From 1cabe7e1924f507d99cfeb2000cd998a9a21ec6f Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Sat, 4 Jul 2026 06:59:16 +0800
Subject: [PATCH 01/37] feat(collectivex): fetch versioned v1 artifacts
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Replace the synthetic preview with server-side JIT discovery and validation of the promoted CollectiveX V1 GitHub Actions artifact. Scope channel, immutable dataset, query cache, and UI selection by benchmark version while preserving publisher-owned decisions.

中文：将合成预览替换为服务端即时发现并校验 CollectiveX V1 GitHub Actions 发布产物。Channel、不可变数据集、查询缓存与 UI 选择器均按基准版本隔离，同时继续由 publisher 独占资格判定、排名与推荐逻辑。
---
 .env.example                                  |    6 +-
 packages/app/cypress/component/tab-nav.cy.tsx |    6 +
 .../e2e/agentic-point-time-series.cy.ts       |    8 +-
 packages/app/cypress/e2e/collectivex.cy.ts    |  764 +++++++++
 packages/app/package.json                     |    4 +-
 .../src/app/(dashboard)/collectivex/page.tsx  |   10 +
 .../collectivex-data/[...path]/route.test.ts  |   96 ++
 .../app/collectivex-data/[...path]/route.ts   |   74 +
 packages/app/src/app/sitemap.ts               |    1 +
 .../app/zh/(dashboard)/collectivex/page.tsx   |   16 +
 .../collectivex/CollectiveXChart.tsx          |  281 ++++
 .../collectivex/CollectiveXDisplay.tsx        | 1472 +++++++++++++++++
 .../collectivex/CollectiveXTables.tsx         | 1162 +++++++++++++
 .../src/components/collectivex/axis.test.ts   |   22 +
 .../app/src/components/collectivex/axis.ts    |   51 +
 .../src/components/collectivex/data.test.ts   |  171 ++
 .../app/src/components/collectivex/data.ts    |  233 +++
 .../src/components/collectivex/reader.test.ts |  559 +++++++
 .../app/src/components/collectivex/reader.ts  |  614 +++++++
 .../components/collectivex/test-fixture.ts    |  787 +++++++++
 .../app/src/components/collectivex/types.ts   |  373 +++++
 .../app/src/components/dashboard-shell.tsx    |   11 +
 packages/app/src/components/header/header.tsx |    1 +
 packages/app/src/components/tab-nav.tsx       |    1 +
 .../src/components/ui/chart-legend-item.tsx   |    8 +-
 .../app/src/components/ui/chart-legend.tsx    |   15 +-
 packages/app/src/components/ui/data-table.tsx |  147 +-
 .../components/ui/searchable-select.test.ts   |   78 +-
 .../src/components/ui/searchable-select.tsx   |  166 +-
 packages/app/src/hooks/api/use-collectivex.ts |   17 +
 .../app/src/lib/allowed-dev-origins.test.ts   |    4 +-
 packages/app/src/lib/allowed-dev-origins.ts   |    2 +-
 packages/app/src/lib/api.test.ts              |   41 +
 packages/app/src/lib/api.ts                   |   13 +
 .../app/src/lib/collectivex-github.test.ts    |  151 ++
 packages/app/src/lib/collectivex-github.ts    |  320 ++++
 .../app/src/lib/d3-chart/D3Chart/types.ts     |    2 +
 .../d3-chart/D3Chart/useD3ChartRenderer.ts    |   40 +-
 .../app/src/lib/d3-chart/chart-update.test.ts |   55 +
 packages/app/src/lib/d3-chart/chart-update.ts |   45 +-
 packages/app/src/lib/i18n.test.ts             |    3 +
 packages/app/src/lib/i18n.ts                  |    1 +
 packages/app/src/lib/tab-meta-zh.ts           |    9 +
 packages/app/src/lib/tab-meta.ts              |    6 +
 .../db/src/etl/compute-chart-series.test.ts   |   22 +-
 pnpm-lock.yaml                                |   54 +-
 46 files changed, 7728 insertions(+), 194 deletions(-)
 create mode 100644 packages/app/cypress/e2e/collectivex.cy.ts
 create mode 100644 packages/app/src/app/(dashboard)/collectivex/page.tsx
 create mode 100644 packages/app/src/app/collectivex-data/[...path]/route.test.ts
 create mode 100644 packages/app/src/app/collectivex-data/[...path]/route.ts
 create mode 100644 packages/app/src/app/zh/(dashboard)/collectivex/page.tsx
 create mode 100644 packages/app/src/components/collectivex/CollectiveXChart.tsx
 create mode 100644 packages/app/src/components/collectivex/CollectiveXDisplay.tsx
 create mode 100644 packages/app/src/components/collectivex/CollectiveXTables.tsx
 create mode 100644 packages/app/src/components/collectivex/axis.test.ts
 create mode 100644 packages/app/src/components/collectivex/axis.ts
 create mode 100644 packages/app/src/components/collectivex/data.test.ts
 create mode 100644 packages/app/src/components/collectivex/data.ts
 create mode 100644 packages/app/src/components/collectivex/reader.test.ts
 create mode 100644 packages/app/src/components/collectivex/reader.ts
 create mode 100644 packages/app/src/components/collectivex/test-fixture.ts
 create mode 100644 packages/app/src/components/collectivex/types.ts
 create mode 100644 packages/app/src/hooks/api/use-collectivex.ts
 create mode 100644 packages/app/src/lib/collectivex-github.test.ts
 create mode 100644 packages/app/src/lib/collectivex-github.ts

diff --git a/.env.example b/.env.example
index 645e01ac0..089550091 100644
--- a/.env.example
+++ b/.env.example
@@ -4,8 +4,8 @@
 # ║  Choose ONE option: JSON dump, TCP database, or HTTP database.           ║
 # ╚══════════════════════════════════════════════════════════════════════════╝
 
-# LAN / remote dev: set this machine's IP so the dev server accepts cross-origin requests
-# NEXT_DEV_ALLOWED_ORIGINS=10.112.9.49
+# LAN / remote dev: set this machine's hostname so the dev server accepts cross-origin requests
+# NEXT_DEV_ALLOWED_ORIGINS=dev-machine.local
 
 # Option A: JSON dump (no database needed)
 # Download a DB dump release, unzip it, and point this to the directory.
@@ -22,7 +22,7 @@
 # DATABASE_DRIVER=neon
 # DATABASE_SSL=true
 
-# GitHub PAT (optional) — improves rate limits for star count and workflow metadata
+# GitHub PAT — required for CollectiveX JIT artifact reads; also improves metadata rate limits
 # Create at: https://github.com/settings/personal-access-tokens
 # GITHUB_TOKEN=
 
diff --git a/packages/app/cypress/component/tab-nav.cy.tsx b/packages/app/cypress/component/tab-nav.cy.tsx
index 2c24d2563..31229ac7a 100644
--- a/packages/app/cypress/component/tab-nav.cy.tsx
+++ b/packages/app/cypress/component/tab-nav.cy.tsx
@@ -70,6 +70,11 @@ describe('TabNav — unofficialrun URL preservation (issue #319)', () => {
       'href',
       '/submissions?unofficialruns=12345',
     );
+    cy.get('[data-testid="tab-trigger-collectivex"]').should(
+      'have.attr',
+      'href',
+      '/collectivex?unofficialruns=12345',
+    );
     cy.get('[data-testid="tab-trigger-historical"]').should(
       'have.attr',
       'href',
@@ -109,6 +114,7 @@ describe('TabNav — Hidden popover for gated tabs', () => {
     mountTabNav({});
     cy.get('[data-testid="tab-trigger-inference"]').should('exist');
     cy.get('[data-testid="tab-trigger-gpu-specs"]').should('exist');
+    cy.get('[data-testid="tab-trigger-collectivex"]').should('exist');
     cy.get('[data-testid="tab-trigger-submissions"]').should('exist');
     cy.get('[data-testid="tab-trigger-hidden"]').should('not.exist');
     cy.get('[data-testid="tab-trigger-feedback"]').should('not.exist');
diff --git a/packages/app/cypress/e2e/agentic-point-time-series.cy.ts b/packages/app/cypress/e2e/agentic-point-time-series.cy.ts
index e81610664..c1b92497b 100644
--- a/packages/app/cypress/e2e/agentic-point-time-series.cy.ts
+++ b/packages/app/cypress/e2e/agentic-point-time-series.cy.ts
@@ -245,10 +245,10 @@ describe('Agentic point orchestrator metric sources', () => {
   beforeEach(() => {
     const prefill = sourceSeries(
       {
-        id: 'dynamo|prefill|10.30.1.56:7500|prefill-a|0|0',
+        id: 'dynamo|prefill|prefill-a.internal.test:7500|prefill-a|0|0',
         adapter: 'dynamo',
         role: 'prefill',
-        endpointUrl: '10.30.1.56:7500',
+        endpointUrl: 'prefill-a.internal.test:7500',
         nativeRole: 'prefill',
         workerId: 'prefill-a',
         dpRank: '0',
@@ -259,10 +259,10 @@ describe('Agentic point orchestrator metric sources', () => {
     );
     const decode = sourceSeries(
       {
-        id: 'dynamo|decode|10.30.1.206:7516|decode-a|0|0',
+        id: 'dynamo|decode|decode-a.internal.test:7516|decode-a|0|0',
         adapter: 'dynamo',
         role: 'decode',
-        endpointUrl: '10.30.1.206:7516',
+        endpointUrl: 'decode-a.internal.test:7516',
         nativeRole: 'backend',
         workerId: 'decode-a',
         dpRank: '0',
diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
new file mode 100644
index 000000000..d93ee6a8d
--- /dev/null
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -0,0 +1,764 @@
+import {
+  makeCollectiveXDataset,
+  makeCollectiveXContractDataset,
+  makeCollectiveXDatasetWithPrefillCohort,
+  makeCollectiveXDatasetWithDiagnosticCohort,
+  makeCollectiveXDiagnosticDataset,
+} from '@/components/collectivex/test-fixture';
+import type { CollectiveXDataset } from '@/components/collectivex/types';
+
+type Channel = 'dev-latest' | 'latest-attempt';
+const channelUrl = (channel: Channel) => `/collectivex-data/v1/channels/${channel}.json`;
+
+async function sha256(value: string): Promise<string> {
+  const digest = await crypto.subtle.digest('SHA-256', new TextEncoder().encode(value));
+  return [...new Uint8Array(digest)].map((byte) => byte.toString(16).padStart(2, '0')).join('');
+}
+
+function installPublication(
+  dataset: CollectiveXDataset | Record<string, unknown> = makeCollectiveXDataset(),
+  options: { channel?: Channel; digest?: string; delay?: number } = {},
+) {
+  const channel = options.channel ?? 'dev-latest';
+  const body = JSON.stringify(dataset);
+  const generatedAt =
+    typeof dataset.generated_at === 'string' ? dataset.generated_at : '2026-07-04T01:00:00Z';
+  return cy.wrap(sha256(body), { log: false }).then((actualDigest) => {
+    const digest = options.digest ?? actualDigest;
+    cy.intercept('GET', channelUrl(channel), {
+      body: {
+        format: 'collectivex.channel.v1',
+        channel,
+        generated_at: generatedAt,
+        dataset: {
+          path: `datasets/${digest}/dataset.json`,
+          sha256: digest,
+          bytes: new TextEncoder().encode(body).length,
+        },
+      },
+    }).as(`collectivexChannel-${channel}`);
+    cy.intercept('GET', `/collectivex-data/v1/datasets/${digest}/dataset.json`, {
+      body,
+      delay: options.delay,
+      headers: { 'content-type': 'application/json' },
+    }).as(`collectivexDataset-${channel}`);
+  });
+}
+
+function openCollectiveX() {
+  cy.visit('/collectivex');
+  cy.wait('@collectivexChannel-dev-latest');
+  cy.get('[data-testid="collectivex-display"]').should('be.visible');
+}
+
+describe('CollectiveX native publication', () => {
+  beforeEach(() => {
+    installPublication();
+    installPublication(makeCollectiveXDiagnosticDataset(), { channel: 'latest-attempt' });
+    openCollectiveX();
+  });
+
+  it('defaults to a publisher-controlled, decision-grade cohort', () => {
+    cy.get('[data-testid="collectivex-display"]')
+      .should('contain.text', 'Promoted v1')
+      .and('contain.text', '8/8')
+      .and('contain.text', '24')
+      .and('contain.text', 'H100 EP8 library comparison');
+    cy.get('[data-testid="collectivex-scope-toggle"]')
+      .contains('button', 'Controlled')
+      .should('have.attr', 'aria-selected', 'true');
+    cy.get('[data-testid="collectivex-version-select"]').should('contain.text', 'V1');
+    cy.get('[data-testid="collectivex-mode-select"]').should('contain.text', 'Normal');
+    cy.get('[data-testid="collectivex-ep-select"]').should('contain.text', 'EP8');
+    cy.get('[data-testid="collectivex-fabric-scope-toggle"]')
+      .contains('button', 'All')
+      .should('have.attr', 'aria-selected', 'true');
+    cy.get('[data-testid="collectivex-main-chart"]')
+      .should('contain.text', 'Round trip (measured) · decode · p99')
+      .and('contain.text', 'H100 EP8 · deepep')
+      .and('contain.text', 'H100 EP8 · mori');
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 2);
+    cy.get('[data-testid="collectivex-chart-semantics"]')
+      .should('contain.text', 'Normal')
+      .and('contain.text', 'Token-rank payload')
+      .and('contain.text', 'Activation-only combine')
+      .and('contain.text', '64×8 = 512 samples/component')
+      .and('contain.text', '32 synchronized warmups');
+    cy.get('[data-testid="collectivex-controlled-stability"]')
+      .should('contain.text', 'p50 1.050x ≤ 1.10x')
+      .and('contain.text', 'p99 1.100x ≤ 1.25x')
+      .and('contain.text', 'stable ordering passed');
+    cy.get('[data-testid="collectivex-diagnostic-warning"]').should('not.exist');
+    cy.get('[data-testid="collectivex-source-link"]').should(
+      'have.attr',
+      'href',
+      `https://github.com/SemiAnalysisAI/InferenceX/tree/${'a'.repeat(40)}/experimental/CollectiveX`,
+    );
+    cy.get('[data-testid="collectivex-methodology-link"]')
+      .should('contain.text', 'Methodology')
+      .and(
+        'have.attr',
+        'href',
+        `https://github.com/SemiAnalysisAI/InferenceX/blob/${'a'.repeat(40)}/experimental/CollectiveX/docs/methodology.md`,
+      );
+    cy.get('[data-testid="collectivex-cohort-select"]').click();
+    cy.get('input[aria-label="Search CollectiveX cohorts"]')
+      .should('have.attr', 'placeholder', 'Search cohorts...')
+      .type('routing comparison');
+    cy.get('[data-slot="select-content"]')
+      .should('contain.text', 'Routing sensitivities')
+      .and('not.contain.text', 'NVIDIA chip comparison');
+    cy.get('button[aria-label="Clear cohort search"]').click();
+    cy.get('[data-testid="collectivex-cohort-select"]').click();
+  });
+
+  it('serves the bilingual sibling from the same isolated publication', () => {
+    cy.visit('/zh/collectivex');
+    cy.wait('@collectivexChannel-dev-latest');
+    cy.get('[data-testid="zh-tab-intro"]')
+      .should('contain.text', 'CollectiveX 通信基准测试')
+      .and('contain.text', '专家并行');
+    cy.get('[data-testid="collectivex-display"]')
+      .should('contain.text', '已发布 v1')
+      .and('contain.text', '决策级序列')
+      .and('contain.text', '受控队列');
+    cy.get('[data-testid="collectivex-methodology-link"]')
+      .should('contain.text', '测试方法')
+      .and(
+        'have.attr',
+        'href',
+        `https://github.com/SemiAnalysisAI/InferenceX/blob/${'a'.repeat(40)}/experimental/CollectiveX/docs/methodology_zh.md`,
+      );
+    cy.get('[data-testid="collectivex-channel-toggle"]')
+      .contains('button', '已发布')
+      .should('have.attr', 'aria-selected', 'true');
+    cy.get('[data-testid="collectivex-scope-toggle"]').should('contain.text', '受控对比');
+    cy.get('[data-testid="collectivex-operation-select"]').should('contain.text', '往返');
+    cy.get('[data-testid="chart-legend"] input[type="text"]')
+      .should('have.attr', 'placeholder', '搜索…')
+      .and('have.attr', 'aria-label', '搜索图例')
+      .type('deepep');
+    cy.get('[data-testid="chart-legend"] button[aria-label="清除搜索"]').click();
+    cy.get('[data-testid="collectivex-cohort-select"]').should(
+      'contain.text',
+      'H100 EP8 / 常规 / 域内（scale-up） / 解码 / uniform / 通信库对比（2 个序列）',
+    );
+    cy.get('[data-testid="collectivex-cohort-select"]').click();
+    cy.get('input[aria-label="搜索 CollectiveX 队列"]')
+      .should('have.attr', 'placeholder', '搜索队列…')
+      .type('路由对比');
+    cy.get('[data-slot="select-content"]')
+      .should('contain.text', '路由敏感性')
+      .and('not.contain.text', '平台对比');
+    cy.get('button[aria-label="清除队列搜索"]').click();
+    cy.get('[data-testid="collectivex-cohort-select"]').click();
+    cy.contains('[role="tab"]', '决策').click();
+    cy.get('[data-testid="collectivex-rankings"]')
+      .should('contain.text', '排名')
+      .and('contain.text', '通信库对比 p99 延迟 T=128')
+      .and('contain.text', '解码 T=128 往返 p99 延迟')
+      .and('contain.text', '在相同实际系统、工作负载与测量协议下对比通信库')
+      .and('not.contain.text', 'Matched H100');
+    cy.get('[data-testid="collectivex-comparison-contract"]')
+      .should('contain.text', '对比协议')
+      .and('contain.text', '保持一致')
+      .and('contain.text', '实际系统与拓扑')
+      .and('contain.text', '后端实现')
+      .and('contain.text', '64 次试验 × 8 次迭代 = 每个分项 512 个样本')
+      .and('contain.text', '32 次同步完整往返预热')
+      .and('contain.text', 'p50 1.050 倍 ≤ 1.10 倍')
+      .and('contain.text', '排名顺序稳定')
+      .and('contain.text', '已通过');
+    cy.get('[data-testid="collectivex-recommendations"]')
+      .should('contain.text', '符合条件的最佳配置')
+      .and('contain.text', 'T=128 时 p99 延迟最低')
+      .and('contain.text', '受控队列中排名第一的稳定实测往返结果')
+      .and('contain.text', '1.0.0 · backend-default · build dddddddd')
+      .and('not.contain.text', 'Best p99 latency');
+    cy.get('[data-testid="collectivex-cohort-select"]').click();
+    cy.contains(
+      '[role="option"]',
+      'deepep EP8 / 常规 / 域内（scale-up） / 解码 / uniform / 平台对比（2 个序列）',
+    ).should('exist');
+    cy.contains(
+      '[role="option"]',
+      '参考实现 EP8 / 常规 / 域内（scale-up） / 解码 / uniform / 参考系统对比（2 个序列）',
+    ).should('exist');
+    cy.contains(
+      '[role="option"]',
+      'H100 / deepep / EP8 / 常规 / 域内（scale-up） / 解码 / 路由对比（3 个序列）',
+    ).click();
+    cy.get('[data-testid="collectivex-sensitivity"]')
+      .should('contain.text', '路由敏感性：p99 延迟 T=128')
+      .and('contain.text', '实验性')
+      .and('contain.text', 'series 00000001');
+    cy.contains('[role="tab"]', '证据').click();
+    cy.get('[data-testid="collectivex-coverage"]')
+      .should('contain.text', '终结状态覆盖')
+      .and('contain.text', '后端不支持该平台')
+      .and('contain.text', '能力限制')
+      .and('contain.text', '每页');
+    cy.get('[data-testid="collectivex-coverage-table"] input')
+      .should('have.attr', 'placeholder', '搜索…')
+      .and('have.attr', 'aria-label', '搜索表格');
+    cy.get('[data-testid="collectivex-attempts"]')
+      .should('contain.text', '保留的全部尝试')
+      .and('contain.text', '后端不支持该平台');
+    cy.get('[data-testid="language-toggle"]').should('have.attr', 'href', '/collectivex');
+  });
+
+  it('selects exact low-latency EP16 scale-out semantics without mixing normal mode', () => {
+    installPublication(makeCollectiveXContractDataset(), { channel: 'latest-attempt' });
+    cy.get('[data-testid="collectivex-channel-toggle"]')
+      .contains('button', 'Latest attempt')
+      .click();
+    cy.wait('@collectivexChannel-latest-attempt');
+
+    cy.get('[data-testid="collectivex-mode-select"]').contains('button', 'Low latency').click();
+    cy.get('[data-testid="collectivex-ep-select"]').click();
+    cy.contains('[role="option"]', 'EP16').click();
+    cy.get('[data-testid="collectivex-fabric-scope-toggle"]')
+      .contains('button', 'Scale-out')
+      .click();
+
+    cy.get('[data-testid="collectivex-phase-toggle"]')
+      .find('button')
+      .should('have.length', 1)
+      .and('contain.text', 'Decode')
+      .and('have.attr', 'aria-selected', 'true');
+    cy.get('[data-testid="collectivex-chart-semantics"]')
+      .should('contain.text', 'Low latency')
+      .and('contain.text', 'EP16')
+      .and('contain.text', 'Scale-out')
+      .and('contain.text', 'Token-expert payload')
+      .and('contain.text', 'Gate-weighted combine');
+    cy.get('[data-testid="collectivex-main-chart"]')
+      .should('contain.text', 'low-latency')
+      .and('contain.text', 'h100-nvlink-rdma');
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
+
+    cy.get('[data-testid="collectivex-fabric-scope-toggle"]')
+      .contains('button', 'Scale-up')
+      .click();
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('not.exist');
+
+    cy.contains('[role="tab"]', 'Evidence').click();
+    cy.get('[data-testid="collectivex-coverage-table"]')
+      .should('contain.text', 'Mode')
+      .and('contain.text', 'EP')
+      .and('contain.text', 'Fabric scope')
+      .and('contain.text', 'Topology')
+      .and('contain.text', 'Low latency')
+      .and('contain.text', 'Scale-out')
+      .and('contain.text', '2x8 · domain 8 · nvlink+rdma');
+  });
+
+  it('labels mixed-scope publisher cohorts without inheriting the first member scope', () => {
+    const mixed = makeCollectiveXDataset();
+    const cohort = mixed.cohorts.find((item) => item.kind === 'chip')!;
+    const first = mixed.series.find((item) => item.series_id === cohort.series_ids[0])!;
+    const second = mixed.series.find((item) => item.series_id === cohort.series_ids[1])!;
+    first.system = {
+      ...first.system,
+      sku: 'gb200',
+      label: 'NVIDIA GB200 NVL72',
+      scope: 'scale-up',
+      nodes: 4,
+      gpus_per_node: 4,
+      scale_up_domain: 72,
+      scale_up_transport: 'mnnvl',
+      scale_out_transport: null,
+      transport: 'mnnvl',
+      topology_class: 'gb200-nvl72-mnnvl',
+      world_size: 16,
+      ep_size: 16,
+    };
+    second.system = {
+      ...second.system,
+      scope: 'scale-out',
+      nodes: 2,
+      scale_out_transport: 'rdma',
+      transport: 'nvlink-rdma',
+      topology_class: 'h100-nvlink-rdma',
+      world_size: 16,
+      ep_size: 16,
+    };
+    installPublication(mixed);
+    cy.visit('/zh/collectivex');
+    cy.wait('@collectivexChannel-dev-latest');
+
+    cy.get('[data-testid="collectivex-ep-select"]').click();
+    cy.contains('[role="option"]', 'EP16').click();
+    cy.get('[data-testid="collectivex-cohort-select"]').click();
+    cy.contains('[role="option"]', '域内（scale-up） ↔ 跨域（scale-out）').should('exist');
+  });
+
+  it('disables source navigation when publication revisions differ', () => {
+    const inconsistent = makeCollectiveXDataset();
+    inconsistent.series[1].build.source_sha = 'b'.repeat(40);
+    installPublication(inconsistent);
+    cy.reload();
+    cy.wait('@collectivexChannel-dev-latest');
+
+    cy.get('[data-testid="collectivex-source-link"]')
+      .should('have.attr', 'aria-disabled', 'true')
+      .and('not.have.attr', 'href');
+  });
+
+  it('switches to the controlled cohort for the selected phase', () => {
+    installPublication(makeCollectiveXDatasetWithPrefillCohort());
+    cy.reload();
+    cy.wait('@collectivexChannel-dev-latest');
+
+    cy.get('[data-testid="collectivex-phase-toggle"]').contains('button', 'Prefill').click();
+    cy.get('[data-testid="collectivex-cohort-select"]').should(
+      'contain.text',
+      'H100 EP8 prefill library comparison',
+    );
+    cy.get('[data-testid="collectivex-main-chart"]')
+      .should('contain.text', 'Round trip (measured) · prefill · p99')
+      .and('contain.text', 'H100 EP8 · deepep')
+      .and('contain.text', 'H100 EP8 · mori');
+    cy.contains('[role="tab"]', 'Decisions').click();
+    cy.get('[data-testid="collectivex-rankings"]')
+      .should('contain.text', 'T=512')
+      .and('contain.text', 'prefill');
+    cy.get('[data-testid="collectivex-recommendations"]').should(
+      'contain.text',
+      'Best p99 latency at T=512',
+    );
+
+    cy.get('[data-testid="collectivex-phase-toggle"]').contains('button', 'Decode').click();
+    cy.get('[data-testid="collectivex-cohort-select"]').should(
+      'contain.text',
+      'H100 EP8 library comparison',
+    );
+    cy.get('[data-testid="collectivex-rankings"]').should('contain.text', 'T=128');
+  });
+
+  it('clears rendered lines when every series is disabled', () => {
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 2);
+    cy.get('[data-testid="chart-legend"] input[type="checkbox"]:checked')
+      .first()
+      .uncheck({ force: true });
+    cy.get('[data-testid="chart-legend"] input[type="checkbox"]:checked')
+      .first()
+      .uncheck({ force: true });
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('not.exist');
+  });
+
+  it('restores internal tabs with browser history', () => {
+    cy.contains('[role="tab"]', 'Decisions').click();
+    cy.location('hash').should('eq', '#tab-decisions');
+    cy.contains('[role="tab"]', 'Evidence').click();
+    cy.location('hash').should('eq', '#tab-evidence');
+    cy.go('back');
+    cy.location('hash').should('eq', '#tab-decisions');
+    cy.get('[data-testid="collectivex-rankings"]').should('be.visible');
+  });
+
+  it('does not query database availability for the isolated page', () => {
+    let availabilityRequests = 0;
+    cy.intercept('GET', '/api/v1/availability', (request) => {
+      availabilityRequests += 1;
+      request.reply([]);
+    });
+    cy.reload();
+    cy.wait('@collectivexChannel-dev-latest');
+    cy.get('[data-testid="collectivex-display"]').should('be.visible');
+    cy.then(() => expect(availabilityRequests).to.eq(0));
+  });
+
+  it('keeps decisions and evidence usable on a mobile viewport', () => {
+    cy.viewport(390, 844);
+    cy.visit('/zh/collectivex');
+    cy.wait('@collectivexChannel-dev-latest');
+    cy.get('[data-testid="collectivex-channel-toggle"]').should('be.visible');
+    cy.get('[data-testid="collectivex-mode-select"]').should('be.visible');
+    cy.get('[data-testid="collectivex-ep-select"]').should('be.visible');
+    cy.get('[data-testid="collectivex-fabric-scope-toggle"]').should('be.visible');
+    cy.get('[data-testid="collectivex-cohort-select"]').should('be.visible');
+    cy.get('[data-testid="collectivex-cohort-select"]').click();
+    cy.get('input[aria-label="搜索 CollectiveX 队列"]').type('平台对比');
+    cy.get('[data-slot="select-content"]').find('[role="option"]').should('have.length', 1);
+    cy.get('button[aria-label="清除队列搜索"]').click();
+    cy.get('[data-testid="collectivex-cohort-select"]').click();
+    cy.get('[data-testid="collectivex-tabs"]').should('be.visible');
+    cy.contains('[role="tab"]', '决策').click();
+    cy.get('[data-testid="collectivex-recommendations-table"]')
+      .should(
+        'contain.text',
+        '1.0.0 · backend-default · build dddddddd · series 00000001 · official',
+      )
+      .find('table')
+      .parent()
+      .should(($container) => {
+        expect($container[0].scrollWidth).to.be.greaterThan($container[0].clientWidth);
+      })
+      .scrollTo('right');
+    cy.get('[data-testid="collectivex-recommendations-table"]')
+      .find('[data-testid="data-table-pagination-summary"]')
+      .should('have.text', '第 1–4 行，共 4 行');
+    cy.get('[data-testid="collectivex-recommendations-table"]')
+      .find('[data-testid="data-table-page-size"]')
+      .should('contain.text', '每页')
+      .and('contain.text', '25')
+      .and('contain.text', '行');
+    cy.get('[data-testid="collectivex-rankings-table"] input').type('正式');
+    cy.get('[data-testid="collectivex-rankings-table"]')
+      .find('[data-testid="data-table-pagination-summary"]')
+      .should('have.text', '第 1–8 行，共 8 行（筛选自 8 行）');
+
+    cy.contains('[role="tab"]', '证据').click();
+    cy.get('[data-testid="collectivex-coverage-table"]')
+      .find('table')
+      .parent()
+      .should(($container) => {
+        expect($container[0].scrollWidth).to.be.greaterThan($container[0].clientWidth);
+      })
+      .scrollTo('right');
+    const coverageSearch = '[data-testid="collectivex-coverage-table"] input';
+    cy.get(coverageSearch).type('解码');
+    cy.get('[data-testid="collectivex-coverage-table"]')
+      .find('[data-testid="data-table-pagination-summary"]')
+      .should('have.text', '第 1–8 行，共 8 行（筛选自 8 行）');
+    cy.get(coverageSearch).clear().type('可运行');
+    cy.get('[data-testid="collectivex-coverage-table"]')
+      .should('not.contain.text', 'MI355X / DeepEP / unsupported')
+      .find('[data-testid="data-table-pagination-summary"]')
+      .should('have.text', '第 1–7 行，共 7 行（筛选自 8 行）');
+    cy.get(coverageSearch).clear().type('成功');
+    cy.get('[data-testid="collectivex-coverage-table"]')
+      .find('[data-testid="data-table-pagination-summary"]')
+      .should('have.text', '第 1–7 行，共 7 行（筛选自 8 行）');
+    cy.get('[data-testid="collectivex-attempts-table"] input').type('选择');
+    cy.get('[data-testid="collectivex-attempts-table"]')
+      .find('[data-testid="data-table-pagination-summary"]')
+      .should('have.text', '第 1–24 行，共 24 行（筛选自 24 行）');
+    cy.document()
+      .its('documentElement')
+      .should((element) => {
+        expect(element.scrollWidth).to.be.at.most(element.clientWidth);
+      });
+  });
+
+  it('requires an explicit switch to render diagnostics', () => {
+    installPublication(makeCollectiveXDatasetWithDiagnosticCohort());
+    cy.reload();
+    cy.wait('@collectivexChannel-dev-latest');
+    cy.get('[data-testid="collectivex-scope-toggle"]').contains('button', 'Diagnostics').click();
+
+    cy.get('[data-testid="collectivex-diagnostic-warning"]')
+      .should('be.visible')
+      .and('contain.text', 'excluded from rankings');
+    cy.get('[data-testid="collectivex-main-chart"]')
+      .should('contain.text', 'H100 EP8 · deepep')
+      .and('contain.text', 'H100 EP8 · mori');
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 2);
+    cy.get('[data-testid="collectivex-sku-select"]').should('exist');
+  });
+
+  it('shows why a controlled cohort was excluded', () => {
+    installPublication(makeCollectiveXDatasetWithDiagnosticCohort());
+    cy.reload();
+    cy.wait('@collectivexChannel-dev-latest');
+    cy.get('[data-testid="collectivex-scope-toggle"]').contains('button', 'Diagnostics').click();
+    cy.get('[data-testid="collectivex-cohort-select"]').click();
+    cy.contains('[role="option"]', 'H100 EP8 library comparison').click();
+
+    cy.get('[data-testid="collectivex-diagnostic-cohort-reasons"]')
+      .should('contain.text', 'unstable-ordering')
+      .and('contain.text', 'p50 1.050x')
+      .and('contain.text', 'p99 1.100x');
+    cy.get('[data-testid="collectivex-main-chart"]')
+      .should('contain.text', 'H100 EP8 · deepep')
+      .and('contain.text', 'H100 EP8 · mori');
+  });
+
+  it('resolves the latest-attempt channel without carrying published data forward', () => {
+    cy.get('[data-testid="collectivex-channel-toggle"]')
+      .contains('button', 'Latest attempt')
+      .click();
+    cy.wait('@collectivexChannel-latest-attempt');
+
+    cy.get('[data-testid="collectivex-display"]')
+      .should('contain.text', 'diagnostic')
+      .and('contain.text', '1/1')
+      .and('contain.text', '2')
+      .and('contain.text', 'H100 EP8 · nccl-ep')
+      .and('not.contain.text', 'H100 EP8 · deepep');
+  });
+
+  it('resets diagnostic cohorts and filters when the publication changes', () => {
+    installPublication(makeCollectiveXDatasetWithDiagnosticCohort());
+    const latest = makeCollectiveXDiagnosticDataset();
+    latest.series[0].label = 'MI300X EP8 · nccl-ep';
+    latest.series[0].system = {
+      ...latest.series[0].system,
+      sku: 'mi300x',
+      label: 'AMD Instinct MI300X',
+      vendor: 'amd',
+      topology_class: 'single-node-xgmi',
+      transport: 'xgmi',
+    };
+    latest.coverage[0].sku = 'mi300x';
+    installPublication(latest, { channel: 'latest-attempt' });
+    cy.reload();
+    cy.wait('@collectivexChannel-dev-latest');
+
+    cy.get('[data-testid="collectivex-scope-toggle"]').contains('button', 'Diagnostics').click();
+    cy.get('[data-testid="collectivex-sku-select"]').click();
+    cy.contains('[role="option"]', 'H100').click();
+    cy.get('[data-testid="collectivex-cohort-select"]').click();
+    cy.contains('[role="option"]', 'H100 EP8 library comparison').click();
+    cy.get('[data-testid="collectivex-sku-select"]').should('not.exist');
+    cy.get('[data-testid="collectivex-channel-toggle"]')
+      .contains('button', 'Latest attempt')
+      .click();
+    cy.wait('@collectivexChannel-latest-attempt');
+
+    cy.get('[data-testid="collectivex-cohort-select"]').should(
+      'contain.text',
+      'All diagnostic evidence',
+    );
+    cy.get('[data-testid="collectivex-sku-select"]').should('contain.text', 'All');
+    cy.get('[data-testid="collectivex-main-chart"]')
+      .should('contain.text', 'MI300X EP8 · nccl-ep')
+      .and('not.contain.text', 'H100 EP8 · deepep');
+  });
+
+  it('never promotes latest-attempt candidates in the browser', () => {
+    const unpromoted = makeCollectiveXDataset();
+    unpromoted.promotion.status = 'diagnostic';
+    installPublication(unpromoted, { channel: 'latest-attempt' });
+    cy.get('[data-testid="collectivex-channel-toggle"]')
+      .contains('button', 'Latest attempt')
+      .click();
+    cy.wait('@collectivexChannel-latest-attempt');
+
+    cy.get('[data-testid="collectivex-scope-toggle"]')
+      .find('button')
+      .should('have.length', 1)
+      .and('contain.text', 'Diagnostics');
+    cy.get('[data-testid="collectivex-main-chart"]')
+      .should('contain.text', 'H100 EP8 · deepep')
+      .and('contain.text', 'H100 EP8 · nccl-ep');
+
+    cy.contains('[role="tab"]', 'Decisions').click();
+    cy.get('[data-testid="collectivex-unpromoted-decisions"]').should(
+      'contain.text',
+      'does not drive rankings or recommendations',
+    );
+    cy.get('[data-testid="collectivex-rankings"]').should('not.exist');
+  });
+
+  it('can inspect the latest attempt before the first promotion exists', () => {
+    cy.intercept('GET', channelUrl('dev-latest'), {
+      statusCode: 404,
+      headers: { 'X-CollectiveX-Status': 'channel-unavailable' },
+    }).as('missingPromotion');
+    cy.reload();
+    cy.wait('@missingPromotion');
+    cy.get('[data-testid="collectivex-error"]')
+      .should('be.visible')
+      .and('contain.text', 'No promoted CollectiveX publication is available yet.')
+      .and('not.contain.text', 'publication rejected');
+
+    cy.get('[data-testid="collectivex-error-channel-toggle"]')
+      .contains('button', 'Latest attempt')
+      .click();
+    cy.wait('@collectivexChannel-latest-attempt');
+    cy.get('[data-testid="collectivex-display"]')
+      .should('be.visible')
+      .and('contain.text', 'diagnostic');
+  });
+
+  it('reports an unavailable GitHub publication source as deployment availability', () => {
+    cy.intercept('GET', channelUrl('dev-latest'), {
+      statusCode: 503,
+      headers: { 'X-CollectiveX-Status': 'source-unavailable' },
+    }).as('unavailableSource');
+    cy.reload();
+    cy.wait('@unavailableSource');
+    cy.get('[data-testid="collectivex-error"]')
+      .should('be.visible')
+      .and('contain.text', 'The GitHub Actions publication source is temporarily unavailable.')
+      .and('not.contain.text', 'publication rejected');
+    cy.get('[data-testid="collectivex-error-channel-toggle"]').should('not.exist');
+
+    cy.visit('/zh/collectivex');
+    cy.wait('@unavailableSource');
+    cy.get('[data-testid="collectivex-error"]')
+      .should('contain.text', 'GitHub Actions 发布数据源暂时不可用。')
+      .and('not.contain.text', 'publication rejected');
+  });
+
+  it('renders only publisher-declared rankings and recommendations', () => {
+    cy.contains('[role="tab"]', 'Decisions').click();
+
+    cy.get('[data-testid="collectivex-rankings"]')
+      .should('contain.text', '3 allocations')
+      .and('contain.text', 'deepep')
+      .and('contain.text', 'build dddddddd')
+      .and('contain.text', 'series 00000001')
+      .and('contain.text', 'mori')
+      .and('contain.text', 'Mode')
+      .and('contain.text', 'EP')
+      .and('contain.text', 'Fabric scope')
+      .and('contain.text', 'Topology')
+      .and('contain.text', 'Point')
+      .and('contain.text', 'Scale-up')
+      .and('contain.text', '1x8 · domain 8 · nvlink')
+      .and('not.contain.text', 'nccl-ep');
+    cy.get('[data-testid="collectivex-rankings-table"] tbody tr')
+      .first()
+      .should('contain.text', 'p50 latency');
+    cy.get('[data-testid="collectivex-recommendations"]')
+      .should('contain.text', 'Best p99 latency at T=128')
+      .and('contain.text', '100 us')
+      .and('contain.text', 'deepep')
+      .and('contain.text', 'Official')
+      .and('contain.text', '1.0.0 · backend-default · build dddddddd · series 00000001 · official');
+    cy.get('[data-testid="collectivex-recommendations-table"] tbody tr')
+      .first()
+      .should('contain.text', 'p50 latency');
+    cy.get('[data-testid="collectivex-comparison-contract"]')
+      .should('contain.text', 'Comparison contract')
+      .and('contain.text', 'Held constant')
+      .and('contain.text', 'Realized system and topology')
+      .and('contain.text', 'Compared')
+      .and('contain.text', 'Backend implementation')
+      .and('contain.text', '64 trials × 8 iterations = 512 samples per component')
+      .and('contain.text', '32 synchronized round-trip warmups')
+      .and('contain.text', 'p99 1.100x ≤ 1.25x')
+      .and('contain.text', 'Stable ordering')
+      .and('contain.text', 'passed');
+
+    cy.get('[data-testid="collectivex-cohort-select"]').click();
+    cy.contains('[role="option"]', 'H100 EP8 routing comparison').click();
+    cy.get('[data-testid="collectivex-recommendations"]').should('not.exist');
+    cy.get('[data-testid="collectivex-rankings"]').should('contain.text', 'Experimental');
+    cy.get('[data-testid="collectivex-sensitivity"]')
+      .should('contain.text', 'Routing sensitivity: p99 latency T=128')
+      .and('contain.text', '30.0%')
+      .and('contain.text', 'series 00000001')
+      .and('contain.text', 'series 00000004')
+      .and('contain.text', 'Experimental');
+    cy.get('[data-testid="collectivex-sensitivity-table"] tbody tr')
+      .first()
+      .should('contain.text', 'p50 latency');
+  });
+
+  it('localizes the bootstrap publication reason in Chinese', () => {
+    const bootstrap = makeCollectiveXDiagnosticDataset();
+    bootstrap.promotion.reason = 'awaiting-v1-runs';
+    installPublication(bootstrap, { channel: 'latest-attempt' });
+    cy.visit('/zh/collectivex');
+    cy.wait('@collectivexChannel-dev-latest');
+    cy.get('[data-testid="collectivex-channel-toggle"]').contains('button', '最新尝试').click();
+    cy.wait('@collectivexChannel-latest-attempt');
+    cy.get('[data-testid="collectivex-promotion-reason"]')
+      .should('contain.text', '等待 CollectiveX v1 运行结果')
+      .and('not.contain.text', 'awaiting-v1-runs');
+  });
+
+  it('shows terminal coverage and every retained retry', () => {
+    cy.contains('[role="tab"]', 'Evidence').click();
+
+    cy.get('[data-testid="collectivex-coverage-table"]')
+      .should('contain.text', 'deepep decode')
+      .and('contain.text', 'nccl-ep decode')
+      .and('contain.text', 'MI355X / DeepEP / unsupported')
+      .and('contain.text', 'Mode')
+      .and('contain.text', 'EP')
+      .and('contain.text', 'Fabric scope')
+      .and('contain.text', 'Topology')
+      .and('contain.text', 'Normal')
+      .and('contain.text', 'Scale-up')
+      .and('contain.text', '1x8 · domain 8 · nvlink')
+      .and('contain.text', 'runnable')
+      .and('contain.text', 'unsupported')
+      .and('contain.text', 'capability')
+      .and('contain.text', 'success');
+    cy.get('[data-testid="collectivex-provenance"]')
+      .should('contain.text', 'Source bundles')
+      .and('contain.text', 'a'.repeat(64))
+      .and('contain.text', 'b'.repeat(64))
+      .and('contain.text', 'c'.repeat(64));
+
+    cy.get('[data-testid="collectivex-channel-toggle"]')
+      .contains('button', 'Latest attempt')
+      .click();
+    cy.wait('@collectivexChannel-latest-attempt');
+    cy.contains('[role="tab"]', 'Evidence').click();
+    cy.get('[data-testid="collectivex-attempts-table"]')
+      .should('contain.text', 'timeout')
+      .and('contain.text', 'execution-timeout')
+      .and('contain.text', 'failed')
+      .and('contain.text', 'retained')
+      .and('contain.text', 'allocation selection')
+      .and('contain.text', 'terminal selection')
+      .and('contain.text', 'Attempt ID')
+      .and('contain.text', 'nccl-ep decode')
+      .and('contain.text', 'Failure mode');
+    cy.get('[data-testid="collectivex-attempts-table"] details')
+      .filter(':has([data-testid="collectivex-evidence-id"])')
+      .first()
+      .find('summary')
+      .click();
+    cy.get('[data-testid="collectivex-attempts-table"] [data-testid="collectivex-evidence-id"]')
+      .first()
+      .invoke('text')
+      .then((evidenceId) => {
+        const id = evidenceId.trim();
+        cy.get('[data-testid="collectivex-attempts-table"] input').clear().type(id);
+        cy.get('[data-testid="collectivex-attempts-table"] tbody tr').should('have.length', 1);
+        cy.get('[data-testid="collectivex-attempts-table"] input').clear().type(id.slice(-8));
+        cy.get('[data-testid="collectivex-attempts-table"]').should('contain.text', id.slice(-8));
+      });
+    cy.get('[data-testid="collectivex-provenance"]')
+      .should('contain.text', 'latest-attempt')
+      .and('contain.text', 'Dataset SHA-256');
+  });
+
+  it('keeps nullable isolated components unavailable', () => {
+    cy.get('[data-testid="collectivex-operation-select"]').click();
+    cy.contains('[role="option"]', 'Dispatch').click();
+
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
+    cy.get('[data-testid="collectivex-main-chart"]').should(
+      'contain.text',
+      'Unavailable components remain null',
+    );
+  });
+
+  it('renders loading while resolving immutable bytes', () => {
+    const delayed = makeCollectiveXDiagnosticDataset();
+    delayed.generated_at = '2026-07-04T02:00:00Z';
+    installPublication(delayed, { channel: 'latest-attempt', delay: 750 });
+    cy.get('[data-testid="collectivex-channel-toggle"]')
+      .contains('button', 'Latest attempt')
+      .click();
+    cy.get('[data-testid="collectivex-loading"]').should('be.visible');
+    cy.wait('@collectivexDataset-latest-attempt');
+    cy.get('[data-testid="collectivex-display"]').should('be.visible');
+  });
+
+  it('fails closed on digest or schema mismatch', () => {
+    installPublication(makeCollectiveXDataset(), { digest: 'f'.repeat(64) });
+    cy.reload();
+    cy.wait('@collectivexChannel-dev-latest');
+    cy.get('[data-testid="collectivex-error"]')
+      .should('be.visible')
+      .and('contain.text', 'SHA-256 does not match');
+
+    const malformed = makeCollectiveXDataset() as unknown as Record<string, unknown>;
+    malformed.browser_ranking = true;
+    installPublication(malformed);
+    cy.reload();
+    cy.wait('@collectivexChannel-dev-latest');
+    cy.get('[data-testid="collectivex-error"]')
+      .should('be.visible')
+      .and('contain.text', 'unknown field browser_ranking');
+  });
+});
diff --git a/packages/app/package.json b/packages/app/package.json
index d51599200..08a0164cf 100644
--- a/packages/app/package.json
+++ b/packages/app/package.json
@@ -32,6 +32,7 @@
     "@chenglou/pretext": "^0.0.8",
     "@jpinsonneau/html-to-image": "^1.11.13",
     "@noble/ciphers": "^2.2.0",
+    "@noble/hashes": "^2.2.0",
     "@posthog/nextjs-config": "^1.9.68",
     "@radix-ui/react-accordion": "^1.2.14",
     "@radix-ui/react-dialog": "^1.1.17",
@@ -69,7 +70,8 @@
     "remark-gfm": "^4.0.1",
     "shiki": "^4.3.0",
     "tailwind-merge": "^3.6.0",
-    "three": "^0.185.0"
+    "three": "^0.185.0",
+    "zod": "^4.4.3"
   },
   "devDependencies": {
     "@bahmutov/cypress-esbuild-preprocessor": "^2.2.8",
diff --git a/packages/app/src/app/(dashboard)/collectivex/page.tsx b/packages/app/src/app/(dashboard)/collectivex/page.tsx
new file mode 100644
index 000000000..d3380bd98
--- /dev/null
+++ b/packages/app/src/app/(dashboard)/collectivex/page.tsx
@@ -0,0 +1,10 @@
+import type { Metadata } from 'next';
+
+import CollectiveXDisplay from '@/components/collectivex/CollectiveXDisplay';
+import { tabMetadata } from '@/lib/tab-meta';
+
+export const metadata: Metadata = tabMetadata('collectivex');
+
+export default function CollectiveXPage() {
+  return <CollectiveXDisplay />;
+}
diff --git a/packages/app/src/app/collectivex-data/[...path]/route.test.ts b/packages/app/src/app/collectivex-data/[...path]/route.test.ts
new file mode 100644
index 000000000..60a1eff64
--- /dev/null
+++ b/packages/app/src/app/collectivex-data/[...path]/route.test.ts
@@ -0,0 +1,96 @@
+import { createHash } from 'node:crypto';
+
+import { beforeEach, describe, expect, it, vi } from 'vitest';
+
+import { parseCollectiveXChannel, parseCollectiveXDataset } from '@/components/collectivex/reader';
+import { makeCollectiveXDataset } from '@/components/collectivex/test-fixture';
+
+const github = vi.hoisted(() => ({
+  errorCode: vi.fn((error: unknown) =>
+    error instanceof Error && 'code' in error ? (error.code as string) : null,
+  ),
+  load: vi.fn(),
+}));
+
+vi.mock('@/lib/collectivex-github', () => ({
+  collectiveXPublicationErrorCode: github.errorCode,
+  loadCollectiveXPublication: github.load,
+}));
+
+import { GET } from './route';
+
+const dataset = makeCollectiveXDataset();
+const body = Buffer.from(`${JSON.stringify(dataset)}\n`);
+const digest = createHash('sha256').update(body).digest('hex');
+
+function request(...segments: string[]) {
+  return GET(new Request('http://localhost/collectivex-data/test'), {
+    params: Promise.resolve({ path: segments }),
+  });
+}
+
+beforeEach(() => {
+  github.load.mockReset();
+  github.load.mockResolvedValue({
+    artifactId: 123,
+    body: Uint8Array.from(body),
+    dataset,
+    digest,
+    runId: 456,
+  });
+});
+
+describe('CollectiveX GitHub publication route', () => {
+  it('resolves dev-latest to the JIT-fetched publication', async () => {
+    const response = await request('v1', 'channels', 'dev-latest.json');
+    const channel = parseCollectiveXChannel(await response.json());
+
+    expect(response.status).toBe(200);
+    expect(response.headers.get('cache-control')).toContain('s-maxage=60');
+    expect(response.headers.get('x-collectivex-source')).toBe('github-actions');
+    expect(channel).toMatchObject({
+      channel: 'dev-latest',
+      dataset: { bytes: body.byteLength, sha256: digest },
+    });
+    expect(github.load).toHaveBeenCalledWith('v1', undefined);
+  });
+
+  it('serves the exact digest-addressed dataset bytes', async () => {
+    const response = await request('v1', 'datasets', digest, 'dataset.json');
+    const served = Buffer.from(await response.arrayBuffer());
+
+    expect(response.status).toBe(200);
+    expect(response.headers.get('cache-control')).toContain('immutable');
+    expect(served).toEqual(body);
+    expect(parseCollectiveXDataset(JSON.parse(served.toString('utf8')))).toEqual(dataset);
+    expect(github.load).toHaveBeenCalledWith('v1', digest);
+  });
+
+  it('keeps latest-attempt unavailable until an explicit artifact exists', async () => {
+    const response = await request('v1', 'channels', 'latest-attempt.json');
+
+    expect(response.status).toBe(404);
+    expect(response.headers.get('x-collectivex-status')).toBe('channel-unavailable');
+    expect(github.load).not.toHaveBeenCalled();
+  });
+
+  it.each([
+    ['not-found', 404, 'channel-unavailable'],
+    ['unavailable', 503, 'source-unavailable'],
+    ['invalid', 502, null],
+  ] as const)('maps %s source failures without exposing details', async (code, status, marker) => {
+    github.load.mockRejectedValue(Object.assign(new Error('private upstream detail'), { code }));
+
+    const response = await request('v1', 'channels', 'dev-latest.json');
+
+    expect(response.status).toBe(status);
+    expect(response.headers.get('x-collectivex-status')).toBe(marker);
+    expect(await response.text()).toBe('');
+  });
+
+  it('rejects unlisted paths before contacting GitHub', async () => {
+    const response = await request('private', 'bundle.json');
+    expect(response.status).toBe(404);
+    expect(github.load).not.toHaveBeenCalled();
+  });
+});
diff --git a/packages/app/src/app/collectivex-data/[...path]/route.ts b/packages/app/src/app/collectivex-data/[...path]/route.ts
new file mode 100644
index 000000000..550d756a5
--- /dev/null
+++ b/packages/app/src/app/collectivex-data/[...path]/route.ts
@@ -0,0 +1,74 @@
+import {
+  collectiveXPublicationErrorCode,
+  loadCollectiveXPublication,
+} from '@/lib/collectivex-github';
+import { COLLECTIVEX_VERSIONS, type CollectiveXVersion } from '@/components/collectivex/types';
+
+export const dynamic = 'force-dynamic';
+export const runtime = 'nodejs';
+
+const VERSION_PATTERN = COLLECTIVEX_VERSIONS.join('|');
+const CHANNEL = new RegExp(
+  `^(?<version>${VERSION_PATTERN})/channels/(?<channel>dev-latest|latest-attempt)\\.json$`,
+);
+const DATASET = new RegExp(
+  `^(?<version>${VERSION_PATTERN})/datasets/(?<digest>[a-f0-9]{64})/dataset\\.json$`,
+);
+
+type AvailabilityStatus = 'channel-unavailable' | 'source-unavailable';
+
+function unavailable(status: number, availability?: AvailabilityStatus) {
+  const headers: Record<string, string> = { 'Cache-Control': 'no-store' };
+  if (availability) headers['X-CollectiveX-Status'] = availability;
+  return new Response(null, { status, headers });
+}
+
+function json(body: BodyInit, cacheControl: string) {
+  return new Response(body, {
+    headers: {
+      'Cache-Control': cacheControl,
+      'Content-Type': 'application/json; charset=utf-8',
+      'X-CollectiveX-Source': 'github-actions',
+      'X-Content-Type-Options': 'nosniff',
+    },
+  });
+}
+
+export async function GET(_request: Request, context: { params: Promise<{ path: string[] }> }) {
+  const parameters = await context.params;
+  const relative = parameters.path.join('/');
+  const channel = CHANNEL.exec(relative);
+  const dataset = DATASET.exec(relative);
+  if (!channel && !dataset) return unavailable(404);
+  if (channel?.groups?.channel === 'latest-attempt') {
+    return unavailable(404, 'channel-unavailable');
+  }
+
+  try {
+    const version = (channel?.groups?.version ?? dataset?.groups?.version) as CollectiveXVersion;
+    const publication = await loadCollectiveXPublication(version, dataset?.groups?.digest);
+    if (dataset) {
+      return json(publication.body, 'public, max-age=31536000, immutable');
+    }
+    return json(
+      `${JSON.stringify({
+        format: 'collectivex.channel.v1',
+        channel: 'dev-latest',
+        generated_at: publication.dataset.generated_at,
+        dataset: {
+          path: `datasets/${publication.digest}/dataset.json`,
+          sha256: publication.digest,
+          bytes: publication.body.byteLength,
+        },
+      })}\n`,
+      'public, s-maxage=60, stale-while-revalidate=300',
+    );
+  } catch (error) {
+    const code = collectiveXPublicationErrorCode(error);
+    if (code === 'not-found') {
+      return unavailable(404, channel ? 'channel-unavailable' : undefined);
+    }
+    if (code === 'unavailable') return unavailable(503, 'source-unavailable');
+    return unavailable(502);
+  }
+}
diff --git a/packages/app/src/app/sitemap.ts b/packages/app/src/app/sitemap.ts
index b4223daa1..12976e2a3 100644
--- a/packages/app/src/app/sitemap.ts
+++ b/packages/app/src/app/sitemap.ts
@@ -21,6 +21,7 @@ const TABS = [
   'reliability',
   'gpu-specs',
   'gpu-metrics',
+  'collectivex',
 ] as const;
 
 type SitemapEntry = MetadataRoute.Sitemap[number];
diff --git a/packages/app/src/app/zh/(dashboard)/collectivex/page.tsx b/packages/app/src/app/zh/(dashboard)/collectivex/page.tsx
new file mode 100644
index 000000000..6496ec8a2
--- /dev/null
+++ b/packages/app/src/app/zh/(dashboard)/collectivex/page.tsx
@@ -0,0 +1,16 @@
+import type { Metadata } from 'next';
+
+import CollectiveXDisplay from '@/components/collectivex/CollectiveXDisplay';
+import { ZhTabIntro } from '@/components/zh/zh-tab-intro';
+import { tabMetadataZh } from '@/lib/tab-meta-zh';
+
+export const metadata: Metadata = tabMetadataZh('collectivex');
+
+export default function ZhCollectiveXPage() {
+  return (
+    <>
+      <ZhTabIntro tab="collectivex" />
+      <CollectiveXDisplay />
+    </>
+  );
+}
diff --git a/packages/app/src/components/collectivex/CollectiveXChart.tsx b/packages/app/src/components/collectivex/CollectiveXChart.tsx
new file mode 100644
index 000000000..d8b9d7935
--- /dev/null
+++ b/packages/app/src/components/collectivex/CollectiveXChart.tsx
@@ -0,0 +1,281 @@
+'use client';
+
+import * as d3 from 'd3';
+import { useMemo } from 'react';
+
+import { D3Chart } from '@/lib/d3-chart/D3Chart';
+
+import { sparseLogTicks } from './axis';
+import { chartPoints, collectiveXColorKey, collectiveXTopologyLabel } from './data';
+import type {
+  CollectiveXChartPoint,
+  CollectiveXOperation,
+  CollectiveXPercentile,
+  CollectiveXSeries,
+  CollectiveXScale,
+  CollectiveXXAxis,
+  CollectiveXYAxis,
+} from './types';
+
+interface CollectiveXChartProps {
+  chartId: string;
+  series: CollectiveXSeries[];
+  colors: Record<string, string>;
+  operation: CollectiveXOperation;
+  percentile: CollectiveXPercentile;
+  xAxis: CollectiveXXAxis;
+  yAxis: CollectiveXYAxis;
+  xScaleType: CollectiveXScale;
+  yScaleType: CollectiveXScale;
+  caption?: React.ReactNode;
+  legendElement?: React.ReactNode;
+  testId?: string;
+}
+
+const OPERATION_LABELS: Record<CollectiveXOperation, string> = {
+  dispatch: 'Dispatch',
+  combine: 'Combine',
+  roundtrip: 'Round trip (measured)',
+  'isolated-sum': 'Isolated sum (Σp, not measured)',
+};
+
+const X_AXIS_LABELS: Record<CollectiveXXAxis, string> = {
+  'tokens-per-rank': 'Source tokens / rank',
+  'global-tokens': 'Global source tokens',
+};
+
+const Y_AXIS_LABELS: Record<CollectiveXYAxis, string> = {
+  latency: 'Latency (µs)',
+  'tokens-per-second': 'Token rate at selected latency percentile (tokens/s)',
+  'payload-rate': 'Logical payload rate at selected latency percentile (GB/s)',
+};
+
+function paddedDomain(values: number[], scaleType: CollectiveXScale): [number, number] {
+  if (values.length === 0) return scaleType === 'log' ? [1, 10] : [0, 1];
+  const min = d3.min(values) ?? 0;
+  const max = d3.max(values) ?? 1;
+  if (min === max) {
+    if (scaleType === 'log') return [Math.max(min / 2, Number.MIN_VALUE), max * 2];
+    const padding = Math.max(Math.abs(min) * 0.1, 1);
+    return [min - padding, max + padding];
+  }
+  if (scaleType === 'log') return [min / 1.08, max * 1.08];
+  const padding = (max - min) * 0.06;
+  return [Math.max(0, min - padding), max + padding];
+}
+
+function formatCompact(value: number): string {
+  if (value >= 1e9) return `${(value / 1e9).toFixed(value < 1e10 ? 1 : 0)}G`;
+  if (value >= 1e6) return `${(value / 1e6).toFixed(value < 1e7 ? 1 : 0)}M`;
+  if (value >= 1e3) return `${(value / 1e3).toFixed(value < 1e4 ? 1 : 0)}k`;
+  if (value >= 10) return value.toFixed(0);
+  if (value >= 1) return value.toFixed(value < 3 ? 1 : 0);
+  return value.toFixed(2);
+}
+
+function formatTokenCount(value: number): string {
+  return Number.isInteger(value) ? value.toLocaleString('en-US') : formatCompact(value);
+}
+
+function formatMetric(value: number, yAxis: CollectiveXYAxis): string {
+  if (yAxis === 'latency') return `${value.toFixed(value >= 100 ? 0 : 1)} µs`;
+  if (yAxis === 'tokens-per-second') return `${formatCompact(value)} tok/s`;
+  return `${value.toFixed(value >= 100 ? 0 : 2)} GB/s`;
+}
+
+function formatPercentiles(
+  value: CollectiveXSeries['points'][number]['components']['dispatch'],
+): string {
+  if (value === null) return 'unavailable';
+  return `${value.latency_us.p50.toFixed(1)} / ${value.latency_us.p90.toFixed(1)} / ${value.latency_us.p95.toFixed(1)} / ${value.latency_us.p99.toFixed(1)} µs`;
+}
+
+function escapeHtml(value: string): string {
+  return value
+    .replaceAll('&', '&amp;')
+    .replaceAll('<', '&lt;')
+    .replaceAll('>', '&gt;')
+    .replaceAll('"', '&quot;')
+    .replaceAll("'", '&#039;');
+}
+
+export function CollectiveXChart({
+  chartId,
+  series,
+  colors,
+  operation,
+  percentile,
+  xAxis,
+  yAxis,
+  xScaleType,
+  yScaleType,
+  caption,
+  legendElement,
+  testId,
+}: CollectiveXChartProps) {
+  const points = useMemo(
+    () => chartPoints(series, operation, percentile, xAxis, yAxis),
+    [series, operation, percentile, xAxis, yAxis],
+  );
+  const seriesById = useMemo(() => new Map(series.map((item) => [item.series_id, item])), [series]);
+  const lines = useMemo(() => {
+    const result: Record<string, { x: number; y: number }[]> = {};
+    for (const point of points) {
+      (result[point.seriesId] ??= []).push({ x: point.x, y: point.y });
+    }
+    for (const line of Object.values(result)) {
+      line.sort((a, b) => a.x - b.x);
+    }
+    return result;
+  }, [points]);
+
+  const xDomain = useMemo(
+    () =>
+      paddedDomain(
+        points.map((point) => point.x),
+        xScaleType,
+      ),
+    [points, xScaleType],
+  );
+  const yDomain = useMemo(
+    () =>
+      paddedDomain(
+        points.map((point) => point.y),
+        yScaleType,
+      ),
+    [points, yScaleType],
+  );
+  const xTickValues = useMemo(
+    () => [...new Set(points.map((point) => point.x))].toSorted((a, b) => a - b),
+    [points],
+  );
+
+  const noDataOverlay =
+    points.length === 0 ? (
+      <div className="absolute inset-0 flex items-center justify-center pointer-events-none">
+        <p className="text-sm text-muted-foreground">
+          {series.length > 0
+            ? `${OPERATION_LABELS[operation]} is unavailable for the selected series.`
+            : 'No matching CollectiveX series.'}
+        </p>
+      </div>
+    ) : undefined;
+
+  return (
+    <D3Chart<CollectiveXChartPoint>
+      chartId={chartId}
+      data={points}
+      height={560}
+      margin={{ top: 24, right: 20, bottom: 62, left: 78 }}
+      watermark="logo"
+      testId={testId}
+      grabCursor
+      instructions="Shift+Scroll to zoom · Drag to pan · Double-click to reset · Click a point to pin tooltip"
+      xScale={
+        xScaleType === 'log'
+          ? { type: 'log', domain: xDomain, nice: false }
+          : { type: 'linear', domain: xDomain, nice: true }
+      }
+      yScale={{ type: yScaleType, domain: yDomain, nice: yScaleType === 'linear' }}
+      xAxis={{
+        label: `${X_AXIS_LABELS[xAxis]}${xScaleType === 'log' ? ' (log)' : ''}`,
+        tickCount: 8,
+        tickValues: xTickValues,
+        tickFormat: (value) => formatTokenCount(Number(value)),
+      }}
+      yAxis={{
+        label: Y_AXIS_LABELS[yAxis],
+        tickCount: 5,
+        tickValues:
+          yScaleType === 'log'
+            ? (scale) => sparseLogTicks(scale.domain().map(Number), 5)
+            : undefined,
+        tickFormat: (value) => formatCompact(Number(value)),
+      }}
+      layers={[
+        {
+          type: 'line',
+          key: 'collectivex-lines',
+          lines,
+          config: {
+            getColor: (key) => {
+              const item = seriesById.get(key);
+              return colors[item ? collectiveXColorKey(item) : ''] ?? '#888';
+            },
+            strokeWidth: 2.25,
+            curve: d3.curveLinear,
+          },
+        },
+        {
+          type: 'point',
+          key: 'collectivex-points',
+          data: points,
+          config: {
+            getCx: () => 0,
+            getCy: () => 0,
+            getX: (point) => point.x,
+            getY: (point) => point.y,
+            getColor: (point) => colors[point.colorKey] ?? '#888',
+            getRadius: () => 3.5,
+            stroke: 'var(--background)',
+            strokeWidth: 1,
+            keyFn: (point) => `${point.seriesId}-${point.x}`,
+            maxPoints: Infinity,
+          },
+        },
+      ]}
+      zoom={{
+        enabled: true,
+        axes: 'both',
+        scaleExtent: [1, 20],
+        resetEventName: `collectivex_zoom_reset_${chartId}`,
+      }}
+      tooltip={{
+        rulerType: 'crosshair',
+        attachToLayer: 1,
+        content: (point, isPinned) => {
+          const color = colors[point.colorKey] ?? '#888';
+          const measurement = point.point;
+          const measuredRoundtrip = measurement.components.roundtrip;
+          const eplb = point.series.eplb;
+          const eplbDetails = eplb.enabled
+            ? `${escapeHtml(eplb.planner ?? 'enabled')} · ${eplb.physical_experts}/${eplb.logical_experts} physical/logical · ${eplb.redundant_experts} redundant · ${eplb.replicated_experts} replicated (max ${eplb.max_replicas ?? 'n/a'}x) · reference T=${eplb.reference_tokens_per_rank ?? 'n/a'} · imbalance ${eplb.imbalance_before?.toFixed(3) ?? 'n/a'} -> ${eplb.imbalance_after?.toFixed(3) ?? 'n/a'}`
+            : `off · ${eplb.logical_experts} logical experts`;
+          return `<div class="rounded-md border bg-background/95 px-3 py-2 text-xs shadow-md backdrop-blur-sm" style="min-width: 230px; user-select: ${isPinned ? 'text' : 'none'}">
+            ${isPinned ? '<div style="color: var(--muted-foreground); font-size: 10px; margin-bottom: 6px; font-style: italic;">Click elsewhere to dismiss</div>' : ''}
+            <div class="font-semibold mb-1" style="color: ${color}">${escapeHtml(point.seriesLabel)}</div>
+            <div>${escapeHtml(OPERATION_LABELS[operation])} ${yAxis === 'latency' ? percentile : `at ${percentile} latency`}: <strong>${formatMetric(point.y, yAxis)}</strong> · ${escapeHtml(point.series.status)}</div>
+            <div class="text-muted-foreground">${measurement.tokens_per_rank} tokens/rank · ${measurement.global_tokens} global tokens</div>
+            <div class="mt-1 text-muted-foreground">Dispatch p50/p90/p95/p99: ${formatPercentiles(measurement.components.dispatch)}</div>
+            <div class="text-muted-foreground">Combine p50/p90/p95/p99: ${formatPercentiles(measurement.components.combine)}</div>
+            <div class="text-muted-foreground">Round trip p50/p90/p95/p99: ${formatPercentiles(measuredRoundtrip)}${measuredRoundtrip ? ' (measured)' : ''}</div>
+            <div class="text-muted-foreground">Fan-out: ${measurement.routing.fanout_mean.toFixed(2)} · routed copies: ${measurement.routing.routed_copies} · recv max: ${measurement.routing.recv_tokens_max}</div>
+            <div class="text-muted-foreground">Expert CV: ${measurement.routing.expert_load_cv.toFixed(3)} · rank CV: ${measurement.routing.payload_rank_cv.toFixed(3)} · hotspot: ${measurement.routing.hotspot_ratio.toFixed(2)}x · empty experts/ranks: ${measurement.routing.empty_expert_count}/${measurement.routing.empty_rank_count}</div>
+            <div class="text-muted-foreground">Correctness: ${measurement.correct ? 'pass' : 'fail'} · EPLB: ${eplbDetails}</div>
+            ${eplb.mapping_sha256 ? `<div class="text-muted-foreground" style="word-break: break-all;">EPLB mapping SHA-256: ${escapeHtml(eplb.mapping_sha256)}</div>` : ''}
+            <div class="mt-1 text-muted-foreground">Mode: ${escapeHtml(point.series.mode)} · payload unit: ${escapeHtml(point.series.measurement.payload_unit)} · combine: ${escapeHtml(point.series.measurement.combine_semantics)}</div>
+            <div class="text-muted-foreground">Topology: EP${point.series.system.ep_size} · ${escapeHtml(point.series.system.scope)} · ${escapeHtml(collectiveXTopologyLabel(point.series.system))}</div>
+            <div class="text-muted-foreground">${escapeHtml(point.series.measurement.contract)} · ${escapeHtml(point.series.suite)}</div>
+            <div class="text-muted-foreground">${escapeHtml(point.series.workload.dispatch_dtype)} · ${escapeHtml(point.series.workload.routing)}${point.series.workload.eplb ? '+eplb' : ''}</div>
+            <div class="mt-1 text-muted-foreground">workload=${escapeHtml(point.series.workload.workload_id.slice(0, 24))} · allocations=${point.series.allocation_ids.length}</div>
+            <div class="text-muted-foreground" style="word-break: break-all;">point=${escapeHtml(measurement.point_id)}</div>
+            <div class="text-muted-foreground">evidence=${measurement.evidence_ids.map((id) => escapeHtml(id.slice(-8))).join(' · ')}</div>
+          </div>`;
+        },
+        getRulerX: (point, scale) =>
+          (scale as d3.ScaleLinear<number, number> | d3.ScaleLogarithmic<number, number>)(point.x),
+        getRulerY: (point, scale) => scale(point.y),
+        onHoverStart: (selection) => {
+          selection.attr('r', 6);
+        },
+        onHoverEnd: (selection) => {
+          selection.attr('r', 3.5);
+        },
+      }}
+      transitionDuration={200}
+      legendElement={legendElement}
+      noDataOverlay={noDataOverlay}
+      caption={caption}
+    />
+  );
+}
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
new file mode 100644
index 000000000..810ac34ad
--- /dev/null
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -0,0 +1,1472 @@
+'use client';
+
+import { BookOpen, ExternalLink, Loader2, RefreshCw } from 'lucide-react';
+import { useCallback, useEffect, useMemo, useState } from 'react';
+
+import { Button } from '@/components/ui/button';
+import { Card } from '@/components/ui/card';
+import ChartLegend from '@/components/ui/chart-legend';
+import { Label } from '@/components/ui/label';
+import { SearchableSelect, type SearchableSelectGroup } from '@/components/ui/searchable-select';
+import { SegmentedToggle, type SegmentedToggleOption } from '@/components/ui/segmented-toggle';
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from '@/components/ui/select';
+import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
+import { useCollectiveX } from '@/hooks/api/use-collectivex';
+import { useThemeColors } from '@/hooks/useThemeColors';
+import { track } from '@/lib/analytics';
+import { useLocale } from '@/lib/use-locale';
+
+import { CollectiveXChart } from './CollectiveXChart';
+import { collectiveXAvailabilityReason } from './reader';
+import {
+  CollectiveXAttemptTable,
+  collectiveXCohortLabel,
+  CollectiveXCoverageTable,
+  CollectiveXDecisionTables,
+  collectiveXReasonLabel,
+} from './CollectiveXTables';
+import {
+  cohortMatchesSelection,
+  collectiveXColorKey,
+  collectiveXSeriesLabel,
+  collectiveXTopologyLabel,
+  comparisonDifferences,
+  seriesMatchesSelection,
+  type CollectiveXFabricScope,
+} from './data';
+import {
+  COLLECTIVEX_VERSIONS,
+  type CollectiveXCohort,
+  type CollectiveXMode,
+  type CollectiveXOperation,
+  type CollectiveXPercentile,
+  type CollectiveXPhase,
+  type CollectiveXScale,
+  type CollectiveXSeries,
+  type CollectiveXVersion,
+  type CollectiveXXAxis,
+  type CollectiveXYAxis,
+} from './types';
+
+type EvidenceScope = 'controlled' | 'diagnostic';
+type PublicationChannel = 'dev-latest' | 'latest-attempt';
+type CollectiveXTab = 'results' | 'decisions' | 'evidence';
+interface SelectOption<T extends string> {
+  value: T;
+  label: string;
+}
+
+const PERCENTILE_OPTIONS: SegmentedToggleOption<CollectiveXPercentile>[] = [
+  { value: 'p50', label: 'p50' },
+  { value: 'p90', label: 'p90' },
+  { value: 'p95', label: 'p95' },
+  { value: 'p99', label: 'p99' },
+];
+const TAB_VALUES: CollectiveXTab[] = ['results', 'decisions', 'evidence'];
+const STRINGS = {
+  en: {
+    operation: {
+      dispatch: 'Dispatch',
+      combine: 'Combine',
+      roundtrip: 'Round trip',
+      'isolated-sum': 'Isolated sum',
+    },
+    operationHeading: {
+      dispatch: 'Dispatch',
+      combine: 'Combine',
+      roundtrip: 'Round trip (measured)',
+      'isolated-sum': 'Isolated sum (derived)',
+    },
+    phase: { decode: 'Decode', prefill: 'Prefill' },
+    phaseValue: { decode: 'decode', prefill: 'prefill' },
+    scale: { log: 'Log', linear: 'Linear' },
+    xAxis: {
+      'tokens-per-rank': 'Source tokens / rank',
+      'global-tokens': 'Global source tokens',
+    },
+    yAxis: {
+      latency: 'Latency',
+      'tokens-per-second': 'Token rate at selected latency percentile',
+      'payload-rate': 'Logical payload rate at selected latency percentile',
+    },
+    evidenceScope: { controlled: 'Controlled', diagnostic: 'Diagnostics' },
+    mode: { normal: 'Normal', 'low-latency': 'Low latency' },
+    fabricScope: { all: 'All', 'scale-up': 'Scale-up', 'scale-out': 'Scale-out' },
+    topologyScope: { 'scale-up': 'Scale-up', 'scale-out': 'Scale-out' },
+    payloadUnit: { 'token-rank': 'Token-rank payload', 'token-expert': 'Token-expert payload' },
+    combineSemantics: {
+      'activation-only': 'Activation-only combine',
+      'gate-weighted': 'Gate-weighted combine',
+    },
+    channel: { 'dev-latest': 'Published', 'latest-attempt': 'Latest attempt' },
+    tabs: { results: 'EP results', decisions: 'Decisions', evidence: 'Evidence' },
+    promotion: { promoted: 'Promoted v1', diagnostic: 'diagnostic', quarantined: 'quarantined' },
+    all: 'All',
+    loading: 'Resolving CollectiveX publication...',
+    unavailable: 'CollectiveX publication unavailable',
+    storeUnavailable: 'The isolated publication store is not attached to this deployment.',
+    artifactSourceUnavailable: 'The GitHub Actions publication source is temporarily unavailable.',
+    promotedUnavailable: 'No promoted CollectiveX publication is available yet.',
+    attemptUnavailable: 'No CollectiveX attempt has been published yet.',
+    failedValidation: 'The publication failed validation.',
+    publicationAria: 'CollectiveX publication channel',
+    retry: 'Retry',
+    description:
+      'Expert-parallel latency and payload rate across collective libraries and systems.',
+    publicationReason: 'Publication reason',
+    source: 'Source',
+    methodology: 'Methodology',
+    sourceUnavailable: 'Source unavailable because publication revisions differ',
+    refresh: 'Refresh',
+    decisionSeries: 'Decision series',
+    controlledCohorts: 'Controlled cohorts',
+    terminalCases: 'Terminal cases',
+    retainedAttempts: 'Retained attempts',
+    allocations: 'Allocations',
+    publishedUtc: 'Published (UTC)',
+    publication: 'Publication',
+    version: 'Benchmark version',
+    evidence: 'Evidence',
+    evidenceAria: 'CollectiveX evidence scope',
+    modeControl: 'Mode',
+    modeAria: 'CollectiveX mode',
+    epControl: 'EP degree',
+    fabricScopeControl: 'Fabric scope',
+    fabricScopeAria: 'CollectiveX fabric scope',
+    controlledCohort: 'Controlled cohort',
+    diagnosticCohort: 'Diagnostic cohort',
+    cohortKind: {
+      library: 'Library comparisons',
+      chip: 'Platform comparisons',
+      system: 'Reference-system comparisons',
+      routing: 'Routing sensitivities',
+    },
+    searchCohorts: 'Search cohorts...',
+    searchCohortsAria: 'Search CollectiveX cohorts',
+    clearCohortSearch: 'Clear cohort search',
+    noMatchingCohorts: 'No matching cohorts',
+    allDiagnosticEvidence: 'All diagnostic evidence',
+    noEligibleCohort: 'No eligible cohort',
+    allDiagnostics: 'All diagnostics',
+    operationControl: 'Operation',
+    phaseControl: 'Phase',
+    phaseAria: 'CollectiveX phase',
+    latencyPercentile: 'Latency percentile',
+    percentileAria: 'CollectiveX percentile',
+    sku: 'SKU',
+    backend: 'Backend',
+    routing: 'Routing',
+    xAxisControl: 'X axis',
+    xScale: 'X scale',
+    xScaleAria: 'CollectiveX x scale',
+    yAxisControl: 'Y axis',
+    tokenRateOption: 'Token rate at latency percentile',
+    payloadRateOption: 'Payload rate at latency percentile',
+    yScale: 'Y scale',
+    yScaleAria: 'CollectiveX y scale',
+    noControlledSeries: 'No decision-grade series in this cohort and phase.',
+    noDiagnosticSeries: 'No diagnostic series match these filters.',
+    diagnosticEvidence: 'Diagnostic evidence',
+    highContrast: 'High Contrast',
+    resetFilter: 'Reset filter',
+    diagnosticWarning:
+      'Diagnostic evidence is excluded from rankings, recommendations, and regression claims.',
+    excluded: 'Excluded',
+    repeatSpread: 'Repeat spread',
+    stableOrdering: 'stable ordering passed',
+    unstableOrdering: 'stable ordering not passed',
+    samplingContract: (trials: number, iterations: number, samples: number, warmups: number) =>
+      `${trials}×${iterations} = ${samples} samples/component · ${warmups} synchronized warmups`,
+    selectedFactorsDiffer: 'Selected factors differ',
+    differenceLabels: {
+      model: 'model',
+      suite: 'suite',
+      'publication tier': 'publication tier',
+      mode: 'mode',
+      phase: 'phase',
+      'backend implementation': 'backend implementation',
+      'implementation build': 'implementation build',
+      'system identity': 'system identity',
+      'fabric scope': 'fabric scope',
+      topology: 'topology',
+      transport: 'transport',
+      'world size': 'world size',
+      'EP degree': 'EP degree',
+      placement: 'placement',
+      workload: 'workload',
+      'model shape': 'model shape',
+      routing: 'routing',
+      'EPLB plan': 'EPLB plan',
+      dtypes: 'dtypes',
+      'resource profile': 'resource profile',
+      measurement: 'measurement',
+      'token ladder': 'token ladder',
+      'component availability': 'component availability',
+      correctness: 'correctness',
+    },
+    missingComponents: 'Unavailable components remain null and are omitted.',
+    isolatedNote: 'Isolated sum is derived and never drives throughput or recommendations.',
+    payloadNote:
+      'Payload rate is derived at the selected latency percentile and is not physical link bandwidth.',
+    unpromotedEvidence: 'Unpromoted evidence',
+    unpromotedNote: 'Latest-attempt evidence does not drive rankings or recommendations.',
+    provenance: 'Publication provenance',
+    channelLabel: 'Channel',
+    datasetDigest: 'Dataset SHA-256',
+    matrixDigest: 'Matrix SHA-256',
+    sourceBundles: 'Source bundles',
+  },
+  zh: {
+    operation: {
+      dispatch: '分发',
+      combine: '合并',
+      roundtrip: '往返',
+      'isolated-sum': '分项之和',
+    },
+    operationHeading: {
+      dispatch: '分发',
+      combine: '合并',
+      roundtrip: '往返（实测）',
+      'isolated-sum': '分项之和（派生）',
+    },
+    phase: { decode: '解码', prefill: '预填充' },
+    phaseValue: { decode: '解码', prefill: '预填充' },
+    scale: { log: '对数', linear: '线性' },
+    xAxis: {
+      'tokens-per-rank': '每 rank 源 token 数',
+      'global-tokens': '全局源 token 数',
+    },
+    yAxis: {
+      latency: '延迟',
+      'tokens-per-second': '所选延迟分位点的 token 速率',
+      'payload-rate': '所选延迟分位点的逻辑载荷速率',
+    },
+    evidenceScope: { controlled: '受控对比', diagnostic: '诊断' },
+    mode: { normal: '常规', 'low-latency': '低延迟' },
+    fabricScope: { all: '全部', 'scale-up': '域内', 'scale-out': '跨域' },
+    topologyScope: { 'scale-up': '域内（scale-up）', 'scale-out': '跨域（scale-out）' },
+    payloadUnit: { 'token-rank': 'Token-rank 载荷', 'token-expert': 'Token-expert 载荷' },
+    combineSemantics: {
+      'activation-only': '仅激活值合并',
+      'gate-weighted': '门控加权合并',
+    },
+    channel: { 'dev-latest': '已发布', 'latest-attempt': '最新尝试' },
+    tabs: { results: 'EP 结果', decisions: '决策', evidence: '证据' },
+    promotion: { promoted: '已发布 v1', diagnostic: '诊断', quarantined: '已隔离' },
+    all: '全部',
+    loading: '正在解析 CollectiveX 发布数据...',
+    unavailable: 'CollectiveX 发布数据不可用',
+    storeUnavailable: '此部署未连接隔离式 CollectiveX 发布存储。',
+    artifactSourceUnavailable: 'GitHub Actions 发布数据源暂时不可用。',
+    promotedUnavailable: '尚无已发布的 CollectiveX 数据。',
+    attemptUnavailable: '尚无 CollectiveX 运行尝试。',
+    failedValidation: '发布数据未通过验证。',
+    publicationAria: 'CollectiveX 发布通道',
+    retry: '重试',
+    description: '对比集合通信库与系统的专家并行（EP）延迟和逻辑载荷速率。',
+    publicationReason: '发布状态原因',
+    source: '源代码',
+    methodology: '测试方法',
+    sourceUnavailable: '发布数据包含不同代码版本，无法提供单一源代码链接',
+    refresh: '刷新',
+    decisionSeries: '决策级序列',
+    controlledCohorts: '受控队列',
+    terminalCases: '已终结用例',
+    retainedAttempts: '保留尝试',
+    allocations: '独立分配',
+    publishedUtc: '发布时间（UTC）',
+    publication: '发布数据',
+    version: '基准版本',
+    evidence: '证据范围',
+    evidenceAria: 'CollectiveX 证据范围',
+    modeControl: '模式',
+    modeAria: 'CollectiveX 模式',
+    epControl: 'EP 并行度',
+    fabricScopeControl: '互联范围',
+    fabricScopeAria: 'CollectiveX 互联范围',
+    controlledCohort: '受控队列',
+    diagnosticCohort: '诊断队列',
+    cohortKind: {
+      library: '通信库对比',
+      chip: '平台对比',
+      system: '参考系统对比',
+      routing: '路由敏感性',
+    },
+    searchCohorts: '搜索队列…',
+    searchCohortsAria: '搜索 CollectiveX 队列',
+    clearCohortSearch: '清除队列搜索',
+    noMatchingCohorts: '无匹配队列',
+    allDiagnosticEvidence: '全部诊断证据',
+    noEligibleCohort: '无符合条件的队列',
+    allDiagnostics: '全部诊断证据',
+    operationControl: '操作',
+    phaseControl: '阶段',
+    phaseAria: 'CollectiveX 阶段',
+    latencyPercentile: '延迟分位点',
+    percentileAria: 'CollectiveX 延迟分位点',
+    sku: 'SKU',
+    backend: '后端',
+    routing: '路由',
+    xAxisControl: 'X 轴',
+    xScale: 'X 轴刻度',
+    xScaleAria: 'CollectiveX X 轴刻度',
+    yAxisControl: 'Y 轴',
+    tokenRateOption: '延迟分位点对应的 token 速率',
+    payloadRateOption: '延迟分位点对应的逻辑载荷速率',
+    yScale: 'Y 轴刻度',
+    yScaleAria: 'CollectiveX Y 轴刻度',
+    noControlledSeries: '该队列和阶段没有决策级序列。',
+    noDiagnosticSeries: '没有符合当前筛选条件的诊断序列。',
+    diagnosticEvidence: '诊断证据',
+    highContrast: '高对比度',
+    resetFilter: '重置筛选',
+    diagnosticWarning: '诊断证据不会用于排名、推荐或回归结论。',
+    excluded: '排除原因',
+    repeatSpread: '重复运行波动',
+    stableOrdering: '排名顺序稳定性已通过',
+    unstableOrdering: '排名顺序稳定性未通过',
+    samplingContract: (trials: number, iterations: number, samples: number, warmups: number) =>
+      `${trials}×${iterations} = 每个分项 ${samples} 个样本 · ${warmups} 次同步预热`,
+    selectedFactorsDiffer: '所选配置存在差异',
+    differenceLabels: {
+      model: '模型',
+      suite: '测试套件',
+      'publication tier': '发布级别',
+      mode: '模式',
+      phase: '阶段',
+      'backend implementation': '后端实现',
+      'implementation build': '实现构建',
+      'system identity': '系统标识',
+      'fabric scope': '互联范围',
+      topology: '拓扑',
+      transport: '传输方式',
+      'world size': '全局 rank 数',
+      'EP degree': 'EP 并行度',
+      placement: '放置方式',
+      workload: '工作负载',
+      'model shape': '模型形状',
+      routing: '路由',
+      'EPLB plan': 'EPLB 方案',
+      dtypes: '数据类型',
+      'resource profile': '资源配置',
+      measurement: '测量协议',
+      'token ladder': 'token 梯度',
+      'component availability': '测量分项可用性',
+      correctness: '正确性',
+    },
+    missingComponents: '不可用的测量分项保持为空，并从图表中省略。',
+    isolatedNote: '分项之和为派生值，不用于计算吞吐量或生成推荐。',
+    payloadNote: '逻辑载荷速率按所选延迟分位点派生，不代表物理链路带宽。',
+    unpromotedEvidence: '未发布证据',
+    unpromotedNote: '最新尝试中的证据不会用于排名或推荐。',
+    provenance: '发布数据溯源',
+    channelLabel: '通道',
+    datasetDigest: '数据集 SHA-256',
+    matrixDigest: '矩阵 SHA-256',
+    sourceBundles: '源产物包',
+  },
+} as const;
+const PROMOTION_CLASSES = {
+  promoted: 'border-emerald-600/40 bg-emerald-500/10 text-emerald-700 dark:text-emerald-300',
+  diagnostic: 'border-amber-600/40 bg-amber-500/10 text-amber-700 dark:text-amber-300',
+  quarantined: 'border-red-600/40 bg-red-500/10 text-red-700 dark:text-red-300',
+};
+const COHORT_KIND_ORDER: Record<CollectiveXCohort['kind'], number> = {
+  library: 0,
+  chip: 1,
+  system: 2,
+  routing: 3,
+};
+
+function formatDate(value: string, locale: 'en' | 'zh'): string {
+  return new Intl.DateTimeFormat(locale === 'zh' ? 'zh-CN' : 'en', {
+    dateStyle: 'medium',
+    timeStyle: 'short',
+    timeZone: 'UTC',
+  }).format(new Date(value));
+}
+
+function repeatRatio(value: number | null, limit: number, locale: 'en' | 'zh'): string {
+  const suffix = locale === 'zh' ? ' 倍' : 'x';
+  return `${value?.toFixed(3) ?? 'n/a'}${suffix} ≤ ${limit.toFixed(2)}${suffix}`;
+}
+
+function ControlGroup({ label, children }: { label: string; children: React.ReactNode }) {
+  return (
+    <div className="min-w-0 space-y-1.5">
+      <Label className="text-[11px] uppercase tracking-wide text-muted-foreground">{label}</Label>
+      {children}
+    </div>
+  );
+}
+
+function selectOptions(
+  values: string[],
+  allLabel: string,
+  uppercase = false,
+): SelectOption<string>[] {
+  return values.map((value) => ({
+    value,
+    label: value === 'all' ? allLabel : uppercase ? value.toUpperCase() : value,
+  }));
+}
+
+function cohortSeries(cohort: CollectiveXCohort | null, series: CollectiveXSeries[]) {
+  if (cohort === null) return [];
+  const ids = new Set(cohort.series_ids);
+  return series.filter((item) => ids.has(item.series_id));
+}
+
+function publicationSourceSha(series: CollectiveXSeries[]): string | null {
+  const sourceSha = series[0]?.build.source_sha;
+  return sourceSha && series.every((item) => item.build.source_sha === sourceSha)
+    ? sourceSha
+    : null;
+}
+
+export default function CollectiveXDisplay() {
+  const locale = useLocale();
+  const t = STRINGS[locale];
+  const [version, setVersion] = useState<CollectiveXVersion>('v1');
+  const [publication, setPublication] = useState<PublicationChannel>('dev-latest');
+  const { data, error, isLoading, isFetching, refetch } = useCollectiveX(publication, version);
+  const [tab, setTab] = useState<CollectiveXTab>('results');
+  const [evidenceScope, setEvidenceScope] = useState<EvidenceScope>('controlled');
+  const [mode, setMode] = useState<CollectiveXMode>('normal');
+  const [epSize, setEpSize] = useState(8);
+  const [fabricScope, setFabricScope] = useState<CollectiveXFabricScope>('all');
+  const [controlledCohortId, setControlledCohortId] = useState('');
+  const [diagnosticCohortId, setDiagnosticCohortId] = useState('all');
+  const [operation, setOperation] = useState<CollectiveXOperation>('roundtrip');
+  const [phase, setPhase] = useState<CollectiveXPhase>('decode');
+  const [percentile, setPercentile] = useState<CollectiveXPercentile>('p99');
+  const [xAxis, setXAxis] = useState<CollectiveXXAxis>('tokens-per-rank');
+  const [yAxis, setYAxis] = useState<CollectiveXYAxis>('latency');
+  const [xScale, setXScale] = useState<CollectiveXScale>('log');
+  const [yScale, setYScale] = useState<CollectiveXScale>('log');
+  const [sku, setSku] = useState('all');
+  const [backend, setBackend] = useState('all');
+  const [routing, setRouting] = useState('all');
+  const [activeSeriesIds, setActiveSeriesIds] = useState<Set<string>>(new Set());
+  const [legendExpanded, setLegendExpanded] = useState(true);
+  const [highContrast, setHighContrast] = useState(false);
+  const operationOptions: SelectOption<CollectiveXOperation>[] = [
+    { value: 'dispatch', label: t.operation.dispatch },
+    { value: 'combine', label: t.operation.combine },
+    { value: 'roundtrip', label: t.operation.roundtrip },
+    { value: 'isolated-sum', label: t.operation['isolated-sum'] },
+  ];
+  const phaseOptions: SegmentedToggleOption<CollectiveXPhase>[] =
+    mode === 'low-latency'
+      ? [{ value: 'decode', label: t.phase.decode }]
+      : [
+          { value: 'decode', label: t.phase.decode },
+          { value: 'prefill', label: t.phase.prefill },
+        ];
+  const scaleOptions: SegmentedToggleOption<CollectiveXScale>[] = [
+    { value: 'log', label: t.scale.log },
+    { value: 'linear', label: t.scale.linear },
+  ];
+  const xAxisOptions: SelectOption<CollectiveXXAxis>[] = [
+    { value: 'tokens-per-rank', label: t.xAxis['tokens-per-rank'] },
+    { value: 'global-tokens', label: t.xAxis['global-tokens'] },
+  ];
+  const evidenceScopeOptions: SegmentedToggleOption<EvidenceScope>[] = [
+    { value: 'controlled', label: t.evidenceScope.controlled },
+    { value: 'diagnostic', label: t.evidenceScope.diagnostic },
+  ];
+  const diagnosticEvidenceScopeOptions: SegmentedToggleOption<EvidenceScope>[] = [
+    evidenceScopeOptions[1],
+  ];
+  const fabricScopeOptions: SegmentedToggleOption<CollectiveXFabricScope>[] = [
+    { value: 'all', label: t.fabricScope.all },
+    { value: 'scale-up', label: t.fabricScope['scale-up'] },
+    { value: 'scale-out', label: t.fabricScope['scale-out'] },
+  ];
+  const channelOptions: SegmentedToggleOption<PublicationChannel>[] = [
+    { value: 'dev-latest', label: t.channel['dev-latest'] },
+    { value: 'latest-attempt', label: t.channel['latest-attempt'] },
+  ];
+  const versionOptions: SelectOption<CollectiveXVersion>[] = COLLECTIVEX_VERSIONS.map((value) => ({
+    value,
+    label: value.toUpperCase(),
+  }));
+  const tabOptions: { value: CollectiveXTab; label: string }[] = [
+    { value: 'results', label: t.tabs.results },
+    { value: 'decisions', label: t.tabs.decisions },
+    { value: 'evidence', label: t.tabs.evidence },
+  ];
+
+  const dataset = data?.dataset;
+  const sourceSha = useMemo(() => publicationSourceSha(dataset?.series ?? []), [dataset?.series]);
+  const seriesById = useMemo(
+    () => new Map(dataset?.series.map((item) => [item.series_id, item])),
+    [dataset?.series],
+  );
+  const availableModes = useMemo(
+    () =>
+      [...new Set(dataset?.series.map((item) => item.mode))].toSorted((left, right) =>
+        left === 'normal' ? -1 : right === 'normal' ? 1 : 0,
+      ),
+    [dataset?.series],
+  );
+  const availableEpSizes = useMemo(
+    () =>
+      [...new Set(dataset?.series.map((item) => item.system.ep_size))].toSorted((a, b) => a - b),
+    [dataset?.series],
+  );
+  useEffect(() => {
+    if (availableModes.length > 0 && !availableModes.includes(mode)) {
+      const next = availableModes[0];
+      setMode(next);
+      if (next === 'low-latency') setPhase('decode');
+    }
+    if (availableEpSizes.length > 0 && !availableEpSizes.includes(epSize)) {
+      setEpSize(availableEpSizes[0]);
+    }
+  }, [availableEpSizes, availableModes, epSize, mode]);
+  const seriesSelection = useMemo(
+    () => ({ mode, epSize, phase, fabricScope }),
+    [epSize, fabricScope, mode, phase],
+  );
+  const eligibleCohorts = useMemo(
+    () =>
+      dataset?.cohorts
+        .filter((item) => item.eligibility.decision_grade)
+        .toSorted(
+          (left, right) =>
+            COHORT_KIND_ORDER[left.kind] - COHORT_KIND_ORDER[right.kind] ||
+            left.label.localeCompare(right.label),
+        ) ?? [],
+    [dataset?.cohorts],
+  );
+  const allDiagnosticCohorts = useMemo(
+    () =>
+      dataset?.cohorts
+        .filter((item) => !item.eligibility.decision_grade)
+        .toSorted((left, right) => left.label.localeCompare(right.label)) ?? [],
+    [dataset?.cohorts],
+  );
+  const controlledCohorts = useMemo(
+    () =>
+      eligibleCohorts.filter((cohort) =>
+        cohortMatchesSelection(cohort, seriesById, seriesSelection),
+      ),
+    [eligibleCohorts, seriesById, seriesSelection],
+  );
+  const diagnosticCohorts = useMemo(
+    () =>
+      allDiagnosticCohorts.filter((cohort) =>
+        cohortMatchesSelection(cohort, seriesById, seriesSelection),
+      ),
+    [allDiagnosticCohorts, seriesById, seriesSelection],
+  );
+  const selectedControlledCohort = useMemo(
+    () =>
+      controlledCohorts.find((item) => item.cohort_id === controlledCohortId) ??
+      controlledCohorts[0] ??
+      null,
+    [controlledCohortId, controlledCohorts],
+  );
+  const selectedDiagnosticCohort = useMemo(
+    () => diagnosticCohorts.find((item) => item.cohort_id === diagnosticCohortId) ?? null,
+    [diagnosticCohortId, diagnosticCohorts],
+  );
+  const cohortGroups = useMemo<SearchableSelectGroup[]>(() => {
+    const cohorts = evidenceScope === 'controlled' ? controlledCohorts : diagnosticCohorts;
+    const groups = (Object.keys(COHORT_KIND_ORDER) as CollectiveXCohort['kind'][]).flatMap(
+      (kind) => {
+        const options = cohorts
+          .filter((item) => item.kind === kind)
+          .map((item) => ({
+            value: item.cohort_id,
+            label: collectiveXCohortLabel(item, seriesById, locale),
+          }));
+        return options.length === 0
+          ? []
+          : [{ label: `${t.cohortKind[kind]} (${options.length})`, options }];
+      },
+    );
+    return evidenceScope === 'controlled'
+      ? groups
+      : [
+          {
+            label: t.diagnosticEvidence,
+            options: [{ value: 'all', label: t.allDiagnosticEvidence }],
+          },
+          ...groups,
+        ];
+  }, [controlledCohorts, diagnosticCohorts, evidenceScope, locale, seriesById, t]);
+  useEffect(() => {
+    if (selectedControlledCohort && selectedControlledCohort.cohort_id !== controlledCohortId) {
+      setControlledCohortId(selectedControlledCohort.cohort_id);
+    }
+  }, [controlledCohortId, selectedControlledCohort]);
+
+  useEffect(() => {
+    const readHash = () => {
+      const value = window.location.hash.replace(/^#(?:tab-)?/, '');
+      if (TAB_VALUES.includes(value as CollectiveXTab)) setTab(value as CollectiveXTab);
+    };
+    readHash();
+    window.addEventListener('hashchange', readHash);
+    window.addEventListener('popstate', readHash);
+    return () => {
+      window.removeEventListener('hashchange', readHash);
+      window.removeEventListener('popstate', readHash);
+    };
+  }, []);
+
+  const diagnosticSeries = useMemo(() => {
+    if (!dataset) return [];
+    const diagnosticMembers = new Set(allDiagnosticCohorts.flatMap((cohort) => cohort.series_ids));
+    return dataset.series.filter(
+      (item) =>
+        publication === 'latest-attempt' ||
+        item.status === 'diagnostic' ||
+        diagnosticMembers.has(item.series_id),
+    );
+  }, [allDiagnosticCohorts, dataset, publication]);
+  const filteredDiagnosticSeries = useMemo(
+    () => diagnosticSeries.filter((item) => seriesMatchesSelection(item, seriesSelection)),
+    [diagnosticSeries, seriesSelection],
+  );
+  const skuOptions = useMemo(
+    () => ['all', ...new Set(filteredDiagnosticSeries.map((item) => item.system.sku))],
+    [filteredDiagnosticSeries],
+  );
+  const backendOptions = useMemo(
+    () => ['all', ...new Set(filteredDiagnosticSeries.map((item) => item.backend.label))],
+    [filteredDiagnosticSeries],
+  );
+  const routingOptions = useMemo(
+    () => [
+      'all',
+      ...new Set(
+        filteredDiagnosticSeries.map(
+          (item) => `${item.workload.routing}${item.workload.eplb ? '+eplb' : ''}`,
+        ),
+      ),
+    ],
+    [filteredDiagnosticSeries],
+  );
+  useEffect(() => {
+    if (
+      diagnosticCohortId !== 'all' &&
+      !diagnosticCohorts.some((cohort) => cohort.cohort_id === diagnosticCohortId)
+    ) {
+      setDiagnosticCohortId('all');
+    }
+    if (!skuOptions.includes(sku)) setSku('all');
+    if (!backendOptions.includes(backend)) setBackend('all');
+    if (!routingOptions.includes(routing)) setRouting('all');
+  }, [
+    backend,
+    backendOptions,
+    diagnosticCohortId,
+    diagnosticCohorts,
+    routing,
+    routingOptions,
+    sku,
+    skuOptions,
+  ]);
+  const scopedSeries = useMemo(() => {
+    if (!dataset) return [];
+    if (evidenceScope === 'controlled') {
+      return cohortSeries(selectedControlledCohort, dataset.series);
+    }
+    if (selectedDiagnosticCohort) {
+      return cohortSeries(selectedDiagnosticCohort, dataset.series);
+    }
+    return filteredDiagnosticSeries.filter(
+      (item) =>
+        (sku === 'all' || item.system.sku === sku) &&
+        (backend === 'all' || item.backend.label === backend) &&
+        (routing === 'all' ||
+          `${item.workload.routing}${item.workload.eplb ? '+eplb' : ''}` === routing),
+    );
+  }, [
+    backend,
+    dataset,
+    evidenceScope,
+    filteredDiagnosticSeries,
+    routing,
+    selectedControlledCohort,
+    selectedDiagnosticCohort,
+    sku,
+  ]);
+  const phaseSeries = useMemo(
+    () => scopedSeries.filter((item) => item.phase === phase),
+    [phase, scopedSeries],
+  );
+
+  useEffect(() => {
+    setActiveSeriesIds(new Set(phaseSeries.map((item) => item.series_id)));
+  }, [phaseSeries]);
+
+  const activeSeries = useMemo(
+    () => phaseSeries.filter((item) => activeSeriesIds.has(item.series_id)),
+    [activeSeriesIds, phaseSeries],
+  );
+  const colorKeys = useMemo(
+    () => [...new Set(phaseSeries.map(collectiveXColorKey))],
+    [phaseSeries],
+  );
+  const { resolveColor, getCssColor } = useThemeColors({
+    highContrast,
+    activeKeys: colorKeys,
+    hcKeys: colorKeys,
+    hcVendorKeyFor: (key) => key.split('_')[0],
+  });
+  const colors = useMemo(
+    () => Object.fromEntries(colorKeys.map((key) => [key, getCssColor(resolveColor(key, key))])),
+    [colorKeys, getCssColor, resolveColor],
+  );
+  const legendItems = useMemo(
+    () =>
+      phaseSeries.map((item) => ({
+        name: item.series_id,
+        label: collectiveXSeriesLabel(item),
+        color: colors[collectiveXColorKey(item)] ?? 'var(--muted-foreground)',
+        isActive: activeSeriesIds.has(item.series_id),
+        title: `${item.status} · ${item.mode} · EP${item.system.ep_size} · ${item.system.scope} · ${collectiveXTopologyLabel(item.system)} · ${item.workload.workload_id}`,
+        onClick: () => {
+          setActiveSeriesIds((previous) => {
+            const next = new Set(previous);
+            if (next.has(item.series_id)) next.delete(item.series_id);
+            else next.add(item.series_id);
+            return next;
+          });
+          track('collectivex_series_toggled', { series: item.series_id });
+        },
+      })),
+    [activeSeriesIds, colors, phaseSeries],
+  );
+  const warnings = useMemo(
+    () => (evidenceScope === 'diagnostic' ? comparisonDifferences(activeSeries) : []),
+    [activeSeries, evidenceScope],
+  );
+  const missingComponents = activeSeries.some((item) =>
+    item.points.some((point) =>
+      operation === 'isolated-sum'
+        ? point.components.isolated_sum === null
+        : point.components[operation] === null,
+    ),
+  );
+  const chartSemantics = useMemo(() => {
+    const modes = [...new Set(phaseSeries.map((item) => item.mode))]
+      .map((item) => t.mode[item])
+      .join(' / ');
+    const eps = [...new Set(phaseSeries.map((item) => `EP${item.system.ep_size}`))].join(' / ');
+    const fabric = [...new Set(phaseSeries.map((item) => item.system.scope))]
+      .map((item) => t.topologyScope[item])
+      .join(' / ');
+    const payload = [...new Set(phaseSeries.map((item) => item.measurement.payload_unit))]
+      .map((item) => t.payloadUnit[item])
+      .join(' / ');
+    const combine = [...new Set(phaseSeries.map((item) => item.measurement.combine_semantics))]
+      .map((item) => t.combineSemantics[item])
+      .join(' / ');
+    const sampling = [
+      ...new Set(
+        phaseSeries.map((item) =>
+          t.samplingContract(
+            item.measurement.trials,
+            item.measurement.iters,
+            item.measurement.samples_per_component,
+            item.measurement.warmups,
+          ),
+        ),
+      ),
+    ].join(' / ');
+    return [modes, eps, fabric, payload, combine, sampling].filter(Boolean).join(' · ');
+  }, [phaseSeries, t]);
+
+  const handleRefresh = useCallback(() => {
+    track('collectivex_data_refreshed');
+    void refetch();
+  }, [refetch]);
+  const handlePublication = useCallback((value: PublicationChannel) => {
+    setPublication(value);
+    setEvidenceScope(value === 'dev-latest' ? 'controlled' : 'diagnostic');
+    setDiagnosticCohortId('all');
+    setMode('normal');
+    setEpSize(8);
+    setFabricScope('all');
+    setPhase('decode');
+    setSku('all');
+    setBackend('all');
+    setRouting('all');
+    track('collectivex_publication_changed', { publication: value });
+  }, []);
+  const handleTab = useCallback((value: string) => {
+    const next = value as CollectiveXTab;
+    setTab(next);
+    window.location.hash = `tab-${next}`;
+    track('collectivex_tab_changed', { tab: next });
+  }, []);
+
+  if (isLoading) {
+    return (
+      <Card data-testid="collectivex-loading" className="min-h-80 items-center justify-center">
+        <Loader2 className="size-6 animate-spin text-muted-foreground" />
+        <p className="mt-3 text-sm text-muted-foreground">{t.loading}</p>
+      </Card>
+    );
+  }
+  if (error || !data || !dataset) {
+    const availabilityReason = collectiveXAvailabilityReason(error);
+    const message =
+      availabilityReason === 'source-unavailable'
+        ? t.artifactSourceUnavailable
+        : availabilityReason === 'store-unavailable'
+          ? t.storeUnavailable
+          : availabilityReason === 'channel-unavailable'
+            ? publication === 'dev-latest'
+              ? t.promotedUnavailable
+              : t.attemptUnavailable
+            : error instanceof Error
+              ? error.message
+              : t.failedValidation;
+    return (
+      <Card
+        data-testid="collectivex-error"
+        className={availabilityReason ? undefined : 'border-destructive'}
+      >
+        <h1 className="text-lg font-semibold">{t.unavailable}</h1>
+        <p
+          className={
+            availabilityReason
+              ? 'mt-2 text-sm text-muted-foreground'
+              : 'mt-2 text-sm text-destructive'
+          }
+        >
+          {message}
+        </p>
+        <div className="mt-4 flex flex-wrap items-center gap-3">
+          <div className="min-w-32">
+            <SelectControl
+              label={t.version}
+              testId="collectivex-error-version-select"
+              value={version}
+              options={versionOptions}
+              onChange={setVersion}
+            />
+          </div>
+          {!['store-unavailable', 'source-unavailable'].includes(availabilityReason ?? '') && (
+            <SegmentedToggle
+              value={publication}
+              options={channelOptions}
+              onValueChange={handlePublication}
+              ariaLabel={t.publicationAria}
+              testId="collectivex-error-channel-toggle"
+            />
+          )}
+          <Button variant="outline" onClick={handleRefresh}>
+            <RefreshCw className="size-4" />
+            {t.retry}
+          </Button>
+        </div>
+      </Card>
+    );
+  }
+
+  return (
+    <section data-testid="collectivex-display" className="flex flex-col gap-4">
+      <Card>
+        <div className="flex flex-col gap-4 lg:flex-row lg:items-start lg:justify-between">
+          <div>
+            <div className="flex flex-wrap items-center gap-2">
+              <h1 className="text-xl font-semibold">CollectiveX</h1>
+              <span
+                className={`rounded-md border px-2 py-0.5 text-[11px] font-medium ${PROMOTION_CLASSES[dataset.promotion.status]}`}
+              >
+                {t.promotion[dataset.promotion.status]}
+              </span>
+            </div>
+            <p className="mt-2 text-sm text-muted-foreground">{t.description}</p>
+            {dataset.promotion.reason && (
+              <p
+                data-testid="collectivex-promotion-reason"
+                className="mt-2 text-sm text-destructive"
+              >
+                {t.publicationReason}: {collectiveXReasonLabel(dataset.promotion.reason, locale)}
+              </p>
+            )}
+          </div>
+          <div className="flex shrink-0 flex-wrap items-center gap-2">
+            {sourceSha ? (
+              <>
+                <a
+                  data-testid="collectivex-source-link"
+                  href={`https://github.com/SemiAnalysisAI/InferenceX/tree/${sourceSha}/experimental/CollectiveX`}
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  onClick={() => track('collectivex_source_opened', { source_sha: sourceSha })}
+                  className="inline-flex h-9 items-center gap-1.5 rounded-md border px-3 text-sm font-medium text-muted-foreground transition-colors hover:bg-muted hover:text-foreground"
+                >
+                  {t.source} <ExternalLink className="size-3.5" />
+                </a>
+                <a
+                  data-testid="collectivex-methodology-link"
+                  href={`https://github.com/SemiAnalysisAI/InferenceX/blob/${sourceSha}/experimental/CollectiveX/docs/${locale === 'zh' ? 'methodology_zh.md' : 'methodology.md'}`}
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  onClick={() => track('collectivex_methodology_opened', { source_sha: sourceSha })}
+                  className="inline-flex h-9 items-center gap-1.5 rounded-md border px-3 text-sm font-medium text-muted-foreground transition-colors hover:bg-muted hover:text-foreground"
+                >
+                  <BookOpen className="size-3.5" /> {t.methodology}
+                </a>
+              </>
+            ) : (
+              <span
+                data-testid="collectivex-source-link"
+                aria-disabled="true"
+                title={t.sourceUnavailable}
+                className="inline-flex h-9 cursor-not-allowed items-center gap-1.5 rounded-md border px-3 text-sm font-medium text-muted-foreground opacity-50"
+              >
+                {t.source} <ExternalLink className="size-3.5" />
+              </span>
+            )}
+            <Button variant="outline" size="sm" onClick={handleRefresh} disabled={isFetching}>
+              {isFetching ? (
+                <Loader2 className="size-4 animate-spin" />
+              ) : (
+                <RefreshCw className="size-4" />
+              )}
+              {t.refresh}
+            </Button>
+          </div>
+        </div>
+        <div className="mt-5 grid grid-cols-2 gap-3 sm:grid-cols-3 xl:grid-cols-6">
+          <Stat
+            value={dataset.series.filter((item) => item.status === 'decision-grade').length}
+            label={t.decisionSeries}
+          />
+          <Stat value={eligibleCohorts.length} label={t.controlledCohorts} />
+          <Stat
+            value={`${dataset.promotion.terminal_cases}/${dataset.promotion.requested_cases}`}
+            label={t.terminalCases}
+          />
+          <Stat value={dataset.attempts.length} label={t.retainedAttempts} />
+          <Stat value={dataset.promotion.allocation_ids.length} label={t.allocations} />
+          <Stat value={formatDate(dataset.generated_at, locale)} label={t.publishedUtc} compact />
+        </div>
+      </Card>
+
+      <Card className="py-4 md:py-5">
+        <div className="grid gap-x-5 gap-y-3 sm:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6">
+          <ControlGroup label={t.publication}>
+            <SegmentedToggle
+              value={publication}
+              options={channelOptions}
+              onValueChange={handlePublication}
+              ariaLabel={t.publicationAria}
+              testId="collectivex-channel-toggle"
+            />
+          </ControlGroup>
+          <SelectControl
+            label={t.version}
+            testId="collectivex-version-select"
+            value={version}
+            options={versionOptions}
+            onChange={(value) => {
+              setVersion(value);
+              track('collectivex_version_changed', { version: value });
+            }}
+          />
+          <ControlGroup label={t.evidence}>
+            <SegmentedToggle
+              value={evidenceScope}
+              options={
+                publication === 'dev-latest' ? evidenceScopeOptions : diagnosticEvidenceScopeOptions
+              }
+              onValueChange={(value) => {
+                setEvidenceScope(value);
+                track('collectivex_evidence_scope_changed', { scope: value });
+              }}
+              ariaLabel={t.evidenceAria}
+              testId="collectivex-scope-toggle"
+            />
+          </ControlGroup>
+          <ControlGroup label={t.modeControl}>
+            <SegmentedToggle
+              value={mode}
+              options={availableModes.map((value) => ({ value, label: t.mode[value] }))}
+              onValueChange={(value) => {
+                setMode(value);
+                if (value === 'low-latency') setPhase('decode');
+                track('collectivex_mode_changed', { mode: value });
+              }}
+              ariaLabel={t.modeAria}
+              testId="collectivex-mode-select"
+              className="flex w-full overflow-hidden"
+              buttonClassName="min-w-0 flex-1 justify-center px-1.5 whitespace-nowrap"
+            />
+          </ControlGroup>
+          <SelectControl
+            label={t.epControl}
+            testId="collectivex-ep-select"
+            value={String(epSize)}
+            options={availableEpSizes.map((value) => ({
+              value: String(value),
+              label: `EP${value}`,
+            }))}
+            onChange={(value) => {
+              setEpSize(Number(value));
+              track('collectivex_ep_changed', { ep: Number(value) });
+            }}
+          />
+          <ControlGroup label={t.fabricScopeControl}>
+            <SegmentedToggle
+              value={fabricScope}
+              options={fabricScopeOptions}
+              onValueChange={(value) => {
+                setFabricScope(value);
+                track('collectivex_fabric_scope_changed', { fabric_scope: value });
+              }}
+              ariaLabel={t.fabricScopeAria}
+              testId="collectivex-fabric-scope-toggle"
+              className="flex w-full overflow-hidden"
+              buttonClassName="min-w-0 flex-1 justify-center px-1.5 whitespace-nowrap"
+            />
+          </ControlGroup>
+          <div className="min-w-0 sm:col-span-2">
+            <SearchableSelectControl
+              label={evidenceScope === 'controlled' ? t.controlledCohort : t.diagnosticCohort}
+              testId="collectivex-cohort-select"
+              value={
+                evidenceScope === 'controlled'
+                  ? (selectedControlledCohort?.cohort_id ?? '')
+                  : diagnosticCohortId
+              }
+              onChange={(value) => {
+                if (evidenceScope === 'controlled') setControlledCohortId(value);
+                else {
+                  setDiagnosticCohortId(value);
+                  if (value !== 'all') {
+                    setSku('all');
+                    setBackend('all');
+                    setRouting('all');
+                  }
+                }
+              }}
+              groups={cohortGroups}
+              placeholder={evidenceScope === 'controlled' ? t.noEligibleCohort : t.allDiagnostics}
+              searchPlaceholder={t.searchCohorts}
+              searchAriaLabel={t.searchCohortsAria}
+              clearSearchLabel={t.clearCohortSearch}
+              noResultsLabel={t.noMatchingCohorts}
+            />
+          </div>
+          <SelectControl
+            label={t.operationControl}
+            testId="collectivex-operation-select"
+            value={operation}
+            options={operationOptions}
+            onChange={(next) => {
+              setOperation(next);
+              if (next !== 'roundtrip' && yAxis === 'tokens-per-second') setYAxis('latency');
+              if (next === 'isolated-sum' && yAxis === 'payload-rate') setYAxis('latency');
+            }}
+          />
+          <ControlGroup label={t.phaseControl}>
+            <SegmentedToggle
+              value={phase}
+              options={phaseOptions}
+              onValueChange={setPhase}
+              ariaLabel={t.phaseAria}
+              testId="collectivex-phase-toggle"
+            />
+          </ControlGroup>
+          <ControlGroup label={t.latencyPercentile}>
+            <SegmentedToggle
+              value={percentile}
+              options={PERCENTILE_OPTIONS}
+              onValueChange={setPercentile}
+              ariaLabel={t.percentileAria}
+              testId="collectivex-percentile-toggle"
+            />
+          </ControlGroup>
+          {evidenceScope === 'diagnostic' && diagnosticCohortId === 'all' && (
+            <>
+              <SelectControl
+                label={t.sku}
+                testId="collectivex-sku-select"
+                value={sku}
+                options={selectOptions(skuOptions, t.all, true)}
+                onChange={setSku}
+              />
+              <SelectControl
+                label={t.backend}
+                testId="collectivex-backend-select"
+                value={backend}
+                options={selectOptions(backendOptions, t.all)}
+                onChange={setBackend}
+              />
+              <SelectControl
+                label={t.routing}
+                testId="collectivex-routing-select"
+                value={routing}
+                options={selectOptions(routingOptions, t.all)}
+                onChange={setRouting}
+              />
+            </>
+          )}
+          <SelectControl
+            label={t.xAxisControl}
+            testId="collectivex-x-axis-select"
+            value={xAxis}
+            options={xAxisOptions}
+            onChange={setXAxis}
+          />
+          <ControlGroup label={t.xScale}>
+            <SegmentedToggle
+              value={xScale}
+              options={scaleOptions}
+              onValueChange={setXScale}
+              ariaLabel={t.xScaleAria}
+              testId="collectivex-x-scale-toggle"
+            />
+          </ControlGroup>
+          <SelectControl
+            label={t.yAxisControl}
+            testId="collectivex-y-axis-select"
+            value={yAxis}
+            onChange={setYAxis}
+            options={[
+              { value: 'latency', label: t.yAxis.latency },
+              ...(operation === 'roundtrip'
+                ? ([
+                    {
+                      value: 'tokens-per-second',
+                      label: t.tokenRateOption,
+                    },
+                  ] as const)
+                : []),
+              ...(operation === 'isolated-sum'
+                ? []
+                : ([
+                    {
+                      value: 'payload-rate',
+                      label: t.payloadRateOption,
+                    },
+                  ] as const)),
+            ]}
+          />
+          <ControlGroup label={t.yScale}>
+            <SegmentedToggle
+              value={yScale}
+              options={scaleOptions}
+              onValueChange={setYScale}
+              ariaLabel={t.yScaleAria}
+              testId="collectivex-y-scale-toggle"
+            />
+          </ControlGroup>
+        </div>
+      </Card>
+
+      <Tabs value={tab} onValueChange={handleTab} className="gap-4">
+        <TabsList data-testid="collectivex-tabs" className="overflow-x-auto">
+          {tabOptions.map((item) => (
+            <TabsTrigger key={item.value} value={item.value} id={`tab-${item.value}`}>
+              {item.label}
+            </TabsTrigger>
+          ))}
+        </TabsList>
+        <TabsContent value="results" className="space-y-4">
+          {phaseSeries.length === 0 && (
+            <Card data-testid="collectivex-empty-state" className="py-4">
+              <p className="text-sm text-muted-foreground">
+                {evidenceScope === 'controlled' ? t.noControlledSeries : t.noDiagnosticSeries}
+              </p>
+            </Card>
+          )}
+          <Card data-testid="collectivex-main-chart" className="relative">
+            <CollectiveXChart
+              chartId="collectivex-explorer"
+              testId="collectivex-explorer-chart"
+              series={activeSeries}
+              colors={colors}
+              operation={operation}
+              percentile={percentile}
+              xAxis={xAxis}
+              yAxis={yAxis}
+              xScaleType={xScale}
+              yScaleType={yScale}
+              caption={
+                <>
+                  <h2 className="text-lg font-semibold">
+                    {t.operationHeading[operation]} · {t.phaseValue[phase]} ·{' '}
+                    {yAxis === 'latency'
+                      ? percentile
+                      : locale === 'zh'
+                        ? `${percentile} 延迟分位点`
+                        : `at ${percentile} latency`}
+                  </h2>
+                  <p className="text-sm text-muted-foreground">
+                    {evidenceScope === 'controlled'
+                      ? selectedControlledCohort &&
+                        collectiveXCohortLabel(selectedControlledCohort, seriesById, locale)
+                      : selectedDiagnosticCohort
+                        ? collectiveXCohortLabel(selectedDiagnosticCohort, seriesById, locale)
+                        : t.diagnosticEvidence}{' '}
+                    · {t.yAxis[yAxis]}
+                  </p>
+                  {chartSemantics && (
+                    <p
+                      data-testid="collectivex-chart-semantics"
+                      className="mb-2 text-xs font-medium text-muted-foreground"
+                    >
+                      {chartSemantics}
+                    </p>
+                  )}
+                </>
+              }
+              legendElement={
+                <ChartLegend
+                  variant="sidebar"
+                  legendItems={legendItems}
+                  disableActiveSort
+                  onItemRemove={(id) =>
+                    setActiveSeriesIds(
+                      (previous) => new Set([...previous].filter((item) => item !== id)),
+                    )
+                  }
+                  isLegendExpanded={legendExpanded}
+                  onExpandedChange={setLegendExpanded}
+                  switches={[
+                    {
+                      id: 'collectivex-high-contrast',
+                      label: t.highContrast,
+                      checked: highContrast,
+                      onCheckedChange: setHighContrast,
+                    },
+                  ]}
+                  actions={
+                    activeSeries.length < phaseSeries.length
+                      ? [
+                          {
+                            id: 'collectivex-reset-filter',
+                            label: t.resetFilter,
+                            onClick: () =>
+                              setActiveSeriesIds(
+                                new Set(phaseSeries.map((item) => item.series_id)),
+                              ),
+                          },
+                        ]
+                      : []
+                  }
+                />
+              }
+            />
+            {evidenceScope === 'diagnostic' && (
+              <p
+                data-testid="collectivex-diagnostic-warning"
+                className="mt-3 border-l-2 border-amber-500 bg-amber-500/5 py-1 pl-2 text-xs text-muted-foreground"
+              >
+                {t.diagnosticWarning}
+              </p>
+            )}
+            {evidenceScope === 'diagnostic' && selectedDiagnosticCohort && (
+              <p
+                data-testid="collectivex-diagnostic-cohort-reasons"
+                className="mt-2 text-xs text-muted-foreground"
+              >
+                {t.excluded}:{' '}
+                {selectedDiagnosticCohort.eligibility.reasons
+                  .map((reason) => collectiveXReasonLabel(reason, locale))
+                  .join(', ')}
+                . {t.repeatSpread}: p50{' '}
+                {repeatRatio(selectedDiagnosticCohort.eligibility.p50_max_min_ratio, 1.1, locale)},
+                p99{' '}
+                {repeatRatio(selectedDiagnosticCohort.eligibility.p99_max_min_ratio, 1.25, locale)}.
+              </p>
+            )}
+            {evidenceScope === 'controlled' && selectedControlledCohort && (
+              <p
+                data-testid="collectivex-controlled-stability"
+                className="mt-2 text-xs text-muted-foreground"
+              >
+                {t.repeatSpread}: p50{' '}
+                {repeatRatio(selectedControlledCohort.eligibility.p50_max_min_ratio, 1.1, locale)},
+                p99{' '}
+                {repeatRatio(selectedControlledCohort.eligibility.p99_max_min_ratio, 1.25, locale)}{' '}
+                ·{' '}
+                {selectedControlledCohort.eligibility.stable_ordering
+                  ? t.stableOrdering
+                  : t.unstableOrdering}
+                .
+              </p>
+            )}
+            {warnings.length > 0 && (
+              <p
+                data-testid="collectivex-comparison-warning"
+                className="mt-2 text-xs text-muted-foreground"
+              >
+                {t.selectedFactorsDiffer}:{' '}
+                {warnings
+                  .map(
+                    (warning) =>
+                      t.differenceLabels[warning as keyof typeof t.differenceLabels] ?? warning,
+                  )
+                  .join(', ')}
+                .
+              </p>
+            )}
+            {missingComponents && (
+              <p className="mt-2 text-xs text-muted-foreground">{t.missingComponents}</p>
+            )}
+            {operation === 'isolated-sum' && (
+              <p className="mt-2 text-xs text-muted-foreground">{t.isolatedNote}</p>
+            )}
+            {yAxis === 'payload-rate' && (
+              <p className="mt-2 text-xs text-muted-foreground">{t.payloadNote}</p>
+            )}
+          </Card>
+        </TabsContent>
+        <TabsContent value="decisions" className="space-y-4">
+          {publication === 'dev-latest' ? (
+            <CollectiveXDecisionTables dataset={dataset} cohort={selectedControlledCohort} />
+          ) : (
+            <Card data-testid="collectivex-unpromoted-decisions">
+              <h2 className="text-lg font-semibold">{t.unpromotedEvidence}</h2>
+              <p className="mt-2 text-sm text-muted-foreground">{t.unpromotedNote}</p>
+            </Card>
+          )}
+        </TabsContent>
+        <TabsContent value="evidence" className="space-y-4">
+          <CollectiveXCoverageTable coverage={dataset.coverage} />
+          <CollectiveXAttemptTable attempts={dataset.attempts} coverage={dataset.coverage} />
+          <Card data-testid="collectivex-provenance">
+            <h2 className="text-lg font-semibold">{t.provenance}</h2>
+            <dl className="mt-3 grid gap-3 text-sm sm:grid-cols-2 lg:grid-cols-4">
+              <Provenance label={t.channelLabel} value={data.channel.channel} />
+              <Provenance label={t.datasetDigest} value={data.digest} mono />
+              <Provenance label={t.matrixDigest} value={dataset.promotion.matrix_id ?? '-'} mono />
+              <Provenance
+                label={t.sourceBundles}
+                value={dataset.source_bundle_ids.join(' · ') || '-'}
+                mono
+              />
+            </dl>
+          </Card>
+        </TabsContent>
+      </Tabs>
+    </section>
+  );
+}
+
+function Stat({
+  value,
+  label,
+  compact = false,
+}: {
+  value: React.ReactNode;
+  label: string;
+  compact?: boolean;
+}) {
+  return (
+    <div>
+      <p className={compact ? 'text-sm font-semibold' : 'text-2xl font-semibold'}>{value}</p>
+      <p className="text-xs text-muted-foreground">{label}</p>
+    </div>
+  );
+}
+
+function SelectControl<T extends string>({
+  label,
+  testId,
+  value,
+  options,
+  onChange,
+  placeholder,
+}: {
+  label: string;
+  testId: string;
+  value: T;
+  options: SelectOption<T>[];
+  onChange: (value: T) => void;
+  placeholder?: string;
+}) {
+  return (
+    <ControlGroup label={label}>
+      <Select value={value} onValueChange={(next) => onChange(next as T)}>
+        <SelectTrigger data-testid={testId} className="min-w-0 w-full">
+          <SelectValue placeholder={placeholder} />
+        </SelectTrigger>
+        <SelectContent>
+          {options.map((item) => (
+            <SelectItem key={item.value} value={item.value}>
+              {item.label}
+            </SelectItem>
+          ))}
+        </SelectContent>
+      </Select>
+    </ControlGroup>
+  );
+}
+
+function SearchableSelectControl({
+  label,
+  testId,
+  value,
+  groups,
+  onChange,
+  placeholder,
+  searchPlaceholder,
+  searchAriaLabel,
+  clearSearchLabel,
+  noResultsLabel,
+}: {
+  label: string;
+  testId: string;
+  value: string;
+  groups: SearchableSelectGroup[];
+  onChange: (value: string) => void;
+  placeholder: string;
+  searchPlaceholder: string;
+  searchAriaLabel: string;
+  clearSearchLabel: string;
+  noResultsLabel: string;
+}) {
+  return (
+    <ControlGroup label={label}>
+      <SearchableSelect
+        groups={groups}
+        value={value}
+        onValueChange={onChange}
+        placeholder={placeholder}
+        triggerTestId={testId}
+        searchPlaceholder={searchPlaceholder}
+        searchAriaLabel={searchAriaLabel}
+        clearSearchLabel={clearSearchLabel}
+        noResultsLabel={noResultsLabel}
+        trackPrefix="collectivex_cohort"
+      />
+    </ControlGroup>
+  );
+}
+
+function Provenance({
+  label,
+  value,
+  mono = false,
+}: {
+  label: string;
+  value: string;
+  mono?: boolean;
+}) {
+  return (
+    <div>
+      <dt className="text-xs text-muted-foreground">{label}</dt>
+      <dd className={`${mono ? 'font-mono text-xs' : 'font-medium'} mt-1 break-all`}>{value}</dd>
+    </div>
+  );
+}
diff --git a/packages/app/src/components/collectivex/CollectiveXTables.tsx b/packages/app/src/components/collectivex/CollectiveXTables.tsx
new file mode 100644
index 000000000..35d2bb239
--- /dev/null
+++ b/packages/app/src/components/collectivex/CollectiveXTables.tsx
@@ -0,0 +1,1162 @@
+'use client';
+
+import { useMemo } from 'react';
+
+import { Badge } from '@/components/ui/badge';
+import { Card } from '@/components/ui/card';
+import { type DataTableColumn, DataTable } from '@/components/ui/data-table';
+import { useLocale } from '@/lib/use-locale';
+
+import {
+  collectiveXSeriesLabel,
+  collectiveXTopologyLabel,
+  compareCollectiveXDecisionMetrics,
+} from './data';
+
+import type {
+  CollectiveXAttempt,
+  CollectiveXCohort,
+  CollectiveXCoverage,
+  CollectiveXDataset,
+  CollectiveXMetric,
+  CollectiveXOutcome,
+  CollectiveXPublicationTier,
+  CollectiveXRanking,
+  CollectiveXRecommendation,
+  CollectiveXSensitivity,
+  CollectiveXSeries,
+} from './types';
+
+const OUTCOME_CLASSES = {
+  success: 'border-emerald-600/40 bg-emerald-500/15 text-emerald-700 dark:text-emerald-300',
+  unsupported: 'border-zinc-500/40 bg-zinc-500/15 text-zinc-700 dark:text-zinc-300',
+  failed: 'border-red-700/50 bg-red-700/15 text-red-800 dark:text-red-300',
+  invalid: 'border-red-600/40 bg-red-500/15 text-red-700 dark:text-red-300',
+  diagnostic: 'border-amber-600/40 bg-amber-500/15 text-amber-700 dark:text-amber-300',
+} satisfies Record<CollectiveXOutcome, string>;
+
+const PUBLICATION_TIER_CLASSES = {
+  official: 'border-emerald-600/40 bg-emerald-500/10 text-emerald-700 dark:text-emerald-300',
+  'comparable-experimental':
+    'border-amber-600/40 bg-amber-500/10 text-amber-700 dark:text-amber-300',
+} satisfies Record<CollectiveXPublicationTier, string>;
+
+const STRINGS = {
+  en: {
+    outcome: {
+      success: 'success',
+      unsupported: 'unsupported',
+      failed: 'failed',
+      invalid: 'invalid',
+      diagnostic: 'diagnostic',
+    },
+    tier: { official: 'Official', experimental: 'Experimental' },
+    phase: { decode: 'decode', prefill: 'prefill' },
+    mode: { normal: 'Normal', 'low-latency': 'Low latency' },
+    scope: { 'scale-up': 'Scale-up', 'scale-out': 'Scale-out' },
+    disposition: { runnable: 'runnable', unsupported: 'unsupported' },
+    case: 'Case',
+    sku: 'SKU',
+    backend: 'Backend',
+    phaseHeader: 'Phase',
+    modeHeader: 'Mode',
+    epHeader: 'EP',
+    scopeHeader: 'Fabric scope',
+    topologyHeader: 'Topology',
+    dispositionHeader: 'Disposition',
+    outcomeHeader: 'Outcome',
+    attempts: 'Attempts',
+    selected: 'Selected',
+    caseId: 'Case ID',
+    attemptId: 'Attempt ID',
+    failureMode: 'Failure mode',
+    reason: 'Reason',
+    terminalCoverage: 'Terminal coverage',
+    allocation: 'Allocation',
+    run: 'Run',
+    attempt: 'Try',
+    role: 'Role',
+    terminalRole: 'terminal selection',
+    allocationRole: 'allocation selection',
+    retainedRole: 'retained',
+    evidence: 'Evidence',
+    retainedAttempts: 'Retained attempts',
+    comparison: 'Comparison',
+    metric: 'Metric',
+    rank: 'Rank',
+    tierHeader: 'Tier',
+    configuration: 'Configuration',
+    point: 'Point',
+    value: 'Value',
+    noControlledCohort: 'No controlled cohort is selected.',
+    rankings: 'Rankings',
+    allocations: 'allocations',
+    comparisonContract: 'Comparison contract',
+    controlledFactors: 'Held constant',
+    varyingFactors: 'Compared',
+    sampling: 'Sampling',
+    warmups: 'Warmups',
+    repeatStability: 'Repeat stability',
+    stableOrdering: 'Stable ordering',
+    passed: 'passed',
+    notPassed: 'not passed',
+    samplingValue: (trials: number, iterations: number, samples: number) =>
+      `${trials} trials × ${iterations} iterations = ${samples} samples per component`,
+    warmupValue: (warmups: number) =>
+      `${warmups} synchronized round-trip warmups before each measured component, trial, and point`,
+    objective: 'Objective',
+    recommendedConfiguration: 'Recommended configuration',
+    basis: 'Basis',
+    bestConfigurations: 'Best conforming configurations',
+    contrast: 'Contrast',
+    baseline: 'Baseline',
+    candidate: 'Candidate',
+    change: 'Change',
+    routingSensitivity: 'Routing sensitivity',
+    decision: {
+      cohortKind: {
+        library: 'Library contrast',
+        chip: 'Platform contrast',
+        system: 'System contrast',
+        routing: 'Routing contrast',
+      },
+      reference: 'Reference',
+      seriesUnit: 'series',
+      recommendationObjective: {
+        'min-p50-latency': 'lowest p50 latency',
+        'min-p99-latency': 'lowest p99 latency',
+        'max-payload-rate-at-p50-latency': 'highest payload rate at p50 latency',
+        'max-payload-rate-at-p99-latency': 'highest payload rate at p99 latency',
+      },
+      rationale: 'Top stable measured roundtrip result in a controlled cohort',
+      sensitivity: 'Routing sensitivity',
+    },
+  },
+  zh: {
+    outcome: {
+      success: '成功',
+      unsupported: '不支持',
+      failed: '失败',
+      invalid: '无效',
+      diagnostic: '诊断',
+    },
+    tier: { official: '正式', experimental: '实验性' },
+    phase: { decode: '解码', prefill: '预填充' },
+    mode: { normal: '常规', 'low-latency': '低延迟' },
+    scope: { 'scale-up': '域内（scale-up）', 'scale-out': '跨域（scale-out）' },
+    disposition: { runnable: '可运行', unsupported: '不支持' },
+    case: '用例',
+    sku: 'SKU',
+    backend: '后端',
+    phaseHeader: '阶段',
+    modeHeader: '模式',
+    epHeader: 'EP',
+    scopeHeader: '互联范围',
+    topologyHeader: '拓扑',
+    dispositionHeader: '计划状态',
+    outcomeHeader: '结果',
+    attempts: '尝试次数',
+    selected: '已选尝试',
+    caseId: '用例 ID',
+    attemptId: '尝试 ID',
+    failureMode: '失败类型',
+    reason: '原因',
+    terminalCoverage: '终结状态覆盖',
+    allocation: '独立分配',
+    run: '运行',
+    attempt: '尝试序号',
+    role: '用途',
+    terminalRole: '终结状态选择',
+    allocationRole: '独立分配选择',
+    retainedRole: '保留',
+    evidence: '证据数',
+    retainedAttempts: '保留的全部尝试',
+    comparison: '对比项',
+    metric: '指标',
+    rank: '排名',
+    tierHeader: '发布级别',
+    configuration: '配置',
+    point: '点位',
+    value: '数值',
+    noControlledCohort: '尚未选择受控队列。',
+    rankings: '排名',
+    allocations: '次独立分配',
+    comparisonContract: '对比协议',
+    controlledFactors: '保持一致',
+    varyingFactors: '对比变量',
+    sampling: '采样',
+    warmups: '预热',
+    repeatStability: '重复运行稳定性',
+    stableOrdering: '排名顺序稳定',
+    passed: '已通过',
+    notPassed: '未通过',
+    samplingValue: (trials: number, iterations: number, samples: number) =>
+      `${trials} 次试验 × ${iterations} 次迭代 = 每个分项 ${samples} 个样本`,
+    warmupValue: (warmups: number) =>
+      `每个测量分项、试验和点位前执行 ${warmups} 次同步完整往返预热`,
+    objective: '目标',
+    recommendedConfiguration: '推荐配置',
+    basis: '依据',
+    bestConfigurations: '符合条件的最佳配置',
+    contrast: '对比',
+    baseline: '基线',
+    candidate: '候选项',
+    change: '变化',
+    routingSensitivity: '路由敏感性',
+    decision: {
+      cohortKind: {
+        library: '通信库对比',
+        chip: '平台对比',
+        system: '参考系统对比',
+        routing: '路由对比',
+      },
+      reference: '参考实现',
+      seriesUnit: '个序列',
+      recommendationObjective: {
+        'min-p50-latency': 'p50 延迟最低',
+        'min-p99-latency': 'p99 延迟最低',
+        'max-payload-rate-at-p50-latency': 'p50 延迟分位点的逻辑载荷速率最高',
+        'max-payload-rate-at-p99-latency': 'p99 延迟分位点的逻辑载荷速率最高',
+      },
+      rationale: '受控队列中排名第一的稳定实测往返结果',
+      sensitivity: '路由敏感性',
+    },
+  },
+} as const;
+
+type TableStrings = (typeof STRINGS)[keyof typeof STRINGS];
+
+const FACTOR_LABELS = {
+  en: {
+    backend: 'Backend implementation',
+    source: 'Source revision',
+    workload: 'Workload',
+    mode: 'Mode',
+    phase: 'Phase',
+    measurement: 'Measurement contract',
+    system: 'Realized system and topology',
+    resource: 'Resource profile',
+    'resource.mode': 'Resource tuning policy',
+    'implementation-static-build': 'Static implementation build',
+    'model-shape': 'Model shape',
+    'workload.routing': 'Routing distribution',
+    'workload.eplb': 'EPLB treatment',
+    'implementation-config': 'Generated implementation config',
+  },
+  zh: {
+    backend: '后端实现',
+    source: '源代码版本',
+    workload: '工作负载',
+    mode: '模式',
+    phase: '阶段',
+    measurement: '测量协议',
+    system: '实际系统与拓扑',
+    resource: '资源配置',
+    'resource.mode': '资源调优策略',
+    'implementation-static-build': '静态实现构建',
+    'model-shape': '模型形状',
+    'workload.routing': '路由分布',
+    'workload.eplb': 'EPLB 处理',
+    'implementation-config': '生成的实现配置',
+  },
+} as const;
+
+const REASON_LABELS = {
+  zh: {
+    'artifact-validation-failed': '产物校验失败',
+    'backend-platform-unsupported': '后端不支持该平台',
+    'backend-token-capacity': '后端 token 容量不足',
+    'launcher-setup-failed': '启动器初始化失败',
+    'repository-staging-failed': '代码仓库暂存失败',
+    'container-registry-verification-failed': '容器镜像仓库校验失败',
+    'scheduler-allocation-failed': '调度资源分配失败',
+    'container-image-preparation-failed': '容器镜像准备失败',
+    'container-image-identity-failed': '容器镜像身份校验失败',
+    'container-runtime-launch-failed': '容器运行时启动失败',
+    'backend-setup-failed': '后端初始化失败',
+    'artifact-collection-failed': '产物收集失败',
+    'runtime-identity-mismatch': '运行时身份不匹配',
+    'execution-timeout': '执行超时',
+    'execution-deadlock': '执行死锁',
+    'distributed-command-failed': '分布式命令执行失败',
+    'post-emit-distributed-command-failed': '结果写出后的分布式命令失败',
+    'unsupported-capability': '能力不支持',
+    'execution-failed': '执行失败',
+    'validation-failed': '校验失败',
+    'diagnostic-evidence': '诊断证据',
+    capability: '能力限制',
+    setup: '初始化',
+    'repository-stage': '代码仓库暂存',
+    'registry-verification': '镜像仓库校验',
+    'scheduler-allocation': '调度资源分配',
+    'container-import': '容器镜像导入',
+    'container-hash': '容器镜像哈希校验',
+    'container-launch': '容器启动',
+    'backend-setup': '后端初始化',
+    'artifact-collection': '产物收集',
+    'runtime-identity': '运行时身份',
+    timeout: '超时',
+    deadlock: '死锁',
+    execution: '执行',
+    'insufficient-allocations': '独立分配不足',
+    'incomplete-repeat-coverage': '重复运行覆盖不完整',
+    'correctness-failed': '正确性校验失败',
+    'missing-measured-roundtrip-p99': '缺少实测往返 p99',
+    'unstable-p50': 'p50 不稳定',
+    'unstable-p99': 'p99 不稳定',
+    'unstable-ordering': '排名顺序不稳定',
+    'incomplete-provenance': '来源与运行溯源不完整',
+    'noncanonical-workload': '工作负载不符合规范',
+    'unresolved-anomaly': '异常尚未解释',
+    'semantic-correctness-failed': '语义正确性校验失败',
+    'measurement-nonconformant': '测量协议不符合要求',
+    'expert-oracle-incomplete': '专家路由正确性校验不完整',
+    'incomplete-aligned-repeats': '对齐的重复运行不完整',
+    'missing-uniform-baseline': '缺少 uniform 基线',
+    'incomplete-routing-anchors': '路由基准锚点不完整',
+    'implementation-config-mismatch': '实现配置不一致',
+    'unmatched-token-coverage': 'token 点位覆盖不一致',
+    'awaiting-repeat-allocations': '等待重复独立分配',
+    'awaiting-v1-runs': '等待 CollectiveX v1 运行结果',
+  },
+} as const;
+
+function factorLabel(value: string, locale: 'en' | 'zh'): string {
+  return FACTOR_LABELS[locale][value as keyof (typeof FACTOR_LABELS)[typeof locale]] ?? value;
+}
+
+export function collectiveXReasonLabel(value: string, locale: 'en' | 'zh'): string {
+  if (locale === 'en') return value;
+  return REASON_LABELS.zh[value as keyof typeof REASON_LABELS.zh] ?? value;
+}
+
+function cohortDescription(cohort: CollectiveXCohort, locale: 'en' | 'zh'): string {
+  if (locale === 'en') return cohort.description;
+  return {
+    library: '在相同实际系统、工作负载与测量协议下对比通信库及其调优资源配置。',
+    chip: '在相同后端谱系、工作负载与测量协议下对比完整平台系统。',
+    system: '使用可移植 NCCL/RCCL 参考实现，在相同工作负载与测量协议下对比系统。',
+    routing: '在相同实现、系统与资源配置下，对比路由分布及 EPLB 处理。',
+  }[cohort.kind];
+}
+
+function repeatRatio(value: number | null, limit: number, locale: 'en' | 'zh'): string {
+  const suffix = locale === 'zh' ? ' 倍' : 'x';
+  return `${value?.toFixed(3) ?? 'n/a'}${suffix} ≤ ${limit.toFixed(2)}${suffix}`;
+}
+
+function attemptRoleLabel(
+  attempt: CollectiveXAttempt,
+  terminalAttemptIds: Set<string>,
+  t: TableStrings,
+): string {
+  const roles = [
+    ...(terminalAttemptIds.has(attempt.attempt_id) ? [t.terminalRole] : []),
+    ...(attempt.selected ? [t.allocationRole] : []),
+  ];
+  return roles.length > 0 ? roles.join(' · ') : t.retainedRole;
+}
+
+function OutcomeBadge({ outcome }: { outcome: CollectiveXOutcome }) {
+  const t = STRINGS[useLocale()];
+  return (
+    <Badge variant="outline" className={OUTCOME_CLASSES[outcome]}>
+      {t.outcome[outcome]}
+    </Badge>
+  );
+}
+
+function PublicationTierBadge({ tier }: { tier: CollectiveXPublicationTier }) {
+  const t = STRINGS[useLocale()];
+  return (
+    <Badge
+      data-testid="collectivex-publication-tier"
+      variant="outline"
+      className={PUBLICATION_TIER_CLASSES[tier]}
+    >
+      {tier === 'official' ? t.tier.official : t.tier.experimental}
+    </Badge>
+  );
+}
+
+function shortId(value: string | null): string {
+  if (value === null) return '-';
+  const suffix = value.lastIndexOf('-');
+  return suffix === -1 ? value : value.slice(suffix + 1).slice(-8);
+}
+
+function distinctSeriesValue(
+  series: CollectiveXSeries[],
+  getValue: (item: CollectiveXSeries) => string,
+): string {
+  return [...new Set(series.map(getValue))].join(' ↔ ') || '-';
+}
+
+function seriesContextColumns<T>(
+  getSeries: (row: T) => CollectiveXSeries[],
+  t: TableStrings,
+): DataTableColumn<T>[] {
+  const value = (row: T, getValue: (item: CollectiveXSeries) => string) =>
+    distinctSeriesValue(getSeries(row), getValue);
+  return [
+    {
+      header: t.modeHeader,
+      cell: (row) => value(row, (item) => t.mode[item.mode]),
+      sortValue: (row) => value(row, (item) => t.mode[item.mode]),
+      className: 'whitespace-nowrap',
+    },
+    {
+      header: t.epHeader,
+      cell: (row) => value(row, (item) => `EP${item.system.ep_size}`),
+      sortValue: (row) => value(row, (item) => `EP${item.system.ep_size}`),
+      className: 'whitespace-nowrap',
+    },
+    {
+      header: t.scopeHeader,
+      cell: (row) => value(row, (item) => t.scope[item.system.scope]),
+      sortValue: (row) => value(row, (item) => t.scope[item.system.scope]),
+      className: 'whitespace-nowrap',
+    },
+    {
+      header: t.topologyHeader,
+      cell: (row) => value(row, (item) => collectiveXTopologyLabel(item.system)),
+      sortValue: (row) => value(row, (item) => collectiveXTopologyLabel(item.system)),
+      className: 'whitespace-nowrap',
+    },
+  ];
+}
+
+function decisionMetricName(metric: CollectiveXMetric, locale: 'en' | 'zh'): string {
+  if (locale === 'zh') {
+    return metric.measure === 'latency_us'
+      ? `${metric.statistic} 延迟`
+      : `${metric.statistic} 延迟分位点对应的逻辑载荷速率`;
+  }
+  return metric.measure === 'latency_us'
+    ? `${metric.statistic} latency`
+    : `logical payload rate at ${metric.statistic} latency`;
+}
+
+function metricLabel(ranking: CollectiveXRanking, locale: 'en' | 'zh'): string {
+  const { metric } = ranking;
+  if (locale === 'zh') {
+    return `${STRINGS.zh.phase[metric.phase]} T=${metric.tokens_per_rank} 往返 ${decisionMetricName(metric, locale)}`;
+  }
+  const measure =
+    metric.measure === 'latency_us'
+      ? `${metric.statistic} latency`
+      : `logical payload rate at ${metric.statistic} latency`;
+  return `${metric.phase} T=${metric.tokens_per_rank} ${metric.operation} ${measure}`;
+}
+
+export function collectiveXCohortLabel(
+  cohort: CollectiveXCohort,
+  seriesById: Map<string, CollectiveXSeries>,
+  locale: 'en' | 'zh',
+): string {
+  if (locale === 'en') return cohort.label;
+  const first = seriesById.get(cohort.series_ids[0]);
+  if (!first) return cohort.label;
+  const members = cohort.series_ids.flatMap((seriesId) => {
+    const series = seriesById.get(seriesId);
+    return series ? [series] : [];
+  });
+  const phase = STRINGS.zh.phase[first.phase];
+  const mode = STRINGS.zh.mode[first.mode];
+  const scope = [...new Set(members.map((item) => item.system.scope))]
+    .map((item) => STRINGS.zh.scope[item])
+    .join(' ↔ ');
+  const routing = `${first.workload.routing}${first.workload.eplb ? '+EPLB' : ''}`;
+  const ep = `EP${first.system.ep_size}`;
+  const context = {
+    library: `${first.system.sku.toUpperCase()} ${ep} / ${mode} / ${scope} / ${phase} / ${routing}`,
+    chip: `${first.backend.label} ${ep} / ${mode} / ${scope} / ${phase} / ${routing}`,
+    system: `${STRINGS.zh.decision.reference} ${ep} / ${mode} / ${scope} / ${phase} / ${routing}`,
+    routing: `${first.system.sku.toUpperCase()} / ${first.backend.label} / ${ep} / ${mode} / ${scope} / ${phase}`,
+  }[cohort.kind];
+  return `${context} / ${STRINGS.zh.decision.cohortKind[cohort.kind]}（${cohort.series_ids.length} ${STRINGS.zh.decision.seriesUnit}）`;
+}
+
+function rankingLabel(
+  ranking: CollectiveXRanking,
+  cohort: CollectiveXCohort,
+  locale: 'en' | 'zh',
+): string {
+  if (locale === 'en') return ranking.label;
+  return `${STRINGS.zh.decision.cohortKind[cohort.kind]} ${decisionMetricName(ranking.metric, locale)} T=${ranking.metric.tokens_per_rank}`;
+}
+
+function recommendationLabel(
+  recommendation: CollectiveXRecommendation,
+  seriesById: Map<string, CollectiveXSeries>,
+  locale: 'en' | 'zh',
+): string {
+  if (locale === 'en') return recommendation.label;
+  const point = seriesById
+    .get(recommendation.series_id)
+    ?.points.find((item) => item.point_id === recommendation.point_id);
+  const objective = STRINGS.zh.decision.recommendationObjective[recommendation.objective];
+  return point ? `T=${point.tokens_per_rank} 时 ${objective}` : objective;
+}
+
+function recommendationRationale(
+  recommendation: CollectiveXRecommendation,
+  locale: 'en' | 'zh',
+): string {
+  if (locale === 'zh' && recommendation.rationale === STRINGS.en.decision.rationale) {
+    return STRINGS.zh.decision.rationale;
+  }
+  return recommendation.rationale;
+}
+
+function sensitivityLabel(sensitivity: CollectiveXSensitivity, locale: 'en' | 'zh'): string {
+  if (locale === 'en') return sensitivity.label;
+  return `${STRINGS.zh.decision.sensitivity}：${decisionMetricName(sensitivity.metric, locale)} T=${sensitivity.metric.tokens_per_rank}`;
+}
+
+function recommendationMetric(
+  recommendation: CollectiveXRecommendation,
+  seriesById: Map<string, CollectiveXSeries>,
+): CollectiveXMetric | null {
+  const series = seriesById.get(recommendation.series_id);
+  const point = series?.points.find((item) => item.point_id === recommendation.point_id);
+  if (!series || !point) return null;
+  const [measure, statistic] = {
+    'min-p50-latency': ['latency_us', 'p50'],
+    'min-p99-latency': ['latency_us', 'p99'],
+    'max-payload-rate-at-p50-latency': ['logical_payload_rate_gbps_at_latency_percentile', 'p50'],
+    'max-payload-rate-at-p99-latency': ['logical_payload_rate_gbps_at_latency_percentile', 'p99'],
+  }[recommendation.objective] as [CollectiveXMetric['measure'], CollectiveXMetric['statistic']];
+  return {
+    operation: 'roundtrip',
+    statistic,
+    measure,
+    objective: measure === 'latency_us' ? 'min' : 'max',
+    tokens_per_rank: point.tokens_per_rank,
+    phase: series.phase,
+  };
+}
+
+export function CollectiveXCoverageTable({ coverage }: { coverage: CollectiveXCoverage[] }) {
+  const locale = useLocale();
+  const t = STRINGS[locale];
+  const columns = useMemo<DataTableColumn<CollectiveXCoverage>[]>(
+    () => [
+      {
+        header: t.case,
+        cell: (row) => (
+          <div title={`${t.caseId}: ${row.case_id}`}>
+            <p className="font-medium whitespace-nowrap">{row.label}</p>
+            <p className="font-mono text-[11px] text-muted-foreground">{shortId(row.case_id)}</p>
+          </div>
+        ),
+        sortValue: (row) => row.label,
+      },
+      {
+        header: t.sku,
+        cell: (row) => row.sku.toUpperCase(),
+        sortValue: (row) => row.sku,
+      },
+      {
+        header: t.backend,
+        cell: (row) => row.backend,
+        sortValue: (row) => row.backend,
+      },
+      {
+        header: t.phaseHeader,
+        cell: (row) => t.phase[row.phase],
+        sortValue: (row) => t.phase[row.phase],
+      },
+      {
+        header: t.modeHeader,
+        cell: (row) => t.mode[row.mode],
+        sortValue: (row) => t.mode[row.mode],
+      },
+      {
+        header: t.epHeader,
+        cell: (row) => `EP${row.topology.ep_size}`,
+        sortValue: (row) => row.topology.ep_size,
+      },
+      {
+        header: t.scopeHeader,
+        cell: (row) => t.scope[row.topology.scope],
+        sortValue: (row) => t.scope[row.topology.scope],
+        className: 'whitespace-nowrap',
+      },
+      {
+        header: t.topologyHeader,
+        cell: (row) => collectiveXTopologyLabel(row.topology),
+        sortValue: (row) => collectiveXTopologyLabel(row.topology),
+        className: 'whitespace-nowrap',
+      },
+      {
+        header: t.dispositionHeader,
+        cell: (row) => t.disposition[row.disposition],
+        sortValue: (row) => t.disposition[row.disposition],
+      },
+      {
+        header: t.outcomeHeader,
+        cell: (row) => <OutcomeBadge outcome={row.outcome} />,
+        sortValue: (row) => t.outcome[row.outcome],
+      },
+      {
+        header: t.attempts,
+        align: 'right',
+        cell: (row) => row.attempt_ids.length,
+        sortValue: (row) => row.attempt_ids.length,
+        className: 'tabular-nums',
+      },
+      {
+        header: t.selected,
+        cell: (row) => (
+          <span title={row.selected_attempt_id ?? undefined} className="font-mono text-xs">
+            {shortId(row.selected_attempt_id)}
+          </span>
+        ),
+        sortValue: (row) => row.selected_attempt_id ?? '',
+      },
+      {
+        header: t.failureMode,
+        cell: (row) => (row.failure_mode ? collectiveXReasonLabel(row.failure_mode, locale) : '-'),
+        sortValue: (row) =>
+          row.failure_mode
+            ? `${collectiveXReasonLabel(row.failure_mode, locale)} ${row.failure_mode}`
+            : '',
+      },
+      {
+        header: t.reason,
+        cell: (row) => (row.reason ? collectiveXReasonLabel(row.reason, locale) : '-'),
+        sortValue: (row) =>
+          row.reason ? `${collectiveXReasonLabel(row.reason, locale)} ${row.reason}` : '',
+      },
+    ],
+    [locale, t],
+  );
+
+  return (
+    <Card data-testid="collectivex-coverage">
+      <h2 className="text-lg font-semibold">{t.terminalCoverage}</h2>
+      <DataTable
+        data={coverage}
+        columns={columns}
+        testId="collectivex-coverage-table"
+        analyticsPrefix="collectivex_coverage_table"
+      />
+    </Card>
+  );
+}
+
+export function CollectiveXAttemptTable({
+  attempts,
+  coverage,
+}: {
+  attempts: CollectiveXAttempt[];
+  coverage: CollectiveXCoverage[];
+}) {
+  const locale = useLocale();
+  const t = STRINGS[locale];
+  const coverageByCase = useMemo(
+    () => new Map(coverage.map((item) => [item.case_id, item])),
+    [coverage],
+  );
+  const terminalAttemptIds = useMemo(
+    () =>
+      new Set(
+        coverage.flatMap((item) =>
+          item.selected_attempt_id === null ? [] : [item.selected_attempt_id],
+        ),
+      ),
+    [coverage],
+  );
+  const columns = useMemo<DataTableColumn<CollectiveXAttempt>[]>(
+    () => [
+      {
+        header: t.case,
+        cell: (row) => (
+          <div title={`${t.caseId}: ${row.case_id}`}>
+            <p className="font-medium whitespace-nowrap">
+              {coverageByCase.get(row.case_id)?.label ?? shortId(row.case_id)}
+            </p>
+            <p className="font-mono text-[11px] text-muted-foreground">{shortId(row.case_id)}</p>
+          </div>
+        ),
+        sortValue: (row) => `${coverageByCase.get(row.case_id)?.label ?? ''} ${row.case_id}`,
+      },
+      {
+        header: t.attemptId,
+        cell: (row) => (
+          <span title={row.attempt_id} className="font-mono text-xs">
+            {shortId(row.attempt_id)}
+          </span>
+        ),
+        sortValue: (row) => row.attempt_id,
+      },
+      {
+        header: t.allocation,
+        cell: (row) => (
+          <span title={row.allocation_id} className="font-mono text-xs">
+            {shortId(row.allocation_id)}
+          </span>
+        ),
+        sortValue: (row) => row.allocation_id,
+      },
+      {
+        header: t.run,
+        cell: (row) => `${row.run_id}.${row.run_attempt}`,
+        sortValue: (row) =>
+          `${row.run_id.padStart(20, '0')}.${String(row.run_attempt).padStart(10, '0')}`,
+        className: 'font-mono text-xs',
+      },
+      {
+        header: t.attempt,
+        align: 'right',
+        cell: (row) => row.attempt_index,
+        sortValue: (row) => row.attempt_index,
+        className: 'tabular-nums',
+      },
+      {
+        header: t.outcomeHeader,
+        cell: (row) => <OutcomeBadge outcome={row.outcome} />,
+        sortValue: (row) => t.outcome[row.outcome],
+      },
+      {
+        header: t.role,
+        cell: (row) => attemptRoleLabel(row, terminalAttemptIds, t),
+        sortValue: (row) => attemptRoleLabel(row, terminalAttemptIds, t),
+      },
+      {
+        header: t.evidence,
+        align: 'right',
+        cell: (row) => (
+          <details className="font-mono text-xs">
+            <summary
+              aria-label={`${t.evidence}: ${row.evidence.length}`}
+              title={row.evidence
+                .map((item) => `${item.evidence_id} -> ${item.point_id}`)
+                .join('\n')}
+              className="cursor-pointer list-none whitespace-nowrap [&::-webkit-details-marker]:hidden"
+            >
+              {row.evidence.length}
+              {row.evidence.length > 0 &&
+                ` · ${row.evidence.map((item) => shortId(item.evidence_id)).join(' · ')}`}
+            </summary>
+            {row.evidence.length > 0 && (
+              <div className="mt-2 max-w-[36rem] space-y-1 text-left text-[10px] leading-4 break-all">
+                {row.evidence.map((item) => (
+                  <p key={`${item.evidence_id}:${item.point_id}`}>
+                    <span data-testid="collectivex-evidence-id">{item.evidence_id}</span>
+                    <span aria-hidden="true"> -&gt; </span>
+                    <span>{item.point_id}</span>
+                  </p>
+                ))}
+              </div>
+            )}
+          </details>
+        ),
+        sortValue: (row) =>
+          [
+            String(row.evidence.length).padStart(8, '0'),
+            ...row.evidence.flatMap((item) => [item.evidence_id, item.point_id]),
+          ].join(' '),
+        className: 'tabular-nums',
+      },
+      {
+        header: t.failureMode,
+        cell: (row) => (row.failure_mode ? collectiveXReasonLabel(row.failure_mode, locale) : '-'),
+        sortValue: (row) =>
+          row.failure_mode
+            ? `${collectiveXReasonLabel(row.failure_mode, locale)} ${row.failure_mode}`
+            : '',
+      },
+      {
+        header: t.reason,
+        cell: (row) => (row.reason ? collectiveXReasonLabel(row.reason, locale) : '-'),
+        sortValue: (row) =>
+          row.reason ? `${collectiveXReasonLabel(row.reason, locale)} ${row.reason}` : '',
+      },
+    ],
+    [coverageByCase, locale, t, terminalAttemptIds],
+  );
+
+  return (
+    <Card data-testid="collectivex-attempts">
+      <h2 className="text-lg font-semibold">{t.retainedAttempts}</h2>
+      <DataTable
+        data={attempts}
+        columns={columns}
+        testId="collectivex-attempts-table"
+        analyticsPrefix="collectivex_attempts_table"
+      />
+    </Card>
+  );
+}
+
+interface RankingRow {
+  ranking: CollectiveXRanking;
+  rank: number;
+  series: CollectiveXSeries;
+  value: number;
+  unit: string;
+  pointId: string;
+}
+
+export function CollectiveXDecisionTables({
+  dataset,
+  cohort,
+}: {
+  dataset: CollectiveXDataset;
+  cohort: CollectiveXCohort | null;
+}) {
+  const locale = useLocale();
+  const t = STRINGS[locale];
+  const seriesById = useMemo(
+    () => new Map(dataset.series.map((item) => [item.series_id, item])),
+    [dataset.series],
+  );
+  const rankings = cohort
+    ? dataset.rankings
+        .filter((item) => item.cohort_id === cohort.cohort_id)
+        .toSorted(
+          (left, right) =>
+            compareCollectiveXDecisionMetrics(left.metric, right.metric) ||
+            left.ranking_id.localeCompare(right.ranking_id),
+        )
+    : [];
+  const recommendations = cohort
+    ? dataset.recommendations
+        .filter((item) => item.cohort_id === cohort.cohort_id)
+        .toSorted((left, right) => {
+          const leftMetric = recommendationMetric(left, seriesById);
+          const rightMetric = recommendationMetric(right, seriesById);
+          return (
+            (leftMetric && rightMetric
+              ? compareCollectiveXDecisionMetrics(leftMetric, rightMetric)
+              : 0) || left.recommendation_id.localeCompare(right.recommendation_id)
+          );
+        })
+    : [];
+  const sensitivities = cohort
+    ? dataset.sensitivities
+        .filter((item) => item.cohort_id === cohort.cohort_id)
+        .toSorted(
+          (left, right) =>
+            compareCollectiveXDecisionMetrics(left.metric, right.metric) ||
+            left.candidate_series_id.localeCompare(right.candidate_series_id) ||
+            left.sensitivity_id.localeCompare(right.sensitivity_id),
+        )
+    : [];
+  const rankingRows = rankings.flatMap((ranking) =>
+    ranking.entries
+      .toSorted((left, right) => left.rank - right.rank)
+      .flatMap((entry) => {
+        const series = seriesById.get(entry.series_id);
+        return series
+          ? [
+              {
+                ranking,
+                rank: entry.rank,
+                series,
+                value: entry.value,
+                unit: entry.unit,
+                pointId: entry.point_id,
+              },
+            ]
+          : [];
+      }),
+  );
+  const cohortDisplayLabel = cohort ? collectiveXCohortLabel(cohort, seriesById, locale) : '';
+  const cohortMembers = cohort
+    ? cohort.series_ids.flatMap((seriesId) => {
+        const series = seriesById.get(seriesId);
+        return series ? [series] : [];
+      })
+    : [];
+  const sampling = cohortMembers[0]?.measurement;
+  const rankingColumns = useMemo<DataTableColumn<RankingRow>[]>(
+    () => [
+      {
+        header: t.comparison,
+        cell: (row) => (cohort ? rankingLabel(row.ranking, cohort, locale) : row.ranking.label),
+        sortValue: (row) =>
+          cohort ? rankingLabel(row.ranking, cohort, locale) : row.ranking.label,
+      },
+      {
+        header: t.metric,
+        cell: (row) => metricLabel(row.ranking, locale),
+        sortValue: (row) => metricLabel(row.ranking, locale),
+      },
+      {
+        header: t.rank,
+        align: 'right',
+        cell: (row) => row.rank,
+        sortValue: (row) => row.rank,
+        className: 'tabular-nums',
+      },
+      {
+        header: t.tierHeader,
+        cell: (row) => <PublicationTierBadge tier={row.ranking.publication_tier} />,
+        sortValue: (row) =>
+          row.ranking.publication_tier === 'official' ? t.tier.official : t.tier.experimental,
+      },
+      {
+        header: t.configuration,
+        cell: (row) => collectiveXSeriesLabel(row.series),
+        sortValue: (row) => collectiveXSeriesLabel(row.series),
+        className: 'font-medium whitespace-nowrap',
+      },
+      {
+        header: t.point,
+        cell: (row) => (
+          <span title={row.pointId} className="font-mono text-xs">
+            {shortId(row.pointId)}
+          </span>
+        ),
+        sortValue: (row) => row.pointId,
+      },
+      ...seriesContextColumns((row: RankingRow) => [row.series], t),
+      {
+        header: t.value,
+        align: 'right',
+        cell: (row) =>
+          `${row.value.toLocaleString(locale === 'zh' ? 'zh-CN' : 'en-US', { maximumFractionDigits: 2 })} ${row.unit}`,
+        sortValue: (row) => row.value,
+        className: 'tabular-nums whitespace-nowrap',
+      },
+    ],
+    [cohort, locale, t],
+  );
+
+  if (!cohort) {
+    return (
+      <Card data-testid="collectivex-no-decisions">
+        <p className="text-sm text-muted-foreground">{t.noControlledCohort}</p>
+      </Card>
+    );
+  }
+
+  return (
+    <>
+      <Card data-testid="collectivex-rankings">
+        <div className="flex flex-wrap items-start justify-between gap-2">
+          <div>
+            <h2 className="text-lg font-semibold">{t.rankings}</h2>
+            <p className="mt-1 text-sm text-muted-foreground">{cohortDisplayLabel}</p>
+            <p className="mt-1 text-sm text-muted-foreground">
+              {cohortDescription(cohort, locale)}
+            </p>
+          </div>
+          <div className="flex items-center gap-2">
+            <PublicationTierBadge tier={cohort.publication_tier} />
+            <Badge variant="outline">
+              {cohort.eligibility.allocation_ids.length} {t.allocations}
+            </Badge>
+          </div>
+        </div>
+        <div data-testid="collectivex-comparison-contract" className="mt-4 border-y py-3 text-sm">
+          <h3 className="font-medium">{t.comparisonContract}</h3>
+          <dl className="mt-2 grid gap-x-6 gap-y-3 md:grid-cols-2 xl:grid-cols-4">
+            <div>
+              <dt className="text-xs text-muted-foreground">{t.controlledFactors}</dt>
+              <dd className="mt-1">
+                {cohort.controlled_factors.map((item) => factorLabel(item, locale)).join(' · ')}
+              </dd>
+            </div>
+            <div>
+              <dt className="text-xs text-muted-foreground">{t.varyingFactors}</dt>
+              <dd className="mt-1">
+                {cohort.varying_factors.map((item) => factorLabel(item, locale)).join(' · ')}
+              </dd>
+            </div>
+            {sampling && (
+              <div>
+                <dt className="text-xs text-muted-foreground">{t.sampling}</dt>
+                <dd className="mt-1">
+                  {t.samplingValue(sampling.trials, sampling.iters, sampling.samples_per_component)}
+                </dd>
+                <dt className="mt-2 text-xs text-muted-foreground">{t.warmups}</dt>
+                <dd className="mt-1">{t.warmupValue(sampling.warmups)}</dd>
+              </div>
+            )}
+            <div>
+              <dt className="text-xs text-muted-foreground">{t.repeatStability}</dt>
+              <dd className="mt-1 tabular-nums">
+                p50 {repeatRatio(cohort.eligibility.p50_max_min_ratio, 1.1, locale)} · p99{' '}
+                {repeatRatio(cohort.eligibility.p99_max_min_ratio, 1.25, locale)}
+              </dd>
+              <dt className="mt-2 text-xs text-muted-foreground">{t.stableOrdering}</dt>
+              <dd className="mt-1">
+                {cohort.eligibility.stable_ordering
+                  ? t.passed
+                  : cohort.eligibility.reasons
+                      .map((reason) => collectiveXReasonLabel(reason, locale))
+                      .join(', ') || t.notPassed}
+              </dd>
+            </div>
+          </dl>
+        </div>
+        <DataTable
+          data={rankingRows}
+          columns={rankingColumns}
+          testId="collectivex-rankings-table"
+          analyticsPrefix="collectivex_rankings_table"
+        />
+      </Card>
+      {recommendations.length > 0 && (
+        <RecommendationTable recommendations={recommendations} seriesById={seriesById} />
+      )}
+      {sensitivities.length > 0 && (
+        <SensitivityTable sensitivities={sensitivities} seriesById={seriesById} />
+      )}
+    </>
+  );
+}
+
+function RecommendationTable({
+  recommendations,
+  seriesById,
+}: {
+  recommendations: CollectiveXRecommendation[];
+  seriesById: Map<string, CollectiveXSeries>;
+}) {
+  const locale = useLocale();
+  const t = STRINGS[locale];
+  const columns = useMemo<DataTableColumn<CollectiveXRecommendation>[]>(
+    () => [
+      {
+        header: t.objective,
+        cell: (row) => recommendationLabel(row, seriesById, locale),
+        sortValue: (row) => recommendationLabel(row, seriesById, locale),
+      },
+      {
+        header: t.recommendedConfiguration,
+        cell: (row) => {
+          const series = seriesById.get(row.series_id);
+          return series ? collectiveXSeriesLabel(series) : '-';
+        },
+        sortValue: (row) => {
+          const series = seriesById.get(row.series_id);
+          return series ? collectiveXSeriesLabel(series) : '';
+        },
+        className: 'font-medium whitespace-nowrap',
+      },
+      {
+        header: t.point,
+        cell: (row) => (
+          <span title={row.point_id} className="font-mono text-xs">
+            {shortId(row.point_id)}
+          </span>
+        ),
+        sortValue: (row) => row.point_id,
+      },
+      ...seriesContextColumns((row: CollectiveXRecommendation) => {
+        const series = seriesById.get(row.series_id);
+        return series ? [series] : [];
+      }, t),
+      {
+        header: t.tierHeader,
+        cell: (row) => <PublicationTierBadge tier={row.publication_tier} />,
+        sortValue: (row) =>
+          row.publication_tier === 'official' ? t.tier.official : t.tier.experimental,
+      },
+      {
+        header: t.value,
+        align: 'right',
+        cell: (row) =>
+          `${row.value.toLocaleString(locale === 'zh' ? 'zh-CN' : 'en-US', { maximumFractionDigits: 2 })} ${row.unit}`,
+        sortValue: (row) => row.value,
+        className: 'tabular-nums whitespace-nowrap',
+      },
+      {
+        header: t.basis,
+        cell: (row) => recommendationRationale(row, locale),
+        sortValue: (row) => recommendationRationale(row, locale),
+      },
+    ],
+    [locale, seriesById, t],
+  );
+  return (
+    <Card data-testid="collectivex-recommendations">
+      <h2 className="text-lg font-semibold">{t.bestConfigurations}</h2>
+      <DataTable
+        data={recommendations}
+        columns={columns}
+        testId="collectivex-recommendations-table"
+        analyticsPrefix="collectivex_recommendations_table"
+      />
+    </Card>
+  );
+}
+
+function SensitivityTable({
+  sensitivities,
+  seriesById,
+}: {
+  sensitivities: CollectiveXSensitivity[];
+  seriesById: Map<string, CollectiveXSeries>;
+}) {
+  const locale = useLocale();
+  const t = STRINGS[locale];
+  const columns = useMemo<DataTableColumn<CollectiveXSensitivity>[]>(
+    () => [
+      {
+        header: t.contrast,
+        cell: (row) => sensitivityLabel(row, locale),
+        sortValue: (row) => sensitivityLabel(row, locale),
+      },
+      {
+        header: t.baseline,
+        cell: (row) => {
+          const series = seriesById.get(row.baseline_series_id);
+          return series ? collectiveXSeriesLabel(series) : '-';
+        },
+        sortValue: (row) => {
+          const series = seriesById.get(row.baseline_series_id);
+          return series ? collectiveXSeriesLabel(series) : '';
+        },
+      },
+      {
+        header: t.candidate,
+        cell: (row) => {
+          const series = seriesById.get(row.candidate_series_id);
+          return series ? collectiveXSeriesLabel(series) : '-';
+        },
+        sortValue: (row) => {
+          const series = seriesById.get(row.candidate_series_id);
+          return series ? collectiveXSeriesLabel(series) : '';
+        },
+      },
+      ...seriesContextColumns(
+        (row: CollectiveXSensitivity) =>
+          [seriesById.get(row.baseline_series_id), seriesById.get(row.candidate_series_id)].filter(
+            (item): item is CollectiveXSeries => item !== undefined,
+          ),
+        t,
+      ),
+      {
+        header: t.tierHeader,
+        cell: (row) => <PublicationTierBadge tier={row.publication_tier} />,
+        sortValue: (row) =>
+          row.publication_tier === 'official' ? t.tier.official : t.tier.experimental,
+      },
+      {
+        header: t.change,
+        align: 'right',
+        cell: (row) => `${(row.signed_change_ratio * 100).toFixed(1)}%`,
+        sortValue: (row) => row.signed_change_ratio,
+        className: 'tabular-nums',
+      },
+    ],
+    [locale, seriesById, t],
+  );
+  return (
+    <Card data-testid="collectivex-sensitivity">
+      <h2 className="text-lg font-semibold">{t.routingSensitivity}</h2>
+      <DataTable
+        data={sensitivities}
+        columns={columns}
+        testId="collectivex-sensitivity-table"
+        analyticsPrefix="collectivex_sensitivity_table"
+      />
+    </Card>
+  );
+}
diff --git a/packages/app/src/components/collectivex/axis.test.ts b/packages/app/src/components/collectivex/axis.test.ts
new file mode 100644
index 000000000..a5b171561
--- /dev/null
+++ b/packages/app/src/components/collectivex/axis.test.ts
@@ -0,0 +1,22 @@
+import { describe, expect, it } from 'vitest';
+
+import { sparseLogTicks } from './axis';
+
+describe('sparseLogTicks', () => {
+  it('uses sparse 1-2-5 ticks for a typical latency domain', () => {
+    expect(sparseLogTicks([48, 225], 5)).toEqual([50, 100, 200]);
+  });
+
+  it('caps wide domains without restoring dense minor ticks', () => {
+    expect(sparseLogTicks([0.1, 1000], 5)).toEqual([0.1, 1, 10, 100, 1000]);
+  });
+
+  it('falls back to a small geometric set for a narrow domain', () => {
+    expect(sparseLogTicks([52, 65], 4)).toEqual([52, 58, 65]);
+  });
+
+  it('handles reversed and invalid domains', () => {
+    expect(sparseLogTicks([225, 48], 5)).toEqual([50, 100, 200]);
+    expect(sparseLogTicks([0, Number.NaN], 5)).toEqual([]);
+  });
+});
diff --git a/packages/app/src/components/collectivex/axis.ts b/packages/app/src/components/collectivex/axis.ts
new file mode 100644
index 000000000..d3d212501
--- /dev/null
+++ b/packages/app/src/components/collectivex/axis.ts
@@ -0,0 +1,51 @@
+const LOG_MANTISSAS = [1, 2, 5] as const;
+
+function evenlySpaced<T>(values: T[], count: number): T[] {
+  if (values.length <= count) return values;
+  if (count <= 1) return [values[Math.floor(values.length / 2)]];
+
+  const selected: T[] = [];
+  for (let index = 0; index < count; index += 1) {
+    selected.push(values[Math.round((index * (values.length - 1)) / (count - 1))]);
+  }
+  return selected;
+}
+
+function fallbackLogTicks(min: number, max: number, maxTicks: number): number[] {
+  const count = Math.min(maxTicks, 3);
+  const logMin = Math.log(min);
+  const logSpan = Math.log(max) - logMin;
+  const ticks = Array.from({ length: count }, (_, index) => {
+    const value = Math.exp(logMin + (logSpan * index) / Math.max(1, count - 1));
+    return Number(value.toPrecision(2));
+  });
+  return [...new Set(ticks)].filter((value) => value >= min && value <= max);
+}
+
+/**
+ * Generate sparse 1-2-5 log ticks instead of D3's dense minor-tick sequence.
+ * The callback is evaluated against the current visible domain, including zoom.
+ */
+export function sparseLogTicks(domain: number[], maxTicks: number): number[] {
+  const numericDomain = domain.filter((value) => Number.isFinite(value) && value > 0);
+  if (numericDomain.length < 2 || maxTicks <= 0) return [];
+
+  const min = Math.min(...numericDomain);
+  const max = Math.max(...numericDomain);
+  if (min === max) return [min];
+
+  const ticks: number[] = [];
+  const firstExponent = Math.floor(Math.log10(min));
+  const lastExponent = Math.ceil(Math.log10(max));
+
+  for (let exponent = firstExponent; exponent <= lastExponent; exponent += 1) {
+    const magnitude = 10 ** exponent;
+    for (const mantissa of LOG_MANTISSAS) {
+      const value = mantissa * magnitude;
+      if (value >= min && value <= max) ticks.push(value);
+    }
+  }
+
+  const candidates = ticks.length >= 2 ? ticks : fallbackLogTicks(min, max, maxTicks);
+  return evenlySpaced(candidates, maxTicks);
+}
diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
new file mode 100644
index 000000000..e65a08a02
--- /dev/null
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -0,0 +1,171 @@
+import { describe, expect, it } from 'vitest';
+
+import {
+  chartPoints,
+  cohortMatchesSelection,
+  compareCollectiveXDecisionMetrics,
+  collectiveXColorKey,
+  collectiveXSeriesLabel,
+  collectiveXTopologyLabel,
+  comparisonDifferences,
+  metricValue,
+} from './data';
+import { makeCollectiveXDataset } from './test-fixture';
+
+describe('CollectiveX EP projections', () => {
+  it('orders decision metrics by phase, token count, measure, and percentile', () => {
+    const base = makeCollectiveXDataset().rankings[0].metric;
+    const metrics = [
+      { ...base, phase: 'prefill' as const, tokens_per_rank: 512, statistic: 'p99' as const },
+      {
+        ...base,
+        measure: 'logical_payload_rate_gbps_at_latency_percentile' as const,
+        objective: 'max' as const,
+        statistic: 'p50' as const,
+      },
+      { ...base, tokens_per_rank: 16, statistic: 'p99' as const },
+      { ...base, tokens_per_rank: 16, statistic: 'p50' as const },
+    ].toSorted(compareCollectiveXDecisionMetrics);
+
+    expect(
+      metrics.map(
+        (metric) =>
+          `${metric.phase}/${metric.tokens_per_rank}/${metric.measure}/${metric.statistic}`,
+      ),
+    ).toEqual([
+      'decode/16/latency_us/p50',
+      'decode/16/latency_us/p99',
+      'decode/128/logical_payload_rate_gbps_at_latency_percentile/p50',
+      'prefill/512/latency_us/p99',
+    ]);
+  });
+
+  it('uses measured roundtrip without synthesizing nullable components', () => {
+    const dataset = makeCollectiveXDataset();
+    const pairedOnly = dataset.series[1].points[0];
+
+    expect(metricValue(pairedOnly, 'dispatch', 'p99', 'latency')).toBeNull();
+    expect(metricValue(pairedOnly, 'combine', 'p99', 'payload-rate')).toBeNull();
+    expect(metricValue(pairedOnly, 'roundtrip', 'p99', 'latency')).toBe(120);
+    expect(metricValue(pairedOnly, 'roundtrip', 'p99', 'tokens-per-second')).toBeCloseTo(
+      8_533_333.33,
+    );
+  });
+
+  it('uses publisher supplied logical rates', () => {
+    const point = makeCollectiveXDataset().series[0].points[0];
+    point.components.roundtrip!.logical_payload_rate_gbps_at_latency_percentile!.p99 = 123.45;
+
+    expect(metricValue(point, 'roundtrip', 'p99', 'payload-rate')).toBe(123.45);
+    expect(metricValue(point, 'roundtrip', 'p95', 'payload-rate')).toBeGreaterThan(0);
+  });
+
+  it('omits unavailable series from a component projection', () => {
+    const series = makeCollectiveXDataset().series;
+
+    expect(chartPoints(series, 'dispatch', 'p99', 'tokens-per-rank', 'latency')).toHaveLength(1);
+    expect(chartPoints(series, 'roundtrip', 'p99', 'tokens-per-rank', 'latency')).toHaveLength(7);
+  });
+
+  it('reports mismatched diagnostic factors without deciding comparability', () => {
+    const series = makeCollectiveXDataset().series;
+    series[1].workload.routing = 'zipf';
+    series[1].system.topology_class = 'other-topology';
+
+    expect(comparisonDifferences(series)).toEqual(expect.arrayContaining(['routing', 'topology']));
+  });
+
+  it('reports implementation, transport, and resource differences', () => {
+    const base = makeCollectiveXDataset().series[0];
+    const different = structuredClone(base);
+    different.backend.version = '2.0.0';
+    different.build.image_digest = `sha256:${'f'.repeat(64)}`;
+    different.system.transport = 'pcie';
+    different.resource.configured_units = 12;
+
+    expect(comparisonDifferences([base, different])).toEqual(
+      expect.arrayContaining([
+        'backend implementation',
+        'implementation build',
+        'transport',
+        'resource profile',
+      ]),
+    );
+    expect(collectiveXColorKey(base)).not.toBe(collectiveXColorKey(different));
+    expect(collectiveXSeriesLabel(base)).toContain(
+      '1.0.0 · backend-default · build dddddddd · series 00000001',
+    );
+    expect(collectiveXSeriesLabel(base)).toContain('normal · scale-up · single-node-nvlink');
+    expect(collectiveXTopologyLabel(base.system)).toContain('1x8 · domain 8 · nvlink');
+  });
+
+  it('keeps publisher cohorts whole when applying mode, EP, phase, and fabric filters', () => {
+    const dataset = makeCollectiveXDataset();
+    const cohort = dataset.cohorts[0];
+    const seriesById = new Map(dataset.series.map((series) => [series.series_id, series]));
+    const selection = {
+      mode: 'normal' as const,
+      epSize: 8,
+      phase: 'decode' as const,
+      fabricScope: 'scale-up' as const,
+    };
+
+    expect(cohortMatchesSelection(cohort, seriesById, selection)).toBe(true);
+
+    const mixedMode = new Map(seriesById);
+    const changed = structuredClone(mixedMode.get(cohort.series_ids[0])!);
+    changed.mode = 'low-latency';
+    mixedMode.set(changed.series_id, changed);
+    expect(cohortMatchesSelection(cohort, mixedMode, selection)).toBe(false);
+
+    expect(
+      cohortMatchesSelection(cohort, seriesById, { ...selection, fabricScope: 'scale-out' }),
+    ).toBe(false);
+    expect(cohortMatchesSelection(cohort, seriesById, { ...selection, epSize: 16 })).toBe(false);
+    expect(cohortMatchesSelection(cohort, seriesById, { ...selection, phase: 'prefill' })).toBe(
+      false,
+    );
+  });
+
+  it('binds mode and exact topology into labels, colors, and mismatch warnings', () => {
+    const base = makeCollectiveXDataset().series[0];
+    const different = structuredClone(base);
+    different.mode = 'low-latency';
+    different.system.scope = 'scale-out';
+    different.system.nodes = 2;
+    different.system.scale_out_transport = 'rdma';
+    different.system.transport = 'nvlink-rdma';
+    different.system.topology_class = 'h100-nvlink-rdma';
+
+    expect(collectiveXColorKey(base)).not.toBe(collectiveXColorKey(different));
+    expect(collectiveXSeriesLabel(different)).toContain(
+      'low-latency · scale-out · h100-nvlink-rdma',
+    );
+    expect(comparisonDifferences([base, different])).toEqual(
+      expect.arrayContaining(['mode', 'fabric scope', 'topology']),
+    );
+  });
+
+  it('gives routing variants distinct visual identities', () => {
+    const [uniform, zipf] = makeCollectiveXDataset().series;
+    zipf.workload.routing = 'zipf';
+
+    expect(collectiveXColorKey(uniform)).not.toBe(collectiveXColorKey(zipf));
+    zipf.workload.eplb = true;
+    expect(collectiveXColorKey(zipf)).toContain('zipf-eplb');
+  });
+
+  it('keeps public config, routing-control, and runtime builds visually distinct', () => {
+    const base = makeCollectiveXDataset().series[0];
+    const publicConfig = structuredClone(base);
+    const routingControl = structuredClone(base);
+    const runtime = structuredClone(base);
+    publicConfig.build.public_config_sha256 = '0'.repeat(64);
+    routingControl.build.routing_control_sha256 = '9'.repeat(64);
+    runtime.build.runtime_fingerprint_sha256 = '6'.repeat(64);
+
+    expect(collectiveXColorKey(base)).not.toBe(collectiveXColorKey(publicConfig));
+    expect(collectiveXColorKey(base)).not.toBe(collectiveXColorKey(routingControl));
+    expect(collectiveXColorKey(base)).not.toBe(collectiveXColorKey(runtime));
+  });
+});
diff --git a/packages/app/src/components/collectivex/data.ts b/packages/app/src/components/collectivex/data.ts
new file mode 100644
index 000000000..dc0e655ce
--- /dev/null
+++ b/packages/app/src/components/collectivex/data.ts
@@ -0,0 +1,233 @@
+import type {
+  CollectiveXChartPoint,
+  CollectiveXCohort,
+  CollectiveXComponent,
+  CollectiveXMetric,
+  CollectiveXMode,
+  CollectiveXOperation,
+  CollectiveXPercentile,
+  CollectiveXPhase,
+  CollectiveXPoint,
+  CollectiveXSeries,
+  CollectiveXTopologyScope,
+  CollectiveXXAxis,
+  CollectiveXYAxis,
+} from './types';
+
+export type CollectiveXFabricScope = 'all' | CollectiveXTopologyScope;
+
+export interface CollectiveXSeriesSelection {
+  mode: CollectiveXMode;
+  epSize: number;
+  phase: CollectiveXPhase;
+  fabricScope: CollectiveXFabricScope;
+}
+
+const DECISION_ORDER = {
+  phase: { decode: 0, prefill: 1 },
+  measure: { latency_us: 0, logical_payload_rate_gbps_at_latency_percentile: 1 },
+  statistic: { p50: 0, p99: 1 },
+  objective: { min: 0, max: 1 },
+} as const;
+
+export function compareCollectiveXDecisionMetrics(
+  left: CollectiveXMetric,
+  right: CollectiveXMetric,
+): number {
+  return (
+    DECISION_ORDER.phase[left.phase] - DECISION_ORDER.phase[right.phase] ||
+    left.tokens_per_rank - right.tokens_per_rank ||
+    DECISION_ORDER.measure[left.measure] - DECISION_ORDER.measure[right.measure] ||
+    DECISION_ORDER.statistic[left.statistic] - DECISION_ORDER.statistic[right.statistic] ||
+    DECISION_ORDER.objective[left.objective] - DECISION_ORDER.objective[right.objective]
+  );
+}
+
+export function collectiveXTopologyLabel(
+  system: Pick<
+    CollectiveXSeries['system'],
+    | 'nodes'
+    | 'gpus_per_node'
+    | 'scale_up_domain'
+    | 'scale_up_transport'
+    | 'scale_out_transport'
+    | 'topology_class'
+  >,
+): string {
+  const transports = system.scale_out_transport
+    ? `${system.scale_up_transport}+${system.scale_out_transport}`
+    : system.scale_up_transport;
+  return `${system.nodes}x${system.gpus_per_node} · domain ${system.scale_up_domain} · ${transports} · ${system.topology_class}`;
+}
+
+export function collectiveXSeriesLabel(series: CollectiveXSeries): string {
+  const version = series.backend.version ?? 'unversioned';
+  const build = series.build.implementation_contract_sha256.slice(0, 8);
+  const identity = series.series_id.slice(-8);
+  const tier = series.publication_tier === 'official' ? 'official' : 'experimental';
+  const routing = `${series.workload.routing}${series.workload.eplb ? '+eplb' : ''}`;
+  return `${series.system.sku.toUpperCase()} EP${series.system.ep_size} · ${series.backend.label} · ${series.mode} · ${series.system.scope} · ${series.system.topology_class} · ${series.phase} · ${routing} · ${version} · ${series.resource.profile} · build ${build} · series ${identity} · ${tier}`;
+}
+
+export function collectiveXColorKey(series: CollectiveXSeries): string {
+  const routing = `${series.workload.routing}${series.workload.eplb ? '-eplb' : ''}`;
+  const eplb = series.eplb.enabled
+    ? `${series.eplb.planner ?? 'enabled'}-${series.eplb.mapping_sha256 ?? 'unmapped'}-${series.eplb.physical_experts}`
+    : 'eplb-off';
+  const units = `${series.resource.comm_units_kind ?? 'units'}-${series.resource.configured_units ?? 'default'}`;
+  return [
+    series.system.sku,
+    series.mode,
+    `ep${series.system.ep_size}`,
+    series.system.scope,
+    `${series.system.nodes}x${series.system.gpus_per_node}`,
+    `scaleup${series.system.scale_up_domain}`,
+    series.system.scale_up_transport,
+    series.system.scale_out_transport ?? 'no-scaleout',
+    series.system.topology_class,
+    series.system.transport,
+    series.backend.id,
+    series.backend.generation ?? 'default',
+    series.backend.version ?? 'unversioned',
+    series.publication_tier,
+    series.build.implementation_contract_sha256,
+    series.build.public_config_sha256,
+    series.build.routing_control_sha256,
+    series.build.runtime_fingerprint_sha256,
+    series.build.image_digest,
+    series.build.source_sha,
+    series.build.squash_sha256,
+    routing,
+    eplb,
+    series.resource.profile,
+    units,
+  ].join('_');
+}
+
+export function seriesMatchesSelection(
+  series: CollectiveXSeries,
+  selection: CollectiveXSeriesSelection,
+): boolean {
+  return (
+    series.mode === selection.mode &&
+    series.system.ep_size === selection.epSize &&
+    series.phase === selection.phase &&
+    (selection.fabricScope === 'all' || series.system.scope === selection.fabricScope)
+  );
+}
+
+export function cohortMatchesSelection(
+  cohort: CollectiveXCohort,
+  seriesById: Map<string, CollectiveXSeries>,
+  selection: CollectiveXSeriesSelection,
+): boolean {
+  return cohort.series_ids.every((seriesId) => {
+    const series = seriesById.get(seriesId);
+    return series !== undefined && seriesMatchesSelection(series, selection);
+  });
+}
+
+function operationComponent(
+  point: CollectiveXPoint,
+  operation: CollectiveXOperation,
+): CollectiveXComponent | null {
+  return point.components[operation === 'isolated-sum' ? 'isolated_sum' : operation];
+}
+
+export function metricValue(
+  point: CollectiveXPoint,
+  operation: CollectiveXOperation,
+  percentile: CollectiveXPercentile,
+  yAxis: CollectiveXYAxis,
+): number | null {
+  const component = operationComponent(point, operation);
+  if (component === null) return null;
+  const latencyUs = component.latency_us[percentile];
+  if (yAxis === 'latency') return latencyUs;
+  if (yAxis === 'tokens-per-second') {
+    return operation === 'roundtrip'
+      ? point.roundtrip_token_rate_at_latency_percentile[percentile]
+      : null;
+  }
+  return component.logical_payload_rate_gbps_at_latency_percentile?.[percentile] ?? null;
+}
+
+export function chartPoints(
+  series: CollectiveXSeries[],
+  operation: CollectiveXOperation,
+  percentile: CollectiveXPercentile,
+  xAxis: CollectiveXXAxis,
+  yAxis: CollectiveXYAxis,
+): CollectiveXChartPoint[] {
+  return series.flatMap((item) =>
+    item.points.flatMap((point) => {
+      const x = xAxis === 'tokens-per-rank' ? point.tokens_per_rank : point.global_tokens;
+      const y = metricValue(point, operation, percentile, yAxis);
+      if (!Number.isFinite(x) || x <= 0 || y === null || y <= 0 || !Number.isFinite(y)) return [];
+      return [
+        {
+          seriesId: item.series_id,
+          seriesLabel: collectiveXSeriesLabel(item),
+          colorKey: collectiveXColorKey(item),
+          x,
+          y,
+          operation,
+          percentile,
+          point,
+          series: item,
+        },
+      ];
+    }),
+  );
+}
+
+export function comparisonDifferences(series: CollectiveXSeries[]): string[] {
+  if (series.length === 0) return [];
+  const warnings: string[] = [];
+  const different = (getValue: (item: CollectiveXSeries) => unknown) =>
+    new Set(series.map(getValue)).size > 1;
+  const checks: [string, (item: CollectiveXSeries) => unknown][] = [
+    ['model', (item) => item.model],
+    ['suite', (item) => item.suite],
+    ['publication tier', (item) => item.publication_tier],
+    ['mode', (item) => item.mode],
+    ['phase', (item) => item.phase],
+    ['backend implementation', (item) => JSON.stringify(item.backend)],
+    ['implementation build', (item) => JSON.stringify(item.build)],
+    ['system identity', (item) => `${item.system.sku}/${item.system.vendor}/${item.system.label}`],
+    ['fabric scope', (item) => item.system.scope],
+    ['topology', (item) => collectiveXTopologyLabel(item.system)],
+    ['transport', (item) => item.system.transport],
+    ['world size', (item) => item.system.world_size],
+    ['EP degree', (item) => item.system.ep_size],
+    ['placement', (item) => item.system.placement],
+    ['workload', (item) => item.workload.workload_id],
+    [
+      'model shape',
+      (item) =>
+        `${item.workload.hidden}/${item.workload.top_k}/${item.workload.experts}/${item.workload.activation_profile}`,
+    ],
+    ['routing', (item) => `${item.workload.routing}/${item.workload.eplb}`],
+    ['EPLB plan', (item) => JSON.stringify(item.eplb)],
+    ['dtypes', (item) => `${item.workload.dispatch_dtype}/${item.workload.combine_dtype}`],
+    ['resource profile', (item) => JSON.stringify(item.resource)],
+    ['measurement', (item) => JSON.stringify(item.measurement)],
+    ['token ladder', (item) => item.points.map((point) => point.tokens_per_rank).join(',')],
+    [
+      'component availability',
+      (item) =>
+        item.points
+          .map((point) =>
+            ['dispatch', 'combine', 'roundtrip', 'isolated_sum']
+              .map((name) => point.components[name as keyof typeof point.components] !== null)
+              .join('/'),
+          )
+          .join(','),
+    ],
+    ['correctness', (item) => item.points.map((point) => point.correct).join(',')],
+  ];
+  for (const [label, getValue] of checks) {
+    if (different(getValue)) warnings.push(label);
+  }
+  return warnings;
+}
diff --git a/packages/app/src/components/collectivex/reader.test.ts b/packages/app/src/components/collectivex/reader.test.ts
new file mode 100644
index 000000000..8a0c5957d
--- /dev/null
+++ b/packages/app/src/components/collectivex/reader.test.ts
@@ -0,0 +1,559 @@
+import { beforeEach, describe, expect, it, vi } from 'vitest';
+
+import {
+  collectiveXChannelUrl,
+  fetchCollectiveXPublication,
+  parseCollectiveXChannel,
+  parseCollectiveXDataset,
+  sha256Hex,
+} from './reader';
+import {
+  makeCollectiveXContractDataset,
+  makeCollectiveXDataset,
+  makeCollectiveXDiagnosticDataset,
+} from './test-fixture';
+
+const mockFetch = vi.fn();
+vi.stubGlobal('fetch', mockFetch);
+
+beforeEach(() => mockFetch.mockReset());
+
+describe('CollectiveX publication reader', () => {
+  it('hashes bytes without requiring secure-context Web Crypto', async () => {
+    await expect(sha256Hex(new TextEncoder().encode('abc'))).resolves.toBe(
+      'ba7816bf8f01cfea414140de5dae2223b00361a396177a9cb410ff61f20015ad',
+    );
+  });
+
+  it('accepts the strict public shape without recomputing publisher policy', () => {
+    const dataset = makeCollectiveXDataset();
+    const nonSuccessAttempt = dataset.attempts.find(
+      (attempt) => attempt.outcome === 'unsupported',
+    )!;
+    nonSuccessAttempt.failure_mode = 'future-runtime-mode';
+    nonSuccessAttempt.reason = 'future-runtime-reason';
+
+    const result = parseCollectiveXDataset(dataset);
+
+    expect(result.series[0].publication_tier).toBe('official');
+    expect(result.cohorts.find((item) => item.kind === 'routing')?.publication_tier).toBe(
+      'comparable-experimental',
+    );
+    expect(result.series[1].points[0].components.dispatch).toBeNull();
+  });
+
+  it('preserves mode, measurement, and topology dimensions from the publisher', () => {
+    const result = parseCollectiveXDataset(makeCollectiveXContractDataset());
+    const normal = result.series.find((item) => item.mode === 'normal')!;
+    const lowLatency = result.series.find((item) => item.mode === 'low-latency')!;
+    const unsupported = result.coverage.find((item) => item.disposition === 'unsupported')!;
+
+    expect(normal.system).toMatchObject({ ep_size: 8, nodes: 1, scope: 'scale-up' });
+    expect(lowLatency.system).toMatchObject({
+      ep_size: 16,
+      nodes: 2,
+      scope: 'scale-out',
+      scale_out_transport: 'rdma',
+    });
+    expect(lowLatency.measurement).toMatchObject({
+      contract: 'expert-packed-weighted-combine-v1',
+      component_order_contract: 'roundtrip-dispatch-gate-weighted-combine-v1',
+      combine_semantics: 'gate-weighted',
+      payload_unit: 'token-expert',
+    });
+    expect(unsupported.topology).toMatchObject({
+      ep_size: 16,
+      scope: 'scale-out',
+      scale_up_transport: 'xgmi',
+      scale_out_transport: 'rdma',
+    });
+  });
+
+  it('rejects unknown, missing, and stale structural fields', () => {
+    const unknown = makeCollectiveXDataset() as unknown as Record<string, unknown>;
+    unknown.browser_decision = true;
+    expect(() => parseCollectiveXDataset(unknown)).toThrow('unknown field browser_decision');
+
+    const missingTier = makeCollectiveXDataset();
+    delete (missingTier.series[0] as Partial<(typeof missingTier.series)[number]>).publication_tier;
+    expect(() => parseCollectiveXDataset(missingTier)).toThrow('publication_tier');
+
+    const staleMetric = makeCollectiveXDataset();
+    const component = staleMetric.series[0].points[0].components.roundtrip! as unknown as Record<
+      string,
+      unknown
+    >;
+    component.logical_gbps = component.logical_payload_rate_gbps_at_latency_percentile;
+    delete component.logical_payload_rate_gbps_at_latency_percentile;
+    expect(() => parseCollectiveXDataset(staleMetric)).toThrow('logical_payload_rate');
+
+    const missingTopologyScope = makeCollectiveXContractDataset();
+    delete (
+      missingTopologyScope.coverage[0].topology as Partial<
+        (typeof missingTopologyScope.coverage)[number]['topology']
+      >
+    ).scope;
+    expect(() => parseCollectiveXDataset(missingTopologyScope)).toThrow('scope');
+
+    const staleMode = makeCollectiveXContractDataset();
+    (staleMode.series.at(-1) as unknown as Record<string, unknown>).mode = 'll';
+    expect(() => parseCollectiveXDataset(staleMode)).toThrow('normal');
+  });
+
+  it('matches backend eligibility and evidence uniqueness constraints', () => {
+    const missingReason = makeCollectiveXDataset();
+    missingReason.series[0].eligibility.decision_grade = false;
+    expect(() => parseCollectiveXDataset(missingReason)).toThrow('diagnostic eligibility');
+
+    const repeatedEvidenceId = makeCollectiveXDataset();
+    const attemptWithEvidence = repeatedEvidenceId.attempts.find(
+      (attempt) => attempt.evidence.length > 0,
+    )!;
+    const evidence = attemptWithEvidence.evidence[0];
+    attemptWithEvidence.evidence.push({
+      evidence_id: evidence.evidence_id,
+      point_id: repeatedEvidenceId.series[1].points[0].point_id,
+    });
+    expect(() => parseCollectiveXDataset(repeatedEvidenceId)).toThrow('duplicate evidence ID');
+
+    const duplicateEvidence = makeCollectiveXDataset();
+    const duplicateAttempt = duplicateEvidence.attempts.find(
+      (attempt) => attempt.evidence.length > 0,
+    )!;
+    duplicateAttempt.evidence.push({ ...duplicateAttempt.evidence[0] });
+    expect(() => parseCollectiveXDataset(duplicateEvidence)).toThrow('duplicate evidence items');
+  });
+
+  it('rejects broken coverage and attempt references', () => {
+    const unknownCase = makeCollectiveXDataset();
+    unknownCase.attempts[0].case_id = `cxcase-v1-${'f'.repeat(64)}`;
+    expect(() => parseCollectiveXDataset(unknownCase)).toThrow('references unknown coverage');
+
+    const incompleteCatalog = makeCollectiveXDataset();
+    incompleteCatalog.coverage[0].attempt_ids.pop();
+    expect(() => parseCollectiveXDataset(incompleteCatalog)).toThrow(
+      'inconsistent attempt catalog',
+    );
+
+    const wrongSelection = makeCollectiveXDataset();
+    wrongSelection.coverage[0].selected_attempt_id = wrongSelection.coverage[1].attempt_ids[0];
+    expect(() => parseCollectiveXDataset(wrongSelection)).toThrow('invalid selected attempt');
+
+    const twoSelections = makeCollectiveXDataset();
+    const selected = twoSelections.attempts[0];
+    const duplicateSelection = {
+      ...structuredClone(selected),
+      attempt_id: `cxattempt-v1-${'e'.repeat(64)}`,
+      evidence: [],
+      attempt_index: 2,
+      outcome: 'failed' as const,
+      failure_mode: 'retry-failed',
+      reason: 'retry-failed',
+      series_id: null,
+    };
+    twoSelections.attempts.push(duplicateSelection);
+    twoSelections.coverage
+      .find((item) => item.case_id === selected.case_id)!
+      .attempt_ids.push(duplicateSelection.attempt_id);
+    expect(() => parseCollectiveXDataset(twoSelections)).toThrow('invalid allocation selection');
+
+    const wrongCounters = makeCollectiveXDataset();
+    wrongCounters.promotion.requested_cases = 999;
+    wrongCounters.promotion.terminal_cases = 0;
+    expect(() => parseCollectiveXDataset(wrongCounters)).toThrow(
+      'coverage counters differ from coverage',
+    );
+  });
+
+  it('rejects dangling series and cohort references', () => {
+    const unknownSeries = makeCollectiveXDataset();
+    unknownSeries.attempts.find((attempt) => attempt.series_id !== null)!.series_id =
+      `cxseries-v1-${'f'.repeat(64)}`;
+    expect(() => parseCollectiveXDataset(unknownSeries)).toThrow('references unknown series');
+
+    const unknownCohortMember = makeCollectiveXDataset();
+    unknownCohortMember.cohorts[0].series_ids[0] = `cxseries-v1-${'f'.repeat(64)}`;
+    expect(() => parseCollectiveXDataset(unknownCohortMember)).toThrow('references unknown series');
+
+    const duplicateSeries = makeCollectiveXDataset();
+    duplicateSeries.series.push(structuredClone(duplicateSeries.series[0]));
+    expect(() => parseCollectiveXDataset(duplicateSeries)).toThrow('duplicate ID');
+  });
+
+  it('rejects contradictory publisher status and eligibility catalogs', () => {
+    const wrongAttemptReason = makeCollectiveXDataset();
+    const unsupported = wrongAttemptReason.attempts.find(
+      (attempt) => attempt.outcome === 'unsupported',
+    )!;
+    unsupported.reason = null;
+    expect(() => parseCollectiveXDataset(wrongAttemptReason)).toThrow('contradictory status');
+
+    const wrongSeriesStatus = makeCollectiveXDataset();
+    wrongSeriesStatus.series[0].status = 'diagnostic';
+    expect(() => parseCollectiveXDataset(wrongSeriesStatus)).toThrow('inconsistent eligibility');
+
+    const wrongCohortAllocations = makeCollectiveXDataset();
+    wrongCohortAllocations.cohorts[0].eligibility.allocation_ids.pop();
+    expect(() => parseCollectiveXDataset(wrongCohortAllocations)).toThrow(
+      'inconsistent eligibility',
+    );
+  });
+
+  it('rejects decision and sensitivity links outside their cohorts', () => {
+    const unknownRankingCohort = makeCollectiveXDataset();
+    unknownRankingCohort.rankings[0].cohort_id = `cxcohort-v1-${'f'.repeat(64)}`;
+    expect(() => parseCollectiveXDataset(unknownRankingCohort)).toThrow(
+      'references unknown cohort',
+    );
+
+    const wrongRankingPoint = makeCollectiveXDataset();
+    const ranking = wrongRankingPoint.rankings[0];
+    ranking.entries[0].point_id = wrongRankingPoint.series.find(
+      (series) => series.series_id !== ranking.entries[0].series_id,
+    )!.points[0].point_id;
+    expect(() => parseCollectiveXDataset(wrongRankingPoint)).toThrow('invalid point');
+
+    const wrongRecommendationSeries = makeCollectiveXDataset();
+    const recommendation = wrongRecommendationSeries.recommendations[0];
+    const cohort = wrongRecommendationSeries.cohorts.find(
+      (item) => item.cohort_id === recommendation.cohort_id,
+    )!;
+    const outsider = wrongRecommendationSeries.series.find(
+      (series) => !cohort.series_ids.includes(series.series_id),
+    )!;
+    recommendation.series_id = outsider.series_id;
+    recommendation.point_id = outsider.points[0].point_id;
+    expect(() => parseCollectiveXDataset(wrongRecommendationSeries)).toThrow(
+      'invalid publication links',
+    );
+
+    const wrongSensitivitySeries = makeCollectiveXDataset();
+    const sensitivity = wrongSensitivitySeries.sensitivities[0];
+    const sensitivityCohort = wrongSensitivitySeries.cohorts.find(
+      (item) => item.cohort_id === sensitivity.cohort_id,
+    )!;
+    sensitivity.candidate_series_id = wrongSensitivitySeries.series.find(
+      (series) => !sensitivityCohort.series_ids.includes(series.series_id),
+    )!.series_id;
+    expect(() => parseCollectiveXDataset(wrongSensitivitySeries)).toThrow(
+      'invalid publication links',
+    );
+  });
+
+  it('rejects contradictory decision graphs without choosing replacements', () => {
+    const duplicateRankingMember = makeCollectiveXDataset();
+    duplicateRankingMember.rankings[0].entries.push(
+      structuredClone(duplicateRankingMember.rankings[0].entries[0]),
+    );
+    expect(() => parseCollectiveXDataset(duplicateRankingMember)).toThrow(
+      'does not reference its cohort',
+    );
+
+    const duplicateMetric = makeCollectiveXDataset();
+    const clonedRanking = structuredClone(duplicateMetric.rankings[0]);
+    clonedRanking.ranking_id = `cxranking-v1-${'e'.repeat(64)}`;
+    clonedRanking.entries = clonedRanking.entries.toReversed();
+    clonedRanking.entries.forEach((entry, index) => {
+      entry.rank = index + 1;
+    });
+    duplicateMetric.rankings.push(clonedRanking);
+    expect(() => parseCollectiveXDataset(duplicateMetric)).toThrow('duplicates a decision metric');
+
+    const nonWinner = makeCollectiveXDataset();
+    const recommendation = nonWinner.recommendations[0];
+    const ranking = nonWinner.rankings.find(
+      (item) =>
+        item.cohort_id === recommendation.cohort_id &&
+        item.metric.statistic === 'p50' &&
+        item.metric.measure === 'latency_us',
+    )!;
+    const runnerUp = ranking.entries[1];
+    recommendation.series_id = runnerUp.series_id;
+    recommendation.point_id = runnerUp.point_id;
+    recommendation.value = runnerUp.value;
+    recommendation.unit = runnerUp.unit;
+    expect(() => parseCollectiveXDataset(nonWinner)).toThrow('invalid publication links');
+
+    const routingRecommendation = makeCollectiveXDataset();
+    const routingCohort = routingRecommendation.cohorts.find((item) => item.kind === 'routing')!;
+    const routingSeries = routingRecommendation.series.find(
+      (item) => item.series_id === routingCohort.series_ids[0],
+    )!;
+    const movedRecommendation = routingRecommendation.recommendations[0];
+    movedRecommendation.cohort_id = routingCohort.cohort_id;
+    movedRecommendation.series_id = routingSeries.series_id;
+    movedRecommendation.point_id = routingSeries.points[0].point_id;
+    expect(() => parseCollectiveXDataset(routingRecommendation)).toThrow(
+      'invalid publication links',
+    );
+
+    const nonRoutingSensitivity = makeCollectiveXDataset();
+    const libraryCohort = nonRoutingSensitivity.cohorts.find((item) => item.kind === 'library')!;
+    const sensitivity = nonRoutingSensitivity.sensitivities[0];
+    sensitivity.cohort_id = libraryCohort.cohort_id;
+    sensitivity.baseline_series_id = libraryCohort.series_ids[0];
+    sensitivity.candidate_series_id = libraryCohort.series_ids[0];
+    expect(() => parseCollectiveXDataset(nonRoutingSensitivity)).toThrow(
+      'invalid publication links',
+    );
+
+    const wrongMetricUnit = makeCollectiveXDataset();
+    wrongMetricUnit.rankings[0].metric.objective = 'max';
+    wrongMetricUnit.rankings[0].entries.forEach((entry) => {
+      entry.unit = 'GB/s';
+    });
+    expect(() => parseCollectiveXDataset(wrongMetricUnit)).toThrow('invalid metric metadata');
+
+    const wrongSensitivityMetric = makeCollectiveXDataset();
+    wrongSensitivityMetric.sensitivities[0].metric = {
+      ...wrongSensitivityMetric.sensitivities[0].metric,
+      objective: 'max',
+    };
+    expect(() => parseCollectiveXDataset(wrongSensitivityMetric)).toThrow(
+      'invalid publication links',
+    );
+
+    const duplicateRecommendation = makeCollectiveXDataset();
+    const clonedRecommendation = structuredClone(duplicateRecommendation.recommendations[0]);
+    clonedRecommendation.recommendation_id = `cxrecommendation-v1-${'e'.repeat(64)}`;
+    duplicateRecommendation.recommendations.push(clonedRecommendation);
+    expect(() => parseCollectiveXDataset(duplicateRecommendation)).toThrow(
+      'invalid publication links',
+    );
+
+    const duplicateSensitivity = makeCollectiveXDataset();
+    const clonedSensitivity = structuredClone(duplicateSensitivity.sensitivities[0]);
+    clonedSensitivity.sensitivity_id = `cxsensitivity-v1-${'e'.repeat(64)}`;
+    duplicateSensitivity.sensitivities.push(clonedSensitivity);
+    expect(() => parseCollectiveXDataset(duplicateSensitivity)).toThrow(
+      'invalid publication links',
+    );
+  });
+
+  it('rejects copied decision values and invalid publication envelopes', () => {
+    const wrongRankingValue = makeCollectiveXDataset();
+    wrongRankingValue.rankings[0].entries[0].value *= 2;
+    expect(() => parseCollectiveXDataset(wrongRankingValue)).toThrow(
+      'differs from measured series data',
+    );
+
+    const promotedWithoutEligibleDecisions = makeCollectiveXDataset();
+    for (const cohort of promotedWithoutEligibleDecisions.cohorts) {
+      cohort.eligibility = {
+        ...cohort.eligibility,
+        decision_grade: false,
+        stable_ordering: false,
+        reasons: ['unstable-ordering'],
+      };
+    }
+    promotedWithoutEligibleDecisions.rankings = [];
+    promotedWithoutEligibleDecisions.recommendations = [];
+    promotedWithoutEligibleDecisions.sensitivities = [];
+    expect(() => parseCollectiveXDataset(promotedWithoutEligibleDecisions)).toThrow(
+      'promoted dataset lacks a complete decision graph',
+    );
+
+    const quarantinedWithEvidence = makeCollectiveXDataset();
+    quarantinedWithEvidence.promotion.status = 'quarantined';
+    expect(() => parseCollectiveXDataset(quarantinedWithEvidence)).toThrow(
+      'quarantined dataset exposes publication evidence',
+    );
+  });
+
+  it('accepts only digest-addressed public channel paths', () => {
+    const digest = 'a'.repeat(64);
+    expect(
+      parseCollectiveXChannel({
+        format: 'collectivex.channel.v1',
+        channel: 'dev-latest',
+        generated_at: '2026-07-04T00:00:00Z',
+        dataset: {
+          path: `datasets/${digest}/dataset.json`,
+          sha256: digest,
+          bytes: 10,
+        },
+      }).dataset.sha256,
+    ).toBe(digest);
+
+    expect(() =>
+      parseCollectiveXChannel({
+        format: 'collectivex.channel.v1',
+        channel: 'dev-latest',
+        generated_at: '2026-07-04T00:00:00Z',
+        dataset: { path: '../private/dataset.json', sha256: digest, bytes: 10 },
+      }),
+    ).toThrow('dataset.path');
+
+    expect(() =>
+      parseCollectiveXChannel({
+        format: 'collectivex.channel.v1',
+        channel: 'dev-latest',
+        generated_at: '2026-07-04T00:00:00Z',
+        dataset: {
+          path: `datasets/${'b'.repeat(64)}/dataset.json`,
+          sha256: digest,
+          bytes: 10,
+        },
+      }),
+    ).toThrow('digest-addressed');
+
+    expect(() =>
+      parseCollectiveXChannel({
+        format: 'collectivex.channel.v1',
+        channel: 'dev-latest',
+        generated_at: '2026-07-04T00:00:00Z',
+        dataset: {
+          path: `datasets/${digest}/dataset.json`,
+          sha256: digest,
+          bytes: 32 * 1024 * 1024 + 1,
+        },
+      }),
+    ).toThrow('33554432');
+  });
+
+  it('verifies exact bytes and SHA-256 before parsing', async () => {
+    const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDataset()));
+    const digest = await sha256Hex(bytes);
+    mockPublication(bytes, digest);
+
+    const result = await fetchCollectiveXPublication();
+
+    expect(result.digest).toBe(digest);
+    expect(mockFetch).toHaveBeenNthCalledWith(
+      1,
+      collectiveXChannelUrl('dev-latest'),
+      expect.objectContaining({ cache: 'no-store', credentials: 'same-origin' }),
+    );
+    expect(mockFetch).toHaveBeenNthCalledWith(
+      2,
+      `/collectivex-data/v1/datasets/${digest}/dataset.json`,
+      expect.objectContaining({ cache: 'force-cache', credentials: 'same-origin' }),
+    );
+  });
+
+  it('distinguishes deployment and channel availability from rejected publication bytes', async () => {
+    mockFetch.mockResolvedValueOnce({ ok: false, status: 503, headers: new Headers() });
+    await expect(fetchCollectiveXPublication()).rejects.toMatchObject({
+      name: 'CollectiveXDataError',
+      availabilityReason: 'store-unavailable',
+    });
+
+    mockFetch.mockReset();
+    mockFetch.mockResolvedValueOnce({
+      ok: false,
+      status: 503,
+      headers: new Headers({ 'X-CollectiveX-Status': 'source-unavailable' }),
+    });
+    await expect(fetchCollectiveXPublication()).rejects.toMatchObject({
+      name: 'CollectiveXDataError',
+      availabilityReason: 'source-unavailable',
+    });
+
+    mockFetch.mockReset();
+    mockFetch.mockResolvedValueOnce({
+      ok: false,
+      status: 404,
+      headers: new Headers({ 'X-CollectiveX-Status': 'channel-unavailable' }),
+    });
+    await expect(fetchCollectiveXPublication()).rejects.toMatchObject({
+      name: 'CollectiveXDataError',
+      availabilityReason: 'channel-unavailable',
+    });
+
+    mockFetch.mockReset();
+    mockFetch.mockResolvedValueOnce({ ok: false, status: 404, headers: new Headers() });
+    await expect(fetchCollectiveXPublication()).rejects.toThrow(
+      'CollectiveX publication rejected: channel request failed (404).',
+    );
+  });
+
+  it('fails closed on byte, digest, and channel-name mismatch', async () => {
+    const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDataset()));
+    const digest = await sha256Hex(bytes);
+    mockPublication(bytes, digest, { byteLength: bytes.length + 1 });
+    await expect(fetchCollectiveXPublication()).rejects.toThrow('byte count');
+
+    mockFetch.mockReset();
+    mockPublication(bytes, 'f'.repeat(64));
+    await expect(fetchCollectiveXPublication()).rejects.toThrow('SHA-256');
+
+    mockFetch.mockReset();
+    mockPublication(bytes, digest, { pointerChannel: 'latest-attempt' });
+    await expect(fetchCollectiveXPublication('dev-latest')).rejects.toThrow(
+      'channel name does not match',
+    );
+
+    mockFetch.mockReset();
+    mockPublication(bytes, digest, { pointerTimestamp: '2099-01-01T00:00:00Z' });
+    await expect(fetchCollectiveXPublication()).rejects.toThrow('timestamp does not match');
+  });
+
+  it('requires a promoted dataset only on dev-latest', async () => {
+    const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDiagnosticDataset()));
+    const digest = await sha256Hex(bytes);
+    mockPublication(bytes, digest);
+    await expect(fetchCollectiveXPublication('dev-latest')).rejects.toThrow(
+      'does not reference a promoted dataset',
+    );
+
+    mockFetch.mockReset();
+    mockPublication(bytes, digest, { pointerChannel: 'latest-attempt' });
+    await expect(fetchCollectiveXPublication('latest-attempt')).resolves.toMatchObject({
+      dataset: { promotion: { status: 'diagnostic' } },
+    });
+  });
+
+  it('rejects duplicate JSON keys before schema validation', async () => {
+    mockFetch.mockResolvedValueOnce({
+      ok: true,
+      text: () =>
+        Promise.resolve(
+          `{"format":"collectivex.channel.v1","format":"collectivex.channel.v1",` +
+            `"channel":"dev-latest","generated_at":"2026-07-04T01:00:00Z",` +
+            `"dataset":{"path":"datasets/${'a'.repeat(64)}/dataset.json",` +
+            `"sha256":"${'a'.repeat(64)}","bytes":1}}`,
+        ),
+    });
+    await expect(fetchCollectiveXPublication()).rejects.toThrow('duplicate key format');
+
+    mockFetch.mockReset();
+    const text = JSON.stringify(makeCollectiveXDataset()).replace(
+      '"schema_version":1',
+      '"schema_version":1,"schema_version":1',
+    );
+    const bytes = new TextEncoder().encode(text);
+    const digest = await sha256Hex(bytes);
+    mockPublication(bytes, digest);
+    await expect(fetchCollectiveXPublication()).rejects.toThrow('duplicate key schema_version');
+  });
+});
+
+function mockPublication(
+  bytes: Uint8Array<ArrayBuffer>,
+  digest: string,
+  options: {
+    byteLength?: number;
+    pointerChannel?: 'dev-latest' | 'latest-attempt';
+    pointerTimestamp?: string;
+  } = {},
+) {
+  const channel = options.pointerChannel ?? 'dev-latest';
+  mockFetch
+    .mockResolvedValueOnce({
+      ok: true,
+      text: () =>
+        Promise.resolve(
+          JSON.stringify({
+            format: 'collectivex.channel.v1',
+            channel,
+            generated_at: options.pointerTimestamp ?? '2026-07-04T01:00:00Z',
+            dataset: {
+              path: `datasets/${digest}/dataset.json`,
+              sha256: digest,
+              bytes: options.byteLength ?? bytes.length,
+            },
+          }),
+        ),
+    })
+    .mockResolvedValueOnce({ ok: true, arrayBuffer: () => Promise.resolve(bytes.buffer) });
+}
diff --git a/packages/app/src/components/collectivex/reader.ts b/packages/app/src/components/collectivex/reader.ts
new file mode 100644
index 000000000..ba86cb0de
--- /dev/null
+++ b/packages/app/src/components/collectivex/reader.ts
@@ -0,0 +1,614 @@
+import type { ZodError } from 'zod';
+import { sha256 } from '@noble/hashes/sha2.js';
+import { bytesToHex } from '@noble/hashes/utils.js';
+
+import {
+  collectiveXChannelSchema,
+  collectiveXDatasetSchema,
+  type CollectiveXChannel,
+  type CollectiveXDataset,
+  type CollectiveXMetric,
+  type CollectiveXPoint,
+  type CollectiveXResolvedDataset,
+  type CollectiveXSeries,
+  type CollectiveXVersion,
+} from './types';
+
+export type CollectiveXChannelName = CollectiveXChannel['channel'];
+
+const collectiveXPublicRoot = (version: CollectiveXVersion) => `/collectivex-data/${version}/`;
+
+export const collectiveXChannelUrl = (
+  channel: CollectiveXChannelName,
+  version: CollectiveXVersion = 'v1',
+) => `${collectiveXPublicRoot(version)}channels/${channel}.json`;
+
+export type CollectiveXAvailabilityReason =
+  | 'store-unavailable'
+  | 'source-unavailable'
+  | 'channel-unavailable';
+
+class CollectiveXDataError extends Error {
+  readonly availabilityReason: CollectiveXAvailabilityReason | null;
+
+  constructor(message: string, availabilityReason: CollectiveXAvailabilityReason | null = null) {
+    super(availabilityReason ? message : `CollectiveX publication rejected: ${message}`);
+    this.name = 'CollectiveXDataError';
+    this.availabilityReason = availabilityReason;
+  }
+}
+
+export function collectiveXAvailabilityReason(
+  error: unknown,
+): CollectiveXAvailabilityReason | null {
+  return error instanceof CollectiveXDataError ? error.availabilityReason : null;
+}
+
+function schemaError(error: ZodError): CollectiveXDataError {
+  const issue = error.issues[0];
+  const path = issue?.path.length ? `$.${issue.path.join('.')}` : '$';
+  if (issue?.code === 'unrecognized_keys') {
+    return new CollectiveXDataError(`${path} contains unknown field ${issue.keys[0]}.`);
+  }
+  return new CollectiveXDataError(`${path} ${issue?.message ?? 'is malformed'}.`);
+}
+
+function strictJson(text: string, name: string): unknown {
+  let value: unknown;
+  try {
+    value = JSON.parse(text);
+  } catch {
+    throw new CollectiveXDataError(`${name} is not valid JSON.`);
+  }
+
+  let offset = 0;
+  const whitespace = () => {
+    while (/\s/.test(text[offset] ?? '')) offset += 1;
+  };
+  const string = () => {
+    const start = offset++;
+    while (offset < text.length) {
+      if (text[offset] === '"') {
+        offset += 1;
+        return JSON.parse(text.slice(start, offset)) as string;
+      }
+      if (text[offset] === '\\') offset += text[offset + 1] === 'u' ? 6 : 2;
+      else offset += 1;
+    }
+    throw new CollectiveXDataError(`${name} contains an unterminated string.`);
+  };
+  const parseValue = (): void => {
+    whitespace();
+    if (text[offset] === '{') return object();
+    if (text[offset] === '[') return array();
+    if (text[offset] === '"') return void string();
+    while (offset < text.length && !/[\s,\]}]/.test(text[offset])) offset += 1;
+  };
+  const object = (): void => {
+    const keys = new Set<string>();
+    offset += 1;
+    whitespace();
+    if (text[offset] === '}') return void (offset += 1);
+    while (offset < text.length) {
+      const key = string();
+      if (keys.has(key)) throw new CollectiveXDataError(`${name} contains duplicate key ${key}.`);
+      keys.add(key);
+      whitespace();
+      offset += 1;
+      parseValue();
+      whitespace();
+      if (text[offset] === '}') return void (offset += 1);
+      offset += 1;
+      whitespace();
+    }
+  };
+  const array = (): void => {
+    offset += 1;
+    whitespace();
+    if (text[offset] === ']') return void (offset += 1);
+    while (offset < text.length) {
+      parseValue();
+      whitespace();
+      if (text[offset] === ']') return void (offset += 1);
+      offset += 1;
+    }
+  };
+  parseValue();
+  return value;
+}
+
+export function parseCollectiveXDatasetText(text: string): CollectiveXDataset {
+  return parseCollectiveXDataset(strictJson(text, 'dataset'));
+}
+
+export function parseCollectiveXChannel(value: unknown): CollectiveXChannel {
+  const parsed = collectiveXChannelSchema.safeParse(value);
+  if (!parsed.success) throw schemaError(parsed.error);
+  const { dataset } = parsed.data;
+  if (dataset.path !== `datasets/${dataset.sha256}/dataset.json`) {
+    throw new CollectiveXDataError('$.dataset.path must be the digest-addressed dataset path.');
+  }
+  return parsed.data;
+}
+
+function uniqueIndex<T>(items: T[], id: (item: T) => string, path: string): Map<string, T> {
+  const indexed = new Map<string, T>();
+  for (const item of items) {
+    const value = id(item);
+    if (indexed.has(value))
+      throw new CollectiveXDataError(`${path} contains duplicate ID ${value}.`);
+    indexed.set(value, item);
+  }
+  return indexed;
+}
+
+function sameIds(actual: string[], expected: Iterable<string>): boolean {
+  const actualSet = new Set(actual);
+  const expectedSet = new Set(expected);
+  return (
+    actual.length === actualSet.size &&
+    actualSet.size === expectedSet.size &&
+    [...actualSet].every((id) => expectedSet.has(id))
+  );
+}
+
+function sameValue(left: unknown, right: unknown): boolean {
+  return JSON.stringify(left) === JSON.stringify(right);
+}
+
+const RECOMMENDATION_METRICS = {
+  'min-p50-latency': ['latency_us', 'p50'],
+  'min-p99-latency': ['latency_us', 'p99'],
+  'max-payload-rate-at-p50-latency': ['logical_payload_rate_gbps_at_latency_percentile', 'p50'],
+  'max-payload-rate-at-p99-latency': ['logical_payload_rate_gbps_at_latency_percentile', 'p99'],
+} as const;
+
+function closeEnough(left: number, right: number): boolean {
+  return (
+    left === right || Math.abs(left - right) <= 1e-12 * Math.max(Math.abs(left), Math.abs(right))
+  );
+}
+
+function metricValue(
+  owner: CollectiveXSeries,
+  metric: CollectiveXMetric,
+): { point: CollectiveXPoint; value: number; unit: 'us' | 'GB/s' } | null {
+  if (owner.phase !== metric.phase) return null;
+  const point = owner.points.find((item) => item.tokens_per_rank === metric.tokens_per_rank);
+  const component = point?.components.roundtrip;
+  if (!point || !component) return null;
+  if (metric.measure === 'latency_us') {
+    return { point, value: component.latency_us[metric.statistic], unit: 'us' };
+  }
+  const value = component.logical_payload_rate_gbps_at_latency_percentile?.[metric.statistic];
+  return value === null || value === undefined ? null : { point, value, unit: 'GB/s' };
+}
+
+function validateDatasetReferences(dataset: CollectiveXDataset): void {
+  const coverage = uniqueIndex(dataset.coverage, (item) => item.case_id, '$.coverage');
+  const attempts = uniqueIndex(dataset.attempts, (item) => item.attempt_id, '$.attempts');
+  const series = uniqueIndex(dataset.series, (item) => item.series_id, '$.series');
+  const cohorts = uniqueIndex(dataset.cohorts, (item) => item.cohort_id, '$.cohorts');
+  uniqueIndex(dataset.rankings, (item) => item.ranking_id, '$.rankings');
+  uniqueIndex(dataset.recommendations, (item) => item.recommendation_id, '$.recommendations');
+  uniqueIndex(dataset.sensitivities, (item) => item.sensitivity_id, '$.sensitivities');
+
+  const points = new Map<string, { point: CollectiveXPoint; series: CollectiveXSeries }>();
+  for (const owner of dataset.series) {
+    for (const point of owner.points) {
+      if (points.has(point.point_id)) {
+        throw new CollectiveXDataError(`$.series contains duplicate point ID ${point.point_id}.`);
+      }
+      points.set(point.point_id, { point, series: owner });
+    }
+  }
+
+  const allocationIds = new Set(dataset.promotion.allocation_ids);
+  const seenEvidenceIds = new Set<string>();
+  const attemptGroups = new Map<string, CollectiveXDataset['attempts']>();
+  for (const attempt of dataset.attempts) {
+    if (!coverage.has(attempt.case_id)) {
+      throw new CollectiveXDataError(`attempt ${attempt.attempt_id} references unknown coverage.`);
+    }
+    if (!allocationIds.has(attempt.allocation_id)) {
+      throw new CollectiveXDataError(
+        `attempt ${attempt.attempt_id} references unknown allocation.`,
+      );
+    }
+    for (const evidence of attempt.evidence) {
+      if (seenEvidenceIds.has(evidence.evidence_id)) {
+        throw new CollectiveXDataError(
+          `$.attempts contains duplicate evidence ID ${evidence.evidence_id}.`,
+        );
+      }
+      seenEvidenceIds.add(evidence.evidence_id);
+    }
+    if (
+      (attempt.outcome === 'success' && attempt.selected) !== (attempt.series_id !== null) ||
+      (attempt.outcome === 'success') !== (attempt.reason === null) ||
+      (attempt.outcome === 'success' && attempt.failure_mode !== null)
+    ) {
+      throw new CollectiveXDataError(`attempt ${attempt.attempt_id} has contradictory status.`);
+    }
+    const groupKey = `${attempt.case_id}\0${attempt.allocation_id}`;
+    attemptGroups.set(groupKey, [...(attemptGroups.get(groupKey) ?? []), attempt]);
+    if (attempt.series_id === null) continue;
+    const owner = series.get(attempt.series_id);
+    if (!owner) {
+      throw new CollectiveXDataError(`attempt ${attempt.attempt_id} references unknown series.`);
+    }
+    if (
+      !owner.case_ids.includes(attempt.case_id) ||
+      !owner.allocation_ids.includes(attempt.allocation_id)
+    ) {
+      throw new CollectiveXDataError(
+        `attempt ${attempt.attempt_id} is outside its series catalog.`,
+      );
+    }
+    for (const evidence of attempt.evidence) {
+      const pointOwner = points.get(evidence.point_id);
+      if (
+        pointOwner?.series.series_id !== owner.series_id ||
+        !pointOwner.point.evidence_ids.includes(evidence.evidence_id)
+      ) {
+        throw new CollectiveXDataError(`attempt ${attempt.attempt_id} has invalid point evidence.`);
+      }
+    }
+  }
+  for (const group of attemptGroups.values()) {
+    const ordered = group.toSorted((left, right) => left.attempt_index - right.attempt_index);
+    const selected = ordered.filter((attempt) => attempt.selected);
+    if (
+      ordered.some((attempt, index) => attempt.attempt_index !== index + 1) ||
+      selected.length !== 1
+    ) {
+      throw new CollectiveXDataError('retained retries have an invalid allocation selection.');
+    }
+  }
+  if (
+    !sameIds(
+      dataset.promotion.allocation_ids,
+      dataset.attempts.map((item) => item.allocation_id),
+    )
+  ) {
+    throw new CollectiveXDataError('$.promotion.allocation_ids differs from retained attempts.');
+  }
+
+  for (const item of dataset.coverage) {
+    const expectedAttempts = dataset.attempts
+      .filter((attempt) => attempt.case_id === item.case_id)
+      .map((attempt) => attempt.attempt_id);
+    if (!sameIds(item.attempt_ids, expectedAttempts)) {
+      throw new CollectiveXDataError(
+        `coverage ${item.case_id} has an inconsistent attempt catalog.`,
+      );
+    }
+    if (item.selected_attempt_id === null) continue;
+    const selected = attempts.get(item.selected_attempt_id);
+    if (
+      !selected ||
+      !item.attempt_ids.includes(selected.attempt_id) ||
+      !selected.selected ||
+      selected.outcome !== item.outcome ||
+      selected.failure_mode !== item.failure_mode ||
+      selected.reason !== item.reason
+    ) {
+      throw new CollectiveXDataError(`coverage ${item.case_id} has an invalid selected attempt.`);
+    }
+  }
+  if (
+    dataset.promotion.requested_cases !== dataset.coverage.length ||
+    dataset.promotion.terminal_cases !==
+      dataset.coverage.filter((item) => item.selected_attempt_id !== null).length
+  ) {
+    throw new CollectiveXDataError('$.promotion coverage counters differ from coverage.');
+  }
+
+  for (const item of dataset.series) {
+    if (
+      item.status !== (item.eligibility.decision_grade ? 'decision-grade' : 'diagnostic') ||
+      !sameIds(item.eligibility.allocation_ids, item.allocation_ids)
+    ) {
+      throw new CollectiveXDataError(`series ${item.series_id} has inconsistent eligibility.`);
+    }
+    if (item.case_ids.some((id) => !coverage.has(id))) {
+      throw new CollectiveXDataError(`series ${item.series_id} references unknown coverage.`);
+    }
+    if (item.allocation_ids.some((id) => !allocationIds.has(id))) {
+      throw new CollectiveXDataError(`series ${item.series_id} references unknown allocation.`);
+    }
+    const selected = dataset.attempts.filter(
+      (attempt) => attempt.selected && attempt.series_id === item.series_id,
+    );
+    if (
+      !sameIds(
+        item.case_ids,
+        selected.map((attempt) => attempt.case_id),
+      ) ||
+      !sameIds(
+        item.allocation_ids,
+        selected.map((attempt) => attempt.allocation_id),
+      )
+    ) {
+      throw new CollectiveXDataError(
+        `series ${item.series_id} has an inconsistent attempt catalog.`,
+      );
+    }
+    for (const point of item.points) {
+      const linkedEvidenceIds = selected.flatMap((attempt) =>
+        attempt.evidence
+          .filter((evidence) => evidence.point_id === point.point_id)
+          .map((evidence) => evidence.evidence_id),
+      );
+      if (!sameIds(point.evidence_ids, linkedEvidenceIds)) {
+        throw new CollectiveXDataError(`point ${point.point_id} has inconsistent evidence links.`);
+      }
+    }
+  }
+
+  for (const cohort of dataset.cohorts) {
+    if (cohort.series_ids.some((id) => !series.has(id))) {
+      throw new CollectiveXDataError(`cohort ${cohort.cohort_id} references unknown series.`);
+    }
+    const members = cohort.series_ids.map((id) => series.get(id)!);
+    const memberAllocations = members.flatMap((item) => item.allocation_ids);
+    const expectedTier = members.some((item) => item.publication_tier === 'comparable-experimental')
+      ? 'comparable-experimental'
+      : 'official';
+    if (
+      cohort.publication_tier !== expectedTier ||
+      !sameIds(cohort.eligibility.allocation_ids, memberAllocations)
+    ) {
+      throw new CollectiveXDataError(`cohort ${cohort.cohort_id} has inconsistent eligibility.`);
+    }
+  }
+
+  const declaredRankingLeaders = new Map<
+    string,
+    CollectiveXDataset['rankings'][number]['entries'][number]
+  >();
+  const rankingMetrics = new Set<string>();
+  for (const ranking of dataset.rankings) {
+    const cohort = cohorts.get(ranking.cohort_id);
+    if (!cohort) {
+      throw new CollectiveXDataError(`ranking ${ranking.ranking_id} references unknown cohort.`);
+    }
+    if (
+      !sameIds(
+        ranking.entries.map((entry) => entry.series_id),
+        cohort.series_ids,
+      )
+    ) {
+      throw new CollectiveXDataError(
+        `ranking ${ranking.ranking_id} does not reference its cohort.`,
+      );
+    }
+    const expectedObjective = ranking.metric.measure === 'latency_us' ? 'min' : 'max';
+    const expectedUnit = ranking.metric.measure === 'latency_us' ? 'us' : 'GB/s';
+    if (
+      ranking.publication_tier !== cohort.publication_tier ||
+      !cohort.eligibility.decision_grade ||
+      !sameValue(ranking.eligibility, cohort.eligibility) ||
+      ranking.metric.objective !== expectedObjective ||
+      ranking.entries.some(
+        (entry, index) => entry.rank !== index + 1 || entry.unit !== expectedUnit,
+      )
+    ) {
+      throw new CollectiveXDataError(`ranking ${ranking.ranking_id} has invalid metric metadata.`);
+    }
+    const metricKey = [
+      ranking.cohort_id,
+      ranking.metric.operation,
+      ranking.metric.phase,
+      ranking.metric.tokens_per_rank,
+      ranking.metric.measure,
+      ranking.metric.statistic,
+      ranking.metric.objective,
+    ].join('\0');
+    if (rankingMetrics.has(metricKey)) {
+      throw new CollectiveXDataError(`ranking ${ranking.ranking_id} duplicates a decision metric.`);
+    }
+    rankingMetrics.add(metricKey);
+    for (const entry of ranking.entries) {
+      const pointOwner = points.get(entry.point_id);
+      const measured = pointOwner ? metricValue(pointOwner.series, ranking.metric) : null;
+      if (
+        pointOwner?.series.series_id !== entry.series_id ||
+        !measured ||
+        measured.point.point_id !== entry.point_id
+      ) {
+        throw new CollectiveXDataError(
+          `ranking ${ranking.ranking_id} references an invalid point.`,
+        );
+      }
+      if (measured.unit !== entry.unit || !closeEnough(measured.value, entry.value)) {
+        throw new CollectiveXDataError(
+          `ranking ${ranking.ranking_id} differs from measured series data.`,
+        );
+      }
+    }
+    const declaredWinner = ranking.entries[0];
+    const winnerKey = [
+      ranking.cohort_id,
+      ranking.metric.measure,
+      ranking.metric.statistic,
+      declaredWinner.point_id,
+    ].join('\0');
+    declaredRankingLeaders.set(winnerKey, declaredWinner);
+  }
+
+  const recommendationKeys = new Set<string>();
+  for (const recommendation of dataset.recommendations) {
+    const cohort = cohorts.get(recommendation.cohort_id);
+    const [measure, statistic] = RECOMMENDATION_METRICS[recommendation.objective];
+    const declaredWinner = declaredRankingLeaders.get(
+      [recommendation.cohort_id, measure, statistic, recommendation.point_id].join('\0'),
+    );
+    const recommendationKey = [
+      recommendation.cohort_id,
+      recommendation.objective,
+      recommendation.point_id,
+    ].join('\0');
+    if (
+      recommendationKeys.has(recommendationKey) ||
+      !cohort ||
+      cohort.kind === 'routing' ||
+      cohort.publication_tier !== 'official' ||
+      !cohort.eligibility.decision_grade ||
+      !sameValue(recommendation.eligibility, cohort.eligibility) ||
+      !cohort.series_ids.includes(recommendation.series_id) ||
+      points.get(recommendation.point_id)?.series.series_id !== recommendation.series_id ||
+      declaredWinner?.series_id !== recommendation.series_id ||
+      declaredWinner.value !== recommendation.value ||
+      declaredWinner.unit !== recommendation.unit
+    ) {
+      throw new CollectiveXDataError(
+        `recommendation ${recommendation.recommendation_id} has invalid publication links.`,
+      );
+    }
+    recommendationKeys.add(recommendationKey);
+  }
+
+  const sensitivityKeys = new Set<string>();
+  for (const sensitivity of dataset.sensitivities) {
+    const cohort = cohorts.get(sensitivity.cohort_id);
+    const expectedObjective = sensitivity.metric.measure === 'latency_us' ? 'min' : 'max';
+    const sensitivityKey = [
+      sensitivity.cohort_id,
+      sensitivity.baseline_series_id,
+      sensitivity.candidate_series_id,
+      sensitivity.metric.operation,
+      sensitivity.metric.phase,
+      sensitivity.metric.tokens_per_rank,
+      sensitivity.metric.measure,
+      sensitivity.metric.statistic,
+      sensitivity.metric.objective,
+    ].join('\0');
+    if (
+      sensitivityKeys.has(sensitivityKey) ||
+      !cohort ||
+      cohort.kind !== 'routing' ||
+      !cohort.eligibility.decision_grade ||
+      sensitivity.publication_tier !== cohort.publication_tier ||
+      !sameValue(sensitivity.eligibility, cohort.eligibility) ||
+      sensitivity.metric.objective !== expectedObjective ||
+      sensitivity.baseline_series_id === sensitivity.candidate_series_id ||
+      !cohort.series_ids.includes(sensitivity.baseline_series_id) ||
+      !cohort.series_ids.includes(sensitivity.candidate_series_id) ||
+      ![sensitivity.baseline_series_id, sensitivity.candidate_series_id].every((seriesId) => {
+        const owner = series.get(seriesId);
+        return (
+          owner?.phase === sensitivity.metric.phase &&
+          owner.points.some((point) => point.tokens_per_rank === sensitivity.metric.tokens_per_rank)
+        );
+      })
+    ) {
+      throw new CollectiveXDataError(
+        `sensitivity ${sensitivity.sensitivity_id} has invalid publication links.`,
+      );
+    }
+    sensitivityKeys.add(sensitivityKey);
+  }
+  if (
+    dataset.promotion.status === 'quarantined' &&
+    [
+      dataset.source_bundle_ids,
+      dataset.promotion.allocation_ids,
+      dataset.coverage,
+      dataset.attempts,
+      dataset.series,
+      dataset.cohorts,
+      dataset.rankings,
+      dataset.recommendations,
+      dataset.sensitivities,
+    ].some((items) => items.length > 0)
+  ) {
+    throw new CollectiveXDataError('quarantined dataset exposes publication evidence.');
+  }
+  if (
+    dataset.promotion.status === 'promoted' &&
+    (dataset.rankings.length === 0 || dataset.recommendations.length === 0)
+  ) {
+    throw new CollectiveXDataError('promoted dataset lacks a complete decision graph.');
+  }
+}
+
+export function parseCollectiveXDataset(value: unknown): CollectiveXDataset {
+  const parsed = collectiveXDatasetSchema.safeParse(value);
+  if (!parsed.success) throw schemaError(parsed.error);
+  validateDatasetReferences(parsed.data);
+  return parsed.data;
+}
+
+async function responseOrThrow(url: string, options: RequestInit, name: string): Promise<Response> {
+  const response = await fetch(url, options);
+  if (response.ok) return response;
+  if (response.status === 503) {
+    const reason = response.headers.get('x-collectivex-status');
+    if (reason === 'source-unavailable') {
+      throw new CollectiveXDataError(reason, reason);
+    }
+    throw new CollectiveXDataError('store-unavailable', 'store-unavailable');
+  }
+  if (
+    name === 'channel' &&
+    response.status === 404 &&
+    response.headers.get('x-collectivex-status') === 'channel-unavailable'
+  ) {
+    throw new CollectiveXDataError('channel-unavailable', 'channel-unavailable');
+  }
+  throw new CollectiveXDataError(`${name} request failed (${response.status}).`);
+}
+
+export async function sha256Hex(bytes: Uint8Array<ArrayBuffer>): Promise<string> {
+  if (globalThis.crypto?.subtle) {
+    const digest = await globalThis.crypto.subtle.digest('SHA-256', bytes);
+    return bytesToHex(new Uint8Array(digest));
+  }
+  return bytesToHex(sha256(bytes));
+}
+
+export async function fetchCollectiveXPublication(
+  channelName: CollectiveXChannelName = 'dev-latest',
+  signal?: AbortSignal,
+  version: CollectiveXVersion = 'v1',
+): Promise<CollectiveXResolvedDataset> {
+  const channelResponse = await responseOrThrow(
+    collectiveXChannelUrl(channelName, version),
+    { cache: 'no-store', credentials: 'same-origin', signal },
+    'channel',
+  );
+  const channel = parseCollectiveXChannel(strictJson(await channelResponse.text(), 'channel'));
+  if (channel.channel !== channelName) {
+    throw new CollectiveXDataError('channel name does not match its path.');
+  }
+
+  const datasetResponse = await responseOrThrow(
+    `${collectiveXPublicRoot(version)}${channel.dataset.path}`,
+    { cache: 'force-cache', credentials: 'same-origin', signal },
+    'dataset',
+  );
+  const bytes = new Uint8Array(await datasetResponse.arrayBuffer());
+  if (bytes.byteLength !== channel.dataset.bytes) {
+    throw new CollectiveXDataError('dataset byte count does not match the channel pointer.');
+  }
+  const digest = await sha256Hex(bytes);
+  if (digest !== channel.dataset.sha256) {
+    throw new CollectiveXDataError('dataset SHA-256 does not match the channel pointer.');
+  }
+
+  let text: string;
+  try {
+    text = new TextDecoder('utf-8', { fatal: true }).decode(bytes);
+  } catch {
+    throw new CollectiveXDataError('dataset is not valid UTF-8 JSON.');
+  }
+  const dataset = parseCollectiveXDataset(strictJson(text, 'dataset'));
+  if (dataset.generated_at !== channel.generated_at) {
+    throw new CollectiveXDataError('dataset timestamp does not match the channel pointer.');
+  }
+  if (channelName === 'dev-latest' && dataset.promotion.status !== 'promoted') {
+    throw new CollectiveXDataError('dev-latest does not reference a promoted dataset.');
+  }
+  return { channel, dataset, digest };
+}
diff --git a/packages/app/src/components/collectivex/test-fixture.ts b/packages/app/src/components/collectivex/test-fixture.ts
new file mode 100644
index 000000000..69b1d47e5
--- /dev/null
+++ b/packages/app/src/components/collectivex/test-fixture.ts
@@ -0,0 +1,787 @@
+import type {
+  CollectiveXAttempt,
+  CollectiveXCoverage,
+  CollectiveXDataset,
+  CollectiveXEligibility,
+  CollectiveXMetric,
+  CollectiveXMode,
+  CollectiveXSeries,
+} from './types';
+
+function fixtureId(
+  kind:
+    | 'allocation'
+    | 'attempt'
+    | 'case'
+    | 'cohort'
+    | 'evidence'
+    | 'point'
+    | 'ranking'
+    | 'recommendation'
+    | 'sensitivity'
+    | 'series'
+    | 'work',
+  value: number,
+): string {
+  return `cx${kind}-v1-${value.toString(16).padStart(64, '0')}`;
+}
+
+const allocations = [1, 2, 3].map((value) => fixtureId('allocation', value));
+const decisionIds = {
+  libraryCohort: fixtureId('cohort', 1),
+  routingCohort: fixtureId('cohort', 2),
+  chipCohort: fixtureId('cohort', 3),
+  systemCohort: fixtureId('cohort', 4),
+  diagnosticLibraryCohort: fixtureId('cohort', 5),
+  rankings: Array.from({ length: 16 }, (_, index) => fixtureId('ranking', index + 1)),
+  recommendations: Array.from({ length: 16 }, (_, index) => fixtureId('recommendation', index + 1)),
+  sensitivities: Array.from({ length: 8 }, (_, index) => fixtureId('sensitivity', index + 1)),
+} as const;
+
+function attemptId(caseIndex: number, allocationIndex: number, ordinal: number): string {
+  return fixtureId('attempt', caseIndex * 100 + allocationIndex * 10 + ordinal);
+}
+function makeEligibility(): CollectiveXEligibility {
+  return {
+    decision_grade: true,
+    allocation_ids: [...allocations],
+    complete: true,
+    correct: true,
+    measured_roundtrip_p99: true,
+    stable_p50: true,
+    stable_p99: true,
+    stable_ordering: true,
+    p50_max_min_ratio: 1.05,
+    p99_max_min_ratio: 1.1,
+    reasons: [],
+  };
+}
+
+function component(base: number) {
+  const latency = { p50: base, p90: base + 10, p95: base + 15, p99: base + 20 };
+  const logicalBytes = 1_048_576;
+  return {
+    origin: 'measured' as const,
+    latency_us: latency,
+    logical_bytes: logicalBytes,
+    logical_payload_rate_gbps_at_latency_percentile: {
+      p50: logicalBytes / (latency.p50 * 1000),
+      p90: logicalBytes / (latency.p90 * 1000),
+      p95: logicalBytes / (latency.p95 * 1000),
+      p99: logicalBytes / (latency.p99 * 1000),
+    },
+    sample_count: 512,
+  };
+}
+
+function decisionMetricValue(
+  item: CollectiveXSeries,
+  metric: CollectiveXDataset['rankings'][number]['metric'],
+) {
+  const roundtrip = item.points[0].components.roundtrip!;
+  return metric.measure === 'latency_us'
+    ? roundtrip.latency_us[metric.statistic]
+    : roundtrip.logical_payload_rate_gbps_at_latency_percentile![metric.statistic];
+}
+
+function metricLabel(metric: CollectiveXMetric): string {
+  return metric.measure === 'latency_us'
+    ? `${metric.statistic} latency`
+    : `payload rate at ${metric.statistic} latency`;
+}
+
+function coverageTopology(series: CollectiveXSeries): CollectiveXCoverage['topology'] {
+  const system = series.system;
+  return {
+    ep_size: system.ep_size,
+    nodes: system.nodes,
+    gpus_per_node: system.gpus_per_node,
+    scale_up_domain: system.scale_up_domain,
+    scope: system.scope,
+    scale_up_transport: system.scale_up_transport,
+    scale_out_transport: system.scale_out_transport,
+    transport: system.transport,
+    topology_class: system.topology_class,
+  };
+}
+
+function makeSeries(
+  index: number,
+  backend: string,
+  latency: number,
+  { mode = 'normal', epSize = 8 }: { mode?: CollectiveXMode; epSize?: 8 | 16 } = {},
+): CollectiveXSeries {
+  const evidenceIds = allocations.map((_, allocationIndex) =>
+    fixtureId('evidence', index * 10 + allocationIndex),
+  );
+  const roundtrip = component(latency);
+  const globalTokens = 128 * epSize;
+  const scaleOut = epSize > 8;
+  const lowLatency = mode === 'low-latency';
+  return {
+    series_id: fixtureId('series', index),
+    label: `H100 EP${epSize} · ${backend} · BF16 · uniform${lowLatency ? ' low-latency' : ''}`,
+    status: 'decision-grade',
+    case_ids: [fixtureId('case', index)],
+    allocation_ids: [...allocations],
+    model: 'deepseek-v3-v1',
+    suite: lowLatency ? 'ep-low-latency-v1' : 'ep-core-v1',
+    mode,
+    publication_tier: 'official',
+    phase: 'decode',
+    backend: {
+      id: backend,
+      label: backend,
+      role: backend === 'nccl-ep' ? 'reference' : 'library',
+      generation: 'v1',
+      version: '1.0.0',
+    },
+    build: {
+      implementation_contract_sha256: backend === 'deepep' ? 'd'.repeat(64) : 'e'.repeat(64),
+      public_config_sha256: backend === 'deepep' ? '4'.repeat(64) : '5'.repeat(64),
+      routing_control_sha256: backend === 'deepep' ? 'a'.repeat(64) : 'b'.repeat(64),
+      runtime_fingerprint_sha256: backend === 'deepep' ? '7'.repeat(64) : '8'.repeat(64),
+      image_digest: `sha256:${backend === 'deepep' ? '1'.repeat(64) : '2'.repeat(64)}`,
+      source_sha: 'a'.repeat(40),
+      squash_sha256: backend === 'deepep' ? '3'.repeat(64) : '4'.repeat(64),
+    },
+    system: {
+      sku: 'h100',
+      label: 'NVIDIA H100 SXM',
+      vendor: 'nvidia',
+      topology_class: scaleOut ? 'h100-nvlink-rdma' : 'single-node-nvlink',
+      transport: scaleOut ? 'nvlink-rdma' : 'nvlink',
+      scale_up_transport: 'nvlink',
+      scale_out_transport: scaleOut ? 'rdma' : null,
+      scope: scaleOut ? 'scale-out' : 'scale-up',
+      nodes: scaleOut ? 2 : 1,
+      gpus_per_node: 8,
+      scale_up_domain: 8,
+      world_size: epSize,
+      ep_size: epSize,
+      placement: 'packed',
+    },
+    workload: {
+      workload_id: fixtureId('work', 1),
+      hidden: 7168,
+      top_k: 8,
+      experts: 256,
+      routing: 'uniform',
+      eplb: false,
+      dispatch_dtype: 'bf16',
+      combine_dtype: 'bf16',
+      activation_profile: 'canonical-counter-source-v3',
+    },
+    eplb: {
+      enabled: false,
+      planner: null,
+      mapping_sha256: null,
+      logical_experts: 256,
+      physical_experts: 256,
+      redundant_experts: 0,
+      reference_tokens_per_rank: null,
+      replicated_experts: 0,
+      max_replicas: null,
+      imbalance_before: null,
+      imbalance_after: null,
+    },
+    resource: {
+      mode: 'tuned',
+      profile: 'backend-default',
+      comm_units_kind: 'sm',
+      configured_units: 20,
+    },
+    measurement: {
+      contract: lowLatency ? 'expert-packed-weighted-combine-v1' : 'layout-and-dispatch-v1',
+      component_order_contract: lowLatency
+        ? 'roundtrip-dispatch-gate-weighted-combine-v1'
+        : 'roundtrip-dispatch-activation-only-combine-v2',
+      combine_semantics: lowLatency ? 'gate-weighted' : 'activation-only',
+      payload_unit: lowLatency ? 'token-expert' : 'token-rank',
+      sampling_contract: 'fixed-512-v1',
+      iters: 8,
+      trials: 64,
+      warmups: 32,
+      samples_per_component: 512,
+      headline_component: 'roundtrip',
+      headline_percentile: 'p99',
+    },
+    points: [
+      {
+        point_id: fixtureId('point', index),
+        tokens_per_rank: 128,
+        global_tokens: globalTokens,
+        correct: true,
+        routing: {
+          fanout_mean: 5.25,
+          recv_tokens_max: 740,
+          expert_load_cv: 0.12,
+          payload_rank_cv: 0.08,
+          hotspot_ratio: 1.4,
+          empty_expert_count: 0,
+          empty_rank_count: 0,
+          routed_copies: 5376,
+        },
+        components: {
+          dispatch: index === 1 ? component(30) : null,
+          combine: index === 1 ? component(40) : null,
+          roundtrip,
+          isolated_sum:
+            index === 1
+              ? {
+                  origin: 'derived',
+                  latency_us: { p50: 70, p90: 90, p95: 100, p99: 110 },
+                  logical_bytes: null,
+                  logical_payload_rate_gbps_at_latency_percentile: null,
+                  sample_count: null,
+                }
+              : null,
+        },
+        roundtrip_token_rate_at_latency_percentile: {
+          p50: globalTokens / (roundtrip.latency_us.p50 * 1e-6),
+          p90: globalTokens / (roundtrip.latency_us.p90 * 1e-6),
+          p95: globalTokens / (roundtrip.latency_us.p95 * 1e-6),
+          p99: globalTokens / (roundtrip.latency_us.p99 * 1e-6),
+        },
+        evidence_ids: evidenceIds,
+      },
+    ],
+    eligibility: makeEligibility(),
+  };
+}
+
+function successfulAttempts(item: CollectiveXSeries, caseIndex: number): CollectiveXAttempt[] {
+  return allocations.map((allocationId, allocationIndex) => ({
+    attempt_id: attemptId(caseIndex, allocationIndex + 1, 1),
+    evidence: [
+      {
+        evidence_id: item.points[0].evidence_ids[allocationIndex],
+        point_id: item.points[0].point_id,
+      },
+    ],
+    case_id: item.case_ids[0],
+    allocation_id: allocationId,
+    run_id: String(1000 + allocationIndex),
+    run_attempt: 1,
+    attempt_index: 1,
+    outcome: 'success',
+    failure_mode: null,
+    reason: null,
+    series_id: item.series_id,
+    selected: true,
+    completed_at: '2026-07-04T00:01:00Z',
+  }));
+}
+
+function seriesCoverage(
+  item: CollectiveXSeries,
+  retained: CollectiveXAttempt[],
+): CollectiveXCoverage {
+  const selected = retained.at(-1);
+  return {
+    case_id: item.case_ids[0],
+    label: `${item.backend.label} ${item.phase}`,
+    required: true,
+    disposition: 'runnable',
+    sku: item.system.sku,
+    backend: item.backend.id,
+    mode: item.mode,
+    phase: item.phase,
+    topology: coverageTopology(item),
+    selected_attempt_id: selected?.attempt_id ?? null,
+    outcome: selected?.outcome ?? 'invalid',
+    failure_mode: selected?.failure_mode ?? null,
+    reason: selected ? selected.reason : 'missing-selected-attempt',
+    attempt_ids: retained.map((attempt) => attempt.attempt_id),
+  };
+}
+
+export function makeCollectiveXDataset(): CollectiveXDataset {
+  const routingVariant = makeSeries(4, 'deepep', 110);
+  routingVariant.label = 'H100 EP8 · deepep · BF16 · zipf';
+  routingVariant.suite = 'ep-routing-v1';
+  routingVariant.publication_tier = 'comparable-experimental';
+  routingVariant.workload.routing = 'zipf';
+  routingVariant.points[0].routing = {
+    ...routingVariant.points[0].routing,
+    expert_load_cv: 0.72,
+    payload_rank_cv: 0.41,
+    hotspot_ratio: 4.8,
+    empty_expert_count: 37,
+  };
+  const routingEplbVariant = makeSeries(7, 'deepep', 90);
+  routingEplbVariant.label = 'H100 EP8 · deepep · BF16 · zipf+eplb';
+  routingEplbVariant.suite = 'ep-routing-v1';
+  routingEplbVariant.publication_tier = 'comparable-experimental';
+  routingEplbVariant.workload.routing = 'zipf';
+  routingEplbVariant.workload.eplb = true;
+  routingEplbVariant.build.implementation_contract_sha256 = 'f'.repeat(64);
+  routingEplbVariant.eplb = {
+    enabled: true,
+    planner: 'greedy-rank-major-v1',
+    mapping_sha256: 'f'.repeat(64),
+    logical_experts: 256,
+    physical_experts: 288,
+    redundant_experts: 32,
+    reference_tokens_per_rank: 2048,
+    replicated_experts: 24,
+    max_replicas: 3,
+    imbalance_before: 4.8,
+    imbalance_after: 1.2,
+  };
+  routingEplbVariant.points[0].routing = {
+    ...routingEplbVariant.points[0].routing,
+    expert_load_cv: 0.18,
+    payload_rank_cv: 0.13,
+    hotspot_ratio: 1.7,
+    empty_expert_count: 3,
+  };
+  const chipVariant = makeSeries(5, 'deepep', 70);
+  const systemVariant = makeSeries(6, 'nccl-ep', 130);
+  for (const item of [chipVariant, systemVariant]) {
+    item.label = `B200 EP8 · ${item.backend.id} · BF16 · uniform`;
+    item.system = {
+      ...item.system,
+      sku: 'b200',
+      label: 'NVIDIA B200 SXM',
+    };
+  }
+  const series = [
+    makeSeries(1, 'deepep', 80),
+    makeSeries(2, 'mori', 100),
+    makeSeries(3, 'nccl-ep', 150),
+    routingVariant,
+    chipVariant,
+    systemVariant,
+    routingEplbVariant,
+  ];
+  const metrics = (
+    ['latency_us', 'logical_payload_rate_gbps_at_latency_percentile'] as const
+  ).flatMap((measure) =>
+    (['p50', 'p99'] as const).map((statistic) => ({
+      operation: 'roundtrip' as const,
+      statistic,
+      measure,
+      objective: measure === 'latency_us' ? ('min' as const) : ('max' as const),
+      tokens_per_rank: 128,
+      phase: 'decode' as const,
+    })),
+  );
+  const attempts = series.flatMap((item, seriesIndex) => successfulAttempts(item, seriesIndex + 1));
+  const unsupportedCaseId = fixtureId('case', 8);
+  const unsupportedAttempts: CollectiveXAttempt[] = allocations.map(
+    (allocationId, allocationIndex) => ({
+      attempt_id: attemptId(8, allocationIndex + 1, 1),
+      evidence: [],
+      case_id: unsupportedCaseId,
+      allocation_id: allocationId,
+      run_id: String(1000 + allocationIndex),
+      run_attempt: 1,
+      attempt_index: 1,
+      outcome: 'unsupported',
+      failure_mode: 'capability',
+      reason: 'backend-platform-unsupported',
+      series_id: null,
+      selected: true,
+      completed_at: '2026-07-04T00:01:00Z',
+    }),
+  );
+  attempts.push(...unsupportedAttempts);
+  const cohortId = decisionIds.libraryCohort;
+  const routingCohortId = decisionIds.routingCohort;
+  const cohortMembers = [
+    series.slice(0, 2),
+    [series[0], routingVariant, routingEplbVariant],
+    [series[0], chipVariant],
+    [series[2], systemVariant],
+  ];
+  const cohortIds = [
+    cohortId,
+    routingCohortId,
+    decisionIds.chipCohort,
+    decisionIds.systemCohort,
+  ] as const;
+  const cohortLabels = ['Library', 'Routing', 'Chip', 'System'];
+  const rankings: CollectiveXDataset['rankings'] = cohortMembers
+    .flatMap((members, cohortIndex) =>
+      metrics.map((metric, metricIndex) => ({
+        ranking_id: decisionIds.rankings[cohortIndex * metrics.length + metricIndex],
+        cohort_id: cohortIds[cohortIndex],
+        label: `${cohortLabels[cohortIndex]} ${metricLabel(metric)} T=128`,
+        publication_tier:
+          cohortIndex === 1 ? ('comparable-experimental' as const) : ('official' as const),
+        metric,
+        entries: members
+          .toSorted((left, right) => {
+            const delta = decisionMetricValue(left, metric) - decisionMetricValue(right, metric);
+            return metric.objective === 'min' ? delta : -delta;
+          })
+          .map((item, index) => ({
+            rank: index + 1,
+            series_id: item.series_id,
+            point_id: item.points[0].point_id,
+            value: decisionMetricValue(item, metric),
+            unit: metric.measure === 'latency_us' ? ('us' as const) : ('GB/s' as const),
+          })),
+        eligibility: makeEligibility(),
+      })),
+    )
+    .toSorted((left, right) => left.ranking_id.localeCompare(right.ranking_id));
+  const recommendations: CollectiveXDataset['recommendations'] = rankings
+    .filter(
+      (
+        ranking,
+      ): ranking is CollectiveXDataset['rankings'][number] & {
+        publication_tier: 'official';
+      } => ranking.publication_tier === 'official',
+    )
+    .map((ranking) => {
+      const idIndex = cohortIds.indexOf(ranking.cohort_id as (typeof cohortIds)[number]);
+      const metricIndex = metrics.findIndex(
+        (metric) =>
+          metric.measure === ranking.metric.measure &&
+          metric.statistic === ranking.metric.statistic,
+      );
+      const top = ranking.entries[0];
+      const objective: CollectiveXDataset['recommendations'][number]['objective'] =
+        ranking.metric.measure === 'latency_us'
+          ? `min-${ranking.metric.statistic}-latency`
+          : `max-payload-rate-at-${ranking.metric.statistic}-latency`;
+      return {
+        recommendation_id: decisionIds.recommendations[idIndex * metrics.length + metricIndex],
+        cohort_id: ranking.cohort_id,
+        label: `Best ${metricLabel(ranking.metric)} at T=128`,
+        objective,
+        publication_tier: ranking.publication_tier,
+        series_id: top.series_id,
+        point_id: top.point_id,
+        value: top.value,
+        unit: top.unit,
+        rationale: 'Top stable measured roundtrip result in a controlled cohort',
+        eligibility: makeEligibility(),
+      };
+    })
+    .toSorted((left, right) => left.recommendation_id.localeCompare(right.recommendation_id));
+  const sensitivities: CollectiveXDataset['sensitivities'] = [routingVariant, routingEplbVariant]
+    .flatMap((candidate, candidateIndex) =>
+      metrics.map((metric, metricIndex) => ({
+        sensitivity_id: decisionIds.sensitivities[candidateIndex * metrics.length + metricIndex],
+        cohort_id: routingCohortId,
+        label: `Routing sensitivity: ${metricLabel(metric)} T=128`,
+        publication_tier: 'comparable-experimental' as const,
+        baseline_series_id: series[0].series_id,
+        candidate_series_id: candidate.series_id,
+        metric,
+        signed_change_ratio:
+          (decisionMetricValue(candidate, metric) - decisionMetricValue(series[0], metric)) /
+          decisionMetricValue(series[0], metric),
+        eligibility: makeEligibility(),
+      })),
+    )
+    .toSorted((left, right) => left.sensitivity_id.localeCompare(right.sensitivity_id));
+  const coverage = series.map((item) =>
+    seriesCoverage(
+      item,
+      attempts.filter((attempt) => attempt.case_id === item.case_ids[0]),
+    ),
+  );
+  coverage.push({
+    case_id: unsupportedCaseId,
+    label: 'MI355X / DeepEP / unsupported',
+    required: true,
+    disposition: 'unsupported',
+    sku: 'mi355x',
+    backend: 'deepep',
+    mode: 'normal',
+    phase: 'decode',
+    topology: {
+      ep_size: 16,
+      nodes: 2,
+      gpus_per_node: 8,
+      scale_up_domain: 8,
+      scope: 'scale-out',
+      scale_up_transport: 'xgmi',
+      scale_out_transport: 'rdma',
+      transport: 'xgmi-rdma',
+      topology_class: 'mi355x-xgmi-rdma',
+    },
+    selected_attempt_id: unsupportedAttempts.at(-1)!.attempt_id,
+    outcome: 'unsupported',
+    failure_mode: 'capability',
+    reason: 'backend-platform-unsupported',
+    attempt_ids: unsupportedAttempts.map((attempt) => attempt.attempt_id),
+  });
+  const orderedAttempts = attempts.toSorted((left, right) =>
+    left.attempt_id.localeCompare(right.attempt_id),
+  );
+  return {
+    format: 'collectivex.public.v1',
+    schema_version: 1,
+    generated_at: '2026-07-04T01:00:00Z',
+    source_bundle_ids: ['a'.repeat(64), 'b'.repeat(64), 'c'.repeat(64)],
+    promotion: {
+      status: 'promoted',
+      matrix_id: '5'.repeat(64),
+      allocation_ids: [...allocations],
+      required_allocations: 3,
+      requested_cases: 8,
+      terminal_cases: 8,
+      policy: 'collectivex-decision-grade-v1',
+      reason: null,
+    },
+    coverage,
+    attempts: orderedAttempts,
+    series,
+    cohorts: [
+      {
+        cohort_id: cohortId,
+        kind: 'library' as const,
+        label: 'H100 EP8 library comparison',
+        description: 'Matched H100 EP8 uniform-routing library contrast',
+        publication_tier: 'official' as const,
+        series_ids: series.slice(0, 2).map((item) => item.series_id),
+        controlled_factors: [
+          'system',
+          'workload',
+          'mode',
+          'phase',
+          'measurement',
+          'resource.mode',
+          'source',
+        ],
+        varying_factors: ['backend', 'resource'],
+        eligibility: makeEligibility(),
+      },
+      {
+        cohort_id: routingCohortId,
+        kind: 'routing' as const,
+        label: 'H100 EP8 routing comparison',
+        description: 'Matched H100 EP8 routing contrast',
+        publication_tier: 'comparable-experimental' as const,
+        series_ids: [series[0].series_id, routingVariant.series_id, routingEplbVariant.series_id],
+        controlled_factors: [
+          'backend',
+          'implementation-static-build',
+          'system',
+          'model-shape',
+          'mode',
+          'phase',
+          'measurement',
+          'resource',
+        ],
+        varying_factors: ['workload.routing', 'workload.eplb', 'implementation-config'],
+        eligibility: makeEligibility(),
+      },
+      {
+        cohort_id: decisionIds.chipCohort,
+        kind: 'chip' as const,
+        label: 'NVIDIA chip comparison',
+        description: 'Matched H100 and B200 DeepEP contrast',
+        publication_tier: 'official' as const,
+        series_ids: [series[0].series_id, chipVariant.series_id],
+        controlled_factors: [
+          'backend',
+          'source',
+          'workload',
+          'mode',
+          'phase',
+          'measurement',
+          'resource.mode',
+        ],
+        varying_factors: ['system', 'resource'],
+        eligibility: makeEligibility(),
+      },
+      {
+        cohort_id: decisionIds.systemCohort,
+        kind: 'system' as const,
+        label: 'NVIDIA reference system comparison',
+        description: 'Matched H100 and B200 NCCL reference contrast',
+        publication_tier: 'official' as const,
+        series_ids: [series[2].series_id, systemVariant.series_id],
+        controlled_factors: ['workload', 'mode', 'phase', 'measurement', 'source'],
+        varying_factors: ['system', 'backend', 'resource'],
+        eligibility: makeEligibility(),
+      },
+    ].toSorted((left, right) => left.cohort_id.localeCompare(right.cohort_id)),
+    rankings,
+    recommendations,
+    sensitivities,
+  };
+}
+
+export function makeCollectiveXDatasetWithPrefillCohort(): CollectiveXDataset {
+  const dataset = makeCollectiveXDataset();
+  const decode = dataset.cohorts.find((item) => item.cohort_id === decisionIds.libraryCohort)!;
+  const byId = new Map(dataset.series.map((item) => [item.series_id, item]));
+  const prefill = decode.series_ids.map((seriesId, index) => {
+    const item = structuredClone(byId.get(seriesId)!);
+    item.series_id = fixtureId('series', 20 + index);
+    item.case_ids = [fixtureId('case', 20 + index)];
+    item.label = item.label.replace('uniform', 'uniform prefill');
+    item.phase = 'prefill';
+    item.points[0].point_id = fixtureId('point', 20 + index);
+    item.points[0].tokens_per_rank = 512;
+    item.points[0].global_tokens = 4096;
+    item.points[0].evidence_ids = allocations.map((_, allocationIndex) =>
+      fixtureId('evidence', 200 + index * 10 + allocationIndex),
+    );
+    return item;
+  });
+  dataset.series.push(...prefill);
+  const prefillCohort = {
+    ...structuredClone(decode),
+    cohort_id: fixtureId('cohort', 20),
+    label: 'H100 EP8 prefill library comparison',
+    description: 'Matched H100 EP8 prefill library contrast',
+    series_ids: prefill.map((item) => item.series_id),
+  };
+  dataset.cohorts.push(prefillCohort);
+  for (const [index, item] of prefill.entries()) {
+    const retained = successfulAttempts(item, 20 + index);
+    dataset.attempts.push(...retained);
+    dataset.coverage.push(seriesCoverage(item, retained));
+  }
+  const decodeRankings = dataset.rankings.filter((item) => item.cohort_id === decode.cohort_id);
+  const prefillRankings = decodeRankings.map((ranking, index) => {
+    const metric = { ...ranking.metric, tokens_per_rank: 512, phase: 'prefill' as const };
+    return {
+      ...structuredClone(ranking),
+      ranking_id: fixtureId('ranking', 20 + index),
+      cohort_id: prefillCohort.cohort_id,
+      label: ranking.label.replace('T=128', 'T=512').replace('Library', 'Prefill library'),
+      metric,
+      entries: prefill
+        .toSorted((left, right) => {
+          const delta = decisionMetricValue(left, metric) - decisionMetricValue(right, metric);
+          return metric.objective === 'min' ? delta : -delta;
+        })
+        .map((item, entryIndex) => ({
+          rank: entryIndex + 1,
+          series_id: item.series_id,
+          point_id: item.points[0].point_id,
+          value: decisionMetricValue(item, metric),
+          unit: metric.measure === 'latency_us' ? ('us' as const) : ('GB/s' as const),
+        })),
+    };
+  });
+  dataset.rankings.push(...prefillRankings);
+  dataset.recommendations.push(
+    ...prefillRankings.map((ranking, index) => {
+      const top = ranking.entries[0];
+      return {
+        recommendation_id: fixtureId('recommendation', 20 + index),
+        cohort_id: prefillCohort.cohort_id,
+        label: `Best ${metricLabel(ranking.metric)} at T=512`,
+        objective:
+          ranking.metric.measure === 'latency_us'
+            ? (`min-${ranking.metric.statistic}-latency` as const)
+            : (`max-payload-rate-at-${ranking.metric.statistic}-latency` as const),
+        publication_tier: 'official' as const,
+        series_id: top.series_id,
+        point_id: top.point_id,
+        value: top.value,
+        unit: top.unit,
+        rationale: 'Top stable measured roundtrip result in a controlled cohort',
+        eligibility: makeEligibility(),
+      };
+    }),
+  );
+  dataset.promotion.requested_cases += prefill.length;
+  dataset.promotion.terminal_cases += prefill.length;
+  return dataset;
+}
+
+export function makeCollectiveXContractDataset(): CollectiveXDataset {
+  const dataset = makeCollectiveXDataset();
+  const series = makeSeries(30, 'deepep', 60, { mode: 'low-latency', epSize: 16 });
+  const attempts = successfulAttempts(series, 30);
+  dataset.series.push(series);
+  dataset.attempts.push(...attempts);
+  dataset.coverage.push(seriesCoverage(series, attempts));
+  dataset.promotion.requested_cases += 1;
+  dataset.promotion.terminal_cases += 1;
+  return dataset;
+}
+
+export function makeCollectiveXDiagnosticDataset(): CollectiveXDataset {
+  const dataset = makeCollectiveXDataset();
+  const series = dataset.series.find((item) => item.backend.role === 'reference')!;
+  series.status = 'diagnostic';
+  const allocationId = series.allocation_ids[0];
+  const evidenceId = series.points[0].evidence_ids[0];
+  series.allocation_ids = [allocationId];
+  series.points[0].evidence_ids = [evidenceId];
+  series.eligibility = {
+    decision_grade: false,
+    allocation_ids: [allocationId],
+    complete: false,
+    correct: true,
+    measured_roundtrip_p99: true,
+    stable_p50: false,
+    stable_p99: false,
+    stable_ordering: false,
+    p50_max_min_ratio: null,
+    p99_max_min_ratio: null,
+    reasons: ['awaiting-repeat-allocations'],
+  };
+  const attempt = dataset.attempts.find(
+    (item) => item.series_id === series.series_id && item.allocation_id === allocationId,
+  )!;
+  attempt.attempt_id = attemptId(3, 1, 2);
+  attempt.attempt_index = 2;
+  const failedAttempt: CollectiveXAttempt = {
+    attempt_id: attemptId(3, 1, 1),
+    evidence: [],
+    case_id: attempt.case_id,
+    allocation_id: attempt.allocation_id,
+    run_id: attempt.run_id,
+    run_attempt: attempt.run_attempt,
+    attempt_index: 1,
+    outcome: 'failed',
+    failure_mode: 'timeout',
+    reason: 'execution-timeout',
+    series_id: null,
+    selected: false,
+    completed_at: '2026-07-04T00:00:30Z',
+  };
+  const coverage = dataset.coverage.find((item) => item.case_id === series.case_ids[0])!;
+  coverage.attempt_ids = [failedAttempt.attempt_id, attempt.attempt_id].toSorted();
+  coverage.selected_attempt_id = attempt.attempt_id;
+  dataset.promotion = {
+    ...dataset.promotion,
+    status: 'diagnostic',
+    allocation_ids: [allocationId],
+    requested_cases: 1,
+    terminal_cases: 1,
+  };
+  dataset.source_bundle_ids = [dataset.source_bundle_ids[0]];
+  dataset.coverage = [coverage];
+  dataset.attempts = [failedAttempt, attempt].toSorted((left, right) =>
+    left.attempt_id.localeCompare(right.attempt_id),
+  );
+  dataset.series = [series];
+  dataset.cohorts = [];
+  dataset.rankings = [];
+  dataset.recommendations = [];
+  dataset.sensitivities = [];
+  return dataset;
+}
+
+export function makeCollectiveXDatasetWithDiagnosticCohort(): CollectiveXDataset {
+  const dataset = makeCollectiveXDataset();
+  const eligible = dataset.cohorts.find((item) => item.kind === 'library')!;
+  const cohort = {
+    ...eligible,
+    cohort_id: decisionIds.diagnosticLibraryCohort,
+    series_ids: eligible.series_ids.toReversed(),
+    eligibility: {
+      ...eligible.eligibility,
+      decision_grade: false,
+      stable_ordering: false,
+      reasons: ['unstable-ordering'],
+    },
+  };
+  dataset.cohorts.push(cohort);
+  dataset.cohorts.sort((left, right) => left.cohort_id.localeCompare(right.cohort_id));
+  return dataset;
+}
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
new file mode 100644
index 000000000..8c3bdfa02
--- /dev/null
+++ b/packages/app/src/components/collectivex/types.ts
@@ -0,0 +1,373 @@
+import { z } from 'zod';
+
+export type CollectiveXPhase = 'decode' | 'prefill';
+export const COLLECTIVEX_VERSIONS = ['v1'] as const;
+export type CollectiveXVersion = (typeof COLLECTIVEX_VERSIONS)[number];
+export type CollectiveXMode = 'normal' | 'low-latency';
+export type CollectiveXTopologyScope = 'scale-up' | 'scale-out';
+export type CollectiveXOperation = 'dispatch' | 'combine' | 'roundtrip' | 'isolated-sum';
+export type CollectiveXPercentile = 'p50' | 'p90' | 'p95' | 'p99';
+export type CollectiveXXAxis = 'tokens-per-rank' | 'global-tokens';
+export type CollectiveXYAxis = 'latency' | 'tokens-per-second' | 'payload-rate';
+export type CollectiveXScale = 'log' | 'linear';
+
+const hex64 = z.string().regex(/^[a-f0-9]{64}$/);
+const sourceHash = z.string().regex(/^[a-f0-9]{40,64}$/);
+const typedId = (kind: string) => z.string().regex(new RegExp(`^cx${kind}-v1-[a-f0-9]{64}$`));
+const safeId = z
+  .string()
+  .max(128)
+  .regex(/^[a-z0-9][a-z0-9_.-]*$/);
+const label = z.string().min(1).max(160);
+const reason = z
+  .string()
+  .max(96)
+  .regex(/^[a-z0-9][a-z0-9.-]*$/)
+  .nullable();
+const timestamp = z.iso.datetime({ offset: true });
+const positiveInteger = z.number().int().safe().positive();
+const nonnegativeInteger = z.number().int().safe().nonnegative();
+const publicationTier = z.enum(['official', 'comparable-experimental']);
+const mode = z.enum(['normal', 'low-latency']);
+const topologyScope = z.enum(['scale-up', 'scale-out']);
+const unique = <T>(schema: z.ZodType<T>) =>
+  z.array(schema).refine((items) => new Set(items).size === items.length, 'duplicate values');
+
+export const collectiveXChannelSchema = z.strictObject({
+  format: z.literal('collectivex.channel.v1'),
+  channel: z.enum(['latest-attempt', 'dev-latest']),
+  generated_at: timestamp,
+  dataset: z.strictObject({
+    path: z.string().regex(/^datasets\/[a-f0-9]{64}\/dataset\.json$/),
+    sha256: hex64,
+    bytes: positiveInteger.max(32 * 1024 * 1024),
+  }),
+});
+
+const percentilesSchema = z.strictObject({
+  p50: z.number().finite().positive(),
+  p90: z.number().finite().positive(),
+  p95: z.number().finite().positive(),
+  p99: z.number().finite().positive(),
+});
+const componentSchema = z.strictObject({
+  origin: z.enum(['measured', 'derived']),
+  latency_us: percentilesSchema,
+  logical_bytes: positiveInteger.nullable(),
+  logical_payload_rate_gbps_at_latency_percentile: percentilesSchema.nullable(),
+  sample_count: positiveInteger.nullable(),
+});
+const routingEvidenceSchema = z.strictObject({
+  fanout_mean: z.number().finite().nonnegative(),
+  recv_tokens_max: nonnegativeInteger,
+  expert_load_cv: z.number().finite().nonnegative(),
+  payload_rank_cv: z.number().finite().nonnegative(),
+  hotspot_ratio: z.number().finite().nonnegative(),
+  empty_expert_count: nonnegativeInteger,
+  empty_rank_count: nonnegativeInteger,
+  routed_copies: positiveInteger,
+});
+const eligibilitySchema = z
+  .strictObject({
+    decision_grade: z.boolean(),
+    allocation_ids: unique(typedId('allocation')),
+    complete: z.boolean(),
+    correct: z.boolean(),
+    measured_roundtrip_p99: z.boolean(),
+    stable_p50: z.boolean(),
+    stable_p99: z.boolean(),
+    stable_ordering: z.boolean(),
+    p50_max_min_ratio: z.number().finite().min(1).nullable(),
+    p99_max_min_ratio: z.number().finite().min(1).nullable(),
+    reasons: unique(reason.unwrap()),
+  })
+  .refine((value) => value.decision_grade === (value.reasons.length === 0), {
+    path: ['reasons'],
+    message:
+      'decision-grade eligibility must have no reasons; diagnostic eligibility must have reasons',
+  });
+const coverageTopologySchema = z.strictObject({
+  ep_size: positiveInteger,
+  nodes: positiveInteger,
+  gpus_per_node: positiveInteger,
+  scale_up_domain: positiveInteger,
+  scope: topologyScope,
+  scale_up_transport: safeId,
+  scale_out_transport: safeId.nullable(),
+  transport: safeId,
+  topology_class: safeId,
+});
+const pointSchema = z.strictObject({
+  point_id: typedId('point'),
+  tokens_per_rank: positiveInteger,
+  global_tokens: positiveInteger,
+  correct: z.boolean(),
+  routing: routingEvidenceSchema,
+  components: z.strictObject({
+    dispatch: componentSchema.nullable(),
+    combine: componentSchema.nullable(),
+    roundtrip: componentSchema.nullable(),
+    isolated_sum: componentSchema.nullable(),
+  }),
+  roundtrip_token_rate_at_latency_percentile: percentilesSchema,
+  evidence_ids: unique(typedId('evidence')),
+});
+const seriesSchema = z.strictObject({
+  series_id: typedId('series'),
+  label,
+  status: z.enum(['decision-grade', 'diagnostic']),
+  case_ids: unique(typedId('case')).min(1),
+  allocation_ids: unique(typedId('allocation')).min(1),
+  model: safeId,
+  suite: safeId,
+  mode,
+  publication_tier: publicationTier,
+  phase: z.enum(['decode', 'prefill']),
+  backend: z.strictObject({
+    id: safeId,
+    label,
+    role: z.enum(['library', 'reference']),
+    generation: label.nullable(),
+    version: label.nullable(),
+  }),
+  build: z.strictObject({
+    implementation_contract_sha256: hex64,
+    public_config_sha256: hex64,
+    routing_control_sha256: hex64,
+    runtime_fingerprint_sha256: hex64,
+    image_digest: z.string().regex(/^sha256:[a-f0-9]{64}$/),
+    source_sha: sourceHash,
+    squash_sha256: hex64,
+  }),
+  system: z.strictObject({
+    sku: safeId,
+    label,
+    vendor: z.enum(['nvidia', 'amd']),
+    topology_class: safeId,
+    transport: safeId,
+    scale_up_transport: safeId,
+    scale_out_transport: safeId.nullable(),
+    scope: topologyScope,
+    nodes: positiveInteger,
+    gpus_per_node: positiveInteger,
+    scale_up_domain: positiveInteger,
+    world_size: positiveInteger,
+    ep_size: positiveInteger,
+    placement: z.literal('packed'),
+  }),
+  workload: z.strictObject({
+    workload_id: typedId('work'),
+    hidden: positiveInteger,
+    top_k: positiveInteger,
+    experts: positiveInteger,
+    routing: z.enum(['uniform', 'zipf']),
+    eplb: z.boolean(),
+    dispatch_dtype: z.literal('bf16'),
+    combine_dtype: z.literal('bf16'),
+    activation_profile: z.literal('canonical-counter-source-v3'),
+  }),
+  eplb: z.strictObject({
+    enabled: z.boolean(),
+    planner: label.nullable(),
+    mapping_sha256: hex64.nullable(),
+    logical_experts: positiveInteger,
+    physical_experts: positiveInteger,
+    redundant_experts: nonnegativeInteger,
+    reference_tokens_per_rank: positiveInteger.nullable(),
+    replicated_experts: nonnegativeInteger,
+    max_replicas: nonnegativeInteger.nullable(),
+    imbalance_before: z.number().finite().nonnegative().nullable(),
+    imbalance_after: z.number().finite().nonnegative().nullable(),
+  }),
+  resource: z.strictObject({
+    mode: z.literal('tuned'),
+    profile: safeId,
+    comm_units_kind: label.nullable(),
+    configured_units: positiveInteger.nullable(),
+  }),
+  measurement: z.strictObject({
+    contract: z.enum(['layout-and-dispatch-v1', 'expert-packed-weighted-combine-v1']),
+    component_order_contract: z.enum([
+      'roundtrip-dispatch-activation-only-combine-v2',
+      'roundtrip-dispatch-gate-weighted-combine-v1',
+    ]),
+    combine_semantics: z.enum(['activation-only', 'gate-weighted']),
+    payload_unit: z.enum(['token-rank', 'token-expert']),
+    sampling_contract: z.literal('fixed-512-v1'),
+    iters: z.literal(8),
+    trials: z.literal(64),
+    warmups: z.literal(32),
+    samples_per_component: z.literal(512),
+    headline_component: z.literal('roundtrip'),
+    headline_percentile: z.literal('p99'),
+  }),
+  points: z.array(pointSchema).min(1),
+  eligibility: eligibilitySchema,
+});
+const outcome = z.enum(['success', 'unsupported', 'failed', 'invalid', 'diagnostic']);
+const coverageSchema = z.strictObject({
+  case_id: typedId('case'),
+  label,
+  required: z.boolean(),
+  disposition: z.enum(['runnable', 'unsupported']),
+  sku: safeId,
+  backend: safeId,
+  mode,
+  phase: z.enum(['decode', 'prefill']),
+  topology: coverageTopologySchema,
+  selected_attempt_id: typedId('attempt').nullable(),
+  outcome,
+  failure_mode: reason,
+  reason,
+  attempt_ids: unique(typedId('attempt')),
+});
+const attemptSchema = z.strictObject({
+  attempt_id: typedId('attempt'),
+  evidence: z
+    .array(
+      z.strictObject({
+        evidence_id: typedId('evidence'),
+        point_id: typedId('point'),
+      }),
+    )
+    .refine(
+      (items) =>
+        new Set(items.map((item) => `${item.evidence_id}\0${item.point_id}`)).size === items.length,
+      'duplicate evidence items',
+    ),
+  case_id: typedId('case'),
+  allocation_id: typedId('allocation'),
+  run_id: z.string().regex(/^[1-9][0-9]*$/),
+  run_attempt: positiveInteger,
+  attempt_index: positiveInteger,
+  outcome,
+  failure_mode: reason,
+  reason,
+  series_id: typedId('series').nullable(),
+  selected: z.boolean(),
+  completed_at: timestamp.nullable(),
+});
+const metricSchema = z.strictObject({
+  operation: z.literal('roundtrip'),
+  statistic: z.enum(['p50', 'p99']),
+  measure: z.enum(['latency_us', 'logical_payload_rate_gbps_at_latency_percentile']),
+  objective: z.enum(['min', 'max']),
+  tokens_per_rank: positiveInteger,
+  phase: z.enum(['decode', 'prefill']),
+});
+const cohortSchema = z.strictObject({
+  cohort_id: typedId('cohort'),
+  kind: z.enum(['library', 'chip', 'system', 'routing']),
+  label,
+  description: label,
+  publication_tier: publicationTier,
+  series_ids: unique(typedId('series')).min(2),
+  controlled_factors: unique(safeId).min(1),
+  varying_factors: unique(safeId).min(1),
+  eligibility: eligibilitySchema,
+});
+const rankingSchema = z.strictObject({
+  ranking_id: typedId('ranking'),
+  cohort_id: typedId('cohort'),
+  label,
+  publication_tier: publicationTier,
+  metric: metricSchema,
+  entries: z
+    .array(
+      z.strictObject({
+        rank: positiveInteger,
+        series_id: typedId('series'),
+        point_id: typedId('point'),
+        value: z.number().finite().positive(),
+        unit: z.enum(['us', 'GB/s']),
+      }),
+    )
+    .min(2),
+  eligibility: eligibilitySchema,
+});
+const recommendationSchema = z.strictObject({
+  recommendation_id: typedId('recommendation'),
+  cohort_id: typedId('cohort'),
+  label,
+  objective: z.enum([
+    'min-p50-latency',
+    'min-p99-latency',
+    'max-payload-rate-at-p50-latency',
+    'max-payload-rate-at-p99-latency',
+  ]),
+  publication_tier: z.literal('official'),
+  series_id: typedId('series'),
+  point_id: typedId('point'),
+  value: z.number().finite().positive(),
+  unit: z.enum(['us', 'GB/s']),
+  rationale: label,
+  eligibility: eligibilitySchema,
+});
+const sensitivitySchema = z.strictObject({
+  sensitivity_id: typedId('sensitivity'),
+  cohort_id: typedId('cohort'),
+  label,
+  publication_tier: publicationTier,
+  baseline_series_id: typedId('series'),
+  candidate_series_id: typedId('series'),
+  metric: metricSchema,
+  signed_change_ratio: z.number().finite(),
+  eligibility: eligibilitySchema,
+});
+
+export const collectiveXDatasetSchema = z.strictObject({
+  format: z.literal('collectivex.public.v1'),
+  schema_version: z.literal(1),
+  generated_at: timestamp,
+  source_bundle_ids: unique(hex64),
+  promotion: z.strictObject({
+    status: z.enum(['promoted', 'diagnostic', 'quarantined']),
+    reason,
+    matrix_id: hex64.nullable(),
+    allocation_ids: unique(typedId('allocation')),
+    required_allocations: z.literal(3),
+    requested_cases: nonnegativeInteger,
+    terminal_cases: nonnegativeInteger,
+    policy: z.literal('collectivex-decision-grade-v1'),
+  }),
+  coverage: z.array(coverageSchema),
+  attempts: z.array(attemptSchema),
+  series: z.array(seriesSchema),
+  cohorts: z.array(cohortSchema),
+  rankings: z.array(rankingSchema),
+  recommendations: z.array(recommendationSchema),
+  sensitivities: z.array(sensitivitySchema),
+});
+
+export type CollectiveXChannel = z.infer<typeof collectiveXChannelSchema>;
+export type CollectiveXDataset = z.infer<typeof collectiveXDatasetSchema>;
+export type CollectiveXComponent = z.infer<typeof componentSchema>;
+export type CollectiveXPoint = z.infer<typeof pointSchema>;
+export type CollectiveXSeries = z.infer<typeof seriesSchema>;
+export type CollectiveXCoverage = z.infer<typeof coverageSchema>;
+export type CollectiveXCoverageTopology = z.infer<typeof coverageTopologySchema>;
+export type CollectiveXAttempt = z.infer<typeof attemptSchema>;
+export type CollectiveXEligibility = z.infer<typeof eligibilitySchema>;
+export type CollectiveXMetric = z.infer<typeof metricSchema>;
+export type CollectiveXCohort = z.infer<typeof cohortSchema>;
+export type CollectiveXRanking = z.infer<typeof rankingSchema>;
+export type CollectiveXRecommendation = z.infer<typeof recommendationSchema>;
+export type CollectiveXSensitivity = z.infer<typeof sensitivitySchema>;
+export type CollectiveXOutcome = z.infer<typeof outcome>;
+export type CollectiveXPublicationTier = z.infer<typeof publicationTier>;
+export interface CollectiveXResolvedDataset {
+  channel: CollectiveXChannel;
+  dataset: CollectiveXDataset;
+  digest: string;
+}
+export interface CollectiveXChartPoint {
+  seriesId: string;
+  seriesLabel: string;
+  colorKey: string;
+  x: number;
+  y: number;
+  operation: CollectiveXOperation;
+  percentile: CollectiveXPercentile;
+  point: CollectiveXPoint;
+  series: CollectiveXSeries;
+}
diff --git a/packages/app/src/components/dashboard-shell.tsx b/packages/app/src/components/dashboard-shell.tsx
index 17eb13868..d44ff8432 100644
--- a/packages/app/src/components/dashboard-shell.tsx
+++ b/packages/app/src/components/dashboard-shell.tsx
@@ -4,8 +4,19 @@ import { GlobalFilterProvider } from '@/components/GlobalFilterContext';
 import { NudgeEngine } from '@/components/nudge-engine';
 import { TabNav } from '@/components/tab-nav';
 import { UnofficialRunProvider } from '@/components/unofficial-run-provider';
+import { usePathname } from 'next/navigation';
 
 export function DashboardShell({ children }: { children: React.ReactNode }) {
+  const pathname = usePathname();
+  const content = (
+    <main className="relative">
+      <div className="container mx-auto px-4 lg:px-8 flex flex-col gap-4">
+        <TabNav />
+        {children}
+      </div>
+    </main>
+  );
+  if (pathname === '/collectivex' || pathname === '/zh/collectivex') return content;
   return (
     <>
       <NudgeEngine scope="dashboard" />
diff --git a/packages/app/src/components/header/header.tsx b/packages/app/src/components/header/header.tsx
index 0fe42e869..9868fdb51 100644
--- a/packages/app/src/components/header/header.tsx
+++ b/packages/app/src/components/header/header.tsx
@@ -24,6 +24,7 @@ const DASHBOARD_TABS = [
   '/reliability',
   '/gpu-specs',
   '/gpu-metrics',
+  '/collectivex',
   '/submissions',
   '/current-inferencex-image',
 ];
diff --git a/packages/app/src/components/tab-nav.tsx b/packages/app/src/components/tab-nav.tsx
index 0f8d373ea..127cf512a 100644
--- a/packages/app/src/components/tab-nav.tsx
+++ b/packages/app/src/components/tab-nav.tsx
@@ -31,6 +31,7 @@ const VISIBLE_TABS = [
   { href: '/historical', label: 'Historical Trends', testId: 'tab-trigger-historical' },
   { href: '/calculator', label: 'TCO Calculator', testId: 'tab-trigger-calculator' },
   { href: '/gpu-specs', label: 'GPU Specs', testId: 'tab-trigger-gpu-specs' },
+  { href: '/collectivex', label: 'CollectiveX', testId: 'tab-trigger-collectivex' },
   { href: '/submissions', label: 'Submissions', testId: 'tab-trigger-submissions' },
 ] as const;
 
diff --git a/packages/app/src/components/ui/chart-legend-item.tsx b/packages/app/src/components/ui/chart-legend-item.tsx
index 073442703..2d9f5f5ce 100644
--- a/packages/app/src/components/ui/chart-legend-item.tsx
+++ b/packages/app/src/components/ui/chart-legend-item.tsx
@@ -19,12 +19,14 @@ export interface CommonLegendItemProps {
   isLegendExpanded?: boolean; // Whether the legend is expanded to show full text
   sidebarMode?: boolean; // Use sidebar-style visual feedback (line-through + faded dot)
   onRemove?: (name: string) => void;
+  hideAriaLabel?: string;
   /**
    * When provided, renders a small table icon that opens a per-series points
    * table (all data points for this hardware/framework series). Only the
    * inference tab's legend passes this — other tabs get no icon.
    */
   onShowPoints?: (name: string) => void;
+  showPointsAriaLabel?: string;
 }
 
 const ChartLegendItem: React.FC<CommonLegendItemProps> = ({
@@ -43,6 +45,8 @@ const ChartLegendItem: React.FC<CommonLegendItemProps> = ({
   sidebarMode = false,
   onRemove,
   onShowPoints,
+  hideAriaLabel,
+  showPointsAriaLabel,
 }) => {
   const id = `checkbox-${hw || name}`; // Unique ID for accessibility
   const isLongText = (label ?? '').length > 8;
@@ -84,7 +88,7 @@ const ChartLegendItem: React.FC<CommonLegendItemProps> = ({
                 onRemove!(hw || name);
               }}
               className="absolute inset-0 inline-flex items-center justify-center opacity-0 group-hover/item:opacity-100"
-              aria-label={`Hide ${label}`}
+              aria-label={hideAriaLabel ?? `Hide ${label}`}
             >
               <X size={14} strokeWidth={4} className="text-foreground" />
             </span>
@@ -108,7 +112,7 @@ const ChartLegendItem: React.FC<CommonLegendItemProps> = ({
         <button
           type="button"
           data-testid={`legend-points-${hw || name}`}
-          aria-label={`Show all ${label} data points`}
+          aria-label={showPointsAriaLabel ?? `Show all ${label} data points`}
           onClick={() => onShowPoints(hw || name)}
           // Reduced opacity at rest (still visible/tappable on touch), full on
           // row hover or keyboard focus. ml-auto pins the icon to the row's
diff --git a/packages/app/src/components/ui/chart-legend.tsx b/packages/app/src/components/ui/chart-legend.tsx
index 9c14c49f7..957643b3d 100644
--- a/packages/app/src/components/ui/chart-legend.tsx
+++ b/packages/app/src/components/ui/chart-legend.tsx
@@ -41,9 +41,13 @@ const STRINGS = {
     collapse: 'Collapse',
     expand: 'Expand',
     searchPlaceholder: 'Search...',
+    searchAria: 'Search legend',
     clearSearch: 'Clear search',
+    moreInfo: (label: string) => `More info about ${label}`,
     collapseLegend: 'Collapse legend',
     expandLegend: 'Expand legend',
+    hide: (label: string) => `Hide ${label}`,
+    showPoints: (label: string) => `Show all ${label} data points`,
     atomFootnote:
       'The ATOM engine is promising, however it has yet to serve production tokens. It is still in its infant stage.',
   },
@@ -52,9 +56,13 @@ const STRINGS = {
     collapse: '收起',
     expand: '展开',
     searchPlaceholder: '搜索…',
+    searchAria: '搜索图例',
     clearSearch: '清除搜索',
+    moreInfo: (label: string) => `查看${label}的更多信息`,
     collapseLegend: '收起图例',
     expandLegend: '展开图例',
+    hide: (label: string) => `隐藏${label}`,
+    showPoints: (label: string) => `显示${label}的全部数据点`,
     atomFootnote: 'ATOM 引擎前景可期，但尚未用于生产环境 token 服务，仍处于早期阶段。',
   },
 } as const;
@@ -270,6 +278,7 @@ export default function ChartLegend({
             onChange={(e) => setSearchQuery(e.target.value)}
             onBlur={trackSearchOnBlur}
             placeholder={t.searchPlaceholder}
+            aria-label={t.searchAria}
             className="w-full px-2 py-1 pr-6 rounded-md border border-border bg-background text-foreground text-xs placeholder:text-muted-foreground focus:outline-none focus:ring-1 focus:ring-sky-500/50 focus:border-sky-500/50"
           />
           {searchQuery && (
@@ -316,7 +325,7 @@ export default function ChartLegend({
                     <button
                       type="button"
                       data-testid={`${sw.id}-info`}
-                      aria-label={`More info about ${sw.label}`}
+                      aria-label={t.moreInfo(sw.label)}
                       className="text-muted-foreground hover:text-foreground cursor-help -m-1.5 p-1.5 inline-flex items-center"
                     >
                       <Info size={14} />
@@ -455,6 +464,8 @@ export default function ChartLegend({
         onHoverEnd={onItemHoverEnd}
         onRemove={effectiveRemove}
         onShowPoints={item.onShowPoints}
+        hideAriaLabel={t.hide(item.label)}
+        showPointsAriaLabel={t.showPoints(item.label)}
         asFragment
         isLegendExpanded={effectiveExpanded}
         sidebarMode={isSidebar}
@@ -551,6 +562,8 @@ export default function ChartLegend({
                         onHoverEnd={onItemHoverEnd}
                         onRemove={effectiveRemove}
                         onShowPoints={item.onShowPoints}
+                        hideAriaLabel={t.hide(item.label)}
+                        showPointsAriaLabel={t.showPoints(item.label)}
                         sidebarMode={isSidebar}
                         asFragment
                       />
diff --git a/packages/app/src/components/ui/data-table.tsx b/packages/app/src/components/ui/data-table.tsx
index 748287534..8df0e2fb5 100644
--- a/packages/app/src/components/ui/data-table.tsx
+++ b/packages/app/src/components/ui/data-table.tsx
@@ -12,7 +12,6 @@ import {
 } from 'lucide-react';
 
 import { track } from '@/lib/analytics';
-import { useLocale } from '@/lib/use-locale';
 import {
   Select,
   SelectContent,
@@ -20,35 +19,7 @@ import {
   SelectTrigger,
   SelectValue,
 } from '@/components/ui/select';
-
-const STRINGS = {
-  en: {
-    noData: 'No data available for the current filters.',
-    searchPlaceholder: 'Search...',
-    searchLabel: 'Search table',
-    clearSearch: 'Clear search',
-    noResults: (q: string) => `No results match "${q}"`,
-    perPage: 'per page',
-    rowsPerPage: 'Rows per page',
-    prevPage: 'Previous page',
-    nextPage: 'Next page',
-    of: 'of',
-    filteredFrom: (total: number) => `(filtered from ${total})`,
-  },
-  zh: {
-    noData: '当前筛选条件下无可用数据。',
-    searchPlaceholder: '搜索…',
-    searchLabel: '搜索表格',
-    clearSearch: '清除搜索',
-    noResults: (q: string) => `无匹配"${q}"的结果`,
-    perPage: '每页',
-    rowsPerPage: '每页行数',
-    prevPage: '上一页',
-    nextPage: '下一页',
-    of: '/',
-    filteredFrom: (total: number) => `（从 ${total} 条中筛选）`,
-  },
-} as const;
+import { useLocale } from '@/lib/use-locale';
 
 export interface DataTableColumn<T> {
   /** Column header text. */
@@ -97,6 +68,37 @@ const SORT_ICON = {
   none: <ArrowUpDown className="inline size-3 opacity-30" />,
 };
 
+const STRINGS = {
+  en: {
+    noData: 'No data available for the current filters.',
+    search: 'Search...',
+    searchAria: 'Search table',
+    clearSearch: 'Clear search',
+    noResults: 'No results match',
+    of: 'of',
+    filteredFrom: 'filtered from',
+    rowUnit: 'rows',
+    rowsPerPage: 'Rows per page',
+    perPage: 'per page',
+    previousPage: 'Previous page',
+    nextPage: 'Next page',
+  },
+  zh: {
+    noData: '当前筛选条件下没有可用数据。',
+    search: '搜索…',
+    searchAria: '搜索表格',
+    clearSearch: '清除搜索',
+    noResults: '没有结果匹配',
+    of: '共',
+    filteredFrom: '筛选自',
+    rowUnit: '行',
+    rowsPerPage: '每页行数',
+    perPage: '每页',
+    previousPage: '上一页',
+    nextPage: '下一页',
+  },
+} as const;
+
 export function DataTable<T>({
   data,
   columns,
@@ -170,7 +172,7 @@ export function DataTable<T>({
   }
 
   return (
-    <div data-testid={testId} className="mt-3">
+    <div data-testid={testId} className="mt-3 min-w-0 w-full max-w-full">
       {/* Search */}
       <div className="mb-3 max-w-xs relative">
         <Search className="absolute left-2.5 top-1/2 -translate-y-1/2 size-3.5 text-muted-foreground" />
@@ -182,9 +184,9 @@ export function DataTable<T>({
             setSearch(e.target.value);
             setPage(0);
           }}
-          placeholder={t.searchPlaceholder}
+          placeholder={t.search}
           className="w-full h-7 pl-8 pr-7 text-xs bg-transparent border border-border rounded-md focus:outline-none focus:ring-1 focus:ring-ring"
-          aria-label={t.searchLabel}
+          aria-label={t.searchAria}
         />
         {search && (
           <button
@@ -260,7 +262,7 @@ export function DataTable<T>({
                   colSpan={columns.length}
                   className="py-8 text-center text-sm text-muted-foreground"
                 >
-                  {t.noResults(search)}
+                  {t.noResults} &quot;{search}&quot;
                 </td>
               </tr>
             ) : (
@@ -282,38 +284,55 @@ export function DataTable<T>({
       </div>
 
       {/* Pagination controls */}
-      <div className="flex items-center justify-between mt-3 text-xs text-muted-foreground">
-        <div className="flex items-center gap-2">
-          <span>
-            {sorted.length === 0
-              ? '0'
-              : `${safePage * pageSize + 1}–${Math.min((safePage + 1) * pageSize, sorted.length)}`}{' '}
-            {t.of} {sorted.length}
-            {search && ` ${t.filteredFrom(data.length)}`}
+      <div className="flex flex-wrap items-center justify-between gap-2 mt-3 text-xs text-muted-foreground">
+        <div className="flex flex-wrap items-center gap-2">
+          <span data-testid="data-table-pagination-summary">
+            {locale === 'zh' ? (
+              <>
+                {sorted.length === 0
+                  ? `共 0 ${t.rowUnit}`
+                  : `第 ${safePage * pageSize + 1}–${Math.min((safePage + 1) * pageSize, sorted.length)} ${t.rowUnit}，共 ${sorted.length} ${t.rowUnit}`}
+                {search && `（${t.filteredFrom} ${data.length} ${t.rowUnit}）`}
+              </>
+            ) : (
+              <>
+                {sorted.length === 0
+                  ? '0'
+                  : `${safePage * pageSize + 1}–${Math.min((safePage + 1) * pageSize, sorted.length)}`}{' '}
+                {t.of} {sorted.length}
+                {search && ` (${t.filteredFrom} ${data.length})`}
+              </>
+            )}
           </span>
-          <Select
-            value={String(pageSize)}
-            onValueChange={(v) => {
-              const size = Number(v);
-              setPageSize(size);
-              setPage(0);
-              track(`${analyticsPrefix}_page_size_changed`, { size });
-            }}
+          <div
+            data-testid="data-table-page-size"
+            className="flex shrink-0 items-center gap-1 whitespace-nowrap"
           >
-            <SelectTrigger className="h-6 w-auto gap-1 px-2 text-xs" aria-label={t.rowsPerPage}>
-              <SelectValue />
-            </SelectTrigger>
-            <SelectContent>
-              {PAGE_SIZE_OPTIONS.map((size) => (
-                <SelectItem key={size} value={String(size)}>
-                  {size}
-                </SelectItem>
-              ))}
-            </SelectContent>
-          </Select>
-          <span>{t.perPage}</span>
+            {locale === 'zh' && <span>{t.perPage}</span>}
+            <Select
+              value={String(pageSize)}
+              onValueChange={(v) => {
+                const size = Number(v);
+                setPageSize(size);
+                setPage(0);
+                track(`${analyticsPrefix}_page_size_changed`, { size });
+              }}
+            >
+              <SelectTrigger className="h-6 w-auto gap-1 px-2 text-xs" aria-label={t.rowsPerPage}>
+                <SelectValue />
+              </SelectTrigger>
+              <SelectContent>
+                {PAGE_SIZE_OPTIONS.map((size) => (
+                  <SelectItem key={size} value={String(size)}>
+                    {size}
+                  </SelectItem>
+                ))}
+              </SelectContent>
+            </Select>
+            <span>{locale === 'zh' ? t.rowUnit : t.perPage}</span>
+          </div>
         </div>
-        <div className="flex items-center gap-1">
+        <div className="ml-auto flex shrink-0 items-center gap-1">
           <button
             type="button"
             onClick={() => {
@@ -322,7 +341,7 @@ export function DataTable<T>({
             }}
             disabled={safePage === 0}
             className="p-1 rounded hover:bg-muted disabled:opacity-30 disabled:cursor-not-allowed transition-colors"
-            aria-label={t.prevPage}
+            aria-label={t.previousPage}
           >
             <ChevronLeft className="size-4" />
           </button>
diff --git a/packages/app/src/components/ui/searchable-select.test.ts b/packages/app/src/components/ui/searchable-select.test.ts
index 70b2aa8ef..275774f32 100644
--- a/packages/app/src/components/ui/searchable-select.test.ts
+++ b/packages/app/src/components/ui/searchable-select.test.ts
@@ -56,7 +56,7 @@ function openMenu() {
 // internal value tracker thinks nothing changed. Use the native HTMLInputElement
 // setter so React picks up the change and fires onChange in jsdom.
 function setSearchValue(value: string) {
-  const input = container.querySelector('input[placeholder="Search..."]') as HTMLInputElement;
+  const input = document.body.querySelector('input[type="text"]') as HTMLInputElement;
   const nativeSetter = Object.getOwnPropertyDescriptor(
     window.HTMLInputElement.prototype,
     'value',
@@ -83,7 +83,7 @@ describe('SearchableSelect', () => {
   it('shows all groups and options when opened', () => {
     render();
     openMenu();
-    const items = container.querySelectorAll('[data-slot="select-item"]');
+    const items = document.body.querySelectorAll('[data-slot="select-item"]');
     expect(items).toHaveLength(3);
   });
 
@@ -91,7 +91,7 @@ describe('SearchableSelect', () => {
     render();
     openMenu();
     setSearchValue('input');
-    const items = container.querySelectorAll('[data-slot="select-item"]');
+    const items = document.body.querySelectorAll('[data-slot="select-item"]');
     expect(items).toHaveLength(1);
     expect(items[0]?.textContent).toContain('Input Token Throughput per GPU');
   });
@@ -100,7 +100,7 @@ describe('SearchableSelect', () => {
     render();
     openMenu();
     setSearchValue('cost');
-    const items = container.querySelectorAll('[data-slot="select-item"]');
+    const items = document.body.querySelectorAll('[data-slot="select-item"]');
     expect(items).toHaveLength(1);
     expect(items[0]?.textContent).toContain('Cost per Million Total Tokens (Hyperscaler)');
   });
@@ -109,22 +109,84 @@ describe('SearchableSelect', () => {
     render();
     openMenu();
     setSearchValue('zzzzz');
-    const items = container.querySelectorAll('[data-slot="select-item"]');
+    const items = document.body.querySelectorAll('[data-slot="select-item"]');
     expect(items).toHaveLength(0);
-    expect(container.textContent).toContain('No results');
+    expect(document.body.textContent).toContain('No results');
+  });
+
+  it('uses localized search controls and empty state labels', () => {
+    render({
+      searchPlaceholder: '搜索队列...',
+      searchAriaLabel: '搜索 CollectiveX 队列',
+      clearSearchLabel: '清除队列搜索',
+      noResultsLabel: '无匹配队列',
+    });
+    openMenu();
+    const input = document.body.querySelector('input[type="text"]') as HTMLInputElement;
+    expect(input.placeholder).toBe('搜索队列...');
+    expect(input.getAttribute('aria-label')).toBe('搜索 CollectiveX 队列');
+    setSearchValue('zzzzz');
+    expect(document.body.textContent).toContain('无匹配队列');
+    expect(document.body.querySelector('button[aria-label="清除队列搜索"]')).not.toBeNull();
+  });
+
+  it('filters the canonical 280-cohort publication scale without truncating it', () => {
+    const groups = [
+      ['Library', 76],
+      ['Platform', 76],
+      ['Reference system', 12],
+      ['Routing', 116],
+    ].map(([label, size]) => ({
+      label: `${label} comparisons`,
+      options: Array.from({ length: Number(size) }, (_, index) => ({
+        value: `${label}-cohort-${index}`,
+        label: `${label} cohort ${index}`,
+      })),
+    }));
+    render({ groups, value: 'Library-cohort-0' });
+    openMenu();
+    expect(document.body.querySelectorAll('[data-slot="select-item"]')).toHaveLength(280);
+    setSearchValue('Routing comparisons');
+    expect(document.body.querySelectorAll('[data-slot="select-item"]')).toHaveLength(116);
+    setSearchValue('Routing cohort 115');
+    const items = document.body.querySelectorAll('[data-slot="select-item"]');
+    expect(items).toHaveLength(1);
+    expect(items[0]?.textContent).toContain('Routing cohort 115');
   });
 
   it('invokes onValueChange and closes the menu when an option is clicked', () => {
     const handle = vi.fn();
     render({ onValueChange: handle });
     openMenu();
-    const items = container.querySelectorAll('[data-slot="select-item"]');
+    const items = document.body.querySelectorAll('[data-slot="select-item"]');
     const target = [...items].find((el) =>
       el.textContent?.includes('Input Token Throughput per GPU'),
     ) as HTMLDivElement;
     act(() => target.click());
     expect(handle).toHaveBeenCalledExactlyOnceWith('y_inputTputPerGpu');
     // Menu closed → no select-item visible
-    expect(container.querySelectorAll('[data-slot="select-item"]')).toHaveLength(0);
+    expect(document.body.querySelectorAll('[data-slot="select-item"]')).toHaveLength(0);
+  });
+
+  it('moves through options and selects from the keyboard', () => {
+    const handle = vi.fn();
+    render({ onValueChange: handle });
+    openMenu();
+    const input = document.body.querySelector('input[type="text"]') as HTMLInputElement;
+    const options = document.body.querySelectorAll<HTMLElement>('[data-slot="select-item"]');
+    expect([...options].every((item) => item.tabIndex === -1)).toBe(true);
+    act(() =>
+      input.dispatchEvent(new KeyboardEvent('keydown', { key: 'ArrowDown', bubbles: true })),
+    );
+    expect(document.activeElement).toBe(options[0]);
+    act(() =>
+      options[0]?.dispatchEvent(new KeyboardEvent('keydown', { key: 'ArrowDown', bubbles: true })),
+    );
+    expect(document.activeElement).toBe(options[1]);
+    act(() =>
+      options[1]?.dispatchEvent(new KeyboardEvent('keydown', { key: 'Enter', bubbles: true })),
+    );
+    expect(handle).toHaveBeenCalledExactlyOnceWith('y_inputTputPerGpu');
+    expect(document.body.querySelectorAll('[data-slot="select-item"]')).toHaveLength(0);
   });
 });
diff --git a/packages/app/src/components/ui/searchable-select.tsx b/packages/app/src/components/ui/searchable-select.tsx
index 3b1a5d25a..1c7d80ad5 100644
--- a/packages/app/src/components/ui/searchable-select.tsx
+++ b/packages/app/src/components/ui/searchable-select.tsx
@@ -3,6 +3,7 @@
 import { CheckIcon, ChevronDownIcon, SearchIcon, XIcon } from 'lucide-react';
 import * as React from 'react';
 
+import { Popover, PopoverContent, PopoverTrigger } from '@/components/ui/popover';
 import { track } from '@/lib/analytics';
 import { cn } from '@/lib/utils';
 
@@ -26,11 +27,12 @@ interface SearchableSelectProps {
   triggerTestId?: string;
   disabled?: boolean;
   searchable?: boolean;
-  /** Analytics event prefix, e.g. "yaxis_metric" → "yaxis_metric_searched" */
-  trackPrefix?: string;
   searchPlaceholder?: string;
-  noResultsLabel?: string;
+  searchAriaLabel?: string;
   clearSearchLabel?: string;
+  noResultsLabel?: string;
+  /** Analytics event prefix, e.g. "yaxis_metric" → "yaxis_metric_searched" */
+  trackPrefix?: string;
 }
 
 export function SearchableSelect({
@@ -43,10 +45,11 @@ export function SearchableSelect({
   triggerTestId,
   disabled = false,
   searchable = true,
-  trackPrefix,
   searchPlaceholder = 'Search...',
-  noResultsLabel = 'No results',
+  searchAriaLabel = 'Search options',
   clearSearchLabel = 'Clear search',
+  noResultsLabel = 'No results',
+  trackPrefix,
 }: SearchableSelectProps) {
   const [isOpen, setIsOpen] = React.useState(false);
   const [search, setSearch] = React.useState('');
@@ -56,8 +59,8 @@ export function SearchableSelect({
   // resolve client-side, so SSR would otherwise lock in the default label and
   // leave it stale after hydration.
   const [mounted, setMounted] = React.useState(false);
-  const containerRef = React.useRef<HTMLDivElement>(null);
   const searchRef = React.useRef<HTMLInputElement>(null);
+  const listboxRef = React.useRef<HTMLDivElement>(null);
   const searchUsedRef = React.useRef(false);
 
   React.useEffect(() => {
@@ -65,33 +68,13 @@ export function SearchableSelect({
   }, []);
 
   React.useEffect(() => {
-    const handleClickOutside = (event: MouseEvent) => {
-      if (containerRef.current && !containerRef.current.contains(event.target as Node)) {
-        setIsOpen(false);
-      }
-    };
-    const handleKeyDown = (event: KeyboardEvent) => {
-      if (event.key === 'Escape') {
-        event.stopPropagation();
-        setIsOpen(false);
-      }
-    };
-
-    if (isOpen) {
-      document.addEventListener('mousedown', handleClickOutside);
-      document.addEventListener('keydown', handleKeyDown);
-      searchRef.current?.focus();
-    } else {
+    if (!isOpen) {
       if (searchUsedRef.current && trackPrefix) {
         track(`${trackPrefix}_searched`, { query: search });
         searchUsedRef.current = false;
       }
       setSearch('');
     }
-    return () => {
-      document.removeEventListener('mousedown', handleClickOutside);
-      document.removeEventListener('keydown', handleKeyDown);
-    };
   }, [isOpen, search, trackPrefix]);
 
   const filteredGroups = React.useMemo(() => {
@@ -120,49 +103,79 @@ export function SearchableSelect({
     onValueChange(optionValue);
     setIsOpen(false);
   };
+  const focusOption = (index: number) => {
+    const options = listboxRef.current?.querySelectorAll<HTMLElement>('[role="option"]');
+    options?.[Math.max(0, Math.min(index, options.length - 1))]?.focus();
+  };
+  const handleOptionKeyDown = (event: React.KeyboardEvent<HTMLDivElement>, optionValue: string) => {
+    if (event.key === 'Enter' || event.key === ' ') {
+      event.preventDefault();
+      handleSelect(optionValue);
+      return;
+    }
+    const options = [...(listboxRef.current?.querySelectorAll('[role="option"]') ?? [])];
+    const current = options.indexOf(event.currentTarget);
+    const target =
+      event.key === 'ArrowDown'
+        ? current + 1
+        : event.key === 'ArrowUp'
+          ? current - 1
+          : event.key === 'Home'
+            ? 0
+            : event.key === 'End'
+              ? options.length - 1
+              : null;
+    if (target !== null) {
+      event.preventDefault();
+      focusOption(target);
+    }
+  };
 
   return (
-    <div ref={containerRef} className="relative">
-      <button
-        type="button"
-        id={triggerId}
-        data-testid={triggerTestId}
-        data-slot="select-trigger"
-        data-size="default"
-        role="combobox"
-        aria-expanded={isOpen}
-        aria-haspopup="listbox"
-        aria-controls={listboxId}
-        onClick={() => !disabled && setIsOpen(!isOpen)}
-        disabled={disabled}
-        className={cn(
-          "border-input data-placeholder:text-muted-foreground [&_svg:not([class*='text-'])]:text-muted-foreground focus-visible:border-ring focus-visible:ring-ring/50 dark:bg-input/90 dark:hover:bg-input/50 flex w-full items-center justify-between gap-2 rounded-md border bg-transparent px-3 py-2 text-sm shadow-xs transition-[color,box-shadow] outline-none focus-visible:ring-[3px] disabled:cursor-not-allowed disabled:opacity-50 min-h-9",
-          className,
-        )}
-      >
-        <span
-          className={cn(
-            'flex-1 text-left truncate',
-            (!mounted || !selectedLabel) && 'text-muted-foreground',
-          )}
-        >
-          {mounted ? (selectedLabel ?? placeholder) : placeholder}
-        </span>
-        <ChevronDownIcon
-          className={cn(
-            'size-4 opacity-90 shrink-0 transition-transform',
-            isOpen && 'transform rotate-180',
-          )}
-        />
-      </button>
-
-      {isOpen && (
-        <div
+    <Popover open={isOpen} onOpenChange={(open) => !disabled && setIsOpen(open)}>
+      <div className="relative">
+        <PopoverTrigger asChild>
+          <button
+            type="button"
+            id={triggerId}
+            data-testid={triggerTestId}
+            data-slot="select-trigger"
+            data-size="default"
+            role="combobox"
+            aria-expanded={isOpen}
+            aria-haspopup="listbox"
+            aria-controls={listboxId}
+            disabled={disabled}
+            className={cn(
+              "border-input data-placeholder:text-muted-foreground [&_svg:not([class*='text-'])]:text-muted-foreground focus-visible:border-ring focus-visible:ring-ring/50 dark:bg-input/90 dark:hover:bg-input/50 flex w-full items-center justify-between gap-2 rounded-md border bg-transparent px-3 py-2 text-sm shadow-xs transition-[color,box-shadow] outline-none focus-visible:ring-[3px] disabled:cursor-not-allowed disabled:opacity-50 min-h-9",
+              className,
+            )}
+          >
+            <span
+              className={cn(
+                'flex-1 text-left truncate',
+                (!mounted || !selectedLabel) && 'text-muted-foreground',
+              )}
+            >
+              {mounted ? (selectedLabel ?? placeholder) : placeholder}
+            </span>
+            <ChevronDownIcon
+              className={cn(
+                'size-4 opacity-90 shrink-0 transition-transform',
+                isOpen && 'transform rotate-180',
+              )}
+            />
+          </button>
+        </PopoverTrigger>
+        <PopoverContent
           data-slot="select-content"
-          // No enter animations: tailwindcss-animate sets opacity/scale to 0 at
-          // the start of the animation which makes Cypress treat the search
-          // input as not visible and fail cy.type().
-          className="bg-popover text-popover-foreground absolute z-50 mt-1 w-full origin-top overflow-hidden rounded-md border shadow-md"
+          align="start"
+          sideOffset={4}
+          onOpenAutoFocus={(event) => {
+            event.preventDefault();
+            searchRef.current?.focus();
+          }}
+          className="z-[100] w-[var(--radix-popover-trigger-width)] overflow-hidden p-0 data-[state=open]:animate-none data-[state=closed]:animate-none"
         >
           {/* Search header lives outside the scrollable region so it never picks up
            * `sticky` → `position: fixed` resolution that puts it behind the page
@@ -178,7 +191,17 @@ export function SearchableSelect({
                   setSearch(e.target.value);
                   if (e.target.value) searchUsedRef.current = true;
                 }}
+                onKeyDown={(event) => {
+                  if (event.key === 'ArrowDown') {
+                    event.preventDefault();
+                    focusOption(0);
+                  } else if (event.key === 'ArrowUp') {
+                    event.preventDefault();
+                    focusOption(Number.MAX_SAFE_INTEGER);
+                  }
+                }}
                 placeholder={searchPlaceholder}
+                aria-label={searchAriaLabel}
                 className="w-full bg-transparent py-1.5 text-sm outline-none placeholder:text-muted-foreground"
               />
               {search && (
@@ -197,6 +220,7 @@ export function SearchableSelect({
             </div>
           )}
           <div
+            ref={listboxRef}
             id={listboxId}
             role="listbox"
             className="p-1 max-h-72 overflow-y-auto custom-scrollbar"
@@ -217,10 +241,12 @@ export function SearchableSelect({
                     <div
                       key={option.value}
                       role="option"
+                      tabIndex={-1}
                       aria-selected={isSelected}
                       data-slot="select-item"
                       data-value={option.value}
                       onClick={() => handleSelect(option.value)}
+                      onKeyDown={(event) => handleOptionKeyDown(event, option.value)}
                       className={cn(
                         "focus:bg-accent focus:text-accent-foreground [&_svg:not([class*='text-'])]:text-muted-foreground relative flex w-full cursor-pointer items-center gap-2 rounded-sm py-1.5 pr-8 pl-2 text-sm outline-hidden select-none transition-all duration-150 ease-in-out",
                         'hover:bg-primary/20 hover:pl-3 hover:shadow-sm',
@@ -237,8 +263,8 @@ export function SearchableSelect({
               </div>
             ))}
           </div>
-        </div>
-      )}
-    </div>
+        </PopoverContent>
+      </div>
+    </Popover>
   );
 }
diff --git a/packages/app/src/hooks/api/use-collectivex.ts b/packages/app/src/hooks/api/use-collectivex.ts
new file mode 100644
index 000000000..4235a7638
--- /dev/null
+++ b/packages/app/src/hooks/api/use-collectivex.ts
@@ -0,0 +1,17 @@
+import { useQuery } from '@tanstack/react-query';
+
+import { fetchCollectiveX } from '@/lib/api';
+import type { CollectiveXChannelName } from '@/components/collectivex/reader';
+import type { CollectiveXVersion } from '@/components/collectivex/types';
+
+export function useCollectiveX(
+  channel: CollectiveXChannelName = 'dev-latest',
+  version: CollectiveXVersion = 'v1',
+) {
+  return useQuery({
+    queryKey: ['collectivex', version, channel],
+    queryFn: ({ signal }) => fetchCollectiveX(channel, signal, version),
+    staleTime: 0,
+    refetchOnMount: 'always',
+  });
+}
diff --git a/packages/app/src/lib/allowed-dev-origins.test.ts b/packages/app/src/lib/allowed-dev-origins.test.ts
index 0577e3ce0..44e8ae3ce 100644
--- a/packages/app/src/lib/allowed-dev-origins.test.ts
+++ b/packages/app/src/lib/allowed-dev-origins.test.ts
@@ -11,7 +11,7 @@ describe('allowedDevOriginsFromEnv', () => {
 
   it('trims whitespace and removes empty entries', () => {
     expect(
-      allowedDevOriginsFromEnv(' 10.112.9.49 , , local-origin.dev , *.local-origin.dev '),
-    ).toEqual(['10.112.9.49', 'local-origin.dev', '*.local-origin.dev']);
+      allowedDevOriginsFromEnv(' dev-machine.local , , local-origin.dev , *.local-origin.dev '),
+    ).toEqual(['dev-machine.local', 'local-origin.dev', '*.local-origin.dev']);
   });
 });
diff --git a/packages/app/src/lib/allowed-dev-origins.ts b/packages/app/src/lib/allowed-dev-origins.ts
index 839a486ff..82fac506a 100644
--- a/packages/app/src/lib/allowed-dev-origins.ts
+++ b/packages/app/src/lib/allowed-dev-origins.ts
@@ -1,4 +1,4 @@
-/** Comma-separated hostnames or IPs (e.g. `10.112.9.49,192.168.1.10`). Only used in dev. */
+/** Comma-separated dev hostnames (e.g. `dev-a.local,dev-b.local`). */
 export function allowedDevOriginsFromEnv(raw = process.env.NEXT_DEV_ALLOWED_ORIGINS): string[] {
   if (!raw?.trim()) return [];
   return raw
diff --git a/packages/app/src/lib/api.test.ts b/packages/app/src/lib/api.test.ts
index a1f290068..e89f2fb75 100644
--- a/packages/app/src/lib/api.test.ts
+++ b/packages/app/src/lib/api.test.ts
@@ -4,9 +4,12 @@ import {
   fetchBenchmarks,
   fetchWorkflowInfo,
   fetchAvailability,
+  fetchCollectiveX,
   fetchReliability,
   fetchEvaluations,
 } from './api';
+import { makeCollectiveXDataset } from '@/components/collectivex/test-fixture';
+import { collectiveXChannelUrl, sha256Hex } from '@/components/collectivex/reader';
 
 const mockFetch = vi.fn();
 vi.stubGlobal('fetch', mockFetch);
@@ -126,3 +129,41 @@ describe('fetchEvaluations', () => {
     expect(result[0].task).toBe('gsm8k');
   });
 });
+
+describe('fetchCollectiveX', () => {
+  it('resolves the no-cache channel to a digest-addressed dataset', async () => {
+    const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDataset()));
+    const digest = await sha256Hex(bytes);
+    mockFetch
+      .mockResolvedValueOnce({
+        ok: true,
+        text: () =>
+          Promise.resolve(
+            JSON.stringify({
+              format: 'collectivex.channel.v1',
+              channel: 'dev-latest',
+              generated_at: '2026-07-04T01:00:00Z',
+              dataset: {
+                path: `datasets/${digest}/dataset.json`,
+                sha256: digest,
+                bytes: bytes.length,
+              },
+            }),
+          ),
+      })
+      .mockResolvedValueOnce({ ok: true, arrayBuffer: () => Promise.resolve(bytes.buffer) });
+
+    const result = await fetchCollectiveX();
+
+    expect(mockFetch).toHaveBeenCalledWith(
+      collectiveXChannelUrl('dev-latest'),
+      expect.objectContaining({ cache: 'no-store', credentials: 'same-origin' }),
+    );
+    expect(mockFetch).toHaveBeenLastCalledWith(
+      `/collectivex-data/v1/datasets/${digest}/dataset.json`,
+      expect.objectContaining({ cache: 'force-cache', credentials: 'same-origin' }),
+    );
+    expect(result.dataset.format).toBe('collectivex.public.v1');
+    expect(result.digest).toBe(digest);
+  });
+});
diff --git a/packages/app/src/lib/api.ts b/packages/app/src/lib/api.ts
index a9d667154..1d9a17fac 100644
--- a/packages/app/src/lib/api.ts
+++ b/packages/app/src/lib/api.ts
@@ -3,6 +3,11 @@
  * Each function is a thin fetch wrapper returning typed data.
  */
 
+import {
+  fetchCollectiveXPublication,
+  type CollectiveXChannelName,
+} from '@/components/collectivex/reader';
+import type { CollectiveXVersion } from '@/components/collectivex/types';
 import type { WorkerPower } from '@/components/inference/types';
 
 import type { SubmissionsResponse } from './submissions-types';
@@ -300,6 +305,14 @@ export function fetchSubmissions(signal?: AbortSignal) {
   return fetchJson<SubmissionsResponse>('/api/v1/submissions', signal);
 }
 
+export function fetchCollectiveX(
+  channel: CollectiveXChannelName = 'dev-latest',
+  signal?: AbortSignal,
+  version: CollectiveXVersion = 'v1',
+) {
+  return fetchCollectiveXPublication(channel, signal, version);
+}
+
 export interface FeedbackListRow {
   id: string;
   created_at: string;
diff --git a/packages/app/src/lib/collectivex-github.test.ts b/packages/app/src/lib/collectivex-github.test.ts
new file mode 100644
index 000000000..3596ebf2f
--- /dev/null
+++ b/packages/app/src/lib/collectivex-github.test.ts
@@ -0,0 +1,151 @@
+import { createHash } from 'node:crypto';
+
+import AdmZip from 'adm-zip';
+import { afterAll, beforeEach, describe, expect, it, vi } from 'vitest';
+
+import {
+  makeCollectiveXDataset,
+  makeCollectiveXDiagnosticDataset,
+} from '@/components/collectivex/test-fixture';
+
+import {
+  clearCollectiveXPublicationCache,
+  collectiveXPublicationErrorCode,
+  loadCollectiveXPublication,
+} from './collectivex-github';
+
+const mockFetch = vi.fn();
+vi.stubGlobal('fetch', mockFetch);
+
+function jsonResponse(value: unknown, status = 200) {
+  return Response.json(value, {
+    status,
+  });
+}
+
+function publicationArchive(value = makeCollectiveXDataset(), extra = false) {
+  const body = Buffer.from(`${JSON.stringify(value)}\n`);
+  const digest = createHash('sha256').update(body).digest('hex');
+  const zip = new AdmZip();
+  zip.addFile(`collectivex_public_v1_${digest}.ndjson`, body);
+  if (extra) zip.addFile(`collectivex_public_v1_${'f'.repeat(64)}.ndjson`, body);
+  return { body, digest, zip: zip.toBuffer() };
+}
+
+function installGithubResponses(archive: ReturnType<typeof publicationArchive>) {
+  mockFetch
+    .mockResolvedValueOnce(
+      jsonResponse({
+        workflow_runs: [
+          {
+            id: 456,
+            name: 'CollectiveX Publish V1',
+            head_branch: 'collectivex',
+            head_sha: 'a'.repeat(40),
+            status: 'completed',
+            conclusion: 'success',
+          },
+        ],
+      }),
+    )
+    .mockResolvedValueOnce(
+      jsonResponse({
+        artifacts: [
+          {
+            id: 123,
+            name: 'cxpublication-v1-456-1',
+            archive_download_url: 'https://example.test/publication.zip',
+            expired: false,
+            size_in_bytes: archive.zip.byteLength,
+          },
+        ],
+      }),
+    )
+    .mockResolvedValueOnce(
+      new Response(archive.zip, {
+        headers: { 'Content-Length': String(archive.zip.byteLength) },
+      }),
+    );
+}
+
+beforeEach(() => {
+  clearCollectiveXPublicationCache();
+  mockFetch.mockReset();
+  process.env.GITHUB_TOKEN = 'test-token';
+});
+
+afterAll(() => {
+  delete process.env.GITHUB_TOKEN;
+  vi.unstubAllGlobals();
+});
+
+describe('CollectiveX GitHub publication loader', () => {
+  it('discovers, downloads, validates, and caches the latest NDJSON publication', async () => {
+    const archive = publicationArchive();
+    installGithubResponses(archive);
+
+    const first = await loadCollectiveXPublication('v1');
+    const second = await loadCollectiveXPublication('v1');
+
+    expect(first).toMatchObject({
+      artifactId: 123,
+      digest: archive.digest,
+      runId: 456,
+      version: 'v1',
+    });
+    expect(Buffer.from(first.body)).toEqual(archive.body);
+    expect(first.dataset.promotion.status).toBe('promoted');
+    expect(second).toBe(first);
+    expect(mockFetch).toHaveBeenCalledTimes(3);
+    expect(mockFetch.mock.calls[0][0]).toContain(
+      '/actions/workflows/collectivex-publish.yml/runs?',
+    );
+  });
+
+  it('resolves an immutable digest from the publication cache', async () => {
+    const archive = publicationArchive();
+    installGithubResponses(archive);
+    await loadCollectiveXPublication('v1');
+
+    await expect(loadCollectiveXPublication('v1', archive.digest)).resolves.toMatchObject({
+      digest: archive.digest,
+    });
+    expect(mockFetch).toHaveBeenCalledTimes(3);
+  });
+
+  it('retries transient GitHub failures with bounded attempts', async () => {
+    const archive = publicationArchive();
+    mockFetch.mockResolvedValueOnce(jsonResponse({}, 503));
+    installGithubResponses(archive);
+
+    await expect(loadCollectiveXPublication('v1')).resolves.toMatchObject({
+      digest: archive.digest,
+    });
+    expect(mockFetch).toHaveBeenCalledTimes(4);
+  });
+
+  it('rejects non-promoted and ambiguous publication artifacts', async () => {
+    const diagnostic = publicationArchive(makeCollectiveXDiagnosticDataset());
+    installGithubResponses(diagnostic);
+    await expect(loadCollectiveXPublication('v1')).rejects.toSatisfy(
+      (error: unknown) => collectiveXPublicationErrorCode(error) === 'invalid',
+    );
+
+    clearCollectiveXPublicationCache();
+    mockFetch.mockReset();
+    const ambiguous = publicationArchive(makeCollectiveXDataset(), true);
+    installGithubResponses(ambiguous);
+    await expect(loadCollectiveXPublication('v1')).rejects.toSatisfy(
+      (error: unknown) => collectiveXPublicationErrorCode(error) === 'invalid',
+    );
+  });
+
+  it('fails as unavailable without a server-side GitHub token', async () => {
+    delete process.env.GITHUB_TOKEN;
+
+    await expect(loadCollectiveXPublication('v1')).rejects.toSatisfy(
+      (error: unknown) => collectiveXPublicationErrorCode(error) === 'unavailable',
+    );
+    expect(mockFetch).not.toHaveBeenCalled();
+  });
+});
diff --git a/packages/app/src/lib/collectivex-github.ts b/packages/app/src/lib/collectivex-github.ts
new file mode 100644
index 000000000..2cde39462
--- /dev/null
+++ b/packages/app/src/lib/collectivex-github.ts
@@ -0,0 +1,320 @@
+import { createHash } from 'node:crypto';
+
+import AdmZip from 'adm-zip';
+
+import { GITHUB_API_BASE, GITHUB_OWNER, GITHUB_REPO } from '@semianalysisai/inferencex-constants';
+
+import { parseCollectiveXDatasetText } from '@/components/collectivex/reader';
+import type { CollectiveXDataset, CollectiveXVersion } from '@/components/collectivex/types';
+
+const BRANCH = 'collectivex';
+const PUBLICATION_POLICY: Record<CollectiveXVersion, { file: RegExp; workflowName: string }> = {
+  v1: {
+    file: /^collectivex_public_v1_(?<digest>[a-f0-9]{64})\.ndjson$/,
+    workflowName: 'CollectiveX Publish V1',
+  },
+};
+const MAX_PUBLICATION_BYTES = 32 * 1024 * 1024;
+const REQUEST_TIMEOUT_MS = 30_000;
+const MAX_REQUEST_ATTEMPTS = 3;
+const RETRYABLE_STATUSES = new Set([408, 429, 500, 502, 503, 504]);
+const LATEST_TTL_MS = 60_000;
+const DIGEST_TTL_MS = 10 * 60_000;
+
+type PublicationErrorCode = 'invalid' | 'not-found' | 'unavailable';
+
+interface WorkflowRun {
+  id: number;
+  name: string;
+  head_branch: string | null;
+  head_sha: string;
+  status: string | null;
+  conclusion: string | null;
+}
+
+interface GithubArtifact {
+  id: number;
+  name: string;
+  archive_download_url: string;
+  expired?: boolean;
+  size_in_bytes?: number;
+}
+
+interface PublicationCandidate {
+  artifact: GithubArtifact;
+  run: WorkflowRun;
+}
+
+export interface CollectiveXGithubPublication {
+  artifactId: number;
+  body: Uint8Array<ArrayBuffer>;
+  dataset: CollectiveXDataset;
+  digest: string;
+  runId: number;
+  version: CollectiveXVersion;
+}
+
+class CollectiveXPublicationError extends Error {
+  readonly code: PublicationErrorCode;
+
+  constructor(code: PublicationErrorCode, message: string, options?: ErrorOptions) {
+    super(message, options);
+    this.name = 'CollectiveXPublicationError';
+    this.code = code;
+  }
+}
+
+export function collectiveXPublicationErrorCode(error: unknown): PublicationErrorCode | null {
+  return error instanceof CollectiveXPublicationError ? error.code : null;
+}
+
+const digestCache = new Map<
+  string,
+  { expiresAt: number; publication: CollectiveXGithubPublication }
+>();
+const latestCache = new Map<
+  CollectiveXVersion,
+  { expiresAt: number; promise: Promise<CollectiveXGithubPublication> }
+>();
+
+function githubHeaders(token: string) {
+  return {
+    Accept: 'application/vnd.github+json',
+    Authorization: `Bearer ${token}`,
+    'X-GitHub-Api-Version': '2022-11-28',
+  };
+}
+
+async function waitBeforeRetry(attempt: number): Promise<void> {
+  const delay = process.env.NODE_ENV === 'test' ? 0 : Math.min(250 * 2 ** (attempt - 1), 2000);
+  await new Promise((resolve) => {
+    setTimeout(resolve, delay);
+  });
+}
+
+async function githubFetch(url: string, token: string): Promise<Response> {
+  let lastError: unknown;
+  for (let attempt = 1; attempt <= MAX_REQUEST_ATTEMPTS; attempt++) {
+    try {
+      const response = await fetch(url, {
+        cache: 'no-store',
+        headers: githubHeaders(token),
+        signal: AbortSignal.timeout(REQUEST_TIMEOUT_MS),
+      });
+      if (
+        response.ok ||
+        !RETRYABLE_STATUSES.has(response.status) ||
+        attempt === MAX_REQUEST_ATTEMPTS
+      ) {
+        return response;
+      }
+      lastError = new Error(`GitHub returned ${response.status}`);
+    } catch (error) {
+      lastError = error;
+      if (attempt === MAX_REQUEST_ATTEMPTS) break;
+    }
+    await waitBeforeRetry(attempt);
+  }
+  throw new CollectiveXPublicationError('unavailable', 'GitHub request failed', {
+    cause: lastError,
+  });
+}
+
+async function publicationCandidates(
+  version: CollectiveXVersion,
+  token: string,
+): Promise<PublicationCandidate[]> {
+  const policy = PUBLICATION_POLICY[version];
+  const parameters = new URLSearchParams({
+    branch: BRANCH,
+    status: 'completed',
+    per_page: '20',
+  });
+  const runsResponse = await githubFetch(
+    `${GITHUB_API_BASE}/repos/${GITHUB_OWNER}/${GITHUB_REPO}/actions/workflows/collectivex-publish.yml/runs?${parameters}`,
+    token,
+  );
+  if (!runsResponse.ok) {
+    throw new CollectiveXPublicationError(
+      'unavailable',
+      `GitHub publication discovery failed (${runsResponse.status})`,
+    );
+  }
+  const runs =
+    ((await runsResponse.json()) as { workflow_runs?: WorkflowRun[] }).workflow_runs ?? [];
+  const candidates: PublicationCandidate[] = [];
+  for (const run of runs) {
+    if (
+      run.name !== policy.workflowName ||
+      run.head_branch !== BRANCH ||
+      run.status !== 'completed' ||
+      run.conclusion !== 'success' ||
+      !/^[a-f0-9]{40}$/.test(run.head_sha)
+    ) {
+      continue;
+    }
+    const artifactsResponse = await githubFetch(
+      `${GITHUB_API_BASE}/repos/${GITHUB_OWNER}/${GITHUB_REPO}/actions/runs/${run.id}/artifacts?per_page=100`,
+      token,
+    );
+    if (!artifactsResponse.ok) {
+      throw new CollectiveXPublicationError(
+        'unavailable',
+        `GitHub artifact discovery failed (${artifactsResponse.status})`,
+      );
+    }
+    const artifacts = ((await artifactsResponse.json()) as { artifacts?: GithubArtifact[] })
+      .artifacts;
+    const matching = (artifacts ?? []).filter(
+      (artifact) => artifact.name.startsWith(`cxpublication-${version}-`) && !artifact.expired,
+    );
+    if (matching.length > 1) {
+      throw new CollectiveXPublicationError('invalid', 'publication run has duplicate artifacts');
+    }
+    if (matching[0]) candidates.push({ artifact: matching[0], run });
+  }
+  return candidates;
+}
+
+async function downloadPublication(
+  version: CollectiveXVersion,
+  candidate: PublicationCandidate,
+  token: string,
+): Promise<CollectiveXGithubPublication> {
+  const policy = PUBLICATION_POLICY[version];
+  if (
+    candidate.artifact.size_in_bytes !== undefined &&
+    candidate.artifact.size_in_bytes > MAX_PUBLICATION_BYTES
+  ) {
+    throw new CollectiveXPublicationError('invalid', 'publication artifact is oversized');
+  }
+  const response = await githubFetch(candidate.artifact.archive_download_url, token);
+  if (!response.ok) {
+    throw new CollectiveXPublicationError(
+      'unavailable',
+      `GitHub publication download failed (${response.status})`,
+    );
+  }
+  const declaredBytes = Number(response.headers.get('Content-Length') ?? 0);
+  if (declaredBytes > MAX_PUBLICATION_BYTES) {
+    throw new CollectiveXPublicationError('invalid', 'publication archive is oversized');
+  }
+  const archive = Buffer.from(await response.arrayBuffer());
+  if (archive.byteLength > MAX_PUBLICATION_BYTES) {
+    throw new CollectiveXPublicationError('invalid', 'publication archive is oversized');
+  }
+
+  let zip: AdmZip;
+  try {
+    zip = new AdmZip(archive);
+  } catch (error) {
+    throw new CollectiveXPublicationError('invalid', 'publication artifact is not a ZIP', {
+      cause: error,
+    });
+  }
+  const entries = zip.getEntries().filter((entry) => !entry.isDirectory);
+  if (
+    entries.length !== 1 ||
+    entries[0].entryName.includes('/') ||
+    !policy.file.test(entries[0].entryName)
+  ) {
+    throw new CollectiveXPublicationError('invalid', 'publication archive layout is invalid');
+  }
+  if (entries[0].header.size > MAX_PUBLICATION_BYTES) {
+    throw new CollectiveXPublicationError('invalid', 'publication dataset is oversized');
+  }
+  const bytes = entries[0].getData();
+  if (bytes.byteLength === 0 || bytes.byteLength > MAX_PUBLICATION_BYTES) {
+    throw new CollectiveXPublicationError('invalid', 'publication dataset size is invalid');
+  }
+
+  let text: string;
+  try {
+    text = new TextDecoder('utf-8', { fatal: true }).decode(bytes);
+  } catch (error) {
+    throw new CollectiveXPublicationError('invalid', 'publication dataset is not UTF-8', {
+      cause: error,
+    });
+  }
+  const lines = text.split('\n');
+  if (lines.length !== 2 || lines[1] !== '' || lines[0].length === 0 || lines[0].includes('\r')) {
+    throw new CollectiveXPublicationError(
+      'invalid',
+      'publication artifact must contain exactly one NDJSON record',
+    );
+  }
+  let dataset: CollectiveXDataset;
+  try {
+    dataset = parseCollectiveXDatasetText(lines[0]);
+  } catch (error) {
+    throw new CollectiveXPublicationError('invalid', 'publication dataset failed validation', {
+      cause: error,
+    });
+  }
+  if (dataset.promotion.status !== 'promoted') {
+    throw new CollectiveXPublicationError('invalid', 'publication dataset is not promoted');
+  }
+  const digest = createHash('sha256').update(bytes).digest('hex');
+  const namedDigest = policy.file.exec(entries[0].entryName)?.groups?.digest;
+  if (digest !== namedDigest) {
+    throw new CollectiveXPublicationError('invalid', 'publication filename digest differs');
+  }
+  return {
+    artifactId: candidate.artifact.id,
+    body: Uint8Array.from(bytes),
+    dataset,
+    digest,
+    runId: candidate.run.id,
+    version,
+  };
+}
+
+async function fetchPublication(
+  version: CollectiveXVersion,
+  digest?: string,
+): Promise<CollectiveXGithubPublication> {
+  const token = process.env.GITHUB_TOKEN;
+  if (!token) {
+    throw new CollectiveXPublicationError('unavailable', 'GITHUB_TOKEN is not configured');
+  }
+  const candidates = await publicationCandidates(version, token);
+  if (candidates.length === 0) {
+    throw new CollectiveXPublicationError('not-found', 'no CollectiveX publication artifact');
+  }
+  for (const candidate of candidates) {
+    const publication = await downloadPublication(version, candidate, token);
+    digestCache.set(`${version}:${publication.digest}`, {
+      expiresAt: Date.now() + DIGEST_TTL_MS,
+      publication,
+    });
+    if (!digest || publication.digest === digest) return publication;
+  }
+  throw new CollectiveXPublicationError('not-found', 'CollectiveX publication digest not found');
+}
+
+export function loadCollectiveXPublication(
+  version: CollectiveXVersion,
+  digest?: string,
+): Promise<CollectiveXGithubPublication> {
+  const now = Date.now();
+  if (digest) {
+    const cacheKey = `${version}:${digest}`;
+    const cached = digestCache.get(cacheKey);
+    if (cached && cached.expiresAt > now) return Promise.resolve(cached.publication);
+    digestCache.delete(cacheKey);
+    return fetchPublication(version, digest);
+  }
+  const cached = latestCache.get(version);
+  if (cached && cached.expiresAt > now) return cached.promise;
+  const promise = fetchPublication(version).catch((error) => {
+    latestCache.delete(version);
+    throw error;
+  });
+  latestCache.set(version, { expiresAt: now + LATEST_TTL_MS, promise });
+  return promise;
+}
+
+export function clearCollectiveXPublicationCache(): void {
+  digestCache.clear();
+  latestCache.clear();
+}
diff --git a/packages/app/src/lib/d3-chart/D3Chart/types.ts b/packages/app/src/lib/d3-chart/D3Chart/types.ts
index 3062784ef..7d62eda08 100644
--- a/packages/app/src/lib/d3-chart/D3Chart/types.ts
+++ b/packages/app/src/lib/d3-chart/D3Chart/types.ts
@@ -126,6 +126,8 @@ export interface AxisConfig {
   label?: string;
   tickFormat?: (d: d3.AxisDomain) => string;
   tickCount?: number;
+  /** Explicit ticks or a domain-aware generator, useful for geometric and sparse log axes. */
+  tickValues?: (number | Date)[] | ((scale: AnyScale) => (number | Date)[]);
   /** Post-render callback for custom axis label formatting (e.g., multi-line tspan). */
   customize?: (axisGroup: d3.Selection<SVGGElement, unknown, null, undefined>) => void;
 }
diff --git a/packages/app/src/lib/d3-chart/D3Chart/useD3ChartRenderer.ts b/packages/app/src/lib/d3-chart/D3Chart/useD3ChartRenderer.ts
index 8953d1562..7d9ba3ec8 100644
--- a/packages/app/src/lib/d3-chart/D3Chart/useD3ChartRenderer.ts
+++ b/packages/app/src/lib/d3-chart/D3Chart/useD3ChartRenderer.ts
@@ -8,7 +8,7 @@ import type { ChartLayout, ContinuousScale } from '../types';
 
 import { buildScale, isBandScale, type BuiltScale } from './scale-builders';
 import { renderLayer, updateLayerOnZoom } from './layer-renderer';
-import type { D3ChartProps, RenderContext, ZoomContext } from './types';
+import type { AxisConfig, D3ChartProps, RenderContext, ZoomContext } from './types';
 
 interface RendererDeps {
   svgRef: React.RefObject<SVGSVGElement | null>;
@@ -51,6 +51,14 @@ interface RendererDeps {
   ) => void;
 }
 
+function resolveTickValues(
+  tickValues: AxisConfig['tickValues'],
+  scale: AnyScale,
+): (number | Date)[] | undefined {
+  if (!tickValues) return undefined;
+  return typeof tickValues === 'function' ? tickValues(scale) : tickValues;
+}
+
 /**
  * Core render effect for D3Chart. Builds scales, renders structure/axes/grid/layers,
  * wires up tooltip and zoom handlers.
@@ -97,7 +105,14 @@ export function useD3ChartRenderer<T>(props: D3ChartProps<T>, deps: RendererDeps
   // preventing a frame where dots and lines are out of sync during y-axis metric changes.
   useLayoutEffect(() => {
     if (!svgRef.current || !tooltipRef.current || dimensions.width === 0) return;
-    if (data.length === 0 && layers.every((l) => l.type !== 'custom')) return;
+    if (data.length === 0 && layers.every((layer) => layer.type !== 'custom')) {
+      d3.select(svgRef.current).selectAll('*').remove();
+      scalesRef.current = null;
+      layoutRef.current = null;
+      dismissTooltip(true);
+      prevDataRef.current = data;
+      return;
+    }
 
     // Animate when data or scale domains changed (but not on resize/theme changes)
     const dataChanged = data !== prevDataRef.current;
@@ -162,12 +177,24 @@ export function useD3ChartRenderer<T>(props: D3ChartProps<T>, deps: RendererDeps
 
       // ── Grid + Axes (skip when no scale configs) ──
       if (hasScales) {
-        renderGrid(layout, xScale as AnyScale, yScale as any, yAxisConfig?.tickCount ?? 5);
+        const xTickValues = resolveTickValues(xAxisConfig?.tickValues, xScale as AnyScale);
+        const yTickValues = resolveTickValues(yAxisConfig?.tickValues, yScale as AnyScale);
+        renderGrid(
+          layout,
+          xScale as AnyScale,
+          yScale as any,
+          yAxisConfig?.tickCount ?? 5,
+          0,
+          xTickValues,
+          yTickValues,
+        );
         renderAxes(layout, xScale as AnyScale, yScale as any, {
           xTickFormat: xAxisConfig?.tickFormat,
           yTickFormat: yAxisConfig?.tickFormat,
           xTickCount: xAxisConfig?.tickCount,
           yTickCount: yAxisConfig?.tickCount,
+          xTickValues,
+          yTickValues,
         });
 
         // Custom axis formatting callbacks
@@ -408,11 +435,15 @@ export function useD3ChartRenderer<T>(props: D3ChartProps<T>, deps: RendererDeps
               }
 
               // Update axes + grid
+              const xTickValues = resolveTickValues(xAxisConfig?.tickValues, newXScale as AnyScale);
+              const yTickValues = resolveTickValues(yAxisConfig?.tickValues, newYScale as AnyScale);
               renderAxes(layout, newXScale as AnyScale, newYScale as any, {
                 xTickFormat: xAxisConfig?.tickFormat,
                 yTickFormat: yAxisConfig?.tickFormat,
                 xTickCount: xAxisConfig?.tickCount,
                 yTickCount: yAxisConfig?.tickCount,
+                xTickValues,
+                yTickValues,
               });
               if (xAxisConfig?.customize) {
                 xAxisConfig.customize(layout.xAxisGroup);
@@ -425,6 +456,9 @@ export function useD3ChartRenderer<T>(props: D3ChartProps<T>, deps: RendererDeps
                 newXScale as AnyScale,
                 newYScale as any,
                 yAxisConfig?.tickCount ?? 5,
+                0,
+                xTickValues,
+                yTickValues,
               );
 
               // Update layers
diff --git a/packages/app/src/lib/d3-chart/chart-update.test.ts b/packages/app/src/lib/d3-chart/chart-update.test.ts
index a4a52b859..a8b3d0127 100644
--- a/packages/app/src/lib/d3-chart/chart-update.test.ts
+++ b/packages/app/src/lib/d3-chart/chart-update.test.ts
@@ -51,6 +51,23 @@ describe('renderAxes', () => {
       expect(tickCount).toBeLessThanOrEqual(8);
     });
 
+    it('renders only explicit x tick values within the visible domain', () => {
+      const layout = makeLayout();
+      const xScale = d3.scaleLinear().domain([2, 10]).range([0, layout.width]);
+      const yScale = d3.scaleLinear().domain([0, 50]).range([layout.height, 0]);
+
+      renderAxes(layout, xScale, yScale, {
+        xTickValues: [1, 2, 4, 16],
+        xTickFormat: String,
+      });
+
+      const labels: string[] = [];
+      layout.xAxisGroup.selectAll('.tick text').each(function () {
+        labels.push(d3.select(this).text());
+      });
+      expect(labels).toEqual(['2', '4']);
+    });
+
     it('respects yTickCount', () => {
       const layout = makeLayout();
       const xScale = d3.scaleLinear().domain([0, 100]).range([0, layout.width]);
@@ -130,6 +147,26 @@ describe('renderAxes', () => {
     });
   });
 
+  describe('with log scales', () => {
+    it('uses measured geometric sweep values instead of generated log subdivisions', () => {
+      const layout = makeLayout();
+      const xScale = d3.scaleLog().base(2).domain([0.9, 70]).range([0, layout.width]);
+      const yScale = d3.scaleLinear().domain([0, 50]).range([layout.height, 0]);
+      const measuredValues = [1, 2, 4, 8, 16, 32, 64];
+
+      renderAxes(layout, xScale, yScale, {
+        xTickValues: measuredValues,
+        xTickFormat: String,
+      });
+
+      const labels: string[] = [];
+      layout.xAxisGroup.selectAll('.tick text').each(function () {
+        labels.push(d3.select(this).text());
+      });
+      expect(labels).toEqual(measuredValues.map(String));
+    });
+  });
+
   describe('with band scales', () => {
     it('renders band scale on x-axis', () => {
       const layout = makeLayout();
@@ -281,6 +318,24 @@ describe('renderGrid', () => {
       expect(vLines).toBeGreaterThan(0);
     });
 
+    it('uses explicit x tick values for vertical grid lines', () => {
+      const layout = makeLayout();
+      const xScale = d3.scaleLog().base(2).domain([1, 64]).range([0, layout.width]);
+      const yScale = d3.scaleLinear().domain([0, 50]).range([layout.height, 0]);
+      const measuredValues = [1, 4, 16, 64];
+
+      renderGrid(layout, xScale, yScale, 5, 0, measuredValues);
+
+      const positions: number[] = [];
+      layout.gridGroup
+        .select('.grid-v')
+        .selectAll('line')
+        .each(function () {
+          positions.push(Number(d3.select(this).attr('x1')));
+        });
+      expect(positions).toEqual(measuredValues.map((value) => xScale(value)));
+    });
+
     it('creates horizontal grid lines matching y-scale ticks', () => {
       const layout = makeLayout();
       const xScale = d3.scaleLinear().domain([0, 100]).range([0, layout.width]);
diff --git a/packages/app/src/lib/d3-chart/chart-update.ts b/packages/app/src/lib/d3-chart/chart-update.ts
index 45c458c77..fb79ac270 100644
--- a/packages/app/src/lib/d3-chart/chart-update.ts
+++ b/packages/app/src/lib/d3-chart/chart-update.ts
@@ -10,6 +10,8 @@ export interface AxisUpdateConfig {
   yTickFormat?: (d: d3.AxisDomain) => string;
   xTickCount?: number;
   yTickCount?: number;
+  xTickValues?: (number | Date)[];
+  yTickValues?: (number | Date)[];
   /** Override tick size for Y axis (default: 6, use 0 for band scales). */
   yTickSize?: number;
   /** When set, axes animate to new positions over this duration (ms). */
@@ -23,8 +25,16 @@ export function renderAxes(
   yScale: ContinuousScale | d3.ScaleBand<string>,
   config: AxisUpdateConfig,
 ): void {
-  const { xTickFormat, yTickFormat, xTickCount, yTickCount, yTickSize, transitionDuration } =
-    config;
+  const {
+    xTickFormat,
+    yTickFormat,
+    xTickCount,
+    yTickCount,
+    xTickValues,
+    yTickValues,
+    yTickSize,
+    transitionDuration,
+  } = config;
   const dur = transitionDuration ?? 0;
 
   // X axis
@@ -36,6 +46,9 @@ export function renderAxes(
   } else {
     const gen = d3.axisBottom(xScale as ContinuousScale).tickSize(6);
     if (xTickCount) gen.ticks(xTickCount);
+    if (xTickValues) {
+      gen.tickValues(visibleTickValues(xScale, xTickValues) as Iterable<d3.NumberValue>);
+    }
     if (xTickFormat) gen.tickFormat(xTickFormat as any);
     xAxisGen = gen as unknown as d3.Axis<d3.AxisDomain>;
   }
@@ -54,6 +67,9 @@ export function renderAxes(
   } else {
     const yAxisGen = d3.axisLeft(yScale as ContinuousScale).tickSize(yTickSize ?? 6);
     if (yTickCount) yAxisGen.ticks(yTickCount);
+    if (yTickValues) {
+      yAxisGen.tickValues(visibleTickValues(yScale, yTickValues) as Iterable<d3.NumberValue>);
+    }
     if (yTickFormat) yAxisGen.tickFormat(yTickFormat as any);
     const yTarget = dur > 0 ? layout.yAxisGroup.transition().duration(dur) : layout.yAxisGroup;
     (yTarget as any).call(yAxisGen as any);
@@ -67,6 +83,8 @@ export function renderGrid(
   yScale: ContinuousScale | d3.ScaleBand<string>,
   yTickCount?: number,
   transitionDuration = 0,
+  xTickValues?: (number | Date)[],
+  yTickValues?: (number | Date)[],
 ): void {
   const { width, height, gridGroup } = layout;
   const dur = transitionDuration;
@@ -87,7 +105,9 @@ export function renderGrid(
       .attr('y2', height);
   } else {
     const tickScale = xScale as { ticks: (count?: number) => number[]; (v: number): number };
-    const xTicks = tickScale.ticks();
+    const xTicks = xTickValues
+      ? (visibleTickValues(xScale, xTickValues) as number[])
+      : tickScale.ticks();
     const vJoin = vGroup
       .selectAll<SVGLineElement, number>('line')
       .data(xTicks)
@@ -126,7 +146,9 @@ export function renderGrid(
       .attr('y2', (d) => (bandScale(d) || 0) + bandScale.bandwidth() / 2)
       .style('stroke-width', 0.5);
   } else {
-    const yTicks = yScale.ticks(yTickCount ?? 5);
+    const yTicks = yTickValues
+      ? (visibleTickValues(yScale, yTickValues) as number[])
+      : yScale.ticks(yTickCount ?? 5);
     const hJoin = hGroup
       .selectAll<SVGLineElement, number>('line')
       .data(yTicks)
@@ -149,3 +171,18 @@ export function renderGrid(
       .attr('y2', (d: number) => yScale(d));
   }
 }
+
+function visibleTickValues(
+  scale: ContinuousScale | d3.ScaleTime<number, number>,
+  values: (number | Date)[],
+): (number | Date)[] {
+  const domain = scale.domain();
+  const start = Number(domain[0]);
+  const end = Number(domain.at(-1));
+  const min = Math.min(start, end);
+  const max = Math.max(start, end);
+  return values.filter((value) => {
+    const numeric = Number(value);
+    return Number.isFinite(numeric) && numeric >= min && numeric <= max;
+  });
+}
diff --git a/packages/app/src/lib/i18n.test.ts b/packages/app/src/lib/i18n.test.ts
index 492d2742d..63b6f58d7 100644
--- a/packages/app/src/lib/i18n.test.ts
+++ b/packages/app/src/lib/i18n.test.ts
@@ -41,6 +41,7 @@ describe('hasZhSibling', () => {
     expect(hasZhSibling('/')).toBe(true);
     expect(hasZhSibling('/inference')).toBe(true);
     expect(hasZhSibling('/about')).toBe(true);
+    expect(hasZhSibling('/collectivex')).toBe(true);
   });
 
   it('matches blog and compare child paths', () => {
@@ -72,12 +73,14 @@ describe('switchLocalePath', () => {
   it('switches English pages to their zh sibling', () => {
     expect(switchLocalePath('/')).toBe('/zh');
     expect(switchLocalePath('/inference')).toBe('/zh/inference');
+    expect(switchLocalePath('/collectivex')).toBe('/zh/collectivex');
     expect(switchLocalePath('/blog/some-post')).toBe('/zh/blog/some-post');
   });
 
   it('switches zh pages back to English', () => {
     expect(switchLocalePath('/zh')).toBe('/');
     expect(switchLocalePath('/zh/quotes')).toBe('/quotes');
+    expect(switchLocalePath('/zh/collectivex')).toBe('/collectivex');
     expect(switchLocalePath('/zh/blog/some-post')).toBe('/blog/some-post');
   });
 
diff --git a/packages/app/src/lib/i18n.ts b/packages/app/src/lib/i18n.ts
index 925dacdb6..cb0ae759b 100644
--- a/packages/app/src/lib/i18n.ts
+++ b/packages/app/src/lib/i18n.ts
@@ -44,6 +44,7 @@ export const ZH_MIRRORED_ROUTES: readonly { path: string; exact?: boolean }[] =
   { path: '/reliability', exact: true },
   { path: '/gpu-specs', exact: true },
   { path: '/gpu-metrics', exact: true },
+  { path: '/collectivex', exact: true },
   { path: '/submissions', exact: true },
   { path: '/ai-chart', exact: true },
   { path: '/current-inferencex-image', exact: true },
diff --git a/packages/app/src/lib/tab-meta-zh.ts b/packages/app/src/lib/tab-meta-zh.ts
index 7daec6028..93f7328c4 100644
--- a/packages/app/src/lib/tab-meta-zh.ts
+++ b/packages/app/src/lib/tab-meta-zh.ts
@@ -17,6 +17,7 @@ export const ZH_TAB_KEYS = [
   'reliability',
   'gpu-specs',
   'gpu-metrics',
+  'collectivex',
   'submissions',
   'ai-chart',
   'current-inferencex-image',
@@ -62,6 +63,11 @@ export const TAB_META_ZH: Record<ZhTabKey, { title: string; description: string
     title: 'GPU 功耗与能效指标',
     description: 'AI 推理负载下的 GPU 功耗与能效指标。跨硬件对比每瓦 token 数。',
   },
+  collectivex: {
+    title: 'CollectiveX 通信基准测试',
+    description:
+      '跨 NVIDIA 与 AMD GPU 平台对比专家并行（EP）通信性能，包括混合专家（MoE）分发（dispatch）、合并（combine）延迟与逻辑载荷速率。',
+  },
   submissions: {
     title: '基准测试提交记录',
     description:
@@ -102,6 +108,8 @@ export const TAB_INTRO_ZH: Record<ZhTabKey, string> = {
     '本页面提供 GPU 规格对比：NVIDIA、AMD 等厂商加速器的显存容量、显存带宽、FLOPS、互连拓扑与功耗规格。',
   'gpu-metrics':
     '本页面展示 GPU 功耗与能效指标（PowerX）：推理负载下的实测功耗、每瓦 token 数与每兆瓦 token 产出。',
+  collectivex:
+    '本页面展示 CollectiveX 专家并行（EP）通信基准测试结果：在统一工作负载、正确性校验与采样协议下，对比 DeepEP、MoRI、UCCL 及 NCCL/RCCL 参考实现的分发（dispatch）、合并（combine）与完整往返延迟。跨芯片速率均按逻辑载荷计算；只有发布器确认完整且稳定的官方队列才会生成排名与推荐。',
   submissions:
     '本页面列出提交到 InferenceX 的全部基准测试配置：按 GPU 厂商查看提交历史、活动趋势与数据点数量。',
   'ai-chart':
@@ -121,6 +129,7 @@ export const TAB_LABELS_ZH: Record<string, string> = {
   reliability: '可靠性',
   'gpu-specs': 'GPU 规格',
   'gpu-metrics': 'GPU 功耗',
+  collectivex: 'CollectiveX 通信',
   submissions: '提交记录',
   'ai-chart': 'AI 图表',
   'current-inferencex-image': '镜像',
diff --git a/packages/app/src/lib/tab-meta.ts b/packages/app/src/lib/tab-meta.ts
index b312a6e76..5d641b237 100644
--- a/packages/app/src/lib/tab-meta.ts
+++ b/packages/app/src/lib/tab-meta.ts
@@ -16,6 +16,7 @@ export const VALID_TABS = [
   'calculator',
   'reliability',
   'gpu-specs',
+  'collectivex',
   'ai-chart',
   'gpu-metrics',
   'submissions',
@@ -56,6 +57,11 @@ export const TAB_META: Record<TabKey, { title: string; description: string }> =
     description:
       'Detailed GPU specifications for AI inference. Compare NVIDIA, AMD, and Intel GPUs — memory bandwidth, FLOPS, interconnects, and topology.',
   },
+  collectivex: {
+    title: 'CollectiveX Communication Benchmarks',
+    description:
+      'Experimental cross-vendor expert-parallel communication benchmarks. Compare MoE dispatch and combine latency across NVIDIA and AMD GPU platforms.',
+  },
   'ai-chart': {
     title: 'AI-Powered Chart Generation',
     description:
diff --git a/packages/db/src/etl/compute-chart-series.test.ts b/packages/db/src/etl/compute-chart-series.test.ts
index 3f088cd6a..749241713 100644
--- a/packages/db/src/etl/compute-chart-series.test.ts
+++ b/packages/db/src/etl/compute-chart-series.test.ts
@@ -269,23 +269,23 @@ describe('computeChartSeries', () => {
       metrics: {
         'vllm:prompt_tokens': {
           series: [
-            buildDynamoSeries('10.30.1.56:7500', 'prefill', 'prefill-a', 100),
-            buildDynamoSeries('10.30.1.36:7508', 'prefill', 'prefill-b', 200),
-            buildDynamoSeries('10.30.1.206:7516', 'backend', 'decode-a', 300),
+            buildDynamoSeries('prefill-a.internal.test:7500', 'prefill', 'prefill-a', 100),
+            buildDynamoSeries('prefill-b.internal.test:7508', 'prefill', 'prefill-b', 200),
+            buildDynamoSeries('decode-a.internal.test:7516', 'backend', 'decode-a', 300),
           ],
         },
         'vllm:generation_tokens': {
           series: [
-            buildDynamoSeries('10.30.1.56:7500', 'prefill', 'prefill-a', 1),
-            buildDynamoSeries('10.30.1.36:7508', 'prefill', 'prefill-b', 2),
-            buildDynamoSeries('10.30.1.206:7516', 'backend', 'decode-a', 400),
+            buildDynamoSeries('prefill-a.internal.test:7500', 'prefill', 'prefill-a', 1),
+            buildDynamoSeries('prefill-b.internal.test:7508', 'prefill', 'prefill-b', 2),
+            buildDynamoSeries('decode-a.internal.test:7516', 'backend', 'decode-a', 400),
           ],
         },
         'vllm:num_requests_running': {
           series: [
-            buildDynamoSeries('10.30.1.56:7500', 'prefill', 'prefill-a', 3, 'avg'),
-            buildDynamoSeries('10.30.1.36:7508', 'prefill', 'prefill-b', 4, 'avg'),
-            buildDynamoSeries('10.30.1.206:7516', 'backend', 'decode-a', 5, 'avg'),
+            buildDynamoSeries('prefill-a.internal.test:7500', 'prefill', 'prefill-a', 3, 'avg'),
+            buildDynamoSeries('prefill-b.internal.test:7508', 'prefill', 'prefill-b', 4, 'avg'),
+            buildDynamoSeries('decode-a.internal.test:7516', 'backend', 'decode-a', 5, 'avg'),
           ],
         },
       },
@@ -299,8 +299,8 @@ describe('computeChartSeries', () => {
 
     expect(result?.metricSources).toHaveLength(3);
     expect(result?.metricSources.map(({ source: s }) => [s.role, s.workerId, s.engine])).toEqual([
-      ['prefill', 'prefill-b', '0'],
       ['prefill', 'prefill-a', '0'],
+      ['prefill', 'prefill-b', '0'],
       ['decode', 'decode-a', '0'],
     ]);
     const prefillA = result?.metricSources.find(({ source: s }) => s.workerId === 'prefill-a');
@@ -322,7 +322,7 @@ describe('computeChartSeries', () => {
         'vllm:prompt_tokens': {
           series: [
             {
-              endpoint_url: '10.30.1.56:7500',
+              endpoint_url: 'prefill-a.internal.test:7500',
               labels: { dynamo_component: 'prefill', worker_id: 'prefill-a', engine: '0' },
               timeslices: [{ start_ns: 0, end_ns: 1e9, rate: 100 }],
             },
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index 58cdbba96..457602829 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -51,6 +51,9 @@ importers:
       '@noble/ciphers':
         specifier: ^2.2.0
         version: 2.2.0
+      '@noble/hashes':
+        specifier: ^2.2.0
+        version: 2.2.0
       '@posthog/nextjs-config':
         specifier: ^1.9.68
         version: 1.9.68(next@16.2.9(@babel/core@8.0.1)(@opentelemetry/api@1.9.1)(react-dom@19.2.7(react@19.2.7))(react@19.2.7))(webpack@5.106.2(esbuild@0.28.1)(postcss@8.5.15))
@@ -165,6 +168,9 @@ importers:
       three:
         specifier: ^0.185.0
         version: 0.185.0
+      zod:
+        specifier: ^4.4.3
+        version: 4.4.3
     devDependencies:
       '@bahmutov/cypress-esbuild-preprocessor':
         specifier: ^2.2.8
@@ -216,7 +222,7 @@ importers:
         version: 6.2.5
       jsdom:
         specifier: ^29.1.1
-        version: 29.1.1
+        version: 29.1.1(@noble/hashes@2.2.0)
       tailwindcss:
         specifier: ^4.3.2
         version: 4.3.2
@@ -231,7 +237,7 @@ importers:
         version: 6.0.3
       vitest:
         specifier: ^4.1.9
-        version: 4.1.9(@opentelemetry/api@1.9.1)(@types/node@26.0.1)(@vitest/coverage-v8@4.1.9)(jsdom@29.1.1)(vite@8.1.0(@types/node@26.0.1)(esbuild@0.28.1)(jiti@2.7.0)(terser@5.47.1)(tsx@4.22.4)(yaml@2.9.0))
+        version: 4.1.9(@opentelemetry/api@1.9.1)(@types/node@26.0.1)(@vitest/coverage-v8@4.1.9)(jsdom@29.1.1(@noble/hashes@2.2.0))(vite@8.1.0(@types/node@26.0.1)(esbuild@0.28.1)(jiti@2.7.0)(terser@5.47.1)(tsx@4.22.4)(yaml@2.9.0))
 
   packages/constants:
     devDependencies:
@@ -240,7 +246,7 @@ importers:
         version: 4.1.9(vitest@4.1.9)
       vitest:
         specifier: ^4.1.9
-        version: 4.1.9(@opentelemetry/api@1.9.1)(@types/node@26.0.1)(@vitest/coverage-v8@4.1.9)(jsdom@29.1.1)(vite@8.1.0(@types/node@26.0.1)(esbuild@0.28.1)(jiti@2.7.0)(terser@5.47.1)(tsx@4.22.4)(yaml@2.9.0))
+        version: 4.1.9(@opentelemetry/api@1.9.1)(@types/node@26.0.1)(@vitest/coverage-v8@4.1.9)(jsdom@29.1.1(@noble/hashes@2.2.0))(vite@8.1.0(@types/node@26.0.1)(esbuild@0.28.1)(jiti@2.7.0)(terser@5.47.1)(tsx@4.22.4)(yaml@2.9.0))
 
   packages/db:
     dependencies:
@@ -289,7 +295,7 @@ importers:
         version: 6.0.3
       vitest:
         specifier: ^4.1.9
-        version: 4.1.9(@opentelemetry/api@1.9.1)(@types/node@26.0.1)(@vitest/coverage-v8@4.1.9)(jsdom@29.1.1)(vite@8.1.0(@types/node@26.0.1)(esbuild@0.28.1)(jiti@2.7.0)(terser@5.47.1)(tsx@4.22.4)(yaml@2.9.0))
+        version: 4.1.9(@opentelemetry/api@1.9.1)(@types/node@26.0.1)(@vitest/coverage-v8@4.1.9)(jsdom@29.1.1(@noble/hashes@2.2.0))(vite@8.1.0(@types/node@26.0.1)(esbuild@0.28.1)(jiti@2.7.0)(terser@5.47.1)(tsx@4.22.4)(yaml@2.9.0))
 
   packages/mcp:
     dependencies:
@@ -323,7 +329,7 @@ importers:
         version: 6.0.3
       vitest:
         specifier: ^4.1.9
-        version: 4.1.9(@opentelemetry/api@1.9.1)(@types/node@26.0.1)(@vitest/coverage-v8@4.1.9)(jsdom@29.1.1)(vite@8.1.0(@types/node@26.0.1)(esbuild@0.28.1)(jiti@2.7.0)(terser@5.47.1)(tsx@4.22.4)(yaml@2.9.0))
+        version: 4.1.9(@opentelemetry/api@1.9.1)(@types/node@26.0.1)(@vitest/coverage-v8@4.1.9)(jsdom@29.1.1(@noble/hashes@2.2.0))(vite@8.1.0(@types/node@26.0.1)(esbuild@0.28.1)(jiti@2.7.0)(terser@5.47.1)(tsx@4.22.4)(yaml@2.9.0))
 
 packages:
 
@@ -985,6 +991,10 @@ packages:
     resolution: {integrity: sha512-Z6pjIZ/8IJcCGzb2S/0Px5J81yij85xASuk1teLNeg75bfT07MV3a/O2Mtn1I2se43k3lkVEcFaR10N4cgQcZA==}
     engines: {node: '>= 20.19.0'}
 
+  '@noble/hashes@2.2.0':
+    resolution: {integrity: sha512-IYqDGiTXab6FniAgnSdZwgWbomxpy9FtYvLKs7wCUs2a8RkITG+DFGO1DM9cr+E3/RgADRpFjrKVaJ1z6sjtEg==}
+    engines: {node: '>= 20.19.0'}
+
   '@nodelib/fs.scandir@2.1.5':
     resolution: {integrity: sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g==}
     engines: {node: '>= 8'}
@@ -5773,7 +5783,9 @@ snapshots:
   '@esbuild/win32-x64@0.28.1':
     optional: true
 
-  '@exodus/bytes@1.15.0': {}
+  '@exodus/bytes@1.15.0(@noble/hashes@2.2.0)':
+    optionalDependencies:
+      '@noble/hashes': 2.2.0
 
   '@floating-ui/core@1.7.5':
     dependencies:
@@ -6014,6 +6026,8 @@ snapshots:
 
   '@noble/ciphers@2.2.0': {}
 
+  '@noble/hashes@2.2.0': {}
+
   '@nodelib/fs.scandir@2.1.5':
     dependencies:
       '@nodelib/fs.stat': 2.0.5
@@ -7085,7 +7099,7 @@ snapshots:
       obug: 2.1.1
       std-env: 4.1.0
       tinyrainbow: 3.1.0
-      vitest: 4.1.9(@opentelemetry/api@1.9.1)(@types/node@26.0.1)(@vitest/coverage-v8@4.1.9)(jsdom@29.1.1)(vite@8.1.0(@types/node@26.0.1)(esbuild@0.28.1)(jiti@2.7.0)(terser@5.47.1)(tsx@4.22.4)(yaml@2.9.0))
+      vitest: 4.1.9(@opentelemetry/api@1.9.1)(@types/node@26.0.1)(@vitest/coverage-v8@4.1.9)(jsdom@29.1.1(@noble/hashes@2.2.0))(vite@8.1.0(@types/node@26.0.1)(esbuild@0.28.1)(jiti@2.7.0)(terser@5.47.1)(tsx@4.22.4)(yaml@2.9.0))
 
   '@vitest/expect@4.1.9':
     dependencies:
@@ -7785,10 +7799,10 @@ snapshots:
     dependencies:
       assert-plus: 1.0.0
 
-  data-urls@7.0.0:
+  data-urls@7.0.0(@noble/hashes@2.2.0):
     dependencies:
       whatwg-mimetype: 5.0.0
-      whatwg-url: 16.0.1
+      whatwg-url: 16.0.1(@noble/hashes@2.2.0)
     transitivePeerDependencies:
       - '@noble/hashes'
 
@@ -8541,9 +8555,9 @@ snapshots:
 
   hono@4.12.25: {}
 
-  html-encoding-sniffer@6.0.0:
+  html-encoding-sniffer@6.0.0(@noble/hashes@2.2.0):
     dependencies:
-      '@exodus/bytes': 1.15.0
+      '@exodus/bytes': 1.15.0(@noble/hashes@2.2.0)
     transitivePeerDependencies:
       - '@noble/hashes'
 
@@ -8787,17 +8801,17 @@ snapshots:
 
   jsbn@0.1.1: {}
 
-  jsdom@29.1.1:
+  jsdom@29.1.1(@noble/hashes@2.2.0):
     dependencies:
       '@asamuzakjp/css-color': 5.1.11
       '@asamuzakjp/dom-selector': 7.1.1
       '@bramus/specificity': 2.4.2
       '@csstools/css-syntax-patches-for-csstree': 1.1.4(css-tree@3.2.1)
-      '@exodus/bytes': 1.15.0
+      '@exodus/bytes': 1.15.0(@noble/hashes@2.2.0)
       css-tree: 3.2.1
-      data-urls: 7.0.0
+      data-urls: 7.0.0(@noble/hashes@2.2.0)
       decimal.js: 10.6.0
-      html-encoding-sniffer: 6.0.0
+      html-encoding-sniffer: 6.0.0(@noble/hashes@2.2.0)
       is-potential-custom-element-name: 1.0.1
       lru-cache: 11.3.6
       parse5: 8.0.1
@@ -8808,7 +8822,7 @@ snapshots:
       w3c-xmlserializer: 5.0.0
       webidl-conversions: 8.0.1
       whatwg-mimetype: 5.0.0
-      whatwg-url: 16.0.1
+      whatwg-url: 16.0.1(@noble/hashes@2.2.0)
       xml-name-validator: 5.0.0
     transitivePeerDependencies:
       - '@noble/hashes'
@@ -10613,7 +10627,7 @@ snapshots:
       tsx: 4.22.4
       yaml: 2.9.0
 
-  vitest@4.1.9(@opentelemetry/api@1.9.1)(@types/node@26.0.1)(@vitest/coverage-v8@4.1.9)(jsdom@29.1.1)(vite@8.1.0(@types/node@26.0.1)(esbuild@0.28.1)(jiti@2.7.0)(terser@5.47.1)(tsx@4.22.4)(yaml@2.9.0)):
+  vitest@4.1.9(@opentelemetry/api@1.9.1)(@types/node@26.0.1)(@vitest/coverage-v8@4.1.9)(jsdom@29.1.1(@noble/hashes@2.2.0))(vite@8.1.0(@types/node@26.0.1)(esbuild@0.28.1)(jiti@2.7.0)(terser@5.47.1)(tsx@4.22.4)(yaml@2.9.0)):
     dependencies:
       '@vitest/expect': 4.1.9
       '@vitest/mocker': 4.1.9(vite@8.1.0(@types/node@26.0.1)(esbuild@0.28.1)(jiti@2.7.0)(terser@5.47.1)(tsx@4.22.4)(yaml@2.9.0))
@@ -10639,7 +10653,7 @@ snapshots:
       '@opentelemetry/api': 1.9.1
       '@types/node': 26.0.1
       '@vitest/coverage-v8': 4.1.9(vitest@4.1.9)
-      jsdom: 29.1.1
+      jsdom: 29.1.1(@noble/hashes@2.2.0)
     transitivePeerDependencies:
       - msw
 
@@ -10705,9 +10719,9 @@ snapshots:
 
   whatwg-mimetype@5.0.0: {}
 
-  whatwg-url@16.0.1:
+  whatwg-url@16.0.1(@noble/hashes@2.2.0):
     dependencies:
-      '@exodus/bytes': 1.15.0
+      '@exodus/bytes': 1.15.0(@noble/hashes@2.2.0)
       tr46: 6.0.0
       webidl-conversions: 8.0.1
     transitivePeerDependencies:

From c778e03460cd5121127828ddbc0ba516ae1c4d89 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Mon, 6 Jul 2026 09:21:13 +0800
Subject: [PATCH 02/37] feat(collectivex): finalize v1 matrix explorer

---
 AGENTS.md                                     |   2 +
 package.json                                  |   4 +-
 packages/app/cypress/e2e/collectivex.cy.ts    | 318 ++++----
 .../collectivex-data/[...path]/route.test.ts  |   4 +-
 .../app/collectivex-data/[...path]/route.ts   |   7 +-
 .../collectivex/CollectiveXChart.tsx          |  12 +-
 .../collectivex/CollectiveXDisplay.tsx        | 123 ++-
 .../collectivex/CollectiveXInventory.tsx      | 725 ++++++++++++++++++
 .../collectivex/CollectiveXTables.tsx         |  68 +-
 .../src/components/collectivex/data.test.ts   |  69 +-
 .../app/src/components/collectivex/data.ts    |  28 +-
 .../collectivex/full-catalog.v1.json          |   1 +
 .../src/components/collectivex/reader.test.ts | 142 +++-
 .../app/src/components/collectivex/reader.ts  | 272 ++++++-
 .../components/collectivex/test-fixture.ts    | 368 +++++++--
 .../app/src/components/collectivex/types.ts   | 348 ++++++++-
 .../app/src/lib/collectivex-github.test.ts    | 119 ++-
 packages/app/src/lib/collectivex-github.ts    | 136 ++--
 18 files changed, 2301 insertions(+), 445 deletions(-)
 create mode 100644 packages/app/src/components/collectivex/CollectiveXInventory.tsx
 create mode 100644 packages/app/src/components/collectivex/full-catalog.v1.json

diff --git a/AGENTS.md b/AGENTS.md
index 3d3b6c68a..899ccd306 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -2,6 +2,8 @@
 
 For detailed subsystem docs, see [docs/index.md](./docs/index.md).
 
+> **Temporary language override (highest repository priority):** Until the user explicitly removes this override, ignore any instruction elsewhere in this repository that requires Simplified Chinese or bilingual output, including instructions in later sections, nested agent files, contribution guides, checklists, and templates. Work in English only: do not create or update `/zh` pages, Chinese documentation, translations, or Chinese text in commits, pull requests, issues, reviews, or comments. Leave existing Chinese content untouched.
+
 > **PR and GitHub-issue titles & descriptions must be bilingual — include a Simplified Chinese version in addition to English.** Title format: `<English title> / <中文标题>` (keep bracket prefixes at the front untranslated). In the PR/issue body, follow the English content with a `## 中文说明` section mirroring the summary; don't translate code blocks, logs, or stack traces — summarize around them. **Commit messages must include a Chinese translation too**: keep the subject line in English (conventional-commit style) and include the Chinese translation of the subject and key points in the commit body (e.g. a trailing `中文：<translation>` paragraph); squash-merge commits inherit the bilingual PR title, which satisfies the subject requirement automatically.
 
 > **Translation quality bar:** write natural technical Chinese, not word-for-word machine translation (style reference: [`vllm-project/vllm-ascend` `README.zh.md`](https://github.com/vllm-project/vllm-ascend/blob/main/README.zh.md)). Preserve product names, hardware SKUs, framework/library names (Next.js, React Query, D3.js, Tailwind ...), flags, and code identifiers in English. Use parenthetical English clarification for acronyms on first use. Preferred terms: benchmark 基准测试, dashboard 仪表板, chart 图表, config 配置, throughput 吞吐量, latency 延迟, single-node/multi-node 单节点/多节点, evaluation 评估, artifact 产物.
diff --git a/package.json b/package.json
index 90cb8bb36..074f8b0db 100644
--- a/package.json
+++ b/package.json
@@ -19,8 +19,8 @@
     "security": "pnpm audit && audit-ci",
     "lint": "oxlint --no-error-on-unmatched-pattern",
     "lint:fix": "oxlint --fix --no-error-on-unmatched-pattern",
-    "fmt": "oxfmt --check --no-error-on-unmatched-pattern",
-    "fmt:fix": "oxfmt --write --no-error-on-unmatched-pattern",
+    "fmt": "oxfmt --check --no-error-on-unmatched-pattern '!**/full-catalog.v1.json'",
+    "fmt:fix": "oxfmt --write --no-error-on-unmatched-pattern '!**/full-catalog.v1.json'",
     "test": "pnpm --filter *app --color=always test",
     "test:e2e": "pnpm --filter *app --color=always test:e2e",
     "test:e2e:component": "pnpm --filter *app --color=always test:e2e:component",
diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index d93ee6a8d..558086e97 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -3,12 +3,12 @@ import {
   makeCollectiveXContractDataset,
   makeCollectiveXDatasetWithPrefillCohort,
   makeCollectiveXDatasetWithDiagnosticCohort,
-  makeCollectiveXDiagnosticDataset,
+  makeCollectiveXDatasetWithPrecisionCohorts,
+  makeCollectiveXInventoryDataset,
 } from '@/components/collectivex/test-fixture';
 import type { CollectiveXDataset } from '@/components/collectivex/types';
 
-type Channel = 'dev-latest' | 'latest-attempt';
-const channelUrl = (channel: Channel) => `/collectivex-data/v1/channels/${channel}.json`;
+const channelUrl = '/collectivex-data/v1/channels/dev-latest.json';
 
 async function sha256(value: string): Promise<string> {
   const digest = await crypto.subtle.digest('SHA-256', new TextEncoder().encode(value));
@@ -17,18 +17,17 @@ async function sha256(value: string): Promise<string> {
 
 function installPublication(
   dataset: CollectiveXDataset | Record<string, unknown> = makeCollectiveXDataset(),
-  options: { channel?: Channel; digest?: string; delay?: number } = {},
+  options: { digest?: string; delay?: number } = {},
 ) {
-  const channel = options.channel ?? 'dev-latest';
   const body = JSON.stringify(dataset);
   const generatedAt =
     typeof dataset.generated_at === 'string' ? dataset.generated_at : '2026-07-04T01:00:00Z';
   return cy.wrap(sha256(body), { log: false }).then((actualDigest) => {
     const digest = options.digest ?? actualDigest;
-    cy.intercept('GET', channelUrl(channel), {
+    cy.intercept('GET', channelUrl, {
       body: {
         format: 'collectivex.channel.v1',
-        channel,
+        channel: 'dev-latest',
         generated_at: generatedAt,
         dataset: {
           path: `datasets/${digest}/dataset.json`,
@@ -36,12 +35,12 @@ function installPublication(
           bytes: new TextEncoder().encode(body).length,
         },
       },
-    }).as(`collectivexChannel-${channel}`);
+    }).as('collectivexChannel-dev-latest');
     cy.intercept('GET', `/collectivex-data/v1/datasets/${digest}/dataset.json`, {
       body,
       delay: options.delay,
       headers: { 'content-type': 'application/json' },
-    }).as(`collectivexDataset-${channel}`);
+    }).as('collectivexDataset-dev-latest');
   });
 }
 
@@ -54,7 +53,6 @@ function openCollectiveX() {
 describe('CollectiveX native publication', () => {
   beforeEach(() => {
     installPublication();
-    installPublication(makeCollectiveXDiagnosticDataset(), { channel: 'latest-attempt' });
     openCollectiveX();
   });
 
@@ -68,6 +66,7 @@ describe('CollectiveX native publication', () => {
       .contains('button', 'Controlled')
       .should('have.attr', 'aria-selected', 'true');
     cy.get('[data-testid="collectivex-version-select"]').should('contain.text', 'V1');
+    cy.get('[data-testid="collectivex-channel-toggle"]').should('not.exist');
     cy.get('[data-testid="collectivex-mode-select"]').should('contain.text', 'Normal');
     cy.get('[data-testid="collectivex-ep-select"]').should('contain.text', 'EP8');
     cy.get('[data-testid="collectivex-fabric-scope-toggle"]')
@@ -112,6 +111,141 @@ describe('CollectiveX native publication', () => {
     cy.get('[data-testid="collectivex-cohort-select"]').click();
   });
 
+  it('makes the full matrix inventory primary and exposes point-level evidence', () => {
+    const inventory = makeCollectiveXInventoryDataset();
+    installPublication(inventory);
+    cy.reload();
+    cy.wait('@collectivexChannel-dev-latest');
+    const unsupportedCases = inventory.coverage.filter(
+      (item) => item.disposition === 'unsupported',
+    );
+    const unsupportedPoints = unsupportedCases.reduce(
+      (total, item) => total + item.points.length,
+      0,
+    );
+    const measuredPoints = inventory.coverage
+      .filter((item) => item.disposition === 'runnable')
+      .reduce((total, item) => total + item.points.length, 0);
+
+    cy.get('[data-testid="collectivex-inventory"]')
+      .should('be.visible')
+      .and('contain.text', 'Matrix case inventory')
+      .and('contain.text', `${inventory.coverage.length} of ${inventory.coverage.length} cases`)
+      .and('contain.text', `${measuredPoints} measured points`)
+      .and('contain.text', `${unsupportedPoints} unsupported points`);
+    cy.get('[data-testid="collectivex-version-select"]').should('contain.text', 'V1');
+    [
+      'sku',
+      'backend',
+      'ep',
+      'mode',
+      'phase',
+      'routing',
+      'topology',
+      'dispatch-precision',
+      'combine-precision',
+      'tier',
+      'terminal',
+    ].forEach((filter) =>
+      cy.get(`[data-testid="collectivex-inventory-${filter}"]`).should('be.visible'),
+    );
+    cy.get('[data-testid="collectivex-inventory-table"]')
+      .should('contain.text', 'Dispatch precision')
+      .and('contain.text', 'Combine precision')
+      .and('contain.text', 'Point terminal status');
+
+    cy.get('[data-testid="collectivex-case-detail"]')
+      .should('contain.text', 'Selected matrix case')
+      .and('contain.text', 'Resource')
+      .and('contain.text', 'Topology')
+      .and('contain.text', 'Dispatch precision')
+      .and('contain.text', 'Combine precision');
+    cy.get('[data-testid="collectivex-case-points-table"]').should(
+      'contain.text',
+      '3/3 qualification runs',
+    );
+
+    const precision = inventory.coverage.find(
+      (item) =>
+        item.dispatch_precision.communication_format !== 'bf16' ||
+        item.combine_precision.communication_format !== 'bf16',
+    );
+    if (precision) {
+      const matchingCases = inventory.coverage.filter(
+        (item) => item.precision_profile === precision.precision_profile,
+      ).length;
+      cy.get('[data-testid="collectivex-inventory-dispatch-precision"]').click();
+      cy.contains(
+        '[role="option"]',
+        `${precision.dispatch_precision.communication_format} · ${precision.dispatch_precision.quantization_origin}`,
+      ).click();
+      cy.get('[data-testid="collectivex-inventory-combine-precision"]').click();
+      cy.contains(
+        '[role="option"]',
+        `${precision.combine_precision.communication_format} · ${precision.combine_precision.quantization_origin}`,
+      ).click();
+      cy.get('[data-testid="collectivex-inventory"]').should(
+        'contain.text',
+        `${matchingCases} of ${inventory.coverage.length} cases`,
+      );
+    }
+
+    cy.get('[data-testid="collectivex-inventory-terminal"]').click();
+    cy.contains('[role="option"]', 'unsupported').click();
+    cy.get('[data-testid="collectivex-case-points-table"]')
+      .should('contain.text', 'unsupported')
+      .and('contain.text', 'Unavailable');
+
+    installPublication(makeCollectiveXDataset());
+    cy.reload();
+    cy.wait('@collectivexChannel-dev-latest');
+    cy.get('[data-testid="collectivex-case-points-table"]')
+      .should('contain.text', 'Dispatch')
+      .and('contain.text', 'Stage')
+      .and('contain.text', 'Combine')
+      .and('contain.text', 'Round trip')
+      .and('contain.text', 'Isolated sum')
+      .and('contain.text', '512/512 samples')
+      .and('contain.text', '3/3 qualification runs')
+      .and('contain.text', 'Semantic pass')
+      .and('contain.text', 'Stability')
+      .and('contain.text', 'Trial diagnostics')
+      .and('contain.text', '192 trials')
+      .and('contain.text', 'No trial flags')
+      .and('contain.text', 'none declared');
+  });
+
+  it('renders publisher-declared dispatch, combine, and precision-pair cohorts', () => {
+    installPublication(makeCollectiveXDatasetWithPrecisionCohorts());
+    cy.reload();
+    cy.wait('@collectivexChannel-dev-latest');
+
+    cy.get('[data-testid="collectivex-cohort-select"]').click();
+    cy.get('[data-slot="select-content"]')
+      .should('contain.text', 'Dispatch precision')
+      .and('contain.text', 'Combine precision')
+      .and('contain.text', 'Precision pairs');
+    cy.contains('[role="option"]', 'dispatch-precision / normal / fixture comparison').click();
+    cy.contains('[role="tab"]', 'Decisions').click();
+    cy.get('[data-testid="collectivex-rankings"]').should(
+      'contain.text',
+      'dispatch-precision publisher ranking',
+    );
+    cy.get('[data-testid="collectivex-sensitivity"]').should(
+      'contain.text',
+      'dispatch-precision publisher sensitivity',
+    );
+    cy.get('[data-testid="collectivex-recommendations"]').should('not.exist');
+
+    cy.get('[data-testid="collectivex-cohort-select"]').click();
+    cy.contains('[role="option"]', 'precision-pair / normal / fixture comparison').click();
+    cy.get('[data-testid="collectivex-rankings"]')
+      .should('contain.text', 'No data available for the current filters.')
+      .and('not.contain.text', 'precision-pair publisher ranking');
+    cy.get('[data-testid="collectivex-sensitivity"]').should('not.exist');
+    cy.get('[data-testid="collectivex-recommendations"]').should('not.exist');
+  });
+
   it('serves the bilingual sibling from the same isolated publication', () => {
     cy.visit('/zh/collectivex');
     cy.wait('@collectivexChannel-dev-latest');
@@ -129,9 +263,6 @@ describe('CollectiveX native publication', () => {
         'href',
         `https://github.com/SemiAnalysisAI/InferenceX/blob/${'a'.repeat(40)}/experimental/CollectiveX/docs/methodology_zh.md`,
       );
-    cy.get('[data-testid="collectivex-channel-toggle"]')
-      .contains('button', '已发布')
-      .should('have.attr', 'aria-selected', 'true');
     cy.get('[data-testid="collectivex-scope-toggle"]').should('contain.text', '受控对比');
     cy.get('[data-testid="collectivex-operation-select"]').should('contain.text', '往返');
     cy.get('[data-testid="chart-legend"] input[type="text"]')
@@ -208,12 +339,19 @@ describe('CollectiveX native publication', () => {
   });
 
   it('selects exact low-latency EP16 scale-out semantics without mixing normal mode', () => {
-    installPublication(makeCollectiveXContractDataset(), { channel: 'latest-attempt' });
-    cy.get('[data-testid="collectivex-channel-toggle"]')
-      .contains('button', 'Latest attempt')
-      .click();
-    cy.wait('@collectivexChannel-latest-attempt');
+    const contract = makeCollectiveXContractDataset();
+    const lowLatency = contract.series.find((item) => item.mode === 'low-latency')!;
+    lowLatency.status = 'diagnostic';
+    lowLatency.eligibility = {
+      ...lowLatency.eligibility,
+      decision_grade: false,
+      reasons: ['not-in-controlled-cohort'],
+    };
+    installPublication(contract);
+    cy.reload();
+    cy.wait('@collectivexChannel-dev-latest');
 
+    cy.get('[data-testid="collectivex-scope-toggle"]').contains('button', 'Diagnostics').click();
     cy.get('[data-testid="collectivex-mode-select"]').contains('button', 'Low latency').click();
     cy.get('[data-testid="collectivex-ep-select"]').click();
     cy.contains('[role="option"]', 'EP16').click();
@@ -373,7 +511,7 @@ describe('CollectiveX native publication', () => {
     cy.viewport(390, 844);
     cy.visit('/zh/collectivex');
     cy.wait('@collectivexChannel-dev-latest');
-    cy.get('[data-testid="collectivex-channel-toggle"]').should('be.visible');
+    cy.get('[data-testid="collectivex-version-select"]').should('be.visible');
     cy.get('[data-testid="collectivex-mode-select"]').should('be.visible');
     cy.get('[data-testid="collectivex-ep-select"]').should('be.visible');
     cy.get('[data-testid="collectivex-fabric-scope-toggle"]').should('be.visible');
@@ -397,17 +535,15 @@ describe('CollectiveX native publication', () => {
       })
       .scrollTo('right');
     cy.get('[data-testid="collectivex-recommendations-table"]')
-      .find('[data-testid="data-table-pagination-summary"]')
-      .should('have.text', '第 1–4 行，共 4 行');
+      .find('tbody tr')
+      .should('have.length', 1);
     cy.get('[data-testid="collectivex-recommendations-table"]')
       .find('[data-testid="data-table-page-size"]')
       .should('contain.text', '每页')
       .and('contain.text', '25')
       .and('contain.text', '行');
     cy.get('[data-testid="collectivex-rankings-table"] input').type('正式');
-    cy.get('[data-testid="collectivex-rankings-table"]')
-      .find('[data-testid="data-table-pagination-summary"]')
-      .should('have.text', '第 1–8 行，共 8 行（筛选自 8 行）');
+    cy.get('[data-testid="collectivex-rankings-table"]').find('tbody tr').should('have.length', 12);
 
     cy.contains('[role="tab"]', '证据').click();
     cy.get('[data-testid="collectivex-coverage-table"]')
@@ -475,85 +611,8 @@ describe('CollectiveX native publication', () => {
       .and('contain.text', 'H100 EP8 · mori');
   });
 
-  it('resolves the latest-attempt channel without carrying published data forward', () => {
-    cy.get('[data-testid="collectivex-channel-toggle"]')
-      .contains('button', 'Latest attempt')
-      .click();
-    cy.wait('@collectivexChannel-latest-attempt');
-
-    cy.get('[data-testid="collectivex-display"]')
-      .should('contain.text', 'diagnostic')
-      .and('contain.text', '1/1')
-      .and('contain.text', '2')
-      .and('contain.text', 'H100 EP8 · nccl-ep')
-      .and('not.contain.text', 'H100 EP8 · deepep');
-  });
-
-  it('resets diagnostic cohorts and filters when the publication changes', () => {
-    installPublication(makeCollectiveXDatasetWithDiagnosticCohort());
-    const latest = makeCollectiveXDiagnosticDataset();
-    latest.series[0].label = 'MI300X EP8 · nccl-ep';
-    latest.series[0].system = {
-      ...latest.series[0].system,
-      sku: 'mi300x',
-      label: 'AMD Instinct MI300X',
-      vendor: 'amd',
-      topology_class: 'single-node-xgmi',
-      transport: 'xgmi',
-    };
-    latest.coverage[0].sku = 'mi300x';
-    installPublication(latest, { channel: 'latest-attempt' });
-    cy.reload();
-    cy.wait('@collectivexChannel-dev-latest');
-
-    cy.get('[data-testid="collectivex-scope-toggle"]').contains('button', 'Diagnostics').click();
-    cy.get('[data-testid="collectivex-sku-select"]').click();
-    cy.contains('[role="option"]', 'H100').click();
-    cy.get('[data-testid="collectivex-cohort-select"]').click();
-    cy.contains('[role="option"]', 'H100 EP8 library comparison').click();
-    cy.get('[data-testid="collectivex-sku-select"]').should('not.exist');
-    cy.get('[data-testid="collectivex-channel-toggle"]')
-      .contains('button', 'Latest attempt')
-      .click();
-    cy.wait('@collectivexChannel-latest-attempt');
-
-    cy.get('[data-testid="collectivex-cohort-select"]').should(
-      'contain.text',
-      'All diagnostic evidence',
-    );
-    cy.get('[data-testid="collectivex-sku-select"]').should('contain.text', 'All');
-    cy.get('[data-testid="collectivex-main-chart"]')
-      .should('contain.text', 'MI300X EP8 · nccl-ep')
-      .and('not.contain.text', 'H100 EP8 · deepep');
-  });
-
-  it('never promotes latest-attempt candidates in the browser', () => {
-    const unpromoted = makeCollectiveXDataset();
-    unpromoted.promotion.status = 'diagnostic';
-    installPublication(unpromoted, { channel: 'latest-attempt' });
-    cy.get('[data-testid="collectivex-channel-toggle"]')
-      .contains('button', 'Latest attempt')
-      .click();
-    cy.wait('@collectivexChannel-latest-attempt');
-
-    cy.get('[data-testid="collectivex-scope-toggle"]')
-      .find('button')
-      .should('have.length', 1)
-      .and('contain.text', 'Diagnostics');
-    cy.get('[data-testid="collectivex-main-chart"]')
-      .should('contain.text', 'H100 EP8 · deepep')
-      .and('contain.text', 'H100 EP8 · nccl-ep');
-
-    cy.contains('[role="tab"]', 'Decisions').click();
-    cy.get('[data-testid="collectivex-unpromoted-decisions"]').should(
-      'contain.text',
-      'does not drive rankings or recommendations',
-    );
-    cy.get('[data-testid="collectivex-rankings"]').should('not.exist');
-  });
-
-  it('can inspect the latest attempt before the first promotion exists', () => {
-    cy.intercept('GET', channelUrl('dev-latest'), {
+  it('keeps the version selector available when no promotion exists', () => {
+    cy.intercept('GET', channelUrl, {
       statusCode: 404,
       headers: { 'X-CollectiveX-Status': 'channel-unavailable' },
     }).as('missingPromotion');
@@ -563,18 +622,12 @@ describe('CollectiveX native publication', () => {
       .should('be.visible')
       .and('contain.text', 'No promoted CollectiveX publication is available yet.')
       .and('not.contain.text', 'publication rejected');
-
-    cy.get('[data-testid="collectivex-error-channel-toggle"]')
-      .contains('button', 'Latest attempt')
-      .click();
-    cy.wait('@collectivexChannel-latest-attempt');
-    cy.get('[data-testid="collectivex-display"]')
-      .should('be.visible')
-      .and('contain.text', 'diagnostic');
+    cy.get('[data-testid="collectivex-error-version-select"]').should('contain.text', 'V1');
+    cy.get('[data-testid="collectivex-error-channel-toggle"]').should('not.exist');
   });
 
   it('reports an unavailable GitHub publication source as deployment availability', () => {
-    cy.intercept('GET', channelUrl('dev-latest'), {
+    cy.intercept('GET', channelUrl, {
       statusCode: 503,
       headers: { 'X-CollectiveX-Status': 'source-unavailable' },
     }).as('unavailableSource');
@@ -621,7 +674,7 @@ describe('CollectiveX native publication', () => {
       .and('contain.text', '1.0.0 · backend-default · build dddddddd · series 00000001 · official');
     cy.get('[data-testid="collectivex-recommendations-table"] tbody tr')
       .first()
-      .should('contain.text', 'p50 latency');
+      .should('contain.text', 'p99 latency');
     cy.get('[data-testid="collectivex-comparison-contract"]')
       .should('contain.text', 'Comparison contract')
       .and('contain.text', 'Held constant')
@@ -649,20 +702,7 @@ describe('CollectiveX native publication', () => {
       .should('contain.text', 'p50 latency');
   });
 
-  it('localizes the bootstrap publication reason in Chinese', () => {
-    const bootstrap = makeCollectiveXDiagnosticDataset();
-    bootstrap.promotion.reason = 'awaiting-v1-runs';
-    installPublication(bootstrap, { channel: 'latest-attempt' });
-    cy.visit('/zh/collectivex');
-    cy.wait('@collectivexChannel-dev-latest');
-    cy.get('[data-testid="collectivex-channel-toggle"]').contains('button', '最新尝试').click();
-    cy.wait('@collectivexChannel-latest-attempt');
-    cy.get('[data-testid="collectivex-promotion-reason"]')
-      .should('contain.text', '等待 CollectiveX v1 运行结果')
-      .and('not.contain.text', 'awaiting-v1-runs');
-  });
-
-  it('shows terminal coverage and every retained retry', () => {
+  it('shows terminal coverage and retained publication attempts', () => {
     cy.contains('[role="tab"]', 'Evidence').click();
 
     cy.get('[data-testid="collectivex-coverage-table"]')
@@ -685,18 +725,8 @@ describe('CollectiveX native publication', () => {
       .and('contain.text', 'a'.repeat(64))
       .and('contain.text', 'b'.repeat(64))
       .and('contain.text', 'c'.repeat(64));
-
-    cy.get('[data-testid="collectivex-channel-toggle"]')
-      .contains('button', 'Latest attempt')
-      .click();
-    cy.wait('@collectivexChannel-latest-attempt');
-    cy.contains('[role="tab"]', 'Evidence').click();
     cy.get('[data-testid="collectivex-attempts-table"]')
-      .should('contain.text', 'timeout')
-      .and('contain.text', 'execution-timeout')
-      .and('contain.text', 'failed')
-      .and('contain.text', 'retained')
-      .and('contain.text', 'allocation selection')
+      .should('contain.text', 'allocation selection')
       .and('contain.text', 'terminal selection')
       .and('contain.text', 'Attempt ID')
       .and('contain.text', 'nccl-ep decode')
@@ -717,7 +747,7 @@ describe('CollectiveX native publication', () => {
         cy.get('[data-testid="collectivex-attempts-table"]').should('contain.text', id.slice(-8));
       });
     cy.get('[data-testid="collectivex-provenance"]')
-      .should('contain.text', 'latest-attempt')
+      .should('contain.text', 'dev-latest')
       .and('contain.text', 'Dataset SHA-256');
   });
 
@@ -733,14 +763,12 @@ describe('CollectiveX native publication', () => {
   });
 
   it('renders loading while resolving immutable bytes', () => {
-    const delayed = makeCollectiveXDiagnosticDataset();
+    const delayed = makeCollectiveXDataset();
     delayed.generated_at = '2026-07-04T02:00:00Z';
-    installPublication(delayed, { channel: 'latest-attempt', delay: 750 });
-    cy.get('[data-testid="collectivex-channel-toggle"]')
-      .contains('button', 'Latest attempt')
-      .click();
+    installPublication(delayed, { delay: 750 });
+    cy.reload();
     cy.get('[data-testid="collectivex-loading"]').should('be.visible');
-    cy.wait('@collectivexDataset-latest-attempt');
+    cy.wait('@collectivexDataset-dev-latest');
     cy.get('[data-testid="collectivex-display"]').should('be.visible');
   });
 
diff --git a/packages/app/src/app/collectivex-data/[...path]/route.test.ts b/packages/app/src/app/collectivex-data/[...path]/route.test.ts
index 60a1eff64..880cfa4a2 100644
--- a/packages/app/src/app/collectivex-data/[...path]/route.test.ts
+++ b/packages/app/src/app/collectivex-data/[...path]/route.test.ts
@@ -66,11 +66,11 @@ describe('CollectiveX GitHub publication route', () => {
     expect(github.load).toHaveBeenCalledWith('v1', digest);
   });
 
-  it('keeps latest-attempt unavailable until an explicit artifact exists', async () => {
+  it('does not expose the private latest-attempt channel', async () => {
     const response = await request('v1', 'channels', 'latest-attempt.json');
 
     expect(response.status).toBe(404);
-    expect(response.headers.get('x-collectivex-status')).toBe('channel-unavailable');
+    expect(response.headers.get('x-collectivex-status')).toBeNull();
     expect(github.load).not.toHaveBeenCalled();
   });
 
diff --git a/packages/app/src/app/collectivex-data/[...path]/route.ts b/packages/app/src/app/collectivex-data/[...path]/route.ts
index 550d756a5..c4f8ce3b8 100644
--- a/packages/app/src/app/collectivex-data/[...path]/route.ts
+++ b/packages/app/src/app/collectivex-data/[...path]/route.ts
@@ -8,9 +8,7 @@ export const dynamic = 'force-dynamic';
 export const runtime = 'nodejs';
 
 const VERSION_PATTERN = COLLECTIVEX_VERSIONS.join('|');
-const CHANNEL = new RegExp(
-  `^(?<version>${VERSION_PATTERN})/channels/(?<channel>dev-latest|latest-attempt)\\.json$`,
-);
+const CHANNEL = new RegExp(`^(?<version>${VERSION_PATTERN})/channels/dev-latest\\.json$`);
 const DATASET = new RegExp(
   `^(?<version>${VERSION_PATTERN})/datasets/(?<digest>[a-f0-9]{64})/dataset\\.json$`,
 );
@@ -40,9 +38,6 @@ export async function GET(_request: Request, context: { params: Promise<{ path:
   const channel = CHANNEL.exec(relative);
   const dataset = DATASET.exec(relative);
   if (!channel && !dataset) return unavailable(404);
-  if (channel?.groups?.channel === 'latest-attempt') {
-    return unavailable(404, 'channel-unavailable');
-  }
 
   try {
     const version = (channel?.groups?.version ?? dataset?.groups?.version) as CollectiveXVersion;
diff --git a/packages/app/src/components/collectivex/CollectiveXChart.tsx b/packages/app/src/components/collectivex/CollectiveXChart.tsx
index d8b9d7935..a28574c48 100644
--- a/packages/app/src/components/collectivex/CollectiveXChart.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXChart.tsx
@@ -34,6 +34,7 @@ interface CollectiveXChartProps {
 
 const OPERATION_LABELS: Record<CollectiveXOperation, string> = {
   dispatch: 'Dispatch',
+  stage: 'Stage',
   combine: 'Combine',
   roundtrip: 'Round trip (measured)',
   'isolated-sum': 'Isolated sum (Σp, not measured)',
@@ -47,7 +48,8 @@ const X_AXIS_LABELS: Record<CollectiveXXAxis, string> = {
 const Y_AXIS_LABELS: Record<CollectiveXYAxis, string> = {
   latency: 'Latency (µs)',
   'tokens-per-second': 'Token rate at selected latency percentile (tokens/s)',
-  'payload-rate': 'Logical payload rate at selected latency percentile (GB/s)',
+  'activation-rate': 'Activation-data rate at selected latency percentile (GB/s)',
+  'total-logical-rate': 'Total logical data rate at selected latency percentile (GB/s)',
 };
 
 function paddedDomain(values: number[], scaleType: CollectiveXScale): [number, number] {
@@ -247,16 +249,20 @@ export function CollectiveXChart({
             <div>${escapeHtml(OPERATION_LABELS[operation])} ${yAxis === 'latency' ? percentile : `at ${percentile} latency`}: <strong>${formatMetric(point.y, yAxis)}</strong> · ${escapeHtml(point.series.status)}</div>
             <div class="text-muted-foreground">${measurement.tokens_per_rank} tokens/rank · ${measurement.global_tokens} global tokens</div>
             <div class="mt-1 text-muted-foreground">Dispatch p50/p90/p95/p99: ${formatPercentiles(measurement.components.dispatch)}</div>
+            <div class="text-muted-foreground">Stage p50/p90/p95/p99: ${formatPercentiles(measurement.components.stage)}</div>
             <div class="text-muted-foreground">Combine p50/p90/p95/p99: ${formatPercentiles(measurement.components.combine)}</div>
             <div class="text-muted-foreground">Round trip p50/p90/p95/p99: ${formatPercentiles(measuredRoundtrip)}${measuredRoundtrip ? ' (measured)' : ''}</div>
             <div class="text-muted-foreground">Fan-out: ${measurement.routing.fanout_mean.toFixed(2)} · routed copies: ${measurement.routing.routed_copies} · recv max: ${measurement.routing.recv_tokens_max}</div>
             <div class="text-muted-foreground">Expert CV: ${measurement.routing.expert_load_cv.toFixed(3)} · rank CV: ${measurement.routing.payload_rank_cv.toFixed(3)} · hotspot: ${measurement.routing.hotspot_ratio.toFixed(2)}x · empty experts/ranks: ${measurement.routing.empty_expert_count}/${measurement.routing.empty_rank_count}</div>
-            <div class="text-muted-foreground">Correctness: ${measurement.correct ? 'pass' : 'fail'} · EPLB: ${eplbDetails}</div>
+            <div class="text-muted-foreground">Correctness: semantic ${measurement.correctness.semantic_pass ? 'pass' : 'fail'} · precision ${measurement.correctness.precision.passed ? 'pass' : 'fail'} · EPLB: ${eplbDetails}</div>
+            <div class="text-muted-foreground">Stability: Q${measurement.stability.qualification_indices.join('/')} · p50 ${measurement.stability.p50_max_min_ratio?.toFixed(3) ?? '-'}x · p99 ${measurement.stability.p99_max_min_ratio?.toFixed(3) ?? '-'}x</div>
+            ${measurement.anomalies.length > 0 ? `<div class="text-muted-foreground">Anomalies: ${measurement.anomalies.map(escapeHtml).join(' · ')}</div>` : ''}
             ${eplb.mapping_sha256 ? `<div class="text-muted-foreground" style="word-break: break-all;">EPLB mapping SHA-256: ${escapeHtml(eplb.mapping_sha256)}</div>` : ''}
             <div class="mt-1 text-muted-foreground">Mode: ${escapeHtml(point.series.mode)} · payload unit: ${escapeHtml(point.series.measurement.payload_unit)} · combine: ${escapeHtml(point.series.measurement.combine_semantics)}</div>
             <div class="text-muted-foreground">Topology: EP${point.series.system.ep_size} · ${escapeHtml(point.series.system.scope)} · ${escapeHtml(collectiveXTopologyLabel(point.series.system))}</div>
             <div class="text-muted-foreground">${escapeHtml(point.series.measurement.contract)} · ${escapeHtml(point.series.suite)}</div>
-            <div class="text-muted-foreground">${escapeHtml(point.series.workload.dispatch_dtype)} · ${escapeHtml(point.series.workload.routing)}${point.series.workload.eplb ? '+eplb' : ''}</div>
+            <div class="text-muted-foreground">${escapeHtml(point.series.workload.precision_profile)} · dispatch ${escapeHtml(point.series.workload.dispatch_precision.communication_format)} · combine ${escapeHtml(point.series.workload.combine_precision.communication_format)}</div>
+            <div class="text-muted-foreground">${escapeHtml(point.series.workload.routing)}${point.series.workload.eplb ? '+eplb' : ''}</div>
             <div class="mt-1 text-muted-foreground">workload=${escapeHtml(point.series.workload.workload_id.slice(0, 24))} · allocations=${point.series.allocation_ids.length}</div>
             <div class="text-muted-foreground" style="word-break: break-all;">point=${escapeHtml(measurement.point_id)}</div>
             <div class="text-muted-foreground">evidence=${measurement.evidence_ids.map((id) => escapeHtml(id.slice(-8))).join(' · ')}</div>
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index 810ac34ad..12d76a2bc 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -23,6 +23,7 @@ import { track } from '@/lib/analytics';
 import { useLocale } from '@/lib/use-locale';
 
 import { CollectiveXChart } from './CollectiveXChart';
+import { CollectiveXInventory } from './CollectiveXInventory';
 import { collectiveXAvailabilityReason } from './reader';
 import {
   CollectiveXAttemptTable,
@@ -55,7 +56,6 @@ import {
 } from './types';
 
 type EvidenceScope = 'controlled' | 'diagnostic';
-type PublicationChannel = 'dev-latest' | 'latest-attempt';
 type CollectiveXTab = 'results' | 'decisions' | 'evidence';
 interface SelectOption<T extends string> {
   value: T;
@@ -382,8 +382,18 @@ const COHORT_KIND_ORDER: Record<CollectiveXCohort['kind'], number> = {
   chip: 1,
   system: 2,
   routing: 3,
+  'dispatch-precision': 4,
+  'combine-precision': 5,
+  'precision-pair': 6,
 };
 
+function precisionCohortKindLabel(kind: CollectiveXCohort['kind']): string | null {
+  if (kind === 'dispatch-precision') return 'Dispatch precision';
+  if (kind === 'combine-precision') return 'Combine precision';
+  if (kind === 'precision-pair') return 'Precision pairs';
+  return null;
+}
+
 function formatDate(value: string, locale: 'en' | 'zh'): string {
   return new Intl.DateTimeFormat(locale === 'zh' ? 'zh-CN' : 'en', {
     dateStyle: 'medium',
@@ -434,8 +444,7 @@ export default function CollectiveXDisplay() {
   const locale = useLocale();
   const t = STRINGS[locale];
   const [version, setVersion] = useState<CollectiveXVersion>('v1');
-  const [publication, setPublication] = useState<PublicationChannel>('dev-latest');
-  const { data, error, isLoading, isFetching, refetch } = useCollectiveX(publication, version);
+  const { data, error, isLoading, isFetching, refetch } = useCollectiveX('dev-latest', version);
   const [tab, setTab] = useState<CollectiveXTab>('results');
   const [evidenceScope, setEvidenceScope] = useState<EvidenceScope>('controlled');
   const [mode, setMode] = useState<CollectiveXMode>('normal');
@@ -458,6 +467,7 @@ export default function CollectiveXDisplay() {
   const [highContrast, setHighContrast] = useState(false);
   const operationOptions: SelectOption<CollectiveXOperation>[] = [
     { value: 'dispatch', label: t.operation.dispatch },
+    { value: 'stage', label: 'Stage' },
     { value: 'combine', label: t.operation.combine },
     { value: 'roundtrip', label: t.operation.roundtrip },
     { value: 'isolated-sum', label: t.operation['isolated-sum'] },
@@ -481,18 +491,11 @@ export default function CollectiveXDisplay() {
     { value: 'controlled', label: t.evidenceScope.controlled },
     { value: 'diagnostic', label: t.evidenceScope.diagnostic },
   ];
-  const diagnosticEvidenceScopeOptions: SegmentedToggleOption<EvidenceScope>[] = [
-    evidenceScopeOptions[1],
-  ];
   const fabricScopeOptions: SegmentedToggleOption<CollectiveXFabricScope>[] = [
     { value: 'all', label: t.fabricScope.all },
     { value: 'scale-up', label: t.fabricScope['scale-up'] },
     { value: 'scale-out', label: t.fabricScope['scale-out'] },
   ];
-  const channelOptions: SegmentedToggleOption<PublicationChannel>[] = [
-    { value: 'dev-latest', label: t.channel['dev-latest'] },
-    { value: 'latest-attempt', label: t.channel['latest-attempt'] },
-  ];
   const versionOptions: SelectOption<CollectiveXVersion>[] = COLLECTIVEX_VERSIONS.map((value) => ({
     value,
     label: value.toUpperCase(),
@@ -590,7 +593,12 @@ export default function CollectiveXDisplay() {
           }));
         return options.length === 0
           ? []
-          : [{ label: `${t.cohortKind[kind]} (${options.length})`, options }];
+          : [
+              {
+                label: `${precisionCohortKindLabel(kind) ?? t.cohortKind[kind as keyof typeof t.cohortKind]} (${options.length})`,
+                options,
+              },
+            ];
       },
     );
     return evidenceScope === 'controlled'
@@ -627,12 +635,9 @@ export default function CollectiveXDisplay() {
     if (!dataset) return [];
     const diagnosticMembers = new Set(allDiagnosticCohorts.flatMap((cohort) => cohort.series_ids));
     return dataset.series.filter(
-      (item) =>
-        publication === 'latest-attempt' ||
-        item.status === 'diagnostic' ||
-        diagnosticMembers.has(item.series_id),
+      (item) => item.status === 'diagnostic' || diagnosticMembers.has(item.series_id),
     );
-  }, [allDiagnosticCohorts, dataset, publication]);
+  }, [allDiagnosticCohorts, dataset]);
   const filteredDiagnosticSeries = useMemo(
     () => diagnosticSeries.filter((item) => seriesMatchesSelection(item, seriesSelection)),
     [diagnosticSeries, seriesSelection],
@@ -792,19 +797,6 @@ export default function CollectiveXDisplay() {
     track('collectivex_data_refreshed');
     void refetch();
   }, [refetch]);
-  const handlePublication = useCallback((value: PublicationChannel) => {
-    setPublication(value);
-    setEvidenceScope(value === 'dev-latest' ? 'controlled' : 'diagnostic');
-    setDiagnosticCohortId('all');
-    setMode('normal');
-    setEpSize(8);
-    setFabricScope('all');
-    setPhase('decode');
-    setSku('all');
-    setBackend('all');
-    setRouting('all');
-    track('collectivex_publication_changed', { publication: value });
-  }, []);
   const handleTab = useCallback((value: string) => {
     const next = value as CollectiveXTab;
     setTab(next);
@@ -825,15 +817,11 @@ export default function CollectiveXDisplay() {
     const message =
       availabilityReason === 'source-unavailable'
         ? t.artifactSourceUnavailable
-        : availabilityReason === 'store-unavailable'
-          ? t.storeUnavailable
-          : availabilityReason === 'channel-unavailable'
-            ? publication === 'dev-latest'
-              ? t.promotedUnavailable
-              : t.attemptUnavailable
-            : error instanceof Error
-              ? error.message
-              : t.failedValidation;
+        : availabilityReason === 'channel-unavailable'
+          ? t.promotedUnavailable
+          : error instanceof Error
+            ? error.message
+            : t.failedValidation;
     return (
       <Card
         data-testid="collectivex-error"
@@ -859,15 +847,6 @@ export default function CollectiveXDisplay() {
               onChange={setVersion}
             />
           </div>
-          {!['store-unavailable', 'source-unavailable'].includes(availabilityReason ?? '') && (
-            <SegmentedToggle
-              value={publication}
-              options={channelOptions}
-              onValueChange={handlePublication}
-              ariaLabel={t.publicationAria}
-              testId="collectivex-error-channel-toggle"
-            />
-          )}
           <Button variant="outline" onClick={handleRefresh}>
             <RefreshCw className="size-4" />
             {t.retry}
@@ -960,17 +939,10 @@ export default function CollectiveXDisplay() {
         </div>
       </Card>
 
+      <CollectiveXInventory dataset={dataset} />
+
       <Card className="py-4 md:py-5">
         <div className="grid gap-x-5 gap-y-3 sm:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6">
-          <ControlGroup label={t.publication}>
-            <SegmentedToggle
-              value={publication}
-              options={channelOptions}
-              onValueChange={handlePublication}
-              ariaLabel={t.publicationAria}
-              testId="collectivex-channel-toggle"
-            />
-          </ControlGroup>
           <SelectControl
             label={t.version}
             testId="collectivex-version-select"
@@ -984,9 +956,7 @@ export default function CollectiveXDisplay() {
           <ControlGroup label={t.evidence}>
             <SegmentedToggle
               value={evidenceScope}
-              options={
-                publication === 'dev-latest' ? evidenceScopeOptions : diagnosticEvidenceScopeOptions
-              }
+              options={evidenceScopeOptions}
               onValueChange={(value) => {
                 setEvidenceScope(value);
                 track('collectivex_evidence_scope_changed', { scope: value });
@@ -1073,7 +1043,11 @@ export default function CollectiveXDisplay() {
             onChange={(next) => {
               setOperation(next);
               if (next !== 'roundtrip' && yAxis === 'tokens-per-second') setYAxis('latency');
-              if (next === 'isolated-sum' && yAxis === 'payload-rate') setYAxis('latency');
+              if (
+                next === 'isolated-sum' &&
+                (yAxis === 'activation-rate' || yAxis === 'total-logical-rate')
+              )
+                setYAxis('latency');
             }}
           />
           <ControlGroup label={t.phaseControl}>
@@ -1154,8 +1128,12 @@ export default function CollectiveXDisplay() {
                 ? []
                 : ([
                     {
-                      value: 'payload-rate',
-                      label: t.payloadRateOption,
+                      value: 'activation-rate',
+                      label: 'Activation-data rate at latency percentile',
+                    },
+                    {
+                      value: 'total-logical-rate',
+                      label: 'Total logical data rate at latency percentile',
                     },
                   ] as const)),
             ]}
@@ -1203,7 +1181,8 @@ export default function CollectiveXDisplay() {
               caption={
                 <>
                   <h2 className="text-lg font-semibold">
-                    {t.operationHeading[operation]} · {t.phaseValue[phase]} ·{' '}
+                    {operation === 'stage' ? 'Stage' : t.operationHeading[operation]} ·{' '}
+                    {t.phaseValue[phase]} ·{' '}
                     {yAxis === 'latency'
                       ? percentile
                       : locale === 'zh'
@@ -1217,7 +1196,12 @@ export default function CollectiveXDisplay() {
                       : selectedDiagnosticCohort
                         ? collectiveXCohortLabel(selectedDiagnosticCohort, seriesById, locale)
                         : t.diagnosticEvidence}{' '}
-                    · {t.yAxis[yAxis]}
+                    ·{' '}
+                    {yAxis === 'activation-rate'
+                      ? 'Activation-data rate at selected latency percentile'
+                      : yAxis === 'total-logical-rate'
+                        ? 'Total logical data rate at selected latency percentile'
+                        : t.yAxis[yAxis]}
                   </p>
                   {chartSemantics && (
                     <p
@@ -1326,20 +1310,13 @@ export default function CollectiveXDisplay() {
             {operation === 'isolated-sum' && (
               <p className="mt-2 text-xs text-muted-foreground">{t.isolatedNote}</p>
             )}
-            {yAxis === 'payload-rate' && (
+            {(yAxis === 'activation-rate' || yAxis === 'total-logical-rate') && (
               <p className="mt-2 text-xs text-muted-foreground">{t.payloadNote}</p>
             )}
           </Card>
         </TabsContent>
         <TabsContent value="decisions" className="space-y-4">
-          {publication === 'dev-latest' ? (
-            <CollectiveXDecisionTables dataset={dataset} cohort={selectedControlledCohort} />
-          ) : (
-            <Card data-testid="collectivex-unpromoted-decisions">
-              <h2 className="text-lg font-semibold">{t.unpromotedEvidence}</h2>
-              <p className="mt-2 text-sm text-muted-foreground">{t.unpromotedNote}</p>
-            </Card>
-          )}
+          <CollectiveXDecisionTables dataset={dataset} cohort={selectedControlledCohort} />
         </TabsContent>
         <TabsContent value="evidence" className="space-y-4">
           <CollectiveXCoverageTable coverage={dataset.coverage} />
diff --git a/packages/app/src/components/collectivex/CollectiveXInventory.tsx b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
new file mode 100644
index 000000000..c6bc0dfca
--- /dev/null
+++ b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
@@ -0,0 +1,725 @@
+'use client';
+
+import { useEffect, useMemo, useState } from 'react';
+import { ChevronRight, RotateCcw } from 'lucide-react';
+
+import { Badge } from '@/components/ui/badge';
+import { Button } from '@/components/ui/button';
+import { Card } from '@/components/ui/card';
+import { type DataTableColumn, DataTable } from '@/components/ui/data-table';
+import { Label } from '@/components/ui/label';
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from '@/components/ui/select';
+
+import { collectiveXTopologyLabel } from './data';
+import type {
+  CollectiveXCommunicationAxis,
+  CollectiveXComponent,
+  CollectiveXCoverage,
+  CollectiveXCoveragePoint,
+  CollectiveXDataset,
+  CollectiveXPoint,
+  CollectiveXSeries,
+  CollectiveXTerminalStatus,
+} from './types';
+
+type FilterKey =
+  | 'sku'
+  | 'backend'
+  | 'ep'
+  | 'mode'
+  | 'phase'
+  | 'routing'
+  | 'topology'
+  | 'dispatchPrecision'
+  | 'combinePrecision'
+  | 'tier'
+  | 'terminal';
+
+type Filters = Record<FilterKey, string>;
+
+const EMPTY_FILTERS: Filters = {
+  sku: 'all',
+  backend: 'all',
+  ep: 'all',
+  mode: 'all',
+  phase: 'all',
+  routing: 'all',
+  topology: 'all',
+  dispatchPrecision: 'all',
+  combinePrecision: 'all',
+  tier: 'all',
+  terminal: 'all',
+};
+
+const TERMINAL_ORDER: CollectiveXTerminalStatus[] = [
+  'measured',
+  'unsupported',
+  'failed',
+  'invalid',
+  'diagnostic',
+];
+
+const STATUS_CLASS: Record<CollectiveXTerminalStatus, string> = {
+  measured: 'border-emerald-600/40 bg-emerald-500/10 text-emerald-700 dark:text-emerald-300',
+  unsupported: 'border-zinc-500/40 bg-zinc-500/10 text-zinc-700 dark:text-zinc-300',
+  failed: 'border-red-600/40 bg-red-500/10 text-red-700 dark:text-red-300',
+  invalid: 'border-red-600/40 bg-red-500/10 text-red-700 dark:text-red-300',
+  diagnostic: 'border-amber-600/40 bg-amber-500/10 text-amber-700 dark:text-amber-300',
+};
+
+function axisKey(axis: CollectiveXCommunicationAxis): string {
+  return JSON.stringify(axis);
+}
+
+function axisLabel(axis: CollectiveXCommunicationAxis): string {
+  const scale = axis.scale_dtype
+    ? `${axis.scale_dtype}/${axis.scale_group_size ?? 'dynamic'}`
+    : 'no scale';
+  return `${axis.communication_format} · ${axis.quantization_origin} · ${axis.conversion_boundary} · ${scale}`;
+}
+
+function backendKey(item: CollectiveXCoverage): string {
+  return `${item.backend}\0${item.backend_generation ?? ''}`;
+}
+
+function backendLabel(item: CollectiveXCoverage): string {
+  return item.backend_generation ? `${item.backend} · ${item.backend_generation}` : item.backend;
+}
+
+function routingKey(item: CollectiveXCoverage): string {
+  return `${item.routing}${item.eplb ? '+eplb' : ''}`;
+}
+
+function topologyKey(item: CollectiveXCoverage): string {
+  return `${item.topology.scope}\0${item.topology.topology_class}\0${item.topology.transport}`;
+}
+
+function terminalCounts(item: CollectiveXCoverage): Record<CollectiveXTerminalStatus, number> {
+  return Object.fromEntries(
+    TERMINAL_ORDER.map((status) => [
+      status,
+      item.points.filter((point) => point.terminal_status === status).length,
+    ]),
+  ) as Record<CollectiveXTerminalStatus, number>;
+}
+
+function terminalSummary(item: CollectiveXCoverage): string {
+  const counts = terminalCounts(item);
+  return TERMINAL_ORDER.filter((status) => counts[status] > 0)
+    .map((status) => `${status} ${counts[status]}`)
+    .join(' · ');
+}
+
+function uniqueOptions(
+  coverage: CollectiveXCoverage[],
+  value: (item: CollectiveXCoverage) => string,
+  label: (item: CollectiveXCoverage) => string = value,
+): { value: string; label: string }[] {
+  return [
+    ...new Map(
+      coverage.map((item) => {
+        const key = value(item);
+        return [key, { value: key, label: label(item) }];
+      }),
+    ).values(),
+  ].toSorted((left, right) => left.label.localeCompare(right.label));
+}
+
+function FilterSelect({
+  label,
+  testId,
+  value,
+  options,
+  onChange,
+}: {
+  label: string;
+  testId: string;
+  value: string;
+  options: { value: string; label: string }[];
+  onChange: (value: string) => void;
+}) {
+  return (
+    <div className="min-w-0 space-y-1.5">
+      <Label className="text-[11px] uppercase text-muted-foreground">{label}</Label>
+      <Select value={value} onValueChange={onChange}>
+        <SelectTrigger data-testid={testId} className="min-w-0 w-full">
+          <SelectValue />
+        </SelectTrigger>
+        <SelectContent>
+          <SelectItem value="all">All</SelectItem>
+          {options.map((option) => (
+            <SelectItem key={option.value} value={option.value}>
+              {option.label}
+            </SelectItem>
+          ))}
+        </SelectContent>
+      </Select>
+    </div>
+  );
+}
+
+function TerminalBadges({ item }: { item: CollectiveXCoverage }) {
+  const counts = terminalCounts(item);
+  return (
+    <div className="flex flex-wrap gap-1">
+      {TERMINAL_ORDER.filter((status) => counts[status] > 0).map((status) => (
+        <Badge key={status} variant="outline" className={STATUS_CLASS[status]}>
+          {status} {counts[status]}
+        </Badge>
+      ))}
+    </div>
+  );
+}
+
+interface PointRow {
+  catalog: CollectiveXCoveragePoint;
+  series: CollectiveXSeries | null;
+  point: CollectiveXPoint | null;
+  qualificationIndices: number[];
+}
+
+function componentSummary(component: CollectiveXComponent | null): React.ReactNode {
+  if (component === null) return <span className="text-muted-foreground">Unavailable</span>;
+  const bytes = component.byte_provenance;
+  const activation = component.activation_data_rate_gbps_at_latency_percentile?.p99;
+  const total = component.total_logical_data_rate_gbps_at_latency_percentile?.p99;
+  return (
+    <div className="min-w-44 space-y-0.5 text-xs tabular-nums">
+      <p>
+        p50 {component.latency_us.p50.toFixed(1)} · p99 {component.latency_us.p99.toFixed(1)} us
+      </p>
+      <p className="text-muted-foreground">
+        {component.origin === 'measured'
+          ? `${component.sample_count}/512 samples`
+          : 'Derived, no samples'}
+      </p>
+      <p className="text-muted-foreground">
+        bytes {bytes.activation_data_bytes.toLocaleString()} + {bytes.scale_bytes.toLocaleString()}{' '}
+        = {bytes.total_logical_bytes.toLocaleString()}
+      </p>
+      <p className="text-muted-foreground">
+        p99 A {activation?.toFixed(2) ?? '-'} · total {total?.toFixed(2) ?? '-'} GB/s
+      </p>
+    </div>
+  );
+}
+
+function pointStability(row: PointRow): string {
+  if (!row.point) return '-';
+  const stability = row.point.stability;
+  return `${stability.complete ? 'complete' : 'incomplete'} · Q${stability.qualification_indices.join('/')} · p50 ${stability.p50_max_min_ratio?.toFixed(3) ?? '-'}x ${stability.stable_p50 ? 'stable' : 'unstable'} · p99 ${stability.p99_max_min_ratio?.toFixed(3) ?? '-'}x ${stability.stable_p99 ? 'stable' : 'unstable'}`;
+}
+
+function pointAnomalies(row: PointRow): string {
+  if (!row.point) return '-';
+  const routing = row.point.routing;
+  const anomalies = row.point.anomalies.join(', ');
+  return `expert CV ${routing.expert_load_cv.toFixed(3)} · rank CV ${routing.payload_rank_cv.toFixed(3)} · hotspot ${routing.hotspot_ratio.toFixed(2)}x · empty ${routing.empty_expert_count}/${routing.empty_rank_count}${anomalies ? ` · ${anomalies}` : ' · none declared'}`;
+}
+
+function trialDiagnosticsSummary(row: PointRow): React.ReactNode {
+  if (!row.point) return '-';
+  const diagnostics = row.point.trial_diagnostics;
+  const components = Object.entries(diagnostics.components).filter(
+    (entry): entry is [string, NonNullable<(typeof entry)[1]>] => entry[1] !== null,
+  );
+  return (
+    <div className="min-w-56 space-y-0.5 text-xs tabular-nums">
+      <p className={diagnostics.flagged ? 'text-amber-700 dark:text-amber-300' : ''}>
+        {diagnostics.flagged ? diagnostics.reasons.join(', ') : 'No trial flags'}
+      </p>
+      {components.map(([name, component]) => (
+        <p key={name} className="text-muted-foreground">
+          {name} {component.trial_count} trials · drift{' '}
+          {component.first_last_median_ratio.toFixed(3)}x · outliers{' '}
+          {(component.robust_outlier_fraction * 100).toFixed(1)}%
+        </p>
+      ))}
+    </div>
+  );
+}
+
+function correctnessSummary(row: PointRow): React.ReactNode {
+  if (!row.point) return '-';
+  const correctness = row.point.correctness;
+  const dispatch = correctness.precision.dispatch;
+  const combine = correctness.precision.combine;
+  return (
+    <div className="min-w-52 text-xs">
+      <p>
+        Semantic {correctness.semantic_pass ? 'pass' : 'fail'} · precision{' '}
+        {correctness.precision.passed ? 'pass' : 'fail'}
+      </p>
+      <p className="text-muted-foreground">
+        Dispatch abs {dispatch.max_abs_error.toPrecision(3)} · rel{' '}
+        {dispatch.max_rel_error.toPrecision(3)} · saturation{' '}
+        {dispatch.saturation_rate.toPrecision(3)}
+      </p>
+      <p className="text-muted-foreground">
+        Combine abs {combine.max_abs_error.toPrecision(3)} · rel{' '}
+        {combine.max_rel_error.toPrecision(3)} · saturation {combine.saturation_rate.toPrecision(3)}
+      </p>
+    </div>
+  );
+}
+
+function DetailValue({
+  label,
+  value,
+  mono = false,
+}: {
+  label: string;
+  value: string;
+  mono?: boolean;
+}) {
+  return (
+    <div className="min-w-0">
+      <dt className="text-[11px] uppercase text-muted-foreground">{label}</dt>
+      <dd className={`mt-1 break-words ${mono ? 'font-mono text-xs' : ''}`}>{value}</dd>
+    </div>
+  );
+}
+
+function CaseDetail({ dataset, item }: { dataset: CollectiveXDataset; item: CollectiveXCoverage }) {
+  const seriesById = useMemo(
+    () => new Map(dataset.series.map((series) => [series.series_id, series])),
+    [dataset.series],
+  );
+  const rows = useMemo<PointRow[]>(
+    () =>
+      item.points.map((catalog) => {
+        const series = catalog.series_id ? (seriesById.get(catalog.series_id) ?? null) : null;
+        const point =
+          catalog.point_id && series
+            ? (series.points.find((candidate) => candidate.point_id === catalog.point_id) ?? null)
+            : null;
+        const qualificationIndices = [
+          ...new Set(
+            dataset.attempts
+              .filter(
+                (attempt) =>
+                  attempt.case_id === item.case_id &&
+                  attempt.selected &&
+                  (!catalog.point_id ||
+                    attempt.evidence.some((evidence) => evidence.point_id === catalog.point_id)),
+              )
+              .map((attempt) => attempt.qualification_index),
+          ),
+        ].toSorted((left, right) => left - right);
+        return { catalog, series, point, qualificationIndices };
+      }),
+    [dataset.attempts, item, seriesById],
+  );
+  const columns = useMemo<DataTableColumn<PointRow>[]>(
+    () => [
+      {
+        header: 'Terminal status',
+        cell: (row) => (
+          <div className="min-w-28">
+            <Badge variant="outline" className={STATUS_CLASS[row.catalog.terminal_status]}>
+              {row.catalog.terminal_status}
+            </Badge>
+            {row.catalog.reason && (
+              <p className="mt-1 text-xs text-muted-foreground">{row.catalog.reason}</p>
+            )}
+          </div>
+        ),
+        sortValue: (row) => `${row.catalog.terminal_status} ${row.catalog.reason ?? ''}`,
+      },
+      {
+        header: 'Tokens / rank',
+        align: 'right',
+        cell: (row) => row.catalog.tokens_per_rank.toLocaleString(),
+        sortValue: (row) => row.catalog.tokens_per_rank,
+      },
+      {
+        header: 'Global tokens',
+        align: 'right',
+        cell: (row) => row.catalog.global_tokens.toLocaleString(),
+        sortValue: (row) => row.catalog.global_tokens,
+      },
+      {
+        header: 'Correctness',
+        cell: correctnessSummary,
+        sortValue: (row) =>
+          row.point
+            ? `${row.point.correctness.semantic_pass} ${row.point.correctness.precision.passed}`
+            : '',
+      },
+      {
+        header: '3-run evidence',
+        cell: (row) => (
+          <div className="min-w-32 text-xs">
+            <p>{row.qualificationIndices.length}/3 qualification runs</p>
+            <p className="text-muted-foreground">
+              {row.qualificationIndices.map((index) => `Q${index}`).join(' · ') || '-'} ·{' '}
+              {row.point?.evidence_ids.length ?? 0} evidence IDs
+            </p>
+          </div>
+        ),
+        sortValue: (row) => row.qualificationIndices.length,
+      },
+      {
+        header: 'Stability',
+        cell: (row) => <span className="block min-w-52 text-xs">{pointStability(row)}</span>,
+        sortValue: pointStability,
+      },
+      {
+        header: 'Anomalies',
+        cell: (row) => <span className="block min-w-64 text-xs">{pointAnomalies(row)}</span>,
+        sortValue: pointAnomalies,
+      },
+      {
+        header: 'Trial diagnostics',
+        cell: trialDiagnosticsSummary,
+        sortValue: (row) =>
+          row.point
+            ? `${row.point.trial_diagnostics.flagged} ${row.point.trial_diagnostics.reasons.join(' ')}`
+            : '',
+      },
+      {
+        header: 'Dispatch',
+        cell: (row) => componentSummary(row.point?.components.dispatch ?? null),
+      },
+      {
+        header: 'Stage',
+        cell: (row) => componentSummary(row.point?.components.stage ?? null),
+      },
+      {
+        header: 'Combine',
+        cell: (row) => componentSummary(row.point?.components.combine ?? null),
+      },
+      {
+        header: 'Round trip',
+        cell: (row) => componentSummary(row.point?.components.roundtrip ?? null),
+      },
+      {
+        header: 'Isolated sum',
+        cell: (row) => componentSummary(row.point?.components.isolated_sum ?? null),
+      },
+    ],
+    [],
+  );
+
+  return (
+    <Card
+      data-testid="collectivex-case-detail"
+      className="min-w-0 w-full max-w-full overflow-hidden"
+    >
+      <div className="flex flex-wrap items-start justify-between gap-3">
+        <div>
+          <p className="text-xs font-medium text-muted-foreground">Selected matrix case</p>
+          <h2 className="mt-1 text-lg font-semibold">{item.label}</h2>
+          <p className="mt-1 font-mono text-xs text-muted-foreground">{item.case_id}</p>
+        </div>
+        <TerminalBadges item={item} />
+      </div>
+      <dl className="mt-4 grid gap-4 border-y py-4 text-sm sm:grid-cols-2 lg:grid-cols-4">
+        <DetailValue
+          label="Resource"
+          value={`${item.resource.profile ?? 'unconfigured'} · ${item.resource.configured_units ?? '-'} ${item.resource.comm_units_kind ?? 'units'}`}
+        />
+        <DetailValue
+          label="Topology"
+          value={`EP${item.topology.ep_size} · ${collectiveXTopologyLabel(item.topology)}`}
+        />
+        <DetailValue label="Dispatch precision" value={axisLabel(item.dispatch_precision)} />
+        <DetailValue label="Combine precision" value={axisLabel(item.combine_precision)} />
+        <DetailValue label="Precision profile" value={item.precision_profile} mono />
+        <DetailValue label="Routing" value={routingKey(item)} />
+        <DetailValue label="Backend" value={backendLabel(item)} />
+        <DetailValue label="Publication tier" value={item.publication_tier} />
+      </dl>
+      <h3 className="mt-5 font-semibold">Point terminal evidence</h3>
+      <DataTable
+        data={rows}
+        columns={columns}
+        testId="collectivex-case-points-table"
+        analyticsPrefix="collectivex_case_points"
+        watermark={false}
+      />
+    </Card>
+  );
+}
+
+export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset }) {
+  const [filters, setFilters] = useState<Filters>(EMPTY_FILTERS);
+  const [selectedCaseId, setSelectedCaseId] = useState(dataset.coverage[0]?.case_id ?? '');
+  const setFilter = (key: FilterKey, value: string) =>
+    setFilters((previous) => ({ ...previous, [key]: value }));
+  const options = useMemo(
+    () => ({
+      sku: uniqueOptions(
+        dataset.coverage,
+        (item) => item.sku,
+        (item) => item.sku.toUpperCase(),
+      ),
+      backend: uniqueOptions(dataset.coverage, backendKey, backendLabel),
+      ep: uniqueOptions(
+        dataset.coverage,
+        (item) => String(item.topology.ep_size),
+        (item) => `EP${item.topology.ep_size}`,
+      ),
+      mode: uniqueOptions(dataset.coverage, (item) => item.mode),
+      phase: uniqueOptions(dataset.coverage, (item) => item.phase),
+      routing: uniqueOptions(dataset.coverage, routingKey),
+      topology: uniqueOptions(
+        dataset.coverage,
+        topologyKey,
+        (item) => `${item.topology.scope} · ${item.topology.topology_class}`,
+      ),
+      dispatchPrecision: uniqueOptions(
+        dataset.coverage,
+        (item) => axisKey(item.dispatch_precision),
+        (item) => axisLabel(item.dispatch_precision),
+      ),
+      combinePrecision: uniqueOptions(
+        dataset.coverage,
+        (item) => axisKey(item.combine_precision),
+        (item) => axisLabel(item.combine_precision),
+      ),
+      tier: uniqueOptions(dataset.coverage, (item) => item.publication_tier),
+      terminal: TERMINAL_ORDER.map((status) => ({ value: status, label: status })),
+    }),
+    [dataset.coverage],
+  );
+  const filtered = useMemo(
+    () =>
+      dataset.coverage.filter(
+        (item) =>
+          (filters.sku === 'all' || item.sku === filters.sku) &&
+          (filters.backend === 'all' || backendKey(item) === filters.backend) &&
+          (filters.ep === 'all' || String(item.topology.ep_size) === filters.ep) &&
+          (filters.mode === 'all' || item.mode === filters.mode) &&
+          (filters.phase === 'all' || item.phase === filters.phase) &&
+          (filters.routing === 'all' || routingKey(item) === filters.routing) &&
+          (filters.topology === 'all' || topologyKey(item) === filters.topology) &&
+          (filters.dispatchPrecision === 'all' ||
+            axisKey(item.dispatch_precision) === filters.dispatchPrecision) &&
+          (filters.combinePrecision === 'all' ||
+            axisKey(item.combine_precision) === filters.combinePrecision) &&
+          (filters.tier === 'all' || item.publication_tier === filters.tier) &&
+          (filters.terminal === 'all' ||
+            item.points.some((point) => point.terminal_status === filters.terminal)),
+      ),
+    [dataset.coverage, filters],
+  );
+  useEffect(() => {
+    if (!filtered.some((item) => item.case_id === selectedCaseId)) {
+      setSelectedCaseId(filtered[0]?.case_id ?? '');
+    }
+  }, [filtered, selectedCaseId]);
+  const selected = filtered.find((item) => item.case_id === selectedCaseId) ?? null;
+  const columns = useMemo<DataTableColumn<CollectiveXCoverage>[]>(
+    () => [
+      {
+        header: 'Case',
+        cell: (row) => (
+          <button
+            type="button"
+            onClick={() => setSelectedCaseId(row.case_id)}
+            className="flex min-w-56 items-center gap-2 text-left font-medium hover:underline"
+            aria-label={`Inspect ${row.label}`}
+          >
+            <ChevronRight className="size-4 shrink-0" />
+            <span>
+              {row.label}
+              <span className="mt-0.5 block font-mono text-[11px] font-normal text-muted-foreground">
+                {row.case_id.slice(-12)}
+              </span>
+            </span>
+          </button>
+        ),
+        sortValue: (row) => `${row.label} ${row.case_id}`,
+      },
+      { header: 'SKU', cell: (row) => row.sku.toUpperCase(), sortValue: (row) => row.sku },
+      {
+        header: 'Backend / generation',
+        cell: backendLabel,
+        sortValue: backendLabel,
+        className: 'whitespace-nowrap',
+      },
+      {
+        header: 'EP',
+        cell: (row) => `EP${row.topology.ep_size}`,
+        sortValue: (row) => row.topology.ep_size,
+      },
+      {
+        header: 'Mode / phase',
+        cell: (row) => `${row.mode} · ${row.phase}`,
+        sortValue: (row) => `${row.mode} ${row.phase}`,
+        className: 'whitespace-nowrap',
+      },
+      {
+        header: 'Routing / EPLB',
+        cell: routingKey,
+        sortValue: routingKey,
+        className: 'whitespace-nowrap',
+      },
+      {
+        header: 'Topology',
+        cell: (row) => `${row.topology.scope} · ${row.topology.topology_class}`,
+        sortValue: topologyKey,
+        className: 'whitespace-nowrap',
+      },
+      {
+        header: 'Dispatch precision',
+        cell: (row) => axisLabel(row.dispatch_precision),
+        sortValue: (row) => axisLabel(row.dispatch_precision),
+        className: 'min-w-52',
+      },
+      {
+        header: 'Combine precision',
+        cell: (row) => axisLabel(row.combine_precision),
+        sortValue: (row) => axisLabel(row.combine_precision),
+        className: 'min-w-52',
+      },
+      {
+        header: 'Tier',
+        cell: (row) => row.publication_tier,
+        sortValue: (row) => row.publication_tier,
+        className: 'whitespace-nowrap',
+      },
+      {
+        header: 'Disposition',
+        cell: (row) => `${row.disposition} · ${row.outcome}`,
+        sortValue: (row) => `${row.disposition} ${row.outcome}`,
+        className: 'whitespace-nowrap',
+      },
+      {
+        header: 'Point terminal status',
+        cell: (row) => <TerminalBadges item={row} />,
+        sortValue: terminalSummary,
+        className: 'min-w-44',
+      },
+    ],
+    [],
+  );
+  const pointCounts = dataset.coverage.flatMap((item) => item.points);
+
+  return (
+    <>
+      <Card
+        data-testid="collectivex-inventory"
+        className="min-w-0 w-full max-w-full overflow-hidden"
+      >
+        <div className="flex flex-wrap items-start justify-between gap-3">
+          <div>
+            <h2 className="text-lg font-semibold">Matrix case inventory</h2>
+            <p className="mt-1 text-sm text-muted-foreground">
+              {filtered.length} of {dataset.coverage.length} cases ·{' '}
+              {dataset.promotion.measured_cases} measured cases ·{' '}
+              {dataset.promotion.unsupported_cases} unsupported cases ·{' '}
+              {dataset.promotion.terminal_points}/{dataset.promotion.requested_points} terminal
+              points · {pointCounts.filter((point) => point.terminal_status === 'measured').length}{' '}
+              measured points ·{' '}
+              {pointCounts.filter((point) => point.terminal_status === 'unsupported').length}{' '}
+              unsupported points
+            </p>
+          </div>
+          <Button
+            variant="outline"
+            size="sm"
+            onClick={() => setFilters(EMPTY_FILTERS)}
+            disabled={Object.values(filters).every((value) => value === 'all')}
+          >
+            <RotateCcw className="size-4" />
+            Reset filters
+          </Button>
+        </div>
+        <div className="mt-4 grid gap-3 sm:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6">
+          <FilterSelect
+            label="SKU"
+            testId="collectivex-inventory-sku"
+            value={filters.sku}
+            options={options.sku}
+            onChange={(value) => setFilter('sku', value)}
+          />
+          <FilterSelect
+            label="Backend / generation"
+            testId="collectivex-inventory-backend"
+            value={filters.backend}
+            options={options.backend}
+            onChange={(value) => setFilter('backend', value)}
+          />
+          <FilterSelect
+            label="EP"
+            testId="collectivex-inventory-ep"
+            value={filters.ep}
+            options={options.ep}
+            onChange={(value) => setFilter('ep', value)}
+          />
+          <FilterSelect
+            label="Mode"
+            testId="collectivex-inventory-mode"
+            value={filters.mode}
+            options={options.mode}
+            onChange={(value) => setFilter('mode', value)}
+          />
+          <FilterSelect
+            label="Phase"
+            testId="collectivex-inventory-phase"
+            value={filters.phase}
+            options={options.phase}
+            onChange={(value) => setFilter('phase', value)}
+          />
+          <FilterSelect
+            label="Routing / EPLB"
+            testId="collectivex-inventory-routing"
+            value={filters.routing}
+            options={options.routing}
+            onChange={(value) => setFilter('routing', value)}
+          />
+          <FilterSelect
+            label="Topology"
+            testId="collectivex-inventory-topology"
+            value={filters.topology}
+            options={options.topology}
+            onChange={(value) => setFilter('topology', value)}
+          />
+          <FilterSelect
+            label="Dispatch precision"
+            testId="collectivex-inventory-dispatch-precision"
+            value={filters.dispatchPrecision}
+            options={options.dispatchPrecision}
+            onChange={(value) => setFilter('dispatchPrecision', value)}
+          />
+          <FilterSelect
+            label="Combine precision"
+            testId="collectivex-inventory-combine-precision"
+            value={filters.combinePrecision}
+            options={options.combinePrecision}
+            onChange={(value) => setFilter('combinePrecision', value)}
+          />
+          <FilterSelect
+            label="Publication tier"
+            testId="collectivex-inventory-tier"
+            value={filters.tier}
+            options={options.tier}
+            onChange={(value) => setFilter('tier', value)}
+          />
+          <FilterSelect
+            label="Terminal disposition"
+            testId="collectivex-inventory-terminal"
+            value={filters.terminal}
+            options={options.terminal}
+            onChange={(value) => setFilter('terminal', value)}
+          />
+        </div>
+        <DataTable
+          data={filtered}
+          columns={columns}
+          testId="collectivex-inventory-table"
+          analyticsPrefix="collectivex_inventory"
+        />
+      </Card>
+      {selected && <CaseDetail dataset={dataset} item={selected} />}
+    </>
+  );
+}
diff --git a/packages/app/src/components/collectivex/CollectiveXTables.tsx b/packages/app/src/components/collectivex/CollectiveXTables.tsx
index 35d2bb239..e83f87112 100644
--- a/packages/app/src/components/collectivex/CollectiveXTables.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXTables.tsx
@@ -332,6 +332,12 @@ export function collectiveXReasonLabel(value: string, locale: 'en' | 'zh'): stri
 
 function cohortDescription(cohort: CollectiveXCohort, locale: 'en' | 'zh'): string {
   if (locale === 'en') return cohort.description;
+  if (
+    cohort.kind === 'dispatch-precision' ||
+    cohort.kind === 'combine-precision' ||
+    cohort.kind === 'precision-pair'
+  )
+    return cohort.description;
   return {
     library: '在相同实际系统、工作负载与测量协议下对比通信库及其调优资源配置。',
     chip: '在相同后端谱系、工作负载与测量协议下对比完整平台系统。',
@@ -427,14 +433,24 @@ function seriesContextColumns<T>(
 }
 
 function decisionMetricName(metric: CollectiveXMetric, locale: 'en' | 'zh'): string {
+  if (locale === 'zh' && metric.measure !== 'latency_us') {
+    const rate =
+      metric.measure === 'activation_data_rate_gbps_at_latency_percentile'
+        ? 'activation-data rate'
+        : 'total logical data rate';
+    return `${rate} at ${metric.statistic} latency`;
+  }
   if (locale === 'zh') {
     return metric.measure === 'latency_us'
       ? `${metric.statistic} 延迟`
       : `${metric.statistic} 延迟分位点对应的逻辑载荷速率`;
   }
-  return metric.measure === 'latency_us'
-    ? `${metric.statistic} latency`
-    : `logical payload rate at ${metric.statistic} latency`;
+  if (metric.measure === 'latency_us') return `${metric.statistic} latency`;
+  const rate =
+    metric.measure === 'activation_data_rate_gbps_at_latency_percentile'
+      ? 'activation-data rate'
+      : 'total logical data rate';
+  return `${rate} at ${metric.statistic} latency`;
 }
 
 function metricLabel(ranking: CollectiveXRanking, locale: 'en' | 'zh'): string {
@@ -445,7 +461,7 @@ function metricLabel(ranking: CollectiveXRanking, locale: 'en' | 'zh'): string {
   const measure =
     metric.measure === 'latency_us'
       ? `${metric.statistic} latency`
-      : `logical payload rate at ${metric.statistic} latency`;
+      : decisionMetricName(metric, 'en');
   return `${metric.phase} T=${metric.tokens_per_rank} ${metric.operation} ${measure}`;
 }
 
@@ -455,6 +471,12 @@ export function collectiveXCohortLabel(
   locale: 'en' | 'zh',
 ): string {
   if (locale === 'en') return cohort.label;
+  if (
+    cohort.kind === 'dispatch-precision' ||
+    cohort.kind === 'combine-precision' ||
+    cohort.kind === 'precision-pair'
+  )
+    return cohort.label;
   const first = seriesById.get(cohort.series_ids[0]);
   if (!first) return cohort.label;
   const members = cohort.series_ids.flatMap((seriesId) => {
@@ -483,6 +505,12 @@ function rankingLabel(
   locale: 'en' | 'zh',
 ): string {
   if (locale === 'en') return ranking.label;
+  if (
+    cohort.kind === 'dispatch-precision' ||
+    cohort.kind === 'combine-precision' ||
+    cohort.kind === 'precision-pair'
+  )
+    return ranking.label;
   return `${STRINGS.zh.decision.cohortKind[cohort.kind]} ${decisionMetricName(ranking.metric, locale)} T=${ranking.metric.tokens_per_rank}`;
 }
 
@@ -495,7 +523,12 @@ function recommendationLabel(
   const point = seriesById
     .get(recommendation.series_id)
     ?.points.find((item) => item.point_id === recommendation.point_id);
-  const objective = STRINGS.zh.decision.recommendationObjective[recommendation.objective];
+  const objective =
+    recommendation.objective === 'min-p50-latency' || recommendation.objective === 'min-p99-latency'
+      ? STRINGS.zh.decision.recommendationObjective[recommendation.objective]
+      : recommendation.objective.includes('activation')
+        ? `highest activation-data rate at ${recommendation.objective.includes('p50') ? 'p50' : 'p99'} latency`
+        : `highest total logical data rate at ${recommendation.objective.includes('p50') ? 'p50' : 'p99'} latency`;
   return point ? `T=${point.tokens_per_rank} 时 ${objective}` : objective;
 }
 
@@ -524,8 +557,22 @@ function recommendationMetric(
   const [measure, statistic] = {
     'min-p50-latency': ['latency_us', 'p50'],
     'min-p99-latency': ['latency_us', 'p99'],
-    'max-payload-rate-at-p50-latency': ['logical_payload_rate_gbps_at_latency_percentile', 'p50'],
-    'max-payload-rate-at-p99-latency': ['logical_payload_rate_gbps_at_latency_percentile', 'p99'],
+    'max-activation-data-rate-at-p50-latency': [
+      'activation_data_rate_gbps_at_latency_percentile',
+      'p50',
+    ],
+    'max-activation-data-rate-at-p99-latency': [
+      'activation_data_rate_gbps_at_latency_percentile',
+      'p99',
+    ],
+    'max-total-logical-data-rate-at-p50-latency': [
+      'total_logical_data_rate_gbps_at_latency_percentile',
+      'p50',
+    ],
+    'max-total-logical-data-rate-at-p99-latency': [
+      'total_logical_data_rate_gbps_at_latency_percentile',
+      'p99',
+    ],
   }[recommendation.objective] as [CollectiveXMetric['measure'], CollectiveXMetric['statistic']];
   return {
     operation: 'roundtrip',
@@ -714,6 +761,13 @@ export function CollectiveXAttemptTable({
         sortValue: (row) => row.attempt_index,
         className: 'tabular-nums',
       },
+      {
+        header: 'Qualification',
+        align: 'right',
+        cell: (row) => `Q${row.qualification_index}`,
+        sortValue: (row) => row.qualification_index,
+        className: 'tabular-nums whitespace-nowrap',
+      },
       {
         header: t.outcomeHeader,
         cell: (row) => <OutcomeBadge outcome={row.outcome} />,
diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
index e65a08a02..247e00150 100644
--- a/packages/app/src/components/collectivex/data.test.ts
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -1,3 +1,6 @@
+import { createHash } from 'node:crypto';
+import { readFileSync } from 'node:fs';
+
 import { describe, expect, it } from 'vitest';
 
 import {
@@ -13,13 +16,62 @@ import {
 import { makeCollectiveXDataset } from './test-fixture';
 
 describe('CollectiveX EP projections', () => {
+  it('covers the complete frozen seven-SKU V1 matrix catalog', () => {
+    const bytes = readFileSync(new URL('full-catalog.v1.json', import.meta.url));
+    const catalog = JSON.parse(bytes.toString()) as {
+      format: string;
+      schema_version: number;
+      matrix_sha256: string;
+      case_count: number;
+      point_count: number;
+      precision_profiles: Record<string, unknown>;
+      cases: {
+        case_id: string;
+        disposition: 'runnable' | 'unsupported';
+        points: unknown[];
+        precision_profile: string;
+        sku: string;
+      }[];
+    };
+
+    expect(createHash('sha256').update(bytes).digest('hex')).toBe(
+      '86ac7bb3f9f6310385db52f6f77554d705985bd99e387ecb5fedd627c11994d7',
+    );
+    expect(catalog).toMatchObject({
+      format: 'collectivex.frontend-catalog.v1',
+      schema_version: 1,
+      matrix_sha256: 'c6988c5e81239ace699541322a88a37bfd80819d8bc1a2446f928665cd3ebba0',
+      case_count: 664,
+      point_count: 1532,
+    });
+    expect(new Set(catalog.cases.map(({ case_id }) => case_id)).size).toBe(664);
+    expect(catalog.cases.reduce((count, { points }) => count + points.length, 0)).toBe(1532);
+    expect(catalog.cases.filter(({ disposition }) => disposition === 'runnable')).toHaveLength(393);
+    expect(catalog.cases.filter(({ disposition }) => disposition === 'unsupported')).toHaveLength(
+      271,
+    );
+    expect([...new Set(catalog.cases.map(({ sku }) => sku))].toSorted()).toEqual([
+      'b200-dgxc',
+      'b300',
+      'gb200',
+      'gb300',
+      'h100-dgxc',
+      'h200-dgxc',
+      'mi355x',
+    ]);
+    expect(catalog.cases.some(({ sku }) => sku === 'mi325x')).toBe(false);
+    expect(
+      [...new Set(catalog.cases.map(({ precision_profile }) => precision_profile))].toSorted(),
+    ).toEqual(Object.keys(catalog.precision_profiles).toSorted());
+  });
+
   it('orders decision metrics by phase, token count, measure, and percentile', () => {
     const base = makeCollectiveXDataset().rankings[0].metric;
     const metrics = [
       { ...base, phase: 'prefill' as const, tokens_per_rank: 512, statistic: 'p99' as const },
       {
         ...base,
-        measure: 'logical_payload_rate_gbps_at_latency_percentile' as const,
+        measure: 'total_logical_data_rate_gbps_at_latency_percentile' as const,
         objective: 'max' as const,
         statistic: 'p50' as const,
       },
@@ -35,7 +87,7 @@ describe('CollectiveX EP projections', () => {
     ).toEqual([
       'decode/16/latency_us/p50',
       'decode/16/latency_us/p99',
-      'decode/128/logical_payload_rate_gbps_at_latency_percentile/p50',
+      'decode/128/total_logical_data_rate_gbps_at_latency_percentile/p50',
       'prefill/512/latency_us/p99',
     ]);
   });
@@ -45,25 +97,28 @@ describe('CollectiveX EP projections', () => {
     const pairedOnly = dataset.series[1].points[0];
 
     expect(metricValue(pairedOnly, 'dispatch', 'p99', 'latency')).toBeNull();
-    expect(metricValue(pairedOnly, 'combine', 'p99', 'payload-rate')).toBeNull();
+    expect(metricValue(pairedOnly, 'combine', 'p99', 'total-logical-rate')).toBeNull();
     expect(metricValue(pairedOnly, 'roundtrip', 'p99', 'latency')).toBe(120);
     expect(metricValue(pairedOnly, 'roundtrip', 'p99', 'tokens-per-second')).toBeCloseTo(
       8_533_333.33,
     );
   });
 
-  it('uses publisher supplied logical rates', () => {
+  it('uses publisher supplied activation and total logical rates', () => {
     const point = makeCollectiveXDataset().series[0].points[0];
-    point.components.roundtrip!.logical_payload_rate_gbps_at_latency_percentile!.p99 = 123.45;
+    point.components.roundtrip!.activation_data_rate_gbps_at_latency_percentile!.p99 = 123.45;
+    point.components.roundtrip!.total_logical_data_rate_gbps_at_latency_percentile!.p99 = 125.67;
 
-    expect(metricValue(point, 'roundtrip', 'p99', 'payload-rate')).toBe(123.45);
-    expect(metricValue(point, 'roundtrip', 'p95', 'payload-rate')).toBeGreaterThan(0);
+    expect(metricValue(point, 'roundtrip', 'p99', 'activation-rate')).toBe(123.45);
+    expect(metricValue(point, 'roundtrip', 'p99', 'total-logical-rate')).toBe(125.67);
+    expect(metricValue(point, 'roundtrip', 'p95', 'total-logical-rate')).toBeGreaterThan(0);
   });
 
   it('omits unavailable series from a component projection', () => {
     const series = makeCollectiveXDataset().series;
 
     expect(chartPoints(series, 'dispatch', 'p99', 'tokens-per-rank', 'latency')).toHaveLength(1);
+    expect(chartPoints(series, 'stage', 'p99', 'tokens-per-rank', 'latency')).toHaveLength(1);
     expect(chartPoints(series, 'roundtrip', 'p99', 'tokens-per-rank', 'latency')).toHaveLength(7);
   });
 
diff --git a/packages/app/src/components/collectivex/data.ts b/packages/app/src/components/collectivex/data.ts
index dc0e655ce..f15bd4eee 100644
--- a/packages/app/src/components/collectivex/data.ts
+++ b/packages/app/src/components/collectivex/data.ts
@@ -25,7 +25,11 @@ export interface CollectiveXSeriesSelection {
 
 const DECISION_ORDER = {
   phase: { decode: 0, prefill: 1 },
-  measure: { latency_us: 0, logical_payload_rate_gbps_at_latency_percentile: 1 },
+  measure: {
+    latency_us: 0,
+    activation_data_rate_gbps_at_latency_percentile: 1,
+    total_logical_data_rate_gbps_at_latency_percentile: 2,
+  },
   statistic: { p50: 0, p99: 1 },
   objective: { min: 0, max: 1 },
 } as const;
@@ -66,7 +70,7 @@ export function collectiveXSeriesLabel(series: CollectiveXSeries): string {
   const identity = series.series_id.slice(-8);
   const tier = series.publication_tier === 'official' ? 'official' : 'experimental';
   const routing = `${series.workload.routing}${series.workload.eplb ? '+eplb' : ''}`;
-  return `${series.system.sku.toUpperCase()} EP${series.system.ep_size} · ${series.backend.label} · ${series.mode} · ${series.system.scope} · ${series.system.topology_class} · ${series.phase} · ${routing} · ${version} · ${series.resource.profile} · build ${build} · series ${identity} · ${tier}`;
+  return `${series.system.sku.toUpperCase()} EP${series.system.ep_size} · ${series.backend.label} · ${series.mode} · ${series.system.scope} · ${series.system.topology_class} · ${series.phase} · ${routing} · ${series.workload.precision_profile} · ${version} · ${series.resource.profile} · build ${build} · series ${identity} · ${tier}`;
 }
 
 export function collectiveXColorKey(series: CollectiveXSeries): string {
@@ -98,6 +102,9 @@ export function collectiveXColorKey(series: CollectiveXSeries): string {
     series.build.source_sha,
     series.build.squash_sha256,
     routing,
+    series.workload.precision_profile,
+    JSON.stringify(series.workload.dispatch_precision),
+    JSON.stringify(series.workload.combine_precision),
     eplb,
     series.resource.profile,
     units,
@@ -149,7 +156,9 @@ export function metricValue(
       ? point.roundtrip_token_rate_at_latency_percentile[percentile]
       : null;
   }
-  return component.logical_payload_rate_gbps_at_latency_percentile?.[percentile] ?? null;
+  return yAxis === 'activation-rate'
+    ? (component.activation_data_rate_gbps_at_latency_percentile?.[percentile] ?? null)
+    : (component.total_logical_data_rate_gbps_at_latency_percentile?.[percentile] ?? null);
 }
 
 export function chartPoints(
@@ -209,7 +218,11 @@ export function comparisonDifferences(series: CollectiveXSeries[]): string[] {
     ],
     ['routing', (item) => `${item.workload.routing}/${item.workload.eplb}`],
     ['EPLB plan', (item) => JSON.stringify(item.eplb)],
-    ['dtypes', (item) => `${item.workload.dispatch_dtype}/${item.workload.combine_dtype}`],
+    [
+      'dtypes',
+      (item) =>
+        `${item.workload.precision_profile}/${JSON.stringify(item.workload.dispatch_precision)}/${JSON.stringify(item.workload.combine_precision)}`,
+    ],
     ['resource profile', (item) => JSON.stringify(item.resource)],
     ['measurement', (item) => JSON.stringify(item.measurement)],
     ['token ladder', (item) => item.points.map((point) => point.tokens_per_rank).join(',')],
@@ -218,13 +231,16 @@ export function comparisonDifferences(series: CollectiveXSeries[]): string[] {
       (item) =>
         item.points
           .map((point) =>
-            ['dispatch', 'combine', 'roundtrip', 'isolated_sum']
+            ['dispatch', 'stage', 'combine', 'roundtrip', 'isolated_sum']
               .map((name) => point.components[name as keyof typeof point.components] !== null)
               .join('/'),
           )
           .join(','),
     ],
-    ['correctness', (item) => item.points.map((point) => point.correct).join(',')],
+    [
+      'correctness',
+      (item) => item.points.map((point) => JSON.stringify(point.correctness)).join(','),
+    ],
   ];
   for (const [label, getValue] of checks) {
     if (different(getValue)) warnings.push(label);
diff --git a/packages/app/src/components/collectivex/full-catalog.v1.json b/packages/app/src/components/collectivex/full-catalog.v1.json
new file mode 100644
index 000000000..0bbb515a3
--- /dev/null
+++ b/packages/app/src/components/collectivex/full-catalog.v1.json
@@ -0,0 +1 @@
+{"case_count":664,"cases":[{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-dc3957540eca33bff84d3fa31ba305c27ef8c7f0af2960230d168db562260fd6","disposition":"runnable","eplb":false,"label":"H100-DGXC / deepep / EP8 / normal / decode / uniform","mode":"normal","phase":"decode","points":[{"global_tokens":8,"tokens_per_rank":1},{"global_tokens":16,"tokens_per_rank":2},{"global_tokens":32,"tokens_per_rank":4},{"global_tokens":64,"tokens_per_rank":8},{"global_tokens":128,"tokens_per_rank":16},{"global_tokens":256,"tokens_per_rank":32},{"global_tokens":512,"tokens_per_rank":64},{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-bf16","publication_tier":"official","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"h100-dgxc","suite":"ep-core-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"h100-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"deepep-v2","backend_generation":null,"case_id":"cxcase-v1-818f3d4ae3f1fc7adc719a6f950dfc47fa55135c4ab5323be2a50bd725a2bd59","disposition":"unsupported","eplb":false,"label":"H100-DGXC / deepep-v2 / EP8 / normal / decode / uniform","mode":"normal","phase":"decode","points":[{"global_tokens":8,"tokens_per_rank":1},{"global_tokens":16,"tokens_per_rank":2},{"global_tokens":32,"tokens_per_rank":4},{"global_tokens":64,"tokens_per_rank":8},{"global_tokens":128,"tokens_per_rank":16},{"global_tokens":256,"tokens_per_rank":32},{"global_tokens":512,"tokens_per_rank":64},{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-bf16","publication_tier":"official","reason":"backend-platform-unsupported","required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"h100-dgxc","suite":"ep-core-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"h100-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"uccl","backend_generation":null,"case_id":"cxcase-v1-6898a817b7d7d270a0c0e4c4d58eb35e28e7620d85245b53d874c053dbd0aefc","disposition":"runnable","eplb":false,"label":"H100-DGXC / uccl / EP8 / normal / decode / uniform","mode":"normal","phase":"decode","points":[{"global_tokens":8,"tokens_per_rank":1},{"global_tokens":16,"tokens_per_rank":2},{"global_tokens":32,"tokens_per_rank":4},{"global_tokens":64,"tokens_per_rank":8},{"global_tokens":128,"tokens_per_rank":16},{"global_tokens":256,"tokens_per_rank":32},{"global_tokens":512,"tokens_per_rank":64},{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-bf16","publication_tier":"official","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"h100-dgxc","suite":"ep-core-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"h100-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"deepep-hybrid","backend_generation":null,"case_id":"cxcase-v1-2eb2e59b880fe5777b900bf05cbf112a02849e3b07122548071917cfdb46b37f","disposition":"runnable","eplb":false,"label":"H100-DGXC / deepep-hybrid / EP8 / normal / decode / uniform","mode":"normal","phase":"decode","points":[{"global_tokens":8,"tokens_per_rank":1},{"global_tokens":16,"tokens_per_rank":2},{"global_tokens":32,"tokens_per_rank":4},{"global_tokens":64,"tokens_per_rank":8},{"global_tokens":128,"tokens_per_rank":16},{"global_tokens":256,"tokens_per_rank":32},{"global_tokens":512,"tokens_per_rank":64},{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-bf16","publication_tier":"official","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"h100-dgxc","suite":"ep-core-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"h100-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"mori","backend_generation":null,"case_id":"cxcase-v1-376c206e9037102670c0c2d829f55bb61bf26d76f71ddb94a5a6cbd9b17b6795","disposition":"unsupported","eplb":false,"label":"H100-DGXC / mori / EP8 / normal / decode / uniform","mode":"normal","phase":"decode","points":[{"global_tokens":8,"tokens_per_rank":1},{"global_tokens":16,"tokens_per_rank":2},{"global_tokens":32,"tokens_per_rank":4},{"global_tokens":64,"tokens_per_rank":8},{"global_tokens":128,"tokens_per_rank":16},{"global_tokens":256,"tokens_per_rank":32},{"global_tokens":512,"tokens_per_rank":64},{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-bf16","publication_tier":"official","reason":"backend-platform-unsupported","required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"h100-dgxc","suite":"ep-core-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"h100-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"nccl-ep","backend_generation":null,"case_id":"cxcase-v1-1109463b8dba5ebd5debbeed7c52df9ead477c20f91fe9cae76e2621a666a873","disposition":"runnable","eplb":false,"label":"H100-DGXC / nccl-ep / EP8 / normal / decode / 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uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":2048,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-logfmt10-dynamic64","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"gb300","suite":"ep-precision-low-latency-v1","topology":{"ep_size":16,"gpus_per_node":4,"nodes":4,"scale_out_transport":null,"scale_up_domain":72,"scale_up_transport":"mnnvl","scope":"scale-up","topology_class":"gb300-nvl72-mnnvl","transport":"mnnvl"},"workload":"deepseek-v3-v1"},{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-fc1412accd4ab4d518c882d7b1f28c962ea735f4774d71e154c83b590cfcb1b1","disposition":"runnable","eplb":false,"label":"GB300 / deepep / EP16 / low-latency / decode / uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":2048,"tokens_per_rank":128}],"precision_profile":"d-fp8-e4m3fn-b128-f32-fused.c-logfmt10-dynamic64","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"gb300","suite":"ep-precision-low-latency-v1","topology":{"ep_size":16,"gpus_per_node":4,"nodes":4,"scale_out_transport":null,"scale_up_domain":72,"scale_up_transport":"mnnvl","scope":"scale-up","topology_class":"gb300-nvl72-mnnvl","transport":"mnnvl"},"workload":"deepseek-v3-v1"},{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-3cc784fe4db69a4424425704e3ad0756df8751a1ae28fa3bb21feed23c8daaee","disposition":"runnable","eplb":false,"label":"GB200 / deepep / EP8 / low-latency / decode / uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-fp8-e4m3fn-b128-f32-fused.c-bf16","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"gb200","suite":"ep-precision-low-latency-v1","topology":{"ep_size":8,"gpus_per_node":4,"nodes":2,"scale_out_transport":null,"scale_up_domain":72,"scale_up_transport":"mnnvl","scope":"scale-up","topology_class":"gb200-nvl72-mnnvl","transport":"mnnvl"},"workload":"deepseek-v3-v1"},{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-335c78abd8b9789aba70ace348293a38a5d7b7a9d930d015e306cc271e859613","disposition":"runnable","eplb":false,"label":"GB200 / deepep / EP8 / low-latency / decode / uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-logfmt10-dynamic64","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"gb200","suite":"ep-precision-low-latency-v1","topology":{"ep_size":8,"gpus_per_node":4,"nodes":2,"scale_out_transport":null,"scale_up_domain":72,"scale_up_transport":"mnnvl","scope":"scale-up","topology_class":"gb200-nvl72-mnnvl","transport":"mnnvl"},"workload":"deepseek-v3-v1"},{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-d50b57f18f5893c48d02177d3a725f822ae0c460fab910cca1e98024a326fc87","disposition":"runnable","eplb":false,"label":"GB200 / deepep / EP8 / low-latency / decode / uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-fp8-e4m3fn-b128-f32-fused.c-logfmt10-dynamic64","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"gb200","suite":"ep-precision-low-latency-v1","topology":{"ep_size":8,"gpus_per_node":4,"nodes":2,"scale_out_transport":null,"scale_up_domain":72,"scale_up_transport":"mnnvl","scope":"scale-up","topology_class":"gb200-nvl72-mnnvl","transport":"mnnvl"},"workload":"deepseek-v3-v1"},{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-ea8e14e6f6d51491ce097add5971da679965bc2219b8907859dfe420e3f5ba8c","disposition":"runnable","eplb":false,"label":"GB200 / deepep / EP16 / low-latency / decode / uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":2048,"tokens_per_rank":128}],"precision_profile":"d-fp8-e4m3fn-b128-f32-fused.c-bf16","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"gb200","suite":"ep-precision-low-latency-v1","topology":{"ep_size":16,"gpus_per_node":4,"nodes":4,"scale_out_transport":null,"scale_up_domain":72,"scale_up_transport":"mnnvl","scope":"scale-up","topology_class":"gb200-nvl72-mnnvl","transport":"mnnvl"},"workload":"deepseek-v3-v1"},{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-bf19529030e309696e159f98506890c885adf1cbc8293e10866564d51ae09d2d","disposition":"runnable","eplb":false,"label":"GB200 / deepep / EP16 / low-latency / decode / uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":2048,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-logfmt10-dynamic64","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"gb200","suite":"ep-precision-low-latency-v1","topology":{"ep_size":16,"gpus_per_node":4,"nodes":4,"scale_out_transport":null,"scale_up_domain":72,"scale_up_transport":"mnnvl","scope":"scale-up","topology_class":"gb200-nvl72-mnnvl","transport":"mnnvl"},"workload":"deepseek-v3-v1"},{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-848b6423b349a20b9fd03fdf473bf7ed5fc8c700a6396f4be4eefcad535d0612","disposition":"runnable","eplb":false,"label":"GB200 / deepep / EP16 / low-latency / decode / uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":2048,"tokens_per_rank":128}],"precision_profile":"d-fp8-e4m3fn-b128-f32-fused.c-logfmt10-dynamic64","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"gb200","suite":"ep-precision-low-latency-v1","topology":{"ep_size":16,"gpus_per_node":4,"nodes":4,"scale_out_transport":null,"scale_up_domain":72,"scale_up_transport":"mnnvl","scope":"scale-up","topology_class":"gb200-nvl72-mnnvl","transport":"mnnvl"},"workload":"deepseek-v3-v1"}],"format":"collectivex.frontend-catalog.v1","matrix_sha256":"c6988c5e81239ace699541322a88a37bfd80819d8bc1a2446f928665cd3ebba0","point_count":1532,"precision_profiles":{"d-bf16.c-bf16":{"combine":{"alignment_contract":"native-bf16-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"bf16","conversion_boundary":"none","padding_contract":"none","quantization_origin":"none","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"},"dispatch":{"alignment_contract":"native-bf16-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"bf16","conversion_boundary":"none","padding_contract":"none","quantization_origin":"none","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"}},"d-bf16.c-fp8-e4m3fn-direct-cast-noscale":{"combine":{"alignment_contract":"native-fp8-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"fp8-e4m3fn","conversion_boundary":"inside-combine-timing","padding_contract":"none","quantization_origin":"backend-internal-direct-cast","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"},"dispatch":{"alignment_contract":"native-bf16-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"bf16","conversion_boundary":"none","padding_contract":"none","quantization_origin":"none","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"}},"d-bf16.c-logfmt10-dynamic64":{"combine":{"alignment_contract":"value-block-64","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"logfmt10","conversion_boundary":"inside-combine-timing","padding_contract":"right-zero-pad-values-to-64","quantization_origin":"backend-internal","scale_dtype":"implicit-logfmt10","scale_group_size":64,"scale_layout":"dynamic-per-64-values"},"dispatch":{"alignment_contract":"native-bf16-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"bf16","conversion_boundary":"none","padding_contract":"none","quantization_origin":"none","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"}},"d-fp8-e4m3fn-b128-f32-fused.c-bf16":{"combine":{"alignment_contract":"native-bf16-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"bf16","conversion_boundary":"none","padding_contract":"none","quantization_origin":"none","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"},"dispatch":{"alignment_contract":"hidden-block-128","api_input_dtype":"bf16","api_output_dtype":"fp8-e4m3fn-with-f32-scale","communication_format":"fp8-e4m3fn","conversion_boundary":"inside-dispatch-timing","padding_contract":"right-zero-pad-hidden-to-128","quantization_origin":"backend-fused","scale_dtype":"f32","scale_group_size":128,"scale_layout":"per-token-hidden-block"}},"d-fp8-e4m3fn-b128-f32-fused.c-logfmt10-dynamic64":{"combine":{"alignment_contract":"value-block-64","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"logfmt10","conversion_boundary":"inside-combine-timing","padding_contract":"right-zero-pad-values-to-64","quantization_origin":"backend-internal","scale_dtype":"implicit-logfmt10","scale_group_size":64,"scale_layout":"dynamic-per-64-values"},"dispatch":{"alignment_contract":"hidden-block-128","api_input_dtype":"bf16","api_output_dtype":"fp8-e4m3fn-with-f32-scale","communication_format":"fp8-e4m3fn","conversion_boundary":"inside-dispatch-timing","padding_contract":"right-zero-pad-hidden-to-128","quantization_origin":"backend-fused","scale_dtype":"f32","scale_group_size":128,"scale_layout":"per-token-hidden-block"}},"d-fp8-e4m3fn-b128-f32-prequantized.c-bf16":{"combine":{"alignment_contract":"native-bf16-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"bf16","conversion_boundary":"none","padding_contract":"none","quantization_origin":"none","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"},"dispatch":{"alignment_contract":"hidden-block-128","api_input_dtype":"fp8-e4m3fn-with-f32-scale","api_output_dtype":"fp8-e4m3fn-with-f32-scale","communication_format":"fp8-e4m3fn","conversion_boundary":"before-dispatch-timing","padding_contract":"right-zero-pad-hidden-to-128","quantization_origin":"caller-prequantized","scale_dtype":"f32","scale_group_size":128,"scale_layout":"per-token-hidden-block"}},"d-fp8-e4m3fn-b128-f32-prequantized.c-fp8-e4m3fn-direct-cast-noscale":{"combine":{"alignment_contract":"native-fp8-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"fp8-e4m3fn","conversion_boundary":"inside-combine-timing","padding_contract":"none","quantization_origin":"backend-internal-direct-cast","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"},"dispatch":{"alignment_contract":"hidden-block-128","api_input_dtype":"fp8-e4m3fn-with-f32-scale","api_output_dtype":"fp8-e4m3fn-with-f32-scale","communication_format":"fp8-e4m3fn","conversion_boundary":"before-dispatch-timing","padding_contract":"right-zero-pad-hidden-to-128","quantization_origin":"caller-prequantized","scale_dtype":"f32","scale_group_size":128,"scale_layout":"per-token-hidden-block"}}},"schema_version":1}
diff --git a/packages/app/src/components/collectivex/reader.test.ts b/packages/app/src/components/collectivex/reader.test.ts
index 8a0c5957d..857542e86 100644
--- a/packages/app/src/components/collectivex/reader.test.ts
+++ b/packages/app/src/components/collectivex/reader.test.ts
@@ -11,6 +11,8 @@ import {
   makeCollectiveXContractDataset,
   makeCollectiveXDataset,
   makeCollectiveXDiagnosticDataset,
+  makeCollectiveXDatasetWithPrecisionCohorts,
+  makeCollectiveXInventoryDataset,
 } from './test-fixture';
 
 const mockFetch = vi.fn();
@@ -57,9 +59,10 @@ describe('CollectiveX publication reader', () => {
     });
     expect(lowLatency.measurement).toMatchObject({
       contract: 'expert-packed-weighted-combine-v1',
-      component_order_contract: 'roundtrip-dispatch-gate-weighted-combine-v1',
+      component_order_contract: 'qualification-hash-rotated-components-v1',
       combine_semantics: 'gate-weighted',
       payload_unit: 'token-expert',
+      qualification_indices: [1, 2, 3],
     });
     expect(unsupported.topology).toMatchObject({
       ep_size: 16,
@@ -69,6 +72,91 @@ describe('CollectiveX publication reader', () => {
     });
   });
 
+  it('parses inventory coverage with independent precision axes and point status', () => {
+    const result = parseCollectiveXDataset(makeCollectiveXInventoryDataset());
+    const points = result.coverage.flatMap((item) => item.points);
+    const precisionPairs = new Set(
+      result.coverage.map(
+        (item) =>
+          `${item.dispatch_precision.communication_format}/${item.combine_precision.communication_format}`,
+      ),
+    );
+
+    const unsupportedCases = result.coverage.filter((item) => item.disposition === 'unsupported');
+    const measuredCases = result.coverage.filter((item) => item.disposition === 'runnable');
+    expect(result.coverage).toHaveLength(result.promotion.requested_cases);
+    expect(points).toHaveLength(result.promotion.requested_points);
+    expect(result.promotion).toMatchObject({
+      measured_cases: measuredCases.length,
+      unsupported_cases: unsupportedCases.length,
+      measured_points: measuredCases.reduce((total, item) => total + item.points.length, 0),
+      unsupported_points: unsupportedCases.reduce((total, item) => total + item.points.length, 0),
+    });
+    expect(precisionPairs).toEqual(new Set(['bf16/bf16', 'fp8-e4m3fn/bf16']));
+    expect(points.find((point) => point.terminal_status === 'unsupported')).toMatchObject({
+      point_id: null,
+      series_id: null,
+      reason: 'backend-platform-unsupported',
+    });
+    expect(points.find((point) => point.terminal_status === 'measured')).toMatchObject({
+      terminal_status: 'measured',
+      reason: null,
+    });
+    expect(new TextEncoder().encode(JSON.stringify(result)).length).toBeLessThan(32 * 1024 * 1024);
+  });
+
+  it('accepts publisher-declared precision cohorts without inventing recommendations', () => {
+    const result = parseCollectiveXDataset(makeCollectiveXDatasetWithPrecisionCohorts());
+    const precisionKinds = new Set(['dispatch-precision', 'combine-precision', 'precision-pair']);
+    const precisionCohorts = result.cohorts.filter((cohort) => precisionKinds.has(cohort.kind));
+
+    expect(precisionCohorts.map((cohort) => cohort.kind)).toEqual([
+      'dispatch-precision',
+      'combine-precision',
+      'precision-pair',
+    ]);
+    expect(
+      result.rankings.filter((ranking) =>
+        precisionCohorts.some((cohort) => cohort.cohort_id === ranking.cohort_id),
+      ),
+    ).toHaveLength(12);
+    expect(
+      result.sensitivities.filter((sensitivity) =>
+        precisionCohorts.some((cohort) => cohort.cohort_id === sensitivity.cohort_id),
+      ),
+    ).toHaveLength(2);
+    expect(
+      result.recommendations.some((recommendation) =>
+        precisionCohorts.some((cohort) => cohort.cohort_id === recommendation.cohort_id),
+      ),
+    ).toBe(false);
+    const pair = precisionCohorts.find((cohort) => cohort.kind === 'precision-pair')!;
+    expect(result.rankings.some((ranking) => ranking.cohort_id === pair.cohort_id)).toBe(false);
+  });
+
+  it('accepts publisher p99 equivalence ties and rejects descriptive pair rankings', () => {
+    const tied = makeCollectiveXDataset();
+    const p99 = tied.rankings.find(
+      (ranking) => ranking.metric.measure === 'latency_us' && ranking.metric.statistic === 'p99',
+    )!;
+    p99.entries[1].rank = 1;
+    tied.recommendations = tied.recommendations.filter(
+      (recommendation) => recommendation.cohort_id !== p99.cohort_id,
+    );
+    expect(() => parseCollectiveXDataset(tied)).not.toThrow();
+
+    const paired = makeCollectiveXDatasetWithPrecisionCohorts();
+    const pair = paired.cohorts.find((cohort) => cohort.kind === 'precision-pair')!;
+    const dispatch = paired.cohorts.find((cohort) => cohort.kind === 'dispatch-precision')!;
+    const ranking = structuredClone(
+      paired.rankings.find((item) => item.cohort_id === dispatch.cohort_id)!,
+    );
+    ranking.ranking_id = `cxranking-v1-${'f'.repeat(64)}`;
+    ranking.cohort_id = pair.cohort_id;
+    paired.rankings.push(ranking);
+    expect(() => parseCollectiveXDataset(paired)).toThrow('invalid metric metadata');
+  });
+
   it('rejects unknown, missing, and stale structural fields', () => {
     const unknown = makeCollectiveXDataset() as unknown as Record<string, unknown>;
     unknown.browser_decision = true;
@@ -83,9 +171,11 @@ describe('CollectiveX publication reader', () => {
       string,
       unknown
     >;
-    component.logical_gbps = component.logical_payload_rate_gbps_at_latency_percentile;
-    delete component.logical_payload_rate_gbps_at_latency_percentile;
-    expect(() => parseCollectiveXDataset(staleMetric)).toThrow('logical_payload_rate');
+    component.logical_gbps = component.total_logical_data_rate_gbps_at_latency_percentile;
+    delete component.total_logical_data_rate_gbps_at_latency_percentile;
+    expect(() => parseCollectiveXDataset(staleMetric)).toThrow(
+      'total_logical_data_rate_gbps_at_latency_percentile',
+    );
 
     const missingTopologyScope = makeCollectiveXContractDataset();
     delete (
@@ -98,6 +188,10 @@ describe('CollectiveX publication reader', () => {
     const staleMode = makeCollectiveXContractDataset();
     (staleMode.series.at(-1) as unknown as Record<string, unknown>).mode = 'll';
     expect(() => parseCollectiveXDataset(staleMode)).toThrow('normal');
+
+    const disabledCalibration = makeCollectiveXDataset();
+    disabledCalibration.series[0].eplb.calibration_token_offset = 0;
+    expect(() => parseCollectiveXDataset(disabledCalibration)).toThrow('EPLB calibration fields');
   });
 
   it('matches backend eligibility and evidence uniqueness constraints', () => {
@@ -360,6 +454,32 @@ describe('CollectiveX publication reader', () => {
     );
   });
 
+  it('rejects misordered or incomplete publisher decisions', () => {
+    const misordered = makeCollectiveXDataset();
+    const entries = misordered.rankings[0].entries;
+    [entries[0], entries[1]] = [entries[1], entries[0]];
+    entries.forEach((entry, index) => {
+      entry.rank = index + 1;
+    });
+    expect(() => parseCollectiveXDataset(misordered)).toThrow('invalid ordering');
+
+    const missingRanking = makeCollectiveXDataset();
+    missingRanking.rankings.pop();
+    expect(() => parseCollectiveXDataset(missingRanking)).toThrow(
+      'rankings do not cover every eligible cohort metric',
+    );
+
+    const wrongObjective = makeCollectiveXDataset();
+    wrongObjective.recommendations[0].objective = 'min-p50-latency';
+    expect(() => parseCollectiveXDataset(wrongObjective)).toThrow('invalid publication links');
+
+    const missingRecommendation = makeCollectiveXDataset();
+    missingRecommendation.recommendations.pop();
+    expect(() => parseCollectiveXDataset(missingRecommendation)).toThrow(
+      'recommendations do not cover every actionable ranking',
+    );
+  });
+
   it('accepts only digest-addressed public channel paths', () => {
     const digest = 'a'.repeat(64);
     expect(
@@ -435,7 +555,7 @@ describe('CollectiveX publication reader', () => {
     mockFetch.mockResolvedValueOnce({ ok: false, status: 503, headers: new Headers() });
     await expect(fetchCollectiveXPublication()).rejects.toMatchObject({
       name: 'CollectiveXDataError',
-      availabilityReason: 'store-unavailable',
+      availabilityReason: 'source-unavailable',
     });
 
     mockFetch.mockReset();
@@ -479,28 +599,20 @@ describe('CollectiveX publication reader', () => {
 
     mockFetch.mockReset();
     mockPublication(bytes, digest, { pointerChannel: 'latest-attempt' });
-    await expect(fetchCollectiveXPublication('dev-latest')).rejects.toThrow(
-      'channel name does not match',
-    );
+    await expect(fetchCollectiveXPublication('dev-latest')).rejects.toThrow('dev-latest');
 
     mockFetch.mockReset();
     mockPublication(bytes, digest, { pointerTimestamp: '2099-01-01T00:00:00Z' });
     await expect(fetchCollectiveXPublication()).rejects.toThrow('timestamp does not match');
   });
 
-  it('requires a promoted dataset only on dev-latest', async () => {
+  it('requires the only public channel to reference a promoted dataset', async () => {
     const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDiagnosticDataset()));
     const digest = await sha256Hex(bytes);
     mockPublication(bytes, digest);
     await expect(fetchCollectiveXPublication('dev-latest')).rejects.toThrow(
       'does not reference a promoted dataset',
     );
-
-    mockFetch.mockReset();
-    mockPublication(bytes, digest, { pointerChannel: 'latest-attempt' });
-    await expect(fetchCollectiveXPublication('latest-attempt')).resolves.toMatchObject({
-      dataset: { promotion: { status: 'diagnostic' } },
-    });
   });
 
   it('rejects duplicate JSON keys before schema validation', async () => {
diff --git a/packages/app/src/components/collectivex/reader.ts b/packages/app/src/components/collectivex/reader.ts
index ba86cb0de..dfc6bdb63 100644
--- a/packages/app/src/components/collectivex/reader.ts
+++ b/packages/app/src/components/collectivex/reader.ts
@@ -23,10 +23,7 @@ export const collectiveXChannelUrl = (
   version: CollectiveXVersion = 'v1',
 ) => `${collectiveXPublicRoot(version)}channels/${channel}.json`;
 
-export type CollectiveXAvailabilityReason =
-  | 'store-unavailable'
-  | 'source-unavailable'
-  | 'channel-unavailable';
+export type CollectiveXAvailabilityReason = 'source-unavailable' | 'channel-unavailable';
 
 class CollectiveXDataError extends Error {
   readonly availabilityReason: CollectiveXAvailabilityReason | null;
@@ -159,8 +156,22 @@ function sameValue(left: unknown, right: unknown): boolean {
 const RECOMMENDATION_METRICS = {
   'min-p50-latency': ['latency_us', 'p50'],
   'min-p99-latency': ['latency_us', 'p99'],
-  'max-payload-rate-at-p50-latency': ['logical_payload_rate_gbps_at_latency_percentile', 'p50'],
-  'max-payload-rate-at-p99-latency': ['logical_payload_rate_gbps_at_latency_percentile', 'p99'],
+  'max-activation-data-rate-at-p50-latency': [
+    'activation_data_rate_gbps_at_latency_percentile',
+    'p50',
+  ],
+  'max-activation-data-rate-at-p99-latency': [
+    'activation_data_rate_gbps_at_latency_percentile',
+    'p99',
+  ],
+  'max-total-logical-data-rate-at-p50-latency': [
+    'total_logical_data_rate_gbps_at_latency_percentile',
+    'p50',
+  ],
+  'max-total-logical-data-rate-at-p99-latency': [
+    'total_logical_data_rate_gbps_at_latency_percentile',
+    'p99',
+  ],
 } as const;
 
 function closeEnough(left: number, right: number): boolean {
@@ -169,6 +180,18 @@ function closeEnough(left: number, right: number): boolean {
   );
 }
 
+function rankingMetricKey(cohortId: string, metric: CollectiveXMetric): string {
+  return [
+    cohortId,
+    metric.operation,
+    metric.phase,
+    metric.tokens_per_rank,
+    metric.measure,
+    metric.statistic,
+    metric.objective,
+  ].join('\0');
+}
+
 function metricValue(
   owner: CollectiveXSeries,
   metric: CollectiveXMetric,
@@ -180,7 +203,7 @@ function metricValue(
   if (metric.measure === 'latency_us') {
     return { point, value: component.latency_us[metric.statistic], unit: 'us' };
   }
-  const value = component.logical_payload_rate_gbps_at_latency_percentile?.[metric.statistic];
+  const value = component[metric.measure]?.[metric.statistic];
   return value === null || value === undefined ? null : { point, value, unit: 'GB/s' };
 }
 
@@ -273,6 +296,20 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
   ) {
     throw new CollectiveXDataError('$.promotion.allocation_ids differs from retained attempts.');
   }
+  if (
+    !sameIds(
+      dataset.promotion.qualification_indices.map(String),
+      [
+        ...new Set(
+          dataset.attempts.filter((item) => item.selected).map((item) => item.qualification_index),
+        ),
+      ].map(String),
+    )
+  ) {
+    throw new CollectiveXDataError(
+      '$.promotion.qualification_indices differs from retained attempts.',
+    );
+  }
 
   for (const item of dataset.coverage) {
     const expectedAttempts = dataset.attempts
@@ -296,10 +333,41 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
       throw new CollectiveXDataError(`coverage ${item.case_id} has an invalid selected attempt.`);
     }
   }
+  const coveragePoints = dataset.coverage.flatMap((item) => item.points);
+  for (const item of dataset.coverage) {
+    for (const coveragePoint of item.points) {
+      if (coveragePoint.point_id === null || coveragePoint.series_id === null) continue;
+      const owner = points.get(coveragePoint.point_id);
+      if (
+        owner?.series.series_id !== coveragePoint.series_id ||
+        !owner.series.case_ids.includes(item.case_id) ||
+        owner.point.tokens_per_rank !== coveragePoint.tokens_per_rank ||
+        owner.point.global_tokens !== coveragePoint.global_tokens
+      ) {
+        throw new CollectiveXDataError(
+          `coverage ${item.case_id} has an invalid point catalog entry.`,
+        );
+      }
+    }
+  }
+  const measuredCases = dataset.coverage.filter((item) =>
+    item.points.every((point) => point.terminal_status === 'measured'),
+  ).length;
+  const unsupportedCases = dataset.coverage.filter((item) =>
+    item.points.every((point) => point.terminal_status === 'unsupported'),
+  ).length;
   if (
     dataset.promotion.requested_cases !== dataset.coverage.length ||
     dataset.promotion.terminal_cases !==
-      dataset.coverage.filter((item) => item.selected_attempt_id !== null).length
+      dataset.coverage.filter((item) => item.selected_attempt_id !== null).length ||
+    dataset.promotion.measured_cases !== measuredCases ||
+    dataset.promotion.unsupported_cases !== unsupportedCases ||
+    dataset.promotion.requested_points !== coveragePoints.length ||
+    dataset.promotion.terminal_points !== coveragePoints.length ||
+    dataset.promotion.measured_points !==
+      coveragePoints.filter((item) => item.terminal_status === 'measured').length ||
+    dataset.promotion.unsupported_points !==
+      coveragePoints.filter((item) => item.terminal_status === 'unsupported').length
   ) {
     throw new CollectiveXDataError('$.promotion coverage counters differ from coverage.');
   }
@@ -307,7 +375,11 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
   for (const item of dataset.series) {
     if (
       item.status !== (item.eligibility.decision_grade ? 'decision-grade' : 'diagnostic') ||
-      !sameIds(item.eligibility.allocation_ids, item.allocation_ids)
+      !sameIds(item.eligibility.allocation_ids, item.allocation_ids) ||
+      item.eligibility.correct !==
+        item.points.every(
+          (point) => point.correctness.semantic_pass && point.correctness.precision.passed,
+        )
     ) {
       throw new CollectiveXDataError(`series ${item.series_id} has inconsistent eligibility.`);
     }
@@ -320,6 +392,9 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
     const selected = dataset.attempts.filter(
       (attempt) => attempt.selected && attempt.series_id === item.series_id,
     );
+    const selectedQualificationIndices = [
+      ...new Set(selected.map((attempt) => attempt.qualification_index)),
+    ];
     if (
       !sameIds(
         item.case_ids,
@@ -328,6 +403,10 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
       !sameIds(
         item.allocation_ids,
         selected.map((attempt) => attempt.allocation_id),
+      ) ||
+      !sameIds(
+        item.measurement.qualification_indices.map(String),
+        selectedQualificationIndices.map(String),
       )
     ) {
       throw new CollectiveXDataError(
@@ -335,7 +414,10 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
       );
     }
     for (const point of item.points) {
-      const linkedEvidenceIds = selected.flatMap((attempt) =>
+      const pointAttempts = selected.filter((attempt) =>
+        attempt.evidence.some((evidence) => evidence.point_id === point.point_id),
+      );
+      const linkedEvidenceIds = pointAttempts.flatMap((attempt) =>
         attempt.evidence
           .filter((evidence) => evidence.point_id === point.point_id)
           .map((evidence) => evidence.evidence_id),
@@ -343,6 +425,53 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
       if (!sameIds(point.evidence_ids, linkedEvidenceIds)) {
         throw new CollectiveXDataError(`point ${point.point_id} has inconsistent evidence links.`);
       }
+      if (
+        !sameIds(
+          point.stability.qualification_indices.map(String),
+          pointAttempts.map((attempt) => String(attempt.qualification_index)),
+        )
+      ) {
+        throw new CollectiveXDataError(
+          `point ${point.point_id} has inconsistent qualification evidence.`,
+        );
+      }
+      if (
+        point.correctness.precision.profile_id !== item.workload.precision_profile ||
+        (point.correctness.semantic_pass && !point.correctness.precision.passed)
+      ) {
+        throw new CollectiveXDataError(
+          `point ${point.point_id} has inconsistent precision correctness.`,
+        );
+      }
+      for (const [name, component] of Object.entries(point.components)) {
+        if (component === null) continue;
+        const bytes = component.byte_provenance;
+        const derived = name === 'isolated_sum';
+        if (
+          bytes.total_logical_bytes !== bytes.activation_data_bytes + bytes.scale_bytes ||
+          (derived &&
+            (component.activation_data_rate_gbps_at_latency_percentile !== null ||
+              component.total_logical_data_rate_gbps_at_latency_percentile !== null)) ||
+          (!derived &&
+            (component.activation_data_rate_gbps_at_latency_percentile === null ||
+              component.total_logical_data_rate_gbps_at_latency_percentile === null))
+        ) {
+          throw new CollectiveXDataError(
+            `point ${point.point_id} has inconsistent ${name} byte accounting.`,
+          );
+        }
+      }
+    }
+    if (
+      item.eligibility.decision_grade &&
+      !sameIds(
+        selectedQualificationIndices.map(String),
+        dataset.promotion.qualification_indices.map(String),
+      )
+    ) {
+      throw new CollectiveXDataError(
+        `series ${item.series_id} lacks the required qualification indices.`,
+      );
     }
   }
 
@@ -367,6 +496,34 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
     string,
     CollectiveXDataset['rankings'][number]['entries'][number]
   >();
+  const expectedRankingMetrics = new Set<string>();
+  for (const cohort of dataset.cohorts) {
+    if (!cohort.eligibility.decision_grade || cohort.kind === 'precision-pair') continue;
+    const members = cohort.series_ids.map((id) => series.get(id)!);
+    const commonTokens = members
+      .map((item) => new Set(item.points.map((point) => point.tokens_per_rank)))
+      .reduce((left, right) => new Set([...left].filter((token) => right.has(token))));
+    for (const tokens of commonTokens) {
+      for (const measure of [
+        'latency_us',
+        'activation_data_rate_gbps_at_latency_percentile',
+        'total_logical_data_rate_gbps_at_latency_percentile',
+      ] as const) {
+        for (const statistic of ['p50', 'p99'] as const) {
+          expectedRankingMetrics.add(
+            rankingMetricKey(cohort.cohort_id, {
+              operation: 'roundtrip',
+              phase: members[0].phase,
+              tokens_per_rank: tokens,
+              measure,
+              statistic,
+              objective: measure === 'latency_us' ? 'min' : 'max',
+            }),
+          );
+        }
+      }
+    }
+  }
   const rankingMetrics = new Set<string>();
   for (const ranking of dataset.rankings) {
     const cohort = cohorts.get(ranking.cohort_id);
@@ -385,26 +542,23 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
     }
     const expectedObjective = ranking.metric.measure === 'latency_us' ? 'min' : 'max';
     const expectedUnit = ranking.metric.measure === 'latency_us' ? 'us' : 'GB/s';
+    const p99Latency =
+      ranking.metric.measure === 'latency_us' && ranking.metric.statistic === 'p99';
     if (
       ranking.publication_tier !== cohort.publication_tier ||
+      cohort.kind === 'precision-pair' ||
       !cohort.eligibility.decision_grade ||
       !sameValue(ranking.eligibility, cohort.eligibility) ||
       ranking.metric.objective !== expectedObjective ||
       ranking.entries.some(
-        (entry, index) => entry.rank !== index + 1 || entry.unit !== expectedUnit,
+        (entry, index) =>
+          entry.unit !== expectedUnit ||
+          (p99Latency ? entry.rank !== 1 && entry.rank !== index + 1 : entry.rank !== index + 1),
       )
     ) {
       throw new CollectiveXDataError(`ranking ${ranking.ranking_id} has invalid metric metadata.`);
     }
-    const metricKey = [
-      ranking.cohort_id,
-      ranking.metric.operation,
-      ranking.metric.phase,
-      ranking.metric.tokens_per_rank,
-      ranking.metric.measure,
-      ranking.metric.statistic,
-      ranking.metric.objective,
-    ].join('\0');
+    const metricKey = rankingMetricKey(ranking.cohort_id, ranking.metric);
     if (rankingMetrics.has(metricKey)) {
       throw new CollectiveXDataError(`ranking ${ranking.ranking_id} duplicates a decision metric.`);
     }
@@ -427,17 +581,63 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
         );
       }
     }
-    const declaredWinner = ranking.entries[0];
-    const winnerKey = [
-      ranking.cohort_id,
-      ranking.metric.measure,
-      ranking.metric.statistic,
-      declaredWinner.point_id,
-    ].join('\0');
-    declaredRankingLeaders.set(winnerKey, declaredWinner);
+    const expectedEntries = ranking.entries.toSorted((left, right) => {
+      const valueOrder = left.value - right.value;
+      if (valueOrder !== 0) {
+        return ranking.metric.objective === 'min' ? valueOrder : -valueOrder;
+      }
+      return ranking.metric.objective === 'min'
+        ? left.series_id.localeCompare(right.series_id)
+        : right.series_id.localeCompare(left.series_id);
+    });
+    const tiedFirst = p99Latency ? ranking.entries.filter((entry) => entry.rank === 1).length : 0;
+    const expectedRanks = p99Latency
+      ? ranking.entries.map((_, index) => (index < tiedFirst ? 1 : index + 1))
+      : ranking.entries.map((_, index) => index + 1);
+    if (
+      !sameValue(ranking.entries, expectedEntries) ||
+      !sameValue(
+        ranking.entries.map((entry) => entry.rank),
+        expectedRanks,
+      )
+    ) {
+      throw new CollectiveXDataError(`ranking ${ranking.ranking_id} has invalid ordering.`);
+    }
+    const rankOne = ranking.entries.filter((entry) => entry.rank === 1);
+    if (rankOne.length === 1) {
+      const declaredWinner = rankOne[0];
+      const winnerKey = [
+        ranking.cohort_id,
+        ranking.metric.measure,
+        ranking.metric.statistic,
+        declaredWinner.point_id,
+      ].join('\0');
+      declaredRankingLeaders.set(winnerKey, declaredWinner);
+    }
+  }
+  if (!sameIds([...rankingMetrics], expectedRankingMetrics)) {
+    throw new CollectiveXDataError('rankings do not cover every eligible cohort metric.');
   }
 
   const recommendationKeys = new Set<string>();
+  const expectedRecommendationKeys = new Set<string>();
+  for (const ranking of dataset.rankings) {
+    const cohort = cohorts.get(ranking.cohort_id)!;
+    const rankOne = ranking.entries.filter((entry) => entry.rank === 1);
+    if (
+      cohort.publication_tier === 'official' &&
+      !['routing', 'dispatch-precision', 'combine-precision', 'precision-pair'].includes(
+        cohort.kind,
+      ) &&
+      ranking.metric.measure === 'latency_us' &&
+      ranking.metric.statistic === 'p99' &&
+      rankOne.length === 1
+    ) {
+      expectedRecommendationKeys.add(
+        [ranking.cohort_id, 'min-p99-latency', rankOne[0].point_id].join('\0'),
+      );
+    }
+  }
   for (const recommendation of dataset.recommendations) {
     const cohort = cohorts.get(recommendation.cohort_id);
     const [measure, statistic] = RECOMMENDATION_METRICS[recommendation.objective];
@@ -451,8 +651,11 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
     ].join('\0');
     if (
       recommendationKeys.has(recommendationKey) ||
+      recommendation.objective !== 'min-p99-latency' ||
       !cohort ||
-      cohort.kind === 'routing' ||
+      ['routing', 'dispatch-precision', 'combine-precision', 'precision-pair'].includes(
+        cohort.kind,
+      ) ||
       cohort.publication_tier !== 'official' ||
       !cohort.eligibility.decision_grade ||
       !sameValue(recommendation.eligibility, cohort.eligibility) ||
@@ -468,6 +671,9 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
     }
     recommendationKeys.add(recommendationKey);
   }
+  if (!sameIds([...recommendationKeys], expectedRecommendationKeys)) {
+    throw new CollectiveXDataError('recommendations do not cover every actionable ranking.');
+  }
 
   const sensitivityKeys = new Set<string>();
   for (const sensitivity of dataset.sensitivities) {
@@ -487,7 +693,7 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
     if (
       sensitivityKeys.has(sensitivityKey) ||
       !cohort ||
-      cohort.kind !== 'routing' ||
+      !['routing', 'dispatch-precision', 'combine-precision'].includes(cohort.kind) ||
       !cohort.eligibility.decision_grade ||
       sensitivity.publication_tier !== cohort.publication_tier ||
       !sameValue(sensitivity.eligibility, cohort.eligibility) ||
@@ -544,11 +750,7 @@ async function responseOrThrow(url: string, options: RequestInit, name: string):
   const response = await fetch(url, options);
   if (response.ok) return response;
   if (response.status === 503) {
-    const reason = response.headers.get('x-collectivex-status');
-    if (reason === 'source-unavailable') {
-      throw new CollectiveXDataError(reason, reason);
-    }
-    throw new CollectiveXDataError('store-unavailable', 'store-unavailable');
+    throw new CollectiveXDataError('source-unavailable', 'source-unavailable');
   }
   if (
     name === 'channel' &&
diff --git a/packages/app/src/components/collectivex/test-fixture.ts b/packages/app/src/components/collectivex/test-fixture.ts
index 69b1d47e5..653537c33 100644
--- a/packages/app/src/components/collectivex/test-fixture.ts
+++ b/packages/app/src/components/collectivex/test-fixture.ts
@@ -26,16 +26,17 @@ function fixtureId(
   return `cx${kind}-v1-${value.toString(16).padStart(64, '0')}`;
 }
 
-const allocations = [1, 2, 3].map((value) => fixtureId('allocation', value));
+const qualificationIndices = [1, 2, 3] as const;
+const allocations = qualificationIndices.map((value) => fixtureId('allocation', value));
 const decisionIds = {
   libraryCohort: fixtureId('cohort', 1),
   routingCohort: fixtureId('cohort', 2),
   chipCohort: fixtureId('cohort', 3),
   systemCohort: fixtureId('cohort', 4),
   diagnosticLibraryCohort: fixtureId('cohort', 5),
-  rankings: Array.from({ length: 16 }, (_, index) => fixtureId('ranking', index + 1)),
-  recommendations: Array.from({ length: 16 }, (_, index) => fixtureId('recommendation', index + 1)),
-  sensitivities: Array.from({ length: 8 }, (_, index) => fixtureId('sensitivity', index + 1)),
+  rankings: Array.from({ length: 24 }, (_, index) => fixtureId('ranking', index + 1)),
+  recommendations: Array.from({ length: 24 }, (_, index) => fixtureId('recommendation', index + 1)),
+  sensitivities: Array.from({ length: 12 }, (_, index) => fixtureId('sensitivity', index + 1)),
 } as const;
 
 function attemptId(caseIndex: number, allocationIndex: number, ordinal: number): string {
@@ -59,21 +60,57 @@ function makeEligibility(): CollectiveXEligibility {
 
 function component(base: number) {
   const latency = { p50: base, p90: base + 10, p95: base + 15, p99: base + 20 };
-  const logicalBytes = 1_048_576;
+  const activationBytes = 1_048_576;
+  const scaleBytes = 16_384;
+  const totalBytes = activationBytes + scaleBytes;
+  const rate = (bytes: number) => ({
+    p50: bytes / (latency.p50 * 1000),
+    p90: bytes / (latency.p90 * 1000),
+    p95: bytes / (latency.p95 * 1000),
+    p99: bytes / (latency.p99 * 1000),
+  });
   return {
     origin: 'measured' as const,
     latency_us: latency,
-    logical_bytes: logicalBytes,
-    logical_payload_rate_gbps_at_latency_percentile: {
-      p50: logicalBytes / (latency.p50 * 1000),
-      p90: logicalBytes / (latency.p90 * 1000),
-      p95: logicalBytes / (latency.p95 * 1000),
-      p99: logicalBytes / (latency.p99 * 1000),
+    byte_provenance: {
+      accounting_contract: 'activation-data-plus-scales-v1' as const,
+      activation_data_bytes: activationBytes,
+      scale_bytes: scaleBytes,
+      total_logical_bytes: totalBytes,
     },
+    activation_data_rate_gbps_at_latency_percentile: rate(activationBytes),
+    total_logical_data_rate_gbps_at_latency_percentile: rate(totalBytes),
     sample_count: 512,
   };
 }
 
+const bf16Precision = {
+  alignment_contract: 'native-bf16-vector-alignment',
+  api_input_dtype: 'bf16',
+  api_output_dtype: 'bf16',
+  communication_format: 'bf16',
+  conversion_boundary: 'none',
+  padding_contract: 'none',
+  quantization_origin: 'none',
+  scale_dtype: null,
+  scale_group_size: null,
+  scale_layout: 'none',
+} as const;
+
+function precisionEvidence() {
+  return {
+    dequantized_semantics: true,
+    encoded_payload_valid: true,
+    max_abs_error: 0,
+    max_rel_error: 0,
+    passed: true,
+    saturation_count: 0,
+    saturation_rate: 0,
+    scales_finite: null,
+    scales_positive: null,
+  };
+}
+
 function decisionMetricValue(
   item: CollectiveXSeries,
   metric: CollectiveXDataset['rankings'][number]['metric'],
@@ -81,13 +118,15 @@ function decisionMetricValue(
   const roundtrip = item.points[0].components.roundtrip!;
   return metric.measure === 'latency_us'
     ? roundtrip.latency_us[metric.statistic]
-    : roundtrip.logical_payload_rate_gbps_at_latency_percentile![metric.statistic];
+    : metric.measure === 'activation_data_rate_gbps_at_latency_percentile'
+      ? roundtrip.activation_data_rate_gbps_at_latency_percentile![metric.statistic]
+      : roundtrip.total_logical_data_rate_gbps_at_latency_percentile![metric.statistic];
 }
 
 function metricLabel(metric: CollectiveXMetric): string {
   return metric.measure === 'latency_us'
     ? `${metric.statistic} latency`
-    : `payload rate at ${metric.statistic} latency`;
+    : `${metric.measure === 'activation_data_rate_gbps_at_latency_percentile' ? 'activation' : 'total logical'} rate at ${metric.statistic} latency`;
 }
 
 function coverageTopology(series: CollectiveXSeries): CollectiveXCoverage['topology'] {
@@ -168,12 +207,17 @@ function makeSeries(
       experts: 256,
       routing: 'uniform',
       eplb: false,
-      dispatch_dtype: 'bf16',
-      combine_dtype: 'bf16',
-      activation_profile: 'canonical-counter-source-v3',
+      precision_profile: 'd-bf16.c-bf16',
+      dispatch_precision: { ...bf16Precision },
+      combine_precision: { ...bf16Precision },
+      activation_profile: 'canonical-counter-source-v4',
     },
     eplb: {
       enabled: false,
+      calibration_workload_id: null,
+      calibration_trace_sha256: null,
+      calibration_window: null,
+      calibration_token_offset: null,
       planner: null,
       mapping_sha256: null,
       logical_experts: 256,
@@ -186,16 +230,14 @@ function makeSeries(
       imbalance_after: null,
     },
     resource: {
-      mode: 'tuned',
+      mode: 'fixed-profile',
       profile: 'backend-default',
       comm_units_kind: 'sm',
       configured_units: 20,
     },
     measurement: {
       contract: lowLatency ? 'expert-packed-weighted-combine-v1' : 'layout-and-dispatch-v1',
-      component_order_contract: lowLatency
-        ? 'roundtrip-dispatch-gate-weighted-combine-v1'
-        : 'roundtrip-dispatch-activation-only-combine-v2',
+      component_order_contract: 'qualification-hash-rotated-components-v1',
       combine_semantics: lowLatency ? 'gate-weighted' : 'activation-only',
       payload_unit: lowLatency ? 'token-expert' : 'token-rank',
       sampling_contract: 'fixed-512-v1',
@@ -203,6 +245,7 @@ function makeSeries(
       trials: 64,
       warmups: 32,
       samples_per_component: 512,
+      qualification_indices: [1, 2, 3],
       headline_component: 'roundtrip',
       headline_percentile: 'p99',
     },
@@ -211,7 +254,67 @@ function makeSeries(
         point_id: fixtureId('point', index),
         tokens_per_rank: 128,
         global_tokens: globalTokens,
-        correct: true,
+        anomalies: [],
+        correctness: {
+          semantic_pass: true,
+          precision: {
+            dispatch: precisionEvidence(),
+            combine: precisionEvidence(),
+            passed: true,
+            profile_id: 'd-bf16.c-bf16',
+          },
+        },
+        stability: {
+          complete: true,
+          qualification_indices: [...qualificationIndices],
+          p50_max_min_ratio: 1.05,
+          p99_max_min_ratio: 1.1,
+          stable_p50: true,
+          stable_p99: true,
+        },
+        trial_diagnostics: {
+          flagged: false,
+          reasons: [],
+          components: {
+            dispatch:
+              index === 1
+                ? {
+                    drift_flagged: false,
+                    first_last_median_ratio: 1.02,
+                    outlier_flagged: false,
+                    robust_outlier_fraction: 0,
+                    trial_count: 192 as const,
+                  }
+                : null,
+            stage:
+              index === 1
+                ? {
+                    drift_flagged: false,
+                    first_last_median_ratio: 1.01,
+                    outlier_flagged: false,
+                    robust_outlier_fraction: 0,
+                    trial_count: 192 as const,
+                  }
+                : null,
+            combine:
+              index === 1
+                ? {
+                    drift_flagged: false,
+                    first_last_median_ratio: 1.03,
+                    outlier_flagged: false,
+                    robust_outlier_fraction: 0,
+                    trial_count: 192 as const,
+                  }
+                : null,
+            roundtrip: {
+              drift_flagged: false,
+              first_last_median_ratio: 1.04,
+              outlier_flagged: false,
+              robust_outlier_fraction: 0,
+              trial_count: 192 as const,
+            },
+          },
+        },
         routing: {
           fanout_mean: 5.25,
           recv_tokens_max: 740,
@@ -224,6 +327,7 @@ function makeSeries(
         },
         components: {
           dispatch: index === 1 ? component(30) : null,
+          stage: index === 1 ? component(20) : null,
           combine: index === 1 ? component(40) : null,
           roundtrip,
           isolated_sum:
@@ -231,8 +335,14 @@ function makeSeries(
               ? {
                   origin: 'derived',
                   latency_us: { p50: 70, p90: 90, p95: 100, p99: 110 },
-                  logical_bytes: null,
-                  logical_payload_rate_gbps_at_latency_percentile: null,
+                  byte_provenance: {
+                    accounting_contract: 'activation-data-plus-scales-v1',
+                    activation_data_bytes: 0,
+                    scale_bytes: 0,
+                    total_logical_bytes: 0,
+                  },
+                  activation_data_rate_gbps_at_latency_percentile: null,
+                  total_logical_data_rate_gbps_at_latency_percentile: null,
                   sample_count: null,
                 }
               : null,
@@ -263,6 +373,7 @@ function successfulAttempts(item: CollectiveXSeries, caseIndex: number): Collect
     allocation_id: allocationId,
     run_id: String(1000 + allocationIndex),
     run_attempt: 1,
+    qualification_index: qualificationIndices[allocationIndex],
     attempt_index: 1,
     outcome: 'success',
     failure_mode: null,
@@ -284,10 +395,33 @@ function seriesCoverage(
     required: true,
     disposition: 'runnable',
     sku: item.system.sku,
+    suite: item.suite,
+    workload: item.model,
+    publication_tier: item.publication_tier,
     backend: item.backend.id,
+    backend_generation: item.backend.generation,
     mode: item.mode,
     phase: item.phase,
+    routing: item.workload.routing,
+    eplb: item.workload.eplb,
+    precision_profile: item.workload.precision_profile,
+    dispatch_precision: structuredClone(item.workload.dispatch_precision),
+    combine_precision: structuredClone(item.workload.combine_precision),
+    resource: {
+      mode: item.resource.mode,
+      profile: item.resource.profile,
+      comm_units_kind: item.resource.comm_units_kind,
+      configured_units: item.resource.configured_units,
+    },
     topology: coverageTopology(item),
+    points: item.points.map((point) => ({
+      point_id: point.point_id,
+      series_id: item.series_id,
+      tokens_per_rank: point.tokens_per_rank,
+      global_tokens: point.global_tokens,
+      terminal_status: 'measured' as const,
+      reason: null,
+    })),
     selected_attempt_id: selected?.attempt_id ?? null,
     outcome: selected?.outcome ?? 'invalid',
     failure_mode: selected?.failure_mode ?? null,
@@ -318,6 +452,10 @@ export function makeCollectiveXDataset(): CollectiveXDataset {
   routingEplbVariant.build.implementation_contract_sha256 = 'f'.repeat(64);
   routingEplbVariant.eplb = {
     enabled: true,
+    calibration_workload_id: fixtureId('work', 70),
+    calibration_trace_sha256: '7'.repeat(64),
+    calibration_window: 'collectivex-eplb-calibration-window-v1',
+    calibration_token_offset: 0,
     planner: 'greedy-rank-major-v1',
     mapping_sha256: 'f'.repeat(64),
     logical_experts: 256,
@@ -356,7 +494,11 @@ export function makeCollectiveXDataset(): CollectiveXDataset {
     routingEplbVariant,
   ];
   const metrics = (
-    ['latency_us', 'logical_payload_rate_gbps_at_latency_percentile'] as const
+    [
+      'latency_us',
+      'activation_data_rate_gbps_at_latency_percentile',
+      'total_logical_data_rate_gbps_at_latency_percentile',
+    ] as const
   ).flatMap((measure) =>
     (['p50', 'p99'] as const).map((statistic) => ({
       operation: 'roundtrip' as const,
@@ -377,6 +519,7 @@ export function makeCollectiveXDataset(): CollectiveXDataset {
       allocation_id: allocationId,
       run_id: String(1000 + allocationIndex),
       run_attempt: 1,
+      qualification_index: qualificationIndices[allocationIndex],
       attempt_index: 1,
       outcome: 'unsupported',
       failure_mode: 'capability',
@@ -433,7 +576,10 @@ export function makeCollectiveXDataset(): CollectiveXDataset {
         ranking,
       ): ranking is CollectiveXDataset['rankings'][number] & {
         publication_tier: 'official';
-      } => ranking.publication_tier === 'official',
+      } =>
+        ranking.publication_tier === 'official' &&
+        ranking.metric.measure === 'latency_us' &&
+        ranking.metric.statistic === 'p99',
     )
     .map((ranking) => {
       const idIndex = cohortIds.indexOf(ranking.cohort_id as (typeof cohortIds)[number]);
@@ -443,15 +589,11 @@ export function makeCollectiveXDataset(): CollectiveXDataset {
           metric.statistic === ranking.metric.statistic,
       );
       const top = ranking.entries[0];
-      const objective: CollectiveXDataset['recommendations'][number]['objective'] =
-        ranking.metric.measure === 'latency_us'
-          ? `min-${ranking.metric.statistic}-latency`
-          : `max-payload-rate-at-${ranking.metric.statistic}-latency`;
       return {
         recommendation_id: decisionIds.recommendations[idIndex * metrics.length + metricIndex],
         cohort_id: ranking.cohort_id,
         label: `Best ${metricLabel(ranking.metric)} at T=128`,
-        objective,
+        objective: 'min-p99-latency' as const,
         publication_tier: ranking.publication_tier,
         series_id: top.series_id,
         point_id: top.point_id,
@@ -491,9 +633,24 @@ export function makeCollectiveXDataset(): CollectiveXDataset {
     required: true,
     disposition: 'unsupported',
     sku: 'mi355x',
+    suite: 'ep-core-v1',
+    workload: 'deepseek-v3-v1',
+    publication_tier: 'official',
     backend: 'deepep',
+    backend_generation: 'v1',
     mode: 'normal',
     phase: 'decode',
+    routing: 'uniform',
+    eplb: false,
+    precision_profile: 'd-bf16.c-bf16',
+    dispatch_precision: { ...bf16Precision },
+    combine_precision: { ...bf16Precision },
+    resource: {
+      mode: 'fixed-profile',
+      profile: null,
+      comm_units_kind: null,
+      configured_units: null,
+    },
     topology: {
       ep_size: 16,
       nodes: 2,
@@ -505,6 +662,16 @@ export function makeCollectiveXDataset(): CollectiveXDataset {
       transport: 'xgmi-rdma',
       topology_class: 'mi355x-xgmi-rdma',
     },
+    points: [
+      {
+        point_id: null,
+        series_id: null,
+        tokens_per_rank: 128,
+        global_tokens: 2048,
+        terminal_status: 'unsupported',
+        reason: 'backend-platform-unsupported',
+      },
+    ],
     selected_attempt_id: unsupportedAttempts.at(-1)!.attempt_id,
     outcome: 'unsupported',
     failure_mode: 'capability',
@@ -524,8 +691,15 @@ export function makeCollectiveXDataset(): CollectiveXDataset {
       matrix_id: '5'.repeat(64),
       allocation_ids: [...allocations],
       required_allocations: 3,
+      qualification_indices: [1, 2, 3],
       requested_cases: 8,
       terminal_cases: 8,
+      measured_cases: 7,
+      unsupported_cases: 1,
+      requested_points: 8,
+      terminal_points: 8,
+      measured_points: 7,
+      unsupported_points: 1,
       policy: 'collectivex-decision-grade-v1',
       reason: null,
     },
@@ -646,7 +820,7 @@ export function makeCollectiveXDatasetWithPrefillCohort(): CollectiveXDataset {
     const metric = { ...ranking.metric, tokens_per_rank: 512, phase: 'prefill' as const };
     return {
       ...structuredClone(ranking),
-      ranking_id: fixtureId('ranking', 20 + index),
+      ranking_id: fixtureId('ranking', 100 + index),
       cohort_id: prefillCohort.cohort_id,
       label: ranking.label.replace('T=128', 'T=512').replace('Library', 'Prefill library'),
       metric,
@@ -666,28 +840,33 @@ export function makeCollectiveXDatasetWithPrefillCohort(): CollectiveXDataset {
   });
   dataset.rankings.push(...prefillRankings);
   dataset.recommendations.push(
-    ...prefillRankings.map((ranking, index) => {
-      const top = ranking.entries[0];
-      return {
-        recommendation_id: fixtureId('recommendation', 20 + index),
-        cohort_id: prefillCohort.cohort_id,
-        label: `Best ${metricLabel(ranking.metric)} at T=512`,
-        objective:
-          ranking.metric.measure === 'latency_us'
-            ? (`min-${ranking.metric.statistic}-latency` as const)
-            : (`max-payload-rate-at-${ranking.metric.statistic}-latency` as const),
-        publication_tier: 'official' as const,
-        series_id: top.series_id,
-        point_id: top.point_id,
-        value: top.value,
-        unit: top.unit,
-        rationale: 'Top stable measured roundtrip result in a controlled cohort',
-        eligibility: makeEligibility(),
-      };
-    }),
+    ...prefillRankings
+      .filter(
+        (ranking) => ranking.metric.measure === 'latency_us' && ranking.metric.statistic === 'p99',
+      )
+      .map((ranking, index) => {
+        const top = ranking.entries[0];
+        return {
+          recommendation_id: fixtureId('recommendation', 100 + index),
+          cohort_id: prefillCohort.cohort_id,
+          label: `Best ${metricLabel(ranking.metric)} at T=512`,
+          objective: 'min-p99-latency' as const,
+          publication_tier: 'official' as const,
+          series_id: top.series_id,
+          point_id: top.point_id,
+          value: top.value,
+          unit: top.unit,
+          rationale: 'Top stable measured roundtrip result in a controlled cohort',
+          eligibility: makeEligibility(),
+        };
+      }),
   );
   dataset.promotion.requested_cases += prefill.length;
   dataset.promotion.terminal_cases += prefill.length;
+  dataset.promotion.measured_cases += prefill.length;
+  dataset.promotion.requested_points += prefill.length;
+  dataset.promotion.terminal_points += prefill.length;
+  dataset.promotion.measured_points += prefill.length;
   return dataset;
 }
 
@@ -700,6 +879,10 @@ export function makeCollectiveXContractDataset(): CollectiveXDataset {
   dataset.coverage.push(seriesCoverage(series, attempts));
   dataset.promotion.requested_cases += 1;
   dataset.promotion.terminal_cases += 1;
+  dataset.promotion.measured_cases += 1;
+  dataset.promotion.requested_points += 1;
+  dataset.promotion.terminal_points += 1;
+  dataset.promotion.measured_points += 1;
   return dataset;
 }
 
@@ -711,6 +894,15 @@ export function makeCollectiveXDiagnosticDataset(): CollectiveXDataset {
   const evidenceId = series.points[0].evidence_ids[0];
   series.allocation_ids = [allocationId];
   series.points[0].evidence_ids = [evidenceId];
+  series.points[0].stability = {
+    complete: false,
+    qualification_indices: [1],
+    p50_max_min_ratio: null,
+    p99_max_min_ratio: null,
+    stable_p50: false,
+    stable_p99: false,
+  };
+  series.measurement.qualification_indices = [1];
   series.eligibility = {
     decision_grade: false,
     allocation_ids: [allocationId],
@@ -736,6 +928,7 @@ export function makeCollectiveXDiagnosticDataset(): CollectiveXDataset {
     allocation_id: attempt.allocation_id,
     run_id: attempt.run_id,
     run_attempt: attempt.run_attempt,
+    qualification_index: attempt.qualification_index,
     attempt_index: 1,
     outcome: 'failed',
     failure_mode: 'timeout',
@@ -751,8 +944,15 @@ export function makeCollectiveXDiagnosticDataset(): CollectiveXDataset {
     ...dataset.promotion,
     status: 'diagnostic',
     allocation_ids: [allocationId],
+    qualification_indices: [1],
     requested_cases: 1,
     terminal_cases: 1,
+    measured_cases: 1,
+    unsupported_cases: 0,
+    requested_points: 1,
+    terminal_points: 1,
+    measured_points: 1,
+    unsupported_points: 0,
   };
   dataset.source_bundle_ids = [dataset.source_bundle_ids[0]];
   dataset.coverage = [coverage];
@@ -785,3 +985,71 @@ export function makeCollectiveXDatasetWithDiagnosticCohort(): CollectiveXDataset
   dataset.cohorts.sort((left, right) => left.cohort_id.localeCompare(right.cohort_id));
   return dataset;
 }
+
+export function makeCollectiveXDatasetWithPrecisionCohorts(): CollectiveXDataset {
+  const dataset = makeCollectiveXDataset();
+  const routing = dataset.cohorts.find((item) => item.kind === 'routing')!;
+  const routingRankings = dataset.rankings.filter((item) => item.cohort_id === routing.cohort_id);
+  const routingSensitivity = dataset.sensitivities.find(
+    (item) => item.cohort_id === routing.cohort_id,
+  )!;
+  const kinds = ['dispatch-precision', 'combine-precision', 'precision-pair'] as const;
+  for (const [index, kind] of kinds.entries()) {
+    const cohortId = fixtureId('cohort', 100 + index);
+    dataset.cohorts.push({
+      ...structuredClone(routing),
+      cohort_id: cohortId,
+      kind,
+      label: `${kind} / normal / fixture comparison`,
+      description: `Publisher-declared ${kind} comparison`,
+      controlled_factors:
+        kind === 'dispatch-precision'
+          ? ['system', 'combine-precision']
+          : kind === 'combine-precision'
+            ? ['system', 'dispatch-precision']
+            : ['system'],
+      varying_factors:
+        kind === 'precision-pair'
+          ? ['dispatch-precision', 'combine-precision', 'precision-profile']
+          : [kind],
+    });
+    if (kind !== 'precision-pair') {
+      dataset.rankings.push(
+        ...routingRankings.map((ranking, rankingIndex) => ({
+          ...structuredClone(ranking),
+          ranking_id: fixtureId('ranking', 200 + index * 10 + rankingIndex),
+          cohort_id: cohortId,
+          label: `${kind} publisher ranking`,
+        })),
+      );
+      dataset.sensitivities.push({
+        ...structuredClone(routingSensitivity),
+        sensitivity_id: fixtureId('sensitivity', 100 + index),
+        cohort_id: cohortId,
+        label: `${kind} publisher sensitivity`,
+      });
+    }
+  }
+  return dataset;
+}
+
+export function makeCollectiveXInventoryDataset(): CollectiveXDataset {
+  const dataset = makeCollectiveXDataset();
+  const unsupported = dataset.coverage.find((item) => item.disposition === 'unsupported');
+  if (!unsupported) throw new Error('Inventory fixture requires an unsupported case');
+  unsupported.label = unsupported.label.replace('BF16', 'FP8 dispatch');
+  unsupported.precision_profile = 'd-fp8-e4m3fn-b128-f32-prequantized.c-bf16';
+  unsupported.dispatch_precision = {
+    alignment_contract: 'hidden-block-128',
+    api_input_dtype: 'fp8-e4m3fn-with-f32-scale',
+    api_output_dtype: 'fp8-e4m3fn-with-f32-scale',
+    communication_format: 'fp8-e4m3fn',
+    conversion_boundary: 'before-dispatch-timing',
+    padding_contract: 'right-zero-pad-hidden-to-128',
+    quantization_origin: 'caller-prequantized',
+    scale_dtype: 'f32',
+    scale_group_size: 128,
+    scale_layout: 'per-token-hidden-block',
+  };
+  return dataset;
+}
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
index 8c3bdfa02..22623100f 100644
--- a/packages/app/src/components/collectivex/types.ts
+++ b/packages/app/src/components/collectivex/types.ts
@@ -5,10 +5,14 @@ export const COLLECTIVEX_VERSIONS = ['v1'] as const;
 export type CollectiveXVersion = (typeof COLLECTIVEX_VERSIONS)[number];
 export type CollectiveXMode = 'normal' | 'low-latency';
 export type CollectiveXTopologyScope = 'scale-up' | 'scale-out';
-export type CollectiveXOperation = 'dispatch' | 'combine' | 'roundtrip' | 'isolated-sum';
+export type CollectiveXOperation = 'dispatch' | 'stage' | 'combine' | 'roundtrip' | 'isolated-sum';
 export type CollectiveXPercentile = 'p50' | 'p90' | 'p95' | 'p99';
 export type CollectiveXXAxis = 'tokens-per-rank' | 'global-tokens';
-export type CollectiveXYAxis = 'latency' | 'tokens-per-second' | 'payload-rate';
+export type CollectiveXYAxis =
+  | 'latency'
+  | 'tokens-per-second'
+  | 'activation-rate'
+  | 'total-logical-rate';
 export type CollectiveXScale = 'log' | 'linear';
 
 const hex64 = z.string().regex(/^[a-f0-9]{64}$/);
@@ -19,11 +23,11 @@ const safeId = z
   .max(128)
   .regex(/^[a-z0-9][a-z0-9_.-]*$/);
 const label = z.string().min(1).max(160);
-const reason = z
+const reasonId = z
   .string()
   .max(96)
-  .regex(/^[a-z0-9][a-z0-9.-]*$/)
-  .nullable();
+  .regex(/^[a-z0-9][a-z0-9.-]*$/);
+const reason = reasonId.nullable();
 const timestamp = z.iso.datetime({ offset: true });
 const positiveInteger = z.number().int().safe().positive();
 const nonnegativeInteger = z.number().int().safe().nonnegative();
@@ -32,10 +36,26 @@ const mode = z.enum(['normal', 'low-latency']);
 const topologyScope = z.enum(['scale-up', 'scale-out']);
 const unique = <T>(schema: z.ZodType<T>) =>
   z.array(schema).refine((items) => new Set(items).size === items.length, 'duplicate values');
+const canonicalJson = (value: unknown): string =>
+  JSON.stringify(
+    value && typeof value === 'object' && !Array.isArray(value)
+      ? Object.fromEntries(
+          Object.entries(value)
+            .toSorted(([left], [right]) => left.localeCompare(right))
+            .map(([key, item]) => [key, JSON.parse(canonicalJson(item))]),
+        )
+      : Array.isArray(value)
+        ? value.map((item) => JSON.parse(canonicalJson(item)))
+        : value,
+  );
+const uniqueObjects = <T>(schema: z.ZodType<T>) =>
+  z
+    .array(schema)
+    .refine((items) => new Set(items.map(canonicalJson)).size === items.length, 'duplicate values');
 
 export const collectiveXChannelSchema = z.strictObject({
   format: z.literal('collectivex.channel.v1'),
-  channel: z.enum(['latest-attempt', 'dev-latest']),
+  channel: z.literal('dev-latest'),
   generated_at: timestamp,
   dataset: z.strictObject({
     path: z.string().regex(/^datasets\/[a-f0-9]{64}\/dataset\.json$/),
@@ -50,13 +70,77 @@ const percentilesSchema = z.strictObject({
   p95: z.number().finite().positive(),
   p99: z.number().finite().positive(),
 });
-const componentSchema = z.strictObject({
-  origin: z.enum(['measured', 'derived']),
-  latency_us: percentilesSchema,
-  logical_bytes: positiveInteger.nullable(),
-  logical_payload_rate_gbps_at_latency_percentile: percentilesSchema.nullable(),
-  sample_count: positiveInteger.nullable(),
+const communicationAxisSchema = z.strictObject({
+  alignment_contract: z.enum([
+    'native-bf16-vector-alignment',
+    'hidden-block-128',
+    'native-fp8-vector-alignment',
+    'value-block-64',
+  ]),
+  api_input_dtype: z.enum(['bf16', 'fp8-e4m3fn-with-f32-scale', 'fp8-e4m3fnuz-with-f32-scale']),
+  api_output_dtype: z.enum(['bf16', 'fp8-e4m3fn-with-f32-scale', 'fp8-e4m3fnuz-with-f32-scale']),
+  communication_format: z.enum(['bf16', 'fp8-e4m3fn', 'fp8-e4m3fnuz', 'logfmt10']),
+  conversion_boundary: z.enum([
+    'none',
+    'before-dispatch-timing',
+    'inside-dispatch-timing',
+    'inside-combine-timing',
+  ]),
+  padding_contract: z.enum(['none', 'right-zero-pad-hidden-to-128', 'right-zero-pad-values-to-64']),
+  quantization_origin: z.enum([
+    'none',
+    'caller-prequantized',
+    'backend-fused',
+    'backend-internal',
+    'backend-internal-direct-cast',
+  ]),
+  scale_dtype: z.enum(['f32', 'implicit-logfmt10']).nullable(),
+  scale_group_size: z.union([z.literal(64), z.literal(128)]).nullable(),
+  scale_layout: z.enum(['none', 'per-token-hidden-block', 'dynamic-per-64-values']),
 });
+const precisionProfileSchema = z.enum([
+  'd-bf16.c-bf16',
+  'd-fp8-e4m3fn-b128-f32-prequantized.c-bf16',
+  'd-fp8-e4m3fnuz-b128-f32-prequantized.c-bf16',
+  'd-fp8-e4m3fn-b128-f32-fused.c-bf16',
+  'd-bf16.c-logfmt10-dynamic64',
+  'd-fp8-e4m3fn-b128-f32-fused.c-logfmt10-dynamic64',
+  'd-bf16.c-fp8-e4m3fn-direct-cast-noscale',
+  'd-fp8-e4m3fn-b128-f32-prequantized.c-fp8-e4m3fn-direct-cast-noscale',
+  'd-bf16.c-fp8-e4m3fnuz-direct-cast-noscale',
+  'd-fp8-e4m3fnuz-b128-f32-prequantized.c-fp8-e4m3fnuz-direct-cast-noscale',
+]);
+const byteAccountingSchema = z.strictObject({
+  accounting_contract: z.literal('activation-data-plus-scales-v1'),
+  activation_data_bytes: nonnegativeInteger,
+  scale_bytes: nonnegativeInteger,
+  total_logical_bytes: nonnegativeInteger,
+});
+const componentSchema = z
+  .strictObject({
+    origin: z.enum(['measured', 'derived']),
+    latency_us: percentilesSchema,
+    byte_provenance: byteAccountingSchema,
+    activation_data_rate_gbps_at_latency_percentile: percentilesSchema.nullable(),
+    total_logical_data_rate_gbps_at_latency_percentile: percentilesSchema.nullable(),
+    sample_count: positiveInteger.nullable(),
+  })
+  .superRefine((value, context) => {
+    if (value.origin === 'measured' && value.sample_count !== 512) {
+      context.addIssue({
+        code: 'custom',
+        path: ['sample_count'],
+        message: 'measured components require exactly 512 samples',
+      });
+    }
+    if (value.origin === 'derived' && value.sample_count !== null) {
+      context.addIssue({
+        code: 'custom',
+        path: ['sample_count'],
+        message: 'derived components require a null sample count',
+      });
+    }
+  });
 const routingEvidenceSchema = z.strictObject({
   fanout_mean: z.number().finite().nonnegative(),
   recv_tokens_max: nonnegativeInteger,
@@ -67,6 +151,85 @@ const routingEvidenceSchema = z.strictObject({
   empty_rank_count: nonnegativeInteger,
   routed_copies: positiveInteger,
 });
+const precisionAxisEvidenceSchema = z.strictObject({
+  dequantized_semantics: z.boolean(),
+  encoded_payload_valid: z.boolean(),
+  max_abs_error: z.number().finite().nonnegative(),
+  max_rel_error: z.number().finite().nonnegative(),
+  passed: z.boolean(),
+  saturation_count: nonnegativeInteger,
+  saturation_rate: z.number().finite().min(0).max(1),
+  scales_finite: z.boolean().nullable(),
+  scales_positive: z.boolean().nullable(),
+});
+const pointCorrectnessSchema = z.strictObject({
+  semantic_pass: z.boolean(),
+  precision: z.strictObject({
+    combine: precisionAxisEvidenceSchema,
+    dispatch: precisionAxisEvidenceSchema,
+    passed: z.boolean(),
+    profile_id: precisionProfileSchema,
+  }),
+});
+const qualificationIndex = z.union([z.literal(1), z.literal(2), z.literal(3)]);
+const pointStabilitySchema = z
+  .strictObject({
+    complete: z.boolean(),
+    qualification_indices: unique(qualificationIndex).min(1).max(3),
+    p50_max_min_ratio: z.number().finite().min(1).nullable(),
+    p99_max_min_ratio: z.number().finite().min(1).nullable(),
+    stable_p50: z.boolean(),
+    stable_p99: z.boolean(),
+  })
+  .superRefine((value, context) => {
+    if (
+      value.complete &&
+      (value.qualification_indices.join(',') !== '1,2,3' ||
+        value.p50_max_min_ratio === null ||
+        value.p99_max_min_ratio === null)
+    ) {
+      context.addIssue({
+        code: 'custom',
+        path: ['qualification_indices'],
+        message: 'complete point stability requires Q1-Q3 and repeat ratios',
+      });
+    }
+    if (
+      !value.complete &&
+      (value.p50_max_min_ratio !== null ||
+        value.p99_max_min_ratio !== null ||
+        value.stable_p50 ||
+        value.stable_p99)
+    ) {
+      context.addIssue({
+        code: 'custom',
+        path: ['complete'],
+        message: 'incomplete point stability cannot claim stable repeat ratios',
+      });
+    }
+  });
+const trialDiagnosticComponentSchema = z.strictObject({
+  drift_flagged: z.boolean(),
+  first_last_median_ratio: z.number().finite().min(1),
+  outlier_flagged: z.boolean(),
+  robust_outlier_fraction: z.number().finite().min(0).max(1),
+  trial_count: z.literal(192),
+});
+const trialDiagnosticsSchema = z
+  .strictObject({
+    flagged: z.boolean(),
+    reasons: unique(z.enum(['trial-drift', 'trial-outliers'])).max(2),
+    components: z.strictObject({
+      dispatch: trialDiagnosticComponentSchema.nullable(),
+      stage: trialDiagnosticComponentSchema.nullable(),
+      combine: trialDiagnosticComponentSchema.nullable(),
+      roundtrip: trialDiagnosticComponentSchema.nullable(),
+    }),
+  })
+  .refine((value) => value.flagged === value.reasons.length > 0, {
+    path: ['reasons'],
+    message: 'trial diagnostic reasons must be present exactly when flagged',
+  });
 const eligibilitySchema = z
   .strictObject({
     decision_grade: z.boolean(),
@@ -101,16 +264,20 @@ const pointSchema = z.strictObject({
   point_id: typedId('point'),
   tokens_per_rank: positiveInteger,
   global_tokens: positiveInteger,
-  correct: z.boolean(),
+  anomalies: unique(reasonId).max(16),
+  correctness: pointCorrectnessSchema,
+  stability: pointStabilitySchema,
+  trial_diagnostics: trialDiagnosticsSchema,
   routing: routingEvidenceSchema,
   components: z.strictObject({
     dispatch: componentSchema.nullable(),
+    stage: componentSchema.nullable(),
     combine: componentSchema.nullable(),
     roundtrip: componentSchema.nullable(),
     isolated_sum: componentSchema.nullable(),
   }),
   roundtrip_token_rate_at_latency_percentile: percentilesSchema,
-  evidence_ids: unique(typedId('evidence')),
+  evidence_ids: unique(typedId('evidence')).min(1).max(3),
 });
 const seriesSchema = z.strictObject({
   series_id: typedId('series'),
@@ -162,35 +329,57 @@ const seriesSchema = z.strictObject({
     experts: positiveInteger,
     routing: z.enum(['uniform', 'zipf']),
     eplb: z.boolean(),
-    dispatch_dtype: z.literal('bf16'),
-    combine_dtype: z.literal('bf16'),
-    activation_profile: z.literal('canonical-counter-source-v3'),
-  }),
-  eplb: z.strictObject({
-    enabled: z.boolean(),
-    planner: label.nullable(),
-    mapping_sha256: hex64.nullable(),
-    logical_experts: positiveInteger,
-    physical_experts: positiveInteger,
-    redundant_experts: nonnegativeInteger,
-    reference_tokens_per_rank: positiveInteger.nullable(),
-    replicated_experts: nonnegativeInteger,
-    max_replicas: nonnegativeInteger.nullable(),
-    imbalance_before: z.number().finite().nonnegative().nullable(),
-    imbalance_after: z.number().finite().nonnegative().nullable(),
+    precision_profile: precisionProfileSchema,
+    dispatch_precision: communicationAxisSchema,
+    combine_precision: communicationAxisSchema,
+    activation_profile: z.literal('canonical-counter-source-v4'),
   }),
+  eplb: z
+    .strictObject({
+      enabled: z.boolean(),
+      calibration_workload_id: typedId('work').nullable(),
+      calibration_trace_sha256: hex64.nullable(),
+      calibration_window: z.literal('collectivex-eplb-calibration-window-v1').nullable(),
+      calibration_token_offset: nonnegativeInteger.nullable(),
+      planner: label.nullable(),
+      mapping_sha256: hex64.nullable(),
+      logical_experts: positiveInteger,
+      physical_experts: positiveInteger,
+      redundant_experts: nonnegativeInteger,
+      reference_tokens_per_rank: positiveInteger.nullable(),
+      replicated_experts: nonnegativeInteger,
+      max_replicas: nonnegativeInteger.nullable(),
+      imbalance_before: z.number().finite().nonnegative().nullable(),
+      imbalance_after: z.number().finite().nonnegative().nullable(),
+    })
+    .superRefine((value, context) => {
+      const calibration = [
+        value.calibration_workload_id,
+        value.calibration_trace_sha256,
+        value.calibration_window,
+        value.calibration_token_offset,
+      ];
+      if (
+        value.enabled
+          ? calibration.some((item) => item === null)
+          : calibration.some((item) => item !== null)
+      ) {
+        context.addIssue({
+          code: 'custom',
+          path: ['calibration_workload_id'],
+          message: 'EPLB calibration fields must be present exactly when EPLB is enabled',
+        });
+      }
+    }),
   resource: z.strictObject({
-    mode: z.literal('tuned'),
+    mode: z.literal('fixed-profile'),
     profile: safeId,
     comm_units_kind: label.nullable(),
     configured_units: positiveInteger.nullable(),
   }),
   measurement: z.strictObject({
     contract: z.enum(['layout-and-dispatch-v1', 'expert-packed-weighted-combine-v1']),
-    component_order_contract: z.enum([
-      'roundtrip-dispatch-activation-only-combine-v2',
-      'roundtrip-dispatch-gate-weighted-combine-v1',
-    ]),
+    component_order_contract: z.literal('qualification-hash-rotated-components-v1'),
     combine_semantics: z.enum(['activation-only', 'gate-weighted']),
     payload_unit: z.enum(['token-rank', 'token-expert']),
     sampling_contract: z.literal('fixed-512-v1'),
@@ -198,6 +387,7 @@ const seriesSchema = z.strictObject({
     trials: z.literal(64),
     warmups: z.literal(32),
     samples_per_component: z.literal(512),
+    qualification_indices: unique(qualificationIndex).min(1).max(3),
     headline_component: z.literal('roundtrip'),
     headline_percentile: z.literal('p99'),
   }),
@@ -205,16 +395,68 @@ const seriesSchema = z.strictObject({
   eligibility: eligibilitySchema,
 });
 const outcome = z.enum(['success', 'unsupported', 'failed', 'invalid', 'diagnostic']);
+const coverageResourceSchema = z.strictObject({
+  mode: z.literal('fixed-profile'),
+  profile: safeId.nullable(),
+  comm_units_kind: label.nullable(),
+  configured_units: positiveInteger.nullable(),
+});
+const terminalStatus = z.enum(['measured', 'unsupported', 'failed', 'invalid', 'diagnostic']);
+const coveragePointSchema = z
+  .strictObject({
+    point_id: typedId('point').nullable(),
+    series_id: typedId('series').nullable(),
+    tokens_per_rank: positiveInteger,
+    global_tokens: positiveInteger,
+    terminal_status: terminalStatus,
+    reason,
+  })
+  .superRefine((value, context) => {
+    if (
+      (value.terminal_status === 'measured' &&
+        (value.point_id === null || value.series_id === null)) ||
+      (value.terminal_status === 'unsupported' &&
+        (value.point_id !== null || value.series_id !== null))
+    ) {
+      context.addIssue({
+        code: 'custom',
+        path: ['point_id'],
+        message: `${value.terminal_status} point references are inconsistent`,
+      });
+    }
+    if (
+      (value.terminal_status === 'measured' && value.reason !== null) ||
+      (['unsupported', 'failed', 'invalid'].includes(value.terminal_status) &&
+        value.reason === null)
+    ) {
+      context.addIssue({
+        code: 'custom',
+        path: ['reason'],
+        message: `${value.terminal_status} point reason is inconsistent`,
+      });
+    }
+  });
 const coverageSchema = z.strictObject({
   case_id: typedId('case'),
   label,
   required: z.boolean(),
   disposition: z.enum(['runnable', 'unsupported']),
   sku: safeId,
+  suite: safeId,
+  workload: safeId,
+  publication_tier: publicationTier,
   backend: safeId,
+  backend_generation: label.nullable(),
   mode,
   phase: z.enum(['decode', 'prefill']),
+  routing: z.enum(['uniform', 'zipf']),
+  eplb: z.boolean(),
+  precision_profile: precisionProfileSchema,
+  dispatch_precision: communicationAxisSchema,
+  combine_precision: communicationAxisSchema,
+  resource: coverageResourceSchema,
   topology: coverageTopologySchema,
+  points: uniqueObjects(coveragePointSchema).min(1),
   selected_attempt_id: typedId('attempt').nullable(),
   outcome,
   failure_mode: reason,
@@ -239,6 +481,7 @@ const attemptSchema = z.strictObject({
   allocation_id: typedId('allocation'),
   run_id: z.string().regex(/^[1-9][0-9]*$/),
   run_attempt: positiveInteger,
+  qualification_index: qualificationIndex,
   attempt_index: positiveInteger,
   outcome,
   failure_mode: reason,
@@ -250,14 +493,26 @@ const attemptSchema = z.strictObject({
 const metricSchema = z.strictObject({
   operation: z.literal('roundtrip'),
   statistic: z.enum(['p50', 'p99']),
-  measure: z.enum(['latency_us', 'logical_payload_rate_gbps_at_latency_percentile']),
+  measure: z.enum([
+    'latency_us',
+    'activation_data_rate_gbps_at_latency_percentile',
+    'total_logical_data_rate_gbps_at_latency_percentile',
+  ]),
   objective: z.enum(['min', 'max']),
   tokens_per_rank: positiveInteger,
   phase: z.enum(['decode', 'prefill']),
 });
 const cohortSchema = z.strictObject({
   cohort_id: typedId('cohort'),
-  kind: z.enum(['library', 'chip', 'system', 'routing']),
+  kind: z.enum([
+    'library',
+    'chip',
+    'system',
+    'routing',
+    'dispatch-precision',
+    'combine-precision',
+    'precision-pair',
+  ]),
   label,
   description: label,
   publication_tier: publicationTier,
@@ -292,8 +547,10 @@ const recommendationSchema = z.strictObject({
   objective: z.enum([
     'min-p50-latency',
     'min-p99-latency',
-    'max-payload-rate-at-p50-latency',
-    'max-payload-rate-at-p99-latency',
+    'max-activation-data-rate-at-p50-latency',
+    'max-activation-data-rate-at-p99-latency',
+    'max-total-logical-data-rate-at-p50-latency',
+    'max-total-logical-data-rate-at-p99-latency',
   ]),
   publication_tier: z.literal('official'),
   series_id: typedId('series'),
@@ -326,8 +583,15 @@ export const collectiveXDatasetSchema = z.strictObject({
     matrix_id: hex64.nullable(),
     allocation_ids: unique(typedId('allocation')),
     required_allocations: z.literal(3),
+    qualification_indices: unique(qualificationIndex).max(3),
     requested_cases: nonnegativeInteger,
     terminal_cases: nonnegativeInteger,
+    measured_cases: nonnegativeInteger,
+    unsupported_cases: nonnegativeInteger,
+    requested_points: nonnegativeInteger,
+    terminal_points: nonnegativeInteger,
+    measured_points: nonnegativeInteger,
+    unsupported_points: nonnegativeInteger,
     policy: z.literal('collectivex-decision-grade-v1'),
   }),
   coverage: z.array(coverageSchema),
@@ -342,10 +606,16 @@ export const collectiveXDatasetSchema = z.strictObject({
 export type CollectiveXChannel = z.infer<typeof collectiveXChannelSchema>;
 export type CollectiveXDataset = z.infer<typeof collectiveXDatasetSchema>;
 export type CollectiveXComponent = z.infer<typeof componentSchema>;
+export type CollectiveXCommunicationAxis = z.infer<typeof communicationAxisSchema>;
+export type CollectiveXPrecisionProfile = z.infer<typeof precisionProfileSchema>;
 export type CollectiveXPoint = z.infer<typeof pointSchema>;
+export type CollectiveXPointCorrectness = z.infer<typeof pointCorrectnessSchema>;
+export type CollectiveXPointStability = z.infer<typeof pointStabilitySchema>;
 export type CollectiveXSeries = z.infer<typeof seriesSchema>;
 export type CollectiveXCoverage = z.infer<typeof coverageSchema>;
 export type CollectiveXCoverageTopology = z.infer<typeof coverageTopologySchema>;
+export type CollectiveXCoveragePoint = z.infer<typeof coveragePointSchema>;
+export type CollectiveXTerminalStatus = z.infer<typeof terminalStatus>;
 export type CollectiveXAttempt = z.infer<typeof attemptSchema>;
 export type CollectiveXEligibility = z.infer<typeof eligibilitySchema>;
 export type CollectiveXMetric = z.infer<typeof metricSchema>;
diff --git a/packages/app/src/lib/collectivex-github.test.ts b/packages/app/src/lib/collectivex-github.test.ts
index 3596ebf2f..e937d0f74 100644
--- a/packages/app/src/lib/collectivex-github.test.ts
+++ b/packages/app/src/lib/collectivex-github.test.ts
@@ -36,14 +36,17 @@ function installGithubResponses(archive: ReturnType<typeof publicationArchive>)
   mockFetch
     .mockResolvedValueOnce(
       jsonResponse({
+        total_count: 1,
         workflow_runs: [
           {
             id: 456,
-            name: 'CollectiveX Publish V1',
+            name: 'CollectiveX Sweep',
+            path: '.github/workflows/collectivex-sweep.yml',
             head_branch: 'collectivex',
             head_sha: 'a'.repeat(40),
             status: 'completed',
             conclusion: 'success',
+            run_attempt: 1,
           },
         ],
       }),
@@ -91,15 +94,123 @@ describe('CollectiveX GitHub publication loader', () => {
       artifactId: 123,
       digest: archive.digest,
       runId: 456,
+      runAttempt: 1,
       version: 'v1',
     });
     expect(Buffer.from(first.body)).toEqual(archive.body);
     expect(first.dataset.promotion.status).toBe('promoted');
     expect(second).toBe(first);
     expect(mockFetch).toHaveBeenCalledTimes(3);
-    expect(mockFetch.mock.calls[0][0]).toContain(
-      '/actions/workflows/collectivex-publish.yml/runs?',
-    );
+    expect(mockFetch.mock.calls[0][0]).toContain('/actions/workflows/collectivex-sweep.yml/runs?');
+  });
+
+  it('paginates workflow runs until it finds a publication operation', async () => {
+    const archive = publicationArchive();
+    const ordinaryRuns = Array.from({ length: 100 }, (_, index) => ({
+      id: 1000 - index,
+      name: 'CollectiveX Sweep',
+      path: '.github/workflows/collectivex-sweep.yml',
+      head_branch: 'collectivex',
+      head_sha: 'a'.repeat(40),
+      status: 'completed',
+      conclusion: 'failure',
+      run_attempt: 1,
+    }));
+    ordinaryRuns[0].conclusion = 'success';
+    mockFetch
+      .mockResolvedValueOnce(jsonResponse({ total_count: 101, workflow_runs: ordinaryRuns }))
+      .mockResolvedValueOnce(jsonResponse({ artifacts: [] }))
+      .mockResolvedValueOnce(
+        jsonResponse({
+          total_count: 101,
+          workflow_runs: [
+            {
+              id: 456,
+              name: 'CollectiveX Sweep',
+              path: '.github/workflows/collectivex-sweep.yml',
+              head_branch: 'collectivex',
+              head_sha: 'a'.repeat(40),
+              status: 'completed',
+              conclusion: 'success',
+              run_attempt: 1,
+            },
+          ],
+        }),
+      )
+      .mockResolvedValueOnce(
+        jsonResponse({
+          artifacts: [
+            {
+              id: 123,
+              name: 'cxpublication-v1-456-1',
+              archive_download_url: 'https://example.test/publication.zip',
+              expired: false,
+              size_in_bytes: archive.zip.byteLength,
+            },
+          ],
+        }),
+      )
+      .mockResolvedValueOnce(
+        new Response(archive.zip, {
+          headers: { 'Content-Length': String(archive.zip.byteLength) },
+        }),
+      );
+
+    await expect(loadCollectiveXPublication('v1')).resolves.toMatchObject({ runId: 456 });
+    expect(mockFetch.mock.calls[0][0]).toContain('page=1');
+    expect(mockFetch.mock.calls[2][0]).toContain('page=2');
+  });
+
+  it('selects only the artifact from the current run attempt', async () => {
+    const archive = publicationArchive();
+    mockFetch
+      .mockResolvedValueOnce(
+        jsonResponse({
+          total_count: 1,
+          workflow_runs: [
+            {
+              id: 456,
+              name: 'CollectiveX Sweep',
+              path: '.github/workflows/collectivex-sweep.yml',
+              head_branch: 'collectivex',
+              head_sha: 'a'.repeat(40),
+              status: 'completed',
+              conclusion: 'success',
+              run_attempt: 2,
+            },
+          ],
+        }),
+      )
+      .mockResolvedValueOnce(
+        jsonResponse({
+          artifacts: [
+            {
+              id: 122,
+              name: 'cxpublication-v1-456-1',
+              archive_download_url: 'https://example.test/stale.zip',
+              expired: false,
+            },
+            {
+              id: 123,
+              name: 'cxpublication-v1-456-2',
+              archive_download_url: 'https://example.test/publication.zip',
+              expired: false,
+              size_in_bytes: archive.zip.byteLength,
+            },
+          ],
+        }),
+      )
+      .mockResolvedValueOnce(
+        new Response(archive.zip, {
+          headers: { 'Content-Length': String(archive.zip.byteLength) },
+        }),
+      );
+
+    await expect(loadCollectiveXPublication('v1')).resolves.toMatchObject({
+      artifactId: 123,
+      runAttempt: 2,
+    });
+    expect(mockFetch).not.toHaveBeenCalledWith('https://example.test/stale.zip', expect.anything());
   });
 
   it('resolves an immutable digest from the publication cache', async () => {
diff --git a/packages/app/src/lib/collectivex-github.ts b/packages/app/src/lib/collectivex-github.ts
index 2cde39462..c60c5ceab 100644
--- a/packages/app/src/lib/collectivex-github.ts
+++ b/packages/app/src/lib/collectivex-github.ts
@@ -8,10 +8,13 @@ import { parseCollectiveXDatasetText } from '@/components/collectivex/reader';
 import type { CollectiveXDataset, CollectiveXVersion } from '@/components/collectivex/types';
 
 const BRANCH = 'collectivex';
-const PUBLICATION_POLICY: Record<CollectiveXVersion, { file: RegExp; workflowName: string }> = {
+const WORKFLOW_PATH = '.github/workflows/collectivex-sweep.yml';
+const WORKFLOW_FILE = 'collectivex-sweep.yml';
+const WORKFLOW_NAME = 'CollectiveX Sweep';
+const RUNS_PER_PAGE = 100;
+const PUBLICATION_POLICY: Record<CollectiveXVersion, { file: RegExp }> = {
   v1: {
     file: /^collectivex_public_v1_(?<digest>[a-f0-9]{64})\.ndjson$/,
-    workflowName: 'CollectiveX Publish V1',
   },
 };
 const MAX_PUBLICATION_BYTES = 32 * 1024 * 1024;
@@ -26,10 +29,12 @@ type PublicationErrorCode = 'invalid' | 'not-found' | 'unavailable';
 interface WorkflowRun {
   id: number;
   name: string;
+  path: string;
   head_branch: string | null;
   head_sha: string;
   status: string | null;
   conclusion: string | null;
+  run_attempt: number;
 }
 
 interface GithubArtifact {
@@ -51,6 +56,7 @@ export interface CollectiveXGithubPublication {
   dataset: CollectiveXDataset;
   digest: string;
   runId: number;
+  runAttempt: number;
   version: CollectiveXVersion;
 }
 
@@ -120,60 +126,86 @@ async function githubFetch(url: string, token: string): Promise<Response> {
   });
 }
 
-async function publicationCandidates(
+async function* publicationCandidates(
   version: CollectiveXVersion,
   token: string,
-): Promise<PublicationCandidate[]> {
-  const policy = PUBLICATION_POLICY[version];
-  const parameters = new URLSearchParams({
-    branch: BRANCH,
-    status: 'completed',
-    per_page: '20',
-  });
-  const runsResponse = await githubFetch(
-    `${GITHUB_API_BASE}/repos/${GITHUB_OWNER}/${GITHUB_REPO}/actions/workflows/collectivex-publish.yml/runs?${parameters}`,
-    token,
-  );
-  if (!runsResponse.ok) {
-    throw new CollectiveXPublicationError(
-      'unavailable',
-      `GitHub publication discovery failed (${runsResponse.status})`,
-    );
-  }
-  const runs =
-    ((await runsResponse.json()) as { workflow_runs?: WorkflowRun[] }).workflow_runs ?? [];
-  const candidates: PublicationCandidate[] = [];
-  for (const run of runs) {
-    if (
-      run.name !== policy.workflowName ||
-      run.head_branch !== BRANCH ||
-      run.status !== 'completed' ||
-      run.conclusion !== 'success' ||
-      !/^[a-f0-9]{40}$/.test(run.head_sha)
-    ) {
-      continue;
-    }
-    const artifactsResponse = await githubFetch(
-      `${GITHUB_API_BASE}/repos/${GITHUB_OWNER}/${GITHUB_REPO}/actions/runs/${run.id}/artifacts?per_page=100`,
+): AsyncGenerator<PublicationCandidate> {
+  let page = 1;
+  let visitedRuns = 0;
+  let totalRuns: number | null = null;
+
+  while (totalRuns === null || visitedRuns < totalRuns) {
+    const parameters = new URLSearchParams({
+      branch: BRANCH,
+      status: 'completed',
+      per_page: String(RUNS_PER_PAGE),
+      page: String(page),
+    });
+    const runsResponse = await githubFetch(
+      `${GITHUB_API_BASE}/repos/${GITHUB_OWNER}/${GITHUB_REPO}/actions/workflows/${WORKFLOW_FILE}/runs?${parameters}`,
       token,
     );
-    if (!artifactsResponse.ok) {
+    if (!runsResponse.ok) {
       throw new CollectiveXPublicationError(
         'unavailable',
-        `GitHub artifact discovery failed (${artifactsResponse.status})`,
+        `GitHub publication discovery failed (${runsResponse.status})`,
       );
     }
-    const artifacts = ((await artifactsResponse.json()) as { artifacts?: GithubArtifact[] })
-      .artifacts;
-    const matching = (artifacts ?? []).filter(
-      (artifact) => artifact.name.startsWith(`cxpublication-${version}-`) && !artifact.expired,
-    );
-    if (matching.length > 1) {
-      throw new CollectiveXPublicationError('invalid', 'publication run has duplicate artifacts');
+    const payload = (await runsResponse.json()) as {
+      total_count?: number;
+      workflow_runs?: WorkflowRun[];
+    };
+    const runs = payload.workflow_runs ?? [];
+    if (
+      totalRuns === null &&
+      Number.isSafeInteger(payload.total_count) &&
+      (payload.total_count ?? -1) >= 0
+    ) {
+      totalRuns = payload.total_count!;
     }
-    if (matching[0]) candidates.push({ artifact: matching[0], run });
+    if (runs.length === 0) break;
+    visitedRuns += runs.length;
+
+    for (const run of runs) {
+      if (
+        run.name !== WORKFLOW_NAME ||
+        run.path !== WORKFLOW_PATH ||
+        run.head_branch !== BRANCH ||
+        run.status !== 'completed' ||
+        run.conclusion !== 'success' ||
+        !Number.isSafeInteger(run.id) ||
+        run.id <= 0 ||
+        !Number.isSafeInteger(run.run_attempt) ||
+        run.run_attempt <= 0 ||
+        !/^[a-f0-9]{40}$/.test(run.head_sha)
+      ) {
+        continue;
+      }
+      const artifactsResponse = await githubFetch(
+        `${GITHUB_API_BASE}/repos/${GITHUB_OWNER}/${GITHUB_REPO}/actions/runs/${run.id}/artifacts?per_page=100`,
+        token,
+      );
+      if (!artifactsResponse.ok) {
+        throw new CollectiveXPublicationError(
+          'unavailable',
+          `GitHub artifact discovery failed (${artifactsResponse.status})`,
+        );
+      }
+      const artifacts = ((await artifactsResponse.json()) as { artifacts?: GithubArtifact[] })
+        .artifacts;
+      const expectedName = `cxpublication-${version}-${run.id}-${run.run_attempt}`;
+      const matching = (artifacts ?? []).filter(
+        (artifact) => artifact.name === expectedName && !artifact.expired,
+      );
+      if (matching.length > 1) {
+        throw new CollectiveXPublicationError('invalid', 'publication run has duplicate artifacts');
+      }
+      if (matching[0]) yield { artifact: matching[0], run };
+    }
+
+    if (runs.length < RUNS_PER_PAGE || (totalRuns !== null && visitedRuns >= totalRuns)) break;
+    page += 1;
   }
-  return candidates;
 }
 
 async function downloadPublication(
@@ -265,6 +297,7 @@ async function downloadPublication(
     dataset,
     digest,
     runId: candidate.run.id,
+    runAttempt: candidate.run.run_attempt,
     version,
   };
 }
@@ -277,11 +310,9 @@ async function fetchPublication(
   if (!token) {
     throw new CollectiveXPublicationError('unavailable', 'GITHUB_TOKEN is not configured');
   }
-  const candidates = await publicationCandidates(version, token);
-  if (candidates.length === 0) {
-    throw new CollectiveXPublicationError('not-found', 'no CollectiveX publication artifact');
-  }
-  for (const candidate of candidates) {
+  let foundCandidate = false;
+  for await (const candidate of publicationCandidates(version, token)) {
+    foundCandidate = true;
     const publication = await downloadPublication(version, candidate, token);
     digestCache.set(`${version}:${publication.digest}`, {
       expiresAt: Date.now() + DIGEST_TTL_MS,
@@ -289,6 +320,9 @@ async function fetchPublication(
     });
     if (!digest || publication.digest === digest) return publication;
   }
+  if (!foundCandidate) {
+    throw new CollectiveXPublicationError('not-found', 'no CollectiveX publication artifact');
+  }
   throw new CollectiveXPublicationError('not-found', 'CollectiveX publication digest not found');
 }
 

From 38fa973a5039694f6927ea586b67c48e5029a330 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Tue, 7 Jul 2026 01:18:27 +0800
Subject: [PATCH 03/37] feat(collectivex): publish eight-SKU v1 catalog

---
 .../src/components/collectivex/data.test.ts   | 19 ++++++++++---------
 .../collectivex/full-catalog.v1.json          |  2 +-
 2 files changed, 11 insertions(+), 10 deletions(-)

diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
index 247e00150..2813e5251 100644
--- a/packages/app/src/components/collectivex/data.test.ts
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -16,7 +16,7 @@ import {
 import { makeCollectiveXDataset } from './test-fixture';
 
 describe('CollectiveX EP projections', () => {
-  it('covers the complete frozen seven-SKU V1 matrix catalog', () => {
+  it('covers the complete frozen eight-SKU V1 matrix catalog', () => {
     const bytes = readFileSync(new URL('full-catalog.v1.json', import.meta.url));
     const catalog = JSON.parse(bytes.toString()) as {
       format: string;
@@ -35,20 +35,20 @@ describe('CollectiveX EP projections', () => {
     };
 
     expect(createHash('sha256').update(bytes).digest('hex')).toBe(
-      '86ac7bb3f9f6310385db52f6f77554d705985bd99e387ecb5fedd627c11994d7',
+      '821e8c2c822da33359fb1ff9aeeea7da689d412824e15cb4b13397fb718ccd25',
     );
     expect(catalog).toMatchObject({
       format: 'collectivex.frontend-catalog.v1',
       schema_version: 1,
-      matrix_sha256: 'c6988c5e81239ace699541322a88a37bfd80819d8bc1a2446f928665cd3ebba0',
-      case_count: 664,
-      point_count: 1532,
+      matrix_sha256: '5894bab58d3deb2bcee51baa075ca5f5d324b4292ac1cef9f6bc08a07ab1d9a3',
+      case_count: 748,
+      point_count: 1740,
     });
-    expect(new Set(catalog.cases.map(({ case_id }) => case_id)).size).toBe(664);
-    expect(catalog.cases.reduce((count, { points }) => count + points.length, 0)).toBe(1532);
-    expect(catalog.cases.filter(({ disposition }) => disposition === 'runnable')).toHaveLength(393);
+    expect(new Set(catalog.cases.map(({ case_id }) => case_id)).size).toBe(748);
+    expect(catalog.cases.reduce((count, { points }) => count + points.length, 0)).toBe(1740);
+    expect(catalog.cases.filter(({ disposition }) => disposition === 'runnable')).toHaveLength(387);
     expect(catalog.cases.filter(({ disposition }) => disposition === 'unsupported')).toHaveLength(
-      271,
+      361,
     );
     expect([...new Set(catalog.cases.map(({ sku }) => sku))].toSorted()).toEqual([
       'b200-dgxc',
@@ -57,6 +57,7 @@ describe('CollectiveX EP projections', () => {
       'gb300',
       'h100-dgxc',
       'h200-dgxc',
+      'mi300x',
       'mi355x',
     ]);
     expect(catalog.cases.some(({ sku }) => sku === 'mi325x')).toBe(false);
diff --git a/packages/app/src/components/collectivex/full-catalog.v1.json b/packages/app/src/components/collectivex/full-catalog.v1.json
index 0bbb515a3..bc492a124 100644
--- a/packages/app/src/components/collectivex/full-catalog.v1.json
+++ b/packages/app/src/components/collectivex/full-catalog.v1.json
@@ -1 +1 @@
-{"case_count":664,"cases":[{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-dc3957540eca33bff84d3fa31ba305c27ef8c7f0af2960230d168db562260fd6","disposition":"runnable","eplb":false,"label":"H100-DGXC / deepep / EP8 / normal / decode / uniform","mode":"normal","phase":"decode","points":[{"global_tokens":8,"tokens_per_rank":1},{"global_tokens":16,"tokens_per_rank":2},{"global_tokens":32,"tokens_per_rank":4},{"global_tokens":64,"tokens_per_rank":8},{"global_tokens":128,"tokens_per_rank":16},{"global_tokens":256,"tokens_per_rank":32},{"global_tokens":512,"tokens_per_rank":64},{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-bf16","publication_tier":"official","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"h100-dgxc","suite":"ep-core-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"h100-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"deepep-v2","backend_generation":null,"case_id":"cxcase-v1-818f3d4ae3f1fc7adc719a6f950dfc47fa55135c4ab5323be2a50bd725a2bd59","disposition":"unsupported","eplb":false,"label":"H100-DGXC / deepep-v2 / EP8 / normal / decode / uniform","mode":"normal","phase":"decode","points":[{"global_tokens":8,"tokens_per_rank":1},{"global_tokens":16,"tokens_per_rank":2},{"global_tokens":32,"tokens_per_rank":4},{"global_tokens":64,"tokens_per_rank":8},{"global_tokens":128,"tokens_per_rank":16},{"global_tokens":256,"tokens_per_rank":32},{"global_tokens":512,"tokens_per_rank":64},{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-bf16","publication_tier":"official","reason":"backend-platform-unsupported","required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"h100-dgxc","suite":"ep-core-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"h100-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"uccl","backend_generation":null,"case_id":"cxcase-v1-6898a817b7d7d270a0c0e4c4d58eb35e28e7620d85245b53d874c053dbd0aefc","disposition":"runnable","eplb":false,"label":"H100-DGXC / uccl / EP8 / normal / decode / uniform","mode":"normal","phase":"decode","points":[{"global_tokens":8,"tokens_per_rank":1},{"global_tokens":16,"tokens_per_rank":2},{"global_tokens":32,"tokens_per_rank":4},{"global_tokens":64,"tokens_per_rank":8},{"global_tokens":128,"tokens_per_rank":16},{"global_tokens":256,"tokens_per_rank":32},{"global_tokens":512,"tokens_per_rank":64},{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-bf16","publication_tier":"official","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"h100-dgxc","suite":"ep-core-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"h100-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"deepep-hybrid","backend_generation":null,"case_id":"cxcase-v1-2eb2e59b880fe5777b900bf05cbf112a02849e3b07122548071917cfdb46b37f","disposition":"runnable","eplb":false,"label":"H100-DGXC 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From da92469fd6f737cf8734bc0f3901e887ad6f77bf Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Tue, 7 Jul 2026 21:13:20 +0800
Subject: [PATCH 04/37] feat(collectivex): align consumer to single-run
 no-stability dataset

The backend now publishes a v1 dataset from a single qualifying run
(qualification index 1) and no longer measures cross-allocation
stability. Align the frontend consumer to the new emitted shape:

- Drop the per-point `stability` block and the series/cohort
  eligibility stability fields (`stable_p50`, `stable_p99`,
  `p50_max_min_ratio`, `p99_max_min_ratio`) from the zod schemas,
  and pin `promotion.required_allocations` to 1 and
  `promotion.qualification_indices` to [1].
- Remove the reader's per-point qualification-evidence cross-check
  (the removed `stability.qualification_indices`); keep the evidence
  and coverage/selected-attempt invariants.
- Remove stability rendering from the inventory, decision tables,
  display cohorts, and chart tooltip; relabel "3-run evidence" ->
  "Evidence" and "3/3 qualification runs" -> "1/1 qualification run".
- Drop the dead `unstable-p50`, `unstable-p99`, and
  `awaiting-repeat-allocations` reason labels (no longer emitted).
- Regenerate full-catalog.v1.json for the frozen 322-case matrix
  (167 runnable / 155 unsupported, 1314 points) and refresh the
  pinned file/matrix digests and counts in data.test.ts.
- Update the fixture and reader/e2e tests to the single-allocation,
  no-stability shape.
---
 packages/app/cypress/e2e/collectivex.cy.ts    | 13 +++---
 .../collectivex/CollectiveXChart.tsx          |  1 -
 .../collectivex/CollectiveXDisplay.tsx        | 17 +------
 .../collectivex/CollectiveXInventory.tsx      | 15 +-----
 .../collectivex/CollectiveXTables.tsx         | 17 +------
 .../src/components/collectivex/data.test.ts   | 16 +++----
 .../collectivex/full-catalog.v1.json          |  2 +-
 .../src/components/collectivex/reader.test.ts |  7 ++-
 .../app/src/components/collectivex/reader.ts  | 10 ----
 .../components/collectivex/test-fixture.ts    | 36 +++------------
 .../app/src/components/collectivex/types.ts   | 46 +------------------
 11 files changed, 33 insertions(+), 147 deletions(-)

diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index 558086e97..aa2815b0c 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -83,10 +83,10 @@ describe('CollectiveX native publication', () => {
       .and('contain.text', 'Activation-only combine')
       .and('contain.text', '64×8 = 512 samples/component')
       .and('contain.text', '32 synchronized warmups');
-    cy.get('[data-testid="collectivex-controlled-stability"]')
-      .should('contain.text', 'p50 1.050x ≤ 1.10x')
-      .and('contain.text', 'p99 1.100x ≤ 1.25x')
-      .and('contain.text', 'stable ordering passed');
+    cy.get('[data-testid="collectivex-controlled-stability"]').should(
+      'contain.text',
+      'stable ordering passed',
+    );
     cy.get('[data-testid="collectivex-diagnostic-warning"]').should('not.exist');
     cy.get('[data-testid="collectivex-source-link"]').should(
       'have.attr',
@@ -162,7 +162,7 @@ describe('CollectiveX native publication', () => {
       .and('contain.text', 'Combine precision');
     cy.get('[data-testid="collectivex-case-points-table"]').should(
       'contain.text',
-      '3/3 qualification runs',
+      '1/1 qualification run',
     );
 
     const precision = inventory.coverage.find(
@@ -206,9 +206,8 @@ describe('CollectiveX native publication', () => {
       .and('contain.text', 'Round trip')
       .and('contain.text', 'Isolated sum')
       .and('contain.text', '512/512 samples')
-      .and('contain.text', '3/3 qualification runs')
+      .and('contain.text', '1/1 qualification run')
       .and('contain.text', 'Semantic pass')
-      .and('contain.text', 'Stability')
       .and('contain.text', 'Trial diagnostics')
       .and('contain.text', '192 trials')
       .and('contain.text', 'No trial flags')
diff --git a/packages/app/src/components/collectivex/CollectiveXChart.tsx b/packages/app/src/components/collectivex/CollectiveXChart.tsx
index a28574c48..29281a40b 100644
--- a/packages/app/src/components/collectivex/CollectiveXChart.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXChart.tsx
@@ -255,7 +255,6 @@ export function CollectiveXChart({
             <div class="text-muted-foreground">Fan-out: ${measurement.routing.fanout_mean.toFixed(2)} · routed copies: ${measurement.routing.routed_copies} · recv max: ${measurement.routing.recv_tokens_max}</div>
             <div class="text-muted-foreground">Expert CV: ${measurement.routing.expert_load_cv.toFixed(3)} · rank CV: ${measurement.routing.payload_rank_cv.toFixed(3)} · hotspot: ${measurement.routing.hotspot_ratio.toFixed(2)}x · empty experts/ranks: ${measurement.routing.empty_expert_count}/${measurement.routing.empty_rank_count}</div>
             <div class="text-muted-foreground">Correctness: semantic ${measurement.correctness.semantic_pass ? 'pass' : 'fail'} · precision ${measurement.correctness.precision.passed ? 'pass' : 'fail'} · EPLB: ${eplbDetails}</div>
-            <div class="text-muted-foreground">Stability: Q${measurement.stability.qualification_indices.join('/')} · p50 ${measurement.stability.p50_max_min_ratio?.toFixed(3) ?? '-'}x · p99 ${measurement.stability.p99_max_min_ratio?.toFixed(3) ?? '-'}x</div>
             ${measurement.anomalies.length > 0 ? `<div class="text-muted-foreground">Anomalies: ${measurement.anomalies.map(escapeHtml).join(' · ')}</div>` : ''}
             ${eplb.mapping_sha256 ? `<div class="text-muted-foreground" style="word-break: break-all;">EPLB mapping SHA-256: ${escapeHtml(eplb.mapping_sha256)}</div>` : ''}
             <div class="mt-1 text-muted-foreground">Mode: ${escapeHtml(point.series.mode)} · payload unit: ${escapeHtml(point.series.measurement.payload_unit)} · combine: ${escapeHtml(point.series.measurement.combine_semantics)}</div>
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index 12d76a2bc..632ede33e 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -178,7 +178,6 @@ const STRINGS = {
     diagnosticWarning:
       'Diagnostic evidence is excluded from rankings, recommendations, and regression claims.',
     excluded: 'Excluded',
-    repeatSpread: 'Repeat spread',
     stableOrdering: 'stable ordering passed',
     unstableOrdering: 'stable ordering not passed',
     samplingContract: (trials: number, iterations: number, samples: number, warmups: number) =>
@@ -328,7 +327,6 @@ const STRINGS = {
     resetFilter: '重置筛选',
     diagnosticWarning: '诊断证据不会用于排名、推荐或回归结论。',
     excluded: '排除原因',
-    repeatSpread: '重复运行波动',
     stableOrdering: '排名顺序稳定性已通过',
     unstableOrdering: '排名顺序稳定性未通过',
     samplingContract: (trials: number, iterations: number, samples: number, warmups: number) =>
@@ -402,11 +400,6 @@ function formatDate(value: string, locale: 'en' | 'zh'): string {
   }).format(new Date(value));
 }
 
-function repeatRatio(value: number | null, limit: number, locale: 'en' | 'zh'): string {
-  const suffix = locale === 'zh' ? ' 倍' : 'x';
-  return `${value?.toFixed(3) ?? 'n/a'}${suffix} ≤ ${limit.toFixed(2)}${suffix}`;
-}
-
 function ControlGroup({ label, children }: { label: string; children: React.ReactNode }) {
   return (
     <div className="min-w-0 space-y-1.5">
@@ -1267,10 +1260,7 @@ export default function CollectiveXDisplay() {
                 {selectedDiagnosticCohort.eligibility.reasons
                   .map((reason) => collectiveXReasonLabel(reason, locale))
                   .join(', ')}
-                . {t.repeatSpread}: p50{' '}
-                {repeatRatio(selectedDiagnosticCohort.eligibility.p50_max_min_ratio, 1.1, locale)},
-                p99{' '}
-                {repeatRatio(selectedDiagnosticCohort.eligibility.p99_max_min_ratio, 1.25, locale)}.
+                .
               </p>
             )}
             {evidenceScope === 'controlled' && selectedControlledCohort && (
@@ -1278,11 +1268,6 @@ export default function CollectiveXDisplay() {
                 data-testid="collectivex-controlled-stability"
                 className="mt-2 text-xs text-muted-foreground"
               >
-                {t.repeatSpread}: p50{' '}
-                {repeatRatio(selectedControlledCohort.eligibility.p50_max_min_ratio, 1.1, locale)},
-                p99{' '}
-                {repeatRatio(selectedControlledCohort.eligibility.p99_max_min_ratio, 1.25, locale)}{' '}
-                ·{' '}
                 {selectedControlledCohort.eligibility.stable_ordering
                   ? t.stableOrdering
                   : t.unstableOrdering}
diff --git a/packages/app/src/components/collectivex/CollectiveXInventory.tsx b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
index c6bc0dfca..c52af91c1 100644
--- a/packages/app/src/components/collectivex/CollectiveXInventory.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
@@ -210,12 +210,6 @@ function componentSummary(component: CollectiveXComponent | null): React.ReactNo
   );
 }
 
-function pointStability(row: PointRow): string {
-  if (!row.point) return '-';
-  const stability = row.point.stability;
-  return `${stability.complete ? 'complete' : 'incomplete'} · Q${stability.qualification_indices.join('/')} · p50 ${stability.p50_max_min_ratio?.toFixed(3) ?? '-'}x ${stability.stable_p50 ? 'stable' : 'unstable'} · p99 ${stability.p99_max_min_ratio?.toFixed(3) ?? '-'}x ${stability.stable_p99 ? 'stable' : 'unstable'}`;
-}
-
 function pointAnomalies(row: PointRow): string {
   if (!row.point) return '-';
   const routing = row.point.routing;
@@ -353,10 +347,10 @@ function CaseDetail({ dataset, item }: { dataset: CollectiveXDataset; item: Coll
             : '',
       },
       {
-        header: '3-run evidence',
+        header: 'Evidence',
         cell: (row) => (
           <div className="min-w-32 text-xs">
-            <p>{row.qualificationIndices.length}/3 qualification runs</p>
+            <p>{row.qualificationIndices.length}/1 qualification run</p>
             <p className="text-muted-foreground">
               {row.qualificationIndices.map((index) => `Q${index}`).join(' · ') || '-'} ·{' '}
               {row.point?.evidence_ids.length ?? 0} evidence IDs
@@ -365,11 +359,6 @@ function CaseDetail({ dataset, item }: { dataset: CollectiveXDataset; item: Coll
         ),
         sortValue: (row) => row.qualificationIndices.length,
       },
-      {
-        header: 'Stability',
-        cell: (row) => <span className="block min-w-52 text-xs">{pointStability(row)}</span>,
-        sortValue: pointStability,
-      },
       {
         header: 'Anomalies',
         cell: (row) => <span className="block min-w-64 text-xs">{pointAnomalies(row)}</span>,
diff --git a/packages/app/src/components/collectivex/CollectiveXTables.tsx b/packages/app/src/components/collectivex/CollectiveXTables.tsx
index e83f87112..ec9b34ff7 100644
--- a/packages/app/src/components/collectivex/CollectiveXTables.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXTables.tsx
@@ -96,7 +96,6 @@ const STRINGS = {
     varyingFactors: 'Compared',
     sampling: 'Sampling',
     warmups: 'Warmups',
-    repeatStability: 'Repeat stability',
     stableOrdering: 'Stable ordering',
     passed: 'passed',
     notPassed: 'not passed',
@@ -186,7 +185,6 @@ const STRINGS = {
     varyingFactors: '对比变量',
     sampling: '采样',
     warmups: '预热',
-    repeatStability: '重复运行稳定性',
     stableOrdering: '排名顺序稳定',
     passed: '已通过',
     notPassed: '未通过',
@@ -302,8 +300,6 @@ const REASON_LABELS = {
     'incomplete-repeat-coverage': '重复运行覆盖不完整',
     'correctness-failed': '正确性校验失败',
     'missing-measured-roundtrip-p99': '缺少实测往返 p99',
-    'unstable-p50': 'p50 不稳定',
-    'unstable-p99': 'p99 不稳定',
     'unstable-ordering': '排名顺序不稳定',
     'incomplete-provenance': '来源与运行溯源不完整',
     'noncanonical-workload': '工作负载不符合规范',
@@ -316,7 +312,6 @@ const REASON_LABELS = {
     'incomplete-routing-anchors': '路由基准锚点不完整',
     'implementation-config-mismatch': '实现配置不一致',
     'unmatched-token-coverage': 'token 点位覆盖不一致',
-    'awaiting-repeat-allocations': '等待重复独立分配',
     'awaiting-v1-runs': '等待 CollectiveX v1 运行结果',
   },
 } as const;
@@ -346,11 +341,6 @@ function cohortDescription(cohort: CollectiveXCohort, locale: 'en' | 'zh'): stri
   }[cohort.kind];
 }
 
-function repeatRatio(value: number | null, limit: number, locale: 'en' | 'zh'): string {
-  const suffix = locale === 'zh' ? ' 倍' : 'x';
-  return `${value?.toFixed(3) ?? 'n/a'}${suffix} ≤ ${limit.toFixed(2)}${suffix}`;
-}
-
 function attemptRoleLabel(
   attempt: CollectiveXAttempt,
   terminalAttemptIds: Set<string>,
@@ -1032,12 +1022,7 @@ export function CollectiveXDecisionTables({
               </div>
             )}
             <div>
-              <dt className="text-xs text-muted-foreground">{t.repeatStability}</dt>
-              <dd className="mt-1 tabular-nums">
-                p50 {repeatRatio(cohort.eligibility.p50_max_min_ratio, 1.1, locale)} · p99{' '}
-                {repeatRatio(cohort.eligibility.p99_max_min_ratio, 1.25, locale)}
-              </dd>
-              <dt className="mt-2 text-xs text-muted-foreground">{t.stableOrdering}</dt>
+              <dt className="text-xs text-muted-foreground">{t.stableOrdering}</dt>
               <dd className="mt-1">
                 {cohort.eligibility.stable_ordering
                   ? t.passed
diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
index 2813e5251..37ff3786c 100644
--- a/packages/app/src/components/collectivex/data.test.ts
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -35,20 +35,20 @@ describe('CollectiveX EP projections', () => {
     };
 
     expect(createHash('sha256').update(bytes).digest('hex')).toBe(
-      '821e8c2c822da33359fb1ff9aeeea7da689d412824e15cb4b13397fb718ccd25',
+      'b06a7f51e04d96e76444d8256d14ee475b4f267b27cc84a937a1dea010a9453e',
     );
     expect(catalog).toMatchObject({
       format: 'collectivex.frontend-catalog.v1',
       schema_version: 1,
-      matrix_sha256: '5894bab58d3deb2bcee51baa075ca5f5d324b4292ac1cef9f6bc08a07ab1d9a3',
-      case_count: 748,
-      point_count: 1740,
+      matrix_sha256: '3048ef24d2d78751321aa5008dd6e2f83c0e6b881fe8d12811a3bfbda6419c9c',
+      case_count: 322,
+      point_count: 1314,
     });
-    expect(new Set(catalog.cases.map(({ case_id }) => case_id)).size).toBe(748);
-    expect(catalog.cases.reduce((count, { points }) => count + points.length, 0)).toBe(1740);
-    expect(catalog.cases.filter(({ disposition }) => disposition === 'runnable')).toHaveLength(387);
+    expect(new Set(catalog.cases.map(({ case_id }) => case_id)).size).toBe(322);
+    expect(catalog.cases.reduce((count, { points }) => count + points.length, 0)).toBe(1314);
+    expect(catalog.cases.filter(({ disposition }) => disposition === 'runnable')).toHaveLength(167);
     expect(catalog.cases.filter(({ disposition }) => disposition === 'unsupported')).toHaveLength(
-      361,
+      155,
     );
     expect([...new Set(catalog.cases.map(({ sku }) => sku))].toSorted()).toEqual([
       'b200-dgxc',
diff --git a/packages/app/src/components/collectivex/full-catalog.v1.json b/packages/app/src/components/collectivex/full-catalog.v1.json
index bc492a124..7f3125fe4 100644
--- a/packages/app/src/components/collectivex/full-catalog.v1.json
+++ b/packages/app/src/components/collectivex/full-catalog.v1.json
@@ -1 +1 @@
-{"case_count":748,"cases":[{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-dc3957540eca33bff84d3fa31ba305c27ef8c7f0af2960230d168db562260fd6","disposition":"runnable","eplb":false,"label":"H100-DGXC / deepep / EP8 / normal / decode / uniform","mode":"normal","phase":"decode","points":[{"global_tokens":8,"tokens_per_rank":1},{"global_tokens":16,"tokens_per_rank":2},{"global_tokens":32,"tokens_per_rank":4},{"global_tokens":64,"tokens_per_rank":8},{"global_tokens":128,"tokens_per_rank":16},{"global_tokens":256,"tokens_per_rank":32},{"global_tokens":512,"tokens_per_rank":64},{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-bf16","publication_tier":"official","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"h100-dgxc","suite":"ep-core-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"h100-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"deepep-v2","backend_generation":null,"case_id":"cxcase-v1-818f3d4ae3f1fc7adc719a6f950dfc47fa55135c4ab5323be2a50bd725a2bd59","disposition":"unsupported","eplb":false,"label":"H100-DGXC / deepep-v2 / EP8 / normal / decode / uniform","mode":"normal","phase":"decode","points":[{"global_tokens":8,"tokens_per_rank":1},{"global_tokens":16,"tokens_per_rank":2},{"global_tokens":32,"tokens_per_rank":4},{"global_tokens":64,"tokens_per_rank":8},{"global_tokens":128,"tokens_per_rank":16},{"global_tokens":256,"tokens_per_rank":32},{"global_tokens":512,"tokens_per_rank":64},{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-bf16","publication_tier":"official","reason":"backend-platform-unsupported","required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"h100-dgxc","suite":"ep-core-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"h100-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"uccl","backend_generation":null,"case_id":"cxcase-v1-6898a817b7d7d270a0c0e4c4d58eb35e28e7620d85245b53d874c053dbd0aefc","disposition":"runnable","eplb":false,"label":"H100-DGXC / uccl / EP8 / normal / decode / uniform","mode":"normal","phase":"decode","points":[{"global_tokens":8,"tokens_per_rank":1},{"global_tokens":16,"tokens_per_rank":2},{"global_tokens":32,"tokens_per_rank":4},{"global_tokens":64,"tokens_per_rank":8},{"global_tokens":128,"tokens_per_rank":16},{"global_tokens":256,"tokens_per_rank":32},{"global_tokens":512,"tokens_per_rank":64},{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-bf16","publication_tier":"official","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"h100-dgxc","suite":"ep-core-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"h100-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"deepep-hybrid","backend_generation":null,"case_id":"cxcase-v1-2eb2e59b880fe5777b900bf05cbf112a02849e3b07122548071917cfdb46b37f","disposition":"runnable","eplb":false,"label":"H100-DGXC / deepep-hybrid / EP8 / normal / decode / uniform","mode":"normal","phase":"decode","points":[{"global_tokens":8,"tokens_per_rank":1},{"global_tokens":16,"tokens_per_rank":2},{"global_tokens":32,"tokens_per_rank":4},{"global_tokens":64,"tokens_per_rank":8},{"global_tokens":128,"tokens_per_rank":16},{"global_tokens":256,"tokens_per_rank":32},{"global_tokens":512,"tokens_per_rank":64},{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-bf16","publication_tier":"official","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"h100-dgxc","suite":"ep-core-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"h100-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"mori","backend_generation":null,"case_id":"cxcase-v1-376c206e9037102670c0c2d829f55bb61bf26d76f71ddb94a5a6cbd9b17b6795","disposition":"unsupported","eplb":false,"label":"H100-DGXC / mori / EP8 / normal / decode / uniform","mode":"normal","phase":"decode","points":[{"global_tokens":8,"tokens_per_rank":1},{"global_tokens":16,"tokens_per_rank":2},{"global_tokens":32,"tokens_per_rank":4},{"global_tokens":64,"tokens_per_rank":8},{"global_tokens":128,"tokens_per_rank":16},{"global_tokens":256,"tokens_per_rank":32},{"global_tokens":512,"tokens_per_rank":64},{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-bf16.c-bf16","publication_tier":"official","reason":"backend-platform-unsupported","required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"h100-dgxc","suite":"ep-core-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"h100-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"nccl-ep","backend_generation":null,"case_id":"cxcase-v1-1109463b8dba5ebd5debbeed7c52df9ead477c20f91fe9cae76e2621a666a873","disposition":"runnable","eplb":false,"label":"H100-DGXC 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uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-fp8-e4m3fn-b128-f32-fused.c-bf16","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"b300","suite":"ep-precision-low-latency-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"b300-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-1473b35d6a7f3fb3a353c5e740dd4fadd72c76229bafb04a305feedca2991ad8","disposition":"unsupported","eplb":false,"label":"B300 / deepep / EP16 / low-latency / decode / uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":2048,"tokens_per_rank":128}],"precision_profile":"d-fp8-e4m3fn-b128-f32-fused.c-bf16","publication_tier":"comparable-experimental","reason":"precision-profile-unsupported","required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"b300","suite":"ep-precision-low-latency-v1","topology":{"ep_size":16,"gpus_per_node":8,"nodes":2,"scale_out_transport":"rdma","scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-out","topology_class":"b300-nvlink-rdma","transport":"nvlink-rdma"},"workload":"deepseek-v3-v1"},{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-b3922039c14fd5a38e1cc052da88d7adeb2398af7c59d465414588e27f9037db","disposition":"runnable","eplb":false,"label":"B200-DGXC / deepep / EP8 / low-latency / decode / uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-fp8-e4m3fn-b128-f32-fused.c-bf16","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"b200-dgxc","suite":"ep-precision-low-latency-v1","topology":{"ep_size":8,"gpus_per_node":8,"nodes":1,"scale_out_transport":null,"scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-up","topology_class":"b200-nvlink-island","transport":"nvlink"},"workload":"deepseek-v3-v1"},{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-cd58feeee602306f62f7908fc878a1801b77e4c624aad80f47f7d86fc79addac","disposition":"unsupported","eplb":false,"label":"B200-DGXC / deepep / EP16 / low-latency / decode / uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":2048,"tokens_per_rank":128}],"precision_profile":"d-fp8-e4m3fn-b128-f32-fused.c-bf16","publication_tier":"comparable-experimental","reason":"precision-profile-unsupported","required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"b200-dgxc","suite":"ep-precision-low-latency-v1","topology":{"ep_size":16,"gpus_per_node":8,"nodes":2,"scale_out_transport":"rdma","scale_up_domain":8,"scale_up_transport":"nvlink","scope":"scale-out","topology_class":"b200-nvlink-rdma","transport":"nvlink-rdma"},"workload":"deepseek-v3-v1"},{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-1c922c8ac9573d9cdfe0c8038ad6eba250cd97d8077f720ab165bb42c53e339a","disposition":"runnable","eplb":false,"label":"GB300 / deepep / EP8 / low-latency / decode / uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-fp8-e4m3fn-b128-f32-fused.c-bf16","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"gb300","suite":"ep-precision-low-latency-v1","topology":{"ep_size":8,"gpus_per_node":4,"nodes":2,"scale_out_transport":null,"scale_up_domain":72,"scale_up_transport":"mnnvl","scope":"scale-up","topology_class":"gb300-nvl72-mnnvl","transport":"mnnvl"},"workload":"deepseek-v3-v1"},{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-e1e6a1544edf5cfc75644df66e3d688dcba7b19eaedf109fc061d09e333d9f0a","disposition":"runnable","eplb":false,"label":"GB300 / deepep / EP16 / low-latency / decode / uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":2048,"tokens_per_rank":128}],"precision_profile":"d-fp8-e4m3fn-b128-f32-fused.c-bf16","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"gb300","suite":"ep-precision-low-latency-v1","topology":{"ep_size":16,"gpus_per_node":4,"nodes":4,"scale_out_transport":null,"scale_up_domain":72,"scale_up_transport":"mnnvl","scope":"scale-up","topology_class":"gb300-nvl72-mnnvl","transport":"mnnvl"},"workload":"deepseek-v3-v1"},{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-3cc784fe4db69a4424425704e3ad0756df8751a1ae28fa3bb21feed23c8daaee","disposition":"runnable","eplb":false,"label":"GB200 / deepep / EP8 / low-latency / decode / uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":1024,"tokens_per_rank":128}],"precision_profile":"d-fp8-e4m3fn-b128-f32-fused.c-bf16","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"gb200","suite":"ep-precision-low-latency-v1","topology":{"ep_size":8,"gpus_per_node":4,"nodes":2,"scale_out_transport":null,"scale_up_domain":72,"scale_up_transport":"mnnvl","scope":"scale-up","topology_class":"gb200-nvl72-mnnvl","transport":"mnnvl"},"workload":"deepseek-v3-v1"},{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-ea8e14e6f6d51491ce097add5971da679965bc2219b8907859dfe420e3f5ba8c","disposition":"runnable","eplb":false,"label":"GB200 / deepep / EP16 / low-latency / decode / uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":2048,"tokens_per_rank":128}],"precision_profile":"d-fp8-e4m3fn-b128-f32-fused.c-bf16","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"gb200","suite":"ep-precision-low-latency-v1","topology":{"ep_size":16,"gpus_per_node":4,"nodes":4,"scale_out_transport":null,"scale_up_domain":72,"scale_up_transport":"mnnvl","scope":"scale-up","topology_class":"gb200-nvl72-mnnvl","transport":"mnnvl"},"workload":"deepseek-v3-v1"}],"format":"collectivex.frontend-catalog.v1","matrix_sha256":"3048ef24d2d78751321aa5008dd6e2f83c0e6b881fe8d12811a3bfbda6419c9c","point_count":1314,"precision_profiles":{"d-bf16.c-bf16":{"combine":{"alignment_contract":"native-bf16-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"bf16","conversion_boundary":"none","padding_contract":"none","quantization_origin":"none","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"},"dispatch":{"alignment_contract":"native-bf16-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"bf16","conversion_boundary":"none","padding_contract":"none","quantization_origin":"none","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"}},"d-fp8-e4m3fn-b128-f32-fused.c-bf16":{"combine":{"alignment_contract":"native-bf16-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"bf16","conversion_boundary":"none","padding_contract":"none","quantization_origin":"none","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"},"dispatch":{"alignment_contract":"hidden-block-128","api_input_dtype":"bf16","api_output_dtype":"fp8-e4m3fn-with-f32-scale","communication_format":"fp8-e4m3fn","conversion_boundary":"inside-dispatch-timing","padding_contract":"right-zero-pad-hidden-to-128","quantization_origin":"backend-fused","scale_dtype":"f32","scale_group_size":128,"scale_layout":"per-token-hidden-block"}},"d-fp8-e4m3fn-b128-f32-prequantized.c-bf16":{"combine":{"alignment_contract":"native-bf16-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"bf16","conversion_boundary":"none","padding_contract":"none","quantization_origin":"none","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"},"dispatch":{"alignment_contract":"hidden-block-128","api_input_dtype":"fp8-e4m3fn-with-f32-scale","api_output_dtype":"fp8-e4m3fn-with-f32-scale","communication_format":"fp8-e4m3fn","conversion_boundary":"before-dispatch-timing","padding_contract":"right-zero-pad-hidden-to-128","quantization_origin":"caller-prequantized","scale_dtype":"f32","scale_group_size":128,"scale_layout":"per-token-hidden-block"}},"d-fp8-e4m3fnuz-b128-f32-prequantized.c-fp8-e4m3fnuz-direct-cast-noscale":{"combine":{"alignment_contract":"native-fp8-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"fp8-e4m3fnuz","conversion_boundary":"inside-combine-timing","padding_contract":"none","quantization_origin":"backend-internal-direct-cast","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"},"dispatch":{"alignment_contract":"hidden-block-128","api_input_dtype":"fp8-e4m3fnuz-with-f32-scale","api_output_dtype":"fp8-e4m3fnuz-with-f32-scale","communication_format":"fp8-e4m3fnuz","conversion_boundary":"before-dispatch-timing","padding_contract":"right-zero-pad-hidden-to-128","quantization_origin":"caller-prequantized","scale_dtype":"f32","scale_group_size":128,"scale_layout":"per-token-hidden-block"}}},"schema_version":1}
diff --git a/packages/app/src/components/collectivex/reader.test.ts b/packages/app/src/components/collectivex/reader.test.ts
index 857542e86..a2cf2d6f1 100644
--- a/packages/app/src/components/collectivex/reader.test.ts
+++ b/packages/app/src/components/collectivex/reader.test.ts
@@ -34,6 +34,11 @@ describe('CollectiveX publication reader', () => {
     )!;
     nonSuccessAttempt.failure_mode = 'future-runtime-mode';
     nonSuccessAttempt.reason = 'future-runtime-reason';
+    const nonSuccessCoverage = dataset.coverage.find(
+      (item) => item.selected_attempt_id === nonSuccessAttempt.attempt_id,
+    )!;
+    nonSuccessCoverage.failure_mode = 'future-runtime-mode';
+    nonSuccessCoverage.reason = 'future-runtime-reason';
 
     const result = parseCollectiveXDataset(dataset);
 
@@ -62,7 +67,7 @@ describe('CollectiveX publication reader', () => {
       component_order_contract: 'qualification-hash-rotated-components-v1',
       combine_semantics: 'gate-weighted',
       payload_unit: 'token-expert',
-      qualification_indices: [1, 2, 3],
+      qualification_indices: [1],
     });
     expect(unsupported.topology).toMatchObject({
       ep_size: 16,
diff --git a/packages/app/src/components/collectivex/reader.ts b/packages/app/src/components/collectivex/reader.ts
index dfc6bdb63..cc0f21640 100644
--- a/packages/app/src/components/collectivex/reader.ts
+++ b/packages/app/src/components/collectivex/reader.ts
@@ -425,16 +425,6 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
       if (!sameIds(point.evidence_ids, linkedEvidenceIds)) {
         throw new CollectiveXDataError(`point ${point.point_id} has inconsistent evidence links.`);
       }
-      if (
-        !sameIds(
-          point.stability.qualification_indices.map(String),
-          pointAttempts.map((attempt) => String(attempt.qualification_index)),
-        )
-      ) {
-        throw new CollectiveXDataError(
-          `point ${point.point_id} has inconsistent qualification evidence.`,
-        );
-      }
       if (
         point.correctness.precision.profile_id !== item.workload.precision_profile ||
         (point.correctness.semantic_pass && !point.correctness.precision.passed)
diff --git a/packages/app/src/components/collectivex/test-fixture.ts b/packages/app/src/components/collectivex/test-fixture.ts
index 653537c33..a5da79c5e 100644
--- a/packages/app/src/components/collectivex/test-fixture.ts
+++ b/packages/app/src/components/collectivex/test-fixture.ts
@@ -26,7 +26,7 @@ function fixtureId(
   return `cx${kind}-v1-${value.toString(16).padStart(64, '0')}`;
 }
 
-const qualificationIndices = [1, 2, 3] as const;
+const qualificationIndices = [1] as const;
 const allocations = qualificationIndices.map((value) => fixtureId('allocation', value));
 const decisionIds = {
   libraryCohort: fixtureId('cohort', 1),
@@ -49,11 +49,7 @@ function makeEligibility(): CollectiveXEligibility {
     complete: true,
     correct: true,
     measured_roundtrip_p99: true,
-    stable_p50: true,
-    stable_p99: true,
     stable_ordering: true,
-    p50_max_min_ratio: 1.05,
-    p99_max_min_ratio: 1.1,
     reasons: [],
   };
 }
@@ -245,7 +241,7 @@ function makeSeries(
       trials: 64,
       warmups: 32,
       samples_per_component: 512,
-      qualification_indices: [1, 2, 3],
+      qualification_indices: [...qualificationIndices],
       headline_component: 'roundtrip',
       headline_percentile: 'p99',
     },
@@ -264,14 +260,6 @@ function makeSeries(
             profile_id: 'd-bf16.c-bf16',
           },
         },
-        stability: {
-          complete: true,
-          qualification_indices: [...qualificationIndices],
-          p50_max_min_ratio: 1.05,
-          p99_max_min_ratio: 1.1,
-          stable_p50: true,
-          stable_p99: true,
-        },
         trial_diagnostics: {
           flagged: false,
           reasons: [],
@@ -685,13 +673,13 @@ export function makeCollectiveXDataset(): CollectiveXDataset {
     format: 'collectivex.public.v1',
     schema_version: 1,
     generated_at: '2026-07-04T01:00:00Z',
-    source_bundle_ids: ['a'.repeat(64), 'b'.repeat(64), 'c'.repeat(64)],
+    source_bundle_ids: ['a'.repeat(64)],
     promotion: {
       status: 'promoted',
       matrix_id: '5'.repeat(64),
       allocation_ids: [...allocations],
-      required_allocations: 3,
-      qualification_indices: [1, 2, 3],
+      required_allocations: 1,
+      qualification_indices: [...qualificationIndices],
       requested_cases: 8,
       terminal_cases: 8,
       measured_cases: 7,
@@ -894,14 +882,6 @@ export function makeCollectiveXDiagnosticDataset(): CollectiveXDataset {
   const evidenceId = series.points[0].evidence_ids[0];
   series.allocation_ids = [allocationId];
   series.points[0].evidence_ids = [evidenceId];
-  series.points[0].stability = {
-    complete: false,
-    qualification_indices: [1],
-    p50_max_min_ratio: null,
-    p99_max_min_ratio: null,
-    stable_p50: false,
-    stable_p99: false,
-  };
   series.measurement.qualification_indices = [1];
   series.eligibility = {
     decision_grade: false,
@@ -909,12 +889,8 @@ export function makeCollectiveXDiagnosticDataset(): CollectiveXDataset {
     complete: false,
     correct: true,
     measured_roundtrip_p99: true,
-    stable_p50: false,
-    stable_p99: false,
     stable_ordering: false,
-    p50_max_min_ratio: null,
-    p99_max_min_ratio: null,
-    reasons: ['awaiting-repeat-allocations'],
+    reasons: ['incomplete-repeat-coverage'],
   };
   const attempt = dataset.attempts.find(
     (item) => item.series_id === series.series_id && item.allocation_id === allocationId,
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
index 22623100f..3af8b4d3e 100644
--- a/packages/app/src/components/collectivex/types.ts
+++ b/packages/app/src/components/collectivex/types.ts
@@ -172,42 +172,6 @@ const pointCorrectnessSchema = z.strictObject({
   }),
 });
 const qualificationIndex = z.union([z.literal(1), z.literal(2), z.literal(3)]);
-const pointStabilitySchema = z
-  .strictObject({
-    complete: z.boolean(),
-    qualification_indices: unique(qualificationIndex).min(1).max(3),
-    p50_max_min_ratio: z.number().finite().min(1).nullable(),
-    p99_max_min_ratio: z.number().finite().min(1).nullable(),
-    stable_p50: z.boolean(),
-    stable_p99: z.boolean(),
-  })
-  .superRefine((value, context) => {
-    if (
-      value.complete &&
-      (value.qualification_indices.join(',') !== '1,2,3' ||
-        value.p50_max_min_ratio === null ||
-        value.p99_max_min_ratio === null)
-    ) {
-      context.addIssue({
-        code: 'custom',
-        path: ['qualification_indices'],
-        message: 'complete point stability requires Q1-Q3 and repeat ratios',
-      });
-    }
-    if (
-      !value.complete &&
-      (value.p50_max_min_ratio !== null ||
-        value.p99_max_min_ratio !== null ||
-        value.stable_p50 ||
-        value.stable_p99)
-    ) {
-      context.addIssue({
-        code: 'custom',
-        path: ['complete'],
-        message: 'incomplete point stability cannot claim stable repeat ratios',
-      });
-    }
-  });
 const trialDiagnosticComponentSchema = z.strictObject({
   drift_flagged: z.boolean(),
   first_last_median_ratio: z.number().finite().min(1),
@@ -237,11 +201,7 @@ const eligibilitySchema = z
     complete: z.boolean(),
     correct: z.boolean(),
     measured_roundtrip_p99: z.boolean(),
-    stable_p50: z.boolean(),
-    stable_p99: z.boolean(),
     stable_ordering: z.boolean(),
-    p50_max_min_ratio: z.number().finite().min(1).nullable(),
-    p99_max_min_ratio: z.number().finite().min(1).nullable(),
     reasons: unique(reason.unwrap()),
   })
   .refine((value) => value.decision_grade === (value.reasons.length === 0), {
@@ -266,7 +226,6 @@ const pointSchema = z.strictObject({
   global_tokens: positiveInteger,
   anomalies: unique(reasonId).max(16),
   correctness: pointCorrectnessSchema,
-  stability: pointStabilitySchema,
   trial_diagnostics: trialDiagnosticsSchema,
   routing: routingEvidenceSchema,
   components: z.strictObject({
@@ -582,8 +541,8 @@ export const collectiveXDatasetSchema = z.strictObject({
     reason,
     matrix_id: hex64.nullable(),
     allocation_ids: unique(typedId('allocation')),
-    required_allocations: z.literal(3),
-    qualification_indices: unique(qualificationIndex).max(3),
+    required_allocations: z.literal(1),
+    qualification_indices: unique(z.literal(1)).max(1),
     requested_cases: nonnegativeInteger,
     terminal_cases: nonnegativeInteger,
     measured_cases: nonnegativeInteger,
@@ -610,7 +569,6 @@ export type CollectiveXCommunicationAxis = z.infer<typeof communicationAxisSchem
 export type CollectiveXPrecisionProfile = z.infer<typeof precisionProfileSchema>;
 export type CollectiveXPoint = z.infer<typeof pointSchema>;
 export type CollectiveXPointCorrectness = z.infer<typeof pointCorrectnessSchema>;
-export type CollectiveXPointStability = z.infer<typeof pointStabilitySchema>;
 export type CollectiveXSeries = z.infer<typeof seriesSchema>;
 export type CollectiveXCoverage = z.infer<typeof coverageSchema>;
 export type CollectiveXCoverageTopology = z.infer<typeof coverageTopologySchema>;

From fc19c69befdaffb1ca1be0c47040673dc4fa9a7a Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Tue, 7 Jul 2026 22:17:56 +0800
Subject: [PATCH 05/37] feat(collectivex): model release version as numeric
 incrementable identity
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

The CollectiveX release version becomes a first-class numeric identity
(1, 2, 3, ...) instead of the hardcoded string "v1", matching the backend
release marker's "version": N and the cxpublication-<N>-* artifact name.
Future releases increment the number; a version dropdown selects which one.

- types.ts: COLLECTIVEX_VERSIONS is [1] (numeric); add COLLECTIVEX_DEFAULT_VERSION
  (max), collectiveXVersionLabel (`V${n}`), and parseCollectiveXVersion (strict
  positive-int guard). Frozen data-format literals (collectivex.public.v1,
  cx*-v1-*, collectivex_public_v1_*.ndjson) are schema-version and stay unchanged.
- SelectControl/SelectOption generalized to `string | number`; Radix Select is
  string-native, so numeric option values round-trip via String() and are
  recovered from the option list on change.
- route.ts validates the URL version segment through parseCollectiveXVersion
  (404 on unknown) instead of a blind cast.
- reader/api/use-collectivex default to COLLECTIVEX_DEFAULT_VERSION.
- collectivex-github PUBLICATION_POLICY keyed by numeric version.
- promotion badge is version-agnostic ("Promoted"/"已发布").
---
 packages/app/cypress/e2e/collectivex.cy.ts    |  8 ++---
 .../collectivex-data/[...path]/route.test.ts  | 21 +++++++++----
 .../app/collectivex-data/[...path]/route.ts   |  8 +++--
 .../collectivex/CollectiveXDisplay.tsx        | 26 +++++++++++-----
 .../src/components/collectivex/reader.test.ts |  2 +-
 .../app/src/components/collectivex/reader.ts  |  5 ++--
 .../app/src/components/collectivex/types.ts   | 17 ++++++++++-
 packages/app/src/hooks/api/use-collectivex.ts |  7 +++--
 packages/app/src/lib/api.test.ts              |  2 +-
 packages/app/src/lib/api.ts                   |  7 +++--
 .../app/src/lib/collectivex-github.test.ts    | 30 +++++++++----------
 packages/app/src/lib/collectivex-github.ts    |  4 ++-
 12 files changed, 92 insertions(+), 45 deletions(-)

diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index aa2815b0c..a3d3f028e 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -8,7 +8,7 @@ import {
 } from '@/components/collectivex/test-fixture';
 import type { CollectiveXDataset } from '@/components/collectivex/types';
 
-const channelUrl = '/collectivex-data/v1/channels/dev-latest.json';
+const channelUrl = '/collectivex-data/1/channels/dev-latest.json';
 
 async function sha256(value: string): Promise<string> {
   const digest = await crypto.subtle.digest('SHA-256', new TextEncoder().encode(value));
@@ -36,7 +36,7 @@ function installPublication(
         },
       },
     }).as('collectivexChannel-dev-latest');
-    cy.intercept('GET', `/collectivex-data/v1/datasets/${digest}/dataset.json`, {
+    cy.intercept('GET', `/collectivex-data/1/datasets/${digest}/dataset.json`, {
       body,
       delay: options.delay,
       headers: { 'content-type': 'application/json' },
@@ -58,7 +58,7 @@ describe('CollectiveX native publication', () => {
 
   it('defaults to a publisher-controlled, decision-grade cohort', () => {
     cy.get('[data-testid="collectivex-display"]')
-      .should('contain.text', 'Promoted v1')
+      .should('contain.text', 'Promoted')
       .and('contain.text', '8/8')
       .and('contain.text', '24')
       .and('contain.text', 'H100 EP8 library comparison');
@@ -252,7 +252,7 @@ describe('CollectiveX native publication', () => {
       .should('contain.text', 'CollectiveX 通信基准测试')
       .and('contain.text', '专家并行');
     cy.get('[data-testid="collectivex-display"]')
-      .should('contain.text', '已发布 v1')
+      .should('contain.text', '已发布')
       .and('contain.text', '决策级序列')
       .and('contain.text', '受控队列');
     cy.get('[data-testid="collectivex-methodology-link"]')
diff --git a/packages/app/src/app/collectivex-data/[...path]/route.test.ts b/packages/app/src/app/collectivex-data/[...path]/route.test.ts
index 880cfa4a2..2fbdd53db 100644
--- a/packages/app/src/app/collectivex-data/[...path]/route.test.ts
+++ b/packages/app/src/app/collectivex-data/[...path]/route.test.ts
@@ -42,7 +42,7 @@ beforeEach(() => {
 
 describe('CollectiveX GitHub publication route', () => {
   it('resolves dev-latest to the JIT-fetched publication', async () => {
-    const response = await request('v1', 'channels', 'dev-latest.json');
+    const response = await request('1', 'channels', 'dev-latest.json');
     const channel = parseCollectiveXChannel(await response.json());
 
     expect(response.status).toBe(200);
@@ -52,22 +52,22 @@ describe('CollectiveX GitHub publication route', () => {
       channel: 'dev-latest',
       dataset: { bytes: body.byteLength, sha256: digest },
     });
-    expect(github.load).toHaveBeenCalledWith('v1', undefined);
+    expect(github.load).toHaveBeenCalledWith(1, undefined);
   });
 
   it('serves the exact digest-addressed dataset bytes', async () => {
-    const response = await request('v1', 'datasets', digest, 'dataset.json');
+    const response = await request('1', 'datasets', digest, 'dataset.json');
     const served = Buffer.from(await response.arrayBuffer());
 
     expect(response.status).toBe(200);
     expect(response.headers.get('cache-control')).toContain('immutable');
     expect(served).toEqual(body);
     expect(parseCollectiveXDataset(JSON.parse(served.toString('utf8')))).toEqual(dataset);
-    expect(github.load).toHaveBeenCalledWith('v1', digest);
+    expect(github.load).toHaveBeenCalledWith(1, digest);
   });
 
   it('does not expose the private latest-attempt channel', async () => {
-    const response = await request('v1', 'channels', 'latest-attempt.json');
+    const response = await request('1', 'channels', 'latest-attempt.json');
 
     expect(response.status).toBe(404);
     expect(response.headers.get('x-collectivex-status')).toBeNull();
@@ -81,7 +81,7 @@ describe('CollectiveX GitHub publication route', () => {
   ] as const)('maps %s source failures without exposing details', async (code, status, marker) => {
     github.load.mockRejectedValue(Object.assign(new Error('private upstream detail'), { code }));
 
-    const response = await request('v1', 'channels', 'dev-latest.json');
+    const response = await request('1', 'channels', 'dev-latest.json');
 
     expect(response.status).toBe(status);
     expect(response.headers.get('x-collectivex-status')).toBe(marker);
@@ -93,4 +93,13 @@ describe('CollectiveX GitHub publication route', () => {
     expect(response.status).toBe(404);
     expect(github.load).not.toHaveBeenCalled();
   });
+
+  it.each(['v1', '0', '99', '01'])(
+    'rejects the unknown version segment %s before contacting GitHub',
+    async (segment) => {
+      const response = await request(segment, 'channels', 'dev-latest.json');
+      expect(response.status).toBe(404);
+      expect(github.load).not.toHaveBeenCalled();
+    },
+  );
 });
diff --git a/packages/app/src/app/collectivex-data/[...path]/route.ts b/packages/app/src/app/collectivex-data/[...path]/route.ts
index c4f8ce3b8..17bc38c52 100644
--- a/packages/app/src/app/collectivex-data/[...path]/route.ts
+++ b/packages/app/src/app/collectivex-data/[...path]/route.ts
@@ -2,7 +2,7 @@ import {
   collectiveXPublicationErrorCode,
   loadCollectiveXPublication,
 } from '@/lib/collectivex-github';
-import { COLLECTIVEX_VERSIONS, type CollectiveXVersion } from '@/components/collectivex/types';
+import { COLLECTIVEX_VERSIONS, parseCollectiveXVersion } from '@/components/collectivex/types';
 
 export const dynamic = 'force-dynamic';
 export const runtime = 'nodejs';
@@ -39,8 +39,12 @@ export async function GET(_request: Request, context: { params: Promise<{ path:
   const dataset = DATASET.exec(relative);
   if (!channel && !dataset) return unavailable(404);
 
+  const version = parseCollectiveXVersion(
+    channel?.groups?.version ?? dataset?.groups?.version ?? '',
+  );
+  if (!version) return unavailable(404);
+
   try {
-    const version = (channel?.groups?.version ?? dataset?.groups?.version) as CollectiveXVersion;
     const publication = await loadCollectiveXPublication(version, dataset?.groups?.digest);
     if (dataset) {
       return json(publication.body, 'public, max-age=31536000, immutable');
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index 632ede33e..4e0f75c24 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -43,6 +43,8 @@ import {
 } from './data';
 import {
   COLLECTIVEX_VERSIONS,
+  COLLECTIVEX_DEFAULT_VERSION,
+  collectiveXVersionLabel,
   type CollectiveXCohort,
   type CollectiveXMode,
   type CollectiveXOperation,
@@ -57,7 +59,7 @@ import {
 
 type EvidenceScope = 'controlled' | 'diagnostic';
 type CollectiveXTab = 'results' | 'decisions' | 'evidence';
-interface SelectOption<T extends string> {
+interface SelectOption<T extends string | number> {
   value: T;
   label: string;
 }
@@ -106,7 +108,7 @@ const STRINGS = {
     },
     channel: { 'dev-latest': 'Published', 'latest-attempt': 'Latest attempt' },
     tabs: { results: 'EP results', decisions: 'Decisions', evidence: 'Evidence' },
-    promotion: { promoted: 'Promoted v1', diagnostic: 'diagnostic', quarantined: 'quarantined' },
+    promotion: { promoted: 'Promoted', diagnostic: 'diagnostic', quarantined: 'quarantined' },
     all: 'All',
     loading: 'Resolving CollectiveX publication...',
     unavailable: 'CollectiveX publication unavailable',
@@ -257,7 +259,7 @@ const STRINGS = {
     },
     channel: { 'dev-latest': '已发布', 'latest-attempt': '最新尝试' },
     tabs: { results: 'EP 结果', decisions: '决策', evidence: '证据' },
-    promotion: { promoted: '已发布 v1', diagnostic: '诊断', quarantined: '已隔离' },
+    promotion: { promoted: '已发布', diagnostic: '诊断', quarantined: '已隔离' },
     all: '全部',
     loading: '正在解析 CollectiveX 发布数据...',
     unavailable: 'CollectiveX 发布数据不可用',
@@ -436,7 +438,7 @@ function publicationSourceSha(series: CollectiveXSeries[]): string | null {
 export default function CollectiveXDisplay() {
   const locale = useLocale();
   const t = STRINGS[locale];
-  const [version, setVersion] = useState<CollectiveXVersion>('v1');
+  const [version, setVersion] = useState<CollectiveXVersion>(COLLECTIVEX_DEFAULT_VERSION);
   const { data, error, isLoading, isFetching, refetch } = useCollectiveX('dev-latest', version);
   const [tab, setTab] = useState<CollectiveXTab>('results');
   const [evidenceScope, setEvidenceScope] = useState<EvidenceScope>('controlled');
@@ -491,7 +493,7 @@ export default function CollectiveXDisplay() {
   ];
   const versionOptions: SelectOption<CollectiveXVersion>[] = COLLECTIVEX_VERSIONS.map((value) => ({
     value,
-    label: value.toUpperCase(),
+    label: collectiveXVersionLabel(value),
   }));
   const tabOptions: { value: CollectiveXTab; label: string }[] = [
     { value: 'results', label: t.tabs.results },
@@ -1342,7 +1344,7 @@ function Stat({
   );
 }
 
-function SelectControl<T extends string>({
+function SelectControl<T extends string | number>({
   label,
   testId,
   value,
@@ -1357,15 +1359,23 @@ function SelectControl<T extends string>({
   onChange: (value: T) => void;
   placeholder?: string;
 }) {
+  // Radix Select speaks strings; numeric option values (e.g. the release version)
+  // round-trip through String() and are recovered from the option list on change.
   return (
     <ControlGroup label={label}>
-      <Select value={value} onValueChange={(next) => onChange(next as T)}>
+      <Select
+        value={String(value)}
+        onValueChange={(next) => {
+          const match = options.find((item) => String(item.value) === next);
+          if (match) onChange(match.value);
+        }}
+      >
         <SelectTrigger data-testid={testId} className="min-w-0 w-full">
           <SelectValue placeholder={placeholder} />
         </SelectTrigger>
         <SelectContent>
           {options.map((item) => (
-            <SelectItem key={item.value} value={item.value}>
+            <SelectItem key={String(item.value)} value={String(item.value)}>
               {item.label}
             </SelectItem>
           ))}
diff --git a/packages/app/src/components/collectivex/reader.test.ts b/packages/app/src/components/collectivex/reader.test.ts
index a2cf2d6f1..0f0e5febd 100644
--- a/packages/app/src/components/collectivex/reader.test.ts
+++ b/packages/app/src/components/collectivex/reader.test.ts
@@ -551,7 +551,7 @@ describe('CollectiveX publication reader', () => {
     );
     expect(mockFetch).toHaveBeenNthCalledWith(
       2,
-      `/collectivex-data/v1/datasets/${digest}/dataset.json`,
+      `/collectivex-data/1/datasets/${digest}/dataset.json`,
       expect.objectContaining({ cache: 'force-cache', credentials: 'same-origin' }),
     );
   });
diff --git a/packages/app/src/components/collectivex/reader.ts b/packages/app/src/components/collectivex/reader.ts
index cc0f21640..08008b7e4 100644
--- a/packages/app/src/components/collectivex/reader.ts
+++ b/packages/app/src/components/collectivex/reader.ts
@@ -12,6 +12,7 @@ import {
   type CollectiveXResolvedDataset,
   type CollectiveXSeries,
   type CollectiveXVersion,
+  COLLECTIVEX_DEFAULT_VERSION,
 } from './types';
 
 export type CollectiveXChannelName = CollectiveXChannel['channel'];
@@ -20,7 +21,7 @@ const collectiveXPublicRoot = (version: CollectiveXVersion) => `/collectivex-dat
 
 export const collectiveXChannelUrl = (
   channel: CollectiveXChannelName,
-  version: CollectiveXVersion = 'v1',
+  version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
 ) => `${collectiveXPublicRoot(version)}channels/${channel}.json`;
 
 export type CollectiveXAvailabilityReason = 'source-unavailable' | 'channel-unavailable';
@@ -763,7 +764,7 @@ export async function sha256Hex(bytes: Uint8Array<ArrayBuffer>): Promise<string>
 export async function fetchCollectiveXPublication(
   channelName: CollectiveXChannelName = 'dev-latest',
   signal?: AbortSignal,
-  version: CollectiveXVersion = 'v1',
+  version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
 ): Promise<CollectiveXResolvedDataset> {
   const channelResponse = await responseOrThrow(
     collectiveXChannelUrl(channelName, version),
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
index 3af8b4d3e..ef941e4c6 100644
--- a/packages/app/src/components/collectivex/types.ts
+++ b/packages/app/src/components/collectivex/types.ts
@@ -1,8 +1,23 @@
 import { z } from 'zod';
 
 export type CollectiveXPhase = 'decode' | 'prefill';
-export const COLLECTIVEX_VERSIONS = ['v1'] as const;
+// The release version is a numeric, incrementable identity (1, 2, 3, ...), matching
+// the backend release marker's "version": N and the cxpublication-<N>-* artifact name.
+// It is NOT the frozen data-format literal "v1" (collectivex.public.v1, cx*-v1-*,
+// collectivex_public_v1_*.ndjson), which is schema-version and shared across releases.
+export const COLLECTIVEX_VERSIONS = [1] as const;
 export type CollectiveXVersion = (typeof COLLECTIVEX_VERSIONS)[number];
+export const COLLECTIVEX_DEFAULT_VERSION: CollectiveXVersion = Math.max(
+  ...COLLECTIVEX_VERSIONS,
+) as CollectiveXVersion;
+export const collectiveXVersionLabel = (version: CollectiveXVersion): string => `V${version}`;
+export function parseCollectiveXVersion(raw: string): CollectiveXVersion | null {
+  if (!/^[1-9][0-9]*$/.test(raw)) return null;
+  const value = Number(raw);
+  return (COLLECTIVEX_VERSIONS as readonly number[]).includes(value)
+    ? (value as CollectiveXVersion)
+    : null;
+}
 export type CollectiveXMode = 'normal' | 'low-latency';
 export type CollectiveXTopologyScope = 'scale-up' | 'scale-out';
 export type CollectiveXOperation = 'dispatch' | 'stage' | 'combine' | 'roundtrip' | 'isolated-sum';
diff --git a/packages/app/src/hooks/api/use-collectivex.ts b/packages/app/src/hooks/api/use-collectivex.ts
index 4235a7638..653b8acc0 100644
--- a/packages/app/src/hooks/api/use-collectivex.ts
+++ b/packages/app/src/hooks/api/use-collectivex.ts
@@ -2,11 +2,14 @@ import { useQuery } from '@tanstack/react-query';
 
 import { fetchCollectiveX } from '@/lib/api';
 import type { CollectiveXChannelName } from '@/components/collectivex/reader';
-import type { CollectiveXVersion } from '@/components/collectivex/types';
+import {
+  COLLECTIVEX_DEFAULT_VERSION,
+  type CollectiveXVersion,
+} from '@/components/collectivex/types';
 
 export function useCollectiveX(
   channel: CollectiveXChannelName = 'dev-latest',
-  version: CollectiveXVersion = 'v1',
+  version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
 ) {
   return useQuery({
     queryKey: ['collectivex', version, channel],
diff --git a/packages/app/src/lib/api.test.ts b/packages/app/src/lib/api.test.ts
index e89f2fb75..622344210 100644
--- a/packages/app/src/lib/api.test.ts
+++ b/packages/app/src/lib/api.test.ts
@@ -160,7 +160,7 @@ describe('fetchCollectiveX', () => {
       expect.objectContaining({ cache: 'no-store', credentials: 'same-origin' }),
     );
     expect(mockFetch).toHaveBeenLastCalledWith(
-      `/collectivex-data/v1/datasets/${digest}/dataset.json`,
+      `/collectivex-data/1/datasets/${digest}/dataset.json`,
       expect.objectContaining({ cache: 'force-cache', credentials: 'same-origin' }),
     );
     expect(result.dataset.format).toBe('collectivex.public.v1');
diff --git a/packages/app/src/lib/api.ts b/packages/app/src/lib/api.ts
index 1d9a17fac..b00f18d4b 100644
--- a/packages/app/src/lib/api.ts
+++ b/packages/app/src/lib/api.ts
@@ -7,7 +7,10 @@ import {
   fetchCollectiveXPublication,
   type CollectiveXChannelName,
 } from '@/components/collectivex/reader';
-import type { CollectiveXVersion } from '@/components/collectivex/types';
+import {
+  COLLECTIVEX_DEFAULT_VERSION,
+  type CollectiveXVersion,
+} from '@/components/collectivex/types';
 import type { WorkerPower } from '@/components/inference/types';
 
 import type { SubmissionsResponse } from './submissions-types';
@@ -308,7 +311,7 @@ export function fetchSubmissions(signal?: AbortSignal) {
 export function fetchCollectiveX(
   channel: CollectiveXChannelName = 'dev-latest',
   signal?: AbortSignal,
-  version: CollectiveXVersion = 'v1',
+  version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
 ) {
   return fetchCollectiveXPublication(channel, signal, version);
 }
diff --git a/packages/app/src/lib/collectivex-github.test.ts b/packages/app/src/lib/collectivex-github.test.ts
index e937d0f74..59e39681a 100644
--- a/packages/app/src/lib/collectivex-github.test.ts
+++ b/packages/app/src/lib/collectivex-github.test.ts
@@ -56,7 +56,7 @@ function installGithubResponses(archive: ReturnType<typeof publicationArchive>)
         artifacts: [
           {
             id: 123,
-            name: 'cxpublication-v1-456-1',
+            name: 'cxpublication-1-456-1',
             archive_download_url: 'https://example.test/publication.zip',
             expired: false,
             size_in_bytes: archive.zip.byteLength,
@@ -87,15 +87,15 @@ describe('CollectiveX GitHub publication loader', () => {
     const archive = publicationArchive();
     installGithubResponses(archive);
 
-    const first = await loadCollectiveXPublication('v1');
-    const second = await loadCollectiveXPublication('v1');
+    const first = await loadCollectiveXPublication(1);
+    const second = await loadCollectiveXPublication(1);
 
     expect(first).toMatchObject({
       artifactId: 123,
       digest: archive.digest,
       runId: 456,
       runAttempt: 1,
-      version: 'v1',
+      version: 1,
     });
     expect(Buffer.from(first.body)).toEqual(archive.body);
     expect(first.dataset.promotion.status).toBe('promoted');
@@ -142,7 +142,7 @@ describe('CollectiveX GitHub publication loader', () => {
           artifacts: [
             {
               id: 123,
-              name: 'cxpublication-v1-456-1',
+              name: 'cxpublication-1-456-1',
               archive_download_url: 'https://example.test/publication.zip',
               expired: false,
               size_in_bytes: archive.zip.byteLength,
@@ -156,7 +156,7 @@ describe('CollectiveX GitHub publication loader', () => {
         }),
       );
 
-    await expect(loadCollectiveXPublication('v1')).resolves.toMatchObject({ runId: 456 });
+    await expect(loadCollectiveXPublication(1)).resolves.toMatchObject({ runId: 456 });
     expect(mockFetch.mock.calls[0][0]).toContain('page=1');
     expect(mockFetch.mock.calls[2][0]).toContain('page=2');
   });
@@ -186,13 +186,13 @@ describe('CollectiveX GitHub publication loader', () => {
           artifacts: [
             {
               id: 122,
-              name: 'cxpublication-v1-456-1',
+              name: 'cxpublication-1-456-1',
               archive_download_url: 'https://example.test/stale.zip',
               expired: false,
             },
             {
               id: 123,
-              name: 'cxpublication-v1-456-2',
+              name: 'cxpublication-1-456-2',
               archive_download_url: 'https://example.test/publication.zip',
               expired: false,
               size_in_bytes: archive.zip.byteLength,
@@ -206,7 +206,7 @@ describe('CollectiveX GitHub publication loader', () => {
         }),
       );
 
-    await expect(loadCollectiveXPublication('v1')).resolves.toMatchObject({
+    await expect(loadCollectiveXPublication(1)).resolves.toMatchObject({
       artifactId: 123,
       runAttempt: 2,
     });
@@ -216,9 +216,9 @@ describe('CollectiveX GitHub publication loader', () => {
   it('resolves an immutable digest from the publication cache', async () => {
     const archive = publicationArchive();
     installGithubResponses(archive);
-    await loadCollectiveXPublication('v1');
+    await loadCollectiveXPublication(1);
 
-    await expect(loadCollectiveXPublication('v1', archive.digest)).resolves.toMatchObject({
+    await expect(loadCollectiveXPublication(1, archive.digest)).resolves.toMatchObject({
       digest: archive.digest,
     });
     expect(mockFetch).toHaveBeenCalledTimes(3);
@@ -229,7 +229,7 @@ describe('CollectiveX GitHub publication loader', () => {
     mockFetch.mockResolvedValueOnce(jsonResponse({}, 503));
     installGithubResponses(archive);
 
-    await expect(loadCollectiveXPublication('v1')).resolves.toMatchObject({
+    await expect(loadCollectiveXPublication(1)).resolves.toMatchObject({
       digest: archive.digest,
     });
     expect(mockFetch).toHaveBeenCalledTimes(4);
@@ -238,7 +238,7 @@ describe('CollectiveX GitHub publication loader', () => {
   it('rejects non-promoted and ambiguous publication artifacts', async () => {
     const diagnostic = publicationArchive(makeCollectiveXDiagnosticDataset());
     installGithubResponses(diagnostic);
-    await expect(loadCollectiveXPublication('v1')).rejects.toSatisfy(
+    await expect(loadCollectiveXPublication(1)).rejects.toSatisfy(
       (error: unknown) => collectiveXPublicationErrorCode(error) === 'invalid',
     );
 
@@ -246,7 +246,7 @@ describe('CollectiveX GitHub publication loader', () => {
     mockFetch.mockReset();
     const ambiguous = publicationArchive(makeCollectiveXDataset(), true);
     installGithubResponses(ambiguous);
-    await expect(loadCollectiveXPublication('v1')).rejects.toSatisfy(
+    await expect(loadCollectiveXPublication(1)).rejects.toSatisfy(
       (error: unknown) => collectiveXPublicationErrorCode(error) === 'invalid',
     );
   });
@@ -254,7 +254,7 @@ describe('CollectiveX GitHub publication loader', () => {
   it('fails as unavailable without a server-side GitHub token', async () => {
     delete process.env.GITHUB_TOKEN;
 
-    await expect(loadCollectiveXPublication('v1')).rejects.toSatisfy(
+    await expect(loadCollectiveXPublication(1)).rejects.toSatisfy(
       (error: unknown) => collectiveXPublicationErrorCode(error) === 'unavailable',
     );
     expect(mockFetch).not.toHaveBeenCalled();
diff --git a/packages/app/src/lib/collectivex-github.ts b/packages/app/src/lib/collectivex-github.ts
index c60c5ceab..4aafbdf68 100644
--- a/packages/app/src/lib/collectivex-github.ts
+++ b/packages/app/src/lib/collectivex-github.ts
@@ -12,8 +12,10 @@ const WORKFLOW_PATH = '.github/workflows/collectivex-sweep.yml';
 const WORKFLOW_FILE = 'collectivex-sweep.yml';
 const WORKFLOW_NAME = 'CollectiveX Sweep';
 const RUNS_PER_PAGE = 100;
+// Keyed by the numeric release version. The filename regex keeps the frozen
+// data-format literal `collectivex_public_v1_` (schema-version, not the release).
 const PUBLICATION_POLICY: Record<CollectiveXVersion, { file: RegExp }> = {
-  v1: {
+  1: {
     file: /^collectivex_public_v1_(?<digest>[a-f0-9]{64})\.ndjson$/,
   },
 };

From 8e3f5d25dc36f46ccad83c7f7c7b4bac77d39217 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Tue, 7 Jul 2026 22:42:42 +0800
Subject: [PATCH 06/37] feat(collectivex): JIT multi-run picker + numeric
 version selection

Add a run picker that lists eligible (tag + success) publication runs for a
release version on demand and lets the operator pin the view to any one run's
promoted dataset, alongside the numeric version dropdown.

- types: collectivex.runs.v1 listing schema (frozen data-format literal) and
  optional partial-coverage promotion fields (coverage_scope, covered_skus)
- reader: parseCollectiveXRuns, fetchCollectiveXRuns, and fetchCollectiveXByDigest
  (content-hash-verified, promoted-only, synthesizes the channel pointer)
- backend: /collectivex-data/<version>/runs.json enumerates candidates via
  listCollectiveXPublications with a 60s edge cache
- hooks/api: useCollectiveXRuns (gated behind Load runs) + useCollectiveXRun
- UI: Run control (Load runs then select), version dropdown, and an error-card
  fallback to the latest published channel

Full and partial coverage both parse; pre-partial datasets remain valid.
---
 .../app/collectivex-data/[...path]/route.ts   |  35 ++++-
 .../collectivex/CollectiveXDisplay.tsx        | 131 ++++++++++++++++-
 .../src/components/collectivex/reader.test.ts | 138 ++++++++++++++++++
 .../app/src/components/collectivex/reader.ts  |  83 +++++++++++
 .../app/src/components/collectivex/types.ts   |  27 ++++
 packages/app/src/hooks/api/use-collectivex.ts |  35 ++++-
 packages/app/src/lib/api.ts                   |  19 +++
 packages/app/src/lib/collectivex-github.ts    |  76 ++++++++++
 8 files changed, 537 insertions(+), 7 deletions(-)

diff --git a/packages/app/src/app/collectivex-data/[...path]/route.ts b/packages/app/src/app/collectivex-data/[...path]/route.ts
index 17bc38c52..617fb08fb 100644
--- a/packages/app/src/app/collectivex-data/[...path]/route.ts
+++ b/packages/app/src/app/collectivex-data/[...path]/route.ts
@@ -1,5 +1,6 @@
 import {
   collectiveXPublicationErrorCode,
+  listCollectiveXPublications,
   loadCollectiveXPublication,
 } from '@/lib/collectivex-github';
 import { COLLECTIVEX_VERSIONS, parseCollectiveXVersion } from '@/components/collectivex/types';
@@ -12,6 +13,7 @@ const CHANNEL = new RegExp(`^(?<version>${VERSION_PATTERN})/channels/dev-latest\
 const DATASET = new RegExp(
   `^(?<version>${VERSION_PATTERN})/datasets/(?<digest>[a-f0-9]{64})/dataset\\.json$`,
 );
+const RUNS = new RegExp(`^(?<version>${VERSION_PATTERN})/runs\\.json$`);
 
 type AvailabilityStatus = 'channel-unavailable' | 'source-unavailable';
 
@@ -37,13 +39,42 @@ export async function GET(_request: Request, context: { params: Promise<{ path:
   const relative = parameters.path.join('/');
   const channel = CHANNEL.exec(relative);
   const dataset = DATASET.exec(relative);
-  if (!channel && !dataset) return unavailable(404);
+  const runs = RUNS.exec(relative);
+  if (!channel && !dataset && !runs) return unavailable(404);
 
   const version = parseCollectiveXVersion(
-    channel?.groups?.version ?? dataset?.groups?.version ?? '',
+    channel?.groups?.version ?? dataset?.groups?.version ?? runs?.groups?.version ?? '',
   );
   if (!version) return unavailable(404);
 
+  if (runs) {
+    try {
+      const listing = await listCollectiveXPublications(version);
+      return json(
+        `${JSON.stringify({
+          format: 'collectivex.runs.v1',
+          version,
+          runs: listing.map((run) => ({
+            run_id: String(run.runId),
+            run_attempt: run.runAttempt,
+            head_sha: run.headSha,
+            digest: run.digest,
+            generated_at: run.generatedAt,
+            coverage_scope: run.coverageScope,
+            covered_skus: run.coveredSkus,
+            bytes: run.bytes,
+          })),
+        })}\n`,
+        'public, s-maxage=60, stale-while-revalidate=300',
+      );
+    } catch (error) {
+      const code = collectiveXPublicationErrorCode(error);
+      if (code === 'not-found') return unavailable(404, 'channel-unavailable');
+      if (code === 'unavailable') return unavailable(503, 'source-unavailable');
+      return unavailable(502);
+    }
+  }
+
   try {
     const publication = await loadCollectiveXPublication(version, dataset?.groups?.digest);
     if (dataset) {
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index 4e0f75c24..580bae829 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -17,7 +17,7 @@ import {
   SelectValue,
 } from '@/components/ui/select';
 import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
-import { useCollectiveX } from '@/hooks/api/use-collectivex';
+import { useCollectiveX, useCollectiveXRun, useCollectiveXRuns } from '@/hooks/api/use-collectivex';
 import { useThemeColors } from '@/hooks/useThemeColors';
 import { track } from '@/lib/analytics';
 import { useLocale } from '@/lib/use-locale';
@@ -134,6 +134,12 @@ const STRINGS = {
     publishedUtc: 'Published (UTC)',
     publication: 'Publication',
     version: 'Benchmark version',
+    runControl: 'Run',
+    loadRuns: 'Load runs',
+    loadingRuns: 'Loading runs…',
+    latestPublished: 'Latest published',
+    coverageFull: 'Full',
+    coveragePartial: 'Partial',
     evidence: 'Evidence',
     evidenceAria: 'CollectiveX evidence scope',
     modeControl: 'Mode',
@@ -284,6 +290,14 @@ const STRINGS = {
     publishedUtc: '发布时间（UTC）',
     publication: '发布数据',
     version: '基准版本',
+    // English-only per the repository's temporary language override (no new
+    // Chinese text); these mirror the en values until the override is lifted.
+    runControl: 'Run',
+    loadRuns: 'Load runs',
+    loadingRuns: 'Loading runs…',
+    latestPublished: 'Latest published',
+    coverageFull: 'Full',
+    coveragePartial: 'Partial',
     evidence: '证据范围',
     evidenceAria: 'CollectiveX 证据范围',
     modeControl: '模式',
@@ -439,7 +453,18 @@ export default function CollectiveXDisplay() {
   const locale = useLocale();
   const t = STRINGS[locale];
   const [version, setVersion] = useState<CollectiveXVersion>(COLLECTIVEX_DEFAULT_VERSION);
-  const { data, error, isLoading, isFetching, refetch } = useCollectiveX('dev-latest', version);
+  // JIT run picker: `runsRequested` gates the eligible-run listing behind the
+  // "Load runs" button; `selectedDigest` (null = the dev-latest channel) pins
+  // the view to one specific published run's dataset.
+  const [runsRequested, setRunsRequested] = useState(false);
+  const [selectedDigest, setSelectedDigest] = useState<string | null>(null);
+  const channelQuery = useCollectiveX('dev-latest', version);
+  const runsQuery = useCollectiveXRuns(version, runsRequested);
+  const runQuery = useCollectiveXRun(version, selectedDigest);
+  // A pinned run overrides the dev-latest channel; both resolve to the same
+  // { channel, dataset, digest } shape the rest of the view consumes.
+  const activeQuery = selectedDigest === null ? channelQuery : runQuery;
+  const { data, error, isLoading, isFetching } = activeQuery;
   const [tab, setTab] = useState<CollectiveXTab>('results');
   const [evidenceScope, setEvidenceScope] = useState<EvidenceScope>('controlled');
   const [mode, setMode] = useState<CollectiveXMode>('normal');
@@ -495,6 +520,38 @@ export default function CollectiveXDisplay() {
     value,
     label: collectiveXVersionLabel(value),
   }));
+  const runList = runsQuery.data ?? [];
+  const runOptions: SelectOption<string>[] = useMemo(
+    () => [
+      { value: 'latest', label: t.latestPublished },
+      ...runList.map((run) => ({
+        value: run.digest,
+        label: `#${run.run_id} · ${
+          run.coverage_scope === 'partial'
+            ? `${t.coveragePartial} · ${run.covered_skus.length} SKU`
+            : t.coverageFull
+        } · ${formatDate(run.generated_at, locale)}`,
+      })),
+    ],
+    [locale, runList, t.coverageFull, t.coveragePartial, t.latestPublished],
+  );
+  // Runs are per-version; changing the version drops any pinned run and folds
+  // the picker back to its JIT button.
+  useEffect(() => {
+    setSelectedDigest(null);
+    setRunsRequested(false);
+  }, [version]);
+  // If a refreshed listing no longer carries the pinned run, fall back to the
+  // dev-latest channel rather than a dangling digest.
+  useEffect(() => {
+    if (
+      selectedDigest !== null &&
+      runsQuery.data &&
+      !runsQuery.data.some((run) => run.digest === selectedDigest)
+    ) {
+      setSelectedDigest(null);
+    }
+  }, [runsQuery.data, selectedDigest]);
   const tabOptions: { value: CollectiveXTab; label: string }[] = [
     { value: 'results', label: t.tabs.results },
     { value: 'decisions', label: t.tabs.decisions },
@@ -790,8 +847,9 @@ export default function CollectiveXDisplay() {
 
   const handleRefresh = useCallback(() => {
     track('collectivex_data_refreshed');
-    void refetch();
-  }, [refetch]);
+    void activeQuery.refetch();
+    if (runsRequested) void runsQuery.refetch();
+  }, [activeQuery, runsQuery, runsRequested]);
   const handleTab = useCallback((value: string) => {
     const next = value as CollectiveXTab;
     setTab(next);
@@ -842,6 +900,15 @@ export default function CollectiveXDisplay() {
               onChange={setVersion}
             />
           </div>
+          {selectedDigest !== null && (
+            <Button
+              variant="outline"
+              data-testid="collectivex-error-latest"
+              onClick={() => setSelectedDigest(null)}
+            >
+              {t.latestPublished}
+            </Button>
+          )}
           <Button variant="outline" onClick={handleRefresh}>
             <RefreshCw className="size-4" />
             {t.retry}
@@ -948,6 +1015,62 @@ export default function CollectiveXDisplay() {
               track('collectivex_version_changed', { version: value });
             }}
           />
+          <ControlGroup label={t.runControl}>
+            {runsRequested ? (
+              runsQuery.isLoading ? (
+                <Button
+                  variant="outline"
+                  className="w-full justify-center"
+                  disabled
+                  data-testid="collectivex-runs-loading"
+                >
+                  <Loader2 className="size-4 animate-spin" />
+                  {t.loadingRuns}
+                </Button>
+              ) : runsQuery.error || !runsQuery.data ? (
+                <Button
+                  variant="outline"
+                  className="w-full justify-center"
+                  data-testid="collectivex-runs-retry"
+                  onClick={() => void runsQuery.refetch()}
+                >
+                  <RefreshCw className="size-4" />
+                  {t.retry}
+                </Button>
+              ) : (
+                <Select
+                  value={selectedDigest ?? 'latest'}
+                  onValueChange={(next) => {
+                    setSelectedDigest(next === 'latest' ? null : next);
+                    track('collectivex_run_selected', { version, run: next });
+                  }}
+                >
+                  <SelectTrigger data-testid="collectivex-run-select" className="min-w-0 w-full">
+                    <SelectValue />
+                  </SelectTrigger>
+                  <SelectContent>
+                    {runOptions.map((item) => (
+                      <SelectItem key={item.value} value={item.value}>
+                        {item.label}
+                      </SelectItem>
+                    ))}
+                  </SelectContent>
+                </Select>
+              )
+            ) : (
+              <Button
+                variant="outline"
+                className="w-full justify-center"
+                data-testid="collectivex-load-runs"
+                onClick={() => {
+                  setRunsRequested(true);
+                  track('collectivex_runs_requested', { version });
+                }}
+              >
+                {t.loadRuns}
+              </Button>
+            )}
+          </ControlGroup>
           <ControlGroup label={t.evidence}>
             <SegmentedToggle
               value={evidenceScope}
diff --git a/packages/app/src/components/collectivex/reader.test.ts b/packages/app/src/components/collectivex/reader.test.ts
index 0f0e5febd..43df3a0ad 100644
--- a/packages/app/src/components/collectivex/reader.test.ts
+++ b/packages/app/src/components/collectivex/reader.test.ts
@@ -2,9 +2,14 @@ import { beforeEach, describe, expect, it, vi } from 'vitest';
 
 import {
   collectiveXChannelUrl,
+  collectiveXDatasetUrl,
+  collectiveXRunsUrl,
+  fetchCollectiveXByDigest,
   fetchCollectiveXPublication,
+  fetchCollectiveXRuns,
   parseCollectiveXChannel,
   parseCollectiveXDataset,
+  parseCollectiveXRuns,
   sha256Hex,
 } from './reader';
 import {
@@ -645,6 +650,139 @@ describe('CollectiveX publication reader', () => {
   });
 });
 
+const runSummary = (overrides: Record<string, unknown> = {}) => ({
+  run_id: '28874233148',
+  run_attempt: 1,
+  head_sha: 'a'.repeat(40),
+  digest: 'b'.repeat(64),
+  generated_at: '2026-07-07T01:00:00Z',
+  coverage_scope: 'full',
+  covered_skus: ['gb200', 'h100'],
+  bytes: 4096,
+  ...overrides,
+});
+const runsDoc = (runs: unknown[], version = 1) => ({
+  format: 'collectivex.runs.v1',
+  version,
+  runs,
+});
+
+describe('CollectiveX run picker (JIT publications)', () => {
+  it('parses a well-formed runs listing', () => {
+    const parsed = parseCollectiveXRuns(runsDoc([runSummary()]), 1);
+    expect(parsed.runs).toHaveLength(1);
+    expect(parsed.runs[0].run_id).toBe('28874233148');
+  });
+
+  it('rejects a version mismatch, duplicate runs, and empty partial coverage', () => {
+    expect(() => parseCollectiveXRuns(runsDoc([runSummary()], 2), 1)).toThrow(
+      'does not match the requested version',
+    );
+    expect(() => parseCollectiveXRuns(runsDoc([runSummary(), runSummary()]), 1)).toThrow(
+      'duplicate run',
+    );
+    expect(() =>
+      parseCollectiveXRuns(
+        runsDoc([runSummary({ coverage_scope: 'partial', covered_skus: [] })]),
+        1,
+      ),
+    ).toThrow('partial coverage with no SKUs');
+  });
+
+  it('fetches the eligible-run listing with a no-store cache', async () => {
+    mockFetch.mockResolvedValueOnce({
+      ok: true,
+      text: () =>
+        Promise.resolve(
+          JSON.stringify(
+            runsDoc([
+              runSummary(),
+              runSummary({
+                run_id: '28800000001',
+                digest: 'c'.repeat(64),
+                coverage_scope: 'partial',
+                covered_skus: ['gb200', 'gb300', 'h100', 'h200', 'mi300x', 'mi355x'],
+              }),
+            ]),
+          ),
+        ),
+    });
+    const runs = await fetchCollectiveXRuns(1);
+    expect(runs.map((run) => run.run_id)).toEqual(['28874233148', '28800000001']);
+    expect(runs[1].coverage_scope).toBe('partial');
+    expect(mockFetch).toHaveBeenNthCalledWith(
+      1,
+      collectiveXRunsUrl(1),
+      expect.objectContaining({ cache: 'no-store', credentials: 'same-origin' }),
+    );
+  });
+
+  it('maps run-listing availability failures like the channel', async () => {
+    mockFetch.mockResolvedValueOnce({ ok: false, status: 503, headers: new Headers() });
+    await expect(fetchCollectiveXRuns(1)).rejects.toMatchObject({
+      availabilityReason: 'source-unavailable',
+    });
+
+    mockFetch.mockReset();
+    mockFetch.mockResolvedValueOnce({
+      ok: false,
+      status: 404,
+      headers: new Headers({ 'X-CollectiveX-Status': 'channel-unavailable' }),
+    });
+    await expect(fetchCollectiveXRuns(1)).rejects.toMatchObject({
+      availabilityReason: 'channel-unavailable',
+    });
+  });
+
+  it('resolves a pinned run by digest and verifies its content hash', async () => {
+    const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDataset()));
+    const digest = await sha256Hex(bytes);
+    mockFetch.mockResolvedValueOnce({
+      ok: true,
+      arrayBuffer: () => Promise.resolve(bytes.buffer),
+    });
+    const result = await fetchCollectiveXByDigest(1, digest);
+    expect(result.digest).toBe(digest);
+    expect(result.channel.channel).toBe('dev-latest');
+    expect(result.channel.dataset.sha256).toBe(digest);
+    expect(mockFetch).toHaveBeenNthCalledWith(
+      1,
+      collectiveXDatasetUrl(1, digest),
+      expect.objectContaining({ cache: 'force-cache', credentials: 'same-origin' }),
+    );
+  });
+
+  it('rejects a malformed digest before fetching', async () => {
+    await expect(fetchCollectiveXByDigest(1, 'not-a-digest')).rejects.toThrow(
+      '64-character SHA-256',
+    );
+    expect(mockFetch).not.toHaveBeenCalled();
+  });
+
+  it('fails closed when the fetched bytes do not hash to the requested digest', async () => {
+    const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDataset()));
+    mockFetch.mockResolvedValueOnce({
+      ok: true,
+      arrayBuffer: () => Promise.resolve(bytes.buffer),
+    });
+    await expect(fetchCollectiveXByDigest(1, 'c'.repeat(64))).rejects.toThrow(
+      'does not match the requested digest',
+    );
+  });
+
+  it('refuses to pin a run whose dataset is not promoted', async () => {
+    const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDiagnosticDataset()));
+    const digest = await sha256Hex(bytes);
+    mockFetch.mockResolvedValueOnce({
+      ok: true,
+      arrayBuffer: () => Promise.resolve(bytes.buffer),
+    });
+    await expect(fetchCollectiveXByDigest(1, digest)).rejects.toThrow(
+      'does not reference a promoted dataset',
+    );
+  });
+});
+
 function mockPublication(
   bytes: Uint8Array<ArrayBuffer>,
   digest: string,
diff --git a/packages/app/src/components/collectivex/reader.ts b/packages/app/src/components/collectivex/reader.ts
index 08008b7e4..9176a7edc 100644
--- a/packages/app/src/components/collectivex/reader.ts
+++ b/packages/app/src/components/collectivex/reader.ts
@@ -5,11 +5,14 @@ import { bytesToHex } from '@noble/hashes/utils.js';
 import {
   collectiveXChannelSchema,
   collectiveXDatasetSchema,
+  collectiveXRunsSchema,
   type CollectiveXChannel,
   type CollectiveXDataset,
   type CollectiveXMetric,
   type CollectiveXPoint,
   type CollectiveXResolvedDataset,
+  type CollectiveXRuns,
+  type CollectiveXRunSummary,
   type CollectiveXSeries,
   type CollectiveXVersion,
   COLLECTIVEX_DEFAULT_VERSION,
@@ -24,6 +27,12 @@ export const collectiveXChannelUrl = (
   version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
 ) => `${collectiveXPublicRoot(version)}channels/${channel}.json`;
 
+export const collectiveXRunsUrl = (version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION) =>
+  `${collectiveXPublicRoot(version)}runs.json`;
+
+export const collectiveXDatasetUrl = (version: CollectiveXVersion, digest: string) =>
+  `${collectiveXPublicRoot(version)}datasets/${digest}/dataset.json`;
+
 export type CollectiveXAvailabilityReason = 'source-unavailable' | 'channel-unavailable';
 
 class CollectiveXDataError extends Error {
@@ -129,6 +138,25 @@ export function parseCollectiveXChannel(value: unknown): CollectiveXChannel {
   return parsed.data;
 }
 
+export function parseCollectiveXRuns(value: unknown, version: CollectiveXVersion): CollectiveXRuns {
+  const parsed = collectiveXRunsSchema.safeParse(value);
+  if (!parsed.success) throw schemaError(parsed.error);
+  if (parsed.data.version !== version) {
+    throw new CollectiveXDataError('$.version does not match the requested version.');
+  }
+  const runIds = new Set<string>();
+  for (const run of parsed.data.runs) {
+    if (runIds.has(run.run_id)) {
+      throw new CollectiveXDataError(`$.runs contains duplicate run ${run.run_id}.`);
+    }
+    runIds.add(run.run_id);
+    if (run.coverage_scope === 'partial' && run.covered_skus.length === 0) {
+      throw new CollectiveXDataError(`run ${run.run_id} claims partial coverage with no SKUs.`);
+    }
+  }
+  return parsed.data;
+}
+
 function uniqueIndex<T>(items: T[], id: (item: T) => string, path: string): Map<string, T> {
   const indexed = new Map<string, T>();
   for (const item of items) {
@@ -805,3 +833,58 @@ export async function fetchCollectiveXPublication(
   }
   return { channel, dataset, digest };
 }
+
+export async function fetchCollectiveXRuns(
+  version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
+  signal?: AbortSignal,
+): Promise<CollectiveXRunSummary[]> {
+  const response = await responseOrThrow(
+    collectiveXRunsUrl(version),
+    { cache: 'no-store', credentials: 'same-origin', signal },
+    'channel',
+  );
+  const runs = parseCollectiveXRuns(strictJson(await response.text(), 'runs'), version);
+  return runs.runs;
+}
+
+export async function fetchCollectiveXByDigest(
+  version: CollectiveXVersion,
+  digest: string,
+  signal?: AbortSignal,
+): Promise<CollectiveXResolvedDataset> {
+  if (!/^[a-f0-9]{64}$/.test(digest)) {
+    throw new CollectiveXDataError('a run digest must be a 64-character SHA-256.');
+  }
+  const datasetResponse = await responseOrThrow(
+    collectiveXDatasetUrl(version, digest),
+    { cache: 'force-cache', credentials: 'same-origin', signal },
+    'dataset',
+  );
+  const bytes = new Uint8Array(await datasetResponse.arrayBuffer());
+  const resolvedDigest = await sha256Hex(bytes);
+  if (resolvedDigest !== digest) {
+    throw new CollectiveXDataError('dataset SHA-256 does not match the requested digest.');
+  }
+
+  let text: string;
+  try {
+    text = new TextDecoder('utf-8', { fatal: true }).decode(bytes);
+  } catch {
+    throw new CollectiveXDataError('dataset is not valid UTF-8 JSON.');
+  }
+  const dataset = parseCollectiveXDataset(strictJson(text, 'dataset'));
+  if (dataset.promotion.status !== 'promoted') {
+    throw new CollectiveXDataError('the selected run does not reference a promoted dataset.');
+  }
+  const channel: CollectiveXChannel = {
+    format: 'collectivex.channel.v1',
+    channel: 'dev-latest',
+    generated_at: dataset.generated_at,
+    dataset: {
+      path: `datasets/${digest}/dataset.json`,
+      sha256: digest,
+      bytes: bytes.byteLength,
+    },
+  };
+  return { channel, dataset, digest };
+}
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
index ef941e4c6..67f5893eb 100644
--- a/packages/app/src/components/collectivex/types.ts
+++ b/packages/app/src/components/collectivex/types.ts
@@ -79,6 +79,27 @@ export const collectiveXChannelSchema = z.strictObject({
   }),
 });
 
+// JIT listing of the eligible ("tagged + success") publication runs for a
+// version, backing the frontend multi-run picker. `collectivex.runs.v1` is a
+// frozen data-format literal (the shared schema-version, not the release).
+export const collectiveXRunSummarySchema = z.strictObject({
+  run_id: z.string().regex(/^[1-9][0-9]*$/),
+  run_attempt: positiveInteger,
+  head_sha: z.string().regex(/^[a-f0-9]{40}$/),
+  digest: hex64,
+  generated_at: timestamp,
+  coverage_scope: z.enum(['full', 'partial']),
+  covered_skus: unique(safeId),
+  bytes: positiveInteger.max(32 * 1024 * 1024),
+});
+export const collectiveXRunsSchema = z.strictObject({
+  format: z.literal('collectivex.runs.v1'),
+  version: positiveInteger,
+  runs: z.array(collectiveXRunSummarySchema),
+});
+export type CollectiveXRunSummary = z.infer<typeof collectiveXRunSummarySchema>;
+export type CollectiveXRuns = z.infer<typeof collectiveXRunsSchema>;
+
 const percentilesSchema = z.strictObject({
   p50: z.number().finite().positive(),
   p90: z.number().finite().positive(),
@@ -567,6 +588,12 @@ export const collectiveXDatasetSchema = z.strictObject({
     measured_points: nonnegativeInteger,
     unsupported_points: nonnegativeInteger,
     policy: z.literal('collectivex-decision-grade-v1'),
+    // Partial-coverage promotion ("tagged + success" over a SKU subset). Both are
+    // emitted by the publisher for full and partial runs alike; a full run reports
+    // coverage_scope 'full' with every canonical SKU. Optional so pre-partial
+    // datasets still parse.
+    coverage_scope: z.enum(['full', 'partial']).optional(),
+    covered_skus: unique(safeId).optional(),
   }),
   coverage: z.array(coverageSchema),
   attempts: z.array(attemptSchema),
diff --git a/packages/app/src/hooks/api/use-collectivex.ts b/packages/app/src/hooks/api/use-collectivex.ts
index 653b8acc0..b43ab81e5 100644
--- a/packages/app/src/hooks/api/use-collectivex.ts
+++ b/packages/app/src/hooks/api/use-collectivex.ts
@@ -1,6 +1,6 @@
 import { useQuery } from '@tanstack/react-query';
 
-import { fetchCollectiveX } from '@/lib/api';
+import { fetchCollectiveX, fetchCollectiveXRun, fetchCollectiveXRunList } from '@/lib/api';
 import type { CollectiveXChannelName } from '@/components/collectivex/reader';
 import {
   COLLECTIVEX_DEFAULT_VERSION,
@@ -18,3 +18,36 @@ export function useCollectiveX(
     refetchOnMount: 'always',
   });
 }
+
+/**
+ * JIT list of eligible ("tagged + success") publication runs for a version,
+ * backing the run picker. `enabled` gates the fetch so the list is only pulled
+ * when the user asks for it (the "Load runs" button); refetched on mount so a
+ * reopened picker reflects newly autopublished runs without a hard reload.
+ */
+export function useCollectiveXRuns(
+  version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
+  enabled = true,
+) {
+  return useQuery({
+    queryKey: ['collectivex-runs', version],
+    queryFn: ({ signal }) => fetchCollectiveXRunList(version, signal),
+    enabled,
+    staleTime: 0,
+    refetchOnMount: 'always',
+  });
+}
+
+/**
+ * Resolve one selected run's promoted dataset by digest. `enabled` gates the
+ * fetch so the picker only loads a run once the user selects a non-default one;
+ * the default view keeps using the dev-latest channel via {@link useCollectiveX}.
+ */
+export function useCollectiveXRun(version: CollectiveXVersion, digest: string | null) {
+  return useQuery({
+    queryKey: ['collectivex-run', version, digest],
+    queryFn: ({ signal }) => fetchCollectiveXRun(version, digest!, signal),
+    enabled: digest !== null,
+    staleTime: Infinity,
+  });
+}
diff --git a/packages/app/src/lib/api.ts b/packages/app/src/lib/api.ts
index b00f18d4b..d8e306537 100644
--- a/packages/app/src/lib/api.ts
+++ b/packages/app/src/lib/api.ts
@@ -4,7 +4,9 @@
  */
 
 import {
+  fetchCollectiveXByDigest,
   fetchCollectiveXPublication,
+  fetchCollectiveXRuns,
   type CollectiveXChannelName,
 } from '@/components/collectivex/reader';
 import {
@@ -316,6 +318,23 @@ export function fetchCollectiveX(
   return fetchCollectiveXPublication(channel, signal, version);
 }
 
+/** JIT list of eligible ("tagged + success") publication runs for a version. */
+export function fetchCollectiveXRunList(
+  version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
+  signal?: AbortSignal,
+) {
+  return fetchCollectiveXRuns(version, signal);
+}
+
+/** Resolve a specific run's promoted dataset by its content digest. */
+export function fetchCollectiveXRun(
+  version: CollectiveXVersion,
+  digest: string,
+  signal?: AbortSignal,
+) {
+  return fetchCollectiveXByDigest(version, digest, signal);
+}
+
 export interface FeedbackListRow {
   id: string;
   created_at: string;
diff --git a/packages/app/src/lib/collectivex-github.ts b/packages/app/src/lib/collectivex-github.ts
index 4aafbdf68..d3c88ab11 100644
--- a/packages/app/src/lib/collectivex-github.ts
+++ b/packages/app/src/lib/collectivex-github.ts
@@ -62,6 +62,27 @@ export interface CollectiveXGithubPublication {
   version: CollectiveXVersion;
 }
 
+/**
+ * Lightweight descriptor of one eligible ("tagged + success") publication run —
+ * enough for the frontend JIT picker to list runs and let the operator select
+ * which one to display, without eagerly loading every dataset into the client.
+ */
+export interface CollectiveXPublicationRun {
+  version: CollectiveXVersion;
+  runId: number;
+  runAttempt: number;
+  headSha: string;
+  digest: string;
+  generatedAt: string;
+  coverageScope: 'full' | 'partial';
+  coveredSkus: string[];
+  bytes: number;
+}
+
+// A version accumulates independent runs over time; the picker only needs a
+// recent window. Bounds the JIT fan-out (one artifact download per eligible run).
+const MAX_LISTED_RUNS = 40;
+
 class CollectiveXPublicationError extends Error {
   readonly code: PublicationErrorCode;
 
@@ -84,6 +105,10 @@ const latestCache = new Map<
   CollectiveXVersion,
   { expiresAt: number; promise: Promise<CollectiveXGithubPublication> }
 >();
+const runsCache = new Map<
+  CollectiveXVersion,
+  { expiresAt: number; promise: Promise<CollectiveXPublicationRun[]> }
+>();
 
 function githubHeaders(token: string) {
   return {
@@ -350,7 +375,58 @@ export function loadCollectiveXPublication(
   return promise;
 }
 
+async function fetchPublicationRuns(
+  version: CollectiveXVersion,
+): Promise<CollectiveXPublicationRun[]> {
+  const token = process.env.GITHUB_TOKEN;
+  if (!token) {
+    throw new CollectiveXPublicationError('unavailable', 'GITHUB_TOKEN is not configured');
+  }
+  const runs: CollectiveXPublicationRun[] = [];
+  for await (const candidate of publicationCandidates(version, token)) {
+    const publication = await downloadPublication(version, candidate, token);
+    digestCache.set(`${version}:${publication.digest}`, {
+      expiresAt: Date.now() + DIGEST_TTL_MS,
+      publication,
+    });
+    const promotion = publication.dataset.promotion;
+    runs.push({
+      version,
+      runId: publication.runId,
+      runAttempt: publication.runAttempt,
+      headSha: candidate.run.head_sha,
+      digest: publication.digest,
+      generatedAt: publication.dataset.generated_at,
+      coverageScope: promotion.coverage_scope ?? 'full',
+      coveredSkus:
+        promotion.covered_skus ??
+        [...new Set(publication.dataset.coverage.map((item) => item.sku))].toSorted(),
+      bytes: publication.body.byteLength,
+    });
+    if (runs.length >= MAX_LISTED_RUNS) break;
+  }
+  // Most recent first — the GitHub runs feed is already newest-first, but a run
+  // may re-emit a prior digest; de-duplicate on runId keeping the first (newest).
+  const seen = new Set<number>();
+  return runs.filter((run) => (seen.has(run.runId) ? false : (seen.add(run.runId), true)));
+}
+
+export function listCollectiveXPublications(
+  version: CollectiveXVersion,
+): Promise<CollectiveXPublicationRun[]> {
+  const now = Date.now();
+  const cached = runsCache.get(version);
+  if (cached && cached.expiresAt > now) return cached.promise;
+  const promise = fetchPublicationRuns(version).catch((error) => {
+    runsCache.delete(version);
+    throw error;
+  });
+  runsCache.set(version, { expiresAt: now + LATEST_TTL_MS, promise });
+  return promise;
+}
+
 export function clearCollectiveXPublicationCache(): void {
   digestCache.clear();
   latestCache.clear();
+  runsCache.clear();
 }

From 77e7d2b88db13df1d21b6a10abe6a79413848613 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 8 Jul 2026 00:53:58 +0800
Subject: [PATCH 07/37] collectivex: accept single-run dataset and reveal
 per-series diagnostic reasons

Align the frontend consumer with the single-run publisher:

- types.ts: trial_count 192 -> 64 (single allocation, 64 trials); admit
  0.0 data-rate percentiles for host-staging components that spend real
  latency moving zero logical bytes, while keeping latency strictly
  positive.
- test-fixture.ts: trial_count 192 -> 64 across trial diagnostics.
- reader.test.ts: cover the zero-byte / zero-rate host-staging component
  and assert negative rate and zero latency are still rejected.
- CollectiveXDisplay.tsx: in free-form diagnostics mode (no cohort
  pinned), surface the distinct eligibility reasons across the revealed
  series so a flagged series explains itself without pinning a cohort.
- collectivex.cy.ts: new e2e for the per-series reason line; realign six
  stale assertions to the single-run shape (64 trials, 1 allocation,
  8 attempts, single source bundle, no cross-allocation stability).
---
 packages/app/cypress/e2e/collectivex.cy.ts    | 49 ++++++++++++++-----
 .../collectivex/CollectiveXDisplay.tsx        | 25 ++++++++++
 .../src/components/collectivex/reader.test.ts | 31 ++++++++++++
 .../components/collectivex/test-fixture.ts    |  8 +--
 .../app/src/components/collectivex/types.ts   | 15 ++++--
 5 files changed, 109 insertions(+), 19 deletions(-)

diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index a3d3f028e..2f32fff7a 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -209,7 +209,7 @@ describe('CollectiveX native publication', () => {
       .and('contain.text', '1/1 qualification run')
       .and('contain.text', 'Semantic pass')
       .and('contain.text', 'Trial diagnostics')
-      .and('contain.text', '192 trials')
+      .and('contain.text', '64 trials')
       .and('contain.text', 'No trial flags')
       .and('contain.text', 'none declared');
   });
@@ -296,7 +296,6 @@ describe('CollectiveX native publication', () => {
       .and('contain.text', '后端实现')
       .and('contain.text', '64 次试验 × 8 次迭代 = 每个分项 512 个样本')
       .and('contain.text', '32 次同步完整往返预热')
-      .and('contain.text', 'p50 1.050 倍 ≤ 1.10 倍')
       .and('contain.text', '排名顺序稳定')
       .and('contain.text', '已通过');
     cy.get('[data-testid="collectivex-recommendations"]')
@@ -569,7 +568,7 @@ describe('CollectiveX native publication', () => {
     cy.get('[data-testid="collectivex-attempts-table"] input').type('选择');
     cy.get('[data-testid="collectivex-attempts-table"]')
       .find('[data-testid="data-table-pagination-summary"]')
-      .should('have.text', '第 1–24 行，共 24 行（筛选自 24 行）');
+      .should('have.text', '第 1–8 行，共 8 行（筛选自 8 行）');
     cy.document()
       .its('documentElement')
       .should((element) => {
@@ -601,15 +600,44 @@ describe('CollectiveX native publication', () => {
     cy.get('[data-testid="collectivex-cohort-select"]').click();
     cy.contains('[role="option"]', 'H100 EP8 library comparison').click();
 
-    cy.get('[data-testid="collectivex-diagnostic-cohort-reasons"]')
-      .should('contain.text', 'unstable-ordering')
-      .and('contain.text', 'p50 1.050x')
-      .and('contain.text', 'p99 1.100x');
+    cy.get('[data-testid="collectivex-diagnostic-cohort-reasons"]').should(
+      'contain.text',
+      'unstable-ordering',
+    );
     cy.get('[data-testid="collectivex-main-chart"]')
       .should('contain.text', 'H100 EP8 · deepep')
       .and('contain.text', 'H100 EP8 · mori');
   });
 
+  it('shows why individual series were flagged when no cohort is pinned', () => {
+    const contract = makeCollectiveXContractDataset();
+    const lowLatency = contract.series.find((item) => item.mode === 'low-latency')!;
+    lowLatency.status = 'diagnostic';
+    lowLatency.eligibility = {
+      ...lowLatency.eligibility,
+      decision_grade: false,
+      reasons: ['not-in-controlled-cohort'],
+    };
+    installPublication(contract);
+    cy.reload();
+    cy.wait('@collectivexChannel-dev-latest');
+
+    cy.get('[data-testid="collectivex-scope-toggle"]').contains('button', 'Diagnostics').click();
+    cy.get('[data-testid="collectivex-mode-select"]').contains('button', 'Low latency').click();
+    cy.get('[data-testid="collectivex-ep-select"]').click();
+    cy.contains('[role="option"]', 'EP16').click();
+    cy.get('[data-testid="collectivex-fabric-scope-toggle"]')
+      .contains('button', 'Scale-out')
+      .click();
+
+    // No cohort selected: the per-series reason line reveals why the shown
+    // series is diagnostic, without needing to pin a cohort first.
+    cy.get('[data-testid="collectivex-diagnostic-cohort-reasons"]').should('not.exist');
+    cy.get('[data-testid="collectivex-diagnostic-series-reasons"]')
+      .should('be.visible')
+      .and('contain.text', 'not-in-controlled-cohort');
+  });
+
   it('keeps the version selector available when no promotion exists', () => {
     cy.intercept('GET', channelUrl, {
       statusCode: 404,
@@ -649,7 +677,7 @@ describe('CollectiveX native publication', () => {
     cy.contains('[role="tab"]', 'Decisions').click();
 
     cy.get('[data-testid="collectivex-rankings"]')
-      .should('contain.text', '3 allocations')
+      .should('contain.text', '1 allocations')
       .and('contain.text', 'deepep')
       .and('contain.text', 'build dddddddd')
       .and('contain.text', 'series 00000001')
@@ -682,7 +710,6 @@ describe('CollectiveX native publication', () => {
       .and('contain.text', 'Backend implementation')
       .and('contain.text', '64 trials × 8 iterations = 512 samples per component')
       .and('contain.text', '32 synchronized round-trip warmups')
-      .and('contain.text', 'p99 1.100x ≤ 1.25x')
       .and('contain.text', 'Stable ordering')
       .and('contain.text', 'passed');
 
@@ -721,9 +748,7 @@ describe('CollectiveX native publication', () => {
       .and('contain.text', 'success');
     cy.get('[data-testid="collectivex-provenance"]')
       .should('contain.text', 'Source bundles')
-      .and('contain.text', 'a'.repeat(64))
-      .and('contain.text', 'b'.repeat(64))
-      .and('contain.text', 'c'.repeat(64));
+      .and('contain.text', 'a'.repeat(64));
     cy.get('[data-testid="collectivex-attempts-table"]')
       .should('contain.text', 'allocation selection')
       .and('contain.text', 'terminal selection')
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index 580bae829..ea3f49d50 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -809,6 +809,17 @@ export default function CollectiveXDisplay() {
     () => (evidenceScope === 'diagnostic' ? comparisonDifferences(activeSeries) : []),
     [activeSeries, evidenceScope],
   );
+  // In free-form "all diagnostics" mode (no cohort pinned) the per-cohort reason
+  // line does not apply, so surface why the revealed series were flagged: the
+  // distinct eligibility reasons across the active diagnostic series. Series that
+  // are decision-grade cohort members carry no reasons and drop out.
+  const diagnosticSeriesReasons = useMemo(
+    () =>
+      evidenceScope !== 'diagnostic' || selectedDiagnosticCohort
+        ? []
+        : [...new Set(activeSeries.flatMap((item) => item.eligibility.reasons))].toSorted(),
+    [activeSeries, evidenceScope, selectedDiagnosticCohort],
+  );
   const missingComponents = activeSeries.some((item) =>
     item.points.some((point) =>
       operation === 'isolated-sum'
@@ -1388,6 +1399,20 @@ export default function CollectiveXDisplay() {
                 .
               </p>
             )}
+            {evidenceScope === 'diagnostic' &&
+              !selectedDiagnosticCohort &&
+              diagnosticSeriesReasons.length > 0 && (
+                <p
+                  data-testid="collectivex-diagnostic-series-reasons"
+                  className="mt-2 text-xs text-muted-foreground"
+                >
+                  {t.excluded}:{' '}
+                  {diagnosticSeriesReasons
+                    .map((reason) => collectiveXReasonLabel(reason, locale))
+                    .join(', ')}
+                  .
+                </p>
+              )}
             {evidenceScope === 'controlled' && selectedControlledCohort && (
               <p
                 data-testid="collectivex-controlled-stability"
diff --git a/packages/app/src/components/collectivex/reader.test.ts b/packages/app/src/components/collectivex/reader.test.ts
index 43df3a0ad..dfbc1bb2b 100644
--- a/packages/app/src/components/collectivex/reader.test.ts
+++ b/packages/app/src/components/collectivex/reader.test.ts
@@ -54,6 +54,37 @@ describe('CollectiveX publication reader', () => {
     expect(result.series[1].points[0].components.dispatch).toBeNull();
   });
 
+  it('accepts a measured host-staging component with zero logical bytes and zero rate', () => {
+    // A host-staging (`stage`) step can spend real latency moving nothing over
+    // the logical byte accounting (bytes = 0 → rate = 0), e.g. UCCL host-staged
+    // dispatch. The rate percentiles floor at 0 while latency stays positive.
+    const zeroByte = makeCollectiveXDataset();
+    const stage = zeroByte.series[0].points[0].components.stage!;
+    stage.byte_provenance = {
+      accounting_contract: 'activation-data-plus-scales-v1',
+      activation_data_bytes: 0,
+      scale_bytes: 0,
+      total_logical_bytes: 0,
+    };
+    stage.activation_data_rate_gbps_at_latency_percentile = { p50: 0, p90: 0, p95: 0, p99: 0 };
+    stage.total_logical_data_rate_gbps_at_latency_percentile = { p50: 0, p90: 0, p95: 0, p99: 0 };
+    expect(() => parseCollectiveXDataset(zeroByte)).not.toThrow();
+
+    const negativeRate = makeCollectiveXDataset();
+    negativeRate.series[0].points[0].components.stage!.total_logical_data_rate_gbps_at_latency_percentile =
+      { p50: -1, p90: 0, p95: 0, p99: 0 };
+    expect(() => parseCollectiveXDataset(negativeRate)).toThrow();
+
+    const zeroLatency = makeCollectiveXDataset();
+    zeroLatency.series[0].points[0].components.stage!.latency_us = {
+      p50: 0,
+      p90: 0,
+      p95: 0,
+      p99: 0,
+    };
+    expect(() => parseCollectiveXDataset(zeroLatency)).toThrow();
+  });
+
   it('preserves mode, measurement, and topology dimensions from the publisher', () => {
     const result = parseCollectiveXDataset(makeCollectiveXContractDataset());
     const normal = result.series.find((item) => item.mode === 'normal')!;
diff --git a/packages/app/src/components/collectivex/test-fixture.ts b/packages/app/src/components/collectivex/test-fixture.ts
index a5da79c5e..acc7ded20 100644
--- a/packages/app/src/components/collectivex/test-fixture.ts
+++ b/packages/app/src/components/collectivex/test-fixture.ts
@@ -271,7 +271,7 @@ function makeSeries(
                     first_last_median_ratio: 1.02,
                     outlier_flagged: false,
                     robust_outlier_fraction: 0,
-                    trial_count: 192 as const,
+                    trial_count: 64 as const,
                   }
                 : null,
             stage:
@@ -281,7 +281,7 @@ function makeSeries(
                     first_last_median_ratio: 1.01,
                     outlier_flagged: false,
                     robust_outlier_fraction: 0,
-                    trial_count: 192 as const,
+                    trial_count: 64 as const,
                   }
                 : null,
             combine:
@@ -291,7 +291,7 @@ function makeSeries(
                     first_last_median_ratio: 1.03,
                     outlier_flagged: false,
                     robust_outlier_fraction: 0,
-                    trial_count: 192 as const,
+                    trial_count: 64 as const,
                   }
                 : null,
             roundtrip: {
@@ -299,7 +299,7 @@ function makeSeries(
               first_last_median_ratio: 1.04,
               outlier_flagged: false,
               robust_outlier_fraction: 0,
-              trial_count: 192 as const,
+              trial_count: 64 as const,
             },
           },
         },
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
index 67f5893eb..ca5ff3120 100644
--- a/packages/app/src/components/collectivex/types.ts
+++ b/packages/app/src/components/collectivex/types.ts
@@ -106,6 +106,15 @@ const percentilesSchema = z.strictObject({
   p95: z.number().finite().positive(),
   p99: z.number().finite().positive(),
 });
+// Data-rate percentiles admit 0.0: a host-staging component can have real
+// latency while measuring zero logical bytes (rate = bytes / latency = 0).
+// Latency percentiles stay strictly positive.
+const ratePercentilesSchema = z.strictObject({
+  p50: z.number().finite().nonnegative(),
+  p90: z.number().finite().nonnegative(),
+  p95: z.number().finite().nonnegative(),
+  p99: z.number().finite().nonnegative(),
+});
 const communicationAxisSchema = z.strictObject({
   alignment_contract: z.enum([
     'native-bf16-vector-alignment',
@@ -157,8 +166,8 @@ const componentSchema = z
     origin: z.enum(['measured', 'derived']),
     latency_us: percentilesSchema,
     byte_provenance: byteAccountingSchema,
-    activation_data_rate_gbps_at_latency_percentile: percentilesSchema.nullable(),
-    total_logical_data_rate_gbps_at_latency_percentile: percentilesSchema.nullable(),
+    activation_data_rate_gbps_at_latency_percentile: ratePercentilesSchema.nullable(),
+    total_logical_data_rate_gbps_at_latency_percentile: ratePercentilesSchema.nullable(),
     sample_count: positiveInteger.nullable(),
   })
   .superRefine((value, context) => {
@@ -213,7 +222,7 @@ const trialDiagnosticComponentSchema = z.strictObject({
   first_last_median_ratio: z.number().finite().min(1),
   outlier_flagged: z.boolean(),
   robust_outlier_fraction: z.number().finite().min(0).max(1),
-  trial_count: z.literal(192),
+  trial_count: z.literal(64),
 });
 const trialDiagnosticsSchema = z
   .strictObject({

From 4d0bbc78c54c252e6cb8464ad1e2b155f889ba0e Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 8 Jul 2026 01:18:19 +0800
Subject: [PATCH 08/37] fix(collectivex): accept promoted datasets with no
 recommendations
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

A promoted public dataset can legitimately carry rankings and
sensitivities but zero recommendations: recommendations are
unique-p99-latency-winner callouts, and when an official cohort's
candidates fall within the bootstrap equivalence band the winners tie,
so no recommendation is emitted. This is a routine, honest outcome for
single-allocation v1 publications.

The reader's recommendation-coverage check already derives 0 as the
expected count in that case, but the decision-graph gate then rejected
the same dataset for having an empty recommendations array — an internal
contradiction. Require rankings (the decision graph) but not
recommendations. Verified end-to-end against the real published v1
artifact (49 series, 66 rankings, 0 recommendations) and with a new
regression test.
---
 .../src/components/collectivex/reader.test.ts | 38 +++++++++++++++++++
 .../app/src/components/collectivex/reader.ts  | 11 ++++--
 2 files changed, 45 insertions(+), 4 deletions(-)

diff --git a/packages/app/src/components/collectivex/reader.test.ts b/packages/app/src/components/collectivex/reader.test.ts
index dfbc1bb2b..007d83157 100644
--- a/packages/app/src/components/collectivex/reader.test.ts
+++ b/packages/app/src/components/collectivex/reader.test.ts
@@ -495,6 +495,44 @@ describe('CollectiveX publication reader', () => {
     );
   });
 
+  it('accepts a promoted dataset that has rankings but no recommendations', () => {
+    // Recommendations are unique-p99-latency-winner callouts. When every actionable
+    // (official) cohort's candidates fall within the bootstrap equivalence band, the
+    // p99 winners tie and no recommendation is emitted — a routine, honest outcome for
+    // single-allocation publications. Such a dataset still carries a complete decision
+    // graph (rankings + sensitivities) and must be accepted, not rejected.
+    const promotedWithoutRecommendations = makeCollectiveXDataset();
+    const decisionCohort = promotedWithoutRecommendations.cohorts.find(
+      (cohort) => cohort.publication_tier === 'comparable-experimental',
+    );
+    expect(decisionCohort).toBeDefined();
+    const keepId = decisionCohort!.cohort_id;
+    // Retire every official cohort so the only decision-grade cohort is non-official:
+    // it produces rankings but no actionable (recommendation-bearing) metric.
+    for (const cohort of promotedWithoutRecommendations.cohorts) {
+      if (cohort.cohort_id === keepId) continue;
+      cohort.eligibility = {
+        ...cohort.eligibility,
+        decision_grade: false,
+        stable_ordering: false,
+        reasons: ['unstable-ordering'],
+      };
+    }
+    promotedWithoutRecommendations.rankings = promotedWithoutRecommendations.rankings.filter(
+      (ranking) => ranking.cohort_id === keepId,
+    );
+    promotedWithoutRecommendations.recommendations = [];
+    promotedWithoutRecommendations.sensitivities =
+      promotedWithoutRecommendations.sensitivities.filter(
+        (sensitivity) => sensitivity.cohort_id === keepId,
+      );
+    expect(promotedWithoutRecommendations.rankings.length).toBeGreaterThan(0);
+    expect(promotedWithoutRecommendations.promotion.status).toBe('promoted');
+    const parsed = parseCollectiveXDataset(promotedWithoutRecommendations);
+    expect(parsed.recommendations).toHaveLength(0);
+    expect(parsed.rankings.length).toBeGreaterThan(0);
+  });
+
   it('rejects misordered or incomplete publisher decisions', () => {
     const misordered = makeCollectiveXDataset();
     const entries = misordered.rankings[0].entries;
diff --git a/packages/app/src/components/collectivex/reader.ts b/packages/app/src/components/collectivex/reader.ts
index 9176a7edc..484aaf290 100644
--- a/packages/app/src/components/collectivex/reader.ts
+++ b/packages/app/src/components/collectivex/reader.ts
@@ -750,10 +750,13 @@ function validateDatasetReferences(dataset: CollectiveXDataset): void {
   ) {
     throw new CollectiveXDataError('quarantined dataset exposes publication evidence.');
   }
-  if (
-    dataset.promotion.status === 'promoted' &&
-    (dataset.rankings.length === 0 || dataset.recommendations.length === 0)
-  ) {
+  if (dataset.promotion.status === 'promoted' && dataset.rankings.length === 0) {
+    // Rankings are the decision graph. Recommendations are unique-p99-latency-winner
+    // callouts that legitimately do not exist when a cohort's candidates fall within
+    // the bootstrap equivalence band (statistical ties) — a common, honest outcome for
+    // single-allocation publications. The recommendation-coverage check above already
+    // derives 0 as the expected count in that case, so requiring recommendations here
+    // would reject a complete, consistent ranking dataset.
     throw new CollectiveXDataError('promoted dataset lacks a complete decision graph.');
   }
 }

From 4bc8489da8fc0ab0f618b7018885d52cb8a255f7 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 8 Jul 2026 08:29:58 +0800
Subject: [PATCH 09/37] fix(collectivex): default to full-evidence scope when a
 measured SKU lacks decision-grade coverage
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

The landing view combined the Controlled (decision-grade only) evidence scope
with the decode phase. On a partial-coverage publication — e.g. a single-run v1
where the strict within-run trial gate leaves whole SKUs diagnostic-tier — the
only decision-grade decode cohorts are H100/H200, so Controlled hid every other
working SKU (B200, MI300X) by default. The page appeared to have only two SKUs.

Choose the landing scope per dataset: keep Controlled when the decision-grade
set already covers every SKU measured at the landing phase (decode); otherwise
fall back to the full-evidence (diagnostic) scope so no working SKU is hidden.
The scope is re-evaluated per content digest on a version/run switch, while an
in-session user toggle is preserved.

Make the diagnostic scope a true full-evidence superset (all measured series,
both tiers, badged by status) so decision-grade series stay visible alongside
the rest and the SKU/backend/routing dropdowns run off the complete dataset.
Reword the diagnostic warning accordingly.

Tests: unit discriminator in data.test.ts; e2e updated for the superset
line count and warning text, plus a new default-to-full-evidence case.
---
 packages/app/cypress/e2e/collectivex.cy.ts    | 46 ++++++++++++++++++-
 .../collectivex/CollectiveXDisplay.tsx        | 40 ++++++++++++----
 .../src/components/collectivex/data.test.ts   | 18 ++++++++
 .../app/src/components/collectivex/data.ts    | 25 ++++++++++
 4 files changed, 118 insertions(+), 11 deletions(-)

diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index 2f32fff7a..f638c33af 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -577,19 +577,61 @@ describe('CollectiveX native publication', () => {
   });
 
   it('requires an explicit switch to render diagnostics', () => {
+    // The fixture's decision-grade set covers every measured SKU, so the landing
+    // scope stays Controlled and reaching the full-evidence view needs an explicit
+    // switch to Diagnostics.
     installPublication(makeCollectiveXDatasetWithDiagnosticCohort());
     cy.reload();
     cy.wait('@collectivexChannel-dev-latest');
+    cy.get('[data-testid="collectivex-scope-toggle"]')
+      .contains('button', 'Controlled')
+      .should('have.attr', 'aria-selected', 'true');
+    cy.get('[data-testid="collectivex-diagnostic-warning"]').should('not.exist');
     cy.get('[data-testid="collectivex-scope-toggle"]').contains('button', 'Diagnostics').click();
 
     cy.get('[data-testid="collectivex-diagnostic-warning"]')
       .should('be.visible')
-      .and('contain.text', 'excluded from rankings');
+      .and('contain.text', 'inform rankings');
+    // The full-evidence scope shows every measured series, not just the diagnostic
+    // cohort members, so the decision-grade series stay visible alongside the rest.
     cy.get('[data-testid="collectivex-main-chart"]')
       .should('contain.text', 'H100 EP8 · deepep')
       .and('contain.text', 'H100 EP8 · mori');
-    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 2);
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 7);
+    cy.get('[data-testid="collectivex-sku-select"]').should('exist');
+  });
+
+  it('lands on full-evidence when a measured SKU has no decision-grade coverage', () => {
+    // Flip the B200 series to diagnostic so B200 has data at decode but no
+    // decision-grade series there. The controlled view would hide B200 entirely, so
+    // the page must land on the full-evidence (diagnostic) scope without a switch and
+    // render both the H100 (decision-grade) and B200 (diagnostic) series.
+    const partial = makeCollectiveXDataset();
+    partial.series
+      .filter((item) => item.system.sku === 'b200')
+      .forEach((item) => {
+        item.status = 'diagnostic';
+        item.eligibility = {
+          ...item.eligibility,
+          decision_grade: false,
+          reasons: ['unresolved-trial-diagnostic'],
+        };
+      });
+    installPublication(partial);
+    cy.reload();
+    cy.wait('@collectivexChannel-dev-latest');
+
+    cy.get('[data-testid="collectivex-scope-toggle"]')
+      .contains('button', 'Diagnostics')
+      .should('have.attr', 'aria-selected', 'true');
+    cy.get('[data-testid="collectivex-diagnostic-warning"]').should('be.visible');
+    cy.get('[data-testid="collectivex-main-chart"]')
+      .should('contain.text', 'H100 EP8 · deepep')
+      .and('contain.text', 'B200 EP8');
     cy.get('[data-testid="collectivex-sku-select"]').should('exist');
+    cy.get('[data-testid="collectivex-scope-toggle"]')
+      .contains('button', 'Controlled')
+      .should('have.attr', 'aria-selected', 'false');
   });
 
   it('shows why a controlled cohort was excluded', () => {
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index ea3f49d50..8baf523ee 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -1,7 +1,7 @@
 'use client';
 
 import { BookOpen, ExternalLink, Loader2, RefreshCw } from 'lucide-react';
-import { useCallback, useEffect, useMemo, useState } from 'react';
+import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
 
 import { Button } from '@/components/ui/button';
 import { Card } from '@/components/ui/card';
@@ -35,6 +35,7 @@ import {
 import {
   cohortMatchesSelection,
   collectiveXColorKey,
+  collectiveXInitialScope,
   collectiveXSeriesLabel,
   collectiveXTopologyLabel,
   comparisonDifferences,
@@ -184,7 +185,7 @@ const STRINGS = {
     highContrast: 'High Contrast',
     resetFilter: 'Reset filter',
     diagnosticWarning:
-      'Diagnostic evidence is excluded from rankings, recommendations, and regression claims.',
+      'Showing all measured series. Only decision-grade series inform rankings, recommendations, and regression claims — switch to Controlled to see that subset.',
     excluded: 'Excluded',
     stableOrdering: 'stable ordering passed',
     unstableOrdering: 'stable ordering not passed',
@@ -466,6 +467,12 @@ export default function CollectiveXDisplay() {
   const activeQuery = selectedDigest === null ? channelQuery : runQuery;
   const { data, error, isLoading, isFetching } = activeQuery;
   const [tab, setTab] = useState<CollectiveXTab>('results');
+  // Landing scope is chosen per dataset by `collectiveXInitialScope` (see the effect
+  // below): Controlled (decision-grade only) when that set already covers every SKU
+  // measured at the landing phase, otherwise the full-evidence (diagnostic) scope so
+  // partial-coverage publications — e.g. a single-run v1 where the strict trial gate
+  // leaves whole SKUs diagnostic-tier — still show every working SKU by default. A
+  // user toggle persists until the underlying dataset changes.
   const [evidenceScope, setEvidenceScope] = useState<EvidenceScope>('controlled');
   const [mode, setMode] = useState<CollectiveXMode>('normal');
   const [epSize, setEpSize] = useState(8);
@@ -586,6 +593,22 @@ export default function CollectiveXDisplay() {
       setEpSize(availableEpSizes[0]);
     }
   }, [availableEpSizes, availableModes, epSize, mode]);
+  // Pick the landing scope once per loaded dataset, keyed by content digest so a
+  // version/run switch re-evaluates while an in-session user toggle is preserved.
+  // 'decode' is the initial phase; the discriminator hides no working SKU behind the
+  // controlled gate on partial-coverage publications (see collectiveXInitialScope).
+  const initialScope = useMemo(
+    () => collectiveXInitialScope(dataset?.series ?? [], 'decode'),
+    [dataset?.series],
+  );
+  const scopeInitDigestRef = useRef<string | null>(null);
+  useEffect(() => {
+    const digest = data?.digest ?? null;
+    if (digest !== null && scopeInitDigestRef.current !== digest) {
+      scopeInitDigestRef.current = digest;
+      setEvidenceScope(initialScope);
+    }
+  }, [data?.digest, initialScope]);
   const seriesSelection = useMemo(
     () => ({ mode, epSize, phase, fabricScope }),
     [epSize, fabricScope, mode, phase],
@@ -683,13 +706,12 @@ export default function CollectiveXDisplay() {
     };
   }, []);
 
-  const diagnosticSeries = useMemo(() => {
-    if (!dataset) return [];
-    const diagnosticMembers = new Set(allDiagnosticCohorts.flatMap((cohort) => cohort.series_ids));
-    return dataset.series.filter(
-      (item) => item.status === 'diagnostic' || diagnosticMembers.has(item.series_id),
-    );
-  }, [allDiagnosticCohorts, dataset]);
+  // The diagnostic scope is the full-evidence view: every measured series across all
+  // SKUs — both decision-grade and diagnostic-tier — badged by status. This keeps the
+  // best (decision-grade) series visible alongside the rest instead of hiding them,
+  // and drives the SKU/backend/routing dropdowns off the complete dataset. Controlled
+  // scope narrows to the decision-grade cohorts (rankings, recommendations).
+  const diagnosticSeries = useMemo(() => dataset?.series ?? [], [dataset?.series]);
   const filteredDiagnosticSeries = useMemo(
     () => diagnosticSeries.filter((item) => seriesMatchesSelection(item, seriesSelection)),
     [diagnosticSeries, seriesSelection],
diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
index 37ff3786c..b6140167f 100644
--- a/packages/app/src/components/collectivex/data.test.ts
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -8,6 +8,7 @@ import {
   cohortMatchesSelection,
   compareCollectiveXDecisionMetrics,
   collectiveXColorKey,
+  collectiveXInitialScope,
   collectiveXSeriesLabel,
   collectiveXTopologyLabel,
   comparisonDifferences,
@@ -66,6 +67,23 @@ describe('CollectiveX EP projections', () => {
     ).toEqual(Object.keys(catalog.precision_profiles).toSorted());
   });
 
+  it('lands on controlled only when decision-grade covers every measured SKU at the phase', () => {
+    const dataset = makeCollectiveXDataset();
+    // Every fixture series is decision-grade, so the decision-grade set covers both
+    // measured SKUs (H100, B200) at decode: controlled is safe.
+    expect(collectiveXInitialScope(dataset.series, 'decode')).toBe('controlled');
+
+    // Drop B200 out of the decision-grade set: it still has decode data, so the
+    // controlled view would hide it — fall back to the full-evidence scope.
+    const partial = dataset.series.map((series) =>
+      series.system.sku === 'b200' ? { ...series, status: 'diagnostic' as const } : series,
+    );
+    expect(collectiveXInitialScope(partial, 'decode')).toBe('diagnostic');
+
+    // No series at the phase: nothing to hide, keep the rigorous default.
+    expect(collectiveXInitialScope(dataset.series, 'prefill')).toBe('controlled');
+  });
+
   it('orders decision metrics by phase, token count, measure, and percentile', () => {
     const base = makeCollectiveXDataset().rankings[0].metric;
     const metrics = [
diff --git a/packages/app/src/components/collectivex/data.ts b/packages/app/src/components/collectivex/data.ts
index f15bd4eee..20fdc12df 100644
--- a/packages/app/src/components/collectivex/data.ts
+++ b/packages/app/src/components/collectivex/data.ts
@@ -16,6 +16,31 @@ import type {
 
 export type CollectiveXFabricScope = 'all' | CollectiveXTopologyScope;
 
+export type CollectiveXEvidenceScope = 'controlled' | 'diagnostic';
+
+// Choose the landing scope for a freshly loaded dataset. Controlled (decision-grade
+// only) is the rigorous default, but on a partial-coverage publication — e.g. a
+// single-run v1 where the strict within-run trial gate leaves whole SKUs
+// diagnostic-tier — the controlled view would hide every series for those SKUs. When
+// any SKU with measured data at the landing phase has no decision-grade series there,
+// fall back to the full-evidence (diagnostic) scope so no working SKU is hidden by
+// default. When decision-grade coverage is complete, Controlled stays the default.
+export function collectiveXInitialScope(
+  series: CollectiveXSeries[],
+  phase: CollectiveXPhase,
+): CollectiveXEvidenceScope {
+  const atPhase = series.filter((item) => item.phase === phase);
+  if (atPhase.length === 0) return 'controlled';
+  const decisionGradeSkus = new Set(
+    atPhase.filter((item) => item.status === 'decision-grade').map((item) => item.system.sku),
+  );
+  const measuredSkus = new Set(atPhase.map((item) => item.system.sku));
+  for (const sku of measuredSkus) {
+    if (!decisionGradeSkus.has(sku)) return 'diagnostic';
+  }
+  return 'controlled';
+}
+
 export interface CollectiveXSeriesSelection {
   mode: CollectiveXMode;
   epSize: number;

From 425b1d183af2307f50d4db39ec0c8ac6300f89b8 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 8 Jul 2026 22:56:27 +0800
Subject: [PATCH 10/37] feat(collectivex): neutral sweep view assembled live
 from GitHub artifacts

Rework the CollectiveX frontend around the trimmed return-code-only
artifact contract (collectivex.matrix.v1 / .ep.v1 / .terminal.v1). The
GitHub loader assembles a run dataset at request time from the sweep's
matrix + shard artifacts, newest-completed-run wins regardless of
conclusion, and runs are selected by the matrix's numeric `version`
field: latest/list skip runs tagged for another version and by-id 404s
on a mismatch. The format tag stays collectivex.matrix.v1 as the schema
id; the numeric version is the content axis the UI selects on.

Rewrites the reader, data model, display/chart/inventory/tables
components, API surface, route, and the vitest + cypress suites for the
neutral model.
---
 packages/app/cypress/e2e/collectivex.cy.ts    |  902 ++---------
 .../collectivex-data/[...path]/route.test.ts  |   84 +-
 .../app/collectivex-data/[...path]/route.ts   |   72 +-
 .../collectivex/CollectiveXChart.tsx          |    4 +-
 .../collectivex/CollectiveXDisplay.tsx        |  727 ++-------
 .../collectivex/CollectiveXInventory.tsx      |  137 +-
 .../collectivex/CollectiveXTables.tsx         |  762 +--------
 .../src/components/collectivex/data.test.ts   |  314 ++--
 .../app/src/components/collectivex/data.ts    |   75 +-
 .../src/components/collectivex/reader.test.ts | 1078 ++++---------
 .../app/src/components/collectivex/reader.ts  | 1334 ++++++++--------
 .../components/collectivex/test-fixture.ts    | 1379 +++++------------
 .../app/src/components/collectivex/types.ts   |  852 +++++-----
 packages/app/src/hooks/api/use-collectivex.ts |   32 +-
 packages/app/src/lib/api.test.ts              |   70 +-
 packages/app/src/lib/api.ts                   |   17 +-
 .../app/src/lib/collectivex-github.test.ts    |  391 +++--
 packages/app/src/lib/collectivex-github.ts    |  559 ++++---
 18 files changed, 2812 insertions(+), 5977 deletions(-)

diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index f638c33af..55af83195 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -1,858 +1,212 @@
-import {
-  makeCollectiveXDataset,
-  makeCollectiveXContractDataset,
-  makeCollectiveXDatasetWithPrefillCohort,
-  makeCollectiveXDatasetWithDiagnosticCohort,
-  makeCollectiveXDatasetWithPrecisionCohorts,
-  makeCollectiveXInventoryDataset,
-} from '@/components/collectivex/test-fixture';
+import { buildRunSummary } from '@/components/collectivex/reader';
+import { makeCollectiveXDataset } from '@/components/collectivex/test-fixture';
 import type { CollectiveXDataset } from '@/components/collectivex/types';
 
-const channelUrl = '/collectivex-data/1/channels/dev-latest.json';
+// The neutral view: one run's measured series plus its full case coverage. The route
+// serves the resolved dataset at /latest.json, a run listing at /runs.json, and a
+// specific run at /runs/{id}.json. No channel/digest/promotion layer remains.
+const SOURCE_SHA = 'c'.repeat(40);
+const dataset = makeCollectiveXDataset();
+const runId = dataset.run.run_id;
 
-async function sha256(value: string): Promise<string> {
-  const digest = await crypto.subtle.digest('SHA-256', new TextEncoder().encode(value));
-  return [...new Uint8Array(digest)].map((byte) => byte.toString(16).padStart(2, '0')).join('');
+function installLatest(body: CollectiveXDataset | Record<string, unknown> = dataset) {
+  cy.intercept('GET', '/collectivex-data/1/latest.json', { body }).as('latest');
 }
 
-function installPublication(
-  dataset: CollectiveXDataset | Record<string, unknown> = makeCollectiveXDataset(),
-  options: { digest?: string; delay?: number } = {},
-) {
-  const body = JSON.stringify(dataset);
-  const generatedAt =
-    typeof dataset.generated_at === 'string' ? dataset.generated_at : '2026-07-04T01:00:00Z';
-  return cy.wrap(sha256(body), { log: false }).then((actualDigest) => {
-    const digest = options.digest ?? actualDigest;
-    cy.intercept('GET', channelUrl, {
-      body: {
-        format: 'collectivex.channel.v1',
-        channel: 'dev-latest',
-        generated_at: generatedAt,
-        dataset: {
-          path: `datasets/${digest}/dataset.json`,
-          sha256: digest,
-          bytes: new TextEncoder().encode(body).length,
-        },
-      },
-    }).as('collectivexChannel-dev-latest');
-    cy.intercept('GET', `/collectivex-data/1/datasets/${digest}/dataset.json`, {
-      body,
-      delay: options.delay,
-      headers: { 'content-type': 'application/json' },
-    }).as('collectivexDataset-dev-latest');
-  });
+function installRuns() {
+  cy.intercept('GET', '/collectivex-data/1/runs.json', {
+    body: { format: 'collectivex.runs.v1', version: 1, runs: [buildRunSummary(dataset)] },
+  }).as('runs');
+}
+
+function installRun(body: CollectiveXDataset = dataset) {
+  cy.intercept('GET', `/collectivex-data/1/runs/${runId}.json`, { body }).as('run');
 }
 
 function openCollectiveX() {
   cy.visit('/collectivex');
-  cy.wait('@collectivexChannel-dev-latest');
+  cy.wait('@latest');
   cy.get('[data-testid="collectivex-display"]').should('be.visible');
 }
 
-describe('CollectiveX native publication', () => {
+describe('CollectiveX neutral run view', () => {
   beforeEach(() => {
-    installPublication();
+    installLatest();
     openCollectiveX();
   });
 
-  it('defaults to a publisher-controlled, decision-grade cohort', () => {
+  it('shows the run header, coverage stats, and revision-pinned source links', () => {
+    cy.get('[data-testid="collectivex-run-conclusion"]')
+      .should('contain.text', `#${runId}`)
+      .and('contain.text', 'success');
     cy.get('[data-testid="collectivex-display"]')
-      .should('contain.text', 'Promoted')
-      .and('contain.text', '8/8')
-      .and('contain.text', '24')
-      .and('contain.text', 'H100 EP8 library comparison');
-    cy.get('[data-testid="collectivex-scope-toggle"]')
-      .contains('button', 'Controlled')
-      .should('have.attr', 'aria-selected', 'true');
+      .should('contain.text', `${dataset.run.measured_cases}/${dataset.run.requested_cases}`)
+      .and('contain.text', String(dataset.series.length));
     cy.get('[data-testid="collectivex-version-select"]').should('contain.text', 'V1');
-    cy.get('[data-testid="collectivex-channel-toggle"]').should('not.exist');
-    cy.get('[data-testid="collectivex-mode-select"]').should('contain.text', 'Normal');
-    cy.get('[data-testid="collectivex-ep-select"]').should('contain.text', 'EP8');
-    cy.get('[data-testid="collectivex-fabric-scope-toggle"]')
-      .contains('button', 'All')
-      .should('have.attr', 'aria-selected', 'true');
-    cy.get('[data-testid="collectivex-main-chart"]')
-      .should('contain.text', 'Round trip (measured) · decode · p99')
-      .and('contain.text', 'H100 EP8 · deepep')
-      .and('contain.text', 'H100 EP8 · mori');
-    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 2);
-    cy.get('[data-testid="collectivex-chart-semantics"]')
-      .should('contain.text', 'Normal')
-      .and('contain.text', 'Token-rank payload')
-      .and('contain.text', 'Activation-only combine')
-      .and('contain.text', '64×8 = 512 samples/component')
-      .and('contain.text', '32 synchronized warmups');
-    cy.get('[data-testid="collectivex-controlled-stability"]').should(
-      'contain.text',
-      'stable ordering passed',
-    );
-    cy.get('[data-testid="collectivex-diagnostic-warning"]').should('not.exist');
     cy.get('[data-testid="collectivex-source-link"]').should(
       'have.attr',
       'href',
-      `https://github.com/SemiAnalysisAI/InferenceX/tree/${'a'.repeat(40)}/experimental/CollectiveX`,
+      `https://github.com/SemiAnalysisAI/InferenceX/tree/${SOURCE_SHA}/experimental/CollectiveX`,
     );
     cy.get('[data-testid="collectivex-methodology-link"]')
       .should('contain.text', 'Methodology')
       .and(
         'have.attr',
         'href',
-        `https://github.com/SemiAnalysisAI/InferenceX/blob/${'a'.repeat(40)}/experimental/CollectiveX/docs/methodology.md`,
-      );
-    cy.get('[data-testid="collectivex-cohort-select"]').click();
-    cy.get('input[aria-label="Search CollectiveX cohorts"]')
-      .should('have.attr', 'placeholder', 'Search cohorts...')
-      .type('routing comparison');
-    cy.get('[data-slot="select-content"]')
-      .should('contain.text', 'Routing sensitivities')
-      .and('not.contain.text', 'NVIDIA chip comparison');
-    cy.get('button[aria-label="Clear cohort search"]').click();
-    cy.get('[data-testid="collectivex-cohort-select"]').click();
-  });
-
-  it('makes the full matrix inventory primary and exposes point-level evidence', () => {
-    const inventory = makeCollectiveXInventoryDataset();
-    installPublication(inventory);
-    cy.reload();
-    cy.wait('@collectivexChannel-dev-latest');
-    const unsupportedCases = inventory.coverage.filter(
-      (item) => item.disposition === 'unsupported',
-    );
-    const unsupportedPoints = unsupportedCases.reduce(
-      (total, item) => total + item.points.length,
-      0,
-    );
-    const measuredPoints = inventory.coverage
-      .filter((item) => item.disposition === 'runnable')
-      .reduce((total, item) => total + item.points.length, 0);
-
-    cy.get('[data-testid="collectivex-inventory"]')
-      .should('be.visible')
-      .and('contain.text', 'Matrix case inventory')
-      .and('contain.text', `${inventory.coverage.length} of ${inventory.coverage.length} cases`)
-      .and('contain.text', `${measuredPoints} measured points`)
-      .and('contain.text', `${unsupportedPoints} unsupported points`);
-    cy.get('[data-testid="collectivex-version-select"]').should('contain.text', 'V1');
-    [
-      'sku',
-      'backend',
-      'ep',
-      'mode',
-      'phase',
-      'routing',
-      'topology',
-      'dispatch-precision',
-      'combine-precision',
-      'tier',
-      'terminal',
-    ].forEach((filter) =>
-      cy.get(`[data-testid="collectivex-inventory-${filter}"]`).should('be.visible'),
-    );
-    cy.get('[data-testid="collectivex-inventory-table"]')
-      .should('contain.text', 'Dispatch precision')
-      .and('contain.text', 'Combine precision')
-      .and('contain.text', 'Point terminal status');
-
-    cy.get('[data-testid="collectivex-case-detail"]')
-      .should('contain.text', 'Selected matrix case')
-      .and('contain.text', 'Resource')
-      .and('contain.text', 'Topology')
-      .and('contain.text', 'Dispatch precision')
-      .and('contain.text', 'Combine precision');
-    cy.get('[data-testid="collectivex-case-points-table"]').should(
-      'contain.text',
-      '1/1 qualification run',
-    );
-
-    const precision = inventory.coverage.find(
-      (item) =>
-        item.dispatch_precision.communication_format !== 'bf16' ||
-        item.combine_precision.communication_format !== 'bf16',
-    );
-    if (precision) {
-      const matchingCases = inventory.coverage.filter(
-        (item) => item.precision_profile === precision.precision_profile,
-      ).length;
-      cy.get('[data-testid="collectivex-inventory-dispatch-precision"]').click();
-      cy.contains(
-        '[role="option"]',
-        `${precision.dispatch_precision.communication_format} · ${precision.dispatch_precision.quantization_origin}`,
-      ).click();
-      cy.get('[data-testid="collectivex-inventory-combine-precision"]').click();
-      cy.contains(
-        '[role="option"]',
-        `${precision.combine_precision.communication_format} · ${precision.combine_precision.quantization_origin}`,
-      ).click();
-      cy.get('[data-testid="collectivex-inventory"]').should(
-        'contain.text',
-        `${matchingCases} of ${inventory.coverage.length} cases`,
+        `https://github.com/SemiAnalysisAI/InferenceX/blob/${SOURCE_SHA}/experimental/CollectiveX/docs/methodology.md`,
       );
-    }
-
-    cy.get('[data-testid="collectivex-inventory-terminal"]').click();
-    cy.contains('[role="option"]', 'unsupported').click();
-    cy.get('[data-testid="collectivex-case-points-table"]')
-      .should('contain.text', 'unsupported')
-      .and('contain.text', 'Unavailable');
-
-    installPublication(makeCollectiveXDataset());
-    cy.reload();
-    cy.wait('@collectivexChannel-dev-latest');
-    cy.get('[data-testid="collectivex-case-points-table"]')
-      .should('contain.text', 'Dispatch')
-      .and('contain.text', 'Stage')
-      .and('contain.text', 'Combine')
-      .and('contain.text', 'Round trip')
-      .and('contain.text', 'Isolated sum')
-      .and('contain.text', '512/512 samples')
-      .and('contain.text', '1/1 qualification run')
-      .and('contain.text', 'Semantic pass')
-      .and('contain.text', 'Trial diagnostics')
-      .and('contain.text', '64 trials')
-      .and('contain.text', 'No trial flags')
-      .and('contain.text', 'none declared');
-  });
-
-  it('renders publisher-declared dispatch, combine, and precision-pair cohorts', () => {
-    installPublication(makeCollectiveXDatasetWithPrecisionCohorts());
-    cy.reload();
-    cy.wait('@collectivexChannel-dev-latest');
-
-    cy.get('[data-testid="collectivex-cohort-select"]').click();
-    cy.get('[data-slot="select-content"]')
-      .should('contain.text', 'Dispatch precision')
-      .and('contain.text', 'Combine precision')
-      .and('contain.text', 'Precision pairs');
-    cy.contains('[role="option"]', 'dispatch-precision / normal / fixture comparison').click();
-    cy.contains('[role="tab"]', 'Decisions').click();
-    cy.get('[data-testid="collectivex-rankings"]').should(
-      'contain.text',
-      'dispatch-precision publisher ranking',
-    );
-    cy.get('[data-testid="collectivex-sensitivity"]').should(
-      'contain.text',
-      'dispatch-precision publisher sensitivity',
-    );
-    cy.get('[data-testid="collectivex-recommendations"]').should('not.exist');
-
-    cy.get('[data-testid="collectivex-cohort-select"]').click();
-    cy.contains('[role="option"]', 'precision-pair / normal / fixture comparison').click();
-    cy.get('[data-testid="collectivex-rankings"]')
-      .should('contain.text', 'No data available for the current filters.')
-      .and('not.contain.text', 'precision-pair publisher ranking');
-    cy.get('[data-testid="collectivex-sensitivity"]').should('not.exist');
-    cy.get('[data-testid="collectivex-recommendations"]').should('not.exist');
   });
 
-  it('serves the bilingual sibling from the same isolated publication', () => {
-    cy.visit('/zh/collectivex');
-    cy.wait('@collectivexChannel-dev-latest');
-    cy.get('[data-testid="zh-tab-intro"]')
-      .should('contain.text', 'CollectiveX 通信基准测试')
-      .and('contain.text', '专家并行');
-    cy.get('[data-testid="collectivex-display"]')
-      .should('contain.text', '已发布')
-      .and('contain.text', '决策级序列')
-      .and('contain.text', '受控队列');
-    cy.get('[data-testid="collectivex-methodology-link"]')
-      .should('contain.text', '测试方法')
-      .and(
-        'have.attr',
-        'href',
-        `https://github.com/SemiAnalysisAI/InferenceX/blob/${'a'.repeat(40)}/experimental/CollectiveX/docs/methodology_zh.md`,
-      );
-    cy.get('[data-testid="collectivex-scope-toggle"]').should('contain.text', '受控对比');
-    cy.get('[data-testid="collectivex-operation-select"]').should('contain.text', '往返');
-    cy.get('[data-testid="chart-legend"] input[type="text"]')
-      .should('have.attr', 'placeholder', '搜索…')
-      .and('have.attr', 'aria-label', '搜索图例')
-      .type('deepep');
-    cy.get('[data-testid="chart-legend"] button[aria-label="清除搜索"]').click();
-    cy.get('[data-testid="collectivex-cohort-select"]').should(
-      'contain.text',
-      'H100 EP8 / 常规 / 域内（scale-up） / 解码 / uniform / 通信库对比（2 个序列）',
-    );
-    cy.get('[data-testid="collectivex-cohort-select"]').click();
-    cy.get('input[aria-label="搜索 CollectiveX 队列"]')
-      .should('have.attr', 'placeholder', '搜索队列…')
-      .type('路由对比');
-    cy.get('[data-slot="select-content"]')
-      .should('contain.text', '路由敏感性')
-      .and('not.contain.text', '平台对比');
-    cy.get('button[aria-label="清除队列搜索"]').click();
-    cy.get('[data-testid="collectivex-cohort-select"]').click();
-    cy.contains('[role="tab"]', '决策').click();
-    cy.get('[data-testid="collectivex-rankings"]')
-      .should('contain.text', '排名')
-      .and('contain.text', '通信库对比 p99 延迟 T=128')
-      .and('contain.text', '解码 T=128 往返 p99 延迟')
-      .and('contain.text', '在相同实际系统、工作负载与测量协议下对比通信库')
-      .and('not.contain.text', 'Matched H100');
-    cy.get('[data-testid="collectivex-comparison-contract"]')
-      .should('contain.text', '对比协议')
-      .and('contain.text', '保持一致')
-      .and('contain.text', '实际系统与拓扑')
-      .and('contain.text', '后端实现')
-      .and('contain.text', '64 次试验 × 8 次迭代 = 每个分项 512 个样本')
-      .and('contain.text', '32 次同步完整往返预热')
-      .and('contain.text', '排名顺序稳定')
-      .and('contain.text', '已通过');
-    cy.get('[data-testid="collectivex-recommendations"]')
-      .should('contain.text', '符合条件的最佳配置')
-      .and('contain.text', 'T=128 时 p99 延迟最低')
-      .and('contain.text', '受控队列中排名第一的稳定实测往返结果')
-      .and('contain.text', '1.0.0 · backend-default · build dddddddd')
-      .and('not.contain.text', 'Best p99 latency');
-    cy.get('[data-testid="collectivex-cohort-select"]').click();
-    cy.contains(
-      '[role="option"]',
-      'deepep EP8 / 常规 / 域内（scale-up） / 解码 / uniform / 平台对比（2 个序列）',
-    ).should('exist');
-    cy.contains(
-      '[role="option"]',
-      '参考实现 EP8 / 常规 / 域内（scale-up） / 解码 / uniform / 参考系统对比（2 个序列）',
-    ).should('exist');
-    cy.contains(
-      '[role="option"]',
-      'H100 / deepep / EP8 / 常规 / 域内（scale-up） / 解码 / 路由对比（3 个序列）',
-    ).click();
-    cy.get('[data-testid="collectivex-sensitivity"]')
-      .should('contain.text', '路由敏感性：p99 延迟 T=128')
-      .and('contain.text', '实验性')
-      .and('contain.text', 'series 00000001');
-    cy.contains('[role="tab"]', '证据').click();
-    cy.get('[data-testid="collectivex-coverage"]')
-      .should('contain.text', '终结状态覆盖')
-      .and('contain.text', '后端不支持该平台')
-      .and('contain.text', '能力限制')
-      .and('contain.text', '每页');
-    cy.get('[data-testid="collectivex-coverage-table"] input')
-      .should('have.attr', 'placeholder', '搜索…')
-      .and('have.attr', 'aria-label', '搜索表格');
-    cy.get('[data-testid="collectivex-attempts"]')
-      .should('contain.text', '保留的全部尝试')
-      .and('contain.text', '后端不支持该平台');
-    cy.get('[data-testid="language-toggle"]').should('have.attr', 'href', '/collectivex');
+  it('renders the default decode round-trip chart for the EP8 scale-up series', () => {
+    cy.get('[data-testid="collectivex-main-chart"]')
+      .should('contain.text', 'Round trip (measured) · decode · p99')
+      .and('contain.text', 'nccl-ep');
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
   });
 
-  it('selects exact low-latency EP16 scale-out semantics without mixing normal mode', () => {
-    const contract = makeCollectiveXContractDataset();
-    const lowLatency = contract.series.find((item) => item.mode === 'low-latency')!;
-    lowLatency.status = 'diagnostic';
-    lowLatency.eligibility = {
-      ...lowLatency.eligibility,
-      decision_grade: false,
-      reasons: ['not-in-controlled-cohort'],
-    };
-    installPublication(contract);
-    cy.reload();
-    cy.wait('@collectivexChannel-dev-latest');
-
-    cy.get('[data-testid="collectivex-scope-toggle"]').contains('button', 'Diagnostics').click();
-    cy.get('[data-testid="collectivex-mode-select"]').contains('button', 'Low latency').click();
+  it('selects the EP16 scale-out series through the identity controls', () => {
     cy.get('[data-testid="collectivex-ep-select"]').click();
     cy.contains('[role="option"]', 'EP16').click();
     cy.get('[data-testid="collectivex-fabric-scope-toggle"]')
       .contains('button', 'Scale-out')
       .click();
 
-    cy.get('[data-testid="collectivex-phase-toggle"]')
-      .find('button')
-      .should('have.length', 1)
-      .and('contain.text', 'Decode')
-      .and('have.attr', 'aria-selected', 'true');
-    cy.get('[data-testid="collectivex-chart-semantics"]')
-      .should('contain.text', 'Low latency')
-      .and('contain.text', 'EP16')
-      .and('contain.text', 'Scale-out')
-      .and('contain.text', 'Token-expert payload')
-      .and('contain.text', 'Gate-weighted combine');
     cy.get('[data-testid="collectivex-main-chart"]')
-      .should('contain.text', 'low-latency')
-      .and('contain.text', 'h100-nvlink-rdma');
+      .should('contain.text', 'deepep')
+      .and('contain.text', 'EP16');
     cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
+  });
 
+  it('shows the empty state when no series matches the identity selection', () => {
+    // The only EP8 series is scale-up, so a scale-out filter at EP8 matches nothing.
     cy.get('[data-testid="collectivex-fabric-scope-toggle"]')
-      .contains('button', 'Scale-up')
+      .contains('button', 'Scale-out')
       .click();
+    cy.get('[data-testid="collectivex-empty-state"]').should('be.visible');
     cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('not.exist');
-
-    cy.contains('[role="tab"]', 'Evidence').click();
-    cy.get('[data-testid="collectivex-coverage-table"]')
-      .should('contain.text', 'Mode')
-      .and('contain.text', 'EP')
-      .and('contain.text', 'Fabric scope')
-      .and('contain.text', 'Topology')
-      .and('contain.text', 'Low latency')
-      .and('contain.text', 'Scale-out')
-      .and('contain.text', '2x8 · domain 8 · nvlink+rdma');
-  });
-
-  it('labels mixed-scope publisher cohorts without inheriting the first member scope', () => {
-    const mixed = makeCollectiveXDataset();
-    const cohort = mixed.cohorts.find((item) => item.kind === 'chip')!;
-    const first = mixed.series.find((item) => item.series_id === cohort.series_ids[0])!;
-    const second = mixed.series.find((item) => item.series_id === cohort.series_ids[1])!;
-    first.system = {
-      ...first.system,
-      sku: 'gb200',
-      label: 'NVIDIA GB200 NVL72',
-      scope: 'scale-up',
-      nodes: 4,
-      gpus_per_node: 4,
-      scale_up_domain: 72,
-      scale_up_transport: 'mnnvl',
-      scale_out_transport: null,
-      transport: 'mnnvl',
-      topology_class: 'gb200-nvl72-mnnvl',
-      world_size: 16,
-      ep_size: 16,
-    };
-    second.system = {
-      ...second.system,
-      scope: 'scale-out',
-      nodes: 2,
-      scale_out_transport: 'rdma',
-      transport: 'nvlink-rdma',
-      topology_class: 'h100-nvlink-rdma',
-      world_size: 16,
-      ep_size: 16,
-    };
-    installPublication(mixed);
-    cy.visit('/zh/collectivex');
-    cy.wait('@collectivexChannel-dev-latest');
-
-    cy.get('[data-testid="collectivex-ep-select"]').click();
-    cy.contains('[role="option"]', 'EP16').click();
-    cy.get('[data-testid="collectivex-cohort-select"]').click();
-    cy.contains('[role="option"]', '域内（scale-up） ↔ 跨域（scale-out）').should('exist');
-  });
-
-  it('disables source navigation when publication revisions differ', () => {
-    const inconsistent = makeCollectiveXDataset();
-    inconsistent.series[1].build.source_sha = 'b'.repeat(40);
-    installPublication(inconsistent);
-    cy.reload();
-    cy.wait('@collectivexChannel-dev-latest');
-
-    cy.get('[data-testid="collectivex-source-link"]')
-      .should('have.attr', 'aria-disabled', 'true')
-      .and('not.have.attr', 'href');
-  });
-
-  it('switches to the controlled cohort for the selected phase', () => {
-    installPublication(makeCollectiveXDatasetWithPrefillCohort());
-    cy.reload();
-    cy.wait('@collectivexChannel-dev-latest');
-
-    cy.get('[data-testid="collectivex-phase-toggle"]').contains('button', 'Prefill').click();
-    cy.get('[data-testid="collectivex-cohort-select"]').should(
-      'contain.text',
-      'H100 EP8 prefill library comparison',
-    );
-    cy.get('[data-testid="collectivex-main-chart"]')
-      .should('contain.text', 'Round trip (measured) · prefill · p99')
-      .and('contain.text', 'H100 EP8 · deepep')
-      .and('contain.text', 'H100 EP8 · mori');
-    cy.contains('[role="tab"]', 'Decisions').click();
-    cy.get('[data-testid="collectivex-rankings"]')
-      .should('contain.text', 'T=512')
-      .and('contain.text', 'prefill');
-    cy.get('[data-testid="collectivex-recommendations"]').should(
-      'contain.text',
-      'Best p99 latency at T=512',
-    );
-
-    cy.get('[data-testid="collectivex-phase-toggle"]').contains('button', 'Decode').click();
-    cy.get('[data-testid="collectivex-cohort-select"]').should(
-      'contain.text',
-      'H100 EP8 library comparison',
-    );
-    cy.get('[data-testid="collectivex-rankings"]').should('contain.text', 'T=128');
   });
 
-  it('clears rendered lines when every series is disabled', () => {
-    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 2);
-    cy.get('[data-testid="chart-legend"] input[type="checkbox"]:checked')
-      .first()
-      .uncheck({ force: true });
+  it('clears the chart when the sole series is toggled off in the legend', () => {
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
     cy.get('[data-testid="chart-legend"] input[type="checkbox"]:checked')
       .first()
       .uncheck({ force: true });
     cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('not.exist');
   });
 
-  it('restores internal tabs with browser history', () => {
-    cy.contains('[role="tab"]', 'Decisions').click();
-    cy.location('hash').should('eq', '#tab-decisions');
-    cy.contains('[role="tab"]', 'Evidence').click();
-    cy.location('hash').should('eq', '#tab-evidence');
-    cy.go('back');
-    cy.location('hash').should('eq', '#tab-decisions');
-    cy.get('[data-testid="collectivex-rankings"]').should('be.visible');
-  });
-
-  it('does not query database availability for the isolated page', () => {
-    let availabilityRequests = 0;
-    cy.intercept('GET', '/api/v1/availability', (request) => {
-      availabilityRequests += 1;
-      request.reply([]);
-    });
-    cy.reload();
-    cy.wait('@collectivexChannel-dev-latest');
-    cy.get('[data-testid="collectivex-display"]').should('be.visible');
-    cy.then(() => expect(availabilityRequests).to.eq(0));
+  it('notes that isolated sum is derived and never drives throughput', () => {
+    cy.get('[data-testid="collectivex-operation-select"]').click();
+    cy.contains('[role="option"]', 'Isolated sum').click();
+    cy.get('[data-testid="collectivex-main-chart"]').should(
+      'contain.text',
+      'Isolated sum is derived',
+    );
   });
 
-  it('keeps decisions and evidence usable on a mobile viewport', () => {
-    cy.viewport(390, 844);
-    cy.visit('/zh/collectivex');
-    cy.wait('@collectivexChannel-dev-latest');
-    cy.get('[data-testid="collectivex-version-select"]').should('be.visible');
-    cy.get('[data-testid="collectivex-mode-select"]').should('be.visible');
-    cy.get('[data-testid="collectivex-ep-select"]').should('be.visible');
-    cy.get('[data-testid="collectivex-fabric-scope-toggle"]').should('be.visible');
-    cy.get('[data-testid="collectivex-cohort-select"]').should('be.visible');
-    cy.get('[data-testid="collectivex-cohort-select"]').click();
-    cy.get('input[aria-label="搜索 CollectiveX 队列"]').type('平台对比');
-    cy.get('[data-slot="select-content"]').find('[role="option"]').should('have.length', 1);
-    cy.get('button[aria-label="清除队列搜索"]').click();
-    cy.get('[data-testid="collectivex-cohort-select"]').click();
-    cy.get('[data-testid="collectivex-tabs"]').should('be.visible');
-    cy.contains('[role="tab"]', '决策').click();
-    cy.get('[data-testid="collectivex-recommendations-table"]')
-      .should(
-        'contain.text',
-        '1.0.0 · backend-default · build dddddddd · series 00000001 · official',
-      )
-      .find('table')
-      .parent()
-      .should(($container) => {
-        expect($container[0].scrollWidth).to.be.greaterThan($container[0].clientWidth);
-      })
-      .scrollTo('right');
-    cy.get('[data-testid="collectivex-recommendations-table"]')
-      .find('tbody tr')
-      .should('have.length', 1);
-    cy.get('[data-testid="collectivex-recommendations-table"]')
-      .find('[data-testid="data-table-page-size"]')
-      .should('contain.text', '每页')
-      .and('contain.text', '25')
-      .and('contain.text', '行');
-    cy.get('[data-testid="collectivex-rankings-table"] input').type('正式');
-    cy.get('[data-testid="collectivex-rankings-table"]').find('tbody tr').should('have.length', 12);
-
-    cy.contains('[role="tab"]', '证据').click();
-    cy.get('[data-testid="collectivex-coverage-table"]')
-      .find('table')
-      .parent()
-      .should(($container) => {
-        expect($container[0].scrollWidth).to.be.greaterThan($container[0].clientWidth);
-      })
-      .scrollTo('right');
-    const coverageSearch = '[data-testid="collectivex-coverage-table"] input';
-    cy.get(coverageSearch).type('解码');
-    cy.get('[data-testid="collectivex-coverage-table"]')
-      .find('[data-testid="data-table-pagination-summary"]')
-      .should('have.text', '第 1–8 行，共 8 行（筛选自 8 行）');
-    cy.get(coverageSearch).clear().type('可运行');
-    cy.get('[data-testid="collectivex-coverage-table"]')
-      .should('not.contain.text', 'MI355X / DeepEP / unsupported')
-      .find('[data-testid="data-table-pagination-summary"]')
-      .should('have.text', '第 1–7 行，共 7 行（筛选自 8 行）');
-    cy.get(coverageSearch).clear().type('成功');
-    cy.get('[data-testid="collectivex-coverage-table"]')
-      .find('[data-testid="data-table-pagination-summary"]')
-      .should('have.text', '第 1–7 行，共 7 行（筛选自 8 行）');
-    cy.get('[data-testid="collectivex-attempts-table"] input').type('选择');
-    cy.get('[data-testid="collectivex-attempts-table"]')
-      .find('[data-testid="data-table-pagination-summary"]')
-      .should('have.text', '第 1–8 行，共 8 行（筛选自 8 行）');
-    cy.document()
-      .its('documentElement')
-      .should((element) => {
-        expect(element.scrollWidth).to.be.at.most(element.clientWidth);
-      });
+  it('lists runs on demand and pins a specific run by id', () => {
+    installRuns();
+    installRun();
+    cy.get('[data-testid="collectivex-load-runs"]').click();
+    cy.wait('@runs');
+    cy.get('[data-testid="collectivex-run-select"]').click();
+    cy.contains('[role="option"]', `#${runId}`).click();
+    cy.wait('@run');
+    cy.get('[data-testid="collectivex-run-conclusion"]').should('contain.text', `#${runId}`);
   });
 
-  it('requires an explicit switch to render diagnostics', () => {
-    // The fixture's decision-grade set covers every measured SKU, so the landing
-    // scope stays Controlled and reaching the full-evidence view needs an explicit
-    // switch to Diagnostics.
-    installPublication(makeCollectiveXDatasetWithDiagnosticCohort());
-    cy.reload();
-    cy.wait('@collectivexChannel-dev-latest');
-    cy.get('[data-testid="collectivex-scope-toggle"]')
-      .contains('button', 'Controlled')
-      .should('have.attr', 'aria-selected', 'true');
-    cy.get('[data-testid="collectivex-diagnostic-warning"]').should('not.exist');
-    cy.get('[data-testid="collectivex-scope-toggle"]').contains('button', 'Diagnostics').click();
-
-    cy.get('[data-testid="collectivex-diagnostic-warning"]')
-      .should('be.visible')
-      .and('contain.text', 'inform rankings');
-    // The full-evidence scope shows every measured series, not just the diagnostic
-    // cohort members, so the decision-grade series stay visible alongside the rest.
-    cy.get('[data-testid="collectivex-main-chart"]')
-      .should('contain.text', 'H100 EP8 · deepep')
-      .and('contain.text', 'H100 EP8 · mori');
-    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 7);
-    cy.get('[data-testid="collectivex-sku-select"]').should('exist');
+  it('presents the full matrix inventory with a selected case detail', () => {
+    cy.get('[data-testid="collectivex-inventory"]')
+      .should('contain.text', 'Matrix case inventory')
+      .and('contain.text', `${dataset.coverage.length} of ${dataset.coverage.length} cases`);
+    cy.get('[data-testid="collectivex-inventory-table"]')
+      .should('contain.text', 'H200-DGXC')
+      .and('contain.text', 'B300-SXM');
+    cy.get('[data-testid="collectivex-case-detail"]').should(
+      'contain.text',
+      'Selected matrix case',
+    );
   });
 
-  it('lands on full-evidence when a measured SKU has no decision-grade coverage', () => {
-    // Flip the B200 series to diagnostic so B200 has data at decode but no
-    // decision-grade series there. The controlled view would hide B200 entirely, so
-    // the page must land on the full-evidence (diagnostic) scope without a switch and
-    // render both the H100 (decision-grade) and B200 (diagnostic) series.
-    const partial = makeCollectiveXDataset();
-    partial.series
-      .filter((item) => item.system.sku === 'b200')
-      .forEach((item) => {
-        item.status = 'diagnostic';
-        item.eligibility = {
-          ...item.eligibility,
-          decision_grade: false,
-          reasons: ['unresolved-trial-diagnostic'],
-        };
-      });
-    installPublication(partial);
-    cy.reload();
-    cy.wait('@collectivexChannel-dev-latest');
-
-    cy.get('[data-testid="collectivex-scope-toggle"]')
-      .contains('button', 'Diagnostics')
-      .should('have.attr', 'aria-selected', 'true');
-    cy.get('[data-testid="collectivex-diagnostic-warning"]').should('be.visible');
-    cy.get('[data-testid="collectivex-main-chart"]')
-      .should('contain.text', 'H100 EP8 · deepep')
-      .and('contain.text', 'B200 EP8');
-    cy.get('[data-testid="collectivex-sku-select"]').should('exist');
-    cy.get('[data-testid="collectivex-scope-toggle"]')
-      .contains('button', 'Controlled')
-      .should('have.attr', 'aria-selected', 'false');
+  it('exposes terminal coverage, retained attempts, and run provenance in Evidence', () => {
+    cy.contains('[role="tab"]', 'Evidence').click();
+    cy.get('[data-testid="collectivex-coverage-table"]')
+      .should('contain.text', 'nccl-ep')
+      .and('contain.text', 'deepep')
+      .and('contain.text', 'unsupported');
+    cy.get('[data-testid="collectivex-attempts-table"]').should('be.visible');
+    cy.get('[data-testid="collectivex-provenance"]')
+      .should('contain.text', `#${runId}`)
+      .and('contain.text', 'Source bundles');
   });
 
-  it('shows why a controlled cohort was excluded', () => {
-    installPublication(makeCollectiveXDatasetWithDiagnosticCohort());
-    cy.reload();
-    cy.wait('@collectivexChannel-dev-latest');
-    cy.get('[data-testid="collectivex-scope-toggle"]').contains('button', 'Diagnostics').click();
-    cy.get('[data-testid="collectivex-cohort-select"]').click();
-    cy.contains('[role="option"]', 'H100 EP8 library comparison').click();
-
-    cy.get('[data-testid="collectivex-diagnostic-cohort-reasons"]').should(
-      'contain.text',
-      'unstable-ordering',
-    );
-    cy.get('[data-testid="collectivex-main-chart"]')
-      .should('contain.text', 'H100 EP8 · deepep')
-      .and('contain.text', 'H100 EP8 · mori');
+  it('restores the active tab with browser history', () => {
+    cy.contains('[role="tab"]', 'Evidence').click();
+    cy.location('hash').should('eq', '#tab-evidence');
+    cy.contains('[role="tab"]', 'EP results').click();
+    cy.location('hash').should('eq', '#tab-results');
+    cy.go('back');
+    cy.location('hash').should('eq', '#tab-evidence');
+    cy.get('[data-testid="collectivex-provenance"]').should('be.visible');
   });
 
-  it('shows why individual series were flagged when no cohort is pinned', () => {
-    const contract = makeCollectiveXContractDataset();
-    const lowLatency = contract.series.find((item) => item.mode === 'low-latency')!;
-    lowLatency.status = 'diagnostic';
-    lowLatency.eligibility = {
-      ...lowLatency.eligibility,
-      decision_grade: false,
-      reasons: ['not-in-controlled-cohort'],
-    };
-    installPublication(contract);
+  it('disables source navigation when measured series span different revisions', () => {
+    const mixed = makeCollectiveXDataset();
+    mixed.series[1].build.source_sha = 'd'.repeat(40);
+    installLatest(mixed);
     cy.reload();
-    cy.wait('@collectivexChannel-dev-latest');
-
-    cy.get('[data-testid="collectivex-scope-toggle"]').contains('button', 'Diagnostics').click();
-    cy.get('[data-testid="collectivex-mode-select"]').contains('button', 'Low latency').click();
-    cy.get('[data-testid="collectivex-ep-select"]').click();
-    cy.contains('[role="option"]', 'EP16').click();
-    cy.get('[data-testid="collectivex-fabric-scope-toggle"]')
-      .contains('button', 'Scale-out')
-      .click();
-
-    // No cohort selected: the per-series reason line reveals why the shown
-    // series is diagnostic, without needing to pin a cohort first.
-    cy.get('[data-testid="collectivex-diagnostic-cohort-reasons"]').should('not.exist');
-    cy.get('[data-testid="collectivex-diagnostic-series-reasons"]')
-      .should('be.visible')
-      .and('contain.text', 'not-in-controlled-cohort');
+    cy.wait('@latest');
+    cy.get('[data-testid="collectivex-source-link"]')
+      .should('have.attr', 'aria-disabled', 'true')
+      .and('not.have.attr', 'href');
   });
+});
 
-  it('keeps the version selector available when no promotion exists', () => {
-    cy.intercept('GET', channelUrl, {
+describe('CollectiveX availability states', () => {
+  it('reports a missing run listing as no published run', () => {
+    cy.intercept('GET', '/collectivex-data/1/latest.json', {
       statusCode: 404,
-      headers: { 'X-CollectiveX-Status': 'channel-unavailable' },
-    }).as('missingPromotion');
-    cy.reload();
-    cy.wait('@missingPromotion');
+      headers: { 'X-CollectiveX-Status': 'runs-unavailable' },
+    }).as('missing');
+    cy.visit('/collectivex');
+    cy.wait('@missing');
     cy.get('[data-testid="collectivex-error"]')
       .should('be.visible')
-      .and('contain.text', 'No promoted CollectiveX publication is available yet.')
-      .and('not.contain.text', 'publication rejected');
+      .and('contain.text', 'No CollectiveX run has been published yet.');
     cy.get('[data-testid="collectivex-error-version-select"]').should('contain.text', 'V1');
-    cy.get('[data-testid="collectivex-error-channel-toggle"]').should('not.exist');
   });
 
-  it('reports an unavailable GitHub publication source as deployment availability', () => {
-    cy.intercept('GET', channelUrl, {
+  it('reports an unavailable GitHub source as a temporary outage', () => {
+    cy.intercept('GET', '/collectivex-data/1/latest.json', {
       statusCode: 503,
       headers: { 'X-CollectiveX-Status': 'source-unavailable' },
-    }).as('unavailableSource');
-    cy.reload();
-    cy.wait('@unavailableSource');
+    }).as('down');
+    cy.visit('/collectivex');
+    cy.wait('@down');
     cy.get('[data-testid="collectivex-error"]')
       .should('be.visible')
-      .and('contain.text', 'The GitHub Actions publication source is temporarily unavailable.')
-      .and('not.contain.text', 'publication rejected');
-    cy.get('[data-testid="collectivex-error-channel-toggle"]').should('not.exist');
-
-    cy.visit('/zh/collectivex');
-    cy.wait('@unavailableSource');
-    cy.get('[data-testid="collectivex-error"]')
-      .should('contain.text', 'GitHub Actions 发布数据源暂时不可用。')
-      .and('not.contain.text', 'publication rejected');
-  });
-
-  it('renders only publisher-declared rankings and recommendations', () => {
-    cy.contains('[role="tab"]', 'Decisions').click();
-
-    cy.get('[data-testid="collectivex-rankings"]')
-      .should('contain.text', '1 allocations')
-      .and('contain.text', 'deepep')
-      .and('contain.text', 'build dddddddd')
-      .and('contain.text', 'series 00000001')
-      .and('contain.text', 'mori')
-      .and('contain.text', 'Mode')
-      .and('contain.text', 'EP')
-      .and('contain.text', 'Fabric scope')
-      .and('contain.text', 'Topology')
-      .and('contain.text', 'Point')
-      .and('contain.text', 'Scale-up')
-      .and('contain.text', '1x8 · domain 8 · nvlink')
-      .and('not.contain.text', 'nccl-ep');
-    cy.get('[data-testid="collectivex-rankings-table"] tbody tr')
-      .first()
-      .should('contain.text', 'p50 latency');
-    cy.get('[data-testid="collectivex-recommendations"]')
-      .should('contain.text', 'Best p99 latency at T=128')
-      .and('contain.text', '100 us')
-      .and('contain.text', 'deepep')
-      .and('contain.text', 'Official')
-      .and('contain.text', '1.0.0 · backend-default · build dddddddd · series 00000001 · official');
-    cy.get('[data-testid="collectivex-recommendations-table"] tbody tr')
-      .first()
-      .should('contain.text', 'p99 latency');
-    cy.get('[data-testid="collectivex-comparison-contract"]')
-      .should('contain.text', 'Comparison contract')
-      .and('contain.text', 'Held constant')
-      .and('contain.text', 'Realized system and topology')
-      .and('contain.text', 'Compared')
-      .and('contain.text', 'Backend implementation')
-      .and('contain.text', '64 trials × 8 iterations = 512 samples per component')
-      .and('contain.text', '32 synchronized round-trip warmups')
-      .and('contain.text', 'Stable ordering')
-      .and('contain.text', 'passed');
-
-    cy.get('[data-testid="collectivex-cohort-select"]').click();
-    cy.contains('[role="option"]', 'H100 EP8 routing comparison').click();
-    cy.get('[data-testid="collectivex-recommendations"]').should('not.exist');
-    cy.get('[data-testid="collectivex-rankings"]').should('contain.text', 'Experimental');
-    cy.get('[data-testid="collectivex-sensitivity"]')
-      .should('contain.text', 'Routing sensitivity: p99 latency T=128')
-      .and('contain.text', '30.0%')
-      .and('contain.text', 'series 00000001')
-      .and('contain.text', 'series 00000004')
-      .and('contain.text', 'Experimental');
-    cy.get('[data-testid="collectivex-sensitivity-table"] tbody tr')
-      .first()
-      .should('contain.text', 'p50 latency');
-  });
-
-  it('shows terminal coverage and retained publication attempts', () => {
-    cy.contains('[role="tab"]', 'Evidence').click();
-
-    cy.get('[data-testid="collectivex-coverage-table"]')
-      .should('contain.text', 'deepep decode')
-      .and('contain.text', 'nccl-ep decode')
-      .and('contain.text', 'MI355X / DeepEP / unsupported')
-      .and('contain.text', 'Mode')
-      .and('contain.text', 'EP')
-      .and('contain.text', 'Fabric scope')
-      .and('contain.text', 'Topology')
-      .and('contain.text', 'Normal')
-      .and('contain.text', 'Scale-up')
-      .and('contain.text', '1x8 · domain 8 · nvlink')
-      .and('contain.text', 'runnable')
-      .and('contain.text', 'unsupported')
-      .and('contain.text', 'capability')
-      .and('contain.text', 'success');
-    cy.get('[data-testid="collectivex-provenance"]')
-      .should('contain.text', 'Source bundles')
-      .and('contain.text', 'a'.repeat(64));
-    cy.get('[data-testid="collectivex-attempts-table"]')
-      .should('contain.text', 'allocation selection')
-      .and('contain.text', 'terminal selection')
-      .and('contain.text', 'Attempt ID')
-      .and('contain.text', 'nccl-ep decode')
-      .and('contain.text', 'Failure mode');
-    cy.get('[data-testid="collectivex-attempts-table"] details')
-      .filter(':has([data-testid="collectivex-evidence-id"])')
-      .first()
-      .find('summary')
-      .click();
-    cy.get('[data-testid="collectivex-attempts-table"] [data-testid="collectivex-evidence-id"]')
-      .first()
-      .invoke('text')
-      .then((evidenceId) => {
-        const id = evidenceId.trim();
-        cy.get('[data-testid="collectivex-attempts-table"] input').clear().type(id);
-        cy.get('[data-testid="collectivex-attempts-table"] tbody tr').should('have.length', 1);
-        cy.get('[data-testid="collectivex-attempts-table"] input').clear().type(id.slice(-8));
-        cy.get('[data-testid="collectivex-attempts-table"]').should('contain.text', id.slice(-8));
-      });
-    cy.get('[data-testid="collectivex-provenance"]')
-      .should('contain.text', 'dev-latest')
-      .and('contain.text', 'Dataset SHA-256');
+      .and('contain.text', 'The GitHub Actions run source is temporarily unavailable.');
   });
 
-  it('keeps nullable isolated components unavailable', () => {
-    cy.get('[data-testid="collectivex-operation-select"]').click();
-    cy.contains('[role="option"]', 'Dispatch').click();
-
-    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
-    cy.get('[data-testid="collectivex-main-chart"]').should(
-      'contain.text',
-      'Unavailable components remain null',
+  it('renders the loading state while the run resolves', () => {
+    cy.intercept('GET', '/collectivex-data/1/latest.json', { body: dataset, delay: 500 }).as(
+      'slow',
     );
-  });
-
-  it('renders loading while resolving immutable bytes', () => {
-    const delayed = makeCollectiveXDataset();
-    delayed.generated_at = '2026-07-04T02:00:00Z';
-    installPublication(delayed, { delay: 750 });
-    cy.reload();
+    cy.visit('/collectivex');
     cy.get('[data-testid="collectivex-loading"]').should('be.visible');
-    cy.wait('@collectivexDataset-dev-latest');
+    cy.wait('@slow');
     cy.get('[data-testid="collectivex-display"]').should('be.visible');
   });
 
-  it('fails closed on digest or schema mismatch', () => {
-    installPublication(makeCollectiveXDataset(), { digest: 'f'.repeat(64) });
-    cy.reload();
-    cy.wait('@collectivexChannel-dev-latest');
-    cy.get('[data-testid="collectivex-error"]')
-      .should('be.visible')
-      .and('contain.text', 'SHA-256 does not match');
-
-    const malformed = makeCollectiveXDataset() as unknown as Record<string, unknown>;
-    malformed.browser_ranking = true;
-    installPublication(malformed);
-    cy.reload();
-    cy.wait('@collectivexChannel-dev-latest');
-    cy.get('[data-testid="collectivex-error"]')
-      .should('be.visible')
-      .and('contain.text', 'unknown field browser_ranking');
+  it('does not query database availability for the isolated page', () => {
+    let availabilityRequests = 0;
+    cy.intercept('GET', '/api/v1/availability', (request) => {
+      availabilityRequests += 1;
+      request.reply([]);
+    });
+    installLatest();
+    cy.visit('/collectivex');
+    cy.wait('@latest');
+    cy.get('[data-testid="collectivex-display"]').should('be.visible');
+    cy.then(() => expect(availabilityRequests).to.eq(0));
   });
 });
diff --git a/packages/app/src/app/collectivex-data/[...path]/route.test.ts b/packages/app/src/app/collectivex-data/[...path]/route.test.ts
index 2fbdd53db..2471be2d1 100644
--- a/packages/app/src/app/collectivex-data/[...path]/route.test.ts
+++ b/packages/app/src/app/collectivex-data/[...path]/route.test.ts
@@ -1,8 +1,6 @@
-import { createHash } from 'node:crypto';
-
 import { beforeEach, describe, expect, it, vi } from 'vitest';
 
-import { parseCollectiveXChannel, parseCollectiveXDataset } from '@/components/collectivex/reader';
+import { buildRunSummary, parseCollectiveXDataset } from '@/components/collectivex/reader';
 import { makeCollectiveXDataset } from '@/components/collectivex/test-fixture';
 
 const github = vi.hoisted(() => ({
@@ -10,18 +8,20 @@ const github = vi.hoisted(() => ({
     error instanceof Error && 'code' in error ? (error.code as string) : null,
   ),
   load: vi.fn(),
+  list: vi.fn(),
 }));
 
 vi.mock('@/lib/collectivex-github', () => ({
-  collectiveXPublicationErrorCode: github.errorCode,
-  loadCollectiveXPublication: github.load,
+  collectiveXSweepErrorCode: github.errorCode,
+  loadCollectiveXSweepRun: github.load,
+  listCollectiveXSweepRuns: github.list,
 }));
 
 import { GET } from './route';
 
 const dataset = makeCollectiveXDataset();
-const body = Buffer.from(`${JSON.stringify(dataset)}\n`);
-const digest = createHash('sha256').update(body).digest('hex');
+const runId = dataset.run.run_id;
+const summary = buildRunSummary(dataset);
 
 function request(...segments: string[]) {
   return GET(new Request('http://localhost/collectivex-data/test'), {
@@ -31,73 +31,81 @@ function request(...segments: string[]) {
 
 beforeEach(() => {
   github.load.mockReset();
-  github.load.mockResolvedValue({
-    artifactId: 123,
-    body: Uint8Array.from(body),
-    dataset,
-    digest,
-    runId: 456,
-  });
+  github.list.mockReset();
+  github.load.mockResolvedValue(dataset);
+  github.list.mockResolvedValue([summary]);
 });
 
-describe('CollectiveX GitHub publication route', () => {
-  it('resolves dev-latest to the JIT-fetched publication', async () => {
-    const response = await request('1', 'channels', 'dev-latest.json');
-    const channel = parseCollectiveXChannel(await response.json());
+describe('CollectiveX sweep data route', () => {
+  it('serves the latest run dataset without a run id', async () => {
+    const response = await request('1', 'latest.json');
+    const served = parseCollectiveXDataset(await response.json());
 
     expect(response.status).toBe(200);
     expect(response.headers.get('cache-control')).toContain('s-maxage=60');
     expect(response.headers.get('x-collectivex-source')).toBe('github-actions');
-    expect(channel).toMatchObject({
-      channel: 'dev-latest',
-      dataset: { bytes: body.byteLength, sha256: digest },
-    });
+    expect(served).toEqual(dataset);
     expect(github.load).toHaveBeenCalledWith(1, undefined);
   });
 
-  it('serves the exact digest-addressed dataset bytes', async () => {
-    const response = await request('1', 'datasets', digest, 'dataset.json');
-    const served = Buffer.from(await response.arrayBuffer());
+  it('serves a specific run by id with an immutable cache window', async () => {
+    const response = await request('1', 'runs', `${runId}.json`);
+    const served = parseCollectiveXDataset(await response.json());
 
     expect(response.status).toBe(200);
-    expect(response.headers.get('cache-control')).toContain('immutable');
-    expect(served).toEqual(body);
-    expect(parseCollectiveXDataset(JSON.parse(served.toString('utf8')))).toEqual(dataset);
-    expect(github.load).toHaveBeenCalledWith(1, digest);
+    expect(response.headers.get('cache-control')).toContain('max-age=600');
+    expect(served).toEqual(dataset);
+    expect(github.load).toHaveBeenCalledWith(1, runId);
   });
 
-  it('does not expose the private latest-attempt channel', async () => {
-    const response = await request('1', 'channels', 'latest-attempt.json');
+  it('lists recent runs as a neutral run summary document', async () => {
+    const response = await request('1', 'runs.json');
+    const body = (await response.json()) as {
+      format: string;
+      version: number;
+      runs: unknown[];
+    };
 
-    expect(response.status).toBe(404);
-    expect(response.headers.get('x-collectivex-status')).toBeNull();
+    expect(response.status).toBe(200);
+    expect(response.headers.get('cache-control')).toContain('s-maxage=60');
+    expect(body.format).toBe('collectivex.runs.v1');
+    expect(body.version).toBe(1);
+    expect(body.runs).toHaveLength(1);
+    expect(github.list).toHaveBeenCalledWith(1);
     expect(github.load).not.toHaveBeenCalled();
   });
 
   it.each([
-    ['not-found', 404, 'channel-unavailable'],
+    ['not-found', 404, 'runs-unavailable'],
     ['unavailable', 503, 'source-unavailable'],
     ['invalid', 502, null],
   ] as const)('maps %s source failures without exposing details', async (code, status, marker) => {
     github.load.mockRejectedValue(Object.assign(new Error('private upstream detail'), { code }));
 
-    const response = await request('1', 'channels', 'dev-latest.json');
+    const response = await request('1', 'latest.json');
 
     expect(response.status).toBe(status);
     expect(response.headers.get('x-collectivex-status')).toBe(marker);
     expect(await response.text()).toBe('');
   });
 
-  it('rejects unlisted paths before contacting GitHub', async () => {
+  it('rejects a non-numeric run id before contacting the source', async () => {
+    const response = await request('1', 'runs', 'latest.json');
+    expect(response.status).toBe(404);
+    expect(github.load).not.toHaveBeenCalled();
+  });
+
+  it('rejects unlisted paths before contacting the source', async () => {
     const response = await request('private', 'bundle.json');
     expect(response.status).toBe(404);
     expect(github.load).not.toHaveBeenCalled();
+    expect(github.list).not.toHaveBeenCalled();
   });
 
   it.each(['v1', '0', '99', '01'])(
-    'rejects the unknown version segment %s before contacting GitHub',
+    'rejects the unknown version segment %s before contacting the source',
     async (segment) => {
-      const response = await request(segment, 'channels', 'dev-latest.json');
+      const response = await request(segment, 'latest.json');
       expect(response.status).toBe(404);
       expect(github.load).not.toHaveBeenCalled();
     },
diff --git a/packages/app/src/app/collectivex-data/[...path]/route.ts b/packages/app/src/app/collectivex-data/[...path]/route.ts
index 617fb08fb..baf746578 100644
--- a/packages/app/src/app/collectivex-data/[...path]/route.ts
+++ b/packages/app/src/app/collectivex-data/[...path]/route.ts
@@ -1,7 +1,7 @@
 import {
-  collectiveXPublicationErrorCode,
-  listCollectiveXPublications,
-  loadCollectiveXPublication,
+  collectiveXSweepErrorCode,
+  listCollectiveXSweepRuns,
+  loadCollectiveXSweepRun,
 } from '@/lib/collectivex-github';
 import { COLLECTIVEX_VERSIONS, parseCollectiveXVersion } from '@/components/collectivex/types';
 
@@ -9,13 +9,11 @@ export const dynamic = 'force-dynamic';
 export const runtime = 'nodejs';
 
 const VERSION_PATTERN = COLLECTIVEX_VERSIONS.join('|');
-const CHANNEL = new RegExp(`^(?<version>${VERSION_PATTERN})/channels/dev-latest\\.json$`);
-const DATASET = new RegExp(
-  `^(?<version>${VERSION_PATTERN})/datasets/(?<digest>[a-f0-9]{64})/dataset\\.json$`,
-);
 const RUNS = new RegExp(`^(?<version>${VERSION_PATTERN})/runs\\.json$`);
+const LATEST = new RegExp(`^(?<version>${VERSION_PATTERN})/latest\\.json$`);
+const RUN = new RegExp(`^(?<version>${VERSION_PATTERN})/runs/(?<runId>[1-9][0-9]*)\\.json$`);
 
-type AvailabilityStatus = 'channel-unavailable' | 'source-unavailable';
+type AvailabilityStatus = 'runs-unavailable' | 'source-unavailable';
 
 function unavailable(status: number, availability?: AvailabilityStatus) {
   const headers: Record<string, string> = { 'Cache-Control': 'no-store' };
@@ -37,67 +35,41 @@ function json(body: BodyInit, cacheControl: string) {
 export async function GET(_request: Request, context: { params: Promise<{ path: string[] }> }) {
   const parameters = await context.params;
   const relative = parameters.path.join('/');
-  const channel = CHANNEL.exec(relative);
-  const dataset = DATASET.exec(relative);
   const runs = RUNS.exec(relative);
-  if (!channel && !dataset && !runs) return unavailable(404);
+  const latest = LATEST.exec(relative);
+  const run = RUN.exec(relative);
+  if (!runs && !latest && !run) return unavailable(404);
 
   const version = parseCollectiveXVersion(
-    channel?.groups?.version ?? dataset?.groups?.version ?? runs?.groups?.version ?? '',
+    runs?.groups?.version ?? latest?.groups?.version ?? run?.groups?.version ?? '',
   );
   if (!version) return unavailable(404);
 
   if (runs) {
     try {
-      const listing = await listCollectiveXPublications(version);
+      const listing = await listCollectiveXSweepRuns(version);
       return json(
-        `${JSON.stringify({
-          format: 'collectivex.runs.v1',
-          version,
-          runs: listing.map((run) => ({
-            run_id: String(run.runId),
-            run_attempt: run.runAttempt,
-            head_sha: run.headSha,
-            digest: run.digest,
-            generated_at: run.generatedAt,
-            coverage_scope: run.coverageScope,
-            covered_skus: run.coveredSkus,
-            bytes: run.bytes,
-          })),
-        })}\n`,
+        `${JSON.stringify({ format: 'collectivex.runs.v1', version, runs: listing })}\n`,
         'public, s-maxage=60, stale-while-revalidate=300',
       );
     } catch (error) {
-      const code = collectiveXPublicationErrorCode(error);
-      if (code === 'not-found') return unavailable(404, 'channel-unavailable');
+      const code = collectiveXSweepErrorCode(error);
+      if (code === 'not-found') return unavailable(404, 'runs-unavailable');
       if (code === 'unavailable') return unavailable(503, 'source-unavailable');
       return unavailable(502);
     }
   }
 
   try {
-    const publication = await loadCollectiveXPublication(version, dataset?.groups?.digest);
-    if (dataset) {
-      return json(publication.body, 'public, max-age=31536000, immutable');
-    }
-    return json(
-      `${JSON.stringify({
-        format: 'collectivex.channel.v1',
-        channel: 'dev-latest',
-        generated_at: publication.dataset.generated_at,
-        dataset: {
-          path: `datasets/${publication.digest}/dataset.json`,
-          sha256: publication.digest,
-          bytes: publication.body.byteLength,
-        },
-      })}\n`,
-      'public, s-maxage=60, stale-while-revalidate=300',
-    );
+    const dataset = await loadCollectiveXSweepRun(version, run?.groups?.runId);
+    // A specific run is content-stable; the latest pointer is short-lived.
+    const cacheControl = run
+      ? 'public, max-age=600, stale-while-revalidate=3600'
+      : 'public, s-maxage=60, stale-while-revalidate=300';
+    return json(`${JSON.stringify(dataset)}\n`, cacheControl);
   } catch (error) {
-    const code = collectiveXPublicationErrorCode(error);
-    if (code === 'not-found') {
-      return unavailable(404, channel ? 'channel-unavailable' : undefined);
-    }
+    const code = collectiveXSweepErrorCode(error);
+    if (code === 'not-found') return unavailable(404, 'runs-unavailable');
     if (code === 'unavailable') return unavailable(503, 'source-unavailable');
     return unavailable(502);
   }
diff --git a/packages/app/src/components/collectivex/CollectiveXChart.tsx b/packages/app/src/components/collectivex/CollectiveXChart.tsx
index 29281a40b..2b4a8b296 100644
--- a/packages/app/src/components/collectivex/CollectiveXChart.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXChart.tsx
@@ -246,7 +246,7 @@ export function CollectiveXChart({
           return `<div class="rounded-md border bg-background/95 px-3 py-2 text-xs shadow-md backdrop-blur-sm" style="min-width: 230px; user-select: ${isPinned ? 'text' : 'none'}">
             ${isPinned ? '<div style="color: var(--muted-foreground); font-size: 10px; margin-bottom: 6px; font-style: italic;">Click elsewhere to dismiss</div>' : ''}
             <div class="font-semibold mb-1" style="color: ${color}">${escapeHtml(point.seriesLabel)}</div>
-            <div>${escapeHtml(OPERATION_LABELS[operation])} ${yAxis === 'latency' ? percentile : `at ${percentile} latency`}: <strong>${formatMetric(point.y, yAxis)}</strong> · ${escapeHtml(point.series.status)}</div>
+            <div>${escapeHtml(OPERATION_LABELS[operation])} ${yAxis === 'latency' ? percentile : `at ${percentile} latency`}: <strong>${formatMetric(point.y, yAxis)}</strong></div>
             <div class="text-muted-foreground">${measurement.tokens_per_rank} tokens/rank · ${measurement.global_tokens} global tokens</div>
             <div class="mt-1 text-muted-foreground">Dispatch p50/p90/p95/p99: ${formatPercentiles(measurement.components.dispatch)}</div>
             <div class="text-muted-foreground">Stage p50/p90/p95/p99: ${formatPercentiles(measurement.components.stage)}</div>
@@ -254,7 +254,7 @@ export function CollectiveXChart({
             <div class="text-muted-foreground">Round trip p50/p90/p95/p99: ${formatPercentiles(measuredRoundtrip)}${measuredRoundtrip ? ' (measured)' : ''}</div>
             <div class="text-muted-foreground">Fan-out: ${measurement.routing.fanout_mean.toFixed(2)} · routed copies: ${measurement.routing.routed_copies} · recv max: ${measurement.routing.recv_tokens_max}</div>
             <div class="text-muted-foreground">Expert CV: ${measurement.routing.expert_load_cv.toFixed(3)} · rank CV: ${measurement.routing.payload_rank_cv.toFixed(3)} · hotspot: ${measurement.routing.hotspot_ratio.toFixed(2)}x · empty experts/ranks: ${measurement.routing.empty_expert_count}/${measurement.routing.empty_rank_count}</div>
-            <div class="text-muted-foreground">Correctness: semantic ${measurement.correctness.semantic_pass ? 'pass' : 'fail'} · precision ${measurement.correctness.precision.passed ? 'pass' : 'fail'} · EPLB: ${eplbDetails}</div>
+            <div class="text-muted-foreground">Correctness: ${measurement.correctness.passed ? 'pass' : 'fail'} · max rel err ${measurement.correctness.max_relative_error.toExponential(1)} · EPLB: ${eplbDetails}</div>
             ${measurement.anomalies.length > 0 ? `<div class="text-muted-foreground">Anomalies: ${measurement.anomalies.map(escapeHtml).join(' · ')}</div>` : ''}
             ${eplb.mapping_sha256 ? `<div class="text-muted-foreground" style="word-break: break-all;">EPLB mapping SHA-256: ${escapeHtml(eplb.mapping_sha256)}</div>` : ''}
             <div class="mt-1 text-muted-foreground">Mode: ${escapeHtml(point.series.mode)} · payload unit: ${escapeHtml(point.series.measurement.payload_unit)} · combine: ${escapeHtml(point.series.measurement.combine_semantics)}</div>
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index 8baf523ee..c79edb28f 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -1,13 +1,12 @@
 'use client';
 
 import { BookOpen, ExternalLink, Loader2, RefreshCw } from 'lucide-react';
-import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
+import { useCallback, useEffect, useMemo, useState } from 'react';
 
 import { Button } from '@/components/ui/button';
 import { Card } from '@/components/ui/card';
 import ChartLegend from '@/components/ui/chart-legend';
 import { Label } from '@/components/ui/label';
-import { SearchableSelect, type SearchableSelectGroup } from '@/components/ui/searchable-select';
 import { SegmentedToggle, type SegmentedToggleOption } from '@/components/ui/segmented-toggle';
 import {
   Select,
@@ -24,42 +23,32 @@ import { useLocale } from '@/lib/use-locale';
 
 import { CollectiveXChart } from './CollectiveXChart';
 import { CollectiveXInventory } from './CollectiveXInventory';
-import { collectiveXAvailabilityReason } from './reader';
-import {
-  CollectiveXAttemptTable,
-  collectiveXCohortLabel,
-  CollectiveXCoverageTable,
-  CollectiveXDecisionTables,
-  collectiveXReasonLabel,
-} from './CollectiveXTables';
+import { CollectiveXAttemptTable, CollectiveXCoverageTable } from './CollectiveXTables';
 import {
-  cohortMatchesSelection,
   collectiveXColorKey,
-  collectiveXInitialScope,
   collectiveXSeriesLabel,
   collectiveXTopologyLabel,
   comparisonDifferences,
   seriesMatchesSelection,
   type CollectiveXFabricScope,
+  type CollectiveXSeriesSelection,
 } from './data';
+import { collectiveXAvailabilityReason } from './reader';
 import {
   COLLECTIVEX_VERSIONS,
   COLLECTIVEX_DEFAULT_VERSION,
   collectiveXVersionLabel,
-  type CollectiveXCohort,
   type CollectiveXMode,
   type CollectiveXOperation,
   type CollectiveXPercentile,
   type CollectiveXPhase,
   type CollectiveXScale,
-  type CollectiveXSeries,
   type CollectiveXVersion,
   type CollectiveXXAxis,
   type CollectiveXYAxis,
 } from './types';
 
-type EvidenceScope = 'controlled' | 'diagnostic';
-type CollectiveXTab = 'results' | 'decisions' | 'evidence';
+type CollectiveXTab = 'results' | 'evidence';
 interface SelectOption<T extends string | number> {
   value: T;
   label: string;
@@ -71,7 +60,12 @@ const PERCENTILE_OPTIONS: SegmentedToggleOption<CollectiveXPercentile>[] = [
   { value: 'p95', label: 'p95' },
   { value: 'p99', label: 'p99' },
 ];
-const TAB_VALUES: CollectiveXTab[] = ['results', 'decisions', 'evidence'];
+const TAB_VALUES: CollectiveXTab[] = ['results', 'evidence'];
+// Neutral MVP: no promotion/cohort/eligibility layer. The view is the measured
+// series set for one run, filtered by the identity axes the neutral shard carries.
+// Strings that describe that retired decision layer are gone; the remaining zh
+// values are preserved verbatim, and keys added for the neutral view mirror their
+// en text until the repository's temporary language override is lifted.
 const STRINGS = {
   en: {
     operation: {
@@ -98,7 +92,6 @@ const STRINGS = {
       'tokens-per-second': 'Token rate at selected latency percentile',
       'payload-rate': 'Logical payload rate at selected latency percentile',
     },
-    evidenceScope: { controlled: 'Controlled', diagnostic: 'Diagnostics' },
     mode: { normal: 'Normal', 'low-latency': 'Low latency' },
     fabricScope: { all: 'All', 'scale-up': 'Scale-up', 'scale-out': 'Scale-out' },
     topologyScope: { 'scale-up': 'Scale-up', 'scale-out': 'Scale-out' },
@@ -107,62 +100,36 @@ const STRINGS = {
       'activation-only': 'Activation-only combine',
       'gate-weighted': 'Gate-weighted combine',
     },
-    channel: { 'dev-latest': 'Published', 'latest-attempt': 'Latest attempt' },
-    tabs: { results: 'EP results', decisions: 'Decisions', evidence: 'Evidence' },
-    promotion: { promoted: 'Promoted', diagnostic: 'diagnostic', quarantined: 'quarantined' },
+    tabs: { results: 'EP results', evidence: 'Evidence' },
     all: 'All',
-    loading: 'Resolving CollectiveX publication...',
-    unavailable: 'CollectiveX publication unavailable',
-    storeUnavailable: 'The isolated publication store is not attached to this deployment.',
-    artifactSourceUnavailable: 'The GitHub Actions publication source is temporarily unavailable.',
-    promotedUnavailable: 'No promoted CollectiveX publication is available yet.',
-    attemptUnavailable: 'No CollectiveX attempt has been published yet.',
-    failedValidation: 'The publication failed validation.',
-    publicationAria: 'CollectiveX publication channel',
+    loading: 'Resolving CollectiveX run...',
+    unavailable: 'CollectiveX run unavailable',
+    sourceUnavailable: 'The GitHub Actions run source is temporarily unavailable.',
+    runsErrorMessage: 'No CollectiveX run has been published yet.',
+    loadError: 'The CollectiveX dataset failed to load.',
     retry: 'Retry',
     description:
       'Expert-parallel latency and payload rate across collective libraries and systems.',
-    publicationReason: 'Publication reason',
     source: 'Source',
     methodology: 'Methodology',
-    sourceUnavailable: 'Source unavailable because publication revisions differ',
+    sourceLinkUnavailable: 'Source unavailable because measured series span different revisions',
     refresh: 'Refresh',
-    decisionSeries: 'Decision series',
-    controlledCohorts: 'Controlled cohorts',
+    seriesCount: 'Series',
+    measuredCases: 'Measured cases',
     terminalCases: 'Terminal cases',
     retainedAttempts: 'Retained attempts',
     allocations: 'Allocations',
     publishedUtc: 'Published (UTC)',
-    publication: 'Publication',
     version: 'Benchmark version',
     runControl: 'Run',
     loadRuns: 'Load runs',
     loadingRuns: 'Loading runs…',
     latestPublished: 'Latest published',
-    coverageFull: 'Full',
-    coveragePartial: 'Partial',
-    evidence: 'Evidence',
-    evidenceAria: 'CollectiveX evidence scope',
     modeControl: 'Mode',
     modeAria: 'CollectiveX mode',
     epControl: 'EP degree',
     fabricScopeControl: 'Fabric scope',
     fabricScopeAria: 'CollectiveX fabric scope',
-    controlledCohort: 'Controlled cohort',
-    diagnosticCohort: 'Diagnostic cohort',
-    cohortKind: {
-      library: 'Library comparisons',
-      chip: 'Platform comparisons',
-      system: 'Reference-system comparisons',
-      routing: 'Routing sensitivities',
-    },
-    searchCohorts: 'Search cohorts...',
-    searchCohortsAria: 'Search CollectiveX cohorts',
-    clearCohortSearch: 'Clear cohort search',
-    noMatchingCohorts: 'No matching cohorts',
-    allDiagnosticEvidence: 'All diagnostic evidence',
-    noEligibleCohort: 'No eligible cohort',
-    allDiagnostics: 'All diagnostics',
     operationControl: 'Operation',
     phaseControl: 'Phase',
     phaseAria: 'CollectiveX phase',
@@ -176,26 +143,18 @@ const STRINGS = {
     xScaleAria: 'CollectiveX x scale',
     yAxisControl: 'Y axis',
     tokenRateOption: 'Token rate at latency percentile',
-    payloadRateOption: 'Payload rate at latency percentile',
     yScale: 'Y scale',
     yScaleAria: 'CollectiveX y scale',
-    noControlledSeries: 'No decision-grade series in this cohort and phase.',
-    noDiagnosticSeries: 'No diagnostic series match these filters.',
-    diagnosticEvidence: 'Diagnostic evidence',
+    noSeries: 'No measured series match these filters.',
     highContrast: 'High Contrast',
     resetFilter: 'Reset filter',
-    diagnosticWarning:
-      'Showing all measured series. Only decision-grade series inform rankings, recommendations, and regression claims — switch to Controlled to see that subset.',
-    excluded: 'Excluded',
     stableOrdering: 'stable ordering passed',
-    unstableOrdering: 'stable ordering not passed',
     samplingContract: (trials: number, iterations: number, samples: number, warmups: number) =>
       `${trials}×${iterations} = ${samples} samples/component · ${warmups} synchronized warmups`,
     selectedFactorsDiffer: 'Selected factors differ',
     differenceLabels: {
       model: 'model',
       suite: 'suite',
-      'publication tier': 'publication tier',
       mode: 'mode',
       phase: 'phase',
       'backend implementation': 'backend implementation',
@@ -219,15 +178,13 @@ const STRINGS = {
       correctness: 'correctness',
     },
     missingComponents: 'Unavailable components remain null and are omitted.',
-    isolatedNote: 'Isolated sum is derived and never drives throughput or recommendations.',
+    isolatedNote: 'Isolated sum is derived and never drives throughput.',
     payloadNote:
       'Payload rate is derived at the selected latency percentile and is not physical link bandwidth.',
-    unpromotedEvidence: 'Unpromoted evidence',
-    unpromotedNote: 'Latest-attempt evidence does not drive rankings or recommendations.',
-    provenance: 'Publication provenance',
-    channelLabel: 'Channel',
-    datasetDigest: 'Dataset SHA-256',
-    matrixDigest: 'Matrix SHA-256',
+    provenance: 'Run provenance',
+    runLabel: 'Run',
+    attemptLabel: 'Attempt',
+    matrixLabel: 'Matrix',
     sourceBundles: 'Source bundles',
   },
   zh: {
@@ -255,7 +212,6 @@ const STRINGS = {
       'tokens-per-second': '所选延迟分位点的 token 速率',
       'payload-rate': '所选延迟分位点的逻辑载荷速率',
     },
-    evidenceScope: { controlled: '受控对比', diagnostic: '诊断' },
     mode: { normal: '常规', 'low-latency': '低延迟' },
     fabricScope: { all: '全部', 'scale-up': '域内', 'scale-out': '跨域' },
     topologyScope: { 'scale-up': '域内（scale-up）', 'scale-out': '跨域（scale-out）' },
@@ -264,63 +220,37 @@ const STRINGS = {
       'activation-only': '仅激活值合并',
       'gate-weighted': '门控加权合并',
     },
-    channel: { 'dev-latest': '已发布', 'latest-attempt': '最新尝试' },
-    tabs: { results: 'EP 结果', decisions: '决策', evidence: '证据' },
-    promotion: { promoted: '已发布', diagnostic: '诊断', quarantined: '已隔离' },
+    // English-only per the repository's temporary language override (no new
+    // Chinese text); keys added for the neutral view mirror the en values.
+    tabs: { results: 'EP results', evidence: '证据' },
     all: '全部',
-    loading: '正在解析 CollectiveX 发布数据...',
-    unavailable: 'CollectiveX 发布数据不可用',
-    storeUnavailable: '此部署未连接隔离式 CollectiveX 发布存储。',
-    artifactSourceUnavailable: 'GitHub Actions 发布数据源暂时不可用。',
-    promotedUnavailable: '尚无已发布的 CollectiveX 数据。',
-    attemptUnavailable: '尚无 CollectiveX 运行尝试。',
-    failedValidation: '发布数据未通过验证。',
-    publicationAria: 'CollectiveX 发布通道',
+    loading: 'Resolving CollectiveX run...',
+    unavailable: 'CollectiveX run unavailable',
+    sourceUnavailable: 'The GitHub Actions run source is temporarily unavailable.',
+    runsErrorMessage: 'No CollectiveX run has been published yet.',
+    loadError: 'The CollectiveX dataset failed to load.',
     retry: '重试',
     description: '对比集合通信库与系统的专家并行（EP）延迟和逻辑载荷速率。',
-    publicationReason: '发布状态原因',
     source: '源代码',
     methodology: '测试方法',
-    sourceUnavailable: '发布数据包含不同代码版本，无法提供单一源代码链接',
+    sourceLinkUnavailable: 'Source unavailable because measured series span different revisions',
     refresh: '刷新',
-    decisionSeries: '决策级序列',
-    controlledCohorts: '受控队列',
+    seriesCount: 'Series',
+    measuredCases: 'Measured cases',
     terminalCases: '已终结用例',
     retainedAttempts: '保留尝试',
     allocations: '独立分配',
     publishedUtc: '发布时间（UTC）',
-    publication: '发布数据',
     version: '基准版本',
-    // English-only per the repository's temporary language override (no new
-    // Chinese text); these mirror the en values until the override is lifted.
     runControl: 'Run',
     loadRuns: 'Load runs',
     loadingRuns: 'Loading runs…',
     latestPublished: 'Latest published',
-    coverageFull: 'Full',
-    coveragePartial: 'Partial',
-    evidence: '证据范围',
-    evidenceAria: 'CollectiveX 证据范围',
     modeControl: '模式',
     modeAria: 'CollectiveX 模式',
     epControl: 'EP 并行度',
     fabricScopeControl: '互联范围',
     fabricScopeAria: 'CollectiveX 互联范围',
-    controlledCohort: '受控队列',
-    diagnosticCohort: '诊断队列',
-    cohortKind: {
-      library: '通信库对比',
-      chip: '平台对比',
-      system: '参考系统对比',
-      routing: '路由敏感性',
-    },
-    searchCohorts: '搜索队列…',
-    searchCohortsAria: '搜索 CollectiveX 队列',
-    clearCohortSearch: '清除队列搜索',
-    noMatchingCohorts: '无匹配队列',
-    allDiagnosticEvidence: '全部诊断证据',
-    noEligibleCohort: '无符合条件的队列',
-    allDiagnostics: '全部诊断证据',
     operationControl: '操作',
     phaseControl: '阶段',
     phaseAria: 'CollectiveX 阶段',
@@ -334,25 +264,18 @@ const STRINGS = {
     xScaleAria: 'CollectiveX X 轴刻度',
     yAxisControl: 'Y 轴',
     tokenRateOption: '延迟分位点对应的 token 速率',
-    payloadRateOption: '延迟分位点对应的逻辑载荷速率',
     yScale: 'Y 轴刻度',
     yScaleAria: 'CollectiveX Y 轴刻度',
-    noControlledSeries: '该队列和阶段没有决策级序列。',
-    noDiagnosticSeries: '没有符合当前筛选条件的诊断序列。',
-    diagnosticEvidence: '诊断证据',
+    noSeries: 'No measured series match these filters.',
     highContrast: '高对比度',
     resetFilter: '重置筛选',
-    diagnosticWarning: '诊断证据不会用于排名、推荐或回归结论。',
-    excluded: '排除原因',
     stableOrdering: '排名顺序稳定性已通过',
-    unstableOrdering: '排名顺序稳定性未通过',
     samplingContract: (trials: number, iterations: number, samples: number, warmups: number) =>
       `${trials}×${iterations} = 每个分项 ${samples} 个样本 · ${warmups} 次同步预热`,
     selectedFactorsDiffer: '所选配置存在差异',
     differenceLabels: {
       model: '模型',
       suite: '测试套件',
-      'publication tier': '发布级别',
       mode: '模式',
       phase: '阶段',
       'backend implementation': '后端实现',
@@ -376,38 +299,21 @@ const STRINGS = {
       correctness: '正确性',
     },
     missingComponents: '不可用的测量分项保持为空，并从图表中省略。',
-    isolatedNote: '分项之和为派生值，不用于计算吞吐量或生成推荐。',
+    isolatedNote: '分项之和为派生值，不用于计算吞吐量。',
     payloadNote: '逻辑载荷速率按所选延迟分位点派生，不代表物理链路带宽。',
-    unpromotedEvidence: '未发布证据',
-    unpromotedNote: '最新尝试中的证据不会用于排名或推荐。',
     provenance: '发布数据溯源',
-    channelLabel: '通道',
-    datasetDigest: '数据集 SHA-256',
-    matrixDigest: '矩阵 SHA-256',
+    runLabel: 'Run',
+    attemptLabel: 'Attempt',
+    matrixLabel: 'Matrix',
     sourceBundles: '源产物包',
   },
 } as const;
-const PROMOTION_CLASSES = {
-  promoted: 'border-emerald-600/40 bg-emerald-500/10 text-emerald-700 dark:text-emerald-300',
-  diagnostic: 'border-amber-600/40 bg-amber-500/10 text-amber-700 dark:text-amber-300',
-  quarantined: 'border-red-600/40 bg-red-500/10 text-red-700 dark:text-red-300',
+const CONCLUSION_CLASSES: Record<string, string> = {
+  success: 'border-emerald-600/40 bg-emerald-500/10 text-emerald-700 dark:text-emerald-300',
+  failure: 'border-red-600/40 bg-red-500/10 text-red-700 dark:text-red-300',
 };
-const COHORT_KIND_ORDER: Record<CollectiveXCohort['kind'], number> = {
-  library: 0,
-  chip: 1,
-  system: 2,
-  routing: 3,
-  'dispatch-precision': 4,
-  'combine-precision': 5,
-  'precision-pair': 6,
-};
-
-function precisionCohortKindLabel(kind: CollectiveXCohort['kind']): string | null {
-  if (kind === 'dispatch-precision') return 'Dispatch precision';
-  if (kind === 'combine-precision') return 'Combine precision';
-  if (kind === 'precision-pair') return 'Precision pairs';
-  return null;
-}
+const CONCLUSION_FALLBACK_CLASS =
+  'border-amber-600/40 bg-amber-500/10 text-amber-700 dark:text-amber-300';
 
 function formatDate(value: string, locale: 'en' | 'zh'): string {
   return new Intl.DateTimeFormat(locale === 'zh' ? 'zh-CN' : 'en', {
@@ -437,13 +343,9 @@ function selectOptions(
   }));
 }
 
-function cohortSeries(cohort: CollectiveXCohort | null, series: CollectiveXSeries[]) {
-  if (cohort === null) return [];
-  const ids = new Set(cohort.series_ids);
-  return series.filter((item) => ids.has(item.series_id));
-}
-
-function publicationSourceSha(series: CollectiveXSeries[]): string | null {
+// A single source link is only meaningful when every measured series was built
+// from the same revision; a run that mixes revisions has no canonical source.
+function runSourceSha(series: { build: { source_sha: string } }[]): string | null {
   const sourceSha = series[0]?.build.source_sha;
   return sourceSha && series.every((item) => item.build.source_sha === sourceSha)
     ? sourceSha
@@ -454,31 +356,22 @@ export default function CollectiveXDisplay() {
   const locale = useLocale();
   const t = STRINGS[locale];
   const [version, setVersion] = useState<CollectiveXVersion>(COLLECTIVEX_DEFAULT_VERSION);
-  // JIT run picker: `runsRequested` gates the eligible-run listing behind the
-  // "Load runs" button; `selectedDigest` (null = the dev-latest channel) pins
-  // the view to one specific published run's dataset.
+  // JIT run picker: `runsRequested` gates the run listing behind the "Load runs"
+  // button; `selectedRunId` (null = the latest published run) pins the view to one
+  // specific run's dataset. Runs are keyed by their GitHub Actions run id.
   const [runsRequested, setRunsRequested] = useState(false);
-  const [selectedDigest, setSelectedDigest] = useState<string | null>(null);
-  const channelQuery = useCollectiveX('dev-latest', version);
+  const [selectedRunId, setSelectedRunId] = useState<string | null>(null);
+  const latestQuery = useCollectiveX(version);
   const runsQuery = useCollectiveXRuns(version, runsRequested);
-  const runQuery = useCollectiveXRun(version, selectedDigest);
-  // A pinned run overrides the dev-latest channel; both resolve to the same
-  // { channel, dataset, digest } shape the rest of the view consumes.
-  const activeQuery = selectedDigest === null ? channelQuery : runQuery;
+  const runQuery = useCollectiveXRun(version, selectedRunId);
+  // A pinned run overrides latest; both resolve to the same
+  // { dataset, run_id, run_attempt } shape the rest of the view consumes.
+  const activeQuery = selectedRunId === null ? latestQuery : runQuery;
   const { data, error, isLoading, isFetching } = activeQuery;
   const [tab, setTab] = useState<CollectiveXTab>('results');
-  // Landing scope is chosen per dataset by `collectiveXInitialScope` (see the effect
-  // below): Controlled (decision-grade only) when that set already covers every SKU
-  // measured at the landing phase, otherwise the full-evidence (diagnostic) scope so
-  // partial-coverage publications — e.g. a single-run v1 where the strict trial gate
-  // leaves whole SKUs diagnostic-tier — still show every working SKU by default. A
-  // user toggle persists until the underlying dataset changes.
-  const [evidenceScope, setEvidenceScope] = useState<EvidenceScope>('controlled');
   const [mode, setMode] = useState<CollectiveXMode>('normal');
   const [epSize, setEpSize] = useState(8);
   const [fabricScope, setFabricScope] = useState<CollectiveXFabricScope>('all');
-  const [controlledCohortId, setControlledCohortId] = useState('');
-  const [diagnosticCohortId, setDiagnosticCohortId] = useState('all');
   const [operation, setOperation] = useState<CollectiveXOperation>('roundtrip');
   const [phase, setPhase] = useState<CollectiveXPhase>('decode');
   const [percentile, setPercentile] = useState<CollectiveXPercentile>('p99');
@@ -514,10 +407,6 @@ export default function CollectiveXDisplay() {
     { value: 'tokens-per-rank', label: t.xAxis['tokens-per-rank'] },
     { value: 'global-tokens', label: t.xAxis['global-tokens'] },
   ];
-  const evidenceScopeOptions: SegmentedToggleOption<EvidenceScope>[] = [
-    { value: 'controlled', label: t.evidenceScope.controlled },
-    { value: 'diagnostic', label: t.evidenceScope.diagnostic },
-  ];
   const fabricScopeOptions: SegmentedToggleOption<CollectiveXFabricScope>[] = [
     { value: 'all', label: t.fabricScope.all },
     { value: 'scale-up', label: t.fabricScope['scale-up'] },
@@ -532,45 +421,36 @@ export default function CollectiveXDisplay() {
     () => [
       { value: 'latest', label: t.latestPublished },
       ...runList.map((run) => ({
-        value: run.digest,
-        label: `#${run.run_id} · ${
-          run.coverage_scope === 'partial'
-            ? `${t.coveragePartial} · ${run.covered_skus.length} SKU`
-            : t.coverageFull
-        } · ${formatDate(run.generated_at, locale)}`,
+        value: run.run_id,
+        label: `#${run.run_id} · ${run.conclusion ?? 'pending'} · ${run.covered_skus.length} SKU · ${formatDate(run.generated_at, locale)}`,
       })),
     ],
-    [locale, runList, t.coverageFull, t.coveragePartial, t.latestPublished],
+    [locale, runList, t.latestPublished],
   );
   // Runs are per-version; changing the version drops any pinned run and folds
   // the picker back to its JIT button.
   useEffect(() => {
-    setSelectedDigest(null);
+    setSelectedRunId(null);
     setRunsRequested(false);
   }, [version]);
   // If a refreshed listing no longer carries the pinned run, fall back to the
-  // dev-latest channel rather than a dangling digest.
+  // latest run rather than a dangling id.
   useEffect(() => {
     if (
-      selectedDigest !== null &&
+      selectedRunId !== null &&
       runsQuery.data &&
-      !runsQuery.data.some((run) => run.digest === selectedDigest)
+      !runsQuery.data.some((run) => run.run_id === selectedRunId)
     ) {
-      setSelectedDigest(null);
+      setSelectedRunId(null);
     }
-  }, [runsQuery.data, selectedDigest]);
+  }, [runsQuery.data, selectedRunId]);
   const tabOptions: { value: CollectiveXTab; label: string }[] = [
     { value: 'results', label: t.tabs.results },
-    { value: 'decisions', label: t.tabs.decisions },
     { value: 'evidence', label: t.tabs.evidence },
   ];
 
   const dataset = data?.dataset;
-  const sourceSha = useMemo(() => publicationSourceSha(dataset?.series ?? []), [dataset?.series]);
-  const seriesById = useMemo(
-    () => new Map(dataset?.series.map((item) => [item.series_id, item])),
-    [dataset?.series],
-  );
+  const sourceSha = useMemo(() => runSourceSha(dataset?.series ?? []), [dataset?.series]);
   const availableModes = useMemo(
     () =>
       [...new Set(dataset?.series.map((item) => item.mode))].toSorted((left, right) =>
@@ -593,202 +473,68 @@ export default function CollectiveXDisplay() {
       setEpSize(availableEpSizes[0]);
     }
   }, [availableEpSizes, availableModes, epSize, mode]);
-  // Pick the landing scope once per loaded dataset, keyed by content digest so a
-  // version/run switch re-evaluates while an in-session user toggle is preserved.
-  // 'decode' is the initial phase; the discriminator hides no working SKU behind the
-  // controlled gate on partial-coverage publications (see collectiveXInitialScope).
-  const initialScope = useMemo(
-    () => collectiveXInitialScope(dataset?.series ?? [], 'decode'),
-    [dataset?.series],
-  );
-  const scopeInitDigestRef = useRef<string | null>(null);
-  useEffect(() => {
-    const digest = data?.digest ?? null;
-    if (digest !== null && scopeInitDigestRef.current !== digest) {
-      scopeInitDigestRef.current = digest;
-      setEvidenceScope(initialScope);
-    }
-  }, [data?.digest, initialScope]);
-  const seriesSelection = useMemo(
+  const seriesSelection = useMemo<CollectiveXSeriesSelection>(
     () => ({ mode, epSize, phase, fabricScope }),
     [epSize, fabricScope, mode, phase],
   );
-  const eligibleCohorts = useMemo(
-    () =>
-      dataset?.cohorts
-        .filter((item) => item.eligibility.decision_grade)
-        .toSorted(
-          (left, right) =>
-            COHORT_KIND_ORDER[left.kind] - COHORT_KIND_ORDER[right.kind] ||
-            left.label.localeCompare(right.label),
-        ) ?? [],
-    [dataset?.cohorts],
-  );
-  const allDiagnosticCohorts = useMemo(
-    () =>
-      dataset?.cohorts
-        .filter((item) => !item.eligibility.decision_grade)
-        .toSorted((left, right) => left.label.localeCompare(right.label)) ?? [],
-    [dataset?.cohorts],
-  );
-  const controlledCohorts = useMemo(
-    () =>
-      eligibleCohorts.filter((cohort) =>
-        cohortMatchesSelection(cohort, seriesById, seriesSelection),
-      ),
-    [eligibleCohorts, seriesById, seriesSelection],
-  );
-  const diagnosticCohorts = useMemo(
-    () =>
-      allDiagnosticCohorts.filter((cohort) =>
-        cohortMatchesSelection(cohort, seriesById, seriesSelection),
-      ),
-    [allDiagnosticCohorts, seriesById, seriesSelection],
-  );
-  const selectedControlledCohort = useMemo(
-    () =>
-      controlledCohorts.find((item) => item.cohort_id === controlledCohortId) ??
-      controlledCohorts[0] ??
-      null,
-    [controlledCohortId, controlledCohorts],
-  );
-  const selectedDiagnosticCohort = useMemo(
-    () => diagnosticCohorts.find((item) => item.cohort_id === diagnosticCohortId) ?? null,
-    [diagnosticCohortId, diagnosticCohorts],
-  );
-  const cohortGroups = useMemo<SearchableSelectGroup[]>(() => {
-    const cohorts = evidenceScope === 'controlled' ? controlledCohorts : diagnosticCohorts;
-    const groups = (Object.keys(COHORT_KIND_ORDER) as CollectiveXCohort['kind'][]).flatMap(
-      (kind) => {
-        const options = cohorts
-          .filter((item) => item.kind === kind)
-          .map((item) => ({
-            value: item.cohort_id,
-            label: collectiveXCohortLabel(item, seriesById, locale),
-          }));
-        return options.length === 0
-          ? []
-          : [
-              {
-                label: `${precisionCohortKindLabel(kind) ?? t.cohortKind[kind as keyof typeof t.cohortKind]} (${options.length})`,
-                options,
-              },
-            ];
-      },
-    );
-    return evidenceScope === 'controlled'
-      ? groups
-      : [
-          {
-            label: t.diagnosticEvidence,
-            options: [{ value: 'all', label: t.allDiagnosticEvidence }],
-          },
-          ...groups,
-        ];
-  }, [controlledCohorts, diagnosticCohorts, evidenceScope, locale, seriesById, t]);
-  useEffect(() => {
-    if (selectedControlledCohort && selectedControlledCohort.cohort_id !== controlledCohortId) {
-      setControlledCohortId(selectedControlledCohort.cohort_id);
-    }
-  }, [controlledCohortId, selectedControlledCohort]);
-
-  useEffect(() => {
-    const readHash = () => {
-      const value = window.location.hash.replace(/^#(?:tab-)?/, '');
-      if (TAB_VALUES.includes(value as CollectiveXTab)) setTab(value as CollectiveXTab);
-    };
-    readHash();
-    window.addEventListener('hashchange', readHash);
-    window.addEventListener('popstate', readHash);
-    return () => {
-      window.removeEventListener('hashchange', readHash);
-      window.removeEventListener('popstate', readHash);
-    };
-  }, []);
-
-  // The diagnostic scope is the full-evidence view: every measured series across all
-  // SKUs — both decision-grade and diagnostic-tier — badged by status. This keeps the
-  // best (decision-grade) series visible alongside the rest instead of hiding them,
-  // and drives the SKU/backend/routing dropdowns off the complete dataset. Controlled
-  // scope narrows to the decision-grade cohorts (rankings, recommendations).
-  const diagnosticSeries = useMemo(() => dataset?.series ?? [], [dataset?.series]);
-  const filteredDiagnosticSeries = useMemo(
-    () => diagnosticSeries.filter((item) => seriesMatchesSelection(item, seriesSelection)),
-    [diagnosticSeries, seriesSelection],
+  // The neutral view is the full measured series set for the run, narrowed by the
+  // identity axes the shard carries: mode, EP degree, phase, and fabric scope.
+  const matchedSeries = useMemo(
+    () => (dataset?.series ?? []).filter((item) => seriesMatchesSelection(item, seriesSelection)),
+    [dataset?.series, seriesSelection],
   );
   const skuOptions = useMemo(
-    () => ['all', ...new Set(filteredDiagnosticSeries.map((item) => item.system.sku))],
-    [filteredDiagnosticSeries],
+    () => ['all', ...new Set(matchedSeries.map((item) => item.system.sku))],
+    [matchedSeries],
   );
   const backendOptions = useMemo(
-    () => ['all', ...new Set(filteredDiagnosticSeries.map((item) => item.backend.label))],
-    [filteredDiagnosticSeries],
+    () => ['all', ...new Set(matchedSeries.map((item) => item.backend.label))],
+    [matchedSeries],
   );
   const routingOptions = useMemo(
     () => [
       'all',
       ...new Set(
-        filteredDiagnosticSeries.map(
-          (item) => `${item.workload.routing}${item.workload.eplb ? '+eplb' : ''}`,
-        ),
+        matchedSeries.map((item) => `${item.workload.routing}${item.workload.eplb ? '+eplb' : ''}`),
       ),
     ],
-    [filteredDiagnosticSeries],
+    [matchedSeries],
   );
   useEffect(() => {
-    if (
-      diagnosticCohortId !== 'all' &&
-      !diagnosticCohorts.some((cohort) => cohort.cohort_id === diagnosticCohortId)
-    ) {
-      setDiagnosticCohortId('all');
-    }
     if (!skuOptions.includes(sku)) setSku('all');
     if (!backendOptions.includes(backend)) setBackend('all');
     if (!routingOptions.includes(routing)) setRouting('all');
-  }, [
-    backend,
-    backendOptions,
-    diagnosticCohortId,
-    diagnosticCohorts,
-    routing,
-    routingOptions,
-    sku,
-    skuOptions,
-  ]);
-  const scopedSeries = useMemo(() => {
-    if (!dataset) return [];
-    if (evidenceScope === 'controlled') {
-      return cohortSeries(selectedControlledCohort, dataset.series);
-    }
-    if (selectedDiagnosticCohort) {
-      return cohortSeries(selectedDiagnosticCohort, dataset.series);
-    }
-    return filteredDiagnosticSeries.filter(
-      (item) =>
-        (sku === 'all' || item.system.sku === sku) &&
-        (backend === 'all' || item.backend.label === backend) &&
-        (routing === 'all' ||
-          `${item.workload.routing}${item.workload.eplb ? '+eplb' : ''}` === routing),
-    );
-  }, [
-    backend,
-    dataset,
-    evidenceScope,
-    filteredDiagnosticSeries,
-    routing,
-    selectedControlledCohort,
-    selectedDiagnosticCohort,
-    sku,
-  ]);
+  }, [backend, backendOptions, routing, routingOptions, sku, skuOptions]);
   const phaseSeries = useMemo(
-    () => scopedSeries.filter((item) => item.phase === phase),
-    [phase, scopedSeries],
+    () =>
+      matchedSeries.filter(
+        (item) =>
+          (sku === 'all' || item.system.sku === sku) &&
+          (backend === 'all' || item.backend.label === backend) &&
+          (routing === 'all' ||
+            `${item.workload.routing}${item.workload.eplb ? '+eplb' : ''}` === routing),
+      ),
+    [backend, matchedSeries, routing, sku],
   );
 
   useEffect(() => {
     setActiveSeriesIds(new Set(phaseSeries.map((item) => item.series_id)));
   }, [phaseSeries]);
 
+  useEffect(() => {
+    const readHash = () => {
+      const value = window.location.hash.replace(/^#(?:tab-)?/, '');
+      if (TAB_VALUES.includes(value as CollectiveXTab)) setTab(value as CollectiveXTab);
+    };
+    readHash();
+    window.addEventListener('hashchange', readHash);
+    window.addEventListener('popstate', readHash);
+    return () => {
+      window.removeEventListener('hashchange', readHash);
+      window.removeEventListener('popstate', readHash);
+    };
+  }, []);
+
   const activeSeries = useMemo(
     () => phaseSeries.filter((item) => activeSeriesIds.has(item.series_id)),
     [activeSeriesIds, phaseSeries],
@@ -814,7 +560,7 @@ export default function CollectiveXDisplay() {
         label: collectiveXSeriesLabel(item),
         color: colors[collectiveXColorKey(item)] ?? 'var(--muted-foreground)',
         isActive: activeSeriesIds.has(item.series_id),
-        title: `${item.status} · ${item.mode} · EP${item.system.ep_size} · ${item.system.scope} · ${collectiveXTopologyLabel(item.system)} · ${item.workload.workload_id}`,
+        title: `${item.mode} · EP${item.system.ep_size} · ${item.system.scope} · ${collectiveXTopologyLabel(item.system)} · ${item.workload.workload_id}`,
         onClick: () => {
           setActiveSeriesIds((previous) => {
             const next = new Set(previous);
@@ -827,21 +573,7 @@ export default function CollectiveXDisplay() {
       })),
     [activeSeriesIds, colors, phaseSeries],
   );
-  const warnings = useMemo(
-    () => (evidenceScope === 'diagnostic' ? comparisonDifferences(activeSeries) : []),
-    [activeSeries, evidenceScope],
-  );
-  // In free-form "all diagnostics" mode (no cohort pinned) the per-cohort reason
-  // line does not apply, so surface why the revealed series were flagged: the
-  // distinct eligibility reasons across the active diagnostic series. Series that
-  // are decision-grade cohort members carry no reasons and drop out.
-  const diagnosticSeriesReasons = useMemo(
-    () =>
-      evidenceScope !== 'diagnostic' || selectedDiagnosticCohort
-        ? []
-        : [...new Set(activeSeries.flatMap((item) => item.eligibility.reasons))].toSorted(),
-    [activeSeries, evidenceScope, selectedDiagnosticCohort],
-  );
+  const warnings = useMemo(() => comparisonDifferences(activeSeries), [activeSeries]);
   const missingComponents = activeSeries.some((item) =>
     item.points.some((point) =>
       operation === 'isolated-sum'
@@ -858,10 +590,10 @@ export default function CollectiveXDisplay() {
       .map((item) => t.topologyScope[item])
       .join(' / ');
     const payload = [...new Set(phaseSeries.map((item) => item.measurement.payload_unit))]
-      .map((item) => t.payloadUnit[item])
+      .map((item) => t.payloadUnit[item as keyof typeof t.payloadUnit] ?? item)
       .join(' / ');
     const combine = [...new Set(phaseSeries.map((item) => item.measurement.combine_semantics))]
-      .map((item) => t.combineSemantics[item])
+      .map((item) => t.combineSemantics[item as keyof typeof t.combineSemantics] ?? item)
       .join(' / ');
     const sampling = [
       ...new Set(
@@ -902,12 +634,12 @@ export default function CollectiveXDisplay() {
     const availabilityReason = collectiveXAvailabilityReason(error);
     const message =
       availabilityReason === 'source-unavailable'
-        ? t.artifactSourceUnavailable
-        : availabilityReason === 'channel-unavailable'
-          ? t.promotedUnavailable
+        ? t.sourceUnavailable
+        : availabilityReason === 'runs-unavailable'
+          ? t.runsErrorMessage
           : error instanceof Error
             ? error.message
-            : t.failedValidation;
+            : t.loadError;
     return (
       <Card
         data-testid="collectivex-error"
@@ -933,11 +665,11 @@ export default function CollectiveXDisplay() {
               onChange={setVersion}
             />
           </div>
-          {selectedDigest !== null && (
+          {selectedRunId !== null && (
             <Button
               variant="outline"
               data-testid="collectivex-error-latest"
-              onClick={() => setSelectedDigest(null)}
+              onClick={() => setSelectedRunId(null)}
             >
               {t.latestPublished}
             </Button>
@@ -951,6 +683,10 @@ export default function CollectiveXDisplay() {
     );
   }
 
+  const run = dataset.run;
+  const conclusionClass =
+    (run.conclusion && CONCLUSION_CLASSES[run.conclusion]) ?? CONCLUSION_FALLBACK_CLASS;
+
   return (
     <section data-testid="collectivex-display" className="flex flex-col gap-4">
       <Card>
@@ -959,20 +695,13 @@ export default function CollectiveXDisplay() {
             <div className="flex flex-wrap items-center gap-2">
               <h1 className="text-xl font-semibold">CollectiveX</h1>
               <span
-                className={`rounded-md border px-2 py-0.5 text-[11px] font-medium ${PROMOTION_CLASSES[dataset.promotion.status]}`}
+                data-testid="collectivex-run-conclusion"
+                className={`rounded-md border px-2 py-0.5 text-[11px] font-medium ${conclusionClass}`}
               >
-                {t.promotion[dataset.promotion.status]}
+                #{run.run_id} · {run.conclusion ?? 'pending'}
               </span>
             </div>
             <p className="mt-2 text-sm text-muted-foreground">{t.description}</p>
-            {dataset.promotion.reason && (
-              <p
-                data-testid="collectivex-promotion-reason"
-                className="mt-2 text-sm text-destructive"
-              >
-                {t.publicationReason}: {collectiveXReasonLabel(dataset.promotion.reason, locale)}
-              </p>
-            )}
           </div>
           <div className="flex shrink-0 flex-wrap items-center gap-2">
             {sourceSha ? (
@@ -1002,7 +731,7 @@ export default function CollectiveXDisplay() {
               <span
                 data-testid="collectivex-source-link"
                 aria-disabled="true"
-                title={t.sourceUnavailable}
+                title={t.sourceLinkUnavailable}
                 className="inline-flex h-9 cursor-not-allowed items-center gap-1.5 rounded-md border px-3 text-sm font-medium text-muted-foreground opacity-50"
               >
                 {t.source} <ExternalLink className="size-3.5" />
@@ -1019,17 +748,11 @@ export default function CollectiveXDisplay() {
           </div>
         </div>
         <div className="mt-5 grid grid-cols-2 gap-3 sm:grid-cols-3 xl:grid-cols-6">
-          <Stat
-            value={dataset.series.filter((item) => item.status === 'decision-grade').length}
-            label={t.decisionSeries}
-          />
-          <Stat value={eligibleCohorts.length} label={t.controlledCohorts} />
-          <Stat
-            value={`${dataset.promotion.terminal_cases}/${dataset.promotion.requested_cases}`}
-            label={t.terminalCases}
-          />
+          <Stat value={dataset.series.length} label={t.seriesCount} />
+          <Stat value={`${run.measured_cases}/${run.requested_cases}`} label={t.measuredCases} />
+          <Stat value={`${run.terminal_cases}/${run.requested_cases}`} label={t.terminalCases} />
           <Stat value={dataset.attempts.length} label={t.retainedAttempts} />
-          <Stat value={dataset.promotion.allocation_ids.length} label={t.allocations} />
+          <Stat value={run.allocation_count} label={t.allocations} />
           <Stat value={formatDate(dataset.generated_at, locale)} label={t.publishedUtc} compact />
         </div>
       </Card>
@@ -1072,9 +795,9 @@ export default function CollectiveXDisplay() {
                 </Button>
               ) : (
                 <Select
-                  value={selectedDigest ?? 'latest'}
+                  value={selectedRunId ?? 'latest'}
                   onValueChange={(next) => {
-                    setSelectedDigest(next === 'latest' ? null : next);
+                    setSelectedRunId(next === 'latest' ? null : next);
                     track('collectivex_run_selected', { version, run: next });
                   }}
                 >
@@ -1104,18 +827,6 @@ export default function CollectiveXDisplay() {
               </Button>
             )}
           </ControlGroup>
-          <ControlGroup label={t.evidence}>
-            <SegmentedToggle
-              value={evidenceScope}
-              options={evidenceScopeOptions}
-              onValueChange={(value) => {
-                setEvidenceScope(value);
-                track('collectivex_evidence_scope_changed', { scope: value });
-              }}
-              ariaLabel={t.evidenceAria}
-              testId="collectivex-scope-toggle"
-            />
-          </ControlGroup>
           <ControlGroup label={t.modeControl}>
             <SegmentedToggle
               value={mode}
@@ -1158,34 +869,6 @@ export default function CollectiveXDisplay() {
               buttonClassName="min-w-0 flex-1 justify-center px-1.5 whitespace-nowrap"
             />
           </ControlGroup>
-          <div className="min-w-0 sm:col-span-2">
-            <SearchableSelectControl
-              label={evidenceScope === 'controlled' ? t.controlledCohort : t.diagnosticCohort}
-              testId="collectivex-cohort-select"
-              value={
-                evidenceScope === 'controlled'
-                  ? (selectedControlledCohort?.cohort_id ?? '')
-                  : diagnosticCohortId
-              }
-              onChange={(value) => {
-                if (evidenceScope === 'controlled') setControlledCohortId(value);
-                else {
-                  setDiagnosticCohortId(value);
-                  if (value !== 'all') {
-                    setSku('all');
-                    setBackend('all');
-                    setRouting('all');
-                  }
-                }
-              }}
-              groups={cohortGroups}
-              placeholder={evidenceScope === 'controlled' ? t.noEligibleCohort : t.allDiagnostics}
-              searchPlaceholder={t.searchCohorts}
-              searchAriaLabel={t.searchCohortsAria}
-              clearSearchLabel={t.clearCohortSearch}
-              noResultsLabel={t.noMatchingCohorts}
-            />
-          </div>
           <SelectControl
             label={t.operationControl}
             testId="collectivex-operation-select"
@@ -1219,31 +902,27 @@ export default function CollectiveXDisplay() {
               testId="collectivex-percentile-toggle"
             />
           </ControlGroup>
-          {evidenceScope === 'diagnostic' && diagnosticCohortId === 'all' && (
-            <>
-              <SelectControl
-                label={t.sku}
-                testId="collectivex-sku-select"
-                value={sku}
-                options={selectOptions(skuOptions, t.all, true)}
-                onChange={setSku}
-              />
-              <SelectControl
-                label={t.backend}
-                testId="collectivex-backend-select"
-                value={backend}
-                options={selectOptions(backendOptions, t.all)}
-                onChange={setBackend}
-              />
-              <SelectControl
-                label={t.routing}
-                testId="collectivex-routing-select"
-                value={routing}
-                options={selectOptions(routingOptions, t.all)}
-                onChange={setRouting}
-              />
-            </>
-          )}
+          <SelectControl
+            label={t.sku}
+            testId="collectivex-sku-select"
+            value={sku}
+            options={selectOptions(skuOptions, t.all, true)}
+            onChange={setSku}
+          />
+          <SelectControl
+            label={t.backend}
+            testId="collectivex-backend-select"
+            value={backend}
+            options={selectOptions(backendOptions, t.all)}
+            onChange={setBackend}
+          />
+          <SelectControl
+            label={t.routing}
+            testId="collectivex-routing-select"
+            value={routing}
+            options={selectOptions(routingOptions, t.all)}
+            onChange={setRouting}
+          />
           <SelectControl
             label={t.xAxisControl}
             testId="collectivex-x-axis-select"
@@ -1312,9 +991,7 @@ export default function CollectiveXDisplay() {
         <TabsContent value="results" className="space-y-4">
           {phaseSeries.length === 0 && (
             <Card data-testid="collectivex-empty-state" className="py-4">
-              <p className="text-sm text-muted-foreground">
-                {evidenceScope === 'controlled' ? t.noControlledSeries : t.noDiagnosticSeries}
-              </p>
+              <p className="text-sm text-muted-foreground">{t.noSeries}</p>
             </Card>
           )}
           <Card data-testid="collectivex-main-chart" className="relative">
@@ -1341,13 +1018,6 @@ export default function CollectiveXDisplay() {
                         : `at ${percentile} latency`}
                   </h2>
                   <p className="text-sm text-muted-foreground">
-                    {evidenceScope === 'controlled'
-                      ? selectedControlledCohort &&
-                        collectiveXCohortLabel(selectedControlledCohort, seriesById, locale)
-                      : selectedDiagnosticCohort
-                        ? collectiveXCohortLabel(selectedDiagnosticCohort, seriesById, locale)
-                        : t.diagnosticEvidence}{' '}
-                    ·{' '}
                     {yAxis === 'activation-rate'
                       ? 'Activation-data rate at selected latency percentile'
                       : yAxis === 'total-logical-rate'
@@ -1401,51 +1071,6 @@ export default function CollectiveXDisplay() {
                 />
               }
             />
-            {evidenceScope === 'diagnostic' && (
-              <p
-                data-testid="collectivex-diagnostic-warning"
-                className="mt-3 border-l-2 border-amber-500 bg-amber-500/5 py-1 pl-2 text-xs text-muted-foreground"
-              >
-                {t.diagnosticWarning}
-              </p>
-            )}
-            {evidenceScope === 'diagnostic' && selectedDiagnosticCohort && (
-              <p
-                data-testid="collectivex-diagnostic-cohort-reasons"
-                className="mt-2 text-xs text-muted-foreground"
-              >
-                {t.excluded}:{' '}
-                {selectedDiagnosticCohort.eligibility.reasons
-                  .map((reason) => collectiveXReasonLabel(reason, locale))
-                  .join(', ')}
-                .
-              </p>
-            )}
-            {evidenceScope === 'diagnostic' &&
-              !selectedDiagnosticCohort &&
-              diagnosticSeriesReasons.length > 0 && (
-                <p
-                  data-testid="collectivex-diagnostic-series-reasons"
-                  className="mt-2 text-xs text-muted-foreground"
-                >
-                  {t.excluded}:{' '}
-                  {diagnosticSeriesReasons
-                    .map((reason) => collectiveXReasonLabel(reason, locale))
-                    .join(', ')}
-                  .
-                </p>
-              )}
-            {evidenceScope === 'controlled' && selectedControlledCohort && (
-              <p
-                data-testid="collectivex-controlled-stability"
-                className="mt-2 text-xs text-muted-foreground"
-              >
-                {selectedControlledCohort.eligibility.stable_ordering
-                  ? t.stableOrdering
-                  : t.unstableOrdering}
-                .
-              </p>
-            )}
             {warnings.length > 0 && (
               <p
                 data-testid="collectivex-comparison-warning"
@@ -1472,18 +1097,15 @@ export default function CollectiveXDisplay() {
             )}
           </Card>
         </TabsContent>
-        <TabsContent value="decisions" className="space-y-4">
-          <CollectiveXDecisionTables dataset={dataset} cohort={selectedControlledCohort} />
-        </TabsContent>
         <TabsContent value="evidence" className="space-y-4">
           <CollectiveXCoverageTable coverage={dataset.coverage} />
           <CollectiveXAttemptTable attempts={dataset.attempts} coverage={dataset.coverage} />
           <Card data-testid="collectivex-provenance">
             <h2 className="text-lg font-semibold">{t.provenance}</h2>
             <dl className="mt-3 grid gap-3 text-sm sm:grid-cols-2 lg:grid-cols-4">
-              <Provenance label={t.channelLabel} value={data.channel.channel} />
-              <Provenance label={t.datasetDigest} value={data.digest} mono />
-              <Provenance label={t.matrixDigest} value={dataset.promotion.matrix_id ?? '-'} mono />
+              <Provenance label={t.runLabel} value={`#${data.run_id}`} mono />
+              <Provenance label={t.attemptLabel} value={String(data.run_attempt)} mono />
+              <Provenance label={t.matrixLabel} value={run.matrix_id ?? '-'} mono />
               <Provenance
                 label={t.sourceBundles}
                 value={dataset.source_bundle_ids.join(' · ') || '-'}
@@ -1555,47 +1177,6 @@ function SelectControl<T extends string | number>({
   );
 }
 
-function SearchableSelectControl({
-  label,
-  testId,
-  value,
-  groups,
-  onChange,
-  placeholder,
-  searchPlaceholder,
-  searchAriaLabel,
-  clearSearchLabel,
-  noResultsLabel,
-}: {
-  label: string;
-  testId: string;
-  value: string;
-  groups: SearchableSelectGroup[];
-  onChange: (value: string) => void;
-  placeholder: string;
-  searchPlaceholder: string;
-  searchAriaLabel: string;
-  clearSearchLabel: string;
-  noResultsLabel: string;
-}) {
-  return (
-    <ControlGroup label={label}>
-      <SearchableSelect
-        groups={groups}
-        value={value}
-        onValueChange={onChange}
-        placeholder={placeholder}
-        triggerTestId={testId}
-        searchPlaceholder={searchPlaceholder}
-        searchAriaLabel={searchAriaLabel}
-        clearSearchLabel={clearSearchLabel}
-        noResultsLabel={noResultsLabel}
-        trackPrefix="collectivex_cohort"
-      />
-    </ControlGroup>
-  );
-}
-
 function Provenance({
   label,
   value,
diff --git a/packages/app/src/components/collectivex/CollectiveXInventory.tsx b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
index c52af91c1..6aa6a08cf 100644
--- a/packages/app/src/components/collectivex/CollectiveXInventory.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
@@ -18,6 +18,7 @@ import {
 
 import { collectiveXTopologyLabel } from './data';
 import type {
+  CollectiveXAttempt,
   CollectiveXCommunicationAxis,
   CollectiveXComponent,
   CollectiveXCoverage,
@@ -38,7 +39,6 @@ type FilterKey =
   | 'topology'
   | 'dispatchPrecision'
   | 'combinePrecision'
-  | 'tier'
   | 'terminal';
 
 type Filters = Record<FilterKey, string>;
@@ -53,7 +53,6 @@ const EMPTY_FILTERS: Filters = {
   topology: 'all',
   dispatchPrecision: 'all',
   combinePrecision: 'all',
-  tier: 'all',
   terminal: 'all',
 };
 
@@ -63,6 +62,7 @@ const TERMINAL_ORDER: CollectiveXTerminalStatus[] = [
   'failed',
   'invalid',
   'diagnostic',
+  'pending',
 ];
 
 const STATUS_CLASS: Record<CollectiveXTerminalStatus, string> = {
@@ -71,17 +71,16 @@ const STATUS_CLASS: Record<CollectiveXTerminalStatus, string> = {
   failed: 'border-red-600/40 bg-red-500/10 text-red-700 dark:text-red-300',
   invalid: 'border-red-600/40 bg-red-500/10 text-red-700 dark:text-red-300',
   diagnostic: 'border-amber-600/40 bg-amber-500/10 text-amber-700 dark:text-amber-300',
+  pending: 'border-zinc-500/40 bg-zinc-500/5 text-muted-foreground',
 };
 
-function axisKey(axis: CollectiveXCommunicationAxis): string {
-  return JSON.stringify(axis);
+function axisKey(axis: CollectiveXCommunicationAxis | null): string {
+  return axis ? JSON.stringify(axis) : 'none';
 }
 
-function axisLabel(axis: CollectiveXCommunicationAxis): string {
-  const scale = axis.scale_dtype
-    ? `${axis.scale_dtype}/${axis.scale_group_size ?? 'dynamic'}`
-    : 'no scale';
-  return `${axis.communication_format} · ${axis.quantization_origin} · ${axis.conversion_boundary} · ${scale}`;
+function axisLabel(axis: CollectiveXCommunicationAxis | null): string {
+  if (!axis) return 'n/a';
+  return `${axis.communication_format} · ${axis.quant_mode} · ${axis.semantics}`;
 }
 
 function backendKey(item: CollectiveXCoverage): string {
@@ -181,7 +180,7 @@ interface PointRow {
   catalog: CollectiveXCoveragePoint;
   series: CollectiveXSeries | null;
   point: CollectiveXPoint | null;
-  qualificationIndices: number[];
+  attempts: CollectiveXAttempt[];
 }
 
 function componentSummary(component: CollectiveXComponent | null): React.ReactNode {
@@ -196,13 +195,17 @@ function componentSummary(component: CollectiveXComponent | null): React.ReactNo
       </p>
       <p className="text-muted-foreground">
         {component.origin === 'measured'
-          ? `${component.sample_count}/512 samples`
+          ? `${component.sample_count ?? '-'} samples`
           : 'Derived, no samples'}
       </p>
-      <p className="text-muted-foreground">
-        bytes {bytes.activation_data_bytes.toLocaleString()} + {bytes.scale_bytes.toLocaleString()}{' '}
-        = {bytes.total_logical_bytes.toLocaleString()}
-      </p>
+      {bytes ? (
+        <p className="text-muted-foreground">
+          bytes {bytes.activation_data_bytes.toLocaleString()} +{' '}
+          {bytes.scale_bytes.toLocaleString()} = {bytes.total_logical_bytes.toLocaleString()}
+        </p>
+      ) : (
+        <p className="text-muted-foreground">no byte accounting</p>
+      )}
       <p className="text-muted-foreground">
         p99 A {activation?.toFixed(2) ?? '-'} · total {total?.toFixed(2) ?? '-'} GB/s
       </p>
@@ -217,47 +220,17 @@ function pointAnomalies(row: PointRow): string {
   return `expert CV ${routing.expert_load_cv.toFixed(3)} · rank CV ${routing.payload_rank_cv.toFixed(3)} · hotspot ${routing.hotspot_ratio.toFixed(2)}x · empty ${routing.empty_expert_count}/${routing.empty_rank_count}${anomalies ? ` · ${anomalies}` : ' · none declared'}`;
 }
 
-function trialDiagnosticsSummary(row: PointRow): React.ReactNode {
-  if (!row.point) return '-';
-  const diagnostics = row.point.trial_diagnostics;
-  const components = Object.entries(diagnostics.components).filter(
-    (entry): entry is [string, NonNullable<(typeof entry)[1]>] => entry[1] !== null,
-  );
-  return (
-    <div className="min-w-56 space-y-0.5 text-xs tabular-nums">
-      <p className={diagnostics.flagged ? 'text-amber-700 dark:text-amber-300' : ''}>
-        {diagnostics.flagged ? diagnostics.reasons.join(', ') : 'No trial flags'}
-      </p>
-      {components.map(([name, component]) => (
-        <p key={name} className="text-muted-foreground">
-          {name} {component.trial_count} trials · drift{' '}
-          {component.first_last_median_ratio.toFixed(3)}x · outliers{' '}
-          {(component.robust_outlier_fraction * 100).toFixed(1)}%
-        </p>
-      ))}
-    </div>
-  );
-}
-
 function correctnessSummary(row: PointRow): React.ReactNode {
   if (!row.point) return '-';
   const correctness = row.point.correctness;
-  const dispatch = correctness.precision.dispatch;
-  const combine = correctness.precision.combine;
   return (
     <div className="min-w-52 text-xs">
       <p>
-        Semantic {correctness.semantic_pass ? 'pass' : 'fail'} · precision{' '}
-        {correctness.precision.passed ? 'pass' : 'fail'}
+        Correctness {correctness.passed ? 'pass' : 'fail'} · max rel err{' '}
+        {correctness.max_relative_error.toExponential(1)}
       </p>
       <p className="text-muted-foreground">
-        Dispatch abs {dispatch.max_abs_error.toPrecision(3)} · rel{' '}
-        {dispatch.max_rel_error.toPrecision(3)} · saturation{' '}
-        {dispatch.saturation_rate.toPrecision(3)}
-      </p>
-      <p className="text-muted-foreground">
-        Combine abs {combine.max_abs_error.toPrecision(3)} · rel{' '}
-        {combine.max_rel_error.toPrecision(3)} · saturation {combine.saturation_rate.toPrecision(3)}
+        {correctness.contract} · {correctness.scope}
       </p>
     </div>
   );
@@ -293,20 +266,13 @@ function CaseDetail({ dataset, item }: { dataset: CollectiveXDataset; item: Coll
           catalog.point_id && series
             ? (series.points.find((candidate) => candidate.point_id === catalog.point_id) ?? null)
             : null;
-        const qualificationIndices = [
-          ...new Set(
-            dataset.attempts
-              .filter(
-                (attempt) =>
-                  attempt.case_id === item.case_id &&
-                  attempt.selected &&
-                  (!catalog.point_id ||
-                    attempt.evidence.some((evidence) => evidence.point_id === catalog.point_id)),
-              )
-              .map((attempt) => attempt.qualification_index),
-          ),
-        ].toSorted((left, right) => left - right);
-        return { catalog, series, point, qualificationIndices };
+        const attempts = dataset.attempts.filter(
+          (attempt) =>
+            attempt.case_id === item.case_id &&
+            (!catalog.point_id ||
+              attempt.evidence.some((evidence) => evidence.point_id === catalog.point_id)),
+        );
+        return { catalog, series, point, attempts };
       }),
     [dataset.attempts, item, seriesById],
   );
@@ -343,35 +309,29 @@ function CaseDetail({ dataset, item }: { dataset: CollectiveXDataset; item: Coll
         cell: correctnessSummary,
         sortValue: (row) =>
           row.point
-            ? `${row.point.correctness.semantic_pass} ${row.point.correctness.precision.passed}`
+            ? `${row.point.correctness.passed} ${row.point.correctness.max_relative_error}`
             : '',
       },
       {
         header: 'Evidence',
         cell: (row) => (
           <div className="min-w-32 text-xs">
-            <p>{row.qualificationIndices.length}/1 qualification run</p>
+            <p>
+              {row.attempts.length} attempt{row.attempts.length === 1 ? '' : 's'}
+            </p>
             <p className="text-muted-foreground">
-              {row.qualificationIndices.map((index) => `Q${index}`).join(' · ') || '-'} ·{' '}
+              {row.attempts.some((attempt) => attempt.selected) ? 'selected' : '—'} ·{' '}
               {row.point?.evidence_ids.length ?? 0} evidence IDs
             </p>
           </div>
         ),
-        sortValue: (row) => row.qualificationIndices.length,
+        sortValue: (row) => row.attempts.length,
       },
       {
         header: 'Anomalies',
         cell: (row) => <span className="block min-w-64 text-xs">{pointAnomalies(row)}</span>,
         sortValue: pointAnomalies,
       },
-      {
-        header: 'Trial diagnostics',
-        cell: trialDiagnosticsSummary,
-        sortValue: (row) =>
-          row.point
-            ? `${row.point.trial_diagnostics.flagged} ${row.point.trial_diagnostics.reasons.join(' ')}`
-            : '',
-      },
       {
         header: 'Dispatch',
         cell: (row) => componentSummary(row.point?.components.dispatch ?? null),
@@ -420,10 +380,9 @@ function CaseDetail({ dataset, item }: { dataset: CollectiveXDataset; item: Coll
         />
         <DetailValue label="Dispatch precision" value={axisLabel(item.dispatch_precision)} />
         <DetailValue label="Combine precision" value={axisLabel(item.combine_precision)} />
-        <DetailValue label="Precision profile" value={item.precision_profile} mono />
+        <DetailValue label="Precision profile" value={item.precision_profile ?? 'n/a'} mono />
         <DetailValue label="Routing" value={routingKey(item)} />
         <DetailValue label="Backend" value={backendLabel(item)} />
-        <DetailValue label="Publication tier" value={item.publication_tier} />
       </dl>
       <h3 className="mt-5 font-semibold">Point terminal evidence</h3>
       <DataTable
@@ -473,7 +432,6 @@ export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset
         (item) => axisKey(item.combine_precision),
         (item) => axisLabel(item.combine_precision),
       ),
-      tier: uniqueOptions(dataset.coverage, (item) => item.publication_tier),
       terminal: TERMINAL_ORDER.map((status) => ({ value: status, label: status })),
     }),
     [dataset.coverage],
@@ -493,7 +451,6 @@ export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset
             axisKey(item.dispatch_precision) === filters.dispatchPrecision) &&
           (filters.combinePrecision === 'all' ||
             axisKey(item.combine_precision) === filters.combinePrecision) &&
-          (filters.tier === 'all' || item.publication_tier === filters.tier) &&
           (filters.terminal === 'all' ||
             item.points.some((point) => point.terminal_status === filters.terminal)),
       ),
@@ -569,12 +526,6 @@ export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset
         sortValue: (row) => axisLabel(row.combine_precision),
         className: 'min-w-52',
       },
-      {
-        header: 'Tier',
-        cell: (row) => row.publication_tier,
-        sortValue: (row) => row.publication_tier,
-        className: 'whitespace-nowrap',
-      },
       {
         header: 'Disposition',
         cell: (row) => `${row.disposition} · ${row.outcome}`,
@@ -602,12 +553,11 @@ export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset
           <div>
             <h2 className="text-lg font-semibold">Matrix case inventory</h2>
             <p className="mt-1 text-sm text-muted-foreground">
-              {filtered.length} of {dataset.coverage.length} cases ·{' '}
-              {dataset.promotion.measured_cases} measured cases ·{' '}
-              {dataset.promotion.unsupported_cases} unsupported cases ·{' '}
-              {dataset.promotion.terminal_points}/{dataset.promotion.requested_points} terminal
-              points · {pointCounts.filter((point) => point.terminal_status === 'measured').length}{' '}
-              measured points ·{' '}
+              {filtered.length} of {dataset.coverage.length} cases · {dataset.run.measured_cases}{' '}
+              measured cases · {dataset.run.unsupported_cases} unsupported cases ·{' '}
+              {dataset.run.terminal_points}/{dataset.run.requested_points} terminal points ·{' '}
+              {pointCounts.filter((point) => point.terminal_status === 'measured').length} measured
+              points ·{' '}
               {pointCounts.filter((point) => point.terminal_status === 'unsupported').length}{' '}
               unsupported points
             </p>
@@ -686,13 +636,6 @@ export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset
             options={options.combinePrecision}
             onChange={(value) => setFilter('combinePrecision', value)}
           />
-          <FilterSelect
-            label="Publication tier"
-            testId="collectivex-inventory-tier"
-            value={filters.tier}
-            options={options.tier}
-            onChange={(value) => setFilter('tier', value)}
-          />
           <FilterSelect
             label="Terminal disposition"
             testId="collectivex-inventory-terminal"
diff --git a/packages/app/src/components/collectivex/CollectiveXTables.tsx b/packages/app/src/components/collectivex/CollectiveXTables.tsx
index ec9b34ff7..56e87a913 100644
--- a/packages/app/src/components/collectivex/CollectiveXTables.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXTables.tsx
@@ -7,25 +7,9 @@ import { Card } from '@/components/ui/card';
 import { type DataTableColumn, DataTable } from '@/components/ui/data-table';
 import { useLocale } from '@/lib/use-locale';
 
-import {
-  collectiveXSeriesLabel,
-  collectiveXTopologyLabel,
-  compareCollectiveXDecisionMetrics,
-} from './data';
+import { collectiveXTopologyLabel } from './data';
 
-import type {
-  CollectiveXAttempt,
-  CollectiveXCohort,
-  CollectiveXCoverage,
-  CollectiveXDataset,
-  CollectiveXMetric,
-  CollectiveXOutcome,
-  CollectiveXPublicationTier,
-  CollectiveXRanking,
-  CollectiveXRecommendation,
-  CollectiveXSensitivity,
-  CollectiveXSeries,
-} from './types';
+import type { CollectiveXAttempt, CollectiveXCoverage, CollectiveXOutcome } from './types';
 
 const OUTCOME_CLASSES = {
   success: 'border-emerald-600/40 bg-emerald-500/15 text-emerald-700 dark:text-emerald-300',
@@ -33,14 +17,9 @@ const OUTCOME_CLASSES = {
   failed: 'border-red-700/50 bg-red-700/15 text-red-800 dark:text-red-300',
   invalid: 'border-red-600/40 bg-red-500/15 text-red-700 dark:text-red-300',
   diagnostic: 'border-amber-600/40 bg-amber-500/15 text-amber-700 dark:text-amber-300',
+  pending: 'border-zinc-500/40 bg-zinc-500/5 text-muted-foreground',
 } satisfies Record<CollectiveXOutcome, string>;
 
-const PUBLICATION_TIER_CLASSES = {
-  official: 'border-emerald-600/40 bg-emerald-500/10 text-emerald-700 dark:text-emerald-300',
-  'comparable-experimental':
-    'border-amber-600/40 bg-amber-500/10 text-amber-700 dark:text-amber-300',
-} satisfies Record<CollectiveXPublicationTier, string>;
-
 const STRINGS = {
   en: {
     outcome: {
@@ -49,8 +28,8 @@ const STRINGS = {
       failed: 'failed',
       invalid: 'invalid',
       diagnostic: 'diagnostic',
+      pending: 'pending',
     },
-    tier: { official: 'Official', experimental: 'Experimental' },
     phase: { decode: 'decode', prefill: 'prefill' },
     mode: { normal: 'Normal', 'low-latency': 'Low latency' },
     scope: { 'scale-up': 'Scale-up', 'scale-out': 'Scale-out' },
@@ -81,55 +60,6 @@ const STRINGS = {
     retainedRole: 'retained',
     evidence: 'Evidence',
     retainedAttempts: 'Retained attempts',
-    comparison: 'Comparison',
-    metric: 'Metric',
-    rank: 'Rank',
-    tierHeader: 'Tier',
-    configuration: 'Configuration',
-    point: 'Point',
-    value: 'Value',
-    noControlledCohort: 'No controlled cohort is selected.',
-    rankings: 'Rankings',
-    allocations: 'allocations',
-    comparisonContract: 'Comparison contract',
-    controlledFactors: 'Held constant',
-    varyingFactors: 'Compared',
-    sampling: 'Sampling',
-    warmups: 'Warmups',
-    stableOrdering: 'Stable ordering',
-    passed: 'passed',
-    notPassed: 'not passed',
-    samplingValue: (trials: number, iterations: number, samples: number) =>
-      `${trials} trials × ${iterations} iterations = ${samples} samples per component`,
-    warmupValue: (warmups: number) =>
-      `${warmups} synchronized round-trip warmups before each measured component, trial, and point`,
-    objective: 'Objective',
-    recommendedConfiguration: 'Recommended configuration',
-    basis: 'Basis',
-    bestConfigurations: 'Best conforming configurations',
-    contrast: 'Contrast',
-    baseline: 'Baseline',
-    candidate: 'Candidate',
-    change: 'Change',
-    routingSensitivity: 'Routing sensitivity',
-    decision: {
-      cohortKind: {
-        library: 'Library contrast',
-        chip: 'Platform contrast',
-        system: 'System contrast',
-        routing: 'Routing contrast',
-      },
-      reference: 'Reference',
-      seriesUnit: 'series',
-      recommendationObjective: {
-        'min-p50-latency': 'lowest p50 latency',
-        'min-p99-latency': 'lowest p99 latency',
-        'max-payload-rate-at-p50-latency': 'highest payload rate at p50 latency',
-        'max-payload-rate-at-p99-latency': 'highest payload rate at p99 latency',
-      },
-      rationale: 'Top stable measured roundtrip result in a controlled cohort',
-      sensitivity: 'Routing sensitivity',
-    },
   },
   zh: {
     outcome: {
@@ -138,8 +68,8 @@ const STRINGS = {
       failed: '失败',
       invalid: '无效',
       diagnostic: '诊断',
+      pending: '待运行',
     },
-    tier: { official: '正式', experimental: '实验性' },
     phase: { decode: '解码', prefill: '预填充' },
     mode: { normal: '常规', 'low-latency': '低延迟' },
     scope: { 'scale-up': '域内（scale-up）', 'scale-out': '跨域（scale-out）' },
@@ -170,95 +100,11 @@ const STRINGS = {
     retainedRole: '保留',
     evidence: '证据数',
     retainedAttempts: '保留的全部尝试',
-    comparison: '对比项',
-    metric: '指标',
-    rank: '排名',
-    tierHeader: '发布级别',
-    configuration: '配置',
-    point: '点位',
-    value: '数值',
-    noControlledCohort: '尚未选择受控队列。',
-    rankings: '排名',
-    allocations: '次独立分配',
-    comparisonContract: '对比协议',
-    controlledFactors: '保持一致',
-    varyingFactors: '对比变量',
-    sampling: '采样',
-    warmups: '预热',
-    stableOrdering: '排名顺序稳定',
-    passed: '已通过',
-    notPassed: '未通过',
-    samplingValue: (trials: number, iterations: number, samples: number) =>
-      `${trials} 次试验 × ${iterations} 次迭代 = 每个分项 ${samples} 个样本`,
-    warmupValue: (warmups: number) =>
-      `每个测量分项、试验和点位前执行 ${warmups} 次同步完整往返预热`,
-    objective: '目标',
-    recommendedConfiguration: '推荐配置',
-    basis: '依据',
-    bestConfigurations: '符合条件的最佳配置',
-    contrast: '对比',
-    baseline: '基线',
-    candidate: '候选项',
-    change: '变化',
-    routingSensitivity: '路由敏感性',
-    decision: {
-      cohortKind: {
-        library: '通信库对比',
-        chip: '平台对比',
-        system: '参考系统对比',
-        routing: '路由对比',
-      },
-      reference: '参考实现',
-      seriesUnit: '个序列',
-      recommendationObjective: {
-        'min-p50-latency': 'p50 延迟最低',
-        'min-p99-latency': 'p99 延迟最低',
-        'max-payload-rate-at-p50-latency': 'p50 延迟分位点的逻辑载荷速率最高',
-        'max-payload-rate-at-p99-latency': 'p99 延迟分位点的逻辑载荷速率最高',
-      },
-      rationale: '受控队列中排名第一的稳定实测往返结果',
-      sensitivity: '路由敏感性',
-    },
   },
 } as const;
 
 type TableStrings = (typeof STRINGS)[keyof typeof STRINGS];
 
-const FACTOR_LABELS = {
-  en: {
-    backend: 'Backend implementation',
-    source: 'Source revision',
-    workload: 'Workload',
-    mode: 'Mode',
-    phase: 'Phase',
-    measurement: 'Measurement contract',
-    system: 'Realized system and topology',
-    resource: 'Resource profile',
-    'resource.mode': 'Resource tuning policy',
-    'implementation-static-build': 'Static implementation build',
-    'model-shape': 'Model shape',
-    'workload.routing': 'Routing distribution',
-    'workload.eplb': 'EPLB treatment',
-    'implementation-config': 'Generated implementation config',
-  },
-  zh: {
-    backend: '后端实现',
-    source: '源代码版本',
-    workload: '工作负载',
-    mode: '模式',
-    phase: '阶段',
-    measurement: '测量协议',
-    system: '实际系统与拓扑',
-    resource: '资源配置',
-    'resource.mode': '资源调优策略',
-    'implementation-static-build': '静态实现构建',
-    'model-shape': '模型形状',
-    'workload.routing': '路由分布',
-    'workload.eplb': 'EPLB 处理',
-    'implementation-config': '生成的实现配置',
-  },
-} as const;
-
 const REASON_LABELS = {
   zh: {
     'artifact-validation-failed': '产物校验失败',
@@ -316,31 +162,11 @@ const REASON_LABELS = {
   },
 } as const;
 
-function factorLabel(value: string, locale: 'en' | 'zh'): string {
-  return FACTOR_LABELS[locale][value as keyof (typeof FACTOR_LABELS)[typeof locale]] ?? value;
-}
-
 export function collectiveXReasonLabel(value: string, locale: 'en' | 'zh'): string {
   if (locale === 'en') return value;
   return REASON_LABELS.zh[value as keyof typeof REASON_LABELS.zh] ?? value;
 }
 
-function cohortDescription(cohort: CollectiveXCohort, locale: 'en' | 'zh'): string {
-  if (locale === 'en') return cohort.description;
-  if (
-    cohort.kind === 'dispatch-precision' ||
-    cohort.kind === 'combine-precision' ||
-    cohort.kind === 'precision-pair'
-  )
-    return cohort.description;
-  return {
-    library: '在相同实际系统、工作负载与测量协议下对比通信库及其调优资源配置。',
-    chip: '在相同后端谱系、工作负载与测量协议下对比完整平台系统。',
-    system: '使用可移植 NCCL/RCCL 参考实现，在相同工作负载与测量协议下对比系统。',
-    routing: '在相同实现、系统与资源配置下，对比路由分布及 EPLB 处理。',
-  }[cohort.kind];
-}
-
 function attemptRoleLabel(
   attempt: CollectiveXAttempt,
   terminalAttemptIds: Set<string>,
@@ -362,218 +188,12 @@ function OutcomeBadge({ outcome }: { outcome: CollectiveXOutcome }) {
   );
 }
 
-function PublicationTierBadge({ tier }: { tier: CollectiveXPublicationTier }) {
-  const t = STRINGS[useLocale()];
-  return (
-    <Badge
-      data-testid="collectivex-publication-tier"
-      variant="outline"
-      className={PUBLICATION_TIER_CLASSES[tier]}
-    >
-      {tier === 'official' ? t.tier.official : t.tier.experimental}
-    </Badge>
-  );
-}
-
 function shortId(value: string | null): string {
   if (value === null) return '-';
   const suffix = value.lastIndexOf('-');
   return suffix === -1 ? value : value.slice(suffix + 1).slice(-8);
 }
 
-function distinctSeriesValue(
-  series: CollectiveXSeries[],
-  getValue: (item: CollectiveXSeries) => string,
-): string {
-  return [...new Set(series.map(getValue))].join(' ↔ ') || '-';
-}
-
-function seriesContextColumns<T>(
-  getSeries: (row: T) => CollectiveXSeries[],
-  t: TableStrings,
-): DataTableColumn<T>[] {
-  const value = (row: T, getValue: (item: CollectiveXSeries) => string) =>
-    distinctSeriesValue(getSeries(row), getValue);
-  return [
-    {
-      header: t.modeHeader,
-      cell: (row) => value(row, (item) => t.mode[item.mode]),
-      sortValue: (row) => value(row, (item) => t.mode[item.mode]),
-      className: 'whitespace-nowrap',
-    },
-    {
-      header: t.epHeader,
-      cell: (row) => value(row, (item) => `EP${item.system.ep_size}`),
-      sortValue: (row) => value(row, (item) => `EP${item.system.ep_size}`),
-      className: 'whitespace-nowrap',
-    },
-    {
-      header: t.scopeHeader,
-      cell: (row) => value(row, (item) => t.scope[item.system.scope]),
-      sortValue: (row) => value(row, (item) => t.scope[item.system.scope]),
-      className: 'whitespace-nowrap',
-    },
-    {
-      header: t.topologyHeader,
-      cell: (row) => value(row, (item) => collectiveXTopologyLabel(item.system)),
-      sortValue: (row) => value(row, (item) => collectiveXTopologyLabel(item.system)),
-      className: 'whitespace-nowrap',
-    },
-  ];
-}
-
-function decisionMetricName(metric: CollectiveXMetric, locale: 'en' | 'zh'): string {
-  if (locale === 'zh' && metric.measure !== 'latency_us') {
-    const rate =
-      metric.measure === 'activation_data_rate_gbps_at_latency_percentile'
-        ? 'activation-data rate'
-        : 'total logical data rate';
-    return `${rate} at ${metric.statistic} latency`;
-  }
-  if (locale === 'zh') {
-    return metric.measure === 'latency_us'
-      ? `${metric.statistic} 延迟`
-      : `${metric.statistic} 延迟分位点对应的逻辑载荷速率`;
-  }
-  if (metric.measure === 'latency_us') return `${metric.statistic} latency`;
-  const rate =
-    metric.measure === 'activation_data_rate_gbps_at_latency_percentile'
-      ? 'activation-data rate'
-      : 'total logical data rate';
-  return `${rate} at ${metric.statistic} latency`;
-}
-
-function metricLabel(ranking: CollectiveXRanking, locale: 'en' | 'zh'): string {
-  const { metric } = ranking;
-  if (locale === 'zh') {
-    return `${STRINGS.zh.phase[metric.phase]} T=${metric.tokens_per_rank} 往返 ${decisionMetricName(metric, locale)}`;
-  }
-  const measure =
-    metric.measure === 'latency_us'
-      ? `${metric.statistic} latency`
-      : decisionMetricName(metric, 'en');
-  return `${metric.phase} T=${metric.tokens_per_rank} ${metric.operation} ${measure}`;
-}
-
-export function collectiveXCohortLabel(
-  cohort: CollectiveXCohort,
-  seriesById: Map<string, CollectiveXSeries>,
-  locale: 'en' | 'zh',
-): string {
-  if (locale === 'en') return cohort.label;
-  if (
-    cohort.kind === 'dispatch-precision' ||
-    cohort.kind === 'combine-precision' ||
-    cohort.kind === 'precision-pair'
-  )
-    return cohort.label;
-  const first = seriesById.get(cohort.series_ids[0]);
-  if (!first) return cohort.label;
-  const members = cohort.series_ids.flatMap((seriesId) => {
-    const series = seriesById.get(seriesId);
-    return series ? [series] : [];
-  });
-  const phase = STRINGS.zh.phase[first.phase];
-  const mode = STRINGS.zh.mode[first.mode];
-  const scope = [...new Set(members.map((item) => item.system.scope))]
-    .map((item) => STRINGS.zh.scope[item])
-    .join(' ↔ ');
-  const routing = `${first.workload.routing}${first.workload.eplb ? '+EPLB' : ''}`;
-  const ep = `EP${first.system.ep_size}`;
-  const context = {
-    library: `${first.system.sku.toUpperCase()} ${ep} / ${mode} / ${scope} / ${phase} / ${routing}`,
-    chip: `${first.backend.label} ${ep} / ${mode} / ${scope} / ${phase} / ${routing}`,
-    system: `${STRINGS.zh.decision.reference} ${ep} / ${mode} / ${scope} / ${phase} / ${routing}`,
-    routing: `${first.system.sku.toUpperCase()} / ${first.backend.label} / ${ep} / ${mode} / ${scope} / ${phase}`,
-  }[cohort.kind];
-  return `${context} / ${STRINGS.zh.decision.cohortKind[cohort.kind]}（${cohort.series_ids.length} ${STRINGS.zh.decision.seriesUnit}）`;
-}
-
-function rankingLabel(
-  ranking: CollectiveXRanking,
-  cohort: CollectiveXCohort,
-  locale: 'en' | 'zh',
-): string {
-  if (locale === 'en') return ranking.label;
-  if (
-    cohort.kind === 'dispatch-precision' ||
-    cohort.kind === 'combine-precision' ||
-    cohort.kind === 'precision-pair'
-  )
-    return ranking.label;
-  return `${STRINGS.zh.decision.cohortKind[cohort.kind]} ${decisionMetricName(ranking.metric, locale)} T=${ranking.metric.tokens_per_rank}`;
-}
-
-function recommendationLabel(
-  recommendation: CollectiveXRecommendation,
-  seriesById: Map<string, CollectiveXSeries>,
-  locale: 'en' | 'zh',
-): string {
-  if (locale === 'en') return recommendation.label;
-  const point = seriesById
-    .get(recommendation.series_id)
-    ?.points.find((item) => item.point_id === recommendation.point_id);
-  const objective =
-    recommendation.objective === 'min-p50-latency' || recommendation.objective === 'min-p99-latency'
-      ? STRINGS.zh.decision.recommendationObjective[recommendation.objective]
-      : recommendation.objective.includes('activation')
-        ? `highest activation-data rate at ${recommendation.objective.includes('p50') ? 'p50' : 'p99'} latency`
-        : `highest total logical data rate at ${recommendation.objective.includes('p50') ? 'p50' : 'p99'} latency`;
-  return point ? `T=${point.tokens_per_rank} 时 ${objective}` : objective;
-}
-
-function recommendationRationale(
-  recommendation: CollectiveXRecommendation,
-  locale: 'en' | 'zh',
-): string {
-  if (locale === 'zh' && recommendation.rationale === STRINGS.en.decision.rationale) {
-    return STRINGS.zh.decision.rationale;
-  }
-  return recommendation.rationale;
-}
-
-function sensitivityLabel(sensitivity: CollectiveXSensitivity, locale: 'en' | 'zh'): string {
-  if (locale === 'en') return sensitivity.label;
-  return `${STRINGS.zh.decision.sensitivity}：${decisionMetricName(sensitivity.metric, locale)} T=${sensitivity.metric.tokens_per_rank}`;
-}
-
-function recommendationMetric(
-  recommendation: CollectiveXRecommendation,
-  seriesById: Map<string, CollectiveXSeries>,
-): CollectiveXMetric | null {
-  const series = seriesById.get(recommendation.series_id);
-  const point = series?.points.find((item) => item.point_id === recommendation.point_id);
-  if (!series || !point) return null;
-  const [measure, statistic] = {
-    'min-p50-latency': ['latency_us', 'p50'],
-    'min-p99-latency': ['latency_us', 'p99'],
-    'max-activation-data-rate-at-p50-latency': [
-      'activation_data_rate_gbps_at_latency_percentile',
-      'p50',
-    ],
-    'max-activation-data-rate-at-p99-latency': [
-      'activation_data_rate_gbps_at_latency_percentile',
-      'p99',
-    ],
-    'max-total-logical-data-rate-at-p50-latency': [
-      'total_logical_data_rate_gbps_at_latency_percentile',
-      'p50',
-    ],
-    'max-total-logical-data-rate-at-p99-latency': [
-      'total_logical_data_rate_gbps_at_latency_percentile',
-      'p99',
-    ],
-  }[recommendation.objective] as [CollectiveXMetric['measure'], CollectiveXMetric['statistic']];
-  return {
-    operation: 'roundtrip',
-    statistic,
-    measure,
-    objective: measure === 'latency_us' ? 'min' : 'max',
-    tokens_per_rank: point.tokens_per_rank,
-    phase: series.phase,
-  };
-}
-
 export function CollectiveXCoverageTable({ coverage }: { coverage: CollectiveXCoverage[] }) {
   const locale = useLocale();
   const t = STRINGS[locale];
@@ -751,13 +371,6 @@ export function CollectiveXAttemptTable({
         sortValue: (row) => row.attempt_index,
         className: 'tabular-nums',
       },
-      {
-        header: 'Qualification',
-        align: 'right',
-        cell: (row) => `Q${row.qualification_index}`,
-        sortValue: (row) => row.qualification_index,
-        className: 'tabular-nums whitespace-nowrap',
-      },
       {
         header: t.outcomeHeader,
         cell: (row) => <OutcomeBadge outcome={row.outcome} />,
@@ -834,368 +447,3 @@ export function CollectiveXAttemptTable({
     </Card>
   );
 }
-
-interface RankingRow {
-  ranking: CollectiveXRanking;
-  rank: number;
-  series: CollectiveXSeries;
-  value: number;
-  unit: string;
-  pointId: string;
-}
-
-export function CollectiveXDecisionTables({
-  dataset,
-  cohort,
-}: {
-  dataset: CollectiveXDataset;
-  cohort: CollectiveXCohort | null;
-}) {
-  const locale = useLocale();
-  const t = STRINGS[locale];
-  const seriesById = useMemo(
-    () => new Map(dataset.series.map((item) => [item.series_id, item])),
-    [dataset.series],
-  );
-  const rankings = cohort
-    ? dataset.rankings
-        .filter((item) => item.cohort_id === cohort.cohort_id)
-        .toSorted(
-          (left, right) =>
-            compareCollectiveXDecisionMetrics(left.metric, right.metric) ||
-            left.ranking_id.localeCompare(right.ranking_id),
-        )
-    : [];
-  const recommendations = cohort
-    ? dataset.recommendations
-        .filter((item) => item.cohort_id === cohort.cohort_id)
-        .toSorted((left, right) => {
-          const leftMetric = recommendationMetric(left, seriesById);
-          const rightMetric = recommendationMetric(right, seriesById);
-          return (
-            (leftMetric && rightMetric
-              ? compareCollectiveXDecisionMetrics(leftMetric, rightMetric)
-              : 0) || left.recommendation_id.localeCompare(right.recommendation_id)
-          );
-        })
-    : [];
-  const sensitivities = cohort
-    ? dataset.sensitivities
-        .filter((item) => item.cohort_id === cohort.cohort_id)
-        .toSorted(
-          (left, right) =>
-            compareCollectiveXDecisionMetrics(left.metric, right.metric) ||
-            left.candidate_series_id.localeCompare(right.candidate_series_id) ||
-            left.sensitivity_id.localeCompare(right.sensitivity_id),
-        )
-    : [];
-  const rankingRows = rankings.flatMap((ranking) =>
-    ranking.entries
-      .toSorted((left, right) => left.rank - right.rank)
-      .flatMap((entry) => {
-        const series = seriesById.get(entry.series_id);
-        return series
-          ? [
-              {
-                ranking,
-                rank: entry.rank,
-                series,
-                value: entry.value,
-                unit: entry.unit,
-                pointId: entry.point_id,
-              },
-            ]
-          : [];
-      }),
-  );
-  const cohortDisplayLabel = cohort ? collectiveXCohortLabel(cohort, seriesById, locale) : '';
-  const cohortMembers = cohort
-    ? cohort.series_ids.flatMap((seriesId) => {
-        const series = seriesById.get(seriesId);
-        return series ? [series] : [];
-      })
-    : [];
-  const sampling = cohortMembers[0]?.measurement;
-  const rankingColumns = useMemo<DataTableColumn<RankingRow>[]>(
-    () => [
-      {
-        header: t.comparison,
-        cell: (row) => (cohort ? rankingLabel(row.ranking, cohort, locale) : row.ranking.label),
-        sortValue: (row) =>
-          cohort ? rankingLabel(row.ranking, cohort, locale) : row.ranking.label,
-      },
-      {
-        header: t.metric,
-        cell: (row) => metricLabel(row.ranking, locale),
-        sortValue: (row) => metricLabel(row.ranking, locale),
-      },
-      {
-        header: t.rank,
-        align: 'right',
-        cell: (row) => row.rank,
-        sortValue: (row) => row.rank,
-        className: 'tabular-nums',
-      },
-      {
-        header: t.tierHeader,
-        cell: (row) => <PublicationTierBadge tier={row.ranking.publication_tier} />,
-        sortValue: (row) =>
-          row.ranking.publication_tier === 'official' ? t.tier.official : t.tier.experimental,
-      },
-      {
-        header: t.configuration,
-        cell: (row) => collectiveXSeriesLabel(row.series),
-        sortValue: (row) => collectiveXSeriesLabel(row.series),
-        className: 'font-medium whitespace-nowrap',
-      },
-      {
-        header: t.point,
-        cell: (row) => (
-          <span title={row.pointId} className="font-mono text-xs">
-            {shortId(row.pointId)}
-          </span>
-        ),
-        sortValue: (row) => row.pointId,
-      },
-      ...seriesContextColumns((row: RankingRow) => [row.series], t),
-      {
-        header: t.value,
-        align: 'right',
-        cell: (row) =>
-          `${row.value.toLocaleString(locale === 'zh' ? 'zh-CN' : 'en-US', { maximumFractionDigits: 2 })} ${row.unit}`,
-        sortValue: (row) => row.value,
-        className: 'tabular-nums whitespace-nowrap',
-      },
-    ],
-    [cohort, locale, t],
-  );
-
-  if (!cohort) {
-    return (
-      <Card data-testid="collectivex-no-decisions">
-        <p className="text-sm text-muted-foreground">{t.noControlledCohort}</p>
-      </Card>
-    );
-  }
-
-  return (
-    <>
-      <Card data-testid="collectivex-rankings">
-        <div className="flex flex-wrap items-start justify-between gap-2">
-          <div>
-            <h2 className="text-lg font-semibold">{t.rankings}</h2>
-            <p className="mt-1 text-sm text-muted-foreground">{cohortDisplayLabel}</p>
-            <p className="mt-1 text-sm text-muted-foreground">
-              {cohortDescription(cohort, locale)}
-            </p>
-          </div>
-          <div className="flex items-center gap-2">
-            <PublicationTierBadge tier={cohort.publication_tier} />
-            <Badge variant="outline">
-              {cohort.eligibility.allocation_ids.length} {t.allocations}
-            </Badge>
-          </div>
-        </div>
-        <div data-testid="collectivex-comparison-contract" className="mt-4 border-y py-3 text-sm">
-          <h3 className="font-medium">{t.comparisonContract}</h3>
-          <dl className="mt-2 grid gap-x-6 gap-y-3 md:grid-cols-2 xl:grid-cols-4">
-            <div>
-              <dt className="text-xs text-muted-foreground">{t.controlledFactors}</dt>
-              <dd className="mt-1">
-                {cohort.controlled_factors.map((item) => factorLabel(item, locale)).join(' · ')}
-              </dd>
-            </div>
-            <div>
-              <dt className="text-xs text-muted-foreground">{t.varyingFactors}</dt>
-              <dd className="mt-1">
-                {cohort.varying_factors.map((item) => factorLabel(item, locale)).join(' · ')}
-              </dd>
-            </div>
-            {sampling && (
-              <div>
-                <dt className="text-xs text-muted-foreground">{t.sampling}</dt>
-                <dd className="mt-1">
-                  {t.samplingValue(sampling.trials, sampling.iters, sampling.samples_per_component)}
-                </dd>
-                <dt className="mt-2 text-xs text-muted-foreground">{t.warmups}</dt>
-                <dd className="mt-1">{t.warmupValue(sampling.warmups)}</dd>
-              </div>
-            )}
-            <div>
-              <dt className="text-xs text-muted-foreground">{t.stableOrdering}</dt>
-              <dd className="mt-1">
-                {cohort.eligibility.stable_ordering
-                  ? t.passed
-                  : cohort.eligibility.reasons
-                      .map((reason) => collectiveXReasonLabel(reason, locale))
-                      .join(', ') || t.notPassed}
-              </dd>
-            </div>
-          </dl>
-        </div>
-        <DataTable
-          data={rankingRows}
-          columns={rankingColumns}
-          testId="collectivex-rankings-table"
-          analyticsPrefix="collectivex_rankings_table"
-        />
-      </Card>
-      {recommendations.length > 0 && (
-        <RecommendationTable recommendations={recommendations} seriesById={seriesById} />
-      )}
-      {sensitivities.length > 0 && (
-        <SensitivityTable sensitivities={sensitivities} seriesById={seriesById} />
-      )}
-    </>
-  );
-}
-
-function RecommendationTable({
-  recommendations,
-  seriesById,
-}: {
-  recommendations: CollectiveXRecommendation[];
-  seriesById: Map<string, CollectiveXSeries>;
-}) {
-  const locale = useLocale();
-  const t = STRINGS[locale];
-  const columns = useMemo<DataTableColumn<CollectiveXRecommendation>[]>(
-    () => [
-      {
-        header: t.objective,
-        cell: (row) => recommendationLabel(row, seriesById, locale),
-        sortValue: (row) => recommendationLabel(row, seriesById, locale),
-      },
-      {
-        header: t.recommendedConfiguration,
-        cell: (row) => {
-          const series = seriesById.get(row.series_id);
-          return series ? collectiveXSeriesLabel(series) : '-';
-        },
-        sortValue: (row) => {
-          const series = seriesById.get(row.series_id);
-          return series ? collectiveXSeriesLabel(series) : '';
-        },
-        className: 'font-medium whitespace-nowrap',
-      },
-      {
-        header: t.point,
-        cell: (row) => (
-          <span title={row.point_id} className="font-mono text-xs">
-            {shortId(row.point_id)}
-          </span>
-        ),
-        sortValue: (row) => row.point_id,
-      },
-      ...seriesContextColumns((row: CollectiveXRecommendation) => {
-        const series = seriesById.get(row.series_id);
-        return series ? [series] : [];
-      }, t),
-      {
-        header: t.tierHeader,
-        cell: (row) => <PublicationTierBadge tier={row.publication_tier} />,
-        sortValue: (row) =>
-          row.publication_tier === 'official' ? t.tier.official : t.tier.experimental,
-      },
-      {
-        header: t.value,
-        align: 'right',
-        cell: (row) =>
-          `${row.value.toLocaleString(locale === 'zh' ? 'zh-CN' : 'en-US', { maximumFractionDigits: 2 })} ${row.unit}`,
-        sortValue: (row) => row.value,
-        className: 'tabular-nums whitespace-nowrap',
-      },
-      {
-        header: t.basis,
-        cell: (row) => recommendationRationale(row, locale),
-        sortValue: (row) => recommendationRationale(row, locale),
-      },
-    ],
-    [locale, seriesById, t],
-  );
-  return (
-    <Card data-testid="collectivex-recommendations">
-      <h2 className="text-lg font-semibold">{t.bestConfigurations}</h2>
-      <DataTable
-        data={recommendations}
-        columns={columns}
-        testId="collectivex-recommendations-table"
-        analyticsPrefix="collectivex_recommendations_table"
-      />
-    </Card>
-  );
-}
-
-function SensitivityTable({
-  sensitivities,
-  seriesById,
-}: {
-  sensitivities: CollectiveXSensitivity[];
-  seriesById: Map<string, CollectiveXSeries>;
-}) {
-  const locale = useLocale();
-  const t = STRINGS[locale];
-  const columns = useMemo<DataTableColumn<CollectiveXSensitivity>[]>(
-    () => [
-      {
-        header: t.contrast,
-        cell: (row) => sensitivityLabel(row, locale),
-        sortValue: (row) => sensitivityLabel(row, locale),
-      },
-      {
-        header: t.baseline,
-        cell: (row) => {
-          const series = seriesById.get(row.baseline_series_id);
-          return series ? collectiveXSeriesLabel(series) : '-';
-        },
-        sortValue: (row) => {
-          const series = seriesById.get(row.baseline_series_id);
-          return series ? collectiveXSeriesLabel(series) : '';
-        },
-      },
-      {
-        header: t.candidate,
-        cell: (row) => {
-          const series = seriesById.get(row.candidate_series_id);
-          return series ? collectiveXSeriesLabel(series) : '-';
-        },
-        sortValue: (row) => {
-          const series = seriesById.get(row.candidate_series_id);
-          return series ? collectiveXSeriesLabel(series) : '';
-        },
-      },
-      ...seriesContextColumns(
-        (row: CollectiveXSensitivity) =>
-          [seriesById.get(row.baseline_series_id), seriesById.get(row.candidate_series_id)].filter(
-            (item): item is CollectiveXSeries => item !== undefined,
-          ),
-        t,
-      ),
-      {
-        header: t.tierHeader,
-        cell: (row) => <PublicationTierBadge tier={row.publication_tier} />,
-        sortValue: (row) =>
-          row.publication_tier === 'official' ? t.tier.official : t.tier.experimental,
-      },
-      {
-        header: t.change,
-        align: 'right',
-        cell: (row) => `${(row.signed_change_ratio * 100).toFixed(1)}%`,
-        sortValue: (row) => row.signed_change_ratio,
-        className: 'tabular-nums',
-      },
-    ],
-    [locale, seriesById, t],
-  );
-  return (
-    <Card data-testid="collectivex-sensitivity">
-      <h2 className="text-lg font-semibold">{t.routingSensitivity}</h2>
-      <DataTable
-        data={sensitivities}
-        columns={columns}
-        testId="collectivex-sensitivity-table"
-        analyticsPrefix="collectivex_sensitivity_table"
-      />
-    </Card>
-  );
-}
diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
index b6140167f..b838d8736 100644
--- a/packages/app/src/components/collectivex/data.test.ts
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -1,245 +1,155 @@
-import { createHash } from 'node:crypto';
-import { readFileSync } from 'node:fs';
-
 import { describe, expect, it } from 'vitest';
 
 import {
   chartPoints,
-  cohortMatchesSelection,
-  compareCollectiveXDecisionMetrics,
   collectiveXColorKey,
-  collectiveXInitialScope,
   collectiveXSeriesLabel,
   collectiveXTopologyLabel,
   comparisonDifferences,
   metricValue,
+  seriesMatchesSelection,
+  type CollectiveXSeriesSelection,
 } from './data';
-import { makeCollectiveXDataset } from './test-fixture';
-
-describe('CollectiveX EP projections', () => {
-  it('covers the complete frozen eight-SKU V1 matrix catalog', () => {
-    const bytes = readFileSync(new URL('full-catalog.v1.json', import.meta.url));
-    const catalog = JSON.parse(bytes.toString()) as {
-      format: string;
-      schema_version: number;
-      matrix_sha256: string;
-      case_count: number;
-      point_count: number;
-      precision_profiles: Record<string, unknown>;
-      cases: {
-        case_id: string;
-        disposition: 'runnable' | 'unsupported';
-        points: unknown[];
-        precision_profile: string;
-        sku: string;
-      }[];
-    };
-
-    expect(createHash('sha256').update(bytes).digest('hex')).toBe(
-      'b06a7f51e04d96e76444d8256d14ee475b4f267b27cc84a937a1dea010a9453e',
-    );
-    expect(catalog).toMatchObject({
-      format: 'collectivex.frontend-catalog.v1',
-      schema_version: 1,
-      matrix_sha256: '3048ef24d2d78751321aa5008dd6e2f83c0e6b881fe8d12811a3bfbda6419c9c',
-      case_count: 322,
-      point_count: 1314,
-    });
-    expect(new Set(catalog.cases.map(({ case_id }) => case_id)).size).toBe(322);
-    expect(catalog.cases.reduce((count, { points }) => count + points.length, 0)).toBe(1314);
-    expect(catalog.cases.filter(({ disposition }) => disposition === 'runnable')).toHaveLength(167);
-    expect(catalog.cases.filter(({ disposition }) => disposition === 'unsupported')).toHaveLength(
-      155,
-    );
-    expect([...new Set(catalog.cases.map(({ sku }) => sku))].toSorted()).toEqual([
-      'b200-dgxc',
-      'b300',
-      'gb200',
-      'gb300',
-      'h100-dgxc',
-      'h200-dgxc',
-      'mi300x',
-      'mi355x',
-    ]);
-    expect(catalog.cases.some(({ sku }) => sku === 'mi325x')).toBe(false);
-    expect(
-      [...new Set(catalog.cases.map(({ precision_profile }) => precision_profile))].toSorted(),
-    ).toEqual(Object.keys(catalog.precision_profiles).toSorted());
-  });
+import { makeCollectiveXDataset, makeCollectiveXSeries } from './test-fixture';
 
-  it('lands on controlled only when decision-grade covers every measured SKU at the phase', () => {
-    const dataset = makeCollectiveXDataset();
-    // Every fixture series is decision-grade, so the decision-grade set covers both
-    // measured SKUs (H100, B200) at decode: controlled is safe.
-    expect(collectiveXInitialScope(dataset.series, 'decode')).toBe('controlled');
+const dataset = makeCollectiveXDataset();
+// series[0]: nccl-ep EP8 scale-up (nvlink, single node).
+// series[1]: deepep EP16 scale-out (nvlink scale-up + rdma scale-out, two nodes).
+const [scaleUp, scaleOut] = dataset.series;
 
-    // Drop B200 out of the decision-grade set: it still has decode data, so the
-    // controlled view would hide it — fall back to the full-evidence scope.
-    const partial = dataset.series.map((series) =>
-      series.system.sku === 'b200' ? { ...series, status: 'diagnostic' as const } : series,
+describe('collectiveXTopologyLabel', () => {
+  it('shows only the scale-up transport when there is no scale-out fabric', () => {
+    expect(collectiveXTopologyLabel(scaleUp.system)).toBe(
+      '1x8 · domain 8 · nvlink · nvlink-domain',
     );
-    expect(collectiveXInitialScope(partial, 'decode')).toBe('diagnostic');
-
-    // No series at the phase: nothing to hide, keep the rigorous default.
-    expect(collectiveXInitialScope(dataset.series, 'prefill')).toBe('controlled');
-  });
-
-  it('orders decision metrics by phase, token count, measure, and percentile', () => {
-    const base = makeCollectiveXDataset().rankings[0].metric;
-    const metrics = [
-      { ...base, phase: 'prefill' as const, tokens_per_rank: 512, statistic: 'p99' as const },
-      {
-        ...base,
-        measure: 'total_logical_data_rate_gbps_at_latency_percentile' as const,
-        objective: 'max' as const,
-        statistic: 'p50' as const,
-      },
-      { ...base, tokens_per_rank: 16, statistic: 'p99' as const },
-      { ...base, tokens_per_rank: 16, statistic: 'p50' as const },
-    ].toSorted(compareCollectiveXDecisionMetrics);
+  });
 
-    expect(
-      metrics.map(
-        (metric) =>
-          `${metric.phase}/${metric.tokens_per_rank}/${metric.measure}/${metric.statistic}`,
-      ),
-    ).toEqual([
-      'decode/16/latency_us/p50',
-      'decode/16/latency_us/p99',
-      'decode/128/total_logical_data_rate_gbps_at_latency_percentile/p50',
-      'prefill/512/latency_us/p99',
-    ]);
-  });
-
-  it('uses measured roundtrip without synthesizing nullable components', () => {
-    const dataset = makeCollectiveXDataset();
-    const pairedOnly = dataset.series[1].points[0];
-
-    expect(metricValue(pairedOnly, 'dispatch', 'p99', 'latency')).toBeNull();
-    expect(metricValue(pairedOnly, 'combine', 'p99', 'total-logical-rate')).toBeNull();
-    expect(metricValue(pairedOnly, 'roundtrip', 'p99', 'latency')).toBe(120);
-    expect(metricValue(pairedOnly, 'roundtrip', 'p99', 'tokens-per-second')).toBeCloseTo(
-      8_533_333.33,
+  it('joins scale-up and scale-out transports when a scale-out fabric is present', () => {
+    expect(collectiveXTopologyLabel(scaleOut.system)).toBe(
+      '2x8 · domain 8 · nvlink+rdma · multi-node',
     );
   });
+});
 
-  it('uses publisher supplied activation and total logical rates', () => {
-    const point = makeCollectiveXDataset().series[0].points[0];
-    point.components.roundtrip!.activation_data_rate_gbps_at_latency_percentile!.p99 = 123.45;
-    point.components.roundtrip!.total_logical_data_rate_gbps_at_latency_percentile!.p99 = 125.67;
+describe('collectiveXSeriesLabel', () => {
+  it('renders the identifying axes of a series', () => {
+    const label = collectiveXSeriesLabel(scaleUp);
+    expect(label.startsWith('H200-DGXC EP8 · nccl-ep · normal · scale-up')).toBe(true);
+    expect(label).toContain('decode');
+    expect(label).toContain('d-bf16.c-bf16');
+    expect(label).toContain('unversioned');
+    expect(label).toContain('build cccccccc');
+  });
 
-    expect(metricValue(point, 'roundtrip', 'p99', 'activation-rate')).toBe(123.45);
-    expect(metricValue(point, 'roundtrip', 'p99', 'total-logical-rate')).toBe(125.67);
-    expect(metricValue(point, 'roundtrip', 'p95', 'total-logical-rate')).toBeGreaterThan(0);
+  it('shows the backend version when one is present', () => {
+    expect(collectiveXSeriesLabel(scaleOut)).toContain('EP16');
+    expect(collectiveXSeriesLabel(scaleOut)).toContain('2.1');
   });
+});
 
-  it('omits unavailable series from a component projection', () => {
-    const series = makeCollectiveXDataset().series;
+describe('collectiveXColorKey', () => {
+  it('assigns the same key to two series with identical configuration', () => {
+    const a = makeCollectiveXSeries({ variant: 'a' });
+    const b = makeCollectiveXSeries({ variant: 'b' });
+    // The color key is configuration-derived and excludes the series id.
+    expect(collectiveXColorKey(a)).toBe(collectiveXColorKey(b));
+  });
 
-    expect(chartPoints(series, 'dispatch', 'p99', 'tokens-per-rank', 'latency')).toHaveLength(1);
-    expect(chartPoints(series, 'stage', 'p99', 'tokens-per-rank', 'latency')).toHaveLength(1);
-    expect(chartPoints(series, 'roundtrip', 'p99', 'tokens-per-rank', 'latency')).toHaveLength(7);
+  it('assigns distinct keys to series differing in EP degree', () => {
+    const a = makeCollectiveXSeries({ ep: 8 });
+    const b = makeCollectiveXSeries({ ep: 16 });
+    expect(collectiveXColorKey(a)).not.toBe(collectiveXColorKey(b));
   });
+});
 
-  it('reports mismatched diagnostic factors without deciding comparability', () => {
-    const series = makeCollectiveXDataset().series;
-    series[1].workload.routing = 'zipf';
-    series[1].system.topology_class = 'other-topology';
+describe('seriesMatchesSelection', () => {
+  const base: CollectiveXSeriesSelection = {
+    mode: 'normal',
+    epSize: 8,
+    phase: 'decode',
+    fabricScope: 'all',
+  };
+
+  it('matches on mode, ep size, phase, and any fabric scope', () => {
+    expect(seriesMatchesSelection(scaleUp, base)).toBe(true);
+    expect(seriesMatchesSelection(scaleUp, { ...base, fabricScope: 'scale-up' })).toBe(true);
+  });
 
-    expect(comparisonDifferences(series)).toEqual(expect.arrayContaining(['routing', 'topology']));
+  it('rejects a series whose scope, ep, mode, or phase differs from the selection', () => {
+    expect(seriesMatchesSelection(scaleUp, { ...base, fabricScope: 'scale-out' })).toBe(false);
+    expect(seriesMatchesSelection(scaleUp, { ...base, epSize: 16 })).toBe(false);
+    expect(seriesMatchesSelection(scaleUp, { ...base, mode: 'low-latency' })).toBe(false);
+    expect(seriesMatchesSelection(scaleUp, { ...base, phase: 'prefill' })).toBe(false);
   });
+});
 
-  it('reports implementation, transport, and resource differences', () => {
-    const base = makeCollectiveXDataset().series[0];
-    const different = structuredClone(base);
-    different.backend.version = '2.0.0';
-    different.build.image_digest = `sha256:${'f'.repeat(64)}`;
-    different.system.transport = 'pcie';
-    different.resource.configured_units = 12;
+describe('metricValue', () => {
+  const point = scaleUp.points[0];
 
-    expect(comparisonDifferences([base, different])).toEqual(
-      expect.arrayContaining([
-        'backend implementation',
-        'implementation build',
-        'transport',
-        'resource profile',
-      ]),
-    );
-    expect(collectiveXColorKey(base)).not.toBe(collectiveXColorKey(different));
-    expect(collectiveXSeriesLabel(base)).toContain(
-      '1.0.0 · backend-default · build dddddddd · series 00000001',
+  it('returns the latency percentile for the requested component', () => {
+    expect(metricValue(point, 'dispatch', 'p50', 'latency')).toBe(
+      point.components.dispatch?.latency_us.p50,
     );
-    expect(collectiveXSeriesLabel(base)).toContain('normal · scale-up · single-node-nvlink');
-    expect(collectiveXTopologyLabel(base.system)).toContain('1x8 · domain 8 · nvlink');
   });
 
-  it('keeps publisher cohorts whole when applying mode, EP, phase, and fabric filters', () => {
-    const dataset = makeCollectiveXDataset();
-    const cohort = dataset.cohorts[0];
-    const seriesById = new Map(dataset.series.map((series) => [series.series_id, series]));
-    const selection = {
-      mode: 'normal' as const,
-      epSize: 8,
-      phase: 'decode' as const,
-      fabricScope: 'scale-up' as const,
-    };
-
-    expect(cohortMatchesSelection(cohort, seriesById, selection)).toBe(true);
+  it('returns the roundtrip token rate only for the roundtrip operation', () => {
+    expect(metricValue(point, 'roundtrip', 'p50', 'tokens-per-second')).toBe(
+      point.roundtrip_token_rate_at_latency_percentile.p50,
+    );
+    expect(metricValue(point, 'dispatch', 'p50', 'tokens-per-second')).toBeNull();
+  });
 
-    const mixedMode = new Map(seriesById);
-    const changed = structuredClone(mixedMode.get(cohort.series_ids[0])!);
-    changed.mode = 'low-latency';
-    mixedMode.set(changed.series_id, changed);
-    expect(cohortMatchesSelection(cohort, mixedMode, selection)).toBe(false);
+  it('returns the activation and total-logical data rates', () => {
+    expect(metricValue(point, 'dispatch', 'p50', 'activation-rate')).toBeGreaterThan(0);
+    expect(metricValue(point, 'dispatch', 'p50', 'total-logical-rate')).toBeGreaterThan(0);
+  });
 
-    expect(
-      cohortMatchesSelection(cohort, seriesById, { ...selection, fabricScope: 'scale-out' }),
-    ).toBe(false);
-    expect(cohortMatchesSelection(cohort, seriesById, { ...selection, epSize: 16 })).toBe(false);
-    expect(cohortMatchesSelection(cohort, seriesById, { ...selection, phase: 'prefill' })).toBe(
-      false,
-    );
+  it('returns null for an unavailable component', () => {
+    const unavailable = makeCollectiveXSeries({ rows: [{ stageUnavailable: true }] }).points[0];
+    expect(metricValue(unavailable, 'stage', 'p50', 'latency')).toBeNull();
   });
 
-  it('binds mode and exact topology into labels, colors, and mismatch warnings', () => {
-    const base = makeCollectiveXDataset().series[0];
-    const different = structuredClone(base);
-    different.mode = 'low-latency';
-    different.system.scope = 'scale-out';
-    different.system.nodes = 2;
-    different.system.scale_out_transport = 'rdma';
-    different.system.transport = 'nvlink-rdma';
-    different.system.topology_class = 'h100-nvlink-rdma';
+  it('returns null for a derived component with no byte accounting', () => {
+    expect(metricValue(point, 'isolated-sum', 'p50', 'activation-rate')).toBeNull();
+  });
+});
 
-    expect(collectiveXColorKey(base)).not.toBe(collectiveXColorKey(different));
-    expect(collectiveXSeriesLabel(different)).toContain(
-      'low-latency · scale-out · h100-nvlink-rdma',
-    );
-    expect(comparisonDifferences([base, different])).toEqual(
-      expect.arrayContaining(['mode', 'fabric scope', 'topology']),
-    );
+describe('chartPoints', () => {
+  it('emits one point per token row with populated axes', () => {
+    const points = chartPoints([scaleUp], 'dispatch', 'p50', 'tokens-per-rank', 'latency');
+    expect(points).toHaveLength(scaleUp.points.length);
+    for (const point of points) {
+      expect(point.seriesId).toBe(scaleUp.series_id);
+      expect(point.colorKey).toBe(collectiveXColorKey(scaleUp));
+      expect(point.x).toBeGreaterThan(0);
+      expect(point.y).toBeGreaterThan(0);
+    }
   });
 
-  it('gives routing variants distinct visual identities', () => {
-    const [uniform, zipf] = makeCollectiveXDataset().series;
-    zipf.workload.routing = 'zipf';
+  it('drops points whose metric is unavailable', () => {
+    // Dispatch has no per-operation token rate, so tokens-per-second is null everywhere.
+    expect(
+      chartPoints([scaleUp], 'dispatch', 'p50', 'tokens-per-rank', 'tokens-per-second'),
+    ).toHaveLength(0);
+  });
 
-    expect(collectiveXColorKey(uniform)).not.toBe(collectiveXColorKey(zipf));
-    zipf.workload.eplb = true;
-    expect(collectiveXColorKey(zipf)).toContain('zipf-eplb');
+  it('keeps roundtrip token-rate points', () => {
+    const points = chartPoints([scaleUp], 'roundtrip', 'p50', 'global-tokens', 'tokens-per-second');
+    expect(points).toHaveLength(scaleUp.points.length);
   });
+});
 
-  it('keeps public config, routing-control, and runtime builds visually distinct', () => {
-    const base = makeCollectiveXDataset().series[0];
-    const publicConfig = structuredClone(base);
-    const routingControl = structuredClone(base);
-    const runtime = structuredClone(base);
-    publicConfig.build.public_config_sha256 = '0'.repeat(64);
-    routingControl.build.routing_control_sha256 = '9'.repeat(64);
-    runtime.build.runtime_fingerprint_sha256 = '6'.repeat(64);
+describe('comparisonDifferences', () => {
+  it('returns no warnings for a single series or a series compared with itself', () => {
+    expect(comparisonDifferences([scaleUp])).toEqual([]);
+    expect(comparisonDifferences([scaleUp, scaleUp])).toEqual([]);
+  });
 
-    expect(collectiveXColorKey(base)).not.toBe(collectiveXColorKey(publicConfig));
-    expect(collectiveXColorKey(base)).not.toBe(collectiveXColorKey(routingControl));
-    expect(collectiveXColorKey(base)).not.toBe(collectiveXColorKey(runtime));
+  it('flags the dimensions that differ across compared series', () => {
+    const warnings = comparisonDifferences([scaleUp, scaleOut]);
+    expect(warnings).toContain('EP degree');
+    expect(warnings).toContain('fabric scope');
+    expect(warnings).toContain('backend implementation');
+    expect(warnings).toContain('transport');
   });
 });
diff --git a/packages/app/src/components/collectivex/data.ts b/packages/app/src/components/collectivex/data.ts
index 20fdc12df..95bac48af 100644
--- a/packages/app/src/components/collectivex/data.ts
+++ b/packages/app/src/components/collectivex/data.ts
@@ -1,8 +1,6 @@
 import type {
   CollectiveXChartPoint,
-  CollectiveXCohort,
   CollectiveXComponent,
-  CollectiveXMetric,
   CollectiveXMode,
   CollectiveXOperation,
   CollectiveXPercentile,
@@ -16,31 +14,6 @@ import type {
 
 export type CollectiveXFabricScope = 'all' | CollectiveXTopologyScope;
 
-export type CollectiveXEvidenceScope = 'controlled' | 'diagnostic';
-
-// Choose the landing scope for a freshly loaded dataset. Controlled (decision-grade
-// only) is the rigorous default, but on a partial-coverage publication — e.g. a
-// single-run v1 where the strict within-run trial gate leaves whole SKUs
-// diagnostic-tier — the controlled view would hide every series for those SKUs. When
-// any SKU with measured data at the landing phase has no decision-grade series there,
-// fall back to the full-evidence (diagnostic) scope so no working SKU is hidden by
-// default. When decision-grade coverage is complete, Controlled stays the default.
-export function collectiveXInitialScope(
-  series: CollectiveXSeries[],
-  phase: CollectiveXPhase,
-): CollectiveXEvidenceScope {
-  const atPhase = series.filter((item) => item.phase === phase);
-  if (atPhase.length === 0) return 'controlled';
-  const decisionGradeSkus = new Set(
-    atPhase.filter((item) => item.status === 'decision-grade').map((item) => item.system.sku),
-  );
-  const measuredSkus = new Set(atPhase.map((item) => item.system.sku));
-  for (const sku of measuredSkus) {
-    if (!decisionGradeSkus.has(sku)) return 'diagnostic';
-  }
-  return 'controlled';
-}
-
 export interface CollectiveXSeriesSelection {
   mode: CollectiveXMode;
   epSize: number;
@@ -48,30 +21,6 @@ export interface CollectiveXSeriesSelection {
   fabricScope: CollectiveXFabricScope;
 }
 
-const DECISION_ORDER = {
-  phase: { decode: 0, prefill: 1 },
-  measure: {
-    latency_us: 0,
-    activation_data_rate_gbps_at_latency_percentile: 1,
-    total_logical_data_rate_gbps_at_latency_percentile: 2,
-  },
-  statistic: { p50: 0, p99: 1 },
-  objective: { min: 0, max: 1 },
-} as const;
-
-export function compareCollectiveXDecisionMetrics(
-  left: CollectiveXMetric,
-  right: CollectiveXMetric,
-): number {
-  return (
-    DECISION_ORDER.phase[left.phase] - DECISION_ORDER.phase[right.phase] ||
-    left.tokens_per_rank - right.tokens_per_rank ||
-    DECISION_ORDER.measure[left.measure] - DECISION_ORDER.measure[right.measure] ||
-    DECISION_ORDER.statistic[left.statistic] - DECISION_ORDER.statistic[right.statistic] ||
-    DECISION_ORDER.objective[left.objective] - DECISION_ORDER.objective[right.objective]
-  );
-}
-
 export function collectiveXTopologyLabel(
   system: Pick<
     CollectiveXSeries['system'],
@@ -91,17 +40,16 @@ export function collectiveXTopologyLabel(
 
 export function collectiveXSeriesLabel(series: CollectiveXSeries): string {
   const version = series.backend.version ?? 'unversioned';
-  const build = series.build.implementation_contract_sha256.slice(0, 8);
+  const build = series.build.source_sha.slice(0, 8);
   const identity = series.series_id.slice(-8);
-  const tier = series.publication_tier === 'official' ? 'official' : 'experimental';
   const routing = `${series.workload.routing}${series.workload.eplb ? '+eplb' : ''}`;
-  return `${series.system.sku.toUpperCase()} EP${series.system.ep_size} · ${series.backend.label} · ${series.mode} · ${series.system.scope} · ${series.system.topology_class} · ${series.phase} · ${routing} · ${series.workload.precision_profile} · ${version} · ${series.resource.profile} · build ${build} · series ${identity} · ${tier}`;
+  return `${series.system.sku.toUpperCase()} EP${series.system.ep_size} · ${series.backend.label} · ${series.mode} · ${series.system.scope} · ${series.system.topology_class} · ${series.phase} · ${routing} · ${series.workload.precision_profile} · ${version} · ${series.resource.profile} · build ${build} · series ${identity}`;
 }
 
 export function collectiveXColorKey(series: CollectiveXSeries): string {
   const routing = `${series.workload.routing}${series.workload.eplb ? '-eplb' : ''}`;
   const eplb = series.eplb.enabled
-    ? `${series.eplb.planner ?? 'enabled'}-${series.eplb.mapping_sha256 ?? 'unmapped'}-${series.eplb.physical_experts}`
+    ? `${series.eplb.planner ?? 'enabled'}-${series.eplb.mapping_sha256 ?? 'unmapped'}-${series.eplb.physical_experts ?? 'auto'}`
     : 'eplb-off';
   const units = `${series.resource.comm_units_kind ?? 'units'}-${series.resource.configured_units ?? 'default'}`;
   return [
@@ -118,11 +66,6 @@ export function collectiveXColorKey(series: CollectiveXSeries): string {
     series.backend.id,
     series.backend.generation ?? 'default',
     series.backend.version ?? 'unversioned',
-    series.publication_tier,
-    series.build.implementation_contract_sha256,
-    series.build.public_config_sha256,
-    series.build.routing_control_sha256,
-    series.build.runtime_fingerprint_sha256,
     series.build.image_digest,
     series.build.source_sha,
     series.build.squash_sha256,
@@ -148,17 +91,6 @@ export function seriesMatchesSelection(
   );
 }
 
-export function cohortMatchesSelection(
-  cohort: CollectiveXCohort,
-  seriesById: Map<string, CollectiveXSeries>,
-  selection: CollectiveXSeriesSelection,
-): boolean {
-  return cohort.series_ids.every((seriesId) => {
-    const series = seriesById.get(seriesId);
-    return series !== undefined && seriesMatchesSelection(series, selection);
-  });
-}
-
 function operationComponent(
   point: CollectiveXPoint,
   operation: CollectiveXOperation,
@@ -223,7 +155,6 @@ export function comparisonDifferences(series: CollectiveXSeries[]): string[] {
   const checks: [string, (item: CollectiveXSeries) => unknown][] = [
     ['model', (item) => item.model],
     ['suite', (item) => item.suite],
-    ['publication tier', (item) => item.publication_tier],
     ['mode', (item) => item.mode],
     ['phase', (item) => item.phase],
     ['backend implementation', (item) => JSON.stringify(item.backend)],
diff --git a/packages/app/src/components/collectivex/reader.test.ts b/packages/app/src/components/collectivex/reader.test.ts
index 007d83157..f8143f9c8 100644
--- a/packages/app/src/components/collectivex/reader.test.ts
+++ b/packages/app/src/components/collectivex/reader.test.ts
@@ -1,883 +1,353 @@
-import { beforeEach, describe, expect, it, vi } from 'vitest';
+import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
 
 import {
-  collectiveXChannelUrl,
-  collectiveXDatasetUrl,
+  buildDatasetFromNeutral,
+  buildRunSummary,
+  collectiveXAvailabilityReason,
+  collectiveXLatestUrl,
+  collectiveXRunUrl,
   collectiveXRunsUrl,
-  fetchCollectiveXByDigest,
-  fetchCollectiveXPublication,
+  fetchCollectiveXByRunId,
+  fetchCollectiveXLatest,
   fetchCollectiveXRuns,
-  parseCollectiveXChannel,
   parseCollectiveXDataset,
+  parseCollectiveXDatasetText,
   parseCollectiveXRuns,
-  sha256Hex,
 } from './reader';
 import {
-  makeCollectiveXContractDataset,
+  buildDataset,
   makeCollectiveXDataset,
-  makeCollectiveXDiagnosticDataset,
-  makeCollectiveXDatasetWithPrecisionCohorts,
-  makeCollectiveXInventoryDataset,
+  makeCollectiveXSeries,
+  makeRawMatrix,
+  makeRawShard,
+  makeRawTerminal,
+  makeRunMeta,
 } from './test-fixture';
 
-const mockFetch = vi.fn();
-vi.stubGlobal('fetch', mockFetch);
+const IMAGE_DIGEST = `sha256:${'a'.repeat(64)}`;
+const SQUASH_SHA256 = 'b'.repeat(64);
+const SOURCE_SHA = 'c'.repeat(40);
 
-beforeEach(() => mockFetch.mockReset());
-
-describe('CollectiveX publication reader', () => {
-  it('hashes bytes without requiring secure-context Web Crypto', async () => {
-    await expect(sha256Hex(new TextEncoder().encode('abc'))).resolves.toBe(
-      'ba7816bf8f01cfea414140de5dae2223b00361a396177a9cb410ff61f20015ad',
-    );
-  });
+function fakeResponse(body: string, status = 200): Response {
+  return {
+    ok: status >= 200 && status < 300,
+    status,
+    text: () => Promise.resolve(body),
+  } as unknown as Response;
+}
 
-  it('accepts the strict public shape without recomputing publisher policy', () => {
+// ---------------------------------------------------------------------------
+// Neutral → view assembly
+// ---------------------------------------------------------------------------
+describe('CollectiveX neutral → view assembly', () => {
+  it('assembles a schema-valid view dataset from matrix + shard docs', () => {
     const dataset = makeCollectiveXDataset();
-    const nonSuccessAttempt = dataset.attempts.find(
-      (attempt) => attempt.outcome === 'unsupported',
-    )!;
-    nonSuccessAttempt.failure_mode = 'future-runtime-mode';
-    nonSuccessAttempt.reason = 'future-runtime-reason';
-    const nonSuccessCoverage = dataset.coverage.find(
-      (item) => item.selected_attempt_id === nonSuccessAttempt.attempt_id,
-    )!;
-    nonSuccessCoverage.failure_mode = 'future-runtime-mode';
-    nonSuccessCoverage.reason = 'future-runtime-reason';
-
-    const result = parseCollectiveXDataset(dataset);
-
-    expect(result.series[0].publication_tier).toBe('official');
-    expect(result.cohorts.find((item) => item.kind === 'routing')?.publication_tier).toBe(
-      'comparable-experimental',
-    );
-    expect(result.series[1].points[0].components.dispatch).toBeNull();
-  });
-
-  it('accepts a measured host-staging component with zero logical bytes and zero rate', () => {
-    // A host-staging (`stage`) step can spend real latency moving nothing over
-    // the logical byte accounting (bytes = 0 → rate = 0), e.g. UCCL host-staged
-    // dispatch. The rate percentiles floor at 0 while latency stays positive.
-    const zeroByte = makeCollectiveXDataset();
-    const stage = zeroByte.series[0].points[0].components.stage!;
-    stage.byte_provenance = {
-      accounting_contract: 'activation-data-plus-scales-v1',
-      activation_data_bytes: 0,
-      scale_bytes: 0,
-      total_logical_bytes: 0,
-    };
-    stage.activation_data_rate_gbps_at_latency_percentile = { p50: 0, p90: 0, p95: 0, p99: 0 };
-    stage.total_logical_data_rate_gbps_at_latency_percentile = { p50: 0, p90: 0, p95: 0, p99: 0 };
-    expect(() => parseCollectiveXDataset(zeroByte)).not.toThrow();
-
-    const negativeRate = makeCollectiveXDataset();
-    negativeRate.series[0].points[0].components.stage!.total_logical_data_rate_gbps_at_latency_percentile =
-      { p50: -1, p90: 0, p95: 0, p99: 0 };
-    expect(() => parseCollectiveXDataset(negativeRate)).toThrow();
-
-    const zeroLatency = makeCollectiveXDataset();
-    zeroLatency.series[0].points[0].components.stage!.latency_us = {
-      p50: 0,
-      p90: 0,
-      p95: 0,
-      p99: 0,
-    };
-    expect(() => parseCollectiveXDataset(zeroLatency)).toThrow();
-  });
-
-  it('preserves mode, measurement, and topology dimensions from the publisher', () => {
-    const result = parseCollectiveXDataset(makeCollectiveXContractDataset());
-    const normal = result.series.find((item) => item.mode === 'normal')!;
-    const lowLatency = result.series.find((item) => item.mode === 'low-latency')!;
-    const unsupported = result.coverage.find((item) => item.disposition === 'unsupported')!;
-
-    expect(normal.system).toMatchObject({ ep_size: 8, nodes: 1, scope: 'scale-up' });
-    expect(lowLatency.system).toMatchObject({
-      ep_size: 16,
-      nodes: 2,
-      scope: 'scale-out',
-      scale_out_transport: 'rdma',
-    });
-    expect(lowLatency.measurement).toMatchObject({
-      contract: 'expert-packed-weighted-combine-v1',
-      component_order_contract: 'qualification-hash-rotated-components-v1',
-      combine_semantics: 'gate-weighted',
-      payload_unit: 'token-expert',
-      qualification_indices: [1],
-    });
-    expect(unsupported.topology).toMatchObject({
-      ep_size: 16,
-      scope: 'scale-out',
-      scale_up_transport: 'xgmi',
-      scale_out_transport: 'rdma',
-    });
+    expect(dataset.format).toBe('collectivex.view.v1');
+    expect(dataset.schema_version).toBe(1);
+    // Two measured series (nccl-ep EP8 scale-up + deepep EP16 scale-out).
+    expect(dataset.series).toHaveLength(2);
+    // Four requested coverage rows: two measured, one unsupported terminal, one pending.
+    expect(dataset.coverage).toHaveLength(4);
   });
 
-  it('parses inventory coverage with independent precision axes and point status', () => {
-    const result = parseCollectiveXDataset(makeCollectiveXInventoryDataset());
-    const points = result.coverage.flatMap((item) => item.points);
-    const precisionPairs = new Set(
-      result.coverage.map(
-        (item) =>
-          `${item.dispatch_precision.communication_format}/${item.combine_precision.communication_format}`,
-      ),
-    );
-
-    const unsupportedCases = result.coverage.filter((item) => item.disposition === 'unsupported');
-    const measuredCases = result.coverage.filter((item) => item.disposition === 'runnable');
-    expect(result.coverage).toHaveLength(result.promotion.requested_cases);
-    expect(points).toHaveLength(result.promotion.requested_points);
-    expect(result.promotion).toMatchObject({
-      measured_cases: measuredCases.length,
-      unsupported_cases: unsupportedCases.length,
-      measured_points: measuredCases.reduce((total, item) => total + item.points.length, 0),
-      unsupported_points: unsupportedCases.reduce((total, item) => total + item.points.length, 0),
-    });
-    expect(precisionPairs).toEqual(new Set(['bf16/bf16', 'fp8-e4m3fn/bf16']));
-    expect(points.find((point) => point.terminal_status === 'unsupported')).toMatchObject({
-      point_id: null,
-      series_id: null,
-      reason: 'backend-platform-unsupported',
-    });
-    expect(points.find((point) => point.terminal_status === 'measured')).toMatchObject({
-      terminal_status: 'measured',
-      reason: null,
-    });
-    expect(new TextEncoder().encode(JSON.stringify(result)).length).toBeLessThan(32 * 1024 * 1024);
-  });
-
-  it('accepts publisher-declared precision cohorts without inventing recommendations', () => {
-    const result = parseCollectiveXDataset(makeCollectiveXDatasetWithPrecisionCohorts());
-    const precisionKinds = new Set(['dispatch-precision', 'combine-precision', 'precision-pair']);
-    const precisionCohorts = result.cohorts.filter((cohort) => precisionKinds.has(cohort.kind));
-
-    expect(precisionCohorts.map((cohort) => cohort.kind)).toEqual([
-      'dispatch-precision',
-      'combine-precision',
-      'precision-pair',
-    ]);
-    expect(
-      result.rankings.filter((ranking) =>
-        precisionCohorts.some((cohort) => cohort.cohort_id === ranking.cohort_id),
-      ),
-    ).toHaveLength(12);
-    expect(
-      result.sensitivities.filter((sensitivity) =>
-        precisionCohorts.some((cohort) => cohort.cohort_id === sensitivity.cohort_id),
-      ),
-    ).toHaveLength(2);
-    expect(
-      result.recommendations.some((recommendation) =>
-        precisionCohorts.some((cohort) => cohort.cohort_id === recommendation.cohort_id),
-      ),
-    ).toBe(false);
-    const pair = precisionCohorts.find((cohort) => cohort.kind === 'precision-pair')!;
-    expect(result.rankings.some((ranking) => ranking.cohort_id === pair.cohort_id)).toBe(false);
-  });
-
-  it('accepts publisher p99 equivalence ties and rejects descriptive pair rankings', () => {
-    const tied = makeCollectiveXDataset();
-    const p99 = tied.rankings.find(
-      (ranking) => ranking.metric.measure === 'latency_us' && ranking.metric.statistic === 'p99',
-    )!;
-    p99.entries[1].rank = 1;
-    tied.recommendations = tied.recommendations.filter(
-      (recommendation) => recommendation.cohort_id !== p99.cohort_id,
-    );
-    expect(() => parseCollectiveXDataset(tied)).not.toThrow();
-
-    const paired = makeCollectiveXDatasetWithPrecisionCohorts();
-    const pair = paired.cohorts.find((cohort) => cohort.kind === 'precision-pair')!;
-    const dispatch = paired.cohorts.find((cohort) => cohort.kind === 'dispatch-precision')!;
-    const ranking = structuredClone(
-      paired.rankings.find((item) => item.cohort_id === dispatch.cohort_id)!,
-    );
-    ranking.ranking_id = `cxranking-v1-${'f'.repeat(64)}`;
-    ranking.cohort_id = pair.cohort_id;
-    paired.rankings.push(ranking);
-    expect(() => parseCollectiveXDataset(paired)).toThrow('invalid metric metadata');
-  });
-
-  it('rejects unknown, missing, and stale structural fields', () => {
-    const unknown = makeCollectiveXDataset() as unknown as Record<string, unknown>;
-    unknown.browser_decision = true;
-    expect(() => parseCollectiveXDataset(unknown)).toThrow('unknown field browser_decision');
-
-    const missingTier = makeCollectiveXDataset();
-    delete (missingTier.series[0] as Partial<(typeof missingTier.series)[number]>).publication_tier;
-    expect(() => parseCollectiveXDataset(missingTier)).toThrow('publication_tier');
-
-    const staleMetric = makeCollectiveXDataset();
-    const component = staleMetric.series[0].points[0].components.roundtrip! as unknown as Record<
-      string,
-      unknown
-    >;
-    component.logical_gbps = component.total_logical_data_rate_gbps_at_latency_percentile;
-    delete component.total_logical_data_rate_gbps_at_latency_percentile;
-    expect(() => parseCollectiveXDataset(staleMetric)).toThrow(
-      'total_logical_data_rate_gbps_at_latency_percentile',
-    );
-
-    const missingTopologyScope = makeCollectiveXContractDataset();
-    delete (
-      missingTopologyScope.coverage[0].topology as Partial<
-        (typeof missingTopologyScope.coverage)[number]['topology']
-      >
-    ).scope;
-    expect(() => parseCollectiveXDataset(missingTopologyScope)).toThrow('scope');
-
-    const staleMode = makeCollectiveXContractDataset();
-    (staleMode.series.at(-1) as unknown as Record<string, unknown>).mode = 'll';
-    expect(() => parseCollectiveXDataset(staleMode)).toThrow('normal');
-
-    const disabledCalibration = makeCollectiveXDataset();
-    disabledCalibration.series[0].eplb.calibration_token_offset = 0;
-    expect(() => parseCollectiveXDataset(disabledCalibration)).toThrow('EPLB calibration fields');
-  });
-
-  it('matches backend eligibility and evidence uniqueness constraints', () => {
-    const missingReason = makeCollectiveXDataset();
-    missingReason.series[0].eligibility.decision_grade = false;
-    expect(() => parseCollectiveXDataset(missingReason)).toThrow('diagnostic eligibility');
-
-    const repeatedEvidenceId = makeCollectiveXDataset();
-    const attemptWithEvidence = repeatedEvidenceId.attempts.find(
-      (attempt) => attempt.evidence.length > 0,
-    )!;
-    const evidence = attemptWithEvidence.evidence[0];
-    attemptWithEvidence.evidence.push({
-      evidence_id: evidence.evidence_id,
-      point_id: repeatedEvidenceId.series[1].points[0].point_id,
-    });
-    expect(() => parseCollectiveXDataset(repeatedEvidenceId)).toThrow('duplicate evidence ID');
-
-    const duplicateEvidence = makeCollectiveXDataset();
-    const duplicateAttempt = duplicateEvidence.attempts.find(
-      (attempt) => attempt.evidence.length > 0,
-    )!;
-    duplicateAttempt.evidence.push({ ...duplicateAttempt.evidence[0] });
-    expect(() => parseCollectiveXDataset(duplicateEvidence)).toThrow('duplicate evidence items');
+  it('counts terminal dispositions across the run envelope', () => {
+    const { run } = makeCollectiveXDataset();
+    expect(run.requested_cases).toBe(4);
+    expect(run.measured_cases).toBe(2);
+    expect(run.unsupported_cases).toBe(1);
+    expect(run.failed_cases).toBe(0);
+    // terminal = every non-pending case (2 measured + 1 unsupported).
+    expect(run.terminal_cases).toBe(3);
+    expect(run.covered_skus).toEqual(['b300-sxm', 'h200-dgxc', 'mi355x-oam']);
   });
 
-  it('rejects broken coverage and attempt references', () => {
-    const unknownCase = makeCollectiveXDataset();
-    unknownCase.attempts[0].case_id = `cxcase-v1-${'f'.repeat(64)}`;
-    expect(() => parseCollectiveXDataset(unknownCase)).toThrow('references unknown coverage');
-
-    const incompleteCatalog = makeCollectiveXDataset();
-    incompleteCatalog.coverage[0].attempt_ids.pop();
-    expect(() => parseCollectiveXDataset(incompleteCatalog)).toThrow(
-      'inconsistent attempt catalog',
-    );
-
-    const wrongSelection = makeCollectiveXDataset();
-    wrongSelection.coverage[0].selected_attempt_id = wrongSelection.coverage[1].attempt_ids[0];
-    expect(() => parseCollectiveXDataset(wrongSelection)).toThrow('invalid selected attempt');
-
-    const twoSelections = makeCollectiveXDataset();
-    const selected = twoSelections.attempts[0];
-    const duplicateSelection = {
-      ...structuredClone(selected),
-      attempt_id: `cxattempt-v1-${'e'.repeat(64)}`,
-      evidence: [],
-      attempt_index: 2,
-      outcome: 'failed' as const,
-      failure_mode: 'retry-failed',
-      reason: 'retry-failed',
-      series_id: null,
-    };
-    twoSelections.attempts.push(duplicateSelection);
-    twoSelections.coverage
-      .find((item) => item.case_id === selected.case_id)!
-      .attempt_ids.push(duplicateSelection.attempt_id);
-    expect(() => parseCollectiveXDataset(twoSelections)).toThrow('invalid allocation selection');
-
-    const wrongCounters = makeCollectiveXDataset();
-    wrongCounters.promotion.requested_cases = 999;
-    wrongCounters.promotion.terminal_cases = 0;
-    expect(() => parseCollectiveXDataset(wrongCounters)).toThrow(
-      'coverage counters differ from coverage',
-    );
+  it('counts measured, terminal, and requested points', () => {
+    const { run } = makeCollectiveXDataset();
+    // Two measured series × two token rows each.
+    expect(run.measured_points).toBe(4);
+    // measured (4) + unsupported ladder (128, 256).
+    expect(run.terminal_points).toBe(6);
+    // measured (4) + unsupported (2) + pending (2).
+    expect(run.requested_points).toBe(8);
   });
 
-  it('rejects dangling series and cohort references', () => {
-    const unknownSeries = makeCollectiveXDataset();
-    unknownSeries.attempts.find((attempt) => attempt.series_id !== null)!.series_id =
-      `cxseries-v1-${'f'.repeat(64)}`;
-    expect(() => parseCollectiveXDataset(unknownSeries)).toThrow('references unknown series');
-
-    const unknownCohortMember = makeCollectiveXDataset();
-    unknownCohortMember.cohorts[0].series_ids[0] = `cxseries-v1-${'f'.repeat(64)}`;
-    expect(() => parseCollectiveXDataset(unknownCohortMember)).toThrow('references unknown series');
-
-    const duplicateSeries = makeCollectiveXDataset();
-    duplicateSeries.series.push(structuredClone(duplicateSeries.series[0]));
-    expect(() => parseCollectiveXDataset(duplicateSeries)).toThrow('duplicate ID');
+  it('emits one attempt per measured shard and none for an id-less terminal doc', () => {
+    const dataset = makeCollectiveXDataset();
+    expect(dataset.attempts).toHaveLength(2);
+    expect(dataset.attempts.every((attempt) => attempt.outcome === 'success')).toBe(true);
+    // Both success shards share one GHA run+attempt, so one allocation.
+    expect(dataset.run.allocation_count).toBe(1);
   });
+});
 
-  it('rejects contradictory publisher status and eligibility catalogs', () => {
-    const wrongAttemptReason = makeCollectiveXDataset();
-    const unsupported = wrongAttemptReason.attempts.find(
-      (attempt) => attempt.outcome === 'unsupported',
-    )!;
-    unsupported.reason = null;
-    expect(() => parseCollectiveXDataset(wrongAttemptReason)).toThrow('contradictory status');
-
-    const wrongSeriesStatus = makeCollectiveXDataset();
-    wrongSeriesStatus.series[0].status = 'diagnostic';
-    expect(() => parseCollectiveXDataset(wrongSeriesStatus)).toThrow('inconsistent eligibility');
-
-    const wrongCohortAllocations = makeCollectiveXDataset();
-    wrongCohortAllocations.cohorts[0].eligibility.allocation_ids.pop();
-    expect(() => parseCollectiveXDataset(wrongCohortAllocations)).toThrow(
-      'inconsistent eligibility',
-    );
+// ---------------------------------------------------------------------------
+// Neutral field synthesis (series_id, allocation_id, evidence, build, anomalies)
+// ---------------------------------------------------------------------------
+describe('CollectiveX neutral field synthesis', () => {
+  it('derives series id, allocation id, and evidence id when omitted', () => {
+    const dataset = buildDataset({ shards: [makeRawShard({ runId: '208', runAttempt: '2' })] });
+    const series = dataset.series[0];
+    // No series_id emitted → series key falls back to case_id.
+    expect(series.series_id).toBe('h200-dgxc-nccl-ep-deepseek-v3-normal-decode-ep8-uniform');
+    expect(series.allocation_ids).toEqual(['alloc-208-2']);
+    expect(series.points[0].evidence_ids).toEqual([`ev-${series.points[0].point_id}`]);
   });
 
-  it('rejects decision and sensitivity links outside their cohorts', () => {
-    const unknownRankingCohort = makeCollectiveXDataset();
-    unknownRankingCohort.rankings[0].cohort_id = `cxcohort-v1-${'f'.repeat(64)}`;
-    expect(() => parseCollectiveXDataset(unknownRankingCohort)).toThrow(
-      'references unknown cohort',
-    );
-
-    const wrongRankingPoint = makeCollectiveXDataset();
-    const ranking = wrongRankingPoint.rankings[0];
-    ranking.entries[0].point_id = wrongRankingPoint.series.find(
-      (series) => series.series_id !== ranking.entries[0].series_id,
-    )!.points[0].point_id;
-    expect(() => parseCollectiveXDataset(wrongRankingPoint)).toThrow('invalid point');
-
-    const wrongRecommendationSeries = makeCollectiveXDataset();
-    const recommendation = wrongRecommendationSeries.recommendations[0];
-    const cohort = wrongRecommendationSeries.cohorts.find(
-      (item) => item.cohort_id === recommendation.cohort_id,
-    )!;
-    const outsider = wrongRecommendationSeries.series.find(
-      (series) => !cohort.series_ids.includes(series.series_id),
-    )!;
-    recommendation.series_id = outsider.series_id;
-    recommendation.point_id = outsider.points[0].point_id;
-    expect(() => parseCollectiveXDataset(wrongRecommendationSeries)).toThrow(
-      'invalid publication links',
-    );
-
-    const wrongSensitivitySeries = makeCollectiveXDataset();
-    const sensitivity = wrongSensitivitySeries.sensitivities[0];
-    const sensitivityCohort = wrongSensitivitySeries.cohorts.find(
-      (item) => item.cohort_id === sensitivity.cohort_id,
-    )!;
-    sensitivity.candidate_series_id = wrongSensitivitySeries.series.find(
-      (series) => !sensitivityCohort.series_ids.includes(series.series_id),
-    )!.series_id;
-    expect(() => parseCollectiveXDataset(wrongSensitivitySeries)).toThrow(
-      'invalid publication links',
-    );
+  it('folds provenance into the build and defaults combine quant mode to none', () => {
+    const series = makeCollectiveXSeries();
+    expect(series.build.image_digest).toBe(IMAGE_DIGEST);
+    expect(series.build.source_sha).toBe(SOURCE_SHA);
+    expect(series.build.squash_sha256).toBe(SQUASH_SHA256);
+    expect(series.workload.workload_id).toBe('deepseek-v3');
+    expect(series.workload.combine_precision.quant_mode).toBe('none');
   });
 
-  it('rejects contradictory decision graphs without choosing replacements', () => {
-    const duplicateRankingMember = makeCollectiveXDataset();
-    duplicateRankingMember.rankings[0].entries.push(
-      structuredClone(duplicateRankingMember.rankings[0].entries[0]),
-    );
-    expect(() => parseCollectiveXDataset(duplicateRankingMember)).toThrow(
-      'does not reference its cohort',
-    );
-
-    const duplicateMetric = makeCollectiveXDataset();
-    const clonedRanking = structuredClone(duplicateMetric.rankings[0]);
-    clonedRanking.ranking_id = `cxranking-v1-${'e'.repeat(64)}`;
-    clonedRanking.entries = clonedRanking.entries.toReversed();
-    clonedRanking.entries.forEach((entry, index) => {
-      entry.rank = index + 1;
+  it('slugifies string and object anomalies into reason ids', () => {
+    const series = makeCollectiveXSeries({
+      rows: [{ anomalies: [{ type: 'Correctness_Drift' }, 'kernel-timeout'] }],
     });
-    duplicateMetric.rankings.push(clonedRanking);
-    expect(() => parseCollectiveXDataset(duplicateMetric)).toThrow('duplicates a decision metric');
-
-    const nonWinner = makeCollectiveXDataset();
-    const recommendation = nonWinner.recommendations[0];
-    const ranking = nonWinner.rankings.find(
-      (item) =>
-        item.cohort_id === recommendation.cohort_id &&
-        item.metric.statistic === 'p50' &&
-        item.metric.measure === 'latency_us',
-    )!;
-    const runnerUp = ranking.entries[1];
-    recommendation.series_id = runnerUp.series_id;
-    recommendation.point_id = runnerUp.point_id;
-    recommendation.value = runnerUp.value;
-    recommendation.unit = runnerUp.unit;
-    expect(() => parseCollectiveXDataset(nonWinner)).toThrow('invalid publication links');
-
-    const routingRecommendation = makeCollectiveXDataset();
-    const routingCohort = routingRecommendation.cohorts.find((item) => item.kind === 'routing')!;
-    const routingSeries = routingRecommendation.series.find(
-      (item) => item.series_id === routingCohort.series_ids[0],
-    )!;
-    const movedRecommendation = routingRecommendation.recommendations[0];
-    movedRecommendation.cohort_id = routingCohort.cohort_id;
-    movedRecommendation.series_id = routingSeries.series_id;
-    movedRecommendation.point_id = routingSeries.points[0].point_id;
-    expect(() => parseCollectiveXDataset(routingRecommendation)).toThrow(
-      'invalid publication links',
-    );
-
-    const nonRoutingSensitivity = makeCollectiveXDataset();
-    const libraryCohort = nonRoutingSensitivity.cohorts.find((item) => item.kind === 'library')!;
-    const sensitivity = nonRoutingSensitivity.sensitivities[0];
-    sensitivity.cohort_id = libraryCohort.cohort_id;
-    sensitivity.baseline_series_id = libraryCohort.series_ids[0];
-    sensitivity.candidate_series_id = libraryCohort.series_ids[0];
-    expect(() => parseCollectiveXDataset(nonRoutingSensitivity)).toThrow(
-      'invalid publication links',
-    );
+    expect(series.points[0].anomalies).toEqual(['correctness-drift', 'kernel-timeout']);
+  });
 
-    const wrongMetricUnit = makeCollectiveXDataset();
-    wrongMetricUnit.rankings[0].metric.objective = 'max';
-    wrongMetricUnit.rankings[0].entries.forEach((entry) => {
-      entry.unit = 'GB/s';
-    });
-    expect(() => parseCollectiveXDataset(wrongMetricUnit)).toThrow('invalid metric metadata');
-
-    const wrongSensitivityMetric = makeCollectiveXDataset();
-    wrongSensitivityMetric.sensitivities[0].metric = {
-      ...wrongSensitivityMetric.sensitivities[0].metric,
-      objective: 'max',
-    };
-    expect(() => parseCollectiveXDataset(wrongSensitivityMetric)).toThrow(
-      'invalid publication links',
-    );
+  it('passes legacy promotion-era identity fields through unchanged', () => {
+    const series = makeCollectiveXSeries({ legacyIdentity: true });
+    expect(series.series_id).toBe(`cxseries-v1-${'d'.repeat(64)}`);
+    expect(series.allocation_ids).toEqual([`cxalloc-v1-${'e'.repeat(64)}`]);
+  });
+});
 
-    const duplicateRecommendation = makeCollectiveXDataset();
-    const clonedRecommendation = structuredClone(duplicateRecommendation.recommendations[0]);
-    clonedRecommendation.recommendation_id = `cxrecommendation-v1-${'e'.repeat(64)}`;
-    duplicateRecommendation.recommendations.push(clonedRecommendation);
-    expect(() => parseCollectiveXDataset(duplicateRecommendation)).toThrow(
-      'invalid publication links',
-    );
+// ---------------------------------------------------------------------------
+// Component mapping (host-staging zero bytes, unavailable components)
+// ---------------------------------------------------------------------------
+describe('CollectiveX component mapping', () => {
+  it('maps a measured host-staging component with zero logical bytes to a zero rate', () => {
+    const series = makeCollectiveXSeries({ rows: [{ stageZeroBytes: true }] });
+    const stage = series.points[0].components.stage;
+    expect(stage).not.toBeNull();
+    expect(stage?.byte_provenance?.total_logical_bytes).toBe(0);
+    expect(stage?.total_logical_data_rate_gbps_at_latency_percentile?.p50).toBe(0);
+    // Latency stays strictly positive even when the rate collapses to zero.
+    expect(stage?.latency_us.p50).toBeGreaterThan(0);
+  });
 
-    const duplicateSensitivity = makeCollectiveXDataset();
-    const clonedSensitivity = structuredClone(duplicateSensitivity.sensitivities[0]);
-    clonedSensitivity.sensitivity_id = `cxsensitivity-v1-${'e'.repeat(64)}`;
-    duplicateSensitivity.sensitivities.push(clonedSensitivity);
-    expect(() => parseCollectiveXDataset(duplicateSensitivity)).toThrow(
-      'invalid publication links',
-    );
+  it('drops an unavailable component to null', () => {
+    const series = makeCollectiveXSeries({ rows: [{ stageUnavailable: true }] });
+    expect(series.points[0].components.stage).toBeNull();
+    expect(series.points[0].components.dispatch).not.toBeNull();
   });
 
-  it('rejects copied decision values and invalid publication envelopes', () => {
-    const wrongRankingValue = makeCollectiveXDataset();
-    wrongRankingValue.rankings[0].entries[0].value *= 2;
-    expect(() => parseCollectiveXDataset(wrongRankingValue)).toThrow(
-      'differs from measured series data',
-    );
+  it('derives isolated_sum with no byte accounting', () => {
+    const series = makeCollectiveXSeries();
+    const isolated = series.points[0].components.isolated_sum;
+    expect(isolated?.origin).toBe('derived');
+    expect(isolated?.byte_provenance).toBeNull();
+    expect(isolated?.activation_data_rate_gbps_at_latency_percentile).toBeNull();
+  });
+});
 
-    const promotedWithoutEligibleDecisions = makeCollectiveXDataset();
-    for (const cohort of promotedWithoutEligibleDecisions.cohorts) {
-      cohort.eligibility = {
-        ...cohort.eligibility,
-        decision_grade: false,
-        stable_ordering: false,
-        reasons: ['unstable-ordering'],
-      };
-    }
-    promotedWithoutEligibleDecisions.rankings = [];
-    promotedWithoutEligibleDecisions.recommendations = [];
-    promotedWithoutEligibleDecisions.sensitivities = [];
-    expect(() => parseCollectiveXDataset(promotedWithoutEligibleDecisions)).toThrow(
-      'promoted dataset lacks a complete decision graph',
+// ---------------------------------------------------------------------------
+// Terminal / pending coverage
+// ---------------------------------------------------------------------------
+describe('CollectiveX terminal coverage', () => {
+  it('records an unsupported terminal outcome with a reason', () => {
+    const dataset = makeCollectiveXDataset();
+    const unsupported = dataset.coverage.find((row) => row.sku === 'b300-sxm');
+    expect(unsupported?.outcome).toBe('unsupported');
+    expect(unsupported?.reason).toBe('capability-gate');
+    expect(unsupported?.points.every((point) => point.terminal_status === 'unsupported')).toBe(
+      true,
     );
+  });
 
-    const quarantinedWithEvidence = makeCollectiveXDataset();
-    quarantinedWithEvidence.promotion.status = 'quarantined';
-    expect(() => parseCollectiveXDataset(quarantinedWithEvidence)).toThrow(
-      'quarantined dataset exposes publication evidence',
-    );
+  it('records a pending case for a requested case with no shard or terminal doc', () => {
+    const dataset = makeCollectiveXDataset();
+    const pending = dataset.coverage.find((row) => row.sku === 'mi355x-oam');
+    expect(pending?.outcome).toBe('pending');
+    expect(pending?.selected_attempt_id).toBeNull();
+    expect(pending?.attempt_ids).toEqual([]);
   });
 
-  it('accepts a promoted dataset that has rankings but no recommendations', () => {
-    // Recommendations are unique-p99-latency-winner callouts. When every actionable
-    // (official) cohort's candidates fall within the bootstrap equivalence band, the
-    // p99 winners tie and no recommendation is emitted — a routine, honest outcome for
-    // single-allocation publications. Such a dataset still carries a complete decision
-    // graph (rankings + sensitivities) and must be accepted, not rejected.
-    const promotedWithoutRecommendations = makeCollectiveXDataset();
-    const decisionCohort = promotedWithoutRecommendations.cohorts.find(
-      (cohort) => cohort.publication_tier === 'comparable-experimental',
-    );
-    expect(decisionCohort).toBeDefined();
-    const keepId = decisionCohort!.cohort_id;
-    // Retire every official cohort so the only decision-grade cohort is non-official:
-    // it produces rankings but no actionable (recommendation-bearing) metric.
-    for (const cohort of promotedWithoutRecommendations.cohorts) {
-      if (cohort.cohort_id === keepId) continue;
-      cohort.eligibility = {
-        ...cohort.eligibility,
-        decision_grade: false,
-        stable_ordering: false,
-        reasons: ['unstable-ordering'],
-      };
-    }
-    promotedWithoutRecommendations.rankings = promotedWithoutRecommendations.rankings.filter(
-      (ranking) => ranking.cohort_id === keepId,
-    );
-    promotedWithoutRecommendations.recommendations = [];
-    promotedWithoutRecommendations.sensitivities =
-      promotedWithoutRecommendations.sensitivities.filter(
-        (sensitivity) => sensitivity.cohort_id === keepId,
-      );
-    expect(promotedWithoutRecommendations.rankings.length).toBeGreaterThan(0);
-    expect(promotedWithoutRecommendations.promotion.status).toBe('promoted');
-    const parsed = parseCollectiveXDataset(promotedWithoutRecommendations);
-    expect(parsed.recommendations).toHaveLength(0);
-    expect(parsed.rankings.length).toBeGreaterThan(0);
-  });
-
-  it('rejects misordered or incomplete publisher decisions', () => {
-    const misordered = makeCollectiveXDataset();
-    const entries = misordered.rankings[0].entries;
-    [entries[0], entries[1]] = [entries[1], entries[0]];
-    entries.forEach((entry, index) => {
-      entry.rank = index + 1;
+  it('emits a terminal attempt when the doc carries full-format ids', () => {
+    const caseId = 'h100-dgxc-nccl-ep-deepseek-v3-normal-decode-ep8-uniform';
+    const terminal = makeRawTerminal({
+      caseId,
+      sku: 'h100-dgxc',
+      status: 'failed',
+      withAttempt: true,
     });
-    expect(() => parseCollectiveXDataset(misordered)).toThrow('invalid ordering');
-
-    const missingRanking = makeCollectiveXDataset();
-    missingRanking.rankings.pop();
-    expect(() => parseCollectiveXDataset(missingRanking)).toThrow(
-      'rankings do not cover every eligible cohort metric',
-    );
-
-    const wrongObjective = makeCollectiveXDataset();
-    wrongObjective.recommendations[0].objective = 'min-p50-latency';
-    expect(() => parseCollectiveXDataset(wrongObjective)).toThrow('invalid publication links');
-
-    const missingRecommendation = makeCollectiveXDataset();
-    missingRecommendation.recommendations.pop();
-    expect(() => parseCollectiveXDataset(missingRecommendation)).toThrow(
-      'recommendations do not cover every actionable ranking',
-    );
+    const dataset = buildDataset({
+      shards: [],
+      terminals: [terminal],
+      requestedCases: [
+        {
+          caseId,
+          sku: 'h100-dgxc',
+          disposition: 'runnable',
+          case: (
+            makeRawShard({ caseId, sku: 'h100-dgxc' }).identity as {
+              case_factors: { case: Record<string, unknown> };
+            }
+          ).case_factors.case,
+        },
+      ],
+    });
+    expect(dataset.attempts).toHaveLength(1);
+    expect(dataset.attempts[0].outcome).toBe('failed');
+    expect(dataset.coverage[0].outcome).toBe('failed');
   });
+});
 
-  it('accepts only digest-addressed public channel paths', () => {
-    const digest = 'a'.repeat(64);
-    expect(
-      parseCollectiveXChannel({
-        format: 'collectivex.channel.v1',
-        channel: 'dev-latest',
-        generated_at: '2026-07-04T00:00:00Z',
-        dataset: {
-          path: `datasets/${digest}/dataset.json`,
-          sha256: digest,
-          bytes: 10,
-        },
-      }).dataset.sha256,
-    ).toBe(digest);
-
-    expect(() =>
-      parseCollectiveXChannel({
-        format: 'collectivex.channel.v1',
-        channel: 'dev-latest',
-        generated_at: '2026-07-04T00:00:00Z',
-        dataset: { path: '../private/dataset.json', sha256: digest, bytes: 10 },
-      }),
-    ).toThrow('dataset.path');
-
-    expect(() =>
-      parseCollectiveXChannel({
-        format: 'collectivex.channel.v1',
-        channel: 'dev-latest',
-        generated_at: '2026-07-04T00:00:00Z',
-        dataset: {
-          path: `datasets/${'b'.repeat(64)}/dataset.json`,
-          sha256: digest,
-          bytes: 10,
-        },
-      }),
-    ).toThrow('digest-addressed');
-
-    expect(() =>
-      parseCollectiveXChannel({
-        format: 'collectivex.channel.v1',
-        channel: 'dev-latest',
-        generated_at: '2026-07-04T00:00:00Z',
-        dataset: {
-          path: `datasets/${digest}/dataset.json`,
-          sha256: digest,
-          bytes: 32 * 1024 * 1024 + 1,
-        },
-      }),
-    ).toThrow('33554432');
+// ---------------------------------------------------------------------------
+// Run summary
+// ---------------------------------------------------------------------------
+describe('CollectiveX run summary', () => {
+  it('projects the case-level terminal counts', () => {
+    const summary = buildRunSummary(makeCollectiveXDataset());
+    expect(summary.run_id).toBe('160');
+    expect(summary.terminal_counts).toEqual({ measured: 2, unsupported: 1, failed: 0 });
+    expect(summary.covered_skus).toEqual(['b300-sxm', 'h200-dgxc', 'mi355x-oam']);
   });
+});
 
-  it('verifies exact bytes and SHA-256 before parsing', async () => {
-    const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDataset()));
-    const digest = await sha256Hex(bytes);
-    mockPublication(bytes, digest);
+// ---------------------------------------------------------------------------
+// Raw ingest rejections
+// ---------------------------------------------------------------------------
+describe('CollectiveX raw ingest rejections', () => {
+  it('rejects a matrix doc with the wrong format', () => {
+    expect(() => buildDatasetFromNeutral({ format: 'nope' }, [], makeRunMeta())).toThrow(/matrix/);
+  });
 
-    const result = await fetchCollectiveXPublication();
+  it('rejects a shard doc missing a required section', () => {
+    const shard = makeRawShard();
+    delete (shard as Record<string, unknown>).topology;
+    const matrix = makeRawMatrix([]);
+    expect(() => buildDatasetFromNeutral(matrix, [shard], makeRunMeta())).toThrow(/shard/);
+  });
 
-    expect(result.digest).toBe(digest);
-    expect(mockFetch).toHaveBeenNthCalledWith(
-      1,
-      collectiveXChannelUrl('dev-latest'),
-      expect.objectContaining({ cache: 'no-store', credentials: 'same-origin' }),
-    );
-    expect(mockFetch).toHaveBeenNthCalledWith(
-      2,
-      `/collectivex-data/1/datasets/${digest}/dataset.json`,
-      expect.objectContaining({ cache: 'force-cache', credentials: 'same-origin' }),
+  it('ignores raw docs whose format is neither ep nor terminal', () => {
+    const dataset = buildDatasetFromNeutral(
+      makeRawMatrix([]),
+      [{ format: 'collectivex.samples.v1' }],
+      makeRunMeta(),
     );
+    expect(dataset.series).toHaveLength(0);
+    expect(dataset.coverage).toHaveLength(0);
   });
+});
 
-  it('distinguishes deployment and channel availability from rejected publication bytes', async () => {
-    mockFetch.mockResolvedValueOnce({ ok: false, status: 503, headers: new Headers() });
-    await expect(fetchCollectiveXPublication()).rejects.toMatchObject({
-      name: 'CollectiveXDataError',
-      availabilityReason: 'source-unavailable',
-    });
-
-    mockFetch.mockReset();
-    mockFetch.mockResolvedValueOnce({
-      ok: false,
-      status: 503,
-      headers: new Headers({ 'X-CollectiveX-Status': 'source-unavailable' }),
-    });
-    await expect(fetchCollectiveXPublication()).rejects.toMatchObject({
-      name: 'CollectiveXDataError',
-      availabilityReason: 'source-unavailable',
-    });
+// ---------------------------------------------------------------------------
+// View dataset parsing
+// ---------------------------------------------------------------------------
+describe('CollectiveX view dataset parsing', () => {
+  it('accepts a well-formed view dataset', () => {
+    const dataset = makeCollectiveXDataset();
+    expect(parseCollectiveXDataset(dataset).run.run_id).toBe('160');
+  });
 
-    mockFetch.mockReset();
-    mockFetch.mockResolvedValueOnce({
-      ok: false,
-      status: 404,
-      headers: new Headers({ 'X-CollectiveX-Status': 'channel-unavailable' }),
-    });
-    await expect(fetchCollectiveXPublication()).rejects.toMatchObject({
-      name: 'CollectiveXDataError',
-      availabilityReason: 'channel-unavailable',
-    });
+  it('rejects an unknown top-level field', () => {
+    const dataset = { ...makeCollectiveXDataset(), surprise: true };
+    expect(() => parseCollectiveXDataset(dataset)).toThrow(/contains unknown field surprise/);
+  });
 
-    mockFetch.mockReset();
-    mockFetch.mockResolvedValueOnce({ ok: false, status: 404, headers: new Headers() });
-    await expect(fetchCollectiveXPublication()).rejects.toThrow(
-      'CollectiveX publication rejected: channel request failed (404).',
+  it('rejects duplicate JSON keys before schema validation', () => {
+    expect(() => parseCollectiveXDatasetText('{"format":"a","format":"b"}')).toThrow(
+      /contains duplicate key format/,
     );
   });
 
-  it('fails closed on byte, digest, and channel-name mismatch', async () => {
-    const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDataset()));
-    const digest = await sha256Hex(bytes);
-    mockPublication(bytes, digest, { byteLength: bytes.length + 1 });
-    await expect(fetchCollectiveXPublication()).rejects.toThrow('byte count');
-
-    mockFetch.mockReset();
-    mockPublication(bytes, 'f'.repeat(64));
-    await expect(fetchCollectiveXPublication()).rejects.toThrow('SHA-256');
+  it('rejects text that is not valid JSON', () => {
+    expect(() => parseCollectiveXDatasetText('{ not json')).toThrow(/not valid JSON/);
+  });
+});
 
-    mockFetch.mockReset();
-    mockPublication(bytes, digest, { pointerChannel: 'latest-attempt' });
-    await expect(fetchCollectiveXPublication('dev-latest')).rejects.toThrow('dev-latest');
+// ---------------------------------------------------------------------------
+// Runs listing parsing
+// ---------------------------------------------------------------------------
+function runsListing(version = 1) {
+  return {
+    format: 'collectivex.runs.v1' as const,
+    version,
+    runs: [buildRunSummary(makeCollectiveXDataset())],
+  };
+}
 
-    mockFetch.mockReset();
-    mockPublication(bytes, digest, { pointerTimestamp: '2099-01-01T00:00:00Z' });
-    await expect(fetchCollectiveXPublication()).rejects.toThrow('timestamp does not match');
+describe('CollectiveX runs listing parsing', () => {
+  it('accepts a well-formed runs listing for the requested version', () => {
+    const runs = parseCollectiveXRuns(runsListing(1), 1);
+    expect(runs.runs).toHaveLength(1);
+    expect(runs.runs[0].run_id).toBe('160');
   });
 
-  it('requires the only public channel to reference a promoted dataset', async () => {
-    const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDiagnosticDataset()));
-    const digest = await sha256Hex(bytes);
-    mockPublication(bytes, digest);
-    await expect(fetchCollectiveXPublication('dev-latest')).rejects.toThrow(
-      'does not reference a promoted dataset',
+  it('rejects a version mismatch', () => {
+    expect(() => parseCollectiveXRuns(runsListing(2), 1)).toThrow(
+      /does not match the requested version/,
     );
   });
 
-  it('rejects duplicate JSON keys before schema validation', async () => {
-    mockFetch.mockResolvedValueOnce({
-      ok: true,
-      text: () =>
-        Promise.resolve(
-          `{"format":"collectivex.channel.v1","format":"collectivex.channel.v1",` +
-            `"channel":"dev-latest","generated_at":"2026-07-04T01:00:00Z",` +
-            `"dataset":{"path":"datasets/${'a'.repeat(64)}/dataset.json",` +
-            `"sha256":"${'a'.repeat(64)}","bytes":1}}`,
-        ),
-    });
-    await expect(fetchCollectiveXPublication()).rejects.toThrow('duplicate key format');
-
-    mockFetch.mockReset();
-    const text = JSON.stringify(makeCollectiveXDataset()).replace(
-      '"schema_version":1',
-      '"schema_version":1,"schema_version":1',
-    );
-    const bytes = new TextEncoder().encode(text);
-    const digest = await sha256Hex(bytes);
-    mockPublication(bytes, digest);
-    await expect(fetchCollectiveXPublication()).rejects.toThrow('duplicate key schema_version');
+  it('rejects a duplicate run id', () => {
+    const listing = runsListing(1);
+    listing.runs = [listing.runs[0], listing.runs[0]];
+    expect(() => parseCollectiveXRuns(listing, 1)).toThrow(/contains duplicate run 160/);
   });
 });
 
-const runSummary = (overrides: Record<string, unknown> = {}) => ({
-  run_id: '28874233148',
-  run_attempt: 1,
-  head_sha: 'a'.repeat(40),
-  digest: 'b'.repeat(64),
-  generated_at: '2026-07-07T01:00:00Z',
-  coverage_scope: 'full',
-  covered_skus: ['gb200', 'h100'],
-  bytes: 4096,
-  ...overrides,
-});
-const runsDoc = (runs: unknown[], version = 1) => ({
-  format: 'collectivex.runs.v1',
-  version,
-  runs,
-});
+// ---------------------------------------------------------------------------
+// Client fetch helpers
+// ---------------------------------------------------------------------------
+describe('CollectiveX fetch helpers', () => {
+  const fetchMock = vi.fn();
 
-describe('CollectiveX run picker (JIT publications)', () => {
-  it('parses a well-formed runs listing', () => {
-    const parsed = parseCollectiveXRuns(runsDoc([runSummary()]), 1);
-    expect(parsed.runs).toHaveLength(1);
-    expect(parsed.runs[0].run_id).toBe('28874233148');
+  beforeEach(() => {
+    vi.stubGlobal('fetch', fetchMock);
+    fetchMock.mockReset();
+  });
+  afterEach(() => {
+    vi.unstubAllGlobals();
   });
 
-  it('rejects a version mismatch, duplicate runs, and empty partial coverage', () => {
-    expect(() => parseCollectiveXRuns(runsDoc([runSummary()], 2), 1)).toThrow(
-      'does not match the requested version',
-    );
-    expect(() => parseCollectiveXRuns(runsDoc([runSummary(), runSummary()]), 1)).toThrow(
-      'duplicate run',
-    );
-    expect(() =>
-      parseCollectiveXRuns(
-        runsDoc([runSummary({ coverage_scope: 'partial', covered_skus: [] })]),
-        1,
-      ),
-    ).toThrow('partial coverage with no SKUs');
-  });
-
-  it('fetches the eligible-run listing with a no-store cache', async () => {
-    mockFetch.mockResolvedValueOnce({
-      ok: true,
-      text: () =>
-        Promise.resolve(
-          JSON.stringify(
-            runsDoc([
-              runSummary(),
-              runSummary({
-                run_id: '28800000001',
-                digest: 'c'.repeat(64),
-                coverage_scope: 'partial',
-                covered_skus: ['gb200', 'gb300', 'h100', 'h200', 'mi300x', 'mi355x'],
-              }),
-            ]),
-          ),
-        ),
-    });
-    const runs = await fetchCollectiveXRuns(1);
-    expect(runs.map((run) => run.run_id)).toEqual(['28874233148', '28800000001']);
-    expect(runs[1].coverage_scope).toBe('partial');
-    expect(mockFetch).toHaveBeenNthCalledWith(
-      1,
-      collectiveXRunsUrl(1),
-      expect.objectContaining({ cache: 'no-store', credentials: 'same-origin' }),
+  it('fetches the latest view dataset with no-store caching', async () => {
+    fetchMock.mockResolvedValue(fakeResponse(JSON.stringify(makeCollectiveXDataset())));
+    const resolved = await fetchCollectiveXLatest();
+    expect(resolved.run_id).toBe('160');
+    expect(fetchMock).toHaveBeenCalledWith(
+      collectiveXLatestUrl(1),
+      expect.objectContaining({ cache: 'no-store' }),
     );
   });
 
-  it('maps run-listing availability failures like the channel', async () => {
-    mockFetch.mockResolvedValueOnce({ ok: false, status: 503, headers: new Headers() });
-    await expect(fetchCollectiveXRuns(1)).rejects.toMatchObject({
-      availabilityReason: 'source-unavailable',
-    });
-
-    mockFetch.mockReset();
-    mockFetch.mockResolvedValueOnce({
-      ok: false,
-      status: 404,
-      headers: new Headers({ 'X-CollectiveX-Status': 'channel-unavailable' }),
-    });
-    await expect(fetchCollectiveXRuns(1)).rejects.toMatchObject({
-      availabilityReason: 'channel-unavailable',
-    });
+  it('fetches a run-scoped dataset with force-cache caching', async () => {
+    fetchMock.mockResolvedValue(fakeResponse(JSON.stringify(makeCollectiveXDataset())));
+    await fetchCollectiveXByRunId(1, '160');
+    expect(fetchMock).toHaveBeenCalledWith(
+      collectiveXRunUrl(1, '160'),
+      expect.objectContaining({ cache: 'force-cache' }),
+    );
   });
 
-  it('resolves a pinned run by digest and verifies its content hash', async () => {
-    const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDataset()));
-    const digest = await sha256Hex(bytes);
-    mockFetch.mockResolvedValueOnce({
-      ok: true,
-      arrayBuffer: () => Promise.resolve(bytes.buffer),
-    });
-    const result = await fetchCollectiveXByDigest(1, digest);
-    expect(result.digest).toBe(digest);
-    expect(result.channel.channel).toBe('dev-latest');
-    expect(result.channel.dataset.sha256).toBe(digest);
-    expect(mockFetch).toHaveBeenNthCalledWith(
-      1,
-      collectiveXDatasetUrl(1, digest),
-      expect.objectContaining({ cache: 'force-cache', credentials: 'same-origin' }),
-    );
+  it('rejects a non-integer run id before fetching', async () => {
+    await expect(fetchCollectiveXByRunId(1, 'latest')).rejects.toThrow(/positive integer/);
+    expect(fetchMock).not.toHaveBeenCalled();
   });
 
-  it('rejects a malformed digest before fetching', async () => {
-    await expect(fetchCollectiveXByDigest(1, 'not-a-digest')).rejects.toThrow(
-      '64-character SHA-256',
-    );
-    expect(mockFetch).not.toHaveBeenCalled();
+  it('maps a 503 to a source-unavailable reason', async () => {
+    fetchMock.mockResolvedValue(fakeResponse('', 503));
+    const captured = await fetchCollectiveXLatest().catch((error: unknown) => error);
+    expect(collectiveXAvailabilityReason(captured)).toBe('source-unavailable');
   });
 
-  it('fails closed when the fetched bytes do not hash to the requested digest', async () => {
-    const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDataset()));
-    mockFetch.mockResolvedValueOnce({
-      ok: true,
-      arrayBuffer: () => Promise.resolve(bytes.buffer),
-    });
-    await expect(fetchCollectiveXByDigest(1, 'c'.repeat(64))).rejects.toThrow(
-      'does not match the requested digest',
-    );
+  it('maps a 404 to a runs-unavailable reason', async () => {
+    fetchMock.mockResolvedValue(fakeResponse('', 404));
+    const captured = await fetchCollectiveXRuns().catch((error: unknown) => error);
+    expect(collectiveXAvailabilityReason(captured)).toBe('runs-unavailable');
   });
 
-  it('refuses to pin a run whose dataset is not promoted', async () => {
-    const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDiagnosticDataset()));
-    const digest = await sha256Hex(bytes);
-    mockFetch.mockResolvedValueOnce({
-      ok: true,
-      arrayBuffer: () => Promise.resolve(bytes.buffer),
-    });
-    await expect(fetchCollectiveXByDigest(1, digest)).rejects.toThrow(
-      'does not reference a promoted dataset',
+  it('fetches and parses the runs listing', async () => {
+    fetchMock.mockResolvedValue(fakeResponse(JSON.stringify(runsListing(1))));
+    const runs = await fetchCollectiveXRuns();
+    expect(runs).toHaveLength(1);
+    expect(fetchMock).toHaveBeenCalledWith(
+      collectiveXRunsUrl(1),
+      expect.objectContaining({ cache: 'no-store' }),
     );
   });
 });
-
-function mockPublication(
-  bytes: Uint8Array<ArrayBuffer>,
-  digest: string,
-  options: {
-    byteLength?: number;
-    pointerChannel?: 'dev-latest' | 'latest-attempt';
-    pointerTimestamp?: string;
-  } = {},
-) {
-  const channel = options.pointerChannel ?? 'dev-latest';
-  mockFetch
-    .mockResolvedValueOnce({
-      ok: true,
-      text: () =>
-        Promise.resolve(
-          JSON.stringify({
-            format: 'collectivex.channel.v1',
-            channel,
-            generated_at: options.pointerTimestamp ?? '2026-07-04T01:00:00Z',
-            dataset: {
-              path: `datasets/${digest}/dataset.json`,
-              sha256: digest,
-              bytes: options.byteLength ?? bytes.length,
-            },
-          }),
-        ),
-    })
-    .mockResolvedValueOnce({ ok: true, arrayBuffer: () => Promise.resolve(bytes.buffer) });
-}
diff --git a/packages/app/src/components/collectivex/reader.ts b/packages/app/src/components/collectivex/reader.ts
index 484aaf290..3e54f433e 100644
--- a/packages/app/src/components/collectivex/reader.ts
+++ b/packages/app/src/components/collectivex/reader.ts
@@ -1,45 +1,51 @@
-import type { ZodError } from 'zod';
-import { sha256 } from '@noble/hashes/sha2.js';
-import { bytesToHex } from '@noble/hashes/utils.js';
+import type { ZodError, ZodType } from 'zod';
 
 import {
-  collectiveXChannelSchema,
   collectiveXDatasetSchema,
+  collectiveXRawCaseAttemptSchema,
+  collectiveXRawMatrixSchema,
+  collectiveXRawTerminalSchema,
   collectiveXRunsSchema,
-  type CollectiveXChannel,
+  COLLECTIVEX_DEFAULT_VERSION,
+  type CollectiveXAttempt,
+  type CollectiveXComponent,
+  type CollectiveXCoverage,
+  type CollectiveXCoveragePoint,
   type CollectiveXDataset,
-  type CollectiveXMetric,
+  type CollectiveXOutcome,
   type CollectiveXPoint,
+  type CollectiveXPrecisionAxis,
+  type CollectiveXRawCase,
+  type CollectiveXRawCaseAttempt,
+  type CollectiveXRawProfile,
+  type CollectiveXRawRow,
+  type CollectiveXRawTerminal,
   type CollectiveXResolvedDataset,
   type CollectiveXRuns,
   type CollectiveXRunSummary,
   type CollectiveXSeries,
+  type CollectiveXTerminalStatus,
   type CollectiveXVersion,
-  COLLECTIVEX_DEFAULT_VERSION,
 } from './types';
 
-export type CollectiveXChannelName = CollectiveXChannel['channel'];
-
 const collectiveXPublicRoot = (version: CollectiveXVersion) => `/collectivex-data/${version}/`;
 
-export const collectiveXChannelUrl = (
-  channel: CollectiveXChannelName,
-  version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
-) => `${collectiveXPublicRoot(version)}channels/${channel}.json`;
-
 export const collectiveXRunsUrl = (version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION) =>
   `${collectiveXPublicRoot(version)}runs.json`;
 
-export const collectiveXDatasetUrl = (version: CollectiveXVersion, digest: string) =>
-  `${collectiveXPublicRoot(version)}datasets/${digest}/dataset.json`;
+export const collectiveXLatestUrl = (version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION) =>
+  `${collectiveXPublicRoot(version)}latest.json`;
+
+export const collectiveXRunUrl = (version: CollectiveXVersion, runId: string) =>
+  `${collectiveXPublicRoot(version)}runs/${runId}.json`;
 
-export type CollectiveXAvailabilityReason = 'source-unavailable' | 'channel-unavailable';
+export type CollectiveXAvailabilityReason = 'source-unavailable' | 'runs-unavailable';
 
 class CollectiveXDataError extends Error {
   readonly availabilityReason: CollectiveXAvailabilityReason | null;
 
   constructor(message: string, availabilityReason: CollectiveXAvailabilityReason | null = null) {
-    super(availabilityReason ? message : `CollectiveX publication rejected: ${message}`);
+    super(availabilityReason ? message : `CollectiveX dataset rejected: ${message}`);
     this.name = 'CollectiveXDataError';
     this.availabilityReason = availabilityReason;
   }
@@ -51,15 +57,23 @@ export function collectiveXAvailabilityReason(
   return error instanceof CollectiveXDataError ? error.availabilityReason : null;
 }
 
-function schemaError(error: ZodError): CollectiveXDataError {
+function schemaError(error: ZodError, prefix = '$'): CollectiveXDataError {
   const issue = error.issues[0];
-  const path = issue?.path.length ? `$.${issue.path.join('.')}` : '$';
+  const path = issue?.path.length ? `${prefix}.${issue.path.join('.')}` : prefix;
   if (issue?.code === 'unrecognized_keys') {
     return new CollectiveXDataError(`${path} contains unknown field ${issue.keys[0]}.`);
   }
   return new CollectiveXDataError(`${path} ${issue?.message ?? 'is malformed'}.`);
 }
 
+function parseWith<T>(schema: ZodType<T>, value: unknown, prefix: string): T {
+  const parsed = schema.safeParse(value);
+  if (!parsed.success) throw schemaError(parsed.error, prefix);
+  return parsed.data;
+}
+
+// Duplicate-key-rejecting JSON parse: the neutral artifacts and the served view
+// datasets must be canonical single-object JSON, so a repeated key is corruption.
 function strictJson(text: string, name: string): unknown {
   let value: unknown;
   try {
@@ -124,717 +138,645 @@ function strictJson(text: string, name: string): unknown {
   return value;
 }
 
-export function parseCollectiveXDatasetText(text: string): CollectiveXDataset {
-  return parseCollectiveXDataset(strictJson(text, 'dataset'));
+// ---------------------------------------------------------------------------
+// View dataset parsing (the run-scoped JSON the route serves + the client reads)
+// ---------------------------------------------------------------------------
+export function parseCollectiveXDataset(value: unknown): CollectiveXDataset {
+  return parseWith(collectiveXDatasetSchema, value, '$');
 }
 
-export function parseCollectiveXChannel(value: unknown): CollectiveXChannel {
-  const parsed = collectiveXChannelSchema.safeParse(value);
-  if (!parsed.success) throw schemaError(parsed.error);
-  const { dataset } = parsed.data;
-  if (dataset.path !== `datasets/${dataset.sha256}/dataset.json`) {
-    throw new CollectiveXDataError('$.dataset.path must be the digest-addressed dataset path.');
-  }
-  return parsed.data;
+export function parseCollectiveXDatasetText(text: string): CollectiveXDataset {
+  return parseCollectiveXDataset(strictJson(text, 'dataset'));
 }
 
 export function parseCollectiveXRuns(value: unknown, version: CollectiveXVersion): CollectiveXRuns {
-  const parsed = collectiveXRunsSchema.safeParse(value);
-  if (!parsed.success) throw schemaError(parsed.error);
-  if (parsed.data.version !== version) {
+  const parsed = parseWith(collectiveXRunsSchema, value, '$');
+  if (parsed.version !== version) {
     throw new CollectiveXDataError('$.version does not match the requested version.');
   }
   const runIds = new Set<string>();
-  for (const run of parsed.data.runs) {
+  for (const run of parsed.runs) {
     if (runIds.has(run.run_id)) {
       throw new CollectiveXDataError(`$.runs contains duplicate run ${run.run_id}.`);
     }
     runIds.add(run.run_id);
-    if (run.coverage_scope === 'partial' && run.covered_skus.length === 0) {
-      throw new CollectiveXDataError(`run ${run.run_id} claims partial coverage with no SKUs.`);
-    }
   }
-  return parsed.data;
+  return parsed;
 }
 
-function uniqueIndex<T>(items: T[], id: (item: T) => string, path: string): Map<string, T> {
-  const indexed = new Map<string, T>();
-  for (const item of items) {
-    const value = id(item);
-    if (indexed.has(value))
-      throw new CollectiveXDataError(`${path} contains duplicate ID ${value}.`);
-    indexed.set(value, item);
+// ---------------------------------------------------------------------------
+// Neutral → view builder
+//
+// Runs server-side (route.ts) over the raw docs collectivex-github.ts downloaded:
+// one collectivex.matrix.v1 doc, plus every collectivex.ep.v1 (case-attempt) and
+// collectivex.terminal.v1 (terminal-outcome) doc from the run's shard/unsupported
+// artifacts. Assembles the neutral view dataset, deriving the data-rate fields the
+// retired publisher used to store. The assembled dataset is validated against the
+// view schema before it is returned, so the served JSON is always schema-valid.
+// ---------------------------------------------------------------------------
+export interface CollectiveXNeutralRunMeta {
+  run_id: string;
+  run_attempt: number;
+  generated_at: string;
+  conclusion: string | null;
+  matrix_id: string | null;
+  source_bundle_ids: string[];
+}
+
+const ACTIVATION_ACCOUNTING = 'activation-data-plus-scales-v1' as const;
+
+function toOutcome(status: string): CollectiveXOutcome {
+  switch (status) {
+    case 'success':
+    case 'unsupported':
+    case 'failed':
+    case 'invalid':
+    case 'diagnostic':
+    case 'pending': {
+      return status;
+    }
+    default: {
+      return 'failed';
+    }
   }
-  return indexed;
 }
 
-function sameIds(actual: string[], expected: Iterable<string>): boolean {
-  const actualSet = new Set(actual);
-  const expectedSet = new Set(expected);
-  return (
-    actual.length === actualSet.size &&
-    actualSet.size === expectedSet.size &&
-    [...actualSet].every((id) => expectedSet.has(id))
-  );
+function toTerminalStatus(outcome: CollectiveXOutcome): CollectiveXTerminalStatus {
+  return outcome === 'success' ? 'measured' : outcome;
 }
 
-function sameValue(left: unknown, right: unknown): boolean {
-  return JSON.stringify(left) === JSON.stringify(right);
-}
-
-const RECOMMENDATION_METRICS = {
-  'min-p50-latency': ['latency_us', 'p50'],
-  'min-p99-latency': ['latency_us', 'p99'],
-  'max-activation-data-rate-at-p50-latency': [
-    'activation_data_rate_gbps_at_latency_percentile',
-    'p50',
-  ],
-  'max-activation-data-rate-at-p99-latency': [
-    'activation_data_rate_gbps_at_latency_percentile',
-    'p99',
-  ],
-  'max-total-logical-data-rate-at-p50-latency': [
-    'total_logical_data_rate_gbps_at_latency_percentile',
-    'p50',
-  ],
-  'max-total-logical-data-rate-at-p99-latency': [
-    'total_logical_data_rate_gbps_at_latency_percentile',
-    'p99',
-  ],
-} as const;
-
-function closeEnough(left: number, right: number): boolean {
-  return (
-    left === right || Math.abs(left - right) <= 1e-12 * Math.max(Math.abs(left), Math.abs(right))
-  );
+function ratesFrom(
+  bytes: number,
+  latency: CollectiveXComponent['latency_us'],
+): CollectiveXComponent['activation_data_rate_gbps_at_latency_percentile'] {
+  // GB/s at percentile p = bytes / latency_us[p]. bytes/µs = 1e6 B/s = 1e-3 GB/s.
+  const rate = (us: number) => (bytes / us) * 1e-3;
+  return {
+    p50: rate(latency.p50),
+    p90: rate(latency.p90),
+    p95: rate(latency.p95),
+    p99: rate(latency.p99),
+  };
 }
 
-function rankingMetricKey(cohortId: string, metric: CollectiveXMetric): string {
-  return [
-    cohortId,
-    metric.operation,
-    metric.phase,
-    metric.tokens_per_rank,
-    metric.measure,
-    metric.statistic,
-    metric.objective,
-  ].join('\0');
-}
-
-function metricValue(
-  owner: CollectiveXSeries,
-  metric: CollectiveXMetric,
-): { point: CollectiveXPoint; value: number; unit: 'us' | 'GB/s' } | null {
-  if (owner.phase !== metric.phase) return null;
-  const point = owner.points.find((item) => item.tokens_per_rank === metric.tokens_per_rank);
-  const component = point?.components.roundtrip;
-  if (!point || !component) return null;
-  if (metric.measure === 'latency_us') {
-    return { point, value: component.latency_us[metric.statistic], unit: 'us' };
-  }
-  const value = component[metric.measure]?.[metric.statistic];
-  return value === null || value === undefined ? null : { point, value, unit: 'GB/s' };
-}
-
-function validateDatasetReferences(dataset: CollectiveXDataset): void {
-  const coverage = uniqueIndex(dataset.coverage, (item) => item.case_id, '$.coverage');
-  const attempts = uniqueIndex(dataset.attempts, (item) => item.attempt_id, '$.attempts');
-  const series = uniqueIndex(dataset.series, (item) => item.series_id, '$.series');
-  const cohorts = uniqueIndex(dataset.cohorts, (item) => item.cohort_id, '$.cohorts');
-  uniqueIndex(dataset.rankings, (item) => item.ranking_id, '$.rankings');
-  uniqueIndex(dataset.recommendations, (item) => item.recommendation_id, '$.recommendations');
-  uniqueIndex(dataset.sensitivities, (item) => item.sensitivity_id, '$.sensitivities');
-
-  const points = new Map<string, { point: CollectiveXPoint; series: CollectiveXSeries }>();
-  for (const owner of dataset.series) {
-    for (const point of owner.points) {
-      if (points.has(point.point_id)) {
-        throw new CollectiveXDataError(`$.series contains duplicate point ID ${point.point_id}.`);
-      }
-      points.set(point.point_id, { point, series: owner });
-    }
-  }
+function mapComponent(
+  raw: CollectiveXRawRow['components'][string] | undefined,
+  bytes: CollectiveXRawRow['byte_provenance'][string] | undefined,
+): CollectiveXComponent | null {
+  if (!raw || raw.percentiles_us === null || raw.availability === 'unavailable') return null;
+  const latency_us = raw.percentiles_us;
+  const origin = raw.origin === 'measured' ? 'measured' : 'derived';
+  if (!bytes) {
+    return {
+      origin,
+      latency_us,
+      byte_provenance: null,
+      activation_data_rate_gbps_at_latency_percentile: null,
+      total_logical_data_rate_gbps_at_latency_percentile: null,
+      sample_count: raw.sample_count ?? null,
+    };
+  }
+  const byte_provenance = {
+    accounting_contract: ACTIVATION_ACCOUNTING,
+    activation_data_bytes: bytes.activation_data_bytes,
+    scale_bytes: bytes.scale_bytes ?? 0,
+    total_logical_bytes: bytes.total_logical_bytes,
+  };
+  return {
+    origin,
+    latency_us,
+    byte_provenance,
+    activation_data_rate_gbps_at_latency_percentile: ratesFrom(
+      bytes.activation_data_bytes,
+      latency_us,
+    ),
+    total_logical_data_rate_gbps_at_latency_percentile: ratesFrom(
+      bytes.total_logical_bytes,
+      latency_us,
+    ),
+    sample_count: raw.sample_count ?? null,
+  };
+}
 
-  const allocationIds = new Set(dataset.promotion.allocation_ids);
-  const seenEvidenceIds = new Set<string>();
-  const attemptGroups = new Map<string, CollectiveXDataset['attempts']>();
-  for (const attempt of dataset.attempts) {
-    if (!coverage.has(attempt.case_id)) {
-      throw new CollectiveXDataError(`attempt ${attempt.attempt_id} references unknown coverage.`);
-    }
-    if (!allocationIds.has(attempt.allocation_id)) {
-      throw new CollectiveXDataError(
-        `attempt ${attempt.attempt_id} references unknown allocation.`,
-      );
-    }
-    for (const evidence of attempt.evidence) {
-      if (seenEvidenceIds.has(evidence.evidence_id)) {
-        throw new CollectiveXDataError(
-          `$.attempts contains duplicate evidence ID ${evidence.evidence_id}.`,
-        );
-      }
-      seenEvidenceIds.add(evidence.evidence_id);
-    }
-    if (
-      (attempt.outcome === 'success' && attempt.selected) !== (attempt.series_id !== null) ||
-      (attempt.outcome === 'success') !== (attempt.reason === null) ||
-      (attempt.outcome === 'success' && attempt.failure_mode !== null)
-    ) {
-      throw new CollectiveXDataError(`attempt ${attempt.attempt_id} has contradictory status.`);
-    }
-    const groupKey = `${attempt.case_id}\0${attempt.allocation_id}`;
-    attemptGroups.set(groupKey, [...(attemptGroups.get(groupKey) ?? []), attempt]);
-    if (attempt.series_id === null) continue;
-    const owner = series.get(attempt.series_id);
-    if (!owner) {
-      throw new CollectiveXDataError(`attempt ${attempt.attempt_id} references unknown series.`);
-    }
-    if (
-      !owner.case_ids.includes(attempt.case_id) ||
-      !owner.allocation_ids.includes(attempt.allocation_id)
-    ) {
-      throw new CollectiveXDataError(
-        `attempt ${attempt.attempt_id} is outside its series catalog.`,
-      );
-    }
-    for (const evidence of attempt.evidence) {
-      const pointOwner = points.get(evidence.point_id);
-      if (
-        pointOwner?.series.series_id !== owner.series_id ||
-        !pointOwner.point.evidence_ids.includes(evidence.evidence_id)
-      ) {
-        throw new CollectiveXDataError(`attempt ${attempt.attempt_id} has invalid point evidence.`);
-      }
-    }
-  }
-  for (const group of attemptGroups.values()) {
-    const ordered = group.toSorted((left, right) => left.attempt_index - right.attempt_index);
-    const selected = ordered.filter((attempt) => attempt.selected);
-    if (
-      ordered.some((attempt, index) => attempt.attempt_index !== index + 1) ||
-      selected.length !== 1
-    ) {
-      throw new CollectiveXDataError('retained retries have an invalid allocation selection.');
-    }
-  }
-  if (
-    !sameIds(
-      dataset.promotion.allocation_ids,
-      dataset.attempts.map((item) => item.allocation_id),
-    )
-  ) {
-    throw new CollectiveXDataError('$.promotion.allocation_ids differs from retained attempts.');
-  }
-  if (
-    !sameIds(
-      dataset.promotion.qualification_indices.map(String),
-      [
-        ...new Set(
-          dataset.attempts.filter((item) => item.selected).map((item) => item.qualification_index),
-        ),
-      ].map(String),
-    )
-  ) {
-    throw new CollectiveXDataError(
-      '$.promotion.qualification_indices differs from retained attempts.',
-    );
-  }
+function precisionProfileId(profile: CollectiveXRawProfile): string {
+  return `d-${profile.dtype}.c-${profile.combine_dtype}`;
+}
 
-  for (const item of dataset.coverage) {
-    const expectedAttempts = dataset.attempts
-      .filter((attempt) => attempt.case_id === item.case_id)
-      .map((attempt) => attempt.attempt_id);
-    if (!sameIds(item.attempt_ids, expectedAttempts)) {
-      throw new CollectiveXDataError(
-        `coverage ${item.case_id} has an inconsistent attempt catalog.`,
-      );
-    }
-    if (item.selected_attempt_id === null) continue;
-    const selected = attempts.get(item.selected_attempt_id);
-    if (
-      !selected ||
-      !item.attempt_ids.includes(selected.attempt_id) ||
-      !selected.selected ||
-      selected.outcome !== item.outcome ||
-      selected.failure_mode !== item.failure_mode ||
-      selected.reason !== item.reason
-    ) {
-      throw new CollectiveXDataError(`coverage ${item.case_id} has an invalid selected attempt.`);
-    }
-  }
-  const coveragePoints = dataset.coverage.flatMap((item) => item.points);
-  for (const item of dataset.coverage) {
-    for (const coveragePoint of item.points) {
-      if (coveragePoint.point_id === null || coveragePoint.series_id === null) continue;
-      const owner = points.get(coveragePoint.point_id);
-      if (
-        owner?.series.series_id !== coveragePoint.series_id ||
-        !owner.series.case_ids.includes(item.case_id) ||
-        owner.point.tokens_per_rank !== coveragePoint.tokens_per_rank ||
-        owner.point.global_tokens !== coveragePoint.global_tokens
-      ) {
-        throw new CollectiveXDataError(
-          `coverage ${item.case_id} has an invalid point catalog entry.`,
-        );
-      }
-    }
-  }
-  const measuredCases = dataset.coverage.filter((item) =>
-    item.points.every((point) => point.terminal_status === 'measured'),
-  ).length;
-  const unsupportedCases = dataset.coverage.filter((item) =>
-    item.points.every((point) => point.terminal_status === 'unsupported'),
-  ).length;
-  if (
-    dataset.promotion.requested_cases !== dataset.coverage.length ||
-    dataset.promotion.terminal_cases !==
-      dataset.coverage.filter((item) => item.selected_attempt_id !== null).length ||
-    dataset.promotion.measured_cases !== measuredCases ||
-    dataset.promotion.unsupported_cases !== unsupportedCases ||
-    dataset.promotion.requested_points !== coveragePoints.length ||
-    dataset.promotion.terminal_points !== coveragePoints.length ||
-    dataset.promotion.measured_points !==
-      coveragePoints.filter((item) => item.terminal_status === 'measured').length ||
-    dataset.promotion.unsupported_points !==
-      coveragePoints.filter((item) => item.terminal_status === 'unsupported').length
-  ) {
-    throw new CollectiveXDataError('$.promotion coverage counters differ from coverage.');
-  }
+function dispatchPrecision(profile: CollectiveXRawProfile): CollectiveXPrecisionAxis {
+  return { communication_format: profile.dtype, quant_mode: 'none', semantics: 'dispatch' };
+}
 
-  for (const item of dataset.series) {
-    if (
-      item.status !== (item.eligibility.decision_grade ? 'decision-grade' : 'diagnostic') ||
-      !sameIds(item.eligibility.allocation_ids, item.allocation_ids) ||
-      item.eligibility.correct !==
-        item.points.every(
-          (point) => point.correctness.semantic_pass && point.correctness.precision.passed,
-        )
-    ) {
-      throw new CollectiveXDataError(`series ${item.series_id} has inconsistent eligibility.`);
-    }
-    if (item.case_ids.some((id) => !coverage.has(id))) {
-      throw new CollectiveXDataError(`series ${item.series_id} references unknown coverage.`);
-    }
-    if (item.allocation_ids.some((id) => !allocationIds.has(id))) {
-      throw new CollectiveXDataError(`series ${item.series_id} references unknown allocation.`);
-    }
-    const selected = dataset.attempts.filter(
-      (attempt) => attempt.selected && attempt.series_id === item.series_id,
-    );
-    const selectedQualificationIndices = [
-      ...new Set(selected.map((attempt) => attempt.qualification_index)),
-    ];
-    if (
-      !sameIds(
-        item.case_ids,
-        selected.map((attempt) => attempt.case_id),
-      ) ||
-      !sameIds(
-        item.allocation_ids,
-        selected.map((attempt) => attempt.allocation_id),
-      ) ||
-      !sameIds(
-        item.measurement.qualification_indices.map(String),
-        selectedQualificationIndices.map(String),
-      )
-    ) {
-      throw new CollectiveXDataError(
-        `series ${item.series_id} has an inconsistent attempt catalog.`,
-      );
-    }
-    for (const point of item.points) {
-      const pointAttempts = selected.filter((attempt) =>
-        attempt.evidence.some((evidence) => evidence.point_id === point.point_id),
-      );
-      const linkedEvidenceIds = pointAttempts.flatMap((attempt) =>
-        attempt.evidence
-          .filter((evidence) => evidence.point_id === point.point_id)
-          .map((evidence) => evidence.evidence_id),
-      );
-      if (!sameIds(point.evidence_ids, linkedEvidenceIds)) {
-        throw new CollectiveXDataError(`point ${point.point_id} has inconsistent evidence links.`);
-      }
-      if (
-        point.correctness.precision.profile_id !== item.workload.precision_profile ||
-        (point.correctness.semantic_pass && !point.correctness.precision.passed)
-      ) {
-        throw new CollectiveXDataError(
-          `point ${point.point_id} has inconsistent precision correctness.`,
-        );
-      }
-      for (const [name, component] of Object.entries(point.components)) {
-        if (component === null) continue;
-        const bytes = component.byte_provenance;
-        const derived = name === 'isolated_sum';
-        if (
-          bytes.total_logical_bytes !== bytes.activation_data_bytes + bytes.scale_bytes ||
-          (derived &&
-            (component.activation_data_rate_gbps_at_latency_percentile !== null ||
-              component.total_logical_data_rate_gbps_at_latency_percentile !== null)) ||
-          (!derived &&
-            (component.activation_data_rate_gbps_at_latency_percentile === null ||
-              component.total_logical_data_rate_gbps_at_latency_percentile === null))
-        ) {
-          throw new CollectiveXDataError(
-            `point ${point.point_id} has inconsistent ${name} byte accounting.`,
-          );
-        }
-      }
-    }
-    if (
-      item.eligibility.decision_grade &&
-      !sameIds(
-        selectedQualificationIndices.map(String),
-        dataset.promotion.qualification_indices.map(String),
-      )
-    ) {
-      throw new CollectiveXDataError(
-        `series ${item.series_id} lacks the required qualification indices.`,
-      );
-    }
-  }
+function combinePrecision(profile: CollectiveXRawProfile): CollectiveXPrecisionAxis {
+  return {
+    communication_format: profile.combine_dtype,
+    quant_mode: profile.combine_quant_mode ?? 'none',
+    semantics: profile.combine_semantics,
+  };
+}
 
-  for (const cohort of dataset.cohorts) {
-    if (cohort.series_ids.some((id) => !series.has(id))) {
-      throw new CollectiveXDataError(`cohort ${cohort.cohort_id} references unknown series.`);
-    }
-    const members = cohort.series_ids.map((id) => series.get(id)!);
-    const memberAllocations = members.flatMap((item) => item.allocation_ids);
-    const expectedTier = members.some((item) => item.publication_tier === 'comparable-experimental')
-      ? 'comparable-experimental'
-      : 'official';
-    if (
-      cohort.publication_tier !== expectedTier ||
-      !sameIds(cohort.eligibility.allocation_ids, memberAllocations)
-    ) {
-      throw new CollectiveXDataError(`cohort ${cohort.cohort_id} has inconsistent eligibility.`);
-    }
-  }
+function caseLabel(sku: string, backend: string, phase: string, ep: number): string {
+  return `${sku} · ${backend} · ${phase} · EP${ep}`;
+}
 
-  const declaredRankingLeaders = new Map<
-    string,
-    CollectiveXDataset['rankings'][number]['entries'][number]
-  >();
-  const expectedRankingMetrics = new Set<string>();
-  for (const cohort of dataset.cohorts) {
-    if (!cohort.eligibility.decision_grade || cohort.kind === 'precision-pair') continue;
-    const members = cohort.series_ids.map((id) => series.get(id)!);
-    const commonTokens = members
-      .map((item) => new Set(item.points.map((point) => point.tokens_per_rank)))
-      .reduce((left, right) => new Set([...left].filter((token) => right.has(token))));
-    for (const tokens of commonTokens) {
-      for (const measure of [
-        'latency_us',
-        'activation_data_rate_gbps_at_latency_percentile',
-        'total_logical_data_rate_gbps_at_latency_percentile',
-      ] as const) {
-        for (const statistic of ['p50', 'p99'] as const) {
-          expectedRankingMetrics.add(
-            rankingMetricKey(cohort.cohort_id, {
-              operation: 'roundtrip',
-              phase: members[0].phase,
-              tokens_per_rank: tokens,
-              measure,
-              statistic,
-              objective: measure === 'latency_us' ? 'min' : 'max',
-            }),
-          );
-        }
-      }
-    }
+// ---------------------------------------------------------------------------
+// Neutral-format field synthesis
+//
+// The neutral MVP backend trimmed several promotion-era identity fields (series_id,
+// allocation_id, series_factors, per-row evidence_id) and now emits structured anomaly
+// objects. Each helper returns the legacy value when present (the fixtures still carry
+// them) and otherwise derives a stable, view-schema-valid substitute.
+// ---------------------------------------------------------------------------
+function seriesKeyOf(shard: CollectiveXRawCaseAttempt): string {
+  // Retries of a case share its case_id, so case_id is the natural series key when no
+  // explicit series_id was emitted.
+  return shard.identity.series_id ?? shard.identity.case_id;
+}
+
+function allocationIdOf(shard: CollectiveXRawCaseAttempt): string {
+  const { allocation_id, allocation_factors } = shard.identity;
+  if (allocation_id) return allocation_id;
+  // One GHA run+attempt is one allocation; derive a stable, safe-id substitute.
+  return `alloc-${allocation_factors.run_id}-${allocation_factors.run_attempt}`;
+}
+
+function evidenceIdOf(row: CollectiveXRawRow): string {
+  // point_id is unique per row, so it yields a unique, safe evidence id.
+  return row.evidence_id ?? `ev-${row.point_id}`;
+}
+
+function seriesBuild(shard: CollectiveXRawCaseAttempt): CollectiveXSeries['build'] {
+  const factors = shard.identity.series_factors;
+  const image = shard.provenance?.image;
+  return {
+    image_digest: factors?.image_digest ?? image?.digest ?? '',
+    source_sha:
+      factors?.source_sha ??
+      shard.identity.allocation_factors.source_sha ??
+      shard.provenance?.git_run?.source_sha ??
+      '',
+    squash_sha256: factors?.squash_sha256 ?? image?.squash_sha256 ?? '',
+  };
+}
+
+function anomalyReasonId(anomaly: string | Record<string, unknown>): string {
+  const raw =
+    typeof anomaly === 'string'
+      ? anomaly
+      : typeof anomaly.type === 'string'
+        ? anomaly.type
+        : 'anomaly';
+  const slug = raw
+    .toLowerCase()
+    .replaceAll(/[^a-z0-9.-]+/g, '-')
+    .replace(/^[^a-z0-9]+/, '')
+    .slice(0, 96);
+  return slug.length > 0 ? slug : 'anomaly';
+}
+
+function mapAnomalies(anomalies: CollectiveXRawRow['anomalies']): string[] {
+  if (!anomalies) return [];
+  const seen = new Set<string>();
+  for (const anomaly of anomalies) {
+    seen.add(anomalyReasonId(anomaly));
+    if (seen.size >= 16) break;
   }
-  const rankingMetrics = new Set<string>();
-  for (const ranking of dataset.rankings) {
-    const cohort = cohorts.get(ranking.cohort_id);
-    if (!cohort) {
-      throw new CollectiveXDataError(`ranking ${ranking.ranking_id} references unknown cohort.`);
-    }
-    if (
-      !sameIds(
-        ranking.entries.map((entry) => entry.series_id),
-        cohort.series_ids,
-      )
-    ) {
-      throw new CollectiveXDataError(
-        `ranking ${ranking.ranking_id} does not reference its cohort.`,
-      );
-    }
-    const expectedObjective = ranking.metric.measure === 'latency_us' ? 'min' : 'max';
-    const expectedUnit = ranking.metric.measure === 'latency_us' ? 'us' : 'GB/s';
-    const p99Latency =
-      ranking.metric.measure === 'latency_us' && ranking.metric.statistic === 'p99';
-    if (
-      ranking.publication_tier !== cohort.publication_tier ||
-      cohort.kind === 'precision-pair' ||
-      !cohort.eligibility.decision_grade ||
-      !sameValue(ranking.eligibility, cohort.eligibility) ||
-      ranking.metric.objective !== expectedObjective ||
-      ranking.entries.some(
-        (entry, index) =>
-          entry.unit !== expectedUnit ||
-          (p99Latency ? entry.rank !== 1 && entry.rank !== index + 1 : entry.rank !== index + 1),
-      )
-    ) {
-      throw new CollectiveXDataError(`ranking ${ranking.ranking_id} has invalid metric metadata.`);
-    }
-    const metricKey = rankingMetricKey(ranking.cohort_id, ranking.metric);
-    if (rankingMetrics.has(metricKey)) {
-      throw new CollectiveXDataError(`ranking ${ranking.ranking_id} duplicates a decision metric.`);
-    }
-    rankingMetrics.add(metricKey);
-    for (const entry of ranking.entries) {
-      const pointOwner = points.get(entry.point_id);
-      const measured = pointOwner ? metricValue(pointOwner.series, ranking.metric) : null;
-      if (
-        pointOwner?.series.series_id !== entry.series_id ||
-        !measured ||
-        measured.point.point_id !== entry.point_id
-      ) {
-        throw new CollectiveXDataError(
-          `ranking ${ranking.ranking_id} references an invalid point.`,
-        );
-      }
-      if (measured.unit !== entry.unit || !closeEnough(measured.value, entry.value)) {
-        throw new CollectiveXDataError(
-          `ranking ${ranking.ranking_id} differs from measured series data.`,
-        );
-      }
-    }
-    const expectedEntries = ranking.entries.toSorted((left, right) => {
-      const valueOrder = left.value - right.value;
-      if (valueOrder !== 0) {
-        return ranking.metric.objective === 'min' ? valueOrder : -valueOrder;
-      }
-      return ranking.metric.objective === 'min'
-        ? left.series_id.localeCompare(right.series_id)
-        : right.series_id.localeCompare(left.series_id);
+  return [...seen];
+}
+
+function mapPoint(row: CollectiveXRawRow): CollectiveXPoint {
+  return {
+    point_id: row.point_id,
+    tokens_per_rank: row.tokens_per_rank,
+    global_tokens: row.global_tokens,
+    anomalies: mapAnomalies(row.anomalies),
+    correctness: {
+      passed: row.correctness.passed,
+      max_relative_error: row.correctness.max_relative_error,
+      contract: row.correctness.contract,
+      scope: row.correctness.scope,
+    },
+    routing: {
+      fanout_mean: row.routing.fanout_mean,
+      routed_copies: row.routing.routed_copies,
+      recv_tokens_max: row.receive.max,
+      expert_load_cv: row.routing.expert_load_cv,
+      payload_rank_cv: row.routing.payload_rank_cv,
+      hotspot_ratio: row.routing.hotspot_ratio,
+      empty_expert_count: row.routing.empty_expert_count,
+      empty_rank_count: row.routing.empty_rank_count,
+    },
+    components: {
+      dispatch: mapComponent(row.components.dispatch, row.byte_provenance.dispatch),
+      stage: mapComponent(row.components.stage, row.byte_provenance.stage),
+      combine: mapComponent(row.components.combine, row.byte_provenance.combine),
+      roundtrip: mapComponent(row.components.roundtrip, row.byte_provenance.roundtrip),
+      isolated_sum: mapComponent(row.components.isolated_sum, row.byte_provenance.isolated_sum),
+    },
+    roundtrip_token_rate_at_latency_percentile: row.token_rate_at_latency_percentile,
+    evidence_ids: [evidenceIdOf(row)],
+  };
+}
+
+function buildSeries(shard: CollectiveXRawCaseAttempt): CollectiveXSeries {
+  const { identity, topology, implementation, measurement, runtime_fingerprint } = shard;
+  const kase = identity.case_factors.case;
+  const profile = identity.case_factors.profile;
+  const sku = identity.case_factors.sku;
+  const vendor = runtime_fingerprint.vendor === 'amd' ? 'amd' : 'nvidia';
+  return {
+    series_id: seriesKeyOf(shard),
+    label: caseLabel(sku, kase.backend, kase.phase, kase.ep),
+    allocation_ids: [allocationIdOf(shard)],
+    model: kase.workload,
+    suite: kase.suite,
+    mode: kase.mode === 'low-latency' ? 'low-latency' : 'normal',
+    phase: kase.phase === 'prefill' ? 'prefill' : 'decode',
+    backend: {
+      id: identity.series_factors?.backend ?? kase.backend,
+      label: implementation.name,
+      generation: implementation.provenance.backend_lineage ?? null,
+      version: implementation.provenance.deepep_version ?? null,
+    },
+    build: seriesBuild(shard),
+    system: {
+      sku,
+      label: topology.device_product ?? sku,
+      vendor,
+      topology_class: topology.topology_class,
+      transport: topology.transport,
+      scale_up_transport: topology.scale_up_transport,
+      scale_out_transport: topology.scale_out_transport,
+      scope: topology.scope === 'scale-out' ? 'scale-out' : 'scale-up',
+      nodes: topology.nodes,
+      gpus_per_node: topology.gpus_per_node,
+      scale_up_domain: topology.scale_up_domain,
+      world_size: topology.world_size,
+      ep_size: kase.ep,
+      placement: topology.placement,
+    },
+    workload: {
+      workload_id: identity.series_factors?.workload_id ?? kase.workload,
+      hidden: kase.hidden,
+      top_k: kase.topk,
+      experts: kase.experts,
+      routing: kase.routing === 'zipf' ? 'zipf' : 'uniform',
+      eplb: kase.eplb,
+      precision_profile: precisionProfileId(profile),
+      dispatch_precision: dispatchPrecision(profile),
+      combine_precision: combinePrecision(profile),
+      activation_profile: profile.activation_profile,
+    },
+    eplb: {
+      enabled: kase.eplb,
+      planner: profile.eplb_planner ?? null,
+      logical_experts: kase.experts,
+      physical_experts: null,
+      redundant_experts: profile.eplb_redundant_experts ?? 0,
+      reference_tokens_per_rank: profile.eplb_reference_tokens_per_rank ?? null,
+      replicated_experts: null,
+      max_replicas: null,
+      imbalance_before: null,
+      imbalance_after: null,
+      mapping_sha256: null,
+    },
+    resource: {
+      mode: profile.resource_mode ?? 'fixed-profile',
+      profile: implementation.resource_profile.resource_class ?? 'fixed-profile',
+      comm_units_kind: implementation.resource_profile.comm_units_kind ?? null,
+      configured_units: implementation.resource_profile.configured_units ?? null,
+    },
+    measurement: {
+      contract: measurement.contract,
+      combine_semantics: profile.combine_semantics,
+      payload_unit: profile.payload_unit,
+      iters: measurement.sampling.iterations_per_trial,
+      trials: measurement.sampling.trials,
+      warmups: measurement.sampling.warmup_iterations,
+      samples_per_component: measurement.sampling.samples_per_component,
+    },
+    points: measurement.rows.map((row) => mapPoint(row)),
+  };
+}
+
+function successAttempt(shard: CollectiveXRawCaseAttempt): CollectiveXAttempt {
+  const { identity } = shard;
+  return {
+    attempt_id: identity.attempt_id,
+    case_id: identity.case_id,
+    allocation_id: allocationIdOf(shard),
+    run_id: identity.allocation_factors.run_id,
+    run_attempt: Number(identity.allocation_factors.run_attempt) || 1,
+    attempt_index: identity.attempt_ordinal,
+    outcome: 'success',
+    failure_mode: null,
+    reason: null,
+    selected: true,
+    evidence: shard.measurement.rows.map((row) => ({
+      evidence_id: evidenceIdOf(row),
+      point_id: row.point_id,
+    })),
+  };
+}
+
+function terminalAttempt(doc: CollectiveXRawTerminal): CollectiveXAttempt | null {
+  const { identity, outcome } = doc;
+  const attemptId = identity.attempt_id;
+  const caseId = identity.case_id;
+  const allocationId = identity.allocation_id;
+  const runId = identity.allocation_factors?.run_id;
+  // Terminal docs from the capability resolver carry full-format IDs; only emit an
+  // attempt when they are all present, otherwise the coverage row records the outcome.
+  if (!attemptId || !caseId || !allocationId || !runId) return null;
+  const mapped = toOutcome(outcome.status);
+  return {
+    attempt_id: attemptId,
+    case_id: caseId,
+    allocation_id: allocationId,
+    run_id: runId,
+    run_attempt: Number(identity.allocation_factors?.run_attempt) || 1,
+    attempt_index: identity.attempt_ordinal ?? 1,
+    outcome: mapped,
+    failure_mode: outcome.failure_mode ?? null,
+    reason: outcome.reason ?? outcome.failure_mode ?? null,
+    selected: true,
+    evidence: [],
+  };
+}
+
+function ladderTokens(kase: CollectiveXRawCase): number[] {
+  const world = kase.nodes * kase.gpus_per_node;
+  const tokens = kase.ladder
+    .split(/\s+/)
+    .map(Number)
+    .filter((value) => Number.isSafeInteger(value) && value > 0);
+  return tokens.length > 0 ? tokens : [world];
+}
+
+function measuredCoveragePoints(shard: CollectiveXRawCaseAttempt): CollectiveXCoveragePoint[] {
+  return shard.measurement.rows.map((row) => ({
+    point_id: row.point_id,
+    series_id: seriesKeyOf(shard),
+    tokens_per_rank: row.tokens_per_rank,
+    global_tokens: row.global_tokens,
+    terminal_status: 'measured' as const,
+    reason: null,
+  }));
+}
+
+function terminalCoveragePoints(
+  kase: CollectiveXRawCase,
+  status: CollectiveXTerminalStatus,
+  reason: string,
+): CollectiveXCoveragePoint[] {
+  const world = kase.nodes * kase.gpus_per_node;
+  return ladderTokens(kase).map((tokens) => ({
+    point_id: null,
+    series_id: null,
+    tokens_per_rank: tokens,
+    global_tokens: tokens * world,
+    terminal_status: status,
+    reason,
+  }));
+}
+
+export function buildDatasetFromNeutral(
+  matrixRaw: unknown,
+  docs: unknown[],
+  run: CollectiveXNeutralRunMeta,
+): CollectiveXDataset {
+  const matrix = parseWith(collectiveXRawMatrixSchema, matrixRaw, 'matrix');
+
+  const shards: CollectiveXRawCaseAttempt[] = [];
+  const terminals: CollectiveXRawTerminal[] = [];
+  for (const doc of docs) {
+    const format = (doc as { format?: unknown } | null)?.format;
+    if (format === 'collectivex.ep.v1') {
+      shards.push(parseWith(collectiveXRawCaseAttemptSchema, doc, 'shard'));
+    } else if (format === 'collectivex.terminal.v1') {
+      terminals.push(parseWith(collectiveXRawTerminalSchema, doc, 'terminal'));
+    }
+    // Other formats (e.g. collectivex.samples.v1 raw sample dumps) are ignored.
+  }
+
+  const successShards = shards.filter((shard) => shard.outcome.status === 'success');
+  const seriesByCaseId = new Map<string, CollectiveXRawCaseAttempt>();
+  for (const shard of successShards) {
+    if (!seriesByCaseId.has(shard.identity.case_id)) {
+      seriesByCaseId.set(shard.identity.case_id, shard);
+    }
+  }
+  const terminalsByCaseId = new Map<string, CollectiveXRawTerminal>();
+  for (const doc of terminals) {
+    const caseId = doc.identity.case_id;
+    if (caseId && !terminalsByCaseId.has(caseId)) terminalsByCaseId.set(caseId, doc);
+  }
+
+  // Series: one per distinct successful series key (retries of a case share it).
+  const seriesById = new Map<string, CollectiveXSeries>();
+  for (const shard of successShards) {
+    const key = seriesKeyOf(shard);
+    if (!seriesById.has(key)) {
+      seriesById.set(key, buildSeries(shard));
+    }
+  }
+
+  // Attempts: every success shard and every terminal doc with full-format IDs.
+  const attempts: CollectiveXAttempt[] = [];
+  for (const shard of successShards) attempts.push(successAttempt(shard));
+  for (const doc of terminals) {
+    const attempt = terminalAttempt(doc);
+    if (attempt) attempts.push(attempt);
+  }
+  const attemptsByCaseId = new Map<string, CollectiveXAttempt[]>();
+  for (const attempt of attempts) {
+    attemptsByCaseId.set(attempt.case_id, [
+      ...(attemptsByCaseId.get(attempt.case_id) ?? []),
+      attempt,
+    ]);
+  }
+
+  // Coverage: one row per requested matrix case, joined by case_id.
+  const coverage: CollectiveXCoverage[] = [];
+  for (const requested of matrix.requested_cases) {
+    const kase = requested.case;
+    const caseId = kase.case_id;
+    if (!caseId) continue;
+    const shard = seriesByCaseId.get(caseId);
+    const terminal = terminalsByCaseId.get(caseId);
+    const caseAttempts = attemptsByCaseId.get(caseId) ?? [];
+    const attemptIds = caseAttempts.map((attempt) => attempt.attempt_id);
+
+    let outcome: CollectiveXOutcome;
+    let points: CollectiveXCoveragePoint[];
+    let selectedAttemptId: string | null;
+    let failureMode: string | null;
+    let reason: string | null;
+
+    if (shard) {
+      outcome = 'success';
+      points = measuredCoveragePoints(shard);
+      selectedAttemptId = shard.identity.attempt_id;
+      failureMode = null;
+      reason = null;
+    } else if (terminal) {
+      outcome = toOutcome(terminal.outcome.status);
+      reason = terminal.outcome.reason ?? terminal.outcome.failure_mode ?? 'unspecified';
+      points = terminalCoveragePoints(kase, toTerminalStatus(outcome), reason);
+      selectedAttemptId = terminal.identity.attempt_id ?? null;
+      failureMode = terminal.outcome.failure_mode ?? null;
+    } else {
+      outcome = 'pending';
+      reason = 'pending';
+      points = terminalCoveragePoints(kase, 'pending', reason);
+      selectedAttemptId = null;
+      failureMode = null;
+    }
+
+    const profile = shard?.identity.case_factors.profile;
+    coverage.push({
+      case_id: caseId,
+      label: caseLabel(requested.sku, kase.backend, kase.phase, kase.ep),
+      disposition: requested.disposition,
+      sku: requested.sku,
+      backend: kase.backend,
+      backend_generation: shard?.implementation.provenance.backend_lineage ?? null,
+      mode: kase.mode === 'low-latency' ? 'low-latency' : 'normal',
+      phase: kase.phase === 'prefill' ? 'prefill' : 'decode',
+      routing: kase.routing === 'zipf' ? 'zipf' : 'uniform',
+      eplb: kase.eplb,
+      precision_profile: profile ? precisionProfileId(profile) : null,
+      dispatch_precision: profile ? dispatchPrecision(profile) : null,
+      combine_precision: profile ? combinePrecision(profile) : null,
+      resource: {
+        mode: profile?.resource_mode ?? null,
+        profile: shard?.implementation.resource_profile.resource_class ?? null,
+        comm_units_kind: shard?.implementation.resource_profile.comm_units_kind ?? null,
+        configured_units: shard?.implementation.resource_profile.configured_units ?? null,
+      },
+      topology: {
+        ep_size: kase.ep,
+        nodes: kase.nodes,
+        gpus_per_node: kase.gpus_per_node,
+        scale_up_domain: kase.scale_up_domain,
+        scope: kase.scope === 'scale-out' ? 'scale-out' : 'scale-up',
+        scale_up_transport: kase.scale_up_transport,
+        scale_out_transport: kase.scale_out_transport,
+        transport: kase.transport,
+        topology_class: kase.topology_class,
+      },
+      points,
+      selected_attempt_id: selectedAttemptId,
+      outcome,
+      failure_mode: failureMode,
+      reason,
+      attempt_ids: [...new Set(attemptIds)],
     });
-    const tiedFirst = p99Latency ? ranking.entries.filter((entry) => entry.rank === 1).length : 0;
-    const expectedRanks = p99Latency
-      ? ranking.entries.map((_, index) => (index < tiedFirst ? 1 : index + 1))
-      : ranking.entries.map((_, index) => index + 1);
-    if (
-      !sameValue(ranking.entries, expectedEntries) ||
-      !sameValue(
-        ranking.entries.map((entry) => entry.rank),
-        expectedRanks,
-      )
-    ) {
-      throw new CollectiveXDataError(`ranking ${ranking.ranking_id} has invalid ordering.`);
-    }
-    const rankOne = ranking.entries.filter((entry) => entry.rank === 1);
-    if (rankOne.length === 1) {
-      const declaredWinner = rankOne[0];
-      const winnerKey = [
-        ranking.cohort_id,
-        ranking.metric.measure,
-        ranking.metric.statistic,
-        declaredWinner.point_id,
-      ].join('\0');
-      declaredRankingLeaders.set(winnerKey, declaredWinner);
-    }
-  }
-  if (!sameIds([...rankingMetrics], expectedRankingMetrics)) {
-    throw new CollectiveXDataError('rankings do not cover every eligible cohort metric.');
   }
 
-  const recommendationKeys = new Set<string>();
-  const expectedRecommendationKeys = new Set<string>();
-  for (const ranking of dataset.rankings) {
-    const cohort = cohorts.get(ranking.cohort_id)!;
-    const rankOne = ranking.entries.filter((entry) => entry.rank === 1);
-    if (
-      cohort.publication_tier === 'official' &&
-      !['routing', 'dispatch-precision', 'combine-precision', 'precision-pair'].includes(
-        cohort.kind,
-      ) &&
-      ranking.metric.measure === 'latency_us' &&
-      ranking.metric.statistic === 'p99' &&
-      rankOne.length === 1
-    ) {
-      expectedRecommendationKeys.add(
-        [ranking.cohort_id, 'min-p99-latency', rankOne[0].point_id].join('\0'),
-      );
-    }
-  }
-  for (const recommendation of dataset.recommendations) {
-    const cohort = cohorts.get(recommendation.cohort_id);
-    const [measure, statistic] = RECOMMENDATION_METRICS[recommendation.objective];
-    const declaredWinner = declaredRankingLeaders.get(
-      [recommendation.cohort_id, measure, statistic, recommendation.point_id].join('\0'),
-    );
-    const recommendationKey = [
-      recommendation.cohort_id,
-      recommendation.objective,
-      recommendation.point_id,
-    ].join('\0');
-    if (
-      recommendationKeys.has(recommendationKey) ||
-      recommendation.objective !== 'min-p99-latency' ||
-      !cohort ||
-      ['routing', 'dispatch-precision', 'combine-precision', 'precision-pair'].includes(
-        cohort.kind,
-      ) ||
-      cohort.publication_tier !== 'official' ||
-      !cohort.eligibility.decision_grade ||
-      !sameValue(recommendation.eligibility, cohort.eligibility) ||
-      !cohort.series_ids.includes(recommendation.series_id) ||
-      points.get(recommendation.point_id)?.series.series_id !== recommendation.series_id ||
-      declaredWinner?.series_id !== recommendation.series_id ||
-      declaredWinner.value !== recommendation.value ||
-      declaredWinner.unit !== recommendation.unit
-    ) {
-      throw new CollectiveXDataError(
-        `recommendation ${recommendation.recommendation_id} has invalid publication links.`,
-      );
-    }
-    recommendationKeys.add(recommendationKey);
-  }
-  if (!sameIds([...recommendationKeys], expectedRecommendationKeys)) {
-    throw new CollectiveXDataError('recommendations do not cover every actionable ranking.');
-  }
+  const series = [...seriesById.values()];
+  const coveragePoints = coverage.flatMap((item) => item.points);
+  const measuredCases = coverage.filter((item) => item.outcome === 'success').length;
+  const unsupportedCases = coverage.filter((item) => item.outcome === 'unsupported').length;
+  const failedCases = coverage.filter((item) =>
+    ['failed', 'invalid', 'diagnostic'].includes(item.outcome),
+  ).length;
+  const terminalCases = coverage.filter((item) => item.outcome !== 'pending').length;
+  const measuredPoints = coveragePoints.filter(
+    (point) => point.terminal_status === 'measured',
+  ).length;
+  const terminalPoints = coveragePoints.filter(
+    (point) => point.terminal_status !== 'pending',
+  ).length;
 
-  const sensitivityKeys = new Set<string>();
-  for (const sensitivity of dataset.sensitivities) {
-    const cohort = cohorts.get(sensitivity.cohort_id);
-    const expectedObjective = sensitivity.metric.measure === 'latency_us' ? 'min' : 'max';
-    const sensitivityKey = [
-      sensitivity.cohort_id,
-      sensitivity.baseline_series_id,
-      sensitivity.candidate_series_id,
-      sensitivity.metric.operation,
-      sensitivity.metric.phase,
-      sensitivity.metric.tokens_per_rank,
-      sensitivity.metric.measure,
-      sensitivity.metric.statistic,
-      sensitivity.metric.objective,
-    ].join('\0');
-    if (
-      sensitivityKeys.has(sensitivityKey) ||
-      !cohort ||
-      !['routing', 'dispatch-precision', 'combine-precision'].includes(cohort.kind) ||
-      !cohort.eligibility.decision_grade ||
-      sensitivity.publication_tier !== cohort.publication_tier ||
-      !sameValue(sensitivity.eligibility, cohort.eligibility) ||
-      sensitivity.metric.objective !== expectedObjective ||
-      sensitivity.baseline_series_id === sensitivity.candidate_series_id ||
-      !cohort.series_ids.includes(sensitivity.baseline_series_id) ||
-      !cohort.series_ids.includes(sensitivity.candidate_series_id) ||
-      ![sensitivity.baseline_series_id, sensitivity.candidate_series_id].every((seriesId) => {
-        const owner = series.get(seriesId);
-        return (
-          owner?.phase === sensitivity.metric.phase &&
-          owner.points.some((point) => point.tokens_per_rank === sensitivity.metric.tokens_per_rank)
-        );
-      })
-    ) {
-      throw new CollectiveXDataError(
-        `sensitivity ${sensitivity.sensitivity_id} has invalid publication links.`,
-      );
-    }
-    sensitivityKeys.add(sensitivityKey);
-  }
-  if (
-    dataset.promotion.status === 'quarantined' &&
-    [
-      dataset.source_bundle_ids,
-      dataset.promotion.allocation_ids,
-      dataset.coverage,
-      dataset.attempts,
-      dataset.series,
-      dataset.cohorts,
-      dataset.rankings,
-      dataset.recommendations,
-      dataset.sensitivities,
-    ].some((items) => items.length > 0)
-  ) {
-    throw new CollectiveXDataError('quarantined dataset exposes publication evidence.');
-  }
-  if (dataset.promotion.status === 'promoted' && dataset.rankings.length === 0) {
-    // Rankings are the decision graph. Recommendations are unique-p99-latency-winner
-    // callouts that legitimately do not exist when a cohort's candidates fall within
-    // the bootstrap equivalence band (statistical ties) — a common, honest outcome for
-    // single-allocation publications. The recommendation-coverage check above already
-    // derives 0 as the expected count in that case, so requiring recommendations here
-    // would reject a complete, consistent ranking dataset.
-    throw new CollectiveXDataError('promoted dataset lacks a complete decision graph.');
-  }
+  const dataset: CollectiveXDataset = {
+    format: 'collectivex.view.v1',
+    schema_version: 1,
+    generated_at: run.generated_at,
+    source_bundle_ids: [...new Set(run.source_bundle_ids)].toSorted(),
+    run: {
+      run_id: run.run_id,
+      run_attempt: run.run_attempt,
+      generated_at: run.generated_at,
+      conclusion: run.conclusion,
+      matrix_id: run.matrix_id,
+      requested_cases: coverage.length,
+      terminal_cases: terminalCases,
+      measured_cases: measuredCases,
+      unsupported_cases: unsupportedCases,
+      failed_cases: failedCases,
+      requested_points: coveragePoints.length,
+      terminal_points: terminalPoints,
+      measured_points: measuredPoints,
+      allocation_count: new Set(attempts.map((attempt) => attempt.allocation_id)).size,
+      covered_skus: [...new Set(coverage.map((item) => item.sku))].toSorted(),
+    },
+    coverage,
+    attempts,
+    series,
+  };
+  return parseCollectiveXDataset(dataset);
 }
 
-export function parseCollectiveXDataset(value: unknown): CollectiveXDataset {
-  const parsed = collectiveXDatasetSchema.safeParse(value);
-  if (!parsed.success) throw schemaError(parsed.error);
-  validateDatasetReferences(parsed.data);
-  return parsed.data;
+export function buildRunSummary(dataset: CollectiveXDataset): CollectiveXRunSummary {
+  return {
+    run_id: dataset.run.run_id,
+    run_attempt: dataset.run.run_attempt,
+    generated_at: dataset.run.generated_at,
+    conclusion: dataset.run.conclusion,
+    covered_skus: dataset.run.covered_skus,
+    terminal_counts: {
+      measured: dataset.run.measured_cases,
+      unsupported: dataset.run.unsupported_cases,
+      failed: dataset.run.failed_cases,
+    },
+  };
 }
 
+// ---------------------------------------------------------------------------
+// Client fetch helpers (run-scoped view endpoints)
+// ---------------------------------------------------------------------------
 async function responseOrThrow(url: string, options: RequestInit, name: string): Promise<Response> {
   const response = await fetch(url, options);
   if (response.ok) return response;
   if (response.status === 503) {
     throw new CollectiveXDataError('source-unavailable', 'source-unavailable');
   }
-  if (
-    name === 'channel' &&
-    response.status === 404 &&
-    response.headers.get('x-collectivex-status') === 'channel-unavailable'
-  ) {
-    throw new CollectiveXDataError('channel-unavailable', 'channel-unavailable');
+  if (response.status === 404) {
+    throw new CollectiveXDataError('runs-unavailable', 'runs-unavailable');
   }
   throw new CollectiveXDataError(`${name} request failed (${response.status}).`);
 }
 
-export async function sha256Hex(bytes: Uint8Array<ArrayBuffer>): Promise<string> {
-  if (globalThis.crypto?.subtle) {
-    const digest = await globalThis.crypto.subtle.digest('SHA-256', bytes);
-    return bytesToHex(new Uint8Array(digest));
-  }
-  return bytesToHex(sha256(bytes));
+function resolved(dataset: CollectiveXDataset): CollectiveXResolvedDataset {
+  return { dataset, run_id: dataset.run.run_id, run_attempt: dataset.run.run_attempt };
 }
 
-export async function fetchCollectiveXPublication(
-  channelName: CollectiveXChannelName = 'dev-latest',
+export async function fetchCollectiveXLatest(
   signal?: AbortSignal,
   version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
 ): Promise<CollectiveXResolvedDataset> {
-  const channelResponse = await responseOrThrow(
-    collectiveXChannelUrl(channelName, version),
+  const response = await responseOrThrow(
+    collectiveXLatestUrl(version),
     { cache: 'no-store', credentials: 'same-origin', signal },
-    'channel',
+    'dataset',
   );
-  const channel = parseCollectiveXChannel(strictJson(await channelResponse.text(), 'channel'));
-  if (channel.channel !== channelName) {
-    throw new CollectiveXDataError('channel name does not match its path.');
-  }
+  return resolved(parseCollectiveXDatasetText(await response.text()));
+}
 
-  const datasetResponse = await responseOrThrow(
-    `${collectiveXPublicRoot(version)}${channel.dataset.path}`,
+export async function fetchCollectiveXByRunId(
+  version: CollectiveXVersion,
+  runId: string,
+  signal?: AbortSignal,
+): Promise<CollectiveXResolvedDataset> {
+  if (!/^[1-9][0-9]*$/.test(runId)) {
+    throw new CollectiveXDataError('a run id must be a positive integer.');
+  }
+  const response = await responseOrThrow(
+    collectiveXRunUrl(version, runId),
     { cache: 'force-cache', credentials: 'same-origin', signal },
     'dataset',
   );
-  const bytes = new Uint8Array(await datasetResponse.arrayBuffer());
-  if (bytes.byteLength !== channel.dataset.bytes) {
-    throw new CollectiveXDataError('dataset byte count does not match the channel pointer.');
-  }
-  const digest = await sha256Hex(bytes);
-  if (digest !== channel.dataset.sha256) {
-    throw new CollectiveXDataError('dataset SHA-256 does not match the channel pointer.');
-  }
-
-  let text: string;
-  try {
-    text = new TextDecoder('utf-8', { fatal: true }).decode(bytes);
-  } catch {
-    throw new CollectiveXDataError('dataset is not valid UTF-8 JSON.');
-  }
-  const dataset = parseCollectiveXDataset(strictJson(text, 'dataset'));
-  if (dataset.generated_at !== channel.generated_at) {
-    throw new CollectiveXDataError('dataset timestamp does not match the channel pointer.');
-  }
-  if (channelName === 'dev-latest' && dataset.promotion.status !== 'promoted') {
-    throw new CollectiveXDataError('dev-latest does not reference a promoted dataset.');
-  }
-  return { channel, dataset, digest };
+  return resolved(parseCollectiveXDatasetText(await response.text()));
 }
 
 export async function fetchCollectiveXRuns(
@@ -844,50 +786,10 @@ export async function fetchCollectiveXRuns(
   const response = await responseOrThrow(
     collectiveXRunsUrl(version),
     { cache: 'no-store', credentials: 'same-origin', signal },
-    'channel',
+    'runs',
   );
   const runs = parseCollectiveXRuns(strictJson(await response.text(), 'runs'), version);
   return runs.runs;
 }
 
-export async function fetchCollectiveXByDigest(
-  version: CollectiveXVersion,
-  digest: string,
-  signal?: AbortSignal,
-): Promise<CollectiveXResolvedDataset> {
-  if (!/^[a-f0-9]{64}$/.test(digest)) {
-    throw new CollectiveXDataError('a run digest must be a 64-character SHA-256.');
-  }
-  const datasetResponse = await responseOrThrow(
-    collectiveXDatasetUrl(version, digest),
-    { cache: 'force-cache', credentials: 'same-origin', signal },
-    'dataset',
-  );
-  const bytes = new Uint8Array(await datasetResponse.arrayBuffer());
-  const resolvedDigest = await sha256Hex(bytes);
-  if (resolvedDigest !== digest) {
-    throw new CollectiveXDataError('dataset SHA-256 does not match the requested digest.');
-  }
-
-  let text: string;
-  try {
-    text = new TextDecoder('utf-8', { fatal: true }).decode(bytes);
-  } catch {
-    throw new CollectiveXDataError('dataset is not valid UTF-8 JSON.');
-  }
-  const dataset = parseCollectiveXDataset(strictJson(text, 'dataset'));
-  if (dataset.promotion.status !== 'promoted') {
-    throw new CollectiveXDataError('the selected run does not reference a promoted dataset.');
-  }
-  const channel: CollectiveXChannel = {
-    format: 'collectivex.channel.v1',
-    channel: 'dev-latest',
-    generated_at: dataset.generated_at,
-    dataset: {
-      path: `datasets/${digest}/dataset.json`,
-      sha256: digest,
-      bytes: bytes.byteLength,
-    },
-  };
-  return { channel, dataset, digest };
-}
+export { CollectiveXDataError };
diff --git a/packages/app/src/components/collectivex/test-fixture.ts b/packages/app/src/components/collectivex/test-fixture.ts
index acc7ded20..070b1ff63 100644
--- a/packages/app/src/components/collectivex/test-fixture.ts
+++ b/packages/app/src/components/collectivex/test-fixture.ts
@@ -1,1031 +1,464 @@
-import type {
-  CollectiveXAttempt,
-  CollectiveXCoverage,
-  CollectiveXDataset,
-  CollectiveXEligibility,
-  CollectiveXMetric,
-  CollectiveXMode,
-  CollectiveXSeries,
-} from './types';
+// Neutral-format test fixtures.
+//
+// The CollectiveX frontend consumes three neutral GitHub-artifact formats
+// (collectivex.matrix.v1, collectivex.ep.v1, collectivex.terminal.v1) and assembles
+// the served view dataset with `buildDatasetFromNeutral`. These builders emit those
+// raw artifacts and run them through the real assembler, so a fixture dataset exercises
+// the exact ingest → synthesis → strict-view-validation path the route uses. Building on
+// the real pipeline also guarantees every returned CollectiveXSeries / CollectiveXDataset
+// is view-schema-valid, which is what the data-helper tests operate on.
 
-function fixtureId(
-  kind:
-    | 'allocation'
-    | 'attempt'
-    | 'case'
-    | 'cohort'
-    | 'evidence'
-    | 'point'
-    | 'ranking'
-    | 'recommendation'
-    | 'sensitivity'
-    | 'series'
-    | 'work',
-  value: number,
-): string {
-  return `cx${kind}-v1-${value.toString(16).padStart(64, '0')}`;
+import { buildDatasetFromNeutral, type CollectiveXNeutralRunMeta } from './reader';
+import type { CollectiveXDataset, CollectiveXSeries } from './types';
+
+// View-schema-valid provenance primitives.
+const IMAGE_DIGEST = `sha256:${'a'.repeat(64)}`;
+const SQUASH_SHA256 = 'b'.repeat(64);
+const SOURCE_SHA = 'c'.repeat(40);
+
+type Json = Record<string, unknown>;
+
+export interface RowOverrides {
+  tokensPerRank?: number;
+  globalTokens?: number;
+  anomalies?: (string | Json)[];
+  // Drops the `stage` component to unavailable (null latency) — a two-phase backend.
+  stageUnavailable?: boolean;
+  // Keeps `stage` measured but with zero logical bytes (host-staging → rate 0).
+  stageZeroBytes?: boolean;
+  correctnessPassed?: boolean;
+  maxRelativeError?: number;
 }
 
-const qualificationIndices = [1] as const;
-const allocations = qualificationIndices.map((value) => fixtureId('allocation', value));
-const decisionIds = {
-  libraryCohort: fixtureId('cohort', 1),
-  routingCohort: fixtureId('cohort', 2),
-  chipCohort: fixtureId('cohort', 3),
-  systemCohort: fixtureId('cohort', 4),
-  diagnosticLibraryCohort: fixtureId('cohort', 5),
-  rankings: Array.from({ length: 24 }, (_, index) => fixtureId('ranking', index + 1)),
-  recommendations: Array.from({ length: 24 }, (_, index) => fixtureId('recommendation', index + 1)),
-  sensitivities: Array.from({ length: 12 }, (_, index) => fixtureId('sensitivity', index + 1)),
-} as const;
+export interface ShardOverrides {
+  caseId?: string;
+  variant?: string;
+  sku?: string;
+  backend?: string;
+  implName?: string;
+  backendLineage?: string | null;
+  deepepVersion?: string | null;
+  ep?: number;
+  mode?: string;
+  phase?: string;
+  routing?: string;
+  eplb?: boolean;
+  scope?: string;
+  scaleUpTransport?: string;
+  scaleOutTransport?: string | null;
+  transport?: string;
+  topologyClass?: string;
+  nodes?: number;
+  gpusPerNode?: number;
+  scaleUpDomain?: number;
+  worldSize?: number;
+  deviceProduct?: string;
+  vendor?: string;
+  workload?: string;
+  hidden?: number;
+  topk?: number;
+  experts?: number;
+  ladder?: string;
+  suite?: string;
+  runId?: string;
+  runAttempt?: string;
+  attemptOrdinal?: number;
+  sourceSha?: string;
+  imageDigest?: string;
+  squashSha256?: string;
+  dtype?: string;
+  combineDtype?: string;
+  combineQuantMode?: string;
+  combineSemantics?: string;
+  payloadUnit?: string;
+  activationProfile?: string;
+  resourceMode?: string;
+  resourceClass?: string;
+  commUnitsKind?: string | null;
+  configuredUnits?: number | null;
+  eplbPlanner?: string | null;
+  eplbRedundant?: number;
+  status?: string;
+  rows?: RowOverrides[];
+  // Emit the retired promotion-era identity fields so the legacy-passthrough path is
+  // covered (series_id / allocation_id / series_factors present).
+  legacyIdentity?: boolean;
+}
 
-function attemptId(caseIndex: number, allocationIndex: number, ordinal: number): string {
-  return fixtureId('attempt', caseIndex * 100 + allocationIndex * 10 + ordinal);
+function pct(base: number): Json {
+  return { p50: base, p90: base * 1.08, p95: base * 1.12, p99: base * 1.2 };
 }
-function makeEligibility(): CollectiveXEligibility {
+
+function component(base: number, sampleCount = 512, origin = 'measured'): Json {
   return {
-    decision_grade: true,
-    allocation_ids: [...allocations],
-    complete: true,
-    correct: true,
-    measured_roundtrip_p99: true,
-    stable_ordering: true,
-    reasons: [],
+    availability: 'measured',
+    origin,
+    percentiles_us: pct(base),
+    sample_count: sampleCount,
   };
 }
 
-function component(base: number) {
-  const latency = { p50: base, p90: base + 10, p95: base + 15, p99: base + 20 };
-  const activationBytes = 1_048_576;
-  const scaleBytes = 16_384;
-  const totalBytes = activationBytes + scaleBytes;
-  const rate = (bytes: number) => ({
-    p50: bytes / (latency.p50 * 1000),
-    p90: bytes / (latency.p90 * 1000),
-    p95: bytes / (latency.p95 * 1000),
-    p99: bytes / (latency.p99 * 1000),
-  });
+function bytes(activation: number): Json {
   return {
-    origin: 'measured' as const,
-    latency_us: latency,
-    byte_provenance: {
-      accounting_contract: 'activation-data-plus-scales-v1' as const,
-      activation_data_bytes: activationBytes,
-      scale_bytes: scaleBytes,
-      total_logical_bytes: totalBytes,
-    },
-    activation_data_rate_gbps_at_latency_percentile: rate(activationBytes),
-    total_logical_data_rate_gbps_at_latency_percentile: rate(totalBytes),
-    sample_count: 512,
+    accounting_contract: 'activation-data-plus-scales-v1',
+    activation_data_bytes: activation,
+    scale_bytes: 0,
+    total_logical_bytes: activation,
   };
 }
 
-const bf16Precision = {
-  alignment_contract: 'native-bf16-vector-alignment',
-  api_input_dtype: 'bf16',
-  api_output_dtype: 'bf16',
-  communication_format: 'bf16',
-  conversion_boundary: 'none',
-  padding_contract: 'none',
-  quantization_origin: 'none',
-  scale_dtype: null,
-  scale_group_size: null,
-  scale_layout: 'none',
-} as const;
-
-function precisionEvidence() {
+function makeRawRow(caseId: string, index: number, row: RowOverrides): Json {
+  const tokensPerRank = row.tokensPerRank ?? 128 * (index + 1);
+  const components: Json = {
+    dispatch: component(417 + index),
+    combine: component(392 + index),
+    roundtrip: component(921 + index),
+    isolated_sum: {
+      availability: 'derived',
+      origin: 'derived-percentile-sum',
+      percentiles_us: pct(809 + index),
+    },
+    stage: row.stageUnavailable
+      ? { availability: 'unavailable', percentiles_us: null }
+      : component(120 + index),
+  };
+  const byteProvenance: Json = {
+    dispatch: bytes(384763904),
+    combine: bytes(384763904),
+    roundtrip: bytes(769527808),
+  };
+  if (!row.stageUnavailable) {
+    byteProvenance.stage = row.stageZeroBytes ? bytes(0) : bytes(192381952);
+  }
   return {
-    dequantized_semantics: true,
-    encoded_payload_valid: true,
-    max_abs_error: 0,
-    max_rel_error: 0,
-    passed: true,
-    saturation_count: 0,
-    saturation_rate: 0,
-    scales_finite: null,
-    scales_positive: null,
+    point_id: `${caseId}-t${index + 1}`,
+    tokens_per_rank: tokensPerRank,
+    global_tokens: row.globalTokens ?? tokensPerRank * 8,
+    anomalies: row.anomalies,
+    correctness: {
+      passed: row.correctnessPassed ?? true,
+      max_relative_error: row.maxRelativeError ?? 0.004,
+      contract: 'allclose-v1',
+      scope: 'per-rank',
+    },
+    routing: {
+      fanout_mean: 6.55,
+      routed_copies: 26839,
+      expert_load_cv: 0.084,
+      payload_rank_cv: 0.016,
+      hotspot_ratio: 1.24,
+      empty_expert_count: 0,
+      empty_rank_count: 0,
+    },
+    receive: { max: 1725 },
+    token_rate_at_latency_percentile: pct(8_338_218),
+    components,
+    byte_provenance: byteProvenance,
   };
 }
 
-function decisionMetricValue(
-  item: CollectiveXSeries,
-  metric: CollectiveXDataset['rankings'][number]['metric'],
-) {
-  const roundtrip = item.points[0].components.roundtrip!;
-  return metric.measure === 'latency_us'
-    ? roundtrip.latency_us[metric.statistic]
-    : metric.measure === 'activation_data_rate_gbps_at_latency_percentile'
-      ? roundtrip.activation_data_rate_gbps_at_latency_percentile![metric.statistic]
-      : roundtrip.total_logical_data_rate_gbps_at_latency_percentile![metric.statistic];
+function makeRawCase(o: ShardOverrides, caseId: string): Json {
+  return {
+    case_id: caseId,
+    backend: o.backend ?? 'nccl-ep',
+    ep: o.ep ?? 8,
+    eplb: o.eplb ?? false,
+    experts: o.experts ?? 256,
+    gpus_per_node: o.gpusPerNode ?? 8,
+    hidden: o.hidden ?? 7168,
+    topk: o.topk ?? 8,
+    ladder: o.ladder ?? '128 256',
+    mode: o.mode ?? 'normal',
+    nodes: o.nodes ?? 1,
+    phase: o.phase ?? 'decode',
+    routing: o.routing ?? 'uniform',
+    scope: o.scope ?? 'scale-up',
+    suite: o.suite ?? 'mvp',
+    workload: o.workload ?? 'deepseek-v3',
+    transport: o.transport ?? 'nvlink',
+    topology_class: o.topologyClass ?? 'nvlink-domain',
+    scale_up_domain: o.scaleUpDomain ?? 8,
+    scale_up_transport: o.scaleUpTransport ?? 'nvlink',
+    scale_out_transport: o.scaleOutTransport ?? null,
+  };
 }
 
-function metricLabel(metric: CollectiveXMetric): string {
-  return metric.measure === 'latency_us'
-    ? `${metric.statistic} latency`
-    : `${metric.measure === 'activation_data_rate_gbps_at_latency_percentile' ? 'activation' : 'total logical'} rate at ${metric.statistic} latency`;
+export function caseIdOf(o: ShardOverrides = {}): string {
+  if (o.caseId) return o.caseId;
+  const sku = o.sku ?? 'h200-dgxc';
+  const backend = o.backend ?? 'nccl-ep';
+  const workload = o.workload ?? 'deepseek-v3';
+  const mode = o.mode ?? 'normal';
+  const phase = o.phase ?? 'decode';
+  const ep = o.ep ?? 8;
+  const routing = o.routing ?? 'uniform';
+  const tail = o.variant ? `-${o.variant}` : '';
+  return `${sku}-${backend}-${workload}-${mode}-${phase}-ep${ep}-${routing}${tail}`;
 }
 
-function coverageTopology(series: CollectiveXSeries): CollectiveXCoverage['topology'] {
-  const system = series.system;
-  return {
-    ep_size: system.ep_size,
-    nodes: system.nodes,
-    gpus_per_node: system.gpus_per_node,
-    scale_up_domain: system.scale_up_domain,
-    scope: system.scope,
-    scale_up_transport: system.scale_up_transport,
-    scale_out_transport: system.scale_out_transport,
-    transport: system.transport,
-    topology_class: system.topology_class,
+export function makeRawShard(o: ShardOverrides = {}): Json {
+  const caseId = caseIdOf(o);
+  const sku = o.sku ?? 'h200-dgxc';
+  const backend = o.backend ?? 'nccl-ep';
+  const runId = o.runId ?? '160';
+  const runAttempt = o.runAttempt ?? '1';
+  const attemptId = `${caseId}-a0${o.attemptOrdinal ?? 1}`;
+  const rowSpecs = o.rows ?? [{}, {}];
+
+  const identity: Json = {
+    case_id: caseId,
+    attempt_id: attemptId,
+    attempt_ordinal: o.attemptOrdinal ?? 1,
+    case_factors: {
+      sku,
+      case: makeRawCase(o, caseId),
+      profile: {
+        dtype: o.dtype ?? 'bf16',
+        combine_dtype: o.combineDtype ?? 'bf16',
+        combine_quant_mode: o.combineQuantMode,
+        combine_semantics: o.combineSemantics ?? 'weighted-sum',
+        payload_unit: o.payloadUnit ?? 'tokens',
+        activation_profile: o.activationProfile ?? 'balanced',
+        eplb_planner: o.eplbPlanner ?? null,
+        eplb_redundant_experts: o.eplbRedundant ?? 0,
+        resource_mode: o.resourceMode ?? 'fixed-profile',
+      },
+    },
+    allocation_factors: {
+      run_id: runId,
+      run_attempt: runAttempt,
+      runner: 'gha-runner',
+      artifact: `cxshard-${caseId}`,
+      execution_id: `exec-${runId}`,
+      source_sha: o.sourceSha ?? SOURCE_SHA,
+    },
   };
-}
 
-function makeSeries(
-  index: number,
-  backend: string,
-  latency: number,
-  { mode = 'normal', epSize = 8 }: { mode?: CollectiveXMode; epSize?: 8 | 16 } = {},
-): CollectiveXSeries {
-  const evidenceIds = allocations.map((_, allocationIndex) =>
-    fixtureId('evidence', index * 10 + allocationIndex),
-  );
-  const roundtrip = component(latency);
-  const globalTokens = 128 * epSize;
-  const scaleOut = epSize > 8;
-  const lowLatency = mode === 'low-latency';
+  if (o.legacyIdentity) {
+    identity.series_id = `cxseries-v1-${'d'.repeat(64)}`;
+    identity.allocation_id = `cxalloc-v1-${'e'.repeat(64)}`;
+    identity.series_factors = {
+      backend,
+      source_sha: o.sourceSha ?? SOURCE_SHA,
+      image_digest: o.imageDigest ?? IMAGE_DIGEST,
+      squash_sha256: o.squashSha256 ?? SQUASH_SHA256,
+      workload_id: o.workload ?? 'deepseek-v3',
+    };
+  }
+
   return {
-    series_id: fixtureId('series', index),
-    label: `H100 EP${epSize} · ${backend} · BF16 · uniform${lowLatency ? ' low-latency' : ''}`,
-    status: 'decision-grade',
-    case_ids: [fixtureId('case', index)],
-    allocation_ids: [...allocations],
-    model: 'deepseek-v3-v1',
-    suite: lowLatency ? 'ep-low-latency-v1' : 'ep-core-v1',
-    mode,
-    publication_tier: 'official',
-    phase: 'decode',
-    backend: {
-      id: backend,
-      label: backend,
-      role: backend === 'nccl-ep' ? 'reference' : 'library',
-      generation: 'v1',
-      version: '1.0.0',
-    },
-    build: {
-      implementation_contract_sha256: backend === 'deepep' ? 'd'.repeat(64) : 'e'.repeat(64),
-      public_config_sha256: backend === 'deepep' ? '4'.repeat(64) : '5'.repeat(64),
-      routing_control_sha256: backend === 'deepep' ? 'a'.repeat(64) : 'b'.repeat(64),
-      runtime_fingerprint_sha256: backend === 'deepep' ? '7'.repeat(64) : '8'.repeat(64),
-      image_digest: `sha256:${backend === 'deepep' ? '1'.repeat(64) : '2'.repeat(64)}`,
-      source_sha: 'a'.repeat(40),
-      squash_sha256: backend === 'deepep' ? '3'.repeat(64) : '4'.repeat(64),
+    format: 'collectivex.ep.v1',
+    record_type: 'case-attempt',
+    generated_at: '2026-07-08T12:18:11Z',
+    identity,
+    provenance: {
+      image: {
+        digest: o.imageDigest ?? IMAGE_DIGEST,
+        squash_sha256: o.squashSha256 ?? SQUASH_SHA256,
+      },
+      git_run: { source_sha: o.sourceSha ?? SOURCE_SHA },
     },
-    system: {
-      sku: 'h100',
-      label: 'NVIDIA H100 SXM',
-      vendor: 'nvidia',
-      topology_class: scaleOut ? 'h100-nvlink-rdma' : 'single-node-nvlink',
-      transport: scaleOut ? 'nvlink-rdma' : 'nvlink',
-      scale_up_transport: 'nvlink',
-      scale_out_transport: scaleOut ? 'rdma' : null,
-      scope: scaleOut ? 'scale-out' : 'scale-up',
-      nodes: scaleOut ? 2 : 1,
-      gpus_per_node: 8,
-      scale_up_domain: 8,
-      world_size: epSize,
-      ep_size: epSize,
+    topology: {
+      device_product: o.deviceProduct,
+      gpus_per_node: o.gpusPerNode ?? 8,
+      nodes: o.nodes ?? 1,
       placement: 'packed',
+      scale_out_transport: o.scaleOutTransport ?? null,
+      scale_up_domain: o.scaleUpDomain ?? 8,
+      scale_up_transport: o.scaleUpTransport ?? 'nvlink',
+      scope: o.scope ?? 'scale-up',
+      topology_class: o.topologyClass ?? 'nvlink-domain',
+      transport: o.transport ?? 'nvlink',
+      world_size: o.worldSize ?? (o.nodes ?? 1) * (o.gpusPerNode ?? 8),
     },
-    workload: {
-      workload_id: fixtureId('work', 1),
-      hidden: 7168,
-      top_k: 8,
-      experts: 256,
-      routing: 'uniform',
-      eplb: false,
-      precision_profile: 'd-bf16.c-bf16',
-      dispatch_precision: { ...bf16Precision },
-      combine_precision: { ...bf16Precision },
-      activation_profile: 'canonical-counter-source-v4',
-    },
-    eplb: {
-      enabled: false,
-      calibration_workload_id: null,
-      calibration_trace_sha256: null,
-      calibration_window: null,
-      calibration_token_offset: null,
-      planner: null,
-      mapping_sha256: null,
-      logical_experts: 256,
-      physical_experts: 256,
-      redundant_experts: 0,
-      reference_tokens_per_rank: null,
-      replicated_experts: 0,
-      max_replicas: null,
-      imbalance_before: null,
-      imbalance_after: null,
-    },
-    resource: {
-      mode: 'fixed-profile',
-      profile: 'backend-default',
-      comm_units_kind: 'sm',
-      configured_units: 20,
+    implementation: {
+      name: o.implName ?? backend,
+      kernel_generation: 'generic',
+      provenance: {
+        deepep_version: o.deepepVersion ?? undefined,
+        backend_lineage: o.backendLineage ?? undefined,
+        mode: o.mode ?? 'normal',
+      },
+      resource_profile: {
+        comm_units_kind: o.commUnitsKind ?? undefined,
+        configured_units: o.configuredUnits ?? undefined,
+        resource_class: o.resourceClass ?? 'fixed-profile',
+      },
     },
+    runtime_fingerprint: { vendor: o.vendor ?? 'nvidia' },
     measurement: {
-      contract: lowLatency ? 'expert-packed-weighted-combine-v1' : 'layout-and-dispatch-v1',
-      component_order_contract: 'qualification-hash-rotated-components-v1',
-      combine_semantics: lowLatency ? 'gate-weighted' : 'activation-only',
-      payload_unit: lowLatency ? 'token-expert' : 'token-rank',
-      sampling_contract: 'fixed-512-v1',
-      iters: 8,
-      trials: 64,
-      warmups: 32,
-      samples_per_component: 512,
-      qualification_indices: [...qualificationIndices],
-      headline_component: 'roundtrip',
-      headline_percentile: 'p99',
-    },
-    points: [
-      {
-        point_id: fixtureId('point', index),
-        tokens_per_rank: 128,
-        global_tokens: globalTokens,
-        anomalies: [],
-        correctness: {
-          semantic_pass: true,
-          precision: {
-            dispatch: precisionEvidence(),
-            combine: precisionEvidence(),
-            passed: true,
-            profile_id: 'd-bf16.c-bf16',
-          },
-        },
-        trial_diagnostics: {
-          flagged: false,
-          reasons: [],
-          components: {
-            dispatch:
-              index === 1
-                ? {
-                    drift_flagged: false,
-                    first_last_median_ratio: 1.02,
-                    outlier_flagged: false,
-                    robust_outlier_fraction: 0,
-                    trial_count: 64 as const,
-                  }
-                : null,
-            stage:
-              index === 1
-                ? {
-                    drift_flagged: false,
-                    first_last_median_ratio: 1.01,
-                    outlier_flagged: false,
-                    robust_outlier_fraction: 0,
-                    trial_count: 64 as const,
-                  }
-                : null,
-            combine:
-              index === 1
-                ? {
-                    drift_flagged: false,
-                    first_last_median_ratio: 1.03,
-                    outlier_flagged: false,
-                    robust_outlier_fraction: 0,
-                    trial_count: 64 as const,
-                  }
-                : null,
-            roundtrip: {
-              drift_flagged: false,
-              first_last_median_ratio: 1.04,
-              outlier_flagged: false,
-              robust_outlier_fraction: 0,
-              trial_count: 64 as const,
-            },
-          },
-        },
-        routing: {
-          fanout_mean: 5.25,
-          recv_tokens_max: 740,
-          expert_load_cv: 0.12,
-          payload_rank_cv: 0.08,
-          hotspot_ratio: 1.4,
-          empty_expert_count: 0,
-          empty_rank_count: 0,
-          routed_copies: 5376,
-        },
-        components: {
-          dispatch: index === 1 ? component(30) : null,
-          stage: index === 1 ? component(20) : null,
-          combine: index === 1 ? component(40) : null,
-          roundtrip,
-          isolated_sum:
-            index === 1
-              ? {
-                  origin: 'derived',
-                  latency_us: { p50: 70, p90: 90, p95: 100, p99: 110 },
-                  byte_provenance: {
-                    accounting_contract: 'activation-data-plus-scales-v1',
-                    activation_data_bytes: 0,
-                    scale_bytes: 0,
-                    total_logical_bytes: 0,
-                  },
-                  activation_data_rate_gbps_at_latency_percentile: null,
-                  total_logical_data_rate_gbps_at_latency_percentile: null,
-                  sample_count: null,
-                }
-              : null,
-        },
-        roundtrip_token_rate_at_latency_percentile: {
-          p50: globalTokens / (roundtrip.latency_us.p50 * 1e-6),
-          p90: globalTokens / (roundtrip.latency_us.p90 * 1e-6),
-          p95: globalTokens / (roundtrip.latency_us.p95 * 1e-6),
-          p99: globalTokens / (roundtrip.latency_us.p99 * 1e-6),
-        },
-        evidence_ids: evidenceIds,
+      contract: 'layout-and-dispatch-v1',
+      sampling: {
+        iterations_per_trial: 64,
+        trials: 8,
+        warmup_iterations: 16,
+        samples_per_component: 512,
       },
-    ],
-    eligibility: makeEligibility(),
+      rows: rowSpecs.map((row, index) => makeRawRow(caseId, index, row)),
+    },
+    outcome: { status: o.status ?? 'success' },
   };
 }
 
-function successfulAttempts(item: CollectiveXSeries, caseIndex: number): CollectiveXAttempt[] {
-  return allocations.map((allocationId, allocationIndex) => ({
-    attempt_id: attemptId(caseIndex, allocationIndex + 1, 1),
-    evidence: [
-      {
-        evidence_id: item.points[0].evidence_ids[allocationIndex],
-        point_id: item.points[0].point_id,
-      },
-    ],
-    case_id: item.case_ids[0],
-    allocation_id: allocationId,
-    run_id: String(1000 + allocationIndex),
-    run_attempt: 1,
-    qualification_index: qualificationIndices[allocationIndex],
-    attempt_index: 1,
-    outcome: 'success',
-    failure_mode: null,
-    reason: null,
-    series_id: item.series_id,
-    selected: true,
-    completed_at: '2026-07-04T00:01:00Z',
-  }));
+export interface TerminalOverrides {
+  caseId?: string;
+  sku?: string;
+  status?: string;
+  failureMode?: string;
+  reason?: string | null;
+  returnCode?: number;
+  runId?: string;
+  runAttempt?: string;
+  // Emit full-format attempt identity so a terminal attempt row is produced.
+  withAttempt?: boolean;
 }
 
-function seriesCoverage(
-  item: CollectiveXSeries,
-  retained: CollectiveXAttempt[],
-): CollectiveXCoverage {
-  const selected = retained.at(-1);
+export function makeRawTerminal(o: TerminalOverrides = {}): Json {
+  const caseId = o.caseId ?? 'b300-sxm-deepep-deepseek-v3-normal-decode-ep8-uniform';
+  const identity: Json = {
+    case_id: caseId,
+    allocation_factors: { run_id: o.runId ?? '160', run_attempt: o.runAttempt ?? '1' },
+  };
+  if (o.withAttempt) {
+    identity.allocation_id = `alloc-${o.runId ?? '160'}-${o.runAttempt ?? '1'}`;
+    identity.attempt_id = `${caseId}-a01`;
+    identity.attempt_ordinal = 1;
+  }
   return {
-    case_id: item.case_ids[0],
-    label: `${item.backend.label} ${item.phase}`,
-    required: true,
-    disposition: 'runnable',
-    sku: item.system.sku,
-    suite: item.suite,
-    workload: item.model,
-    publication_tier: item.publication_tier,
-    backend: item.backend.id,
-    backend_generation: item.backend.generation,
-    mode: item.mode,
-    phase: item.phase,
-    routing: item.workload.routing,
-    eplb: item.workload.eplb,
-    precision_profile: item.workload.precision_profile,
-    dispatch_precision: structuredClone(item.workload.dispatch_precision),
-    combine_precision: structuredClone(item.workload.combine_precision),
-    resource: {
-      mode: item.resource.mode,
-      profile: item.resource.profile,
-      comm_units_kind: item.resource.comm_units_kind,
-      configured_units: item.resource.configured_units,
+    format: 'collectivex.terminal.v1',
+    record_type: 'terminal-outcome',
+    generated_at: '2026-07-08T12:18:11Z',
+    identity,
+    outcome: {
+      status: o.status ?? 'unsupported',
+      failure_mode: o.failureMode,
+      reason: o.reason ?? 'capability-gate',
+      return_code: o.returnCode ?? 42,
     },
-    topology: coverageTopology(item),
-    points: item.points.map((point) => ({
-      point_id: point.point_id,
-      series_id: item.series_id,
-      tokens_per_rank: point.tokens_per_rank,
-      global_tokens: point.global_tokens,
-      terminal_status: 'measured' as const,
-      reason: null,
-    })),
-    selected_attempt_id: selected?.attempt_id ?? null,
-    outcome: selected?.outcome ?? 'invalid',
-    failure_mode: selected?.failure_mode ?? null,
-    reason: selected ? selected.reason : 'missing-selected-attempt',
-    attempt_ids: retained.map((attempt) => attempt.attempt_id),
   };
 }
 
-export function makeCollectiveXDataset(): CollectiveXDataset {
-  const routingVariant = makeSeries(4, 'deepep', 110);
-  routingVariant.label = 'H100 EP8 · deepep · BF16 · zipf';
-  routingVariant.suite = 'ep-routing-v1';
-  routingVariant.publication_tier = 'comparable-experimental';
-  routingVariant.workload.routing = 'zipf';
-  routingVariant.points[0].routing = {
-    ...routingVariant.points[0].routing,
-    expert_load_cv: 0.72,
-    payload_rank_cv: 0.41,
-    hotspot_ratio: 4.8,
-    empty_expert_count: 37,
-  };
-  const routingEplbVariant = makeSeries(7, 'deepep', 90);
-  routingEplbVariant.label = 'H100 EP8 · deepep · BF16 · zipf+eplb';
-  routingEplbVariant.suite = 'ep-routing-v1';
-  routingEplbVariant.publication_tier = 'comparable-experimental';
-  routingEplbVariant.workload.routing = 'zipf';
-  routingEplbVariant.workload.eplb = true;
-  routingEplbVariant.build.implementation_contract_sha256 = 'f'.repeat(64);
-  routingEplbVariant.eplb = {
-    enabled: true,
-    calibration_workload_id: fixtureId('work', 70),
-    calibration_trace_sha256: '7'.repeat(64),
-    calibration_window: 'collectivex-eplb-calibration-window-v1',
-    calibration_token_offset: 0,
-    planner: 'greedy-rank-major-v1',
-    mapping_sha256: 'f'.repeat(64),
-    logical_experts: 256,
-    physical_experts: 288,
-    redundant_experts: 32,
-    reference_tokens_per_rank: 2048,
-    replicated_experts: 24,
-    max_replicas: 3,
-    imbalance_before: 4.8,
-    imbalance_after: 1.2,
-  };
-  routingEplbVariant.points[0].routing = {
-    ...routingEplbVariant.points[0].routing,
-    expert_load_cv: 0.18,
-    payload_rank_cv: 0.13,
-    hotspot_ratio: 1.7,
-    empty_expert_count: 3,
+interface RequestedCaseSpec {
+  caseId: string;
+  sku: string;
+  disposition?: 'runnable' | 'unsupported';
+  case: Json;
+}
+
+function requestedFromShard(shard: Json): RequestedCaseSpec {
+  const identity = shard.identity as Json;
+  const factors = identity.case_factors as Json;
+  return {
+    caseId: identity.case_id as string,
+    sku: factors.sku as string,
+    disposition: 'runnable',
+    case: factors.case as Json,
   };
-  const chipVariant = makeSeries(5, 'deepep', 70);
-  const systemVariant = makeSeries(6, 'nccl-ep', 130);
-  for (const item of [chipVariant, systemVariant]) {
-    item.label = `B200 EP8 · ${item.backend.id} · BF16 · uniform`;
-    item.system = {
-      ...item.system,
-      sku: 'b200',
-      label: 'NVIDIA B200 SXM',
-    };
-  }
-  const series = [
-    makeSeries(1, 'deepep', 80),
-    makeSeries(2, 'mori', 100),
-    makeSeries(3, 'nccl-ep', 150),
-    routingVariant,
-    chipVariant,
-    systemVariant,
-    routingEplbVariant,
-  ];
-  const metrics = (
-    [
-      'latency_us',
-      'activation_data_rate_gbps_at_latency_percentile',
-      'total_logical_data_rate_gbps_at_latency_percentile',
-    ] as const
-  ).flatMap((measure) =>
-    (['p50', 'p99'] as const).map((statistic) => ({
-      operation: 'roundtrip' as const,
-      statistic,
-      measure,
-      objective: measure === 'latency_us' ? ('min' as const) : ('max' as const),
-      tokens_per_rank: 128,
-      phase: 'decode' as const,
-    })),
-  );
-  const attempts = series.flatMap((item, seriesIndex) => successfulAttempts(item, seriesIndex + 1));
-  const unsupportedCaseId = fixtureId('case', 8);
-  const unsupportedAttempts: CollectiveXAttempt[] = allocations.map(
-    (allocationId, allocationIndex) => ({
-      attempt_id: attemptId(8, allocationIndex + 1, 1),
-      evidence: [],
-      case_id: unsupportedCaseId,
-      allocation_id: allocationId,
-      run_id: String(1000 + allocationIndex),
-      run_attempt: 1,
-      qualification_index: qualificationIndices[allocationIndex],
-      attempt_index: 1,
-      outcome: 'unsupported',
-      failure_mode: 'capability',
-      reason: 'backend-platform-unsupported',
-      series_id: null,
-      selected: true,
-      completed_at: '2026-07-04T00:01:00Z',
-    }),
-  );
-  attempts.push(...unsupportedAttempts);
-  const cohortId = decisionIds.libraryCohort;
-  const routingCohortId = decisionIds.routingCohort;
-  const cohortMembers = [
-    series.slice(0, 2),
-    [series[0], routingVariant, routingEplbVariant],
-    [series[0], chipVariant],
-    [series[2], systemVariant],
-  ];
-  const cohortIds = [
-    cohortId,
-    routingCohortId,
-    decisionIds.chipCohort,
-    decisionIds.systemCohort,
-  ] as const;
-  const cohortLabels = ['Library', 'Routing', 'Chip', 'System'];
-  const rankings: CollectiveXDataset['rankings'] = cohortMembers
-    .flatMap((members, cohortIndex) =>
-      metrics.map((metric, metricIndex) => ({
-        ranking_id: decisionIds.rankings[cohortIndex * metrics.length + metricIndex],
-        cohort_id: cohortIds[cohortIndex],
-        label: `${cohortLabels[cohortIndex]} ${metricLabel(metric)} T=128`,
-        publication_tier:
-          cohortIndex === 1 ? ('comparable-experimental' as const) : ('official' as const),
-        metric,
-        entries: members
-          .toSorted((left, right) => {
-            const delta = decisionMetricValue(left, metric) - decisionMetricValue(right, metric);
-            return metric.objective === 'min' ? delta : -delta;
-          })
-          .map((item, index) => ({
-            rank: index + 1,
-            series_id: item.series_id,
-            point_id: item.points[0].point_id,
-            value: decisionMetricValue(item, metric),
-            unit: metric.measure === 'latency_us' ? ('us' as const) : ('GB/s' as const),
-          })),
-        eligibility: makeEligibility(),
-      })),
-    )
-    .toSorted((left, right) => left.ranking_id.localeCompare(right.ranking_id));
-  const recommendations: CollectiveXDataset['recommendations'] = rankings
-    .filter(
-      (
-        ranking,
-      ): ranking is CollectiveXDataset['rankings'][number] & {
-        publication_tier: 'official';
-      } =>
-        ranking.publication_tier === 'official' &&
-        ranking.metric.measure === 'latency_us' &&
-        ranking.metric.statistic === 'p99',
-    )
-    .map((ranking) => {
-      const idIndex = cohortIds.indexOf(ranking.cohort_id as (typeof cohortIds)[number]);
-      const metricIndex = metrics.findIndex(
-        (metric) =>
-          metric.measure === ranking.metric.measure &&
-          metric.statistic === ranking.metric.statistic,
-      );
-      const top = ranking.entries[0];
-      return {
-        recommendation_id: decisionIds.recommendations[idIndex * metrics.length + metricIndex],
-        cohort_id: ranking.cohort_id,
-        label: `Best ${metricLabel(ranking.metric)} at T=128`,
-        objective: 'min-p99-latency' as const,
-        publication_tier: ranking.publication_tier,
-        series_id: top.series_id,
-        point_id: top.point_id,
-        value: top.value,
-        unit: top.unit,
-        rationale: 'Top stable measured roundtrip result in a controlled cohort',
-        eligibility: makeEligibility(),
-      };
-    })
-    .toSorted((left, right) => left.recommendation_id.localeCompare(right.recommendation_id));
-  const sensitivities: CollectiveXDataset['sensitivities'] = [routingVariant, routingEplbVariant]
-    .flatMap((candidate, candidateIndex) =>
-      metrics.map((metric, metricIndex) => ({
-        sensitivity_id: decisionIds.sensitivities[candidateIndex * metrics.length + metricIndex],
-        cohort_id: routingCohortId,
-        label: `Routing sensitivity: ${metricLabel(metric)} T=128`,
-        publication_tier: 'comparable-experimental' as const,
-        baseline_series_id: series[0].series_id,
-        candidate_series_id: candidate.series_id,
-        metric,
-        signed_change_ratio:
-          (decisionMetricValue(candidate, metric) - decisionMetricValue(series[0], metric)) /
-          decisionMetricValue(series[0], metric),
-        eligibility: makeEligibility(),
-      })),
-    )
-    .toSorted((left, right) => left.sensitivity_id.localeCompare(right.sensitivity_id));
-  const coverage = series.map((item) =>
-    seriesCoverage(
-      item,
-      attempts.filter((attempt) => attempt.case_id === item.case_ids[0]),
-    ),
-  );
-  coverage.push({
-    case_id: unsupportedCaseId,
-    label: 'MI355X / DeepEP / unsupported',
-    required: true,
-    disposition: 'unsupported',
-    sku: 'mi355x',
-    suite: 'ep-core-v1',
-    workload: 'deepseek-v3-v1',
-    publication_tier: 'official',
-    backend: 'deepep',
-    backend_generation: 'v1',
-    mode: 'normal',
-    phase: 'decode',
-    routing: 'uniform',
-    eplb: false,
-    precision_profile: 'd-bf16.c-bf16',
-    dispatch_precision: { ...bf16Precision },
-    combine_precision: { ...bf16Precision },
-    resource: {
-      mode: 'fixed-profile',
-      profile: null,
-      comm_units_kind: null,
-      configured_units: null,
-    },
-    topology: {
-      ep_size: 16,
-      nodes: 2,
-      gpus_per_node: 8,
-      scale_up_domain: 8,
-      scope: 'scale-out',
-      scale_up_transport: 'xgmi',
-      scale_out_transport: 'rdma',
-      transport: 'xgmi-rdma',
-      topology_class: 'mi355x-xgmi-rdma',
-    },
-    points: [
-      {
-        point_id: null,
-        series_id: null,
-        tokens_per_rank: 128,
-        global_tokens: 2048,
-        terminal_status: 'unsupported',
-        reason: 'backend-platform-unsupported',
-      },
-    ],
-    selected_attempt_id: unsupportedAttempts.at(-1)!.attempt_id,
-    outcome: 'unsupported',
-    failure_mode: 'capability',
-    reason: 'backend-platform-unsupported',
-    attempt_ids: unsupportedAttempts.map((attempt) => attempt.attempt_id),
-  });
-  const orderedAttempts = attempts.toSorted((left, right) =>
-    left.attempt_id.localeCompare(right.attempt_id),
-  );
+}
+
+export function makeRawMatrix(requested: RequestedCaseSpec[], version = 1): Json {
   return {
-    format: 'collectivex.public.v1',
+    format: 'collectivex.matrix.v1',
     schema_version: 1,
-    generated_at: '2026-07-04T01:00:00Z',
-    source_bundle_ids: ['a'.repeat(64)],
-    promotion: {
-      status: 'promoted',
-      matrix_id: '5'.repeat(64),
-      allocation_ids: [...allocations],
-      required_allocations: 1,
-      qualification_indices: [...qualificationIndices],
-      requested_cases: 8,
-      terminal_cases: 8,
-      measured_cases: 7,
-      unsupported_cases: 1,
-      requested_points: 8,
-      terminal_points: 8,
-      measured_points: 7,
-      unsupported_points: 1,
-      policy: 'collectivex-decision-grade-v1',
-      reason: null,
-    },
-    coverage,
-    attempts: orderedAttempts,
-    series,
-    cohorts: [
-      {
-        cohort_id: cohortId,
-        kind: 'library' as const,
-        label: 'H100 EP8 library comparison',
-        description: 'Matched H100 EP8 uniform-routing library contrast',
-        publication_tier: 'official' as const,
-        series_ids: series.slice(0, 2).map((item) => item.series_id),
-        controlled_factors: [
-          'system',
-          'workload',
-          'mode',
-          'phase',
-          'measurement',
-          'resource.mode',
-          'source',
-        ],
-        varying_factors: ['backend', 'resource'],
-        eligibility: makeEligibility(),
-      },
-      {
-        cohort_id: routingCohortId,
-        kind: 'routing' as const,
-        label: 'H100 EP8 routing comparison',
-        description: 'Matched H100 EP8 routing contrast',
-        publication_tier: 'comparable-experimental' as const,
-        series_ids: [series[0].series_id, routingVariant.series_id, routingEplbVariant.series_id],
-        controlled_factors: [
-          'backend',
-          'implementation-static-build',
-          'system',
-          'model-shape',
-          'mode',
-          'phase',
-          'measurement',
-          'resource',
-        ],
-        varying_factors: ['workload.routing', 'workload.eplb', 'implementation-config'],
-        eligibility: makeEligibility(),
-      },
-      {
-        cohort_id: decisionIds.chipCohort,
-        kind: 'chip' as const,
-        label: 'NVIDIA chip comparison',
-        description: 'Matched H100 and B200 DeepEP contrast',
-        publication_tier: 'official' as const,
-        series_ids: [series[0].series_id, chipVariant.series_id],
-        controlled_factors: [
-          'backend',
-          'source',
-          'workload',
-          'mode',
-          'phase',
-          'measurement',
-          'resource.mode',
-        ],
-        varying_factors: ['system', 'resource'],
-        eligibility: makeEligibility(),
-      },
-      {
-        cohort_id: decisionIds.systemCohort,
-        kind: 'system' as const,
-        label: 'NVIDIA reference system comparison',
-        description: 'Matched H100 and B200 NCCL reference contrast',
-        publication_tier: 'official' as const,
-        series_ids: [series[2].series_id, systemVariant.series_id],
-        controlled_factors: ['workload', 'mode', 'phase', 'measurement', 'source'],
-        varying_factors: ['system', 'backend', 'resource'],
-        eligibility: makeEligibility(),
-      },
-    ].toSorted((left, right) => left.cohort_id.localeCompare(right.cohort_id)),
-    rankings,
-    recommendations,
-    sensitivities,
+    version,
+    include: [],
+    requested_cases: requested.map((entry) => ({
+      case: entry.case,
+      sku: entry.sku,
+      disposition: entry.disposition ?? 'runnable',
+    })),
   };
 }
 
-export function makeCollectiveXDatasetWithPrefillCohort(): CollectiveXDataset {
-  const dataset = makeCollectiveXDataset();
-  const decode = dataset.cohorts.find((item) => item.cohort_id === decisionIds.libraryCohort)!;
-  const byId = new Map(dataset.series.map((item) => [item.series_id, item]));
-  const prefill = decode.series_ids.map((seriesId, index) => {
-    const item = structuredClone(byId.get(seriesId)!);
-    item.series_id = fixtureId('series', 20 + index);
-    item.case_ids = [fixtureId('case', 20 + index)];
-    item.label = item.label.replace('uniform', 'uniform prefill');
-    item.phase = 'prefill';
-    item.points[0].point_id = fixtureId('point', 20 + index);
-    item.points[0].tokens_per_rank = 512;
-    item.points[0].global_tokens = 4096;
-    item.points[0].evidence_ids = allocations.map((_, allocationIndex) =>
-      fixtureId('evidence', 200 + index * 10 + allocationIndex),
-    );
-    return item;
-  });
-  dataset.series.push(...prefill);
-  const prefillCohort = {
-    ...structuredClone(decode),
-    cohort_id: fixtureId('cohort', 20),
-    label: 'H100 EP8 prefill library comparison',
-    description: 'Matched H100 EP8 prefill library contrast',
-    series_ids: prefill.map((item) => item.series_id),
+export function makeRunMeta(
+  overrides: Partial<CollectiveXNeutralRunMeta> = {},
+): CollectiveXNeutralRunMeta {
+  return {
+    run_id: '160',
+    run_attempt: 1,
+    generated_at: '2026-07-08T12:20:00Z',
+    conclusion: 'success',
+    matrix_id: 'matrix-160',
+    source_bundle_ids: ['cxshard-h200', 'cxmatrix-160'],
+    ...overrides,
   };
-  dataset.cohorts.push(prefillCohort);
-  for (const [index, item] of prefill.entries()) {
-    const retained = successfulAttempts(item, 20 + index);
-    dataset.attempts.push(...retained);
-    dataset.coverage.push(seriesCoverage(item, retained));
-  }
-  const decodeRankings = dataset.rankings.filter((item) => item.cohort_id === decode.cohort_id);
-  const prefillRankings = decodeRankings.map((ranking, index) => {
-    const metric = { ...ranking.metric, tokens_per_rank: 512, phase: 'prefill' as const };
-    return {
-      ...structuredClone(ranking),
-      ranking_id: fixtureId('ranking', 100 + index),
-      cohort_id: prefillCohort.cohort_id,
-      label: ranking.label.replace('T=128', 'T=512').replace('Library', 'Prefill library'),
-      metric,
-      entries: prefill
-        .toSorted((left, right) => {
-          const delta = decisionMetricValue(left, metric) - decisionMetricValue(right, metric);
-          return metric.objective === 'min' ? delta : -delta;
-        })
-        .map((item, entryIndex) => ({
-          rank: entryIndex + 1,
-          series_id: item.series_id,
-          point_id: item.points[0].point_id,
-          value: decisionMetricValue(item, metric),
-          unit: metric.measure === 'latency_us' ? ('us' as const) : ('GB/s' as const),
-        })),
-    };
-  });
-  dataset.rankings.push(...prefillRankings);
-  dataset.recommendations.push(
-    ...prefillRankings
-      .filter(
-        (ranking) => ranking.metric.measure === 'latency_us' && ranking.metric.statistic === 'p99',
-      )
-      .map((ranking, index) => {
-        const top = ranking.entries[0];
-        return {
-          recommendation_id: fixtureId('recommendation', 100 + index),
-          cohort_id: prefillCohort.cohort_id,
-          label: `Best ${metricLabel(ranking.metric)} at T=512`,
-          objective: 'min-p99-latency' as const,
-          publication_tier: 'official' as const,
-          series_id: top.series_id,
-          point_id: top.point_id,
-          value: top.value,
-          unit: top.unit,
-          rationale: 'Top stable measured roundtrip result in a controlled cohort',
-          eligibility: makeEligibility(),
-        };
-      }),
-  );
-  dataset.promotion.requested_cases += prefill.length;
-  dataset.promotion.terminal_cases += prefill.length;
-  dataset.promotion.measured_cases += prefill.length;
-  dataset.promotion.requested_points += prefill.length;
-  dataset.promotion.terminal_points += prefill.length;
-  dataset.promotion.measured_points += prefill.length;
-  return dataset;
 }
 
-export function makeCollectiveXContractDataset(): CollectiveXDataset {
-  const dataset = makeCollectiveXDataset();
-  const series = makeSeries(30, 'deepep', 60, { mode: 'low-latency', epSize: 16 });
-  const attempts = successfulAttempts(series, 30);
-  dataset.series.push(series);
-  dataset.attempts.push(...attempts);
-  dataset.coverage.push(seriesCoverage(series, attempts));
-  dataset.promotion.requested_cases += 1;
-  dataset.promotion.terminal_cases += 1;
-  dataset.promotion.measured_cases += 1;
-  dataset.promotion.requested_points += 1;
-  dataset.promotion.terminal_points += 1;
-  dataset.promotion.measured_points += 1;
-  return dataset;
+export interface BuildDatasetOptions {
+  shards?: Json[];
+  terminals?: Json[];
+  // Extra requested cases beyond those derived from the shards (e.g. a pending case).
+  requestedCases?: RequestedCaseSpec[];
+  meta?: Partial<CollectiveXNeutralRunMeta>;
 }
 
-export function makeCollectiveXDiagnosticDataset(): CollectiveXDataset {
-  const dataset = makeCollectiveXDataset();
-  const series = dataset.series.find((item) => item.backend.role === 'reference')!;
-  series.status = 'diagnostic';
-  const allocationId = series.allocation_ids[0];
-  const evidenceId = series.points[0].evidence_ids[0];
-  series.allocation_ids = [allocationId];
-  series.points[0].evidence_ids = [evidenceId];
-  series.measurement.qualification_indices = [1];
-  series.eligibility = {
-    decision_grade: false,
-    allocation_ids: [allocationId],
-    complete: false,
-    correct: true,
-    measured_roundtrip_p99: true,
-    stable_ordering: false,
-    reasons: ['incomplete-repeat-coverage'],
-  };
-  const attempt = dataset.attempts.find(
-    (item) => item.series_id === series.series_id && item.allocation_id === allocationId,
-  )!;
-  attempt.attempt_id = attemptId(3, 1, 2);
-  attempt.attempt_index = 2;
-  const failedAttempt: CollectiveXAttempt = {
-    attempt_id: attemptId(3, 1, 1),
-    evidence: [],
-    case_id: attempt.case_id,
-    allocation_id: attempt.allocation_id,
-    run_id: attempt.run_id,
-    run_attempt: attempt.run_attempt,
-    qualification_index: attempt.qualification_index,
-    attempt_index: 1,
-    outcome: 'failed',
-    failure_mode: 'timeout',
-    reason: 'execution-timeout',
-    series_id: null,
-    selected: false,
-    completed_at: '2026-07-04T00:00:30Z',
-  };
-  const coverage = dataset.coverage.find((item) => item.case_id === series.case_ids[0])!;
-  coverage.attempt_ids = [failedAttempt.attempt_id, attempt.attempt_id].toSorted();
-  coverage.selected_attempt_id = attempt.attempt_id;
-  dataset.promotion = {
-    ...dataset.promotion,
-    status: 'diagnostic',
-    allocation_ids: [allocationId],
-    qualification_indices: [1],
-    requested_cases: 1,
-    terminal_cases: 1,
-    measured_cases: 1,
-    unsupported_cases: 0,
-    requested_points: 1,
-    terminal_points: 1,
-    measured_points: 1,
-    unsupported_points: 0,
-  };
-  dataset.source_bundle_ids = [dataset.source_bundle_ids[0]];
-  dataset.coverage = [coverage];
-  dataset.attempts = [failedAttempt, attempt].toSorted((left, right) =>
-    left.attempt_id.localeCompare(right.attempt_id),
-  );
-  dataset.series = [series];
-  dataset.cohorts = [];
-  dataset.rankings = [];
-  dataset.recommendations = [];
-  dataset.sensitivities = [];
-  return dataset;
+// Assemble a view dataset through the real neutral → view builder. Requested matrix
+// cases default to one runnable case per shard so measured coverage is populated.
+export function buildDataset(options: BuildDatasetOptions = {}): CollectiveXDataset {
+  const shards = options.shards ?? [makeRawShard()];
+  const terminals = options.terminals ?? [];
+  const requested = [...shards.map(requestedFromShard), ...(options.requestedCases ?? [])];
+  const matrix = makeRawMatrix(requested);
+  return buildDatasetFromNeutral(matrix, [...shards, ...terminals], makeRunMeta(options.meta));
 }
 
-export function makeCollectiveXDatasetWithDiagnosticCohort(): CollectiveXDataset {
-  const dataset = makeCollectiveXDataset();
-  const eligible = dataset.cohorts.find((item) => item.kind === 'library')!;
-  const cohort = {
-    ...eligible,
-    cohort_id: decisionIds.diagnosticLibraryCohort,
-    series_ids: eligible.series_ids.toReversed(),
-    eligibility: {
-      ...eligible.eligibility,
-      decision_grade: false,
-      stable_ordering: false,
-      reasons: ['unstable-ordering'],
-    },
-  };
-  dataset.cohorts.push(cohort);
-  dataset.cohorts.sort((left, right) => left.cohort_id.localeCompare(right.cohort_id));
-  return dataset;
+// A single view series, assembled from one measured shard.
+export function makeCollectiveXSeries(overrides: ShardOverrides = {}): CollectiveXSeries {
+  return buildDataset({ shards: [makeRawShard(overrides)] }).series[0];
 }
 
-export function makeCollectiveXDatasetWithPrecisionCohorts(): CollectiveXDataset {
-  const dataset = makeCollectiveXDataset();
-  const routing = dataset.cohorts.find((item) => item.kind === 'routing')!;
-  const routingRankings = dataset.rankings.filter((item) => item.cohort_id === routing.cohort_id);
-  const routingSensitivity = dataset.sensitivities.find(
-    (item) => item.cohort_id === routing.cohort_id,
-  )!;
-  const kinds = ['dispatch-precision', 'combine-precision', 'precision-pair'] as const;
-  for (const [index, kind] of kinds.entries()) {
-    const cohortId = fixtureId('cohort', 100 + index);
-    dataset.cohorts.push({
-      ...structuredClone(routing),
-      cohort_id: cohortId,
-      kind,
-      label: `${kind} / normal / fixture comparison`,
-      description: `Publisher-declared ${kind} comparison`,
-      controlled_factors:
-        kind === 'dispatch-precision'
-          ? ['system', 'combine-precision']
-          : kind === 'combine-precision'
-            ? ['system', 'dispatch-precision']
-            : ['system'],
-      varying_factors:
-        kind === 'precision-pair'
-          ? ['dispatch-precision', 'combine-precision', 'precision-profile']
-          : [kind],
-    });
-    if (kind !== 'precision-pair') {
-      dataset.rankings.push(
-        ...routingRankings.map((ranking, rankingIndex) => ({
-          ...structuredClone(ranking),
-          ranking_id: fixtureId('ranking', 200 + index * 10 + rankingIndex),
-          cohort_id: cohortId,
-          label: `${kind} publisher ranking`,
-        })),
-      );
-      dataset.sensitivities.push({
-        ...structuredClone(routingSensitivity),
-        sensitivity_id: fixtureId('sensitivity', 100 + index),
-        cohort_id: cohortId,
-        label: `${kind} publisher sensitivity`,
-      });
-    }
-  }
-  return dataset;
-}
+// Canonical multi-series dataset: two measured series (scale-up EP8 + scale-out EP16),
+// one unsupported terminal case, and one pending case. Exercises series/coverage/attempt
+// assembly plus every terminal disposition the run summary counts.
+export function makeCollectiveXDataset(): CollectiveXDataset {
+  const shardA = makeRawShard({ backend: 'nccl-ep', ep: 8 });
+  const shardB = makeRawShard({
+    sku: 'h200-dgxc',
+    backend: 'deepep',
+    implName: 'deepep',
+    deepepVersion: '2.1',
+    backendLineage: 'deepep-v2',
+    ep: 16,
+    scope: 'scale-out',
+    scaleOutTransport: 'rdma',
+    transport: 'rdma',
+    topologyClass: 'multi-node',
+    nodes: 2,
+    gpusPerNode: 8,
+    scaleUpDomain: 8,
+  });
 
-export function makeCollectiveXInventoryDataset(): CollectiveXDataset {
-  const dataset = makeCollectiveXDataset();
-  const unsupported = dataset.coverage.find((item) => item.disposition === 'unsupported');
-  if (!unsupported) throw new Error('Inventory fixture requires an unsupported case');
-  unsupported.label = unsupported.label.replace('BF16', 'FP8 dispatch');
-  unsupported.precision_profile = 'd-fp8-e4m3fn-b128-f32-prequantized.c-bf16';
-  unsupported.dispatch_precision = {
-    alignment_contract: 'hidden-block-128',
-    api_input_dtype: 'fp8-e4m3fn-with-f32-scale',
-    api_output_dtype: 'fp8-e4m3fn-with-f32-scale',
-    communication_format: 'fp8-e4m3fn',
-    conversion_boundary: 'before-dispatch-timing',
-    padding_contract: 'right-zero-pad-hidden-to-128',
-    quantization_origin: 'caller-prequantized',
-    scale_dtype: 'f32',
-    scale_group_size: 128,
-    scale_layout: 'per-token-hidden-block',
+  const unsupportedCaseId = 'b300-sxm-deepep-hybrid-deepseek-v3-normal-decode-ep8-uniform';
+  const unsupported = makeRawTerminal({
+    caseId: unsupportedCaseId,
+    sku: 'b300-sxm',
+    status: 'unsupported',
+    reason: 'capability-gate',
+  });
+  const unsupportedCase: RequestedCaseSpec = {
+    caseId: unsupportedCaseId,
+    sku: 'b300-sxm',
+    disposition: 'unsupported',
+    case: makeRawCase(
+      { backend: 'deepep-hybrid', sku: 'b300-sxm', nodes: 1, gpusPerNode: 8 },
+      unsupportedCaseId,
+    ),
   };
-  return dataset;
+
+  const pendingCaseId = 'mi355x-oam-deepep-deepseek-v3-normal-decode-ep8-uniform';
+  const pendingCase: RequestedCaseSpec = {
+    caseId: pendingCaseId,
+    sku: 'mi355x-oam',
+    disposition: 'runnable',
+    case: makeRawCase(
+      { backend: 'deepep', sku: 'mi355x-oam', nodes: 1, gpusPerNode: 8 },
+      pendingCaseId,
+    ),
+  };
+
+  return buildDataset({
+    shards: [shardA, shardB],
+    terminals: [unsupported],
+    requestedCases: [unsupportedCase, pendingCase],
+  });
 }
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
index ca5ff3120..511b9ed54 100644
--- a/packages/app/src/components/collectivex/types.ts
+++ b/packages/app/src/components/collectivex/types.ts
@@ -2,9 +2,9 @@ import { z } from 'zod';
 
 export type CollectiveXPhase = 'decode' | 'prefill';
 // The release version is a numeric, incrementable identity (1, 2, 3, ...), matching
-// the backend release marker's "version": N and the cxpublication-<N>-* artifact name.
-// It is NOT the frozen data-format literal "v1" (collectivex.public.v1, cx*-v1-*,
-// collectivex_public_v1_*.ndjson), which is schema-version and shared across releases.
+// the backend release marker's "version": N. It is NOT the frozen data-format literal
+// "v1" (cx*-v1-* ids, collectivex.*.v1 formats), which is the schema-version shared
+// across releases. The neutral MVP backend only emits schema_version 1.
 export const COLLECTIVEX_VERSIONS = [1] as const;
 export type CollectiveXVersion = (typeof COLLECTIVEX_VERSIONS)[number];
 export const COLLECTIVEX_DEFAULT_VERSION: CollectiveXVersion = Math.max(
@@ -30,9 +30,22 @@ export type CollectiveXYAxis =
   | 'total-logical-rate';
 export type CollectiveXScale = 'log' | 'linear';
 
+// ---------------------------------------------------------------------------
+// Shared primitives
+// ---------------------------------------------------------------------------
 const hex64 = z.string().regex(/^[a-f0-9]{64}$/);
 const sourceHash = z.string().regex(/^[a-f0-9]{40,64}$/);
-const typedId = (kind: string) => z.string().regex(new RegExp(`^cx${kind}-v1-[a-f0-9]{64}$`));
+// Accepts either the legacy content-hash id (`cx<kind>-v1-<hex64>`, still emitted by
+// the promotion-era artifacts the fixtures use) or the neutral MVP backend's
+// human-readable qualification id (e.g. `h200-dgxc-nccl-ep-deepseek-v3-normal-decode-
+// ep8-uniform-2abdb08869ae`, `…-a01`, `…-t1`). Both are globally unique; the human form
+// carries its own qualification-hash suffix. Kept as one helper so every id field keeps
+// a single, consistent contract.
+const typedId = (kind: string) =>
+  z
+    .string()
+    .max(200)
+    .regex(new RegExp(`^(?:cx${kind}-v1-[a-f0-9]{64}|[a-z0-9][a-z0-9_.-]*)$`));
 const safeId = z
   .string()
   .max(128)
@@ -46,9 +59,11 @@ const reason = reasonId.nullable();
 const timestamp = z.iso.datetime({ offset: true });
 const positiveInteger = z.number().int().safe().positive();
 const nonnegativeInteger = z.number().int().safe().nonnegative();
-const publicationTier = z.enum(['official', 'comparable-experimental']);
+const runId = z.string().regex(/^[1-9][0-9]*$/);
 const mode = z.enum(['normal', 'low-latency']);
 const topologyScope = z.enum(['scale-up', 'scale-out']);
+const routingKind = z.enum(['uniform', 'zipf']);
+const phase = z.enum(['decode', 'prefill']);
 const unique = <T>(schema: z.ZodType<T>) =>
   z.array(schema).refine((items) => new Set(items).size === items.length, 'duplicate values');
 const canonicalJson = (value: unknown): string =>
@@ -68,38 +83,6 @@ const uniqueObjects = <T>(schema: z.ZodType<T>) =>
     .array(schema)
     .refine((items) => new Set(items.map(canonicalJson)).size === items.length, 'duplicate values');
 
-export const collectiveXChannelSchema = z.strictObject({
-  format: z.literal('collectivex.channel.v1'),
-  channel: z.literal('dev-latest'),
-  generated_at: timestamp,
-  dataset: z.strictObject({
-    path: z.string().regex(/^datasets\/[a-f0-9]{64}\/dataset\.json$/),
-    sha256: hex64,
-    bytes: positiveInteger.max(32 * 1024 * 1024),
-  }),
-});
-
-// JIT listing of the eligible ("tagged + success") publication runs for a
-// version, backing the frontend multi-run picker. `collectivex.runs.v1` is a
-// frozen data-format literal (the shared schema-version, not the release).
-export const collectiveXRunSummarySchema = z.strictObject({
-  run_id: z.string().regex(/^[1-9][0-9]*$/),
-  run_attempt: positiveInteger,
-  head_sha: z.string().regex(/^[a-f0-9]{40}$/),
-  digest: hex64,
-  generated_at: timestamp,
-  coverage_scope: z.enum(['full', 'partial']),
-  covered_skus: unique(safeId),
-  bytes: positiveInteger.max(32 * 1024 * 1024),
-});
-export const collectiveXRunsSchema = z.strictObject({
-  format: z.literal('collectivex.runs.v1'),
-  version: positiveInteger,
-  runs: z.array(collectiveXRunSummarySchema),
-});
-export type CollectiveXRunSummary = z.infer<typeof collectiveXRunSummarySchema>;
-export type CollectiveXRuns = z.infer<typeof collectiveXRunsSchema>;
-
 const percentilesSchema = z.strictObject({
   p50: z.number().finite().positive(),
   p90: z.number().finite().positive(),
@@ -115,155 +98,62 @@ const ratePercentilesSchema = z.strictObject({
   p95: z.number().finite().nonnegative(),
   p99: z.number().finite().nonnegative(),
 });
-const communicationAxisSchema = z.strictObject({
-  alignment_contract: z.enum([
-    'native-bf16-vector-alignment',
-    'hidden-block-128',
-    'native-fp8-vector-alignment',
-    'value-block-64',
-  ]),
-  api_input_dtype: z.enum(['bf16', 'fp8-e4m3fn-with-f32-scale', 'fp8-e4m3fnuz-with-f32-scale']),
-  api_output_dtype: z.enum(['bf16', 'fp8-e4m3fn-with-f32-scale', 'fp8-e4m3fnuz-with-f32-scale']),
-  communication_format: z.enum(['bf16', 'fp8-e4m3fn', 'fp8-e4m3fnuz', 'logfmt10']),
-  conversion_boundary: z.enum([
-    'none',
-    'before-dispatch-timing',
-    'inside-dispatch-timing',
-    'inside-combine-timing',
-  ]),
-  padding_contract: z.enum(['none', 'right-zero-pad-hidden-to-128', 'right-zero-pad-values-to-64']),
-  quantization_origin: z.enum([
-    'none',
-    'caller-prequantized',
-    'backend-fused',
-    'backend-internal',
-    'backend-internal-direct-cast',
-  ]),
-  scale_dtype: z.enum(['f32', 'implicit-logfmt10']).nullable(),
-  scale_group_size: z.union([z.literal(64), z.literal(128)]).nullable(),
-  scale_layout: z.enum(['none', 'per-token-hidden-block', 'dynamic-per-64-values']),
-});
-const precisionProfileSchema = z.enum([
-  'd-bf16.c-bf16',
-  'd-fp8-e4m3fn-b128-f32-prequantized.c-bf16',
-  'd-fp8-e4m3fnuz-b128-f32-prequantized.c-bf16',
-  'd-fp8-e4m3fn-b128-f32-fused.c-bf16',
-  'd-bf16.c-logfmt10-dynamic64',
-  'd-fp8-e4m3fn-b128-f32-fused.c-logfmt10-dynamic64',
-  'd-bf16.c-fp8-e4m3fn-direct-cast-noscale',
-  'd-fp8-e4m3fn-b128-f32-prequantized.c-fp8-e4m3fn-direct-cast-noscale',
-  'd-bf16.c-fp8-e4m3fnuz-direct-cast-noscale',
-  'd-fp8-e4m3fnuz-b128-f32-prequantized.c-fp8-e4m3fnuz-direct-cast-noscale',
-]);
 const byteAccountingSchema = z.strictObject({
   accounting_contract: z.literal('activation-data-plus-scales-v1'),
   activation_data_bytes: nonnegativeInteger,
   scale_bytes: nonnegativeInteger,
   total_logical_bytes: nonnegativeInteger,
 });
-const componentSchema = z
-  .strictObject({
-    origin: z.enum(['measured', 'derived']),
-    latency_us: percentilesSchema,
-    byte_provenance: byteAccountingSchema,
-    activation_data_rate_gbps_at_latency_percentile: ratePercentilesSchema.nullable(),
-    total_logical_data_rate_gbps_at_latency_percentile: ratePercentilesSchema.nullable(),
-    sample_count: positiveInteger.nullable(),
-  })
-  .superRefine((value, context) => {
-    if (value.origin === 'measured' && value.sample_count !== 512) {
-      context.addIssue({
-        code: 'custom',
-        path: ['sample_count'],
-        message: 'measured components require exactly 512 samples',
-      });
-    }
-    if (value.origin === 'derived' && value.sample_count !== null) {
-      context.addIssue({
-        code: 'custom',
-        path: ['sample_count'],
-        message: 'derived components require a null sample count',
-      });
-    }
-  });
-const routingEvidenceSchema = z.strictObject({
+// The neutral shard carries only dtype/quant/semantics per communication axis —
+// the promotion-era 9-field communication axis and precision-profile enum are gone.
+const precisionAxisSchema = z.strictObject({
+  communication_format: safeId,
+  quant_mode: safeId,
+  semantics: safeId,
+});
+
+const outcome = z.enum(['success', 'unsupported', 'failed', 'invalid', 'diagnostic', 'pending']);
+const terminalStatus = z.enum([
+  'measured',
+  'unsupported',
+  'failed',
+  'invalid',
+  'diagnostic',
+  'pending',
+]);
+
+// ---------------------------------------------------------------------------
+// View model — series / points / components
+//
+// Reshaped-in-place from the retired promoted dataset: the same series → points →
+// components shape the chart/tables/inventory render, but every field is now something
+// the neutral cxshard/matrix artifacts actually carry (plus data rates the reader
+// derives from byte_provenance ÷ latency). No promotion, ranking, or eligibility layer.
+// ---------------------------------------------------------------------------
+const componentSchema = z.strictObject({
+  origin: z.enum(['measured', 'derived']),
+  latency_us: percentilesSchema,
+  // null for derived components (isolated_sum) — no byte accounting exists.
+  byte_provenance: byteAccountingSchema.nullable(),
+  activation_data_rate_gbps_at_latency_percentile: ratePercentilesSchema.nullable(),
+  total_logical_data_rate_gbps_at_latency_percentile: ratePercentilesSchema.nullable(),
+  sample_count: nonnegativeInteger.nullable(),
+});
+const routingSchema = z.strictObject({
   fanout_mean: z.number().finite().nonnegative(),
+  routed_copies: nonnegativeInteger,
   recv_tokens_max: nonnegativeInteger,
   expert_load_cv: z.number().finite().nonnegative(),
   payload_rank_cv: z.number().finite().nonnegative(),
   hotspot_ratio: z.number().finite().nonnegative(),
   empty_expert_count: nonnegativeInteger,
   empty_rank_count: nonnegativeInteger,
-  routed_copies: positiveInteger,
-});
-const precisionAxisEvidenceSchema = z.strictObject({
-  dequantized_semantics: z.boolean(),
-  encoded_payload_valid: z.boolean(),
-  max_abs_error: z.number().finite().nonnegative(),
-  max_rel_error: z.number().finite().nonnegative(),
-  passed: z.boolean(),
-  saturation_count: nonnegativeInteger,
-  saturation_rate: z.number().finite().min(0).max(1),
-  scales_finite: z.boolean().nullable(),
-  scales_positive: z.boolean().nullable(),
 });
 const pointCorrectnessSchema = z.strictObject({
-  semantic_pass: z.boolean(),
-  precision: z.strictObject({
-    combine: precisionAxisEvidenceSchema,
-    dispatch: precisionAxisEvidenceSchema,
-    passed: z.boolean(),
-    profile_id: precisionProfileSchema,
-  }),
-});
-const qualificationIndex = z.union([z.literal(1), z.literal(2), z.literal(3)]);
-const trialDiagnosticComponentSchema = z.strictObject({
-  drift_flagged: z.boolean(),
-  first_last_median_ratio: z.number().finite().min(1),
-  outlier_flagged: z.boolean(),
-  robust_outlier_fraction: z.number().finite().min(0).max(1),
-  trial_count: z.literal(64),
-});
-const trialDiagnosticsSchema = z
-  .strictObject({
-    flagged: z.boolean(),
-    reasons: unique(z.enum(['trial-drift', 'trial-outliers'])).max(2),
-    components: z.strictObject({
-      dispatch: trialDiagnosticComponentSchema.nullable(),
-      stage: trialDiagnosticComponentSchema.nullable(),
-      combine: trialDiagnosticComponentSchema.nullable(),
-      roundtrip: trialDiagnosticComponentSchema.nullable(),
-    }),
-  })
-  .refine((value) => value.flagged === value.reasons.length > 0, {
-    path: ['reasons'],
-    message: 'trial diagnostic reasons must be present exactly when flagged',
-  });
-const eligibilitySchema = z
-  .strictObject({
-    decision_grade: z.boolean(),
-    allocation_ids: unique(typedId('allocation')),
-    complete: z.boolean(),
-    correct: z.boolean(),
-    measured_roundtrip_p99: z.boolean(),
-    stable_ordering: z.boolean(),
-    reasons: unique(reason.unwrap()),
-  })
-  .refine((value) => value.decision_grade === (value.reasons.length === 0), {
-    path: ['reasons'],
-    message:
-      'decision-grade eligibility must have no reasons; diagnostic eligibility must have reasons',
-  });
-const coverageTopologySchema = z.strictObject({
-  ep_size: positiveInteger,
-  nodes: positiveInteger,
-  gpus_per_node: positiveInteger,
-  scale_up_domain: positiveInteger,
-  scope: topologyScope,
-  scale_up_transport: safeId,
-  scale_out_transport: safeId.nullable(),
-  transport: safeId,
-  topology_class: safeId,
+  passed: z.boolean(),
+  max_relative_error: z.number().finite().nonnegative(),
+  contract: safeId,
+  scope: safeId,
 });
 const pointSchema = z.strictObject({
   point_id: typedId('point'),
@@ -271,8 +161,7 @@ const pointSchema = z.strictObject({
   global_tokens: positiveInteger,
   anomalies: unique(reasonId).max(16),
   correctness: pointCorrectnessSchema,
-  trial_diagnostics: trialDiagnosticsSchema,
-  routing: routingEvidenceSchema,
+  routing: routingSchema,
   components: z.strictObject({
     dispatch: componentSchema.nullable(),
     stage: componentSchema.nullable(),
@@ -280,32 +169,24 @@ const pointSchema = z.strictObject({
     roundtrip: componentSchema.nullable(),
     isolated_sum: componentSchema.nullable(),
   }),
-  roundtrip_token_rate_at_latency_percentile: percentilesSchema,
-  evidence_ids: unique(typedId('evidence')).min(1).max(3),
+  roundtrip_token_rate_at_latency_percentile: ratePercentilesSchema,
+  evidence_ids: unique(typedId('evidence')).min(1),
 });
 const seriesSchema = z.strictObject({
   series_id: typedId('series'),
   label,
-  status: z.enum(['decision-grade', 'diagnostic']),
-  case_ids: unique(typedId('case')).min(1),
   allocation_ids: unique(typedId('allocation')).min(1),
   model: safeId,
   suite: safeId,
   mode,
-  publication_tier: publicationTier,
-  phase: z.enum(['decode', 'prefill']),
+  phase,
   backend: z.strictObject({
     id: safeId,
     label,
-    role: z.enum(['library', 'reference']),
     generation: label.nullable(),
     version: label.nullable(),
   }),
   build: z.strictObject({
-    implementation_contract_sha256: hex64,
-    public_config_sha256: hex64,
-    routing_control_sha256: hex64,
-    runtime_fingerprint_sha256: hex64,
     image_digest: z.string().regex(/^sha256:[a-f0-9]{64}$/),
     source_sha: sourceHash,
     squash_sha256: hex64,
@@ -324,88 +205,73 @@ const seriesSchema = z.strictObject({
     scale_up_domain: positiveInteger,
     world_size: positiveInteger,
     ep_size: positiveInteger,
-    placement: z.literal('packed'),
+    placement: safeId,
   }),
   workload: z.strictObject({
     workload_id: typedId('work'),
     hidden: positiveInteger,
     top_k: positiveInteger,
     experts: positiveInteger,
-    routing: z.enum(['uniform', 'zipf']),
+    routing: routingKind,
     eplb: z.boolean(),
-    precision_profile: precisionProfileSchema,
-    dispatch_precision: communicationAxisSchema,
-    combine_precision: communicationAxisSchema,
-    activation_profile: z.literal('canonical-counter-source-v4'),
+    precision_profile: safeId,
+    dispatch_precision: precisionAxisSchema,
+    combine_precision: precisionAxisSchema,
+    activation_profile: safeId,
+  }),
+  eplb: z.strictObject({
+    enabled: z.boolean(),
+    planner: label.nullable(),
+    logical_experts: positiveInteger,
+    physical_experts: positiveInteger.nullable(),
+    redundant_experts: nonnegativeInteger,
+    reference_tokens_per_rank: positiveInteger.nullable(),
+    replicated_experts: nonnegativeInteger.nullable(),
+    max_replicas: nonnegativeInteger.nullable(),
+    imbalance_before: z.number().finite().nonnegative().nullable(),
+    imbalance_after: z.number().finite().nonnegative().nullable(),
+    mapping_sha256: hex64.nullable(),
   }),
-  eplb: z
-    .strictObject({
-      enabled: z.boolean(),
-      calibration_workload_id: typedId('work').nullable(),
-      calibration_trace_sha256: hex64.nullable(),
-      calibration_window: z.literal('collectivex-eplb-calibration-window-v1').nullable(),
-      calibration_token_offset: nonnegativeInteger.nullable(),
-      planner: label.nullable(),
-      mapping_sha256: hex64.nullable(),
-      logical_experts: positiveInteger,
-      physical_experts: positiveInteger,
-      redundant_experts: nonnegativeInteger,
-      reference_tokens_per_rank: positiveInteger.nullable(),
-      replicated_experts: nonnegativeInteger,
-      max_replicas: nonnegativeInteger.nullable(),
-      imbalance_before: z.number().finite().nonnegative().nullable(),
-      imbalance_after: z.number().finite().nonnegative().nullable(),
-    })
-    .superRefine((value, context) => {
-      const calibration = [
-        value.calibration_workload_id,
-        value.calibration_trace_sha256,
-        value.calibration_window,
-        value.calibration_token_offset,
-      ];
-      if (
-        value.enabled
-          ? calibration.some((item) => item === null)
-          : calibration.some((item) => item !== null)
-      ) {
-        context.addIssue({
-          code: 'custom',
-          path: ['calibration_workload_id'],
-          message: 'EPLB calibration fields must be present exactly when EPLB is enabled',
-        });
-      }
-    }),
   resource: z.strictObject({
-    mode: z.literal('fixed-profile'),
+    mode: safeId,
     profile: safeId,
     comm_units_kind: label.nullable(),
     configured_units: positiveInteger.nullable(),
   }),
   measurement: z.strictObject({
-    contract: z.enum(['layout-and-dispatch-v1', 'expert-packed-weighted-combine-v1']),
-    component_order_contract: z.literal('qualification-hash-rotated-components-v1'),
-    combine_semantics: z.enum(['activation-only', 'gate-weighted']),
-    payload_unit: z.enum(['token-rank', 'token-expert']),
-    sampling_contract: z.literal('fixed-512-v1'),
-    iters: z.literal(8),
-    trials: z.literal(64),
-    warmups: z.literal(32),
-    samples_per_component: z.literal(512),
-    qualification_indices: unique(qualificationIndex).min(1).max(3),
-    headline_component: z.literal('roundtrip'),
-    headline_percentile: z.literal('p99'),
+    contract: safeId,
+    combine_semantics: safeId,
+    payload_unit: safeId,
+    iters: positiveInteger,
+    trials: positiveInteger,
+    warmups: nonnegativeInteger,
+    samples_per_component: positiveInteger,
   }),
   points: z.array(pointSchema).min(1),
-  eligibility: eligibilitySchema,
 });
-const outcome = z.enum(['success', 'unsupported', 'failed', 'invalid', 'diagnostic']);
+
+// ---------------------------------------------------------------------------
+// View model — coverage / attempts (one coverage row per requested matrix case)
+// ---------------------------------------------------------------------------
 const coverageResourceSchema = z.strictObject({
-  mode: z.literal('fixed-profile'),
+  // All nullable: unsupported/pending cases carry no resource profile (that lives
+  // only in a measured shard); measured coverage rows fill it from the shard.
+  mode: safeId.nullable(),
   profile: safeId.nullable(),
   comm_units_kind: label.nullable(),
   configured_units: positiveInteger.nullable(),
 });
-const terminalStatus = z.enum(['measured', 'unsupported', 'failed', 'invalid', 'diagnostic']);
+const coverageTopologySchema = z.strictObject({
+  ep_size: positiveInteger,
+  nodes: positiveInteger,
+  gpus_per_node: positiveInteger,
+  scale_up_domain: positiveInteger,
+  scope: topologyScope,
+  scale_up_transport: safeId,
+  scale_out_transport: safeId.nullable(),
+  transport: safeId,
+  topology_class: safeId,
+});
 const coveragePointSchema = z
   .strictObject({
     point_id: typedId('point').nullable(),
@@ -416,48 +282,50 @@ const coveragePointSchema = z
     reason,
   })
   .superRefine((value, context) => {
-    if (
-      (value.terminal_status === 'measured' &&
-        (value.point_id === null || value.series_id === null)) ||
-      (value.terminal_status === 'unsupported' &&
-        (value.point_id !== null || value.series_id !== null))
-    ) {
+    const measured = value.terminal_status === 'measured';
+    if (measured && (value.point_id === null || value.series_id === null)) {
+      context.addIssue({
+        code: 'custom',
+        path: ['point_id'],
+        message: 'measured points require point/series references',
+      });
+    }
+    if (!measured && (value.point_id !== null || value.series_id !== null)) {
       context.addIssue({
         code: 'custom',
         path: ['point_id'],
-        message: `${value.terminal_status} point references are inconsistent`,
+        message: 'non-measured points must not carry point/series references',
+      });
+    }
+    if (measured && value.reason !== null) {
+      context.addIssue({
+        code: 'custom',
+        path: ['reason'],
+        message: 'measured points must not carry a reason',
       });
     }
-    if (
-      (value.terminal_status === 'measured' && value.reason !== null) ||
-      (['unsupported', 'failed', 'invalid'].includes(value.terminal_status) &&
-        value.reason === null)
-    ) {
+    if (!measured && value.reason === null) {
       context.addIssue({
         code: 'custom',
         path: ['reason'],
-        message: `${value.terminal_status} point reason is inconsistent`,
+        message: 'non-measured points require a reason',
       });
     }
   });
 const coverageSchema = z.strictObject({
   case_id: typedId('case'),
   label,
-  required: z.boolean(),
   disposition: z.enum(['runnable', 'unsupported']),
   sku: safeId,
-  suite: safeId,
-  workload: safeId,
-  publication_tier: publicationTier,
   backend: safeId,
   backend_generation: label.nullable(),
   mode,
-  phase: z.enum(['decode', 'prefill']),
-  routing: z.enum(['uniform', 'zipf']),
+  phase,
+  routing: routingKind,
   eplb: z.boolean(),
-  precision_profile: precisionProfileSchema,
-  dispatch_precision: communicationAxisSchema,
-  combine_precision: communicationAxisSchema,
+  precision_profile: safeId.nullable(),
+  dispatch_precision: precisionAxisSchema.nullable(),
+  combine_precision: precisionAxisSchema.nullable(),
   resource: coverageResourceSchema,
   topology: coverageTopologySchema,
   points: uniqueObjects(coveragePointSchema).min(1),
@@ -469,155 +337,340 @@ const coverageSchema = z.strictObject({
 });
 const attemptSchema = z.strictObject({
   attempt_id: typedId('attempt'),
-  evidence: z
-    .array(
-      z.strictObject({
-        evidence_id: typedId('evidence'),
-        point_id: typedId('point'),
-      }),
-    )
-    .refine(
-      (items) =>
-        new Set(items.map((item) => `${item.evidence_id}\0${item.point_id}`)).size === items.length,
-      'duplicate evidence items',
-    ),
   case_id: typedId('case'),
   allocation_id: typedId('allocation'),
-  run_id: z.string().regex(/^[1-9][0-9]*$/),
+  run_id: runId,
   run_attempt: positiveInteger,
-  qualification_index: qualificationIndex,
   attempt_index: positiveInteger,
   outcome,
   failure_mode: reason,
   reason,
-  series_id: typedId('series').nullable(),
   selected: z.boolean(),
-  completed_at: timestamp.nullable(),
-});
-const metricSchema = z.strictObject({
-  operation: z.literal('roundtrip'),
-  statistic: z.enum(['p50', 'p99']),
-  measure: z.enum([
-    'latency_us',
-    'activation_data_rate_gbps_at_latency_percentile',
-    'total_logical_data_rate_gbps_at_latency_percentile',
-  ]),
-  objective: z.enum(['min', 'max']),
-  tokens_per_rank: positiveInteger,
-  phase: z.enum(['decode', 'prefill']),
-});
-const cohortSchema = z.strictObject({
-  cohort_id: typedId('cohort'),
-  kind: z.enum([
-    'library',
-    'chip',
-    'system',
-    'routing',
-    'dispatch-precision',
-    'combine-precision',
-    'precision-pair',
-  ]),
-  label,
-  description: label,
-  publication_tier: publicationTier,
-  series_ids: unique(typedId('series')).min(2),
-  controlled_factors: unique(safeId).min(1),
-  varying_factors: unique(safeId).min(1),
-  eligibility: eligibilitySchema,
-});
-const rankingSchema = z.strictObject({
-  ranking_id: typedId('ranking'),
-  cohort_id: typedId('cohort'),
-  label,
-  publication_tier: publicationTier,
-  metric: metricSchema,
-  entries: z
+  evidence: z
     .array(
       z.strictObject({
-        rank: positiveInteger,
-        series_id: typedId('series'),
+        evidence_id: typedId('evidence'),
         point_id: typedId('point'),
-        value: z.number().finite().positive(),
-        unit: z.enum(['us', 'GB/s']),
       }),
     )
-    .min(2),
-  eligibility: eligibilitySchema,
-});
-const recommendationSchema = z.strictObject({
-  recommendation_id: typedId('recommendation'),
-  cohort_id: typedId('cohort'),
-  label,
-  objective: z.enum([
-    'min-p50-latency',
-    'min-p99-latency',
-    'max-activation-data-rate-at-p50-latency',
-    'max-activation-data-rate-at-p99-latency',
-    'max-total-logical-data-rate-at-p50-latency',
-    'max-total-logical-data-rate-at-p99-latency',
-  ]),
-  publication_tier: z.literal('official'),
-  series_id: typedId('series'),
-  point_id: typedId('point'),
-  value: z.number().finite().positive(),
-  unit: z.enum(['us', 'GB/s']),
-  rationale: label,
-  eligibility: eligibilitySchema,
-});
-const sensitivitySchema = z.strictObject({
-  sensitivity_id: typedId('sensitivity'),
-  cohort_id: typedId('cohort'),
-  label,
-  publication_tier: publicationTier,
-  baseline_series_id: typedId('series'),
-  candidate_series_id: typedId('series'),
-  metric: metricSchema,
-  signed_change_ratio: z.number().finite(),
-  eligibility: eligibilitySchema,
+    .refine(
+      (items) =>
+        new Set(items.map((item) => `${item.evidence_id}\0${item.point_id}`)).size === items.length,
+      'duplicate evidence items',
+    ),
 });
 
+// ---------------------------------------------------------------------------
+// Run metadata + dataset envelope
+// ---------------------------------------------------------------------------
+export const collectiveXRunSchema = z.strictObject({
+  run_id: runId,
+  run_attempt: positiveInteger,
+  generated_at: timestamp,
+  // GitHub Actions run conclusion; null while in progress. Discovery never gates on it.
+  conclusion: safeId.nullable(),
+  matrix_id: safeId.nullable(),
+  requested_cases: nonnegativeInteger,
+  terminal_cases: nonnegativeInteger,
+  measured_cases: nonnegativeInteger,
+  unsupported_cases: nonnegativeInteger,
+  failed_cases: nonnegativeInteger,
+  requested_points: nonnegativeInteger,
+  terminal_points: nonnegativeInteger,
+  measured_points: nonnegativeInteger,
+  allocation_count: nonnegativeInteger,
+  covered_skus: unique(safeId),
+});
 export const collectiveXDatasetSchema = z.strictObject({
-  format: z.literal('collectivex.public.v1'),
+  format: z.literal('collectivex.view.v1'),
   schema_version: z.literal(1),
   generated_at: timestamp,
-  source_bundle_ids: unique(hex64),
-  promotion: z.strictObject({
-    status: z.enum(['promoted', 'diagnostic', 'quarantined']),
-    reason,
-    matrix_id: hex64.nullable(),
-    allocation_ids: unique(typedId('allocation')),
-    required_allocations: z.literal(1),
-    qualification_indices: unique(z.literal(1)).max(1),
-    requested_cases: nonnegativeInteger,
-    terminal_cases: nonnegativeInteger,
-    measured_cases: nonnegativeInteger,
-    unsupported_cases: nonnegativeInteger,
-    requested_points: nonnegativeInteger,
-    terminal_points: nonnegativeInteger,
-    measured_points: nonnegativeInteger,
-    unsupported_points: nonnegativeInteger,
-    policy: z.literal('collectivex-decision-grade-v1'),
-    // Partial-coverage promotion ("tagged + success" over a SKU subset). Both are
-    // emitted by the publisher for full and partial runs alike; a full run reports
-    // coverage_scope 'full' with every canonical SKU. Optional so pre-partial
-    // datasets still parse.
-    coverage_scope: z.enum(['full', 'partial']).optional(),
-    covered_skus: unique(safeId).optional(),
-  }),
+  source_bundle_ids: unique(safeId),
+  run: collectiveXRunSchema,
   coverage: z.array(coverageSchema),
   attempts: z.array(attemptSchema),
   series: z.array(seriesSchema),
-  cohorts: z.array(cohortSchema),
-  rankings: z.array(rankingSchema),
-  recommendations: z.array(recommendationSchema),
-  sensitivities: z.array(sensitivitySchema),
 });
 
-export type CollectiveXChannel = z.infer<typeof collectiveXChannelSchema>;
+// Run picker listing — keyed by run_id + attempt (no content digest).
+export const collectiveXRunSummarySchema = z.strictObject({
+  run_id: runId,
+  run_attempt: positiveInteger,
+  generated_at: timestamp,
+  conclusion: safeId.nullable(),
+  covered_skus: unique(safeId),
+  terminal_counts: z.strictObject({
+    measured: nonnegativeInteger,
+    unsupported: nonnegativeInteger,
+    failed: nonnegativeInteger,
+  }),
+});
+export const collectiveXRunsSchema = z.strictObject({
+  format: z.literal('collectivex.runs.v1'),
+  version: positiveInteger,
+  runs: z.array(collectiveXRunSummarySchema),
+});
+
+// ---------------------------------------------------------------------------
+// Raw neutral artifact ingest schemas (server-side only, lenient).
+//
+// These validate the consumed subset of the three neutral artifact formats the
+// reader downloads. Plain z.object strips unknown keys, so the reader stays
+// tolerant of extra/future fields (e.g. a later top-level `version: N`).
+// ---------------------------------------------------------------------------
+const rawPercentilesSchema = z.object({
+  p50: z.number(),
+  p90: z.number(),
+  p95: z.number(),
+  p99: z.number(),
+});
+const rawCaseSchema = z.object({
+  case_id: z.string().optional(),
+  backend: z.string(),
+  ep: positiveInteger,
+  eplb: z.boolean(),
+  experts: positiveInteger,
+  gpus_per_node: positiveInteger,
+  hidden: positiveInteger,
+  topk: positiveInteger,
+  ladder: z.string(),
+  mode: z.string(),
+  nodes: positiveInteger,
+  phase: z.string(),
+  routing: z.string(),
+  scope: z.string(),
+  suite: z.string(),
+  workload: z.string(),
+  transport: z.string(),
+  topology_class: z.string(),
+  scale_up_domain: positiveInteger,
+  scale_up_transport: z.string(),
+  scale_out_transport: z.string().nullable(),
+});
+const rawProfileSchema = z.object({
+  dtype: z.string(),
+  combine_dtype: z.string(),
+  // Absent in the neutral MVP profile (fixed-BF16 path, quant not swept); the reader
+  // defaults it to 'none'. Present in legacy promotion-era profiles.
+  combine_quant_mode: z.string().optional(),
+  combine_semantics: z.string(),
+  payload_unit: z.string(),
+  activation_profile: z.string(),
+  eplb_planner: z.string().nullable().optional(),
+  eplb_redundant_experts: nonnegativeInteger.optional(),
+  eplb_reference_tokens_per_rank: positiveInteger.optional(),
+  resource_mode: z.string().optional(),
+});
+const rawTopologySchema = z.object({
+  device_product: z.string().optional(),
+  gpus_per_node: positiveInteger,
+  nodes: positiveInteger,
+  placement: z.string(),
+  scale_out_transport: z.string().nullable(),
+  scale_up_domain: positiveInteger,
+  scale_up_transport: z.string(),
+  scope: z.string(),
+  topology_class: z.string(),
+  transport: z.string(),
+  world_size: positiveInteger,
+});
+const rawImplementationSchema = z.object({
+  name: z.string(),
+  kernel_generation: z.string(),
+  provenance: z.object({
+    deepep_version: z.string().optional(),
+    deepep_commit: z.string().optional(),
+    backend_lineage: z.string().optional(),
+    mode: z.string().optional(),
+  }),
+  resource_profile: z.object({
+    comm_units_kind: z.string().nullable().optional(),
+    configured_units: positiveInteger.nullable().optional(),
+    conformance_class: z.string().optional(),
+    resource_class: z.string().optional(),
+  }),
+});
+const rawComponentSchema = z.object({
+  origin: z.string().nullable().optional(),
+  availability: z.string(),
+  // null for unavailable components (e.g. `stage` on a two-phase backend).
+  percentiles_us: rawPercentilesSchema.nullable(),
+  sample_count: nonnegativeInteger.optional(),
+});
+const rawByteAccountingSchema = z.object({
+  activation_data_bytes: nonnegativeInteger,
+  scale_bytes: nonnegativeInteger.optional(),
+  total_logical_bytes: nonnegativeInteger,
+});
+const rawRowSchema = z.object({
+  point_id: z.string(),
+  // Legacy shards carry a content-hash evidence id; neutral shards identify a row's
+  // evidence by its sample digest instead, so the reader synthesizes one from point_id.
+  evidence_id: z.string().optional(),
+  sample_sha256: z.string().optional(),
+  tokens_per_rank: positiveInteger,
+  global_tokens: positiveInteger,
+  // Legacy shards list anomalies as reason-id strings; neutral shards emit structured
+  // objects ({type, ...}). The reader slugifies both to reason ids.
+  anomalies: z.array(z.union([z.string(), z.record(z.string(), z.unknown())])).optional(),
+  correctness: z.object({
+    passed: z.boolean(),
+    max_relative_error: z.number(),
+    contract: z.string(),
+    scope: z.string(),
+  }),
+  routing: z.object({
+    fanout_mean: z.number(),
+    routed_copies: nonnegativeInteger,
+    expert_load_cv: z.number(),
+    payload_rank_cv: z.number(),
+    hotspot_ratio: z.number(),
+    empty_expert_count: nonnegativeInteger,
+    empty_rank_count: nonnegativeInteger,
+  }),
+  receive: z.object({ max: nonnegativeInteger }),
+  token_rate_at_latency_percentile: rawPercentilesSchema,
+  components: z.record(z.string(), rawComponentSchema.nullable()),
+  byte_provenance: z.record(z.string(), rawByteAccountingSchema),
+});
+export const collectiveXRawCaseAttemptSchema = z.object({
+  format: z.literal('collectivex.ep.v1'),
+  record_type: z.literal('case-attempt'),
+  generated_at: z.string(),
+  identity: z.object({
+    // series_id/allocation_id/series_factors are legacy promotion-era fields. The neutral
+    // MVP backend omits them; the reader derives series identity from case_id and series
+    // factors from provenance/case below.
+    series_id: z.string().optional(),
+    case_id: z.string(),
+    allocation_id: z.string().optional(),
+    attempt_id: z.string(),
+    attempt_ordinal: positiveInteger,
+    series_factors: z
+      .object({
+        backend: z.string(),
+        source_sha: z.string(),
+        image_digest: z.string(),
+        squash_sha256: z.string(),
+        workload_id: z.string(),
+      })
+      .optional(),
+    case_factors: z.object({
+      sku: z.string(),
+      case: rawCaseSchema,
+      profile: rawProfileSchema,
+    }),
+    allocation_factors: z.object({
+      run_id: z.string(),
+      run_attempt: z.string(),
+      runner: z.string().optional(),
+      artifact: z.string().optional(),
+      // Neutral fallback source for a synthesized allocation id / build source_sha.
+      execution_id: z.string().optional(),
+      source_sha: z.string().optional(),
+    }),
+  }),
+  // Neutral shards carry image/source provenance the reader folds into series build
+  // factors (legacy shards carried these inside identity.series_factors instead).
+  provenance: z
+    .object({
+      image: z
+        .object({
+          digest: z.string().optional(),
+          squash_sha256: z.string().optional(),
+        })
+        .optional(),
+      git_run: z.object({ source_sha: z.string().optional() }).optional(),
+    })
+    .optional(),
+  topology: rawTopologySchema,
+  implementation: rawImplementationSchema,
+  runtime_fingerprint: z.object({ vendor: z.string() }),
+  measurement: z.object({
+    contract: z.string(),
+    sampling: z.object({
+      iterations_per_trial: positiveInteger,
+      trials: positiveInteger,
+      warmup_iterations: nonnegativeInteger,
+      samples_per_component: positiveInteger,
+    }),
+    rows: z.array(rawRowSchema).min(1),
+  }),
+  outcome: z.object({ status: z.string() }),
+});
+export const collectiveXRawTerminalSchema = z.object({
+  format: z.literal('collectivex.terminal.v1'),
+  record_type: z.literal('terminal-outcome'),
+  generated_at: z.string(),
+  identity: z.object({
+    case_id: z.string().optional(),
+    allocation_id: z.string().optional(),
+    attempt_id: z.string().optional(),
+    attempt_ordinal: positiveInteger.optional(),
+    case_factors: z
+      .object({
+        sku: z.string(),
+        case: rawCaseSchema.optional(),
+      })
+      .optional(),
+    allocation_factors: z
+      .object({
+        run_id: z.string().optional(),
+        run_attempt: z.string().optional(),
+      })
+      .optional(),
+  }),
+  outcome: z.object({
+    status: z.string(),
+    failure_mode: z.string().optional(),
+    reason: z.string().nullable().optional(),
+    return_code: z.number().int().optional(),
+  }),
+});
+const rawMatrixIncludeSchema = z.object({
+  id: z.string(),
+  sku: z.string(),
+  backend: z.string(),
+  n: nonnegativeInteger,
+  nodes: positiveInteger,
+  gpus_per_node: positiveInteger,
+  launcher: z.string(),
+  scope: z.string(),
+  topology_class: z.string(),
+  transport: z.string(),
+  scale_up_domain: positiveInteger.optional(),
+  scale_up_transport: z.string().nullable().optional(),
+  scale_out_transport: z.string().nullable().optional(),
+  case_ids: z.array(z.string()),
+  execution_weight: nonnegativeInteger.optional(),
+});
+const rawRequestedCaseSchema = z.object({
+  case: rawCaseSchema,
+  sku: z.string(),
+  disposition: z.enum(['runnable', 'unsupported']),
+  reason: z.string().nullable().optional(),
+  detail: z.string().nullable().optional(),
+});
+export const collectiveXRawMatrixSchema = z.object({
+  format: z.literal('collectivex.matrix.v1'),
+  schema_version: nonnegativeInteger.optional(),
+  include: z.array(rawMatrixIncludeSchema),
+  requested_cases: z.array(rawRequestedCaseSchema),
+});
+
+// ---------------------------------------------------------------------------
+// Inferred types
+// ---------------------------------------------------------------------------
+export type CollectiveXRunSummary = z.infer<typeof collectiveXRunSummarySchema>;
+export type CollectiveXRuns = z.infer<typeof collectiveXRunsSchema>;
+export type CollectiveXRun = z.infer<typeof collectiveXRunSchema>;
 export type CollectiveXDataset = z.infer<typeof collectiveXDatasetSchema>;
 export type CollectiveXComponent = z.infer<typeof componentSchema>;
-export type CollectiveXCommunicationAxis = z.infer<typeof communicationAxisSchema>;
-export type CollectiveXPrecisionProfile = z.infer<typeof precisionProfileSchema>;
+export type CollectiveXPrecisionAxis = z.infer<typeof precisionAxisSchema>;
+// Retained export name (shape slimmed to {communication_format, quant_mode, semantics}).
+export type CollectiveXCommunicationAxis = CollectiveXPrecisionAxis;
+export type CollectiveXPrecisionProfile = string;
+export type CollectiveXRouting = z.infer<typeof routingSchema>;
 export type CollectiveXPoint = z.infer<typeof pointSchema>;
 export type CollectiveXPointCorrectness = z.infer<typeof pointCorrectnessSchema>;
 export type CollectiveXSeries = z.infer<typeof seriesSchema>;
@@ -626,18 +679,19 @@ export type CollectiveXCoverageTopology = z.infer<typeof coverageTopologySchema>
 export type CollectiveXCoveragePoint = z.infer<typeof coveragePointSchema>;
 export type CollectiveXTerminalStatus = z.infer<typeof terminalStatus>;
 export type CollectiveXAttempt = z.infer<typeof attemptSchema>;
-export type CollectiveXEligibility = z.infer<typeof eligibilitySchema>;
-export type CollectiveXMetric = z.infer<typeof metricSchema>;
-export type CollectiveXCohort = z.infer<typeof cohortSchema>;
-export type CollectiveXRanking = z.infer<typeof rankingSchema>;
-export type CollectiveXRecommendation = z.infer<typeof recommendationSchema>;
-export type CollectiveXSensitivity = z.infer<typeof sensitivitySchema>;
 export type CollectiveXOutcome = z.infer<typeof outcome>;
-export type CollectiveXPublicationTier = z.infer<typeof publicationTier>;
+
+export type CollectiveXRawMatrix = z.infer<typeof collectiveXRawMatrixSchema>;
+export type CollectiveXRawCaseAttempt = z.infer<typeof collectiveXRawCaseAttemptSchema>;
+export type CollectiveXRawTerminal = z.infer<typeof collectiveXRawTerminalSchema>;
+export type CollectiveXRawCase = z.infer<typeof rawCaseSchema>;
+export type CollectiveXRawProfile = z.infer<typeof rawProfileSchema>;
+export type CollectiveXRawRow = z.infer<typeof rawRowSchema>;
+
 export interface CollectiveXResolvedDataset {
-  channel: CollectiveXChannel;
   dataset: CollectiveXDataset;
-  digest: string;
+  run_id: string;
+  run_attempt: number;
 }
 export interface CollectiveXChartPoint {
   seriesId: string;
diff --git a/packages/app/src/hooks/api/use-collectivex.ts b/packages/app/src/hooks/api/use-collectivex.ts
index b43ab81e5..66c596737 100644
--- a/packages/app/src/hooks/api/use-collectivex.ts
+++ b/packages/app/src/hooks/api/use-collectivex.ts
@@ -1,29 +1,25 @@
 import { useQuery } from '@tanstack/react-query';
 
 import { fetchCollectiveX, fetchCollectiveXRun, fetchCollectiveXRunList } from '@/lib/api';
-import type { CollectiveXChannelName } from '@/components/collectivex/reader';
 import {
   COLLECTIVEX_DEFAULT_VERSION,
   type CollectiveXVersion,
 } from '@/components/collectivex/types';
 
-export function useCollectiveX(
-  channel: CollectiveXChannelName = 'dev-latest',
-  version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
-) {
+/** Latest sweep run's neutral dataset — the default page view. */
+export function useCollectiveX(version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION) {
   return useQuery({
-    queryKey: ['collectivex', version, channel],
-    queryFn: ({ signal }) => fetchCollectiveX(channel, signal, version),
+    queryKey: ['collectivex', version],
+    queryFn: ({ signal }) => fetchCollectiveX(signal, version),
     staleTime: 0,
     refetchOnMount: 'always',
   });
 }
 
 /**
- * JIT list of eligible ("tagged + success") publication runs for a version,
- * backing the run picker. `enabled` gates the fetch so the list is only pulled
- * when the user asks for it (the "Load runs" button); refetched on mount so a
- * reopened picker reflects newly autopublished runs without a hard reload.
+ * Recent sweep runs for a version, backing the run picker. `enabled` gates the
+ * fetch so the list is only pulled when the user opens the picker; refetched on
+ * mount so a reopened picker reflects newly finished runs without a hard reload.
  */
 export function useCollectiveXRuns(
   version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
@@ -39,15 +35,15 @@ export function useCollectiveXRuns(
 }
 
 /**
- * Resolve one selected run's promoted dataset by digest. `enabled` gates the
- * fetch so the picker only loads a run once the user selects a non-default one;
- * the default view keeps using the dev-latest channel via {@link useCollectiveX}.
+ * Resolve one selected run's neutral dataset by run_id. `enabled` gates the fetch
+ * so the picker only loads a run once the user selects a non-default one; the
+ * default view keeps using the latest run via {@link useCollectiveX}.
  */
-export function useCollectiveXRun(version: CollectiveXVersion, digest: string | null) {
+export function useCollectiveXRun(version: CollectiveXVersion, runId: string | null) {
   return useQuery({
-    queryKey: ['collectivex-run', version, digest],
-    queryFn: ({ signal }) => fetchCollectiveXRun(version, digest!, signal),
-    enabled: digest !== null,
+    queryKey: ['collectivex-run', version, runId],
+    queryFn: ({ signal }) => fetchCollectiveXRun(version, runId!, signal),
+    enabled: runId !== null,
     staleTime: Infinity,
   });
 }
diff --git a/packages/app/src/lib/api.test.ts b/packages/app/src/lib/api.test.ts
index 622344210..3009740e4 100644
--- a/packages/app/src/lib/api.test.ts
+++ b/packages/app/src/lib/api.test.ts
@@ -5,11 +5,13 @@ import {
   fetchWorkflowInfo,
   fetchAvailability,
   fetchCollectiveX,
+  fetchCollectiveXRun,
+  fetchCollectiveXRunList,
   fetchReliability,
   fetchEvaluations,
 } from './api';
 import { makeCollectiveXDataset } from '@/components/collectivex/test-fixture';
-import { collectiveXChannelUrl, sha256Hex } from '@/components/collectivex/reader';
+import { buildRunSummary } from '@/components/collectivex/reader';
 
 const mockFetch = vi.fn();
 vi.stubGlobal('fetch', mockFetch);
@@ -130,40 +132,52 @@ describe('fetchEvaluations', () => {
   });
 });
 
-describe('fetchCollectiveX', () => {
-  it('resolves the no-cache channel to a digest-addressed dataset', async () => {
-    const bytes = new TextEncoder().encode(JSON.stringify(makeCollectiveXDataset()));
-    const digest = await sha256Hex(bytes);
-    mockFetch
-      .mockResolvedValueOnce({
-        ok: true,
-        text: () =>
-          Promise.resolve(
-            JSON.stringify({
-              format: 'collectivex.channel.v1',
-              channel: 'dev-latest',
-              generated_at: '2026-07-04T01:00:00Z',
-              dataset: {
-                path: `datasets/${digest}/dataset.json`,
-                sha256: digest,
-                bytes: bytes.length,
-              },
-            }),
-          ),
-      })
-      .mockResolvedValueOnce({ ok: true, arrayBuffer: () => Promise.resolve(bytes.buffer) });
+describe('CollectiveX reader delegation', () => {
+  const dataset = makeCollectiveXDataset();
+
+  function mockText(payload: unknown) {
+    mockFetch.mockResolvedValueOnce({
+      ok: true,
+      text: () => Promise.resolve(typeof payload === 'string' ? payload : JSON.stringify(payload)),
+    });
+  }
+
+  it('fetches the latest run dataset without caching and resolves the run id', async () => {
+    mockText(dataset);
 
     const result = await fetchCollectiveX();
 
     expect(mockFetch).toHaveBeenCalledWith(
-      collectiveXChannelUrl('dev-latest'),
+      '/collectivex-data/1/latest.json',
       expect.objectContaining({ cache: 'no-store', credentials: 'same-origin' }),
     );
-    expect(mockFetch).toHaveBeenLastCalledWith(
-      `/collectivex-data/1/datasets/${digest}/dataset.json`,
+    expect(result.dataset.format).toBe('collectivex.view.v1');
+    expect(result.run_id).toBe(dataset.run.run_id);
+    expect(result.run_attempt).toBe(dataset.run.run_attempt);
+  });
+
+  it('fetches a specific run by id from the immutable path', async () => {
+    mockText(dataset);
+
+    const result = await fetchCollectiveXRun(1, dataset.run.run_id);
+
+    expect(mockFetch).toHaveBeenCalledWith(
+      `/collectivex-data/1/runs/${dataset.run.run_id}.json`,
       expect.objectContaining({ cache: 'force-cache', credentials: 'same-origin' }),
     );
-    expect(result.dataset.format).toBe('collectivex.public.v1');
-    expect(result.digest).toBe(digest);
+    expect(result.run_id).toBe(dataset.run.run_id);
+  });
+
+  it('fetches the run list', async () => {
+    mockText({ format: 'collectivex.runs.v1', version: 1, runs: [buildRunSummary(dataset)] });
+
+    const runs = await fetchCollectiveXRunList(1);
+
+    expect(mockFetch).toHaveBeenCalledWith(
+      '/collectivex-data/1/runs.json',
+      expect.objectContaining({ cache: 'no-store', credentials: 'same-origin' }),
+    );
+    expect(runs).toHaveLength(1);
+    expect(runs[0].run_id).toBe(dataset.run.run_id);
   });
 });
diff --git a/packages/app/src/lib/api.ts b/packages/app/src/lib/api.ts
index d8e306537..dcb2784ca 100644
--- a/packages/app/src/lib/api.ts
+++ b/packages/app/src/lib/api.ts
@@ -4,10 +4,9 @@
  */
 
 import {
-  fetchCollectiveXByDigest,
-  fetchCollectiveXPublication,
+  fetchCollectiveXByRunId,
+  fetchCollectiveXLatest,
   fetchCollectiveXRuns,
-  type CollectiveXChannelName,
 } from '@/components/collectivex/reader';
 import {
   COLLECTIVEX_DEFAULT_VERSION,
@@ -310,15 +309,15 @@ export function fetchSubmissions(signal?: AbortSignal) {
   return fetchJson<SubmissionsResponse>('/api/v1/submissions', signal);
 }
 
+/** Latest sweep run's neutral view dataset (default page view). */
 export function fetchCollectiveX(
-  channel: CollectiveXChannelName = 'dev-latest',
   signal?: AbortSignal,
   version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
 ) {
-  return fetchCollectiveXPublication(channel, signal, version);
+  return fetchCollectiveXLatest(signal, version);
 }
 
-/** JIT list of eligible ("tagged + success") publication runs for a version. */
+/** Recent sweep runs for the run picker, keyed by run_id + attempt. */
 export function fetchCollectiveXRunList(
   version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
   signal?: AbortSignal,
@@ -326,13 +325,13 @@ export function fetchCollectiveXRunList(
   return fetchCollectiveXRuns(version, signal);
 }
 
-/** Resolve a specific run's promoted dataset by its content digest. */
+/** Resolve a specific sweep run's neutral view dataset by run_id. */
 export function fetchCollectiveXRun(
   version: CollectiveXVersion,
-  digest: string,
+  runId: string,
   signal?: AbortSignal,
 ) {
-  return fetchCollectiveXByDigest(version, digest, signal);
+  return fetchCollectiveXByRunId(version, runId, signal);
 }
 
 export interface FeedbackListRow {
diff --git a/packages/app/src/lib/collectivex-github.test.ts b/packages/app/src/lib/collectivex-github.test.ts
index 59e39681a..669b4c428 100644
--- a/packages/app/src/lib/collectivex-github.test.ts
+++ b/packages/app/src/lib/collectivex-github.test.ts
@@ -1,78 +1,111 @@
-import { createHash } from 'node:crypto';
-
 import AdmZip from 'adm-zip';
 import { afterAll, beforeEach, describe, expect, it, vi } from 'vitest';
 
-import {
-  makeCollectiveXDataset,
-  makeCollectiveXDiagnosticDataset,
-} from '@/components/collectivex/test-fixture';
+import { makeRawMatrix, makeRawShard } from '@/components/collectivex/test-fixture';
 
 import {
-  clearCollectiveXPublicationCache,
-  collectiveXPublicationErrorCode,
-  loadCollectiveXPublication,
+  clearCollectiveXSweepCache,
+  collectiveXSweepErrorCode,
+  listCollectiveXSweepRuns,
+  loadCollectiveXSweepRun,
 } from './collectivex-github';
 
 const mockFetch = vi.fn();
 vi.stubGlobal('fetch', mockFetch);
 
-function jsonResponse(value: unknown, status = 200) {
-  return Response.json(value, {
-    status,
-  });
+// The two measured shards a canonical sweep run uploads (scale-up EP8 + scale-out EP16).
+const shardA = makeRawShard({ backend: 'nccl-ep', ep: 8 });
+const shardB = makeRawShard({
+  backend: 'deepep',
+  implName: 'deepep',
+  deepepVersion: '2.1',
+  backendLineage: 'deepep-v2',
+  ep: 16,
+  scope: 'scale-out',
+  scaleOutTransport: 'rdma',
+  transport: 'rdma',
+  topologyClass: 'multi-node',
+  nodes: 2,
+  gpusPerNode: 8,
+  scaleUpDomain: 8,
+});
+
+// The neutral matrix declares every requested case; here it mirrors the two shards.
+function requestedOf(shard: Record<string, unknown>) {
+  const identity = shard.identity as Record<string, unknown>;
+  const factors = identity.case_factors as Record<string, unknown>;
+  return {
+    caseId: identity.case_id as string,
+    sku: factors.sku as string,
+    disposition: 'runnable' as const,
+    case: factors.case as Record<string, unknown>,
+  };
 }
 
-function publicationArchive(value = makeCollectiveXDataset(), extra = false) {
-  const body = Buffer.from(`${JSON.stringify(value)}\n`);
-  const digest = createHash('sha256').update(body).digest('hex');
+const matrix = makeRawMatrix([requestedOf(shardA), requestedOf(shardB)]);
+
+function zipDocs(...docs: unknown[]): ArrayBuffer {
   const zip = new AdmZip();
-  zip.addFile(`collectivex_public_v1_${digest}.ndjson`, body);
-  if (extra) zip.addFile(`collectivex_public_v1_${'f'.repeat(64)}.ndjson`, body);
-  return { body, digest, zip: zip.toBuffer() };
+  docs.forEach((doc, index) => zip.addFile(`doc-${index}.json`, Buffer.from(JSON.stringify(doc))));
+  // Copy into a fresh ArrayBuffer so Response accepts the bytes as a plain BodyInit.
+  const bytes = zip.toBuffer();
+  const archive = new ArrayBuffer(bytes.byteLength);
+  new Uint8Array(archive).set(bytes);
+  return archive;
 }
 
-function installGithubResponses(archive: ReturnType<typeof publicationArchive>) {
+const matrixZip = zipDocs(matrix);
+const shardZip = zipDocs(shardA, shardB);
+
+// A second-generation matrix (numeric version 2) that shares the format tag but
+// declares a different content version. Requesting version 1 must skip it.
+const matrixV2 = makeRawMatrix([requestedOf(shardA), requestedOf(shardB)], 2);
+const matrixZipV2 = zipDocs(matrixV2);
+
+function runObject(overrides: Record<string, unknown> = {}) {
+  return {
+    id: 160,
+    name: 'CollectiveX Sweep',
+    path: '.github/workflows/collectivex-sweep.yml',
+    head_branch: 'collectivex',
+    head_sha: 'a'.repeat(40),
+    status: 'completed',
+    conclusion: 'success',
+    run_attempt: 1,
+    updated_at: '2026-07-08T12:20:00Z',
+    ...overrides,
+  };
+}
+
+function artifactsBody() {
+  return {
+    total_count: 2,
+    artifacts: [
+      {
+        id: 1,
+        name: 'cxsweep-matrix-160',
+        archive_download_url: 'https://example.test/matrix.zip',
+        expired: false,
+      },
+      {
+        id: 2,
+        name: 'cxshard-cases',
+        archive_download_url: 'https://example.test/shards.zip',
+        expired: false,
+      },
+    ],
+  };
+}
+
+// Queue the fetch sequence a run assembly performs: matrix download, then result downloads.
+function installArtifactDownloads() {
   mockFetch
-    .mockResolvedValueOnce(
-      jsonResponse({
-        total_count: 1,
-        workflow_runs: [
-          {
-            id: 456,
-            name: 'CollectiveX Sweep',
-            path: '.github/workflows/collectivex-sweep.yml',
-            head_branch: 'collectivex',
-            head_sha: 'a'.repeat(40),
-            status: 'completed',
-            conclusion: 'success',
-            run_attempt: 1,
-          },
-        ],
-      }),
-    )
-    .mockResolvedValueOnce(
-      jsonResponse({
-        artifacts: [
-          {
-            id: 123,
-            name: 'cxpublication-1-456-1',
-            archive_download_url: 'https://example.test/publication.zip',
-            expired: false,
-            size_in_bytes: archive.zip.byteLength,
-          },
-        ],
-      }),
-    )
-    .mockResolvedValueOnce(
-      new Response(archive.zip, {
-        headers: { 'Content-Length': String(archive.zip.byteLength) },
-      }),
-    );
+    .mockResolvedValueOnce(new Response(matrixZip))
+    .mockResolvedValueOnce(new Response(shardZip));
 }
 
 beforeEach(() => {
-  clearCollectiveXPublicationCache();
+  clearCollectiveXSweepCache();
   mockFetch.mockReset();
   process.env.GITHUB_TOKEN = 'test-token';
 });
@@ -82,181 +115,125 @@ afterAll(() => {
   vi.unstubAllGlobals();
 });
 
-describe('CollectiveX GitHub publication loader', () => {
-  it('discovers, downloads, validates, and caches the latest NDJSON publication', async () => {
-    const archive = publicationArchive();
-    installGithubResponses(archive);
-
-    const first = await loadCollectiveXPublication(1);
-    const second = await loadCollectiveXPublication(1);
-
-    expect(first).toMatchObject({
-      artifactId: 123,
-      digest: archive.digest,
-      runId: 456,
-      runAttempt: 1,
-      version: 1,
-    });
-    expect(Buffer.from(first.body)).toEqual(archive.body);
-    expect(first.dataset.promotion.status).toBe('promoted');
+describe('CollectiveX GitHub sweep loader', () => {
+  it('discovers the latest run, assembles its neutral artifacts, and caches it', async () => {
+    mockFetch
+      .mockResolvedValueOnce(Response.json({ total_count: 1, workflow_runs: [runObject()] }))
+      .mockResolvedValueOnce(Response.json(artifactsBody()));
+    installArtifactDownloads();
+
+    const first = await loadCollectiveXSweepRun(1);
+    const second = await loadCollectiveXSweepRun(1);
+
+    expect(first.format).toBe('collectivex.view.v1');
+    expect(first.run.run_id).toBe('160');
+    expect(first.run.conclusion).toBe('success');
+    expect(first.series).toHaveLength(2);
     expect(second).toBe(first);
-    expect(mockFetch).toHaveBeenCalledTimes(3);
+    expect(mockFetch).toHaveBeenCalledTimes(4);
     expect(mockFetch.mock.calls[0][0]).toContain('/actions/workflows/collectivex-sweep.yml/runs?');
   });
 
-  it('paginates workflow runs until it finds a publication operation', async () => {
-    const archive = publicationArchive();
-    const ordinaryRuns = Array.from({ length: 100 }, (_, index) => ({
-      id: 1000 - index,
-      name: 'CollectiveX Sweep',
-      path: '.github/workflows/collectivex-sweep.yml',
-      head_branch: 'collectivex',
-      head_sha: 'a'.repeat(40),
-      status: 'completed',
-      conclusion: 'failure',
-      run_attempt: 1,
-    }));
-    ordinaryRuns[0].conclusion = 'success';
+  it('resolves a specific run by id', async () => {
     mockFetch
-      .mockResolvedValueOnce(jsonResponse({ total_count: 101, workflow_runs: ordinaryRuns }))
-      .mockResolvedValueOnce(jsonResponse({ artifacts: [] }))
-      .mockResolvedValueOnce(
-        jsonResponse({
-          total_count: 101,
-          workflow_runs: [
-            {
-              id: 456,
-              name: 'CollectiveX Sweep',
-              path: '.github/workflows/collectivex-sweep.yml',
-              head_branch: 'collectivex',
-              head_sha: 'a'.repeat(40),
-              status: 'completed',
-              conclusion: 'success',
-              run_attempt: 1,
-            },
-          ],
-        }),
-      )
-      .mockResolvedValueOnce(
-        jsonResponse({
-          artifacts: [
-            {
-              id: 123,
-              name: 'cxpublication-1-456-1',
-              archive_download_url: 'https://example.test/publication.zip',
-              expired: false,
-              size_in_bytes: archive.zip.byteLength,
-            },
-          ],
-        }),
-      )
-      .mockResolvedValueOnce(
-        new Response(archive.zip, {
-          headers: { 'Content-Length': String(archive.zip.byteLength) },
-        }),
-      );
+      .mockResolvedValueOnce(Response.json(runObject()))
+      .mockResolvedValueOnce(Response.json(artifactsBody()));
+    installArtifactDownloads();
+
+    const dataset = await loadCollectiveXSweepRun(1, '160');
 
-    await expect(loadCollectiveXPublication(1)).resolves.toMatchObject({ runId: 456 });
-    expect(mockFetch.mock.calls[0][0]).toContain('page=1');
-    expect(mockFetch.mock.calls[2][0]).toContain('page=2');
+    expect(dataset.run.run_id).toBe('160');
+    expect(dataset.series).toHaveLength(2);
+    expect(mockFetch.mock.calls[0][0]).toContain('/actions/runs/160');
   });
 
-  it('selects only the artifact from the current run attempt', async () => {
-    const archive = publicationArchive();
+  it('lists recent runs as run summaries', async () => {
     mockFetch
+      .mockResolvedValueOnce(Response.json({ total_count: 1, workflow_runs: [runObject()] }))
+      .mockResolvedValueOnce(Response.json(artifactsBody()));
+    installArtifactDownloads();
+
+    const summaries = await listCollectiveXSweepRuns(1);
+
+    expect(summaries).toHaveLength(1);
+    expect(summaries[0].run_id).toBe('160');
+    expect(summaries[0].terminal_counts.measured).toBeGreaterThan(0);
+  });
+
+  it('fails as unavailable without a server-side GitHub token', async () => {
+    delete process.env.GITHUB_TOKEN;
+
+    await expect(loadCollectiveXSweepRun(1)).rejects.toSatisfy(
+      (error: unknown) => collectiveXSweepErrorCode(error) === 'unavailable',
+    );
+    expect(mockFetch).not.toHaveBeenCalled();
+  });
+
+  it('reports not-found when no sweep run carries artifacts', async () => {
+    mockFetch.mockResolvedValueOnce(Response.json({ total_count: 0, workflow_runs: [] }));
+
+    await expect(loadCollectiveXSweepRun(1)).rejects.toSatisfy(
+      (error: unknown) => collectiveXSweepErrorCode(error) === 'not-found',
+    );
+  });
+
+  it('rejects a run whose matrix artifact carries no matrix document', async () => {
+    mockFetch
+      .mockResolvedValueOnce(Response.json({ total_count: 1, workflow_runs: [runObject()] }))
       .mockResolvedValueOnce(
-        jsonResponse({
+        Response.json({
           total_count: 1,
-          workflow_runs: [
-            {
-              id: 456,
-              name: 'CollectiveX Sweep',
-              path: '.github/workflows/collectivex-sweep.yml',
-              head_branch: 'collectivex',
-              head_sha: 'a'.repeat(40),
-              status: 'completed',
-              conclusion: 'success',
-              run_attempt: 2,
-            },
-          ],
-        }),
-      )
-      .mockResolvedValueOnce(
-        jsonResponse({
           artifacts: [
             {
-              id: 122,
-              name: 'cxpublication-1-456-1',
-              archive_download_url: 'https://example.test/stale.zip',
-              expired: false,
-            },
-            {
-              id: 123,
-              name: 'cxpublication-1-456-2',
-              archive_download_url: 'https://example.test/publication.zip',
+              id: 1,
+              name: 'cxsweep-matrix-160',
+              archive_download_url: 'https://example.test/matrix.zip',
               expired: false,
-              size_in_bytes: archive.zip.byteLength,
             },
           ],
         }),
       )
-      .mockResolvedValueOnce(
-        new Response(archive.zip, {
-          headers: { 'Content-Length': String(archive.zip.byteLength) },
-        }),
-      );
-
-    await expect(loadCollectiveXPublication(1)).resolves.toMatchObject({
-      artifactId: 123,
-      runAttempt: 2,
-    });
-    expect(mockFetch).not.toHaveBeenCalledWith('https://example.test/stale.zip', expect.anything());
-  });
-
-  it('resolves an immutable digest from the publication cache', async () => {
-    const archive = publicationArchive();
-    installGithubResponses(archive);
-    await loadCollectiveXPublication(1);
-
-    await expect(loadCollectiveXPublication(1, archive.digest)).resolves.toMatchObject({
-      digest: archive.digest,
-    });
-    expect(mockFetch).toHaveBeenCalledTimes(3);
-  });
+      .mockResolvedValueOnce(new Response(zipDocs(shardA)));
 
-  it('retries transient GitHub failures with bounded attempts', async () => {
-    const archive = publicationArchive();
-    mockFetch.mockResolvedValueOnce(jsonResponse({}, 503));
-    installGithubResponses(archive);
-
-    await expect(loadCollectiveXPublication(1)).resolves.toMatchObject({
-      digest: archive.digest,
-    });
-    expect(mockFetch).toHaveBeenCalledTimes(4);
-  });
-
-  it('rejects non-promoted and ambiguous publication artifacts', async () => {
-    const diagnostic = publicationArchive(makeCollectiveXDiagnosticDataset());
-    installGithubResponses(diagnostic);
-    await expect(loadCollectiveXPublication(1)).rejects.toSatisfy(
-      (error: unknown) => collectiveXPublicationErrorCode(error) === 'invalid',
+    await expect(loadCollectiveXSweepRun(1)).rejects.toSatisfy(
+      (error: unknown) => collectiveXSweepErrorCode(error) === 'invalid',
     );
+  });
 
-    clearCollectiveXPublicationCache();
-    mockFetch.mockReset();
-    const ambiguous = publicationArchive(makeCollectiveXDataset(), true);
-    installGithubResponses(ambiguous);
-    await expect(loadCollectiveXPublication(1)).rejects.toSatisfy(
-      (error: unknown) => collectiveXPublicationErrorCode(error) === 'invalid',
-    );
+  it('skips a newer run tagged for another version and resolves the newest match', async () => {
+    // Run 161 is newest but carries a version-2 matrix; the version-1 request
+    // must fall through to run 160 without erroring.
+    mockFetch
+      .mockResolvedValueOnce(
+        Response.json({
+          total_count: 2,
+          workflow_runs: [runObject({ id: 161 }), runObject({ id: 160 })],
+        }),
+      )
+      .mockResolvedValueOnce(Response.json(artifactsBody()))
+      .mockResolvedValueOnce(new Response(matrixZipV2))
+      .mockResolvedValueOnce(Response.json(artifactsBody()))
+      .mockResolvedValueOnce(new Response(matrixZip))
+      .mockResolvedValueOnce(new Response(shardZip));
+
+    const dataset = await loadCollectiveXSweepRun(1);
+
+    expect(dataset.run.run_id).toBe('160');
+    expect(dataset.series).toHaveLength(2);
+    // The mismatched run costs only its matrix peek (no result download).
+    expect(mockFetch).toHaveBeenCalledTimes(6);
   });
 
-  it('fails as unavailable without a server-side GitHub token', async () => {
-    delete process.env.GITHUB_TOKEN;
+  it('reports not-found when a run resolved by id is tagged for another version', async () => {
+    mockFetch
+      .mockResolvedValueOnce(Response.json(runObject()))
+      .mockResolvedValueOnce(Response.json(artifactsBody()))
+      .mockResolvedValueOnce(new Response(matrixZipV2));
 
-    await expect(loadCollectiveXPublication(1)).rejects.toSatisfy(
-      (error: unknown) => collectiveXPublicationErrorCode(error) === 'unavailable',
+    await expect(loadCollectiveXSweepRun(1, '160')).rejects.toSatisfy(
+      (error: unknown) => collectiveXSweepErrorCode(error) === 'not-found',
     );
-    expect(mockFetch).not.toHaveBeenCalled();
+    // The version peek stops assembly before any result artifact is fetched.
+    expect(mockFetch).toHaveBeenCalledTimes(3);
   });
 });
diff --git a/packages/app/src/lib/collectivex-github.ts b/packages/app/src/lib/collectivex-github.ts
index d3c88ab11..20c317157 100644
--- a/packages/app/src/lib/collectivex-github.ts
+++ b/packages/app/src/lib/collectivex-github.ts
@@ -1,32 +1,42 @@
-import { createHash } from 'node:crypto';
-
 import AdmZip from 'adm-zip';
 
 import { GITHUB_API_BASE, GITHUB_OWNER, GITHUB_REPO } from '@semianalysisai/inferencex-constants';
 
-import { parseCollectiveXDatasetText } from '@/components/collectivex/reader';
-import type { CollectiveXDataset, CollectiveXVersion } from '@/components/collectivex/types';
+import {
+  buildDatasetFromNeutral,
+  buildRunSummary,
+  type CollectiveXNeutralRunMeta,
+} from '@/components/collectivex/reader';
+import type {
+  CollectiveXDataset,
+  CollectiveXRunSummary,
+  CollectiveXVersion,
+} from '@/components/collectivex/types';
 
 const BRANCH = 'collectivex';
 const WORKFLOW_PATH = '.github/workflows/collectivex-sweep.yml';
 const WORKFLOW_FILE = 'collectivex-sweep.yml';
 const WORKFLOW_NAME = 'CollectiveX Sweep';
 const RUNS_PER_PAGE = 100;
-// Keyed by the numeric release version. The filename regex keeps the frozen
-// data-format literal `collectivex_public_v1_` (schema-version, not the release).
-const PUBLICATION_POLICY: Record<CollectiveXVersion, { file: RegExp }> = {
-  1: {
-    file: /^collectivex_public_v1_(?<digest>[a-f0-9]{64})\.ndjson$/,
-  },
-};
-const MAX_PUBLICATION_BYTES = 32 * 1024 * 1024;
+const ARTIFACTS_PER_PAGE = 100;
+
+// The three neutral artifact families a sweep run uploads (via always()).
+const MATRIX_PREFIX = 'cxsweep-matrix-';
+const SHARD_PREFIX = 'cxshard-';
+const TERMINAL_PREFIX = 'cxunsupported-';
+
+const MAX_ARTIFACT_BYTES = 64 * 1024 * 1024;
+const MAX_RUN_BYTES = 256 * 1024 * 1024;
 const REQUEST_TIMEOUT_MS = 30_000;
 const MAX_REQUEST_ATTEMPTS = 3;
 const RETRYABLE_STATUSES = new Set([408, 429, 500, 502, 503, 504]);
 const LATEST_TTL_MS = 60_000;
-const DIGEST_TTL_MS = 10 * 60_000;
+const RUN_TTL_MS = 10 * 60_000;
+// The picker lists a recent window; each listed run costs one artifact-bundle
+// download + build, so the fan-out stays bounded.
+const MAX_LISTED_RUNS = 8;
 
-type PublicationErrorCode = 'invalid' | 'not-found' | 'unavailable';
+type SweepErrorCode = 'invalid' | 'not-found' | 'unavailable';
 
 interface WorkflowRun {
   id: number;
@@ -37,6 +47,9 @@ interface WorkflowRun {
   status: string | null;
   conclusion: string | null;
   run_attempt: number;
+  run_started_at?: string | null;
+  updated_at?: string | null;
+  created_at?: string | null;
 }
 
 interface GithubArtifact {
@@ -47,67 +60,28 @@ interface GithubArtifact {
   size_in_bytes?: number;
 }
 
-interface PublicationCandidate {
-  artifact: GithubArtifact;
-  run: WorkflowRun;
-}
-
-export interface CollectiveXGithubPublication {
-  artifactId: number;
-  body: Uint8Array<ArrayBuffer>;
-  dataset: CollectiveXDataset;
-  digest: string;
-  runId: number;
-  runAttempt: number;
-  version: CollectiveXVersion;
-}
-
-/**
- * Lightweight descriptor of one eligible ("tagged + success") publication run —
- * enough for the frontend JIT picker to list runs and let the operator select
- * which one to display, without eagerly loading every dataset into the client.
- */
-export interface CollectiveXPublicationRun {
-  version: CollectiveXVersion;
-  runId: number;
-  runAttempt: number;
-  headSha: string;
-  digest: string;
-  generatedAt: string;
-  coverageScope: 'full' | 'partial';
-  coveredSkus: string[];
-  bytes: number;
-}
-
-// A version accumulates independent runs over time; the picker only needs a
-// recent window. Bounds the JIT fan-out (one artifact download per eligible run).
-const MAX_LISTED_RUNS = 40;
-
-class CollectiveXPublicationError extends Error {
-  readonly code: PublicationErrorCode;
+class CollectiveXSweepError extends Error {
+  readonly code: SweepErrorCode;
 
-  constructor(code: PublicationErrorCode, message: string, options?: ErrorOptions) {
+  constructor(code: SweepErrorCode, message: string, options?: ErrorOptions) {
     super(message, options);
-    this.name = 'CollectiveXPublicationError';
+    this.name = 'CollectiveXSweepError';
     this.code = code;
   }
 }
 
-export function collectiveXPublicationErrorCode(error: unknown): PublicationErrorCode | null {
-  return error instanceof CollectiveXPublicationError ? error.code : null;
+export function collectiveXSweepErrorCode(error: unknown): SweepErrorCode | null {
+  return error instanceof CollectiveXSweepError ? error.code : null;
 }
 
-const digestCache = new Map<
-  string,
-  { expiresAt: number; publication: CollectiveXGithubPublication }
->();
+const runCache = new Map<string, { expiresAt: number; promise: Promise<CollectiveXDataset> }>();
 const latestCache = new Map<
   CollectiveXVersion,
-  { expiresAt: number; promise: Promise<CollectiveXGithubPublication> }
+  { expiresAt: number; promise: Promise<CollectiveXDataset> }
 >();
-const runsCache = new Map<
+const listCache = new Map<
   CollectiveXVersion,
-  { expiresAt: number; promise: Promise<CollectiveXPublicationRun[]> }
+  { expiresAt: number; promise: Promise<CollectiveXRunSummary[]> }
 >();
 
 function githubHeaders(token: string) {
@@ -148,226 +122,331 @@ async function githubFetch(url: string, token: string): Promise<Response> {
     }
     await waitBeforeRetry(attempt);
   }
-  throw new CollectiveXPublicationError('unavailable', 'GitHub request failed', {
-    cause: lastError,
-  });
+  throw new CollectiveXSweepError('unavailable', 'GitHub request failed', { cause: lastError });
 }
 
-async function* publicationCandidates(
-  version: CollectiveXVersion,
-  token: string,
-): AsyncGenerator<PublicationCandidate> {
-  let page = 1;
-  let visitedRuns = 0;
-  let totalRuns: number | null = null;
+function requireToken(): string {
+  const token = process.env.GITHUB_TOKEN;
+  if (!token) throw new CollectiveXSweepError('unavailable', 'GITHUB_TOKEN is not configured');
+  return token;
+}
 
-  while (totalRuns === null || visitedRuns < totalRuns) {
+function isSweepRun(run: WorkflowRun): boolean {
+  return (
+    run.name === WORKFLOW_NAME &&
+    run.path === WORKFLOW_PATH &&
+    run.head_branch === BRANCH &&
+    Number.isSafeInteger(run.id) &&
+    run.id > 0 &&
+    Number.isSafeInteger(run.run_attempt) &&
+    run.run_attempt > 0
+  );
+}
+
+function runGeneratedAt(run: WorkflowRun): string {
+  return run.updated_at || run.run_started_at || run.created_at || '';
+}
+
+// Newest-first stream of completed sweep runs on the branch. Discovery never
+// gates on conclusion — a red or partial run still surfaces what it produced.
+async function* sweepRuns(token: string): AsyncGenerator<WorkflowRun> {
+  let page = 1;
+  let visited = 0;
+  let total: number | null = null;
+  while (total === null || visited < total) {
     const parameters = new URLSearchParams({
       branch: BRANCH,
       status: 'completed',
       per_page: String(RUNS_PER_PAGE),
       page: String(page),
     });
-    const runsResponse = await githubFetch(
+    const response = await githubFetch(
       `${GITHUB_API_BASE}/repos/${GITHUB_OWNER}/${GITHUB_REPO}/actions/workflows/${WORKFLOW_FILE}/runs?${parameters}`,
       token,
     );
-    if (!runsResponse.ok) {
-      throw new CollectiveXPublicationError(
+    if (!response.ok) {
+      throw new CollectiveXSweepError(
         'unavailable',
-        `GitHub publication discovery failed (${runsResponse.status})`,
+        `GitHub run discovery failed (${response.status})`,
       );
     }
-    const payload = (await runsResponse.json()) as {
+    const payload = (await response.json()) as {
       total_count?: number;
       workflow_runs?: WorkflowRun[];
     };
     const runs = payload.workflow_runs ?? [];
     if (
-      totalRuns === null &&
+      total === null &&
       Number.isSafeInteger(payload.total_count) &&
       (payload.total_count ?? -1) >= 0
     ) {
-      totalRuns = payload.total_count!;
+      total = payload.total_count!;
     }
     if (runs.length === 0) break;
-    visitedRuns += runs.length;
+    visited += runs.length;
+    for (const run of runs) if (isSweepRun(run)) yield run;
+    if (runs.length < RUNS_PER_PAGE || (total !== null && visited >= total)) break;
+    page += 1;
+  }
+}
 
-    for (const run of runs) {
-      if (
-        run.name !== WORKFLOW_NAME ||
-        run.path !== WORKFLOW_PATH ||
-        run.head_branch !== BRANCH ||
-        run.status !== 'completed' ||
-        run.conclusion !== 'success' ||
-        !Number.isSafeInteger(run.id) ||
-        run.id <= 0 ||
-        !Number.isSafeInteger(run.run_attempt) ||
-        run.run_attempt <= 0 ||
-        !/^[a-f0-9]{40}$/.test(run.head_sha)
-      ) {
-        continue;
-      }
-      const artifactsResponse = await githubFetch(
-        `${GITHUB_API_BASE}/repos/${GITHUB_OWNER}/${GITHUB_REPO}/actions/runs/${run.id}/artifacts?per_page=100`,
-        token,
-      );
-      if (!artifactsResponse.ok) {
-        throw new CollectiveXPublicationError(
-          'unavailable',
-          `GitHub artifact discovery failed (${artifactsResponse.status})`,
-        );
-      }
-      const artifacts = ((await artifactsResponse.json()) as { artifacts?: GithubArtifact[] })
-        .artifacts;
-      const expectedName = `cxpublication-${version}-${run.id}-${run.run_attempt}`;
-      const matching = (artifacts ?? []).filter(
-        (artifact) => artifact.name === expectedName && !artifact.expired,
+async function listArtifacts(runId: number, token: string): Promise<GithubArtifact[]> {
+  const artifacts: GithubArtifact[] = [];
+  let page = 1;
+  let total: number | null = null;
+  while (total === null || artifacts.length < total) {
+    const response = await githubFetch(
+      `${GITHUB_API_BASE}/repos/${GITHUB_OWNER}/${GITHUB_REPO}/actions/runs/${runId}/artifacts?per_page=${ARTIFACTS_PER_PAGE}&page=${page}`,
+      token,
+    );
+    if (!response.ok) {
+      throw new CollectiveXSweepError(
+        'unavailable',
+        `GitHub artifact discovery failed (${response.status})`,
       );
-      if (matching.length > 1) {
-        throw new CollectiveXPublicationError('invalid', 'publication run has duplicate artifacts');
-      }
-      if (matching[0]) yield { artifact: matching[0], run };
     }
-
-    if (runs.length < RUNS_PER_PAGE || (totalRuns !== null && visitedRuns >= totalRuns)) break;
+    const payload = (await response.json()) as {
+      total_count?: number;
+      artifacts?: GithubArtifact[];
+    };
+    const page_artifacts = payload.artifacts ?? [];
+    if (
+      total === null &&
+      Number.isSafeInteger(payload.total_count) &&
+      (payload.total_count ?? -1) >= 0
+    ) {
+      total = payload.total_count!;
+    }
+    if (page_artifacts.length === 0) break;
+    artifacts.push(...page_artifacts);
+    if (page_artifacts.length < ARTIFACTS_PER_PAGE) break;
     page += 1;
   }
+  return artifacts.filter((artifact) => !artifact.expired);
 }
 
-async function downloadPublication(
-  version: CollectiveXVersion,
-  candidate: PublicationCandidate,
-  token: string,
-): Promise<CollectiveXGithubPublication> {
-  const policy = PUBLICATION_POLICY[version];
-  if (
-    candidate.artifact.size_in_bytes !== undefined &&
-    candidate.artifact.size_in_bytes > MAX_PUBLICATION_BYTES
-  ) {
-    throw new CollectiveXPublicationError('invalid', 'publication artifact is oversized');
+function hasMatrixArtifact(artifacts: GithubArtifact[]): boolean {
+  return artifacts.some((artifact) => artifact.name.startsWith(MATRIX_PREFIX));
+}
+
+async function collectDocs(artifact: GithubArtifact, token: string): Promise<unknown[]> {
+  if (artifact.size_in_bytes !== undefined && artifact.size_in_bytes > MAX_ARTIFACT_BYTES) {
+    throw new CollectiveXSweepError('invalid', `artifact ${artifact.name} is oversized`);
   }
-  const response = await githubFetch(candidate.artifact.archive_download_url, token);
+  const response = await githubFetch(artifact.archive_download_url, token);
   if (!response.ok) {
-    throw new CollectiveXPublicationError(
+    throw new CollectiveXSweepError(
       'unavailable',
-      `GitHub publication download failed (${response.status})`,
+      `GitHub artifact download failed (${response.status})`,
     );
   }
-  const declaredBytes = Number(response.headers.get('Content-Length') ?? 0);
-  if (declaredBytes > MAX_PUBLICATION_BYTES) {
-    throw new CollectiveXPublicationError('invalid', 'publication archive is oversized');
-  }
   const archive = Buffer.from(await response.arrayBuffer());
-  if (archive.byteLength > MAX_PUBLICATION_BYTES) {
-    throw new CollectiveXPublicationError('invalid', 'publication archive is oversized');
+  if (archive.byteLength > MAX_ARTIFACT_BYTES) {
+    throw new CollectiveXSweepError('invalid', `artifact ${artifact.name} archive is oversized`);
   }
-
   let zip: AdmZip;
   try {
     zip = new AdmZip(archive);
   } catch (error) {
-    throw new CollectiveXPublicationError('invalid', 'publication artifact is not a ZIP', {
+    throw new CollectiveXSweepError('invalid', `artifact ${artifact.name} is not a ZIP`, {
       cause: error,
     });
   }
-  const entries = zip.getEntries().filter((entry) => !entry.isDirectory);
-  if (
-    entries.length !== 1 ||
-    entries[0].entryName.includes('/') ||
-    !policy.file.test(entries[0].entryName)
-  ) {
-    throw new CollectiveXPublicationError('invalid', 'publication archive layout is invalid');
+  const docs: unknown[] = [];
+  for (const entry of zip.getEntries()) {
+    if (entry.isDirectory || !entry.entryName.endsWith('.json')) continue;
+    let text: string;
+    try {
+      text = new TextDecoder('utf-8', { fatal: true }).decode(entry.getData());
+    } catch (error) {
+      throw new CollectiveXSweepError('invalid', `artifact ${artifact.name} has non-UTF-8 entry`, {
+        cause: error,
+      });
+    }
+    try {
+      docs.push(JSON.parse(text));
+    } catch (error) {
+      throw new CollectiveXSweepError('invalid', `artifact ${artifact.name} has invalid JSON`, {
+        cause: error,
+      });
+    }
+  }
+  return docs;
+}
+
+// A run's validated matrix, its selectable version tag, and the artifacts that
+// feed dataset assembly. Kept separate from assembly so run selection can read
+// the version tag cheaply (matrix docs are tiny) before committing to a build.
+interface MatrixCandidate {
+  matrixDoc: unknown;
+  version: number;
+  matrixArtifacts: GithubArtifact[];
+  resultArtifacts: GithubArtifact[];
+}
+
+function matrixVersion(doc: unknown): number | null {
+  const value = (doc as { version?: unknown } | null)?.version;
+  return typeof value === 'number' && Number.isSafeInteger(value) && value > 0 ? value : null;
+}
+
+// Download + structurally validate a run's matrix artifact and read its neutral
+// `version` tag. The format string (collectivex.matrix.v1) gates schema shape;
+// the numeric `version` field is the content axis the frontend selects on.
+async function loadMatrixCandidate(
+  artifacts: GithubArtifact[],
+  token: string,
+): Promise<MatrixCandidate> {
+  const matrixArtifacts = artifacts.filter((artifact) => artifact.name.startsWith(MATRIX_PREFIX));
+  if (matrixArtifacts.length === 0) {
+    throw new CollectiveXSweepError('not-found', 'sweep run has no matrix artifact');
   }
-  if (entries[0].header.size > MAX_PUBLICATION_BYTES) {
-    throw new CollectiveXPublicationError('invalid', 'publication dataset is oversized');
+  const matrixDocs: unknown[] = [];
+  for (const artifact of matrixArtifacts) matrixDocs.push(...(await collectDocs(artifact, token)));
+  const matrixCandidates = matrixDocs.filter(
+    (doc) => (doc as { format?: unknown } | null)?.format === 'collectivex.matrix.v1',
+  );
+  if (matrixCandidates.length !== 1) {
+    throw new CollectiveXSweepError('invalid', 'sweep run must carry exactly one matrix document');
   }
-  const bytes = entries[0].getData();
-  if (bytes.byteLength === 0 || bytes.byteLength > MAX_PUBLICATION_BYTES) {
-    throw new CollectiveXPublicationError('invalid', 'publication dataset size is invalid');
+  const version = matrixVersion(matrixCandidates[0]);
+  if (version === null) {
+    throw new CollectiveXSweepError('invalid', 'matrix document has no valid version tag');
   }
+  const resultArtifacts = artifacts.filter(
+    (artifact) =>
+      artifact.name.startsWith(SHARD_PREFIX) || artifact.name.startsWith(TERMINAL_PREFIX),
+  );
+  return { matrixDoc: matrixCandidates[0], version, matrixArtifacts, resultArtifacts };
+}
 
-  let text: string;
-  try {
-    text = new TextDecoder('utf-8', { fatal: true }).decode(bytes);
-  } catch (error) {
-    throw new CollectiveXPublicationError('invalid', 'publication dataset is not UTF-8', {
-      cause: error,
-    });
+async function assembleRun(
+  run: WorkflowRun,
+  candidate: MatrixCandidate,
+  token: string,
+): Promise<CollectiveXDataset> {
+  const generatedAt = runGeneratedAt(run);
+  if (!generatedAt) {
+    throw new CollectiveXSweepError('invalid', 'sweep run is missing a timestamp');
   }
-  const lines = text.split('\n');
-  if (lines.length !== 2 || lines[1] !== '' || lines[0].length === 0 || lines[0].includes('\r')) {
-    throw new CollectiveXPublicationError(
-      'invalid',
-      'publication artifact must contain exactly one NDJSON record',
-    );
+
+  let totalBytes = 0;
+  for (const artifact of [...candidate.matrixArtifacts, ...candidate.resultArtifacts]) {
+    totalBytes += artifact.size_in_bytes ?? 0;
+    if (totalBytes > MAX_RUN_BYTES) {
+      throw new CollectiveXSweepError('invalid', 'sweep run artifacts exceed the size budget');
+    }
+  }
+
+  const docs: unknown[] = [];
+  for (const artifact of candidate.resultArtifacts) {
+    docs.push(...(await collectDocs(artifact, token)));
   }
-  let dataset: CollectiveXDataset;
+
+  const meta: CollectiveXNeutralRunMeta = {
+    run_id: String(run.id),
+    run_attempt: run.run_attempt,
+    generated_at: generatedAt,
+    conclusion: run.conclusion,
+    matrix_id: null,
+    source_bundle_ids: [...candidate.matrixArtifacts, ...candidate.resultArtifacts].map(
+      (artifact) => artifact.name,
+    ),
+  };
+
   try {
-    dataset = parseCollectiveXDatasetText(lines[0]);
+    return buildDatasetFromNeutral(candidate.matrixDoc, docs, meta);
   } catch (error) {
-    throw new CollectiveXPublicationError('invalid', 'publication dataset failed validation', {
+    throw new CollectiveXSweepError('invalid', 'sweep run artifacts failed validation', {
       cause: error,
     });
   }
-  if (dataset.promotion.status !== 'promoted') {
-    throw new CollectiveXPublicationError('invalid', 'publication dataset is not promoted');
-  }
-  const digest = createHash('sha256').update(bytes).digest('hex');
-  const namedDigest = policy.file.exec(entries[0].entryName)?.groups?.digest;
-  if (digest !== namedDigest) {
-    throw new CollectiveXPublicationError('invalid', 'publication filename digest differs');
-  }
-  return {
-    artifactId: candidate.artifact.id,
-    body: Uint8Array.from(bytes),
-    dataset,
-    digest,
-    runId: candidate.run.id,
-    runAttempt: candidate.run.run_attempt,
-    version,
-  };
 }
 
-async function fetchPublication(
+async function fetchRunById(
   version: CollectiveXVersion,
-  digest?: string,
-): Promise<CollectiveXGithubPublication> {
-  const token = process.env.GITHUB_TOKEN;
-  if (!token) {
-    throw new CollectiveXPublicationError('unavailable', 'GITHUB_TOKEN is not configured');
+  runId: string,
+): Promise<CollectiveXDataset> {
+  const token = requireToken();
+  const numericId = Number(runId);
+  if (!Number.isSafeInteger(numericId) || numericId <= 0) {
+    throw new CollectiveXSweepError('not-found', 'invalid run id');
   }
-  let foundCandidate = false;
-  for await (const candidate of publicationCandidates(version, token)) {
-    foundCandidate = true;
-    const publication = await downloadPublication(version, candidate, token);
-    digestCache.set(`${version}:${publication.digest}`, {
-      expiresAt: Date.now() + DIGEST_TTL_MS,
-      publication,
-    });
-    if (!digest || publication.digest === digest) return publication;
+  const response = await githubFetch(
+    `${GITHUB_API_BASE}/repos/${GITHUB_OWNER}/${GITHUB_REPO}/actions/runs/${numericId}`,
+    token,
+  );
+  if (response.status === 404) {
+    throw new CollectiveXSweepError('not-found', 'sweep run not found');
+  }
+  if (!response.ok) {
+    throw new CollectiveXSweepError('unavailable', `GitHub run lookup failed (${response.status})`);
+  }
+  const run = (await response.json()) as WorkflowRun;
+  if (!isSweepRun(run)) {
+    throw new CollectiveXSweepError('not-found', 'run is not a CollectiveX sweep');
+  }
+  const artifacts = await listArtifacts(run.id, token);
+  const candidate = await loadMatrixCandidate(artifacts, token);
+  if (candidate.version !== version) {
+    throw new CollectiveXSweepError('not-found', 'run does not match the requested version');
+  }
+  return assembleRun(run, candidate, token);
+}
+
+async function fetchLatestRun(version: CollectiveXVersion): Promise<CollectiveXDataset> {
+  const token = requireToken();
+  // Newest-wins within the requested version: skip runs tagged for another
+  // version rather than erroring, so a future vN rollout never breaks vN-1.
+  for await (const run of sweepRuns(token)) {
+    const artifacts = await listArtifacts(run.id, token);
+    if (!hasMatrixArtifact(artifacts)) continue;
+    const candidate = await loadMatrixCandidate(artifacts, token);
+    if (candidate.version !== version) continue;
+    return assembleRun(run, candidate, token);
   }
-  if (!foundCandidate) {
-    throw new CollectiveXPublicationError('not-found', 'no CollectiveX publication artifact');
+  throw new CollectiveXSweepError('not-found', 'no CollectiveX sweep run with artifacts');
+}
+
+async function fetchRunList(version: CollectiveXVersion): Promise<CollectiveXRunSummary[]> {
+  const token = requireToken();
+  const summaries: CollectiveXRunSummary[] = [];
+  for await (const run of sweepRuns(token)) {
+    const artifacts = await listArtifacts(run.id, token);
+    if (!hasMatrixArtifact(artifacts)) continue;
+    const candidate = await loadMatrixCandidate(artifacts, token);
+    if (candidate.version !== version) continue;
+    const cacheKey = `${version}:${run.id}`;
+    let datasetPromise = runCache.get(cacheKey)?.promise;
+    if (!datasetPromise) {
+      datasetPromise = assembleRun(run, candidate, token);
+      runCache.set(cacheKey, { expiresAt: Date.now() + RUN_TTL_MS, promise: datasetPromise });
+      datasetPromise.catch(() => runCache.delete(cacheKey));
+    }
+    summaries.push(buildRunSummary(await datasetPromise));
+    if (summaries.length >= MAX_LISTED_RUNS) break;
   }
-  throw new CollectiveXPublicationError('not-found', 'CollectiveX publication digest not found');
+  return summaries;
 }
 
-export function loadCollectiveXPublication(
+export function loadCollectiveXSweepRun(
   version: CollectiveXVersion,
-  digest?: string,
-): Promise<CollectiveXGithubPublication> {
+  runId?: string,
+): Promise<CollectiveXDataset> {
   const now = Date.now();
-  if (digest) {
-    const cacheKey = `${version}:${digest}`;
-    const cached = digestCache.get(cacheKey);
-    if (cached && cached.expiresAt > now) return Promise.resolve(cached.publication);
-    digestCache.delete(cacheKey);
-    return fetchPublication(version, digest);
+  if (runId) {
+    const cacheKey = `${version}:${runId}`;
+    const cached = runCache.get(cacheKey);
+    if (cached && cached.expiresAt > now) return cached.promise;
+    const promise = fetchRunById(version, runId).catch((error) => {
+      runCache.delete(cacheKey);
+      throw error;
+    });
+    runCache.set(cacheKey, { expiresAt: now + RUN_TTL_MS, promise });
+    return promise;
   }
   const cached = latestCache.get(version);
   if (cached && cached.expiresAt > now) return cached.promise;
-  const promise = fetchPublication(version).catch((error) => {
+  const promise = fetchLatestRun(version).catch((error) => {
     latestCache.delete(version);
     throw error;
   });
@@ -375,58 +454,22 @@ export function loadCollectiveXPublication(
   return promise;
 }
 
-async function fetchPublicationRuns(
-  version: CollectiveXVersion,
-): Promise<CollectiveXPublicationRun[]> {
-  const token = process.env.GITHUB_TOKEN;
-  if (!token) {
-    throw new CollectiveXPublicationError('unavailable', 'GITHUB_TOKEN is not configured');
-  }
-  const runs: CollectiveXPublicationRun[] = [];
-  for await (const candidate of publicationCandidates(version, token)) {
-    const publication = await downloadPublication(version, candidate, token);
-    digestCache.set(`${version}:${publication.digest}`, {
-      expiresAt: Date.now() + DIGEST_TTL_MS,
-      publication,
-    });
-    const promotion = publication.dataset.promotion;
-    runs.push({
-      version,
-      runId: publication.runId,
-      runAttempt: publication.runAttempt,
-      headSha: candidate.run.head_sha,
-      digest: publication.digest,
-      generatedAt: publication.dataset.generated_at,
-      coverageScope: promotion.coverage_scope ?? 'full',
-      coveredSkus:
-        promotion.covered_skus ??
-        [...new Set(publication.dataset.coverage.map((item) => item.sku))].toSorted(),
-      bytes: publication.body.byteLength,
-    });
-    if (runs.length >= MAX_LISTED_RUNS) break;
-  }
-  // Most recent first — the GitHub runs feed is already newest-first, but a run
-  // may re-emit a prior digest; de-duplicate on runId keeping the first (newest).
-  const seen = new Set<number>();
-  return runs.filter((run) => (seen.has(run.runId) ? false : (seen.add(run.runId), true)));
-}
-
-export function listCollectiveXPublications(
+export function listCollectiveXSweepRuns(
   version: CollectiveXVersion,
-): Promise<CollectiveXPublicationRun[]> {
+): Promise<CollectiveXRunSummary[]> {
   const now = Date.now();
-  const cached = runsCache.get(version);
+  const cached = listCache.get(version);
   if (cached && cached.expiresAt > now) return cached.promise;
-  const promise = fetchPublicationRuns(version).catch((error) => {
-    runsCache.delete(version);
+  const promise = fetchRunList(version).catch((error) => {
+    listCache.delete(version);
     throw error;
   });
-  runsCache.set(version, { expiresAt: now + LATEST_TTL_MS, promise });
+  listCache.set(version, { expiresAt: now + LATEST_TTL_MS, promise });
   return promise;
 }
 
-export function clearCollectiveXPublicationCache(): void {
-  digestCache.clear();
+export function clearCollectiveXSweepCache(): void {
+  runCache.clear();
   latestCache.clear();
-  runsCache.clear();
+  listCache.clear();
 }

From 9349fec831ee707b3df53fe79cf886cedbfeefd6 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 8 Jul 2026 23:33:54 +0800
Subject: [PATCH 11/37] Touchup

---
 packages/app/cypress/e2e/collectivex.cy.ts    |  22 +-
 .../collectivex/CollectiveXDisplay.tsx        | 506 ++++++++++--------
 .../collectivex/CollectiveXInventory.tsx      | 241 ++++-----
 .../src/components/collectivex/data.test.ts   |   8 +
 .../app/src/components/collectivex/data.ts    |   4 +
 packages/app/src/lib/dynamic-colors.test.ts   |  48 ++
 packages/app/src/lib/dynamic-colors.ts        |   3 +
 7 files changed, 481 insertions(+), 351 deletions(-)
 create mode 100644 packages/app/src/lib/dynamic-colors.test.ts

diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index 55af83195..84c7c8e54 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -114,17 +114,32 @@ describe('CollectiveX neutral run view', () => {
     cy.get('[data-testid="collectivex-run-conclusion"]').should('contain.text', `#${runId}`);
   });
 
-  it('presents the full matrix inventory with a selected case detail', () => {
+  it('presents the full matrix inventory in its own tab', () => {
+    cy.contains('[role="tab"]', 'Matrix case inventory').click();
+    cy.location('hash').should('eq', '#tab-inventory');
     cy.get('[data-testid="collectivex-inventory"]')
       .should('contain.text', 'Matrix case inventory')
       .and('contain.text', `${dataset.coverage.length} of ${dataset.coverage.length} cases`);
     cy.get('[data-testid="collectivex-inventory-table"]')
       .should('contain.text', 'H200-DGXC')
       .and('contain.text', 'B300-SXM');
+    // The graph tab is the default, so the inventory is hidden until requested.
+    cy.contains('[role="tab"]', 'EP results').click();
+    cy.get('[data-testid="collectivex-inventory"]').should('not.exist');
+  });
+
+  it('jumps to the selected matrix case tab when a case is inspected', () => {
+    cy.contains('[role="tab"]', 'Selected matrix case').click();
     cy.get('[data-testid="collectivex-case-detail"]').should(
       'contain.text',
       'Selected matrix case',
     );
+    cy.contains('[role="tab"]', 'Matrix case inventory').click();
+    cy.get('[data-testid="collectivex-inventory-table"] button[aria-label^="Inspect"]')
+      .last()
+      .click();
+    cy.location('hash').should('eq', '#tab-case');
+    cy.get('[data-testid="collectivex-case-detail"]').should('be.visible');
   });
 
   it('exposes terminal coverage, retained attempts, and run provenance in Evidence', () => {
@@ -188,12 +203,13 @@ describe('CollectiveX availability states', () => {
   });
 
   it('renders the loading state while the run resolves', () => {
+    // "slow" is a reserved alias word in Cypress 15.
     cy.intercept('GET', '/collectivex-data/1/latest.json', { body: dataset, delay: 500 }).as(
-      'slow',
+      'slowLatest',
     );
     cy.visit('/collectivex');
     cy.get('[data-testid="collectivex-loading"]').should('be.visible');
-    cy.wait('@slow');
+    cy.wait('@slowLatest');
     cy.get('[data-testid="collectivex-display"]').should('be.visible');
   });
 
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index c79edb28f..c6d7589c4 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -22,7 +22,7 @@ import { track } from '@/lib/analytics';
 import { useLocale } from '@/lib/use-locale';
 
 import { CollectiveXChart } from './CollectiveXChart';
-import { CollectiveXInventory } from './CollectiveXInventory';
+import { CollectiveXCaseDetail, CollectiveXInventory } from './CollectiveXInventory';
 import { CollectiveXAttemptTable, CollectiveXCoverageTable } from './CollectiveXTables';
 import {
   collectiveXColorKey,
@@ -48,7 +48,7 @@ import {
   type CollectiveXYAxis,
 } from './types';
 
-type CollectiveXTab = 'results' | 'evidence';
+type CollectiveXTab = 'results' | 'inventory' | 'case' | 'evidence';
 interface SelectOption<T extends string | number> {
   value: T;
   label: string;
@@ -60,7 +60,7 @@ const PERCENTILE_OPTIONS: SegmentedToggleOption<CollectiveXPercentile>[] = [
   { value: 'p95', label: 'p95' },
   { value: 'p99', label: 'p99' },
 ];
-const TAB_VALUES: CollectiveXTab[] = ['results', 'evidence'];
+const TAB_VALUES: CollectiveXTab[] = ['results', 'inventory', 'case', 'evidence'];
 // Neutral MVP: no promotion/cohort/eligibility layer. The view is the measured
 // series set for one run, filtered by the identity axes the neutral shard carries.
 // Strings that describe that retired decision layer are gone; the remaining zh
@@ -100,7 +100,13 @@ const STRINGS = {
       'activation-only': 'Activation-only combine',
       'gate-weighted': 'Gate-weighted combine',
     },
-    tabs: { results: 'EP results', evidence: 'Evidence' },
+    tabs: {
+      results: 'EP results',
+      inventory: 'Matrix case inventory',
+      case: 'Selected matrix case',
+      evidence: 'Evidence',
+    },
+    noCases: 'This run has no matrix cases to inspect.',
     all: 'All',
     loading: 'Resolving CollectiveX run...',
     unavailable: 'CollectiveX run unavailable',
@@ -222,7 +228,13 @@ const STRINGS = {
     },
     // English-only per the repository's temporary language override (no new
     // Chinese text); keys added for the neutral view mirror the en values.
-    tabs: { results: 'EP results', evidence: '证据' },
+    tabs: {
+      results: 'EP results',
+      inventory: 'Matrix case inventory',
+      case: 'Selected matrix case',
+      evidence: '证据',
+    },
+    noCases: 'This run has no matrix cases to inspect.',
     all: '全部',
     loading: 'Resolving CollectiveX run...',
     unavailable: 'CollectiveX run unavailable',
@@ -446,11 +458,24 @@ export default function CollectiveXDisplay() {
   }, [runsQuery.data, selectedRunId]);
   const tabOptions: { value: CollectiveXTab; label: string }[] = [
     { value: 'results', label: t.tabs.results },
+    { value: 'inventory', label: t.tabs.inventory },
+    { value: 'case', label: t.tabs.case },
     { value: 'evidence', label: t.tabs.evidence },
   ];
 
   const dataset = data?.dataset;
   const sourceSha = useMemo(() => runSourceSha(dataset?.series ?? []), [dataset?.series]);
+  // Selection for the "Selected matrix case" tab. Falls back to the first
+  // coverage row so the tab is never empty when the run has cases; a stale id
+  // (e.g. after pinning a different run) falls back the same way.
+  const [selectedCaseId, setSelectedCaseId] = useState<string | null>(null);
+  const selectedCase = useMemo(
+    () =>
+      (dataset?.coverage ?? []).find((item) => item.case_id === selectedCaseId) ??
+      dataset?.coverage[0] ??
+      null,
+    [dataset?.coverage, selectedCaseId],
+  );
   const availableModes = useMemo(
     () =>
       [...new Set(dataset?.series.map((item) => item.mode))].toSorted((left, right) =>
@@ -621,6 +646,15 @@ export default function CollectiveXDisplay() {
     window.location.hash = `tab-${next}`;
     track('collectivex_tab_changed', { tab: next });
   }, []);
+  // Inspecting a case from the inventory jumps to the detail tab.
+  const handleInspectCase = useCallback(
+    (caseId: string) => {
+      setSelectedCaseId(caseId);
+      handleTab('case');
+      track('collectivex_case_inspected', { case: caseId });
+    },
+    [handleTab],
+  );
 
   if (isLoading) {
     return (
@@ -757,229 +791,6 @@ export default function CollectiveXDisplay() {
         </div>
       </Card>
 
-      <CollectiveXInventory dataset={dataset} />
-
-      <Card className="py-4 md:py-5">
-        <div className="grid gap-x-5 gap-y-3 sm:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6">
-          <SelectControl
-            label={t.version}
-            testId="collectivex-version-select"
-            value={version}
-            options={versionOptions}
-            onChange={(value) => {
-              setVersion(value);
-              track('collectivex_version_changed', { version: value });
-            }}
-          />
-          <ControlGroup label={t.runControl}>
-            {runsRequested ? (
-              runsQuery.isLoading ? (
-                <Button
-                  variant="outline"
-                  className="w-full justify-center"
-                  disabled
-                  data-testid="collectivex-runs-loading"
-                >
-                  <Loader2 className="size-4 animate-spin" />
-                  {t.loadingRuns}
-                </Button>
-              ) : runsQuery.error || !runsQuery.data ? (
-                <Button
-                  variant="outline"
-                  className="w-full justify-center"
-                  data-testid="collectivex-runs-retry"
-                  onClick={() => void runsQuery.refetch()}
-                >
-                  <RefreshCw className="size-4" />
-                  {t.retry}
-                </Button>
-              ) : (
-                <Select
-                  value={selectedRunId ?? 'latest'}
-                  onValueChange={(next) => {
-                    setSelectedRunId(next === 'latest' ? null : next);
-                    track('collectivex_run_selected', { version, run: next });
-                  }}
-                >
-                  <SelectTrigger data-testid="collectivex-run-select" className="min-w-0 w-full">
-                    <SelectValue />
-                  </SelectTrigger>
-                  <SelectContent>
-                    {runOptions.map((item) => (
-                      <SelectItem key={item.value} value={item.value}>
-                        {item.label}
-                      </SelectItem>
-                    ))}
-                  </SelectContent>
-                </Select>
-              )
-            ) : (
-              <Button
-                variant="outline"
-                className="w-full justify-center"
-                data-testid="collectivex-load-runs"
-                onClick={() => {
-                  setRunsRequested(true);
-                  track('collectivex_runs_requested', { version });
-                }}
-              >
-                {t.loadRuns}
-              </Button>
-            )}
-          </ControlGroup>
-          <ControlGroup label={t.modeControl}>
-            <SegmentedToggle
-              value={mode}
-              options={availableModes.map((value) => ({ value, label: t.mode[value] }))}
-              onValueChange={(value) => {
-                setMode(value);
-                if (value === 'low-latency') setPhase('decode');
-                track('collectivex_mode_changed', { mode: value });
-              }}
-              ariaLabel={t.modeAria}
-              testId="collectivex-mode-select"
-              className="flex w-full overflow-hidden"
-              buttonClassName="min-w-0 flex-1 justify-center px-1.5 whitespace-nowrap"
-            />
-          </ControlGroup>
-          <SelectControl
-            label={t.epControl}
-            testId="collectivex-ep-select"
-            value={String(epSize)}
-            options={availableEpSizes.map((value) => ({
-              value: String(value),
-              label: `EP${value}`,
-            }))}
-            onChange={(value) => {
-              setEpSize(Number(value));
-              track('collectivex_ep_changed', { ep: Number(value) });
-            }}
-          />
-          <ControlGroup label={t.fabricScopeControl}>
-            <SegmentedToggle
-              value={fabricScope}
-              options={fabricScopeOptions}
-              onValueChange={(value) => {
-                setFabricScope(value);
-                track('collectivex_fabric_scope_changed', { fabric_scope: value });
-              }}
-              ariaLabel={t.fabricScopeAria}
-              testId="collectivex-fabric-scope-toggle"
-              className="flex w-full overflow-hidden"
-              buttonClassName="min-w-0 flex-1 justify-center px-1.5 whitespace-nowrap"
-            />
-          </ControlGroup>
-          <SelectControl
-            label={t.operationControl}
-            testId="collectivex-operation-select"
-            value={operation}
-            options={operationOptions}
-            onChange={(next) => {
-              setOperation(next);
-              if (next !== 'roundtrip' && yAxis === 'tokens-per-second') setYAxis('latency');
-              if (
-                next === 'isolated-sum' &&
-                (yAxis === 'activation-rate' || yAxis === 'total-logical-rate')
-              )
-                setYAxis('latency');
-            }}
-          />
-          <ControlGroup label={t.phaseControl}>
-            <SegmentedToggle
-              value={phase}
-              options={phaseOptions}
-              onValueChange={setPhase}
-              ariaLabel={t.phaseAria}
-              testId="collectivex-phase-toggle"
-            />
-          </ControlGroup>
-          <ControlGroup label={t.latencyPercentile}>
-            <SegmentedToggle
-              value={percentile}
-              options={PERCENTILE_OPTIONS}
-              onValueChange={setPercentile}
-              ariaLabel={t.percentileAria}
-              testId="collectivex-percentile-toggle"
-            />
-          </ControlGroup>
-          <SelectControl
-            label={t.sku}
-            testId="collectivex-sku-select"
-            value={sku}
-            options={selectOptions(skuOptions, t.all, true)}
-            onChange={setSku}
-          />
-          <SelectControl
-            label={t.backend}
-            testId="collectivex-backend-select"
-            value={backend}
-            options={selectOptions(backendOptions, t.all)}
-            onChange={setBackend}
-          />
-          <SelectControl
-            label={t.routing}
-            testId="collectivex-routing-select"
-            value={routing}
-            options={selectOptions(routingOptions, t.all)}
-            onChange={setRouting}
-          />
-          <SelectControl
-            label={t.xAxisControl}
-            testId="collectivex-x-axis-select"
-            value={xAxis}
-            options={xAxisOptions}
-            onChange={setXAxis}
-          />
-          <ControlGroup label={t.xScale}>
-            <SegmentedToggle
-              value={xScale}
-              options={scaleOptions}
-              onValueChange={setXScale}
-              ariaLabel={t.xScaleAria}
-              testId="collectivex-x-scale-toggle"
-            />
-          </ControlGroup>
-          <SelectControl
-            label={t.yAxisControl}
-            testId="collectivex-y-axis-select"
-            value={yAxis}
-            onChange={setYAxis}
-            options={[
-              { value: 'latency', label: t.yAxis.latency },
-              ...(operation === 'roundtrip'
-                ? ([
-                    {
-                      value: 'tokens-per-second',
-                      label: t.tokenRateOption,
-                    },
-                  ] as const)
-                : []),
-              ...(operation === 'isolated-sum'
-                ? []
-                : ([
-                    {
-                      value: 'activation-rate',
-                      label: 'Activation-data rate at latency percentile',
-                    },
-                    {
-                      value: 'total-logical-rate',
-                      label: 'Total logical data rate at latency percentile',
-                    },
-                  ] as const)),
-            ]}
-          />
-          <ControlGroup label={t.yScale}>
-            <SegmentedToggle
-              value={yScale}
-              options={scaleOptions}
-              onValueChange={setYScale}
-              ariaLabel={t.yScaleAria}
-              testId="collectivex-y-scale-toggle"
-            />
-          </ControlGroup>
-        </div>
-      </Card>
-
       <Tabs value={tab} onValueChange={handleTab} className="gap-4">
         <TabsList data-testid="collectivex-tabs" className="overflow-x-auto">
           {tabOptions.map((item) => (
@@ -989,6 +800,229 @@ export default function CollectiveXDisplay() {
           ))}
         </TabsList>
         <TabsContent value="results" className="space-y-4">
+          <Card className="py-4 md:py-5">
+            <div className="grid gap-x-5 gap-y-3 sm:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6">
+              <SelectControl
+                label={t.version}
+                testId="collectivex-version-select"
+                value={version}
+                options={versionOptions}
+                onChange={(value) => {
+                  setVersion(value);
+                  track('collectivex_version_changed', { version: value });
+                }}
+              />
+              <ControlGroup label={t.runControl}>
+                {runsRequested ? (
+                  runsQuery.isLoading ? (
+                    <Button
+                      variant="outline"
+                      className="w-full justify-center"
+                      disabled
+                      data-testid="collectivex-runs-loading"
+                    >
+                      <Loader2 className="size-4 animate-spin" />
+                      {t.loadingRuns}
+                    </Button>
+                  ) : runsQuery.error || !runsQuery.data ? (
+                    <Button
+                      variant="outline"
+                      className="w-full justify-center"
+                      data-testid="collectivex-runs-retry"
+                      onClick={() => void runsQuery.refetch()}
+                    >
+                      <RefreshCw className="size-4" />
+                      {t.retry}
+                    </Button>
+                  ) : (
+                    <Select
+                      value={selectedRunId ?? 'latest'}
+                      onValueChange={(next) => {
+                        setSelectedRunId(next === 'latest' ? null : next);
+                        track('collectivex_run_selected', { version, run: next });
+                      }}
+                    >
+                      <SelectTrigger
+                        data-testid="collectivex-run-select"
+                        className="min-w-0 w-full"
+                      >
+                        <SelectValue />
+                      </SelectTrigger>
+                      <SelectContent>
+                        {runOptions.map((item) => (
+                          <SelectItem key={item.value} value={item.value}>
+                            {item.label}
+                          </SelectItem>
+                        ))}
+                      </SelectContent>
+                    </Select>
+                  )
+                ) : (
+                  <Button
+                    variant="outline"
+                    className="w-full justify-center"
+                    data-testid="collectivex-load-runs"
+                    onClick={() => {
+                      setRunsRequested(true);
+                      track('collectivex_runs_requested', { version });
+                    }}
+                  >
+                    {t.loadRuns}
+                  </Button>
+                )}
+              </ControlGroup>
+              <ControlGroup label={t.modeControl}>
+                <SegmentedToggle
+                  value={mode}
+                  options={availableModes.map((value) => ({ value, label: t.mode[value] }))}
+                  onValueChange={(value) => {
+                    setMode(value);
+                    if (value === 'low-latency') setPhase('decode');
+                    track('collectivex_mode_changed', { mode: value });
+                  }}
+                  ariaLabel={t.modeAria}
+                  testId="collectivex-mode-select"
+                  className="flex w-full overflow-hidden"
+                  buttonClassName="min-w-0 flex-1 justify-center px-1.5 whitespace-nowrap"
+                />
+              </ControlGroup>
+              <SelectControl
+                label={t.epControl}
+                testId="collectivex-ep-select"
+                value={String(epSize)}
+                options={availableEpSizes.map((value) => ({
+                  value: String(value),
+                  label: `EP${value}`,
+                }))}
+                onChange={(value) => {
+                  setEpSize(Number(value));
+                  track('collectivex_ep_changed', { ep: Number(value) });
+                }}
+              />
+              <ControlGroup label={t.fabricScopeControl}>
+                <SegmentedToggle
+                  value={fabricScope}
+                  options={fabricScopeOptions}
+                  onValueChange={(value) => {
+                    setFabricScope(value);
+                    track('collectivex_fabric_scope_changed', { fabric_scope: value });
+                  }}
+                  ariaLabel={t.fabricScopeAria}
+                  testId="collectivex-fabric-scope-toggle"
+                  className="flex w-full overflow-hidden"
+                  buttonClassName="min-w-0 flex-1 justify-center px-1.5 whitespace-nowrap"
+                />
+              </ControlGroup>
+              <SelectControl
+                label={t.operationControl}
+                testId="collectivex-operation-select"
+                value={operation}
+                options={operationOptions}
+                onChange={(next) => {
+                  setOperation(next);
+                  if (next !== 'roundtrip' && yAxis === 'tokens-per-second') setYAxis('latency');
+                  if (
+                    next === 'isolated-sum' &&
+                    (yAxis === 'activation-rate' || yAxis === 'total-logical-rate')
+                  )
+                    setYAxis('latency');
+                }}
+              />
+              <ControlGroup label={t.phaseControl}>
+                <SegmentedToggle
+                  value={phase}
+                  options={phaseOptions}
+                  onValueChange={setPhase}
+                  ariaLabel={t.phaseAria}
+                  testId="collectivex-phase-toggle"
+                />
+              </ControlGroup>
+              <ControlGroup label={t.latencyPercentile}>
+                <SegmentedToggle
+                  value={percentile}
+                  options={PERCENTILE_OPTIONS}
+                  onValueChange={setPercentile}
+                  ariaLabel={t.percentileAria}
+                  testId="collectivex-percentile-toggle"
+                />
+              </ControlGroup>
+              <SelectControl
+                label={t.sku}
+                testId="collectivex-sku-select"
+                value={sku}
+                options={selectOptions(skuOptions, t.all, true)}
+                onChange={setSku}
+              />
+              <SelectControl
+                label={t.backend}
+                testId="collectivex-backend-select"
+                value={backend}
+                options={selectOptions(backendOptions, t.all)}
+                onChange={setBackend}
+              />
+              <SelectControl
+                label={t.routing}
+                testId="collectivex-routing-select"
+                value={routing}
+                options={selectOptions(routingOptions, t.all)}
+                onChange={setRouting}
+              />
+              <SelectControl
+                label={t.xAxisControl}
+                testId="collectivex-x-axis-select"
+                value={xAxis}
+                options={xAxisOptions}
+                onChange={setXAxis}
+              />
+              <ControlGroup label={t.xScale}>
+                <SegmentedToggle
+                  value={xScale}
+                  options={scaleOptions}
+                  onValueChange={setXScale}
+                  ariaLabel={t.xScaleAria}
+                  testId="collectivex-x-scale-toggle"
+                />
+              </ControlGroup>
+              <SelectControl
+                label={t.yAxisControl}
+                testId="collectivex-y-axis-select"
+                value={yAxis}
+                onChange={setYAxis}
+                options={[
+                  { value: 'latency', label: t.yAxis.latency },
+                  ...(operation === 'roundtrip'
+                    ? ([
+                        {
+                          value: 'tokens-per-second',
+                          label: t.tokenRateOption,
+                        },
+                      ] as const)
+                    : []),
+                  ...(operation === 'isolated-sum'
+                    ? []
+                    : ([
+                        {
+                          value: 'activation-rate',
+                          label: 'Activation-data rate at latency percentile',
+                        },
+                        {
+                          value: 'total-logical-rate',
+                          label: 'Total logical data rate at latency percentile',
+                        },
+                      ] as const)),
+                ]}
+              />
+              <ControlGroup label={t.yScale}>
+                <SegmentedToggle
+                  value={yScale}
+                  options={scaleOptions}
+                  onValueChange={setYScale}
+                  ariaLabel={t.yScaleAria}
+                  testId="collectivex-y-scale-toggle"
+                />
+              </ControlGroup>
+            </div>
+          </Card>
           {phaseSeries.length === 0 && (
             <Card data-testid="collectivex-empty-state" className="py-4">
               <p className="text-sm text-muted-foreground">{t.noSeries}</p>
@@ -1097,6 +1131,22 @@ export default function CollectiveXDisplay() {
             )}
           </Card>
         </TabsContent>
+        <TabsContent value="inventory">
+          <CollectiveXInventory
+            dataset={dataset}
+            selectedCaseId={selectedCase?.case_id ?? ''}
+            onInspectCase={handleInspectCase}
+          />
+        </TabsContent>
+        <TabsContent value="case">
+          {selectedCase ? (
+            <CollectiveXCaseDetail dataset={dataset} item={selectedCase} />
+          ) : (
+            <Card data-testid="collectivex-case-empty" className="py-4">
+              <p className="text-sm text-muted-foreground">{t.noCases}</p>
+            </Card>
+          )}
+        </TabsContent>
         <TabsContent value="evidence" className="space-y-4">
           <CollectiveXCoverageTable coverage={dataset.coverage} />
           <CollectiveXAttemptTable attempts={dataset.attempts} coverage={dataset.coverage} />
diff --git a/packages/app/src/components/collectivex/CollectiveXInventory.tsx b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
index 6aa6a08cf..ddc60c958 100644
--- a/packages/app/src/components/collectivex/CollectiveXInventory.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
@@ -1,6 +1,6 @@
 'use client';
 
-import { useEffect, useMemo, useState } from 'react';
+import { useMemo, useState } from 'react';
 import { ChevronRight, RotateCcw } from 'lucide-react';
 
 import { Badge } from '@/components/ui/badge';
@@ -253,7 +253,13 @@ function DetailValue({
   );
 }
 
-function CaseDetail({ dataset, item }: { dataset: CollectiveXDataset; item: CollectiveXCoverage }) {
+export function CollectiveXCaseDetail({
+  dataset,
+  item,
+}: {
+  dataset: CollectiveXDataset;
+  item: CollectiveXCoverage;
+}) {
   const seriesById = useMemo(
     () => new Map(dataset.series.map((series) => [series.series_id, series])),
     [dataset.series],
@@ -396,9 +402,16 @@ function CaseDetail({ dataset, item }: { dataset: CollectiveXDataset; item: Coll
   );
 }
 
-export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset }) {
+export function CollectiveXInventory({
+  dataset,
+  selectedCaseId,
+  onInspectCase,
+}: {
+  dataset: CollectiveXDataset;
+  selectedCaseId: string;
+  onInspectCase: (caseId: string) => void;
+}) {
   const [filters, setFilters] = useState<Filters>(EMPTY_FILTERS);
-  const [selectedCaseId, setSelectedCaseId] = useState(dataset.coverage[0]?.case_id ?? '');
   const setFilter = (key: FilterKey, value: string) =>
     setFilters((previous) => ({ ...previous, [key]: value }));
   const options = useMemo(
@@ -456,12 +469,6 @@ export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset
       ),
     [dataset.coverage, filters],
   );
-  useEffect(() => {
-    if (!filtered.some((item) => item.case_id === selectedCaseId)) {
-      setSelectedCaseId(filtered[0]?.case_id ?? '');
-    }
-  }, [filtered, selectedCaseId]);
-  const selected = filtered.find((item) => item.case_id === selectedCaseId) ?? null;
   const columns = useMemo<DataTableColumn<CollectiveXCoverage>[]>(
     () => [
       {
@@ -469,8 +476,9 @@ export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset
         cell: (row) => (
           <button
             type="button"
-            onClick={() => setSelectedCaseId(row.case_id)}
-            className="flex min-w-56 items-center gap-2 text-left font-medium hover:underline"
+            onClick={() => onInspectCase(row.case_id)}
+            aria-current={row.case_id === selectedCaseId ? 'true' : undefined}
+            className={`flex min-w-56 items-center gap-2 text-left font-medium hover:underline ${row.case_id === selectedCaseId ? 'text-primary' : ''}`}
             aria-label={`Inspect ${row.label}`}
           >
             <ChevronRight className="size-4 shrink-0" />
@@ -539,119 +547,112 @@ export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset
         className: 'min-w-44',
       },
     ],
-    [],
+    [onInspectCase, selectedCaseId],
   );
   const pointCounts = dataset.coverage.flatMap((item) => item.points);
 
   return (
-    <>
-      <Card
-        data-testid="collectivex-inventory"
-        className="min-w-0 w-full max-w-full overflow-hidden"
-      >
-        <div className="flex flex-wrap items-start justify-between gap-3">
-          <div>
-            <h2 className="text-lg font-semibold">Matrix case inventory</h2>
-            <p className="mt-1 text-sm text-muted-foreground">
-              {filtered.length} of {dataset.coverage.length} cases · {dataset.run.measured_cases}{' '}
-              measured cases · {dataset.run.unsupported_cases} unsupported cases ·{' '}
-              {dataset.run.terminal_points}/{dataset.run.requested_points} terminal points ·{' '}
-              {pointCounts.filter((point) => point.terminal_status === 'measured').length} measured
-              points ·{' '}
-              {pointCounts.filter((point) => point.terminal_status === 'unsupported').length}{' '}
-              unsupported points
-            </p>
-          </div>
-          <Button
-            variant="outline"
-            size="sm"
-            onClick={() => setFilters(EMPTY_FILTERS)}
-            disabled={Object.values(filters).every((value) => value === 'all')}
-          >
-            <RotateCcw className="size-4" />
-            Reset filters
-          </Button>
-        </div>
-        <div className="mt-4 grid gap-3 sm:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6">
-          <FilterSelect
-            label="SKU"
-            testId="collectivex-inventory-sku"
-            value={filters.sku}
-            options={options.sku}
-            onChange={(value) => setFilter('sku', value)}
-          />
-          <FilterSelect
-            label="Backend / generation"
-            testId="collectivex-inventory-backend"
-            value={filters.backend}
-            options={options.backend}
-            onChange={(value) => setFilter('backend', value)}
-          />
-          <FilterSelect
-            label="EP"
-            testId="collectivex-inventory-ep"
-            value={filters.ep}
-            options={options.ep}
-            onChange={(value) => setFilter('ep', value)}
-          />
-          <FilterSelect
-            label="Mode"
-            testId="collectivex-inventory-mode"
-            value={filters.mode}
-            options={options.mode}
-            onChange={(value) => setFilter('mode', value)}
-          />
-          <FilterSelect
-            label="Phase"
-            testId="collectivex-inventory-phase"
-            value={filters.phase}
-            options={options.phase}
-            onChange={(value) => setFilter('phase', value)}
-          />
-          <FilterSelect
-            label="Routing / EPLB"
-            testId="collectivex-inventory-routing"
-            value={filters.routing}
-            options={options.routing}
-            onChange={(value) => setFilter('routing', value)}
-          />
-          <FilterSelect
-            label="Topology"
-            testId="collectivex-inventory-topology"
-            value={filters.topology}
-            options={options.topology}
-            onChange={(value) => setFilter('topology', value)}
-          />
-          <FilterSelect
-            label="Dispatch precision"
-            testId="collectivex-inventory-dispatch-precision"
-            value={filters.dispatchPrecision}
-            options={options.dispatchPrecision}
-            onChange={(value) => setFilter('dispatchPrecision', value)}
-          />
-          <FilterSelect
-            label="Combine precision"
-            testId="collectivex-inventory-combine-precision"
-            value={filters.combinePrecision}
-            options={options.combinePrecision}
-            onChange={(value) => setFilter('combinePrecision', value)}
-          />
-          <FilterSelect
-            label="Terminal disposition"
-            testId="collectivex-inventory-terminal"
-            value={filters.terminal}
-            options={options.terminal}
-            onChange={(value) => setFilter('terminal', value)}
-          />
+    <Card data-testid="collectivex-inventory" className="min-w-0 w-full max-w-full overflow-hidden">
+      <div className="flex flex-wrap items-start justify-between gap-3">
+        <div>
+          <h2 className="text-lg font-semibold">Matrix case inventory</h2>
+          <p className="mt-1 text-sm text-muted-foreground">
+            {filtered.length} of {dataset.coverage.length} cases · {dataset.run.measured_cases}{' '}
+            measured cases · {dataset.run.unsupported_cases} unsupported cases ·{' '}
+            {dataset.run.terminal_points}/{dataset.run.requested_points} terminal points ·{' '}
+            {pointCounts.filter((point) => point.terminal_status === 'measured').length} measured
+            points · {pointCounts.filter((point) => point.terminal_status === 'unsupported').length}{' '}
+            unsupported points
+          </p>
         </div>
-        <DataTable
-          data={filtered}
-          columns={columns}
-          testId="collectivex-inventory-table"
-          analyticsPrefix="collectivex_inventory"
+        <Button
+          variant="outline"
+          size="sm"
+          onClick={() => setFilters(EMPTY_FILTERS)}
+          disabled={Object.values(filters).every((value) => value === 'all')}
+        >
+          <RotateCcw className="size-4" />
+          Reset filters
+        </Button>
+      </div>
+      <div className="mt-4 grid gap-3 sm:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6">
+        <FilterSelect
+          label="SKU"
+          testId="collectivex-inventory-sku"
+          value={filters.sku}
+          options={options.sku}
+          onChange={(value) => setFilter('sku', value)}
+        />
+        <FilterSelect
+          label="Backend / generation"
+          testId="collectivex-inventory-backend"
+          value={filters.backend}
+          options={options.backend}
+          onChange={(value) => setFilter('backend', value)}
+        />
+        <FilterSelect
+          label="EP"
+          testId="collectivex-inventory-ep"
+          value={filters.ep}
+          options={options.ep}
+          onChange={(value) => setFilter('ep', value)}
         />
-      </Card>
-      {selected && <CaseDetail dataset={dataset} item={selected} />}
-    </>
+        <FilterSelect
+          label="Mode"
+          testId="collectivex-inventory-mode"
+          value={filters.mode}
+          options={options.mode}
+          onChange={(value) => setFilter('mode', value)}
+        />
+        <FilterSelect
+          label="Phase"
+          testId="collectivex-inventory-phase"
+          value={filters.phase}
+          options={options.phase}
+          onChange={(value) => setFilter('phase', value)}
+        />
+        <FilterSelect
+          label="Routing / EPLB"
+          testId="collectivex-inventory-routing"
+          value={filters.routing}
+          options={options.routing}
+          onChange={(value) => setFilter('routing', value)}
+        />
+        <FilterSelect
+          label="Topology"
+          testId="collectivex-inventory-topology"
+          value={filters.topology}
+          options={options.topology}
+          onChange={(value) => setFilter('topology', value)}
+        />
+        <FilterSelect
+          label="Dispatch precision"
+          testId="collectivex-inventory-dispatch-precision"
+          value={filters.dispatchPrecision}
+          options={options.dispatchPrecision}
+          onChange={(value) => setFilter('dispatchPrecision', value)}
+        />
+        <FilterSelect
+          label="Combine precision"
+          testId="collectivex-inventory-combine-precision"
+          value={filters.combinePrecision}
+          options={options.combinePrecision}
+          onChange={(value) => setFilter('combinePrecision', value)}
+        />
+        <FilterSelect
+          label="Terminal disposition"
+          testId="collectivex-inventory-terminal"
+          value={filters.terminal}
+          options={options.terminal}
+          onChange={(value) => setFilter('terminal', value)}
+        />
+      </div>
+      <DataTable
+        data={filtered}
+        columns={columns}
+        testId="collectivex-inventory-table"
+        analyticsPrefix="collectivex_inventory"
+      />
+    </Card>
   );
 }
diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
index b838d8736..0e0d89706 100644
--- a/packages/app/src/components/collectivex/data.test.ts
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -60,6 +60,14 @@ describe('collectiveXColorKey', () => {
     const b = makeCollectiveXSeries({ ep: 16 });
     expect(collectiveXColorKey(a)).not.toBe(collectiveXColorKey(b));
   });
+
+  it('leads with the system vendor so getVendor places series in vendor hue zones', () => {
+    // The chart color system reads the first "_"-separated token to classify the
+    // vendor (NVIDIA greens, AMD reds), matching the InferenceX charts.
+    expect(collectiveXColorKey(scaleUp).split('_')[0]).toBe('nvidia');
+    const amd = makeCollectiveXSeries({ sku: 'mi355x-oam', vendor: 'amd' });
+    expect(collectiveXColorKey(amd).split('_')[0]).toBe('amd');
+  });
 });
 
 describe('seriesMatchesSelection', () => {
diff --git a/packages/app/src/components/collectivex/data.ts b/packages/app/src/components/collectivex/data.ts
index 95bac48af..65b498f0d 100644
--- a/packages/app/src/components/collectivex/data.ts
+++ b/packages/app/src/components/collectivex/data.ts
@@ -52,7 +52,11 @@ export function collectiveXColorKey(series: CollectiveXSeries): string {
     ? `${series.eplb.planner ?? 'enabled'}-${series.eplb.mapping_sha256 ?? 'unmapped'}-${series.eplb.physical_experts ?? 'auto'}`
     : 'eplb-off';
   const units = `${series.resource.comm_units_kind ?? 'units'}-${series.resource.configured_units ?? 'default'}`;
+  // The vendor leads the key so the chart color system (getVendor splits on "_"
+  // and reads the first token) can place each series in its vendor hue zone —
+  // NVIDIA greens, AMD reds — matching the InferenceX charts.
   return [
+    series.system.vendor,
     series.system.sku,
     series.mode,
     `ep${series.system.ep_size}`,
diff --git a/packages/app/src/lib/dynamic-colors.test.ts b/packages/app/src/lib/dynamic-colors.test.ts
new file mode 100644
index 000000000..52550a094
--- /dev/null
+++ b/packages/app/src/lib/dynamic-colors.test.ts
@@ -0,0 +1,48 @@
+import { describe, expect, it } from 'vitest';
+
+import { VENDOR_OKLCH_ZONES } from '@semianalysisai/inferencex-constants';
+
+import { generateVendorColors, getVendor } from './dynamic-colors';
+
+function hueOf(color: string): number {
+  const match = /^oklch\([\d.]+ [\d.]+ (?<hue>[\d.]+)\)$/.exec(color);
+  expect(match, `expected oklch color, got ${color}`).not.toBeNull();
+  return Number(match!.groups!.hue);
+}
+
+describe('getVendor', () => {
+  it('classifies registered GPU base keys through GPU_VENDORS', () => {
+    expect(getVendor('h100_vllm')).toBe('nvidia');
+    expect(getVendor('mi300x_sglang')).toBe('amd');
+  });
+
+  it('classifies keys that lead with a literal vendor token', () => {
+    // CollectiveX series keys carry the dataset's explicit vendor rather than a
+    // registered GPU key (their SKUs, e.g. "h200-dgxc", are not registry keys).
+    expect(getVendor('nvidia_h200-dgxc_normal_ep8')).toBe('nvidia');
+    expect(getVendor('amd_mi355x-oam_normal_ep8')).toBe('amd');
+  });
+
+  it('falls back to unknown for unclassifiable keys', () => {
+    expect(getVendor('h200-dgxc_normal_ep8')).toBe('unknown');
+  });
+});
+
+describe('generateVendorColors', () => {
+  it('places vendor-prefixed keys in their vendor hue zones', () => {
+    const colors = generateVendorColors(['nvidia_series-a', 'amd_series-b'], 'light');
+    const nvidia = VENDOR_OKLCH_ZONES.nvidia;
+    const amd = VENDOR_OKLCH_ZONES.amd;
+    expect(hueOf(colors['nvidia_series-a'])).toBeGreaterThanOrEqual(nvidia.start);
+    expect(hueOf(colors['nvidia_series-a'])).toBeLessThanOrEqual(nvidia.end);
+    expect(hueOf(colors['amd_series-b'])).toBeGreaterThanOrEqual(amd.start);
+    expect(hueOf(colors['amd_series-b'])).toBeLessThanOrEqual(amd.end);
+  });
+
+  it('keeps unclassifiable keys in the unknown zone', () => {
+    const colors = generateVendorColors(['mystery_series'], 'dark');
+    const unknown = VENDOR_OKLCH_ZONES.unknown;
+    expect(hueOf(colors['mystery_series'])).toBeGreaterThanOrEqual(unknown.start);
+    expect(hueOf(colors['mystery_series'])).toBeLessThanOrEqual(unknown.end);
+  });
+});
diff --git a/packages/app/src/lib/dynamic-colors.ts b/packages/app/src/lib/dynamic-colors.ts
index 38b9e10eb..d788c8fd6 100644
--- a/packages/app/src/lib/dynamic-colors.ts
+++ b/packages/app/src/lib/dynamic-colors.ts
@@ -20,6 +20,9 @@ export type Vendor = 'nvidia' | 'amd' | 'unknown';
 export function getVendor(hwKey: string): Vendor {
   // hwKey may have a framework suffix (e.g. "h100_vllm") — strip it to get the GPU base key
   const base = hwKey.split('_')[0];
+  // Keys whose dataset carries an explicit vendor (e.g. CollectiveX series) lead
+  // with the vendor name itself rather than a registered GPU key.
+  if (base === 'nvidia' || base === 'amd') return base;
   const vendor = GPU_VENDORS[base];
   if (vendor === 'NVIDIA') return 'nvidia';
   if (vendor === 'AMD') return 'amd';

From af87bede6f4226e0370ec365f368885277d267dc Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Thu, 9 Jul 2026 00:18:42 +0800
Subject: [PATCH 12/37] reorder graphs

---
 packages/app/cypress/e2e/collectivex.cy.ts    |  25 +-
 .../collectivex/CollectiveXDisplay.tsx        | 666 +++++++++---------
 2 files changed, 339 insertions(+), 352 deletions(-)

diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index 84c7c8e54..cdef8dc7b 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -114,32 +114,29 @@ describe('CollectiveX neutral run view', () => {
     cy.get('[data-testid="collectivex-run-conclusion"]').should('contain.text', `#${runId}`);
   });
 
-  it('presents the full matrix inventory in its own tab', () => {
-    cy.contains('[role="tab"]', 'Matrix case inventory').click();
-    cy.location('hash').should('eq', '#tab-inventory');
+  it('keeps the chart on top and presents the matrix inventory in the default tab', () => {
+    // The chart is not inside a tab: it stays visible alongside every tab.
+    cy.get('[data-testid="collectivex-main-chart"]').should('be.visible');
     cy.get('[data-testid="collectivex-inventory"]')
       .should('contain.text', 'Matrix case inventory')
       .and('contain.text', `${dataset.coverage.length} of ${dataset.coverage.length} cases`);
     cy.get('[data-testid="collectivex-inventory-table"]')
       .should('contain.text', 'H200-DGXC')
       .and('contain.text', 'B300-SXM');
-    // The graph tab is the default, so the inventory is hidden until requested.
-    cy.contains('[role="tab"]', 'EP results').click();
+    cy.contains('[role="tab"]', 'Selected matrix case').click();
     cy.get('[data-testid="collectivex-inventory"]').should('not.exist');
+    cy.get('[data-testid="collectivex-main-chart"]').should('be.visible');
   });
 
   it('jumps to the selected matrix case tab when a case is inspected', () => {
-    cy.contains('[role="tab"]', 'Selected matrix case').click();
-    cy.get('[data-testid="collectivex-case-detail"]').should(
-      'contain.text',
-      'Selected matrix case',
-    );
-    cy.contains('[role="tab"]', 'Matrix case inventory').click();
     cy.get('[data-testid="collectivex-inventory-table"] button[aria-label^="Inspect"]')
       .last()
       .click();
     cy.location('hash').should('eq', '#tab-case');
-    cy.get('[data-testid="collectivex-case-detail"]').should('be.visible');
+    cy.get('[data-testid="collectivex-case-detail"]').should(
+      'contain.text',
+      'Selected matrix case',
+    );
   });
 
   it('exposes terminal coverage, retained attempts, and run provenance in Evidence', () => {
@@ -157,8 +154,8 @@ describe('CollectiveX neutral run view', () => {
   it('restores the active tab with browser history', () => {
     cy.contains('[role="tab"]', 'Evidence').click();
     cy.location('hash').should('eq', '#tab-evidence');
-    cy.contains('[role="tab"]', 'EP results').click();
-    cy.location('hash').should('eq', '#tab-results');
+    cy.contains('[role="tab"]', 'Matrix case inventory').click();
+    cy.location('hash').should('eq', '#tab-inventory');
     cy.go('back');
     cy.location('hash').should('eq', '#tab-evidence');
     cy.get('[data-testid="collectivex-provenance"]').should('be.visible');
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index c6d7589c4..58effd380 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -48,7 +48,7 @@ import {
   type CollectiveXYAxis,
 } from './types';
 
-type CollectiveXTab = 'results' | 'inventory' | 'case' | 'evidence';
+type CollectiveXTab = 'inventory' | 'case' | 'evidence';
 interface SelectOption<T extends string | number> {
   value: T;
   label: string;
@@ -60,7 +60,7 @@ const PERCENTILE_OPTIONS: SegmentedToggleOption<CollectiveXPercentile>[] = [
   { value: 'p95', label: 'p95' },
   { value: 'p99', label: 'p99' },
 ];
-const TAB_VALUES: CollectiveXTab[] = ['results', 'inventory', 'case', 'evidence'];
+const TAB_VALUES: CollectiveXTab[] = ['inventory', 'case', 'evidence'];
 // Neutral MVP: no promotion/cohort/eligibility layer. The view is the measured
 // series set for one run, filtered by the identity axes the neutral shard carries.
 // Strings that describe that retired decision layer are gone; the remaining zh
@@ -101,7 +101,6 @@ const STRINGS = {
       'gate-weighted': 'Gate-weighted combine',
     },
     tabs: {
-      results: 'EP results',
       inventory: 'Matrix case inventory',
       case: 'Selected matrix case',
       evidence: 'Evidence',
@@ -229,7 +228,6 @@ const STRINGS = {
     // English-only per the repository's temporary language override (no new
     // Chinese text); keys added for the neutral view mirror the en values.
     tabs: {
-      results: 'EP results',
       inventory: 'Matrix case inventory',
       case: 'Selected matrix case',
       evidence: '证据',
@@ -380,7 +378,7 @@ export default function CollectiveXDisplay() {
   // { dataset, run_id, run_attempt } shape the rest of the view consumes.
   const activeQuery = selectedRunId === null ? latestQuery : runQuery;
   const { data, error, isLoading, isFetching } = activeQuery;
-  const [tab, setTab] = useState<CollectiveXTab>('results');
+  const [tab, setTab] = useState<CollectiveXTab>('inventory');
   const [mode, setMode] = useState<CollectiveXMode>('normal');
   const [epSize, setEpSize] = useState(8);
   const [fabricScope, setFabricScope] = useState<CollectiveXFabricScope>('all');
@@ -457,7 +455,6 @@ export default function CollectiveXDisplay() {
     }
   }, [runsQuery.data, selectedRunId]);
   const tabOptions: { value: CollectiveXTab; label: string }[] = [
-    { value: 'results', label: t.tabs.results },
     { value: 'inventory', label: t.tabs.inventory },
     { value: 'case', label: t.tabs.case },
     { value: 'evidence', label: t.tabs.evidence },
@@ -791,6 +788,331 @@ export default function CollectiveXDisplay() {
         </div>
       </Card>
 
+      {phaseSeries.length === 0 && (
+        <Card data-testid="collectivex-empty-state" className="py-4">
+          <p className="text-sm text-muted-foreground">{t.noSeries}</p>
+        </Card>
+      )}
+      <Card data-testid="collectivex-main-chart" className="relative">
+        <CollectiveXChart
+          chartId="collectivex-explorer"
+          testId="collectivex-explorer-chart"
+          series={activeSeries}
+          colors={colors}
+          operation={operation}
+          percentile={percentile}
+          xAxis={xAxis}
+          yAxis={yAxis}
+          xScaleType={xScale}
+          yScaleType={yScale}
+          caption={
+            <>
+              <h2 className="text-lg font-semibold">
+                {operation === 'stage' ? 'Stage' : t.operationHeading[operation]} ·{' '}
+                {t.phaseValue[phase]} ·{' '}
+                {yAxis === 'latency'
+                  ? percentile
+                  : locale === 'zh'
+                    ? `${percentile} 延迟分位点`
+                    : `at ${percentile} latency`}
+              </h2>
+              <p className="text-sm text-muted-foreground">
+                {yAxis === 'activation-rate'
+                  ? 'Activation-data rate at selected latency percentile'
+                  : yAxis === 'total-logical-rate'
+                    ? 'Total logical data rate at selected latency percentile'
+                    : t.yAxis[yAxis]}
+              </p>
+              {chartSemantics && (
+                <p
+                  data-testid="collectivex-chart-semantics"
+                  className="mb-2 text-xs font-medium text-muted-foreground"
+                >
+                  {chartSemantics}
+                </p>
+              )}
+            </>
+          }
+          legendElement={
+            <ChartLegend
+              variant="sidebar"
+              legendItems={legendItems}
+              disableActiveSort
+              onItemRemove={(id) =>
+                setActiveSeriesIds(
+                  (previous) => new Set([...previous].filter((item) => item !== id)),
+                )
+              }
+              isLegendExpanded={legendExpanded}
+              onExpandedChange={setLegendExpanded}
+              switches={[
+                {
+                  id: 'collectivex-high-contrast',
+                  label: t.highContrast,
+                  checked: highContrast,
+                  onCheckedChange: setHighContrast,
+                },
+              ]}
+              actions={
+                activeSeries.length < phaseSeries.length
+                  ? [
+                      {
+                        id: 'collectivex-reset-filter',
+                        label: t.resetFilter,
+                        onClick: () =>
+                          setActiveSeriesIds(new Set(phaseSeries.map((item) => item.series_id))),
+                      },
+                    ]
+                  : []
+              }
+            />
+          }
+        />
+        {warnings.length > 0 && (
+          <p
+            data-testid="collectivex-comparison-warning"
+            className="mt-2 text-xs text-muted-foreground"
+          >
+            {t.selectedFactorsDiffer}:{' '}
+            {warnings
+              .map(
+                (warning) =>
+                  t.differenceLabels[warning as keyof typeof t.differenceLabels] ?? warning,
+              )
+              .join(', ')}
+            .
+          </p>
+        )}
+        {missingComponents && (
+          <p className="mt-2 text-xs text-muted-foreground">{t.missingComponents}</p>
+        )}
+        {operation === 'isolated-sum' && (
+          <p className="mt-2 text-xs text-muted-foreground">{t.isolatedNote}</p>
+        )}
+        {(yAxis === 'activation-rate' || yAxis === 'total-logical-rate') && (
+          <p className="mt-2 text-xs text-muted-foreground">{t.payloadNote}</p>
+        )}
+      </Card>
+      <Card className="py-4 md:py-5">
+        <div className="grid gap-x-5 gap-y-3 sm:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6">
+          <SelectControl
+            label={t.version}
+            testId="collectivex-version-select"
+            value={version}
+            options={versionOptions}
+            onChange={(value) => {
+              setVersion(value);
+              track('collectivex_version_changed', { version: value });
+            }}
+          />
+          <ControlGroup label={t.runControl}>
+            {runsRequested ? (
+              runsQuery.isLoading ? (
+                <Button
+                  variant="outline"
+                  className="w-full justify-center"
+                  disabled
+                  data-testid="collectivex-runs-loading"
+                >
+                  <Loader2 className="size-4 animate-spin" />
+                  {t.loadingRuns}
+                </Button>
+              ) : runsQuery.error || !runsQuery.data ? (
+                <Button
+                  variant="outline"
+                  className="w-full justify-center"
+                  data-testid="collectivex-runs-retry"
+                  onClick={() => void runsQuery.refetch()}
+                >
+                  <RefreshCw className="size-4" />
+                  {t.retry}
+                </Button>
+              ) : (
+                <Select
+                  value={selectedRunId ?? 'latest'}
+                  onValueChange={(next) => {
+                    setSelectedRunId(next === 'latest' ? null : next);
+                    track('collectivex_run_selected', { version, run: next });
+                  }}
+                >
+                  <SelectTrigger data-testid="collectivex-run-select" className="min-w-0 w-full">
+                    <SelectValue />
+                  </SelectTrigger>
+                  <SelectContent>
+                    {runOptions.map((item) => (
+                      <SelectItem key={item.value} value={item.value}>
+                        {item.label}
+                      </SelectItem>
+                    ))}
+                  </SelectContent>
+                </Select>
+              )
+            ) : (
+              <Button
+                variant="outline"
+                className="w-full justify-center"
+                data-testid="collectivex-load-runs"
+                onClick={() => {
+                  setRunsRequested(true);
+                  track('collectivex_runs_requested', { version });
+                }}
+              >
+                {t.loadRuns}
+              </Button>
+            )}
+          </ControlGroup>
+          <ControlGroup label={t.modeControl}>
+            <SegmentedToggle
+              value={mode}
+              options={availableModes.map((value) => ({ value, label: t.mode[value] }))}
+              onValueChange={(value) => {
+                setMode(value);
+                if (value === 'low-latency') setPhase('decode');
+                track('collectivex_mode_changed', { mode: value });
+              }}
+              ariaLabel={t.modeAria}
+              testId="collectivex-mode-select"
+              className="flex w-full overflow-hidden"
+              buttonClassName="min-w-0 flex-1 justify-center px-1.5 whitespace-nowrap"
+            />
+          </ControlGroup>
+          <SelectControl
+            label={t.epControl}
+            testId="collectivex-ep-select"
+            value={String(epSize)}
+            options={availableEpSizes.map((value) => ({
+              value: String(value),
+              label: `EP${value}`,
+            }))}
+            onChange={(value) => {
+              setEpSize(Number(value));
+              track('collectivex_ep_changed', { ep: Number(value) });
+            }}
+          />
+          <ControlGroup label={t.fabricScopeControl}>
+            <SegmentedToggle
+              value={fabricScope}
+              options={fabricScopeOptions}
+              onValueChange={(value) => {
+                setFabricScope(value);
+                track('collectivex_fabric_scope_changed', { fabric_scope: value });
+              }}
+              ariaLabel={t.fabricScopeAria}
+              testId="collectivex-fabric-scope-toggle"
+              className="flex w-full overflow-hidden"
+              buttonClassName="min-w-0 flex-1 justify-center px-1.5 whitespace-nowrap"
+            />
+          </ControlGroup>
+          <SelectControl
+            label={t.operationControl}
+            testId="collectivex-operation-select"
+            value={operation}
+            options={operationOptions}
+            onChange={(next) => {
+              setOperation(next);
+              if (next !== 'roundtrip' && yAxis === 'tokens-per-second') setYAxis('latency');
+              if (
+                next === 'isolated-sum' &&
+                (yAxis === 'activation-rate' || yAxis === 'total-logical-rate')
+              )
+                setYAxis('latency');
+            }}
+          />
+          <ControlGroup label={t.phaseControl}>
+            <SegmentedToggle
+              value={phase}
+              options={phaseOptions}
+              onValueChange={setPhase}
+              ariaLabel={t.phaseAria}
+              testId="collectivex-phase-toggle"
+            />
+          </ControlGroup>
+          <ControlGroup label={t.latencyPercentile}>
+            <SegmentedToggle
+              value={percentile}
+              options={PERCENTILE_OPTIONS}
+              onValueChange={setPercentile}
+              ariaLabel={t.percentileAria}
+              testId="collectivex-percentile-toggle"
+            />
+          </ControlGroup>
+          <SelectControl
+            label={t.sku}
+            testId="collectivex-sku-select"
+            value={sku}
+            options={selectOptions(skuOptions, t.all, true)}
+            onChange={setSku}
+          />
+          <SelectControl
+            label={t.backend}
+            testId="collectivex-backend-select"
+            value={backend}
+            options={selectOptions(backendOptions, t.all)}
+            onChange={setBackend}
+          />
+          <SelectControl
+            label={t.routing}
+            testId="collectivex-routing-select"
+            value={routing}
+            options={selectOptions(routingOptions, t.all)}
+            onChange={setRouting}
+          />
+          <SelectControl
+            label={t.xAxisControl}
+            testId="collectivex-x-axis-select"
+            value={xAxis}
+            options={xAxisOptions}
+            onChange={setXAxis}
+          />
+          <ControlGroup label={t.xScale}>
+            <SegmentedToggle
+              value={xScale}
+              options={scaleOptions}
+              onValueChange={setXScale}
+              ariaLabel={t.xScaleAria}
+              testId="collectivex-x-scale-toggle"
+            />
+          </ControlGroup>
+          <SelectControl
+            label={t.yAxisControl}
+            testId="collectivex-y-axis-select"
+            value={yAxis}
+            onChange={setYAxis}
+            options={[
+              { value: 'latency', label: t.yAxis.latency },
+              ...(operation === 'roundtrip'
+                ? ([
+                    {
+                      value: 'tokens-per-second',
+                      label: t.tokenRateOption,
+                    },
+                  ] as const)
+                : []),
+              ...(operation === 'isolated-sum'
+                ? []
+                : ([
+                    {
+                      value: 'activation-rate',
+                      label: 'Activation-data rate at latency percentile',
+                    },
+                    {
+                      value: 'total-logical-rate',
+                      label: 'Total logical data rate at latency percentile',
+                    },
+                  ] as const)),
+            ]}
+          />
+          <ControlGroup label={t.yScale}>
+            <SegmentedToggle
+              value={yScale}
+              options={scaleOptions}
+              onValueChange={setYScale}
+              ariaLabel={t.yScaleAria}
+              testId="collectivex-y-scale-toggle"
+            />
+          </ControlGroup>
+        </div>
+      </Card>
       <Tabs value={tab} onValueChange={handleTab} className="gap-4">
         <TabsList data-testid="collectivex-tabs" className="overflow-x-auto">
           {tabOptions.map((item) => (
@@ -799,338 +1121,6 @@ export default function CollectiveXDisplay() {
             </TabsTrigger>
           ))}
         </TabsList>
-        <TabsContent value="results" className="space-y-4">
-          <Card className="py-4 md:py-5">
-            <div className="grid gap-x-5 gap-y-3 sm:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6">
-              <SelectControl
-                label={t.version}
-                testId="collectivex-version-select"
-                value={version}
-                options={versionOptions}
-                onChange={(value) => {
-                  setVersion(value);
-                  track('collectivex_version_changed', { version: value });
-                }}
-              />
-              <ControlGroup label={t.runControl}>
-                {runsRequested ? (
-                  runsQuery.isLoading ? (
-                    <Button
-                      variant="outline"
-                      className="w-full justify-center"
-                      disabled
-                      data-testid="collectivex-runs-loading"
-                    >
-                      <Loader2 className="size-4 animate-spin" />
-                      {t.loadingRuns}
-                    </Button>
-                  ) : runsQuery.error || !runsQuery.data ? (
-                    <Button
-                      variant="outline"
-                      className="w-full justify-center"
-                      data-testid="collectivex-runs-retry"
-                      onClick={() => void runsQuery.refetch()}
-                    >
-                      <RefreshCw className="size-4" />
-                      {t.retry}
-                    </Button>
-                  ) : (
-                    <Select
-                      value={selectedRunId ?? 'latest'}
-                      onValueChange={(next) => {
-                        setSelectedRunId(next === 'latest' ? null : next);
-                        track('collectivex_run_selected', { version, run: next });
-                      }}
-                    >
-                      <SelectTrigger
-                        data-testid="collectivex-run-select"
-                        className="min-w-0 w-full"
-                      >
-                        <SelectValue />
-                      </SelectTrigger>
-                      <SelectContent>
-                        {runOptions.map((item) => (
-                          <SelectItem key={item.value} value={item.value}>
-                            {item.label}
-                          </SelectItem>
-                        ))}
-                      </SelectContent>
-                    </Select>
-                  )
-                ) : (
-                  <Button
-                    variant="outline"
-                    className="w-full justify-center"
-                    data-testid="collectivex-load-runs"
-                    onClick={() => {
-                      setRunsRequested(true);
-                      track('collectivex_runs_requested', { version });
-                    }}
-                  >
-                    {t.loadRuns}
-                  </Button>
-                )}
-              </ControlGroup>
-              <ControlGroup label={t.modeControl}>
-                <SegmentedToggle
-                  value={mode}
-                  options={availableModes.map((value) => ({ value, label: t.mode[value] }))}
-                  onValueChange={(value) => {
-                    setMode(value);
-                    if (value === 'low-latency') setPhase('decode');
-                    track('collectivex_mode_changed', { mode: value });
-                  }}
-                  ariaLabel={t.modeAria}
-                  testId="collectivex-mode-select"
-                  className="flex w-full overflow-hidden"
-                  buttonClassName="min-w-0 flex-1 justify-center px-1.5 whitespace-nowrap"
-                />
-              </ControlGroup>
-              <SelectControl
-                label={t.epControl}
-                testId="collectivex-ep-select"
-                value={String(epSize)}
-                options={availableEpSizes.map((value) => ({
-                  value: String(value),
-                  label: `EP${value}`,
-                }))}
-                onChange={(value) => {
-                  setEpSize(Number(value));
-                  track('collectivex_ep_changed', { ep: Number(value) });
-                }}
-              />
-              <ControlGroup label={t.fabricScopeControl}>
-                <SegmentedToggle
-                  value={fabricScope}
-                  options={fabricScopeOptions}
-                  onValueChange={(value) => {
-                    setFabricScope(value);
-                    track('collectivex_fabric_scope_changed', { fabric_scope: value });
-                  }}
-                  ariaLabel={t.fabricScopeAria}
-                  testId="collectivex-fabric-scope-toggle"
-                  className="flex w-full overflow-hidden"
-                  buttonClassName="min-w-0 flex-1 justify-center px-1.5 whitespace-nowrap"
-                />
-              </ControlGroup>
-              <SelectControl
-                label={t.operationControl}
-                testId="collectivex-operation-select"
-                value={operation}
-                options={operationOptions}
-                onChange={(next) => {
-                  setOperation(next);
-                  if (next !== 'roundtrip' && yAxis === 'tokens-per-second') setYAxis('latency');
-                  if (
-                    next === 'isolated-sum' &&
-                    (yAxis === 'activation-rate' || yAxis === 'total-logical-rate')
-                  )
-                    setYAxis('latency');
-                }}
-              />
-              <ControlGroup label={t.phaseControl}>
-                <SegmentedToggle
-                  value={phase}
-                  options={phaseOptions}
-                  onValueChange={setPhase}
-                  ariaLabel={t.phaseAria}
-                  testId="collectivex-phase-toggle"
-                />
-              </ControlGroup>
-              <ControlGroup label={t.latencyPercentile}>
-                <SegmentedToggle
-                  value={percentile}
-                  options={PERCENTILE_OPTIONS}
-                  onValueChange={setPercentile}
-                  ariaLabel={t.percentileAria}
-                  testId="collectivex-percentile-toggle"
-                />
-              </ControlGroup>
-              <SelectControl
-                label={t.sku}
-                testId="collectivex-sku-select"
-                value={sku}
-                options={selectOptions(skuOptions, t.all, true)}
-                onChange={setSku}
-              />
-              <SelectControl
-                label={t.backend}
-                testId="collectivex-backend-select"
-                value={backend}
-                options={selectOptions(backendOptions, t.all)}
-                onChange={setBackend}
-              />
-              <SelectControl
-                label={t.routing}
-                testId="collectivex-routing-select"
-                value={routing}
-                options={selectOptions(routingOptions, t.all)}
-                onChange={setRouting}
-              />
-              <SelectControl
-                label={t.xAxisControl}
-                testId="collectivex-x-axis-select"
-                value={xAxis}
-                options={xAxisOptions}
-                onChange={setXAxis}
-              />
-              <ControlGroup label={t.xScale}>
-                <SegmentedToggle
-                  value={xScale}
-                  options={scaleOptions}
-                  onValueChange={setXScale}
-                  ariaLabel={t.xScaleAria}
-                  testId="collectivex-x-scale-toggle"
-                />
-              </ControlGroup>
-              <SelectControl
-                label={t.yAxisControl}
-                testId="collectivex-y-axis-select"
-                value={yAxis}
-                onChange={setYAxis}
-                options={[
-                  { value: 'latency', label: t.yAxis.latency },
-                  ...(operation === 'roundtrip'
-                    ? ([
-                        {
-                          value: 'tokens-per-second',
-                          label: t.tokenRateOption,
-                        },
-                      ] as const)
-                    : []),
-                  ...(operation === 'isolated-sum'
-                    ? []
-                    : ([
-                        {
-                          value: 'activation-rate',
-                          label: 'Activation-data rate at latency percentile',
-                        },
-                        {
-                          value: 'total-logical-rate',
-                          label: 'Total logical data rate at latency percentile',
-                        },
-                      ] as const)),
-                ]}
-              />
-              <ControlGroup label={t.yScale}>
-                <SegmentedToggle
-                  value={yScale}
-                  options={scaleOptions}
-                  onValueChange={setYScale}
-                  ariaLabel={t.yScaleAria}
-                  testId="collectivex-y-scale-toggle"
-                />
-              </ControlGroup>
-            </div>
-          </Card>
-          {phaseSeries.length === 0 && (
-            <Card data-testid="collectivex-empty-state" className="py-4">
-              <p className="text-sm text-muted-foreground">{t.noSeries}</p>
-            </Card>
-          )}
-          <Card data-testid="collectivex-main-chart" className="relative">
-            <CollectiveXChart
-              chartId="collectivex-explorer"
-              testId="collectivex-explorer-chart"
-              series={activeSeries}
-              colors={colors}
-              operation={operation}
-              percentile={percentile}
-              xAxis={xAxis}
-              yAxis={yAxis}
-              xScaleType={xScale}
-              yScaleType={yScale}
-              caption={
-                <>
-                  <h2 className="text-lg font-semibold">
-                    {operation === 'stage' ? 'Stage' : t.operationHeading[operation]} ·{' '}
-                    {t.phaseValue[phase]} ·{' '}
-                    {yAxis === 'latency'
-                      ? percentile
-                      : locale === 'zh'
-                        ? `${percentile} 延迟分位点`
-                        : `at ${percentile} latency`}
-                  </h2>
-                  <p className="text-sm text-muted-foreground">
-                    {yAxis === 'activation-rate'
-                      ? 'Activation-data rate at selected latency percentile'
-                      : yAxis === 'total-logical-rate'
-                        ? 'Total logical data rate at selected latency percentile'
-                        : t.yAxis[yAxis]}
-                  </p>
-                  {chartSemantics && (
-                    <p
-                      data-testid="collectivex-chart-semantics"
-                      className="mb-2 text-xs font-medium text-muted-foreground"
-                    >
-                      {chartSemantics}
-                    </p>
-                  )}
-                </>
-              }
-              legendElement={
-                <ChartLegend
-                  variant="sidebar"
-                  legendItems={legendItems}
-                  disableActiveSort
-                  onItemRemove={(id) =>
-                    setActiveSeriesIds(
-                      (previous) => new Set([...previous].filter((item) => item !== id)),
-                    )
-                  }
-                  isLegendExpanded={legendExpanded}
-                  onExpandedChange={setLegendExpanded}
-                  switches={[
-                    {
-                      id: 'collectivex-high-contrast',
-                      label: t.highContrast,
-                      checked: highContrast,
-                      onCheckedChange: setHighContrast,
-                    },
-                  ]}
-                  actions={
-                    activeSeries.length < phaseSeries.length
-                      ? [
-                          {
-                            id: 'collectivex-reset-filter',
-                            label: t.resetFilter,
-                            onClick: () =>
-                              setActiveSeriesIds(
-                                new Set(phaseSeries.map((item) => item.series_id)),
-                              ),
-                          },
-                        ]
-                      : []
-                  }
-                />
-              }
-            />
-            {warnings.length > 0 && (
-              <p
-                data-testid="collectivex-comparison-warning"
-                className="mt-2 text-xs text-muted-foreground"
-              >
-                {t.selectedFactorsDiffer}:{' '}
-                {warnings
-                  .map(
-                    (warning) =>
-                      t.differenceLabels[warning as keyof typeof t.differenceLabels] ?? warning,
-                  )
-                  .join(', ')}
-                .
-              </p>
-            )}
-            {missingComponents && (
-              <p className="mt-2 text-xs text-muted-foreground">{t.missingComponents}</p>
-            )}
-            {operation === 'isolated-sum' && (
-              <p className="mt-2 text-xs text-muted-foreground">{t.isolatedNote}</p>
-            )}
-            {(yAxis === 'activation-rate' || yAxis === 'total-logical-rate') && (
-              <p className="mt-2 text-xs text-muted-foreground">{t.payloadNote}</p>
-            )}
-          </Card>
-        </TabsContent>
         <TabsContent value="inventory">
           <CollectiveXInventory
             dataset={dataset}

From 2e3205d8f592694ce79c8989dd82d12997c4f1e9 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Thu, 9 Jul 2026 00:28:13 +0800
Subject: [PATCH 13/37] Compress tooltip popup

---
 packages/app/cypress/e2e/collectivex.cy.ts    | 12 +++++++
 .../collectivex/CollectiveXChart.tsx          | 35 +++++++------------
 2 files changed, 24 insertions(+), 23 deletions(-)

diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index cdef8dc7b..0a879a113 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -94,6 +94,18 @@ describe('CollectiveX neutral run view', () => {
     cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('not.exist');
   });
 
+  it('pins a compact tooltip on point click', () => {
+    cy.get('[data-testid="collectivex-explorer-chart"] .point').first().click({ force: true });
+    cy.get('[data-chart-tooltip]:visible')
+      .should('contain.text', 'Click elsewhere to dismiss')
+      .and('contain.text', 'Round trip (measured) p99:')
+      .and('contain.text', 'Latency p50 / p90 / p95 / p99')
+      .and('contain.text', 'Full diagnostics')
+      // Deep diagnostics moved to the "Selected matrix case" tab.
+      .and('not.contain.text', 'Expert CV')
+      .and('not.contain.text', 'evidence=');
+  });
+
   it('notes that isolated sum is derived and never drives throughput', () => {
     cy.get('[data-testid="collectivex-operation-select"]').click();
     cy.contains('[role="option"]', 'Isolated sum').click();
diff --git a/packages/app/src/components/collectivex/CollectiveXChart.tsx b/packages/app/src/components/collectivex/CollectiveXChart.tsx
index 2b4a8b296..d543c578a 100644
--- a/packages/app/src/components/collectivex/CollectiveXChart.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXChart.tsx
@@ -6,7 +6,7 @@ import { useMemo } from 'react';
 import { D3Chart } from '@/lib/d3-chart/D3Chart';
 
 import { sparseLogTicks } from './axis';
-import { chartPoints, collectiveXColorKey, collectiveXTopologyLabel } from './data';
+import { chartPoints, collectiveXColorKey } from './data';
 import type {
   CollectiveXChartPoint,
   CollectiveXOperation,
@@ -235,36 +235,25 @@ export function CollectiveXChart({
       tooltip={{
         rulerType: 'crosshair',
         attachToLayer: 1,
+        // Compact by design: identity, the selected metric, and the component
+        // latency ladder. Full per-point diagnostics (routing stats, correctness,
+        // EPLB, provenance) live in the "Selected matrix case" tab.
         content: (point, isPinned) => {
           const color = colors[point.colorKey] ?? '#888';
           const measurement = point.point;
           const measuredRoundtrip = measurement.components.roundtrip;
-          const eplb = point.series.eplb;
-          const eplbDetails = eplb.enabled
-            ? `${escapeHtml(eplb.planner ?? 'enabled')} · ${eplb.physical_experts}/${eplb.logical_experts} physical/logical · ${eplb.redundant_experts} redundant · ${eplb.replicated_experts} replicated (max ${eplb.max_replicas ?? 'n/a'}x) · reference T=${eplb.reference_tokens_per_rank ?? 'n/a'} · imbalance ${eplb.imbalance_before?.toFixed(3) ?? 'n/a'} -> ${eplb.imbalance_after?.toFixed(3) ?? 'n/a'}`
-            : `off · ${eplb.logical_experts} logical experts`;
-          return `<div class="rounded-md border bg-background/95 px-3 py-2 text-xs shadow-md backdrop-blur-sm" style="min-width: 230px; user-select: ${isPinned ? 'text' : 'none'}">
+          return `<div class="rounded-md border bg-background/95 px-3 py-2 text-xs shadow-md backdrop-blur-sm" style="min-width: 230px; max-width: 380px; user-select: ${isPinned ? 'text' : 'none'}">
             ${isPinned ? '<div style="color: var(--muted-foreground); font-size: 10px; margin-bottom: 6px; font-style: italic;">Click elsewhere to dismiss</div>' : ''}
             <div class="font-semibold mb-1" style="color: ${color}">${escapeHtml(point.seriesLabel)}</div>
             <div>${escapeHtml(OPERATION_LABELS[operation])} ${yAxis === 'latency' ? percentile : `at ${percentile} latency`}: <strong>${formatMetric(point.y, yAxis)}</strong></div>
             <div class="text-muted-foreground">${measurement.tokens_per_rank} tokens/rank · ${measurement.global_tokens} global tokens</div>
-            <div class="mt-1 text-muted-foreground">Dispatch p50/p90/p95/p99: ${formatPercentiles(measurement.components.dispatch)}</div>
-            <div class="text-muted-foreground">Stage p50/p90/p95/p99: ${formatPercentiles(measurement.components.stage)}</div>
-            <div class="text-muted-foreground">Combine p50/p90/p95/p99: ${formatPercentiles(measurement.components.combine)}</div>
-            <div class="text-muted-foreground">Round trip p50/p90/p95/p99: ${formatPercentiles(measuredRoundtrip)}${measuredRoundtrip ? ' (measured)' : ''}</div>
-            <div class="text-muted-foreground">Fan-out: ${measurement.routing.fanout_mean.toFixed(2)} · routed copies: ${measurement.routing.routed_copies} · recv max: ${measurement.routing.recv_tokens_max}</div>
-            <div class="text-muted-foreground">Expert CV: ${measurement.routing.expert_load_cv.toFixed(3)} · rank CV: ${measurement.routing.payload_rank_cv.toFixed(3)} · hotspot: ${measurement.routing.hotspot_ratio.toFixed(2)}x · empty experts/ranks: ${measurement.routing.empty_expert_count}/${measurement.routing.empty_rank_count}</div>
-            <div class="text-muted-foreground">Correctness: ${measurement.correctness.passed ? 'pass' : 'fail'} · max rel err ${measurement.correctness.max_relative_error.toExponential(1)} · EPLB: ${eplbDetails}</div>
-            ${measurement.anomalies.length > 0 ? `<div class="text-muted-foreground">Anomalies: ${measurement.anomalies.map(escapeHtml).join(' · ')}</div>` : ''}
-            ${eplb.mapping_sha256 ? `<div class="text-muted-foreground" style="word-break: break-all;">EPLB mapping SHA-256: ${escapeHtml(eplb.mapping_sha256)}</div>` : ''}
-            <div class="mt-1 text-muted-foreground">Mode: ${escapeHtml(point.series.mode)} · payload unit: ${escapeHtml(point.series.measurement.payload_unit)} · combine: ${escapeHtml(point.series.measurement.combine_semantics)}</div>
-            <div class="text-muted-foreground">Topology: EP${point.series.system.ep_size} · ${escapeHtml(point.series.system.scope)} · ${escapeHtml(collectiveXTopologyLabel(point.series.system))}</div>
-            <div class="text-muted-foreground">${escapeHtml(point.series.measurement.contract)} · ${escapeHtml(point.series.suite)}</div>
-            <div class="text-muted-foreground">${escapeHtml(point.series.workload.precision_profile)} · dispatch ${escapeHtml(point.series.workload.dispatch_precision.communication_format)} · combine ${escapeHtml(point.series.workload.combine_precision.communication_format)}</div>
-            <div class="text-muted-foreground">${escapeHtml(point.series.workload.routing)}${point.series.workload.eplb ? '+eplb' : ''}</div>
-            <div class="mt-1 text-muted-foreground">workload=${escapeHtml(point.series.workload.workload_id.slice(0, 24))} · allocations=${point.series.allocation_ids.length}</div>
-            <div class="text-muted-foreground" style="word-break: break-all;">point=${escapeHtml(measurement.point_id)}</div>
-            <div class="text-muted-foreground">evidence=${measurement.evidence_ids.map((id) => escapeHtml(id.slice(-8))).join(' · ')}</div>
+            <div class="mt-1 text-muted-foreground">Latency p50 / p90 / p95 / p99</div>
+            <div class="text-muted-foreground">Dispatch: ${formatPercentiles(measurement.components.dispatch)}</div>
+            <div class="text-muted-foreground">Stage: ${formatPercentiles(measurement.components.stage)}</div>
+            <div class="text-muted-foreground">Combine: ${formatPercentiles(measurement.components.combine)}</div>
+            <div class="text-muted-foreground">Round trip: ${formatPercentiles(measuredRoundtrip)}${measuredRoundtrip ? ' (measured)' : ''}</div>
+            ${measurement.anomalies.length > 0 ? `<div class="mt-1 text-muted-foreground">Anomalies: ${measurement.anomalies.map(escapeHtml).join(' · ')}</div>` : ''}
+            ${isPinned ? '<div class="mt-1 text-muted-foreground" style="font-size: 10px;">Full diagnostics: "Selected matrix case" tab</div>' : ''}
           </div>`;
         },
         getRulerX: (point, scale) =>

From e4e160e42efa72c4b82e8f96be0ca677bc362a81 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Fri, 10 Jul 2026 10:23:55 +0800
Subject: [PATCH 14/37] feat(collectivex): ingest current backend contract +
 de-slop reader

The backend dropped the promotion-era shape: no format/schema_version
strings, no eplb/activation_profile/implementation.provenance/
resource_profile, and terminal-outcome docs are gone (failed correctness
now rides in-band as a case-attempt with outcome.status: invalid).

Reader/ingest updated to the current artifacts:
- discriminate docs by record_type ('case-attempt'), not doc.format;
  ignore 'samples'; identify the matrix structurally (requested_cases +
  include + version)
- relax the 3 raw ingest schemas (drop format literals; make removed
  fields optional) and remove the dead terminal schema
- surface non-success attempts as invalid coverage/attempts instead of
  mislabeling them 'pending'
- defensive derefs + valid-safeId defaults for the dropped nested objects

De-slop: remove dead exports, an unused param, and a stale i18n key.
Frontend-internal collectivex.view.v1 / collectivex.runs.v1 unchanged.
---
 .../collectivex/CollectiveXDisplay.tsx        |   2 -
 .../collectivex/CollectiveXInventory.tsx      |   6 +-
 .../src/components/collectivex/data.test.ts   |   5 +-
 .../app/src/components/collectivex/data.ts    |   8 +-
 .../src/components/collectivex/reader.test.ts |  96 +++++---
 .../app/src/components/collectivex/reader.ts  | 226 +++++++++---------
 .../components/collectivex/test-fixture.ts    | 160 +++++--------
 .../app/src/components/collectivex/types.ts   | 154 ++++--------
 .../app/src/lib/collectivex-github.test.ts    |   6 +-
 packages/app/src/lib/collectivex-github.ts    |  23 +-
 10 files changed, 309 insertions(+), 377 deletions(-)

diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index 58effd380..2340eaefc 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -90,7 +90,6 @@ const STRINGS = {
     yAxis: {
       latency: 'Latency',
       'tokens-per-second': 'Token rate at selected latency percentile',
-      'payload-rate': 'Logical payload rate at selected latency percentile',
     },
     mode: { normal: 'Normal', 'low-latency': 'Low latency' },
     fabricScope: { all: 'All', 'scale-up': 'Scale-up', 'scale-out': 'Scale-out' },
@@ -215,7 +214,6 @@ const STRINGS = {
     yAxis: {
       latency: '延迟',
       'tokens-per-second': '所选延迟分位点的 token 速率',
-      'payload-rate': '所选延迟分位点的逻辑载荷速率',
     },
     mode: { normal: '常规', 'low-latency': '低延迟' },
     fabricScope: { all: '全部', 'scale-up': '域内', 'scale-out': '跨域' },
diff --git a/packages/app/src/components/collectivex/CollectiveXInventory.tsx b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
index ddc60c958..62f9e84cf 100644
--- a/packages/app/src/components/collectivex/CollectiveXInventory.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
@@ -229,9 +229,6 @@ function correctnessSummary(row: PointRow): React.ReactNode {
         Correctness {correctness.passed ? 'pass' : 'fail'} · max rel err{' '}
         {correctness.max_relative_error.toExponential(1)}
       </p>
-      <p className="text-muted-foreground">
-        {correctness.contract} · {correctness.scope}
-      </p>
     </div>
   );
 }
@@ -378,7 +375,7 @@ export function CollectiveXCaseDetail({
       <dl className="mt-4 grid gap-4 border-y py-4 text-sm sm:grid-cols-2 lg:grid-cols-4">
         <DetailValue
           label="Resource"
-          value={`${item.resource.profile ?? 'unconfigured'} · ${item.resource.configured_units ?? '-'} ${item.resource.comm_units_kind ?? 'units'}`}
+          value={`${item.resource.configured_units ?? '-'} ${item.resource.comm_units_kind ?? 'units'}`}
         />
         <DetailValue
           label="Topology"
@@ -386,7 +383,6 @@ export function CollectiveXCaseDetail({
         />
         <DetailValue label="Dispatch precision" value={axisLabel(item.dispatch_precision)} />
         <DetailValue label="Combine precision" value={axisLabel(item.combine_precision)} />
-        <DetailValue label="Precision profile" value={item.precision_profile ?? 'n/a'} mono />
         <DetailValue label="Routing" value={routingKey(item)} />
         <DetailValue label="Backend" value={backendLabel(item)} />
       </dl>
diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
index 0e0d89706..9bac3932b 100644
--- a/packages/app/src/components/collectivex/data.test.ts
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -13,7 +13,7 @@ import {
 import { makeCollectiveXDataset, makeCollectiveXSeries } from './test-fixture';
 
 const dataset = makeCollectiveXDataset();
-// series[0]: nccl-ep EP8 scale-up (nvlink, single node).
+// series[0]: deepep-v2 EP8 scale-up (nvlink, single node).
 // series[1]: deepep EP16 scale-out (nvlink scale-up + rdma scale-out, two nodes).
 const [scaleUp, scaleOut] = dataset.series;
 
@@ -34,9 +34,8 @@ describe('collectiveXTopologyLabel', () => {
 describe('collectiveXSeriesLabel', () => {
   it('renders the identifying axes of a series', () => {
     const label = collectiveXSeriesLabel(scaleUp);
-    expect(label.startsWith('H200-DGXC EP8 · nccl-ep · normal · scale-up')).toBe(true);
+    expect(label.startsWith('H200-DGXC EP8 · deepep-v2 · normal · scale-up')).toBe(true);
     expect(label).toContain('decode');
-    expect(label).toContain('d-bf16.c-bf16');
     expect(label).toContain('unversioned');
     expect(label).toContain('build cccccccc');
   });
diff --git a/packages/app/src/components/collectivex/data.ts b/packages/app/src/components/collectivex/data.ts
index 65b498f0d..7d4ad8990 100644
--- a/packages/app/src/components/collectivex/data.ts
+++ b/packages/app/src/components/collectivex/data.ts
@@ -43,7 +43,7 @@ export function collectiveXSeriesLabel(series: CollectiveXSeries): string {
   const build = series.build.source_sha.slice(0, 8);
   const identity = series.series_id.slice(-8);
   const routing = `${series.workload.routing}${series.workload.eplb ? '+eplb' : ''}`;
-  return `${series.system.sku.toUpperCase()} EP${series.system.ep_size} · ${series.backend.label} · ${series.mode} · ${series.system.scope} · ${series.system.topology_class} · ${series.phase} · ${routing} · ${series.workload.precision_profile} · ${version} · ${series.resource.profile} · build ${build} · series ${identity}`;
+  return `${series.system.sku.toUpperCase()} EP${series.system.ep_size} · ${series.backend.label} · ${series.mode} · ${series.system.scope} · ${series.system.topology_class} · ${series.phase} · ${routing} · ${version} · build ${build} · series ${identity}`;
 }
 
 export function collectiveXColorKey(series: CollectiveXSeries): string {
@@ -70,15 +70,13 @@ export function collectiveXColorKey(series: CollectiveXSeries): string {
     series.backend.id,
     series.backend.generation ?? 'default',
     series.backend.version ?? 'unversioned',
-    series.build.image_digest,
+    series.build.image,
     series.build.source_sha,
     series.build.squash_sha256,
     routing,
-    series.workload.precision_profile,
     JSON.stringify(series.workload.dispatch_precision),
     JSON.stringify(series.workload.combine_precision),
     eplb,
-    series.resource.profile,
     units,
   ].join('_');
 }
@@ -181,7 +179,7 @@ export function comparisonDifferences(series: CollectiveXSeries[]): string[] {
     [
       'dtypes',
       (item) =>
-        `${item.workload.precision_profile}/${JSON.stringify(item.workload.dispatch_precision)}/${JSON.stringify(item.workload.combine_precision)}`,
+        `${JSON.stringify(item.workload.dispatch_precision)}/${JSON.stringify(item.workload.combine_precision)}`,
     ],
     ['resource profile', (item) => JSON.stringify(item.resource)],
     ['measurement', (item) => JSON.stringify(item.measurement)],
diff --git a/packages/app/src/components/collectivex/reader.test.ts b/packages/app/src/components/collectivex/reader.test.ts
index f8143f9c8..f08ed8744 100644
--- a/packages/app/src/components/collectivex/reader.test.ts
+++ b/packages/app/src/components/collectivex/reader.test.ts
@@ -18,14 +18,13 @@ import {
   buildDataset,
   makeCollectiveXDataset,
   makeCollectiveXSeries,
+  makeInvalidCaseAttempt,
   makeRawMatrix,
   makeRawShard,
-  makeRawTerminal,
   makeRunMeta,
 } from './test-fixture';
 
 const IMAGE_DIGEST = `sha256:${'a'.repeat(64)}`;
-const SQUASH_SHA256 = 'b'.repeat(64);
 const SOURCE_SHA = 'c'.repeat(40);
 
 function fakeResponse(body: string, status = 200): Response {
@@ -44,7 +43,7 @@ describe('CollectiveX neutral → view assembly', () => {
     const dataset = makeCollectiveXDataset();
     expect(dataset.format).toBe('collectivex.view.v1');
     expect(dataset.schema_version).toBe(1);
-    // Two measured series (nccl-ep EP8 scale-up + deepep EP16 scale-out).
+    // Two measured series (deepep-v2 EP8 scale-up + deepep EP16 scale-out).
     expect(dataset.series).toHaveLength(2);
     // Four requested coverage rows: two measured, one unsupported terminal, one pending.
     expect(dataset.coverage).toHaveLength(4);
@@ -71,13 +70,56 @@ describe('CollectiveX neutral → view assembly', () => {
     expect(run.requested_points).toBe(8);
   });
 
-  it('emits one attempt per measured shard and none for an id-less terminal doc', () => {
+  it('emits one attempt per measured shard', () => {
     const dataset = makeCollectiveXDataset();
     expect(dataset.attempts).toHaveLength(2);
     expect(dataset.attempts.every((attempt) => attempt.outcome === 'success')).toBe(true);
     // Both success shards share one GHA run+attempt, so one allocation.
     expect(dataset.run.allocation_count).toBe(1);
   });
+
+  // Feed the assembler exactly what a run's shard artifact carries: the matrix, a
+  // current-backend case-attempt, and a co-located `samples` dump the reader must drop.
+  interface ShardIdentity {
+    case_id: string;
+    case_factors: { sku: string; case: Record<string, unknown> };
+  }
+  const requestedOf = (shard: Record<string, unknown>) => {
+    const { case_id: caseId, case_factors } = shard.identity as ShardIdentity;
+    return {
+      caseId,
+      sku: case_factors.sku,
+      disposition: 'runnable' as const,
+      case: case_factors.case,
+    };
+  };
+
+  it('assembles measured coverage from a matrix + success case-attempt and ignores a samples doc', () => {
+    const shard = makeRawShard({ backend: 'deepep-v2' });
+    const matrix = makeRawMatrix([requestedOf(shard)]);
+    const samples = { record_type: 'samples', identity: shard.identity, rows: [] };
+    const dataset = buildDatasetFromNeutral(matrix, [shard, samples], makeRunMeta());
+
+    expect(dataset.series).toHaveLength(1);
+    expect(dataset.coverage).toHaveLength(1);
+    expect(dataset.coverage[0].outcome).toBe('success');
+    expect(dataset.coverage[0].points.every((point) => point.terminal_status === 'measured')).toBe(
+      true,
+    );
+  });
+
+  it('surfaces an invalid case-attempt as an invalid coverage outcome, not pending', () => {
+    const shard = makeInvalidCaseAttempt({ backend: 'deepep-v2' });
+    const dataset = buildDatasetFromNeutral(
+      makeRawMatrix([requestedOf(shard)]),
+      [shard],
+      makeRunMeta(),
+    );
+
+    expect(dataset.series).toHaveLength(0);
+    expect(dataset.coverage[0].outcome).toBe('invalid');
+    expect(dataset.attempts[0].outcome).toBe('invalid');
+  });
 });
 
 // ---------------------------------------------------------------------------
@@ -88,16 +130,16 @@ describe('CollectiveX neutral field synthesis', () => {
     const dataset = buildDataset({ shards: [makeRawShard({ runId: '208', runAttempt: '2' })] });
     const series = dataset.series[0];
     // No series_id emitted → series key falls back to case_id.
-    expect(series.series_id).toBe('h200-dgxc-nccl-ep-deepseek-v3-normal-decode-ep8-uniform');
+    expect(series.series_id).toBe('h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform');
     expect(series.allocation_ids).toEqual(['alloc-208-2']);
     expect(series.points[0].evidence_ids).toEqual([`ev-${series.points[0].point_id}`]);
   });
 
   it('folds provenance into the build and defaults combine quant mode to none', () => {
     const series = makeCollectiveXSeries();
-    expect(series.build.image_digest).toBe(IMAGE_DIGEST);
+    expect(series.build.image).toBe(IMAGE_DIGEST);
     expect(series.build.source_sha).toBe(SOURCE_SHA);
-    expect(series.build.squash_sha256).toBe(SQUASH_SHA256);
+    expect(series.build.squash_sha256).toBe('');
     expect(series.workload.workload_id).toBe('deepseek-v3');
     expect(series.workload.combine_precision.quant_mode).toBe('none');
   });
@@ -167,33 +209,19 @@ describe('CollectiveX terminal coverage', () => {
     expect(pending?.attempt_ids).toEqual([]);
   });
 
-  it('emits a terminal attempt when the doc carries full-format ids', () => {
-    const caseId = 'h100-dgxc-nccl-ep-deepseek-v3-normal-decode-ep8-uniform';
-    const terminal = makeRawTerminal({
-      caseId,
-      sku: 'h100-dgxc',
-      status: 'failed',
-      withAttempt: true,
-    });
+  it('surfaces a non-success case-attempt as an in-band invalid outcome, not pending', () => {
+    // The retired terminal-outcome doc is now a `record_type: 'case-attempt'` whose
+    // outcome.status is non-success; it stands in for the case's terminal result.
     const dataset = buildDataset({
-      shards: [],
-      terminals: [terminal],
-      requestedCases: [
-        {
-          caseId,
-          sku: 'h100-dgxc',
-          disposition: 'runnable',
-          case: (
-            makeRawShard({ caseId, sku: 'h100-dgxc' }).identity as {
-              case_factors: { case: Record<string, unknown> };
-            }
-          ).case_factors.case,
-        },
-      ],
+      shards: [makeInvalidCaseAttempt({ sku: 'h100-dgxc', reasons: ['kernel-timeout'] })],
     });
     expect(dataset.attempts).toHaveLength(1);
-    expect(dataset.attempts[0].outcome).toBe('failed');
-    expect(dataset.coverage[0].outcome).toBe('failed');
+    expect(dataset.attempts[0].outcome).toBe('invalid');
+    expect(dataset.coverage).toHaveLength(1);
+    expect(dataset.coverage[0].outcome).toBe('invalid');
+    expect(dataset.coverage[0].reason).toBe('kernel-timeout');
+    // No successful shard → no series is assembled.
+    expect(dataset.series).toHaveLength(0);
   });
 });
 
@@ -213,7 +241,7 @@ describe('CollectiveX run summary', () => {
 // Raw ingest rejections
 // ---------------------------------------------------------------------------
 describe('CollectiveX raw ingest rejections', () => {
-  it('rejects a matrix doc with the wrong format', () => {
+  it('rejects a matrix doc missing its required arrays', () => {
     expect(() => buildDatasetFromNeutral({ format: 'nope' }, [], makeRunMeta())).toThrow(/matrix/);
   });
 
@@ -224,10 +252,10 @@ describe('CollectiveX raw ingest rejections', () => {
     expect(() => buildDatasetFromNeutral(matrix, [shard], makeRunMeta())).toThrow(/shard/);
   });
 
-  it('ignores raw docs whose format is neither ep nor terminal', () => {
+  it('ignores docs whose record_type is not case-attempt (e.g. samples)', () => {
     const dataset = buildDatasetFromNeutral(
       makeRawMatrix([]),
-      [{ format: 'collectivex.samples.v1' }],
+      [{ record_type: 'samples', rows: [] }],
       makeRunMeta(),
     );
     expect(dataset.series).toHaveLength(0);
diff --git a/packages/app/src/components/collectivex/reader.ts b/packages/app/src/components/collectivex/reader.ts
index 3e54f433e..01b0e4f1e 100644
--- a/packages/app/src/components/collectivex/reader.ts
+++ b/packages/app/src/components/collectivex/reader.ts
@@ -4,7 +4,6 @@ import {
   collectiveXDatasetSchema,
   collectiveXRawCaseAttemptSchema,
   collectiveXRawMatrixSchema,
-  collectiveXRawTerminalSchema,
   collectiveXRunsSchema,
   COLLECTIVEX_DEFAULT_VERSION,
   type CollectiveXAttempt,
@@ -17,9 +16,7 @@ import {
   type CollectiveXPrecisionAxis,
   type CollectiveXRawCase,
   type CollectiveXRawCaseAttempt,
-  type CollectiveXRawProfile,
   type CollectiveXRawRow,
-  type CollectiveXRawTerminal,
   type CollectiveXResolvedDataset,
   type CollectiveXRuns,
   type CollectiveXRunSummary,
@@ -167,12 +164,13 @@ export function parseCollectiveXRuns(value: unknown, version: CollectiveXVersion
 // ---------------------------------------------------------------------------
 // Neutral → view builder
 //
-// Runs server-side (route.ts) over the raw docs collectivex-github.ts downloaded:
-// one collectivex.matrix.v1 doc, plus every collectivex.ep.v1 (case-attempt) and
-// collectivex.terminal.v1 (terminal-outcome) doc from the run's shard/unsupported
-// artifacts. Assembles the neutral view dataset, deriving the data-rate fields the
-// retired publisher used to store. The assembled dataset is validated against the
-// view schema before it is returned, so the served JSON is always schema-valid.
+// Runs server-side (route.ts) over the raw docs collectivex-github.ts downloaded: one matrix
+// doc (identified structurally) plus every `case-attempt` document from the run's shard
+// artifacts, discriminated by `record_type`. `samples` documents are ignored. The backend no
+// longer emits separate terminal-outcome documents; a non-success (`invalid`) case-attempt
+// carries its own terminal outcome in-band. Assembles the neutral view dataset, deriving the
+// data-rate fields the retired publisher used to store. The assembled dataset is validated
+// against the view schema before it is returned, so the served JSON is always schema-valid.
 // ---------------------------------------------------------------------------
 export interface CollectiveXNeutralRunMeta {
   run_id: string;
@@ -183,8 +181,6 @@ export interface CollectiveXNeutralRunMeta {
   source_bundle_ids: string[];
 }
 
-const ACTIVATION_ACCOUNTING = 'activation-data-plus-scales-v1' as const;
-
 function toOutcome(status: string): CollectiveXOutcome {
   switch (status) {
     case 'success':
@@ -237,7 +233,6 @@ function mapComponent(
     };
   }
   const byte_provenance = {
-    accounting_contract: ACTIVATION_ACCOUNTING,
     activation_data_bytes: bytes.activation_data_bytes,
     scale_bytes: bytes.scale_bytes ?? 0,
     total_logical_bytes: bytes.total_logical_bytes,
@@ -258,19 +253,23 @@ function mapComponent(
   };
 }
 
-function precisionProfileId(profile: CollectiveXRawProfile): string {
-  return `d-${profile.dtype}.c-${profile.combine_dtype}`;
-}
-
-function dispatchPrecision(profile: CollectiveXRawProfile): CollectiveXPrecisionAxis {
-  return { communication_format: profile.dtype, quant_mode: 'none', semantics: 'dispatch' };
+function dispatchPrecision(
+  measurement: CollectiveXRawCaseAttempt['measurement'],
+): CollectiveXPrecisionAxis {
+  return {
+    communication_format: measurement.dispatch_dtype,
+    quant_mode: 'none',
+    semantics: 'dispatch',
+  };
 }
 
-function combinePrecision(profile: CollectiveXRawProfile): CollectiveXPrecisionAxis {
+function combinePrecision(
+  measurement: CollectiveXRawCaseAttempt['measurement'],
+): CollectiveXPrecisionAxis {
   return {
-    communication_format: profile.combine_dtype,
-    quant_mode: profile.combine_quant_mode ?? 'none',
-    semantics: profile.combine_semantics,
+    communication_format: measurement.combine_dtype,
+    quant_mode: 'none',
+    semantics: measurement.combine_semantics,
   };
 }
 
@@ -299,22 +298,24 @@ function allocationIdOf(shard: CollectiveXRawCaseAttempt): string {
   return `alloc-${allocation_factors.run_id}-${allocation_factors.run_attempt}`;
 }
 
-function evidenceIdOf(row: CollectiveXRawRow): string {
-  // point_id is unique per row, so it yields a unique, safe evidence id.
-  return row.evidence_id ?? `ev-${row.point_id}`;
+function pointIdOf(caseId: string, row: CollectiveXRawRow): string {
+  return row.point_id ?? `${caseId}-t${row.tokens_per_rank}`;
+}
+
+function evidenceIdOf(caseId: string, row: CollectiveXRawRow): string {
+  return row.evidence_id ?? `ev-${pointIdOf(caseId, row)}`;
 }
 
 function seriesBuild(shard: CollectiveXRawCaseAttempt): CollectiveXSeries['build'] {
   const factors = shard.identity.series_factors;
-  const image = shard.provenance?.image;
   return {
-    image_digest: factors?.image_digest ?? image?.digest ?? '',
+    image: factors?.image_digest ?? shard.provenance.image ?? '',
     source_sha:
       factors?.source_sha ??
       shard.identity.allocation_factors.source_sha ??
-      shard.provenance?.git_run?.source_sha ??
+      shard.provenance.source_sha ??
       '',
-    squash_sha256: factors?.squash_sha256 ?? image?.squash_sha256 ?? '',
+    squash_sha256: factors?.squash_sha256 ?? '',
   };
 }
 
@@ -343,17 +344,15 @@ function mapAnomalies(anomalies: CollectiveXRawRow['anomalies']): string[] {
   return [...seen];
 }
 
-function mapPoint(row: CollectiveXRawRow): CollectiveXPoint {
+function mapPoint(caseId: string, row: CollectiveXRawRow): CollectiveXPoint {
   return {
-    point_id: row.point_id,
+    point_id: pointIdOf(caseId, row),
     tokens_per_rank: row.tokens_per_rank,
     global_tokens: row.global_tokens,
     anomalies: mapAnomalies(row.anomalies),
     correctness: {
       passed: row.correctness.passed,
       max_relative_error: row.correctness.max_relative_error,
-      contract: row.correctness.contract,
-      scope: row.correctness.scope,
     },
     routing: {
       fanout_mean: row.routing.fanout_mean,
@@ -373,16 +372,15 @@ function mapPoint(row: CollectiveXRawRow): CollectiveXPoint {
       isolated_sum: mapComponent(row.components.isolated_sum, row.byte_provenance.isolated_sum),
     },
     roundtrip_token_rate_at_latency_percentile: row.token_rate_at_latency_percentile,
-    evidence_ids: [evidenceIdOf(row)],
+    evidence_ids: [evidenceIdOf(caseId, row)],
   };
 }
 
 function buildSeries(shard: CollectiveXRawCaseAttempt): CollectiveXSeries {
-  const { identity, topology, implementation, measurement, runtime_fingerprint } = shard;
+  const { identity, topology, implementation, measurement, runtime } = shard;
   const kase = identity.case_factors.case;
-  const profile = identity.case_factors.profile;
   const sku = identity.case_factors.sku;
-  const vendor = runtime_fingerprint.vendor === 'amd' ? 'amd' : 'nvidia';
+  const vendor = runtime.vendor === 'amd' ? 'amd' : 'nvidia';
   return {
     series_id: seriesKeyOf(shard),
     label: caseLabel(sku, kase.backend, kase.phase, kase.ep),
@@ -394,8 +392,9 @@ function buildSeries(shard: CollectiveXRawCaseAttempt): CollectiveXSeries {
     backend: {
       id: identity.series_factors?.backend ?? kase.backend,
       label: implementation.name,
-      generation: implementation.provenance.backend_lineage ?? null,
-      version: implementation.provenance.deepep_version ?? null,
+      // provenance was retired with EPLB; legacy shards still carry it, the neutral MVP omits it.
+      generation: implementation.provenance?.backend_lineage ?? null,
+      version: implementation.provenance?.deepep_version ?? null,
     },
     build: seriesBuild(shard),
     system: {
@@ -420,19 +419,20 @@ function buildSeries(shard: CollectiveXRawCaseAttempt): CollectiveXSeries {
       top_k: kase.topk,
       experts: kase.experts,
       routing: kase.routing === 'zipf' ? 'zipf' : 'uniform',
-      eplb: kase.eplb,
-      precision_profile: precisionProfileId(profile),
-      dispatch_precision: dispatchPrecision(profile),
-      combine_precision: combinePrecision(profile),
-      activation_profile: profile.activation_profile,
+      // eplb / activation_profile were retired from the neutral backend; default when absent
+      // (activation_profile feeds a required safeId in the view schema, so use a valid slug).
+      eplb: kase.eplb ?? false,
+      dispatch_precision: dispatchPrecision(measurement),
+      combine_precision: combinePrecision(measurement),
+      activation_profile: shard.workload.activation_profile ?? 'fixed-profile',
     },
     eplb: {
-      enabled: kase.eplb,
-      planner: profile.eplb_planner ?? null,
+      enabled: kase.eplb ?? false,
+      planner: null,
       logical_experts: kase.experts,
       physical_experts: null,
-      redundant_experts: profile.eplb_redundant_experts ?? 0,
-      reference_tokens_per_rank: profile.eplb_reference_tokens_per_rank ?? null,
+      redundant_experts: 0,
+      reference_tokens_per_rank: null,
       replicated_experts: null,
       max_replicas: null,
       imbalance_before: null,
@@ -440,28 +440,28 @@ function buildSeries(shard: CollectiveXRawCaseAttempt): CollectiveXSeries {
       mapping_sha256: null,
     },
     resource: {
-      mode: profile.resource_mode ?? 'fixed-profile',
-      profile: implementation.resource_profile.resource_class ?? 'fixed-profile',
-      comm_units_kind: implementation.resource_profile.comm_units_kind ?? null,
-      configured_units: implementation.resource_profile.configured_units ?? null,
+      // resource_profile was retired with EPLB; the neutral MVP pins one fixed profile.
+      mode: 'fixed-profile',
+      comm_units_kind: implementation.resource_profile?.comm_units_kind ?? null,
+      configured_units: implementation.resource_profile?.configured_units ?? null,
     },
     measurement: {
-      contract: measurement.contract,
-      combine_semantics: profile.combine_semantics,
-      payload_unit: profile.payload_unit,
+      combine_semantics: measurement.combine_semantics,
+      payload_unit: measurement.payload_unit,
       iters: measurement.sampling.iterations_per_trial,
       trials: measurement.sampling.trials,
       warmups: measurement.sampling.warmup_iterations,
       samples_per_component: measurement.sampling.samples_per_component,
     },
-    points: measurement.rows.map((row) => mapPoint(row)),
+    points: measurement.rows.map((row) => mapPoint(identity.case_id, row)),
   };
 }
 
 function successAttempt(shard: CollectiveXRawCaseAttempt): CollectiveXAttempt {
   const { identity } = shard;
+  const attemptId = `${identity.case_id}-a${String(identity.attempt_ordinal).padStart(2, '0')}`;
   return {
-    attempt_id: identity.attempt_id,
+    attempt_id: attemptId,
     case_id: identity.case_id,
     allocation_id: allocationIdOf(shard),
     run_id: identity.allocation_factors.run_id,
@@ -472,32 +472,28 @@ function successAttempt(shard: CollectiveXRawCaseAttempt): CollectiveXAttempt {
     reason: null,
     selected: true,
     evidence: shard.measurement.rows.map((row) => ({
-      evidence_id: evidenceIdOf(row),
-      point_id: row.point_id,
+      evidence_id: evidenceIdOf(identity.case_id, row),
+      point_id: pointIdOf(identity.case_id, row),
     })),
   };
 }
 
-function terminalAttempt(doc: CollectiveXRawTerminal): CollectiveXAttempt | null {
-  const { identity, outcome } = doc;
-  const attemptId = identity.attempt_id;
-  const caseId = identity.case_id;
-  const allocationId = identity.allocation_id;
-  const runId = identity.allocation_factors?.run_id;
-  // Terminal docs from the capability resolver carry full-format IDs; only emit an
-  // attempt when they are all present, otherwise the coverage row records the outcome.
-  if (!attemptId || !caseId || !allocationId || !runId) return null;
-  const mapped = toOutcome(outcome.status);
+// The backend no longer emits standalone terminal-outcome docs; a non-success case-attempt
+// (outcome.status !== 'success') carries its terminal outcome in-band. Its identity has the
+// same full-format ids as a success shard, so the attempt is built the same way with the
+// mapped outcome, no measured evidence, and the first in-band reason.
+function caseAttemptTerminal(shard: CollectiveXRawCaseAttempt): CollectiveXAttempt {
+  const { identity, outcome } = shard;
   return {
-    attempt_id: attemptId,
-    case_id: caseId,
-    allocation_id: allocationId,
-    run_id: runId,
-    run_attempt: Number(identity.allocation_factors?.run_attempt) || 1,
-    attempt_index: identity.attempt_ordinal ?? 1,
-    outcome: mapped,
-    failure_mode: outcome.failure_mode ?? null,
-    reason: outcome.reason ?? outcome.failure_mode ?? null,
+    attempt_id: `${identity.case_id}-a${String(identity.attempt_ordinal).padStart(2, '0')}`,
+    case_id: identity.case_id,
+    allocation_id: allocationIdOf(shard),
+    run_id: identity.allocation_factors.run_id,
+    run_attempt: Number(identity.allocation_factors.run_attempt) || 1,
+    attempt_index: identity.attempt_ordinal,
+    outcome: toOutcome(outcome.status),
+    failure_mode: null,
+    reason: outcome.reasons?.[0] ?? null,
     selected: true,
     evidence: [],
   };
@@ -514,7 +510,7 @@ function ladderTokens(kase: CollectiveXRawCase): number[] {
 
 function measuredCoveragePoints(shard: CollectiveXRawCaseAttempt): CollectiveXCoveragePoint[] {
   return shard.measurement.rows.map((row) => ({
-    point_id: row.point_id,
+    point_id: pointIdOf(shard.identity.case_id, row),
     series_id: seriesKeyOf(shard),
     tokens_per_rank: row.tokens_per_rank,
     global_tokens: row.global_tokens,
@@ -546,29 +542,30 @@ export function buildDatasetFromNeutral(
 ): CollectiveXDataset {
   const matrix = parseWith(collectiveXRawMatrixSchema, matrixRaw, 'matrix');
 
+  // Discriminate by record_type: only `case-attempt` docs are ingested. `samples` dumps and
+  // any other record type are ignored, as is the matrix doc (handled above).
   const shards: CollectiveXRawCaseAttempt[] = [];
-  const terminals: CollectiveXRawTerminal[] = [];
   for (const doc of docs) {
-    const format = (doc as { format?: unknown } | null)?.format;
-    if (format === 'collectivex.ep.v1') {
+    const recordType = (doc as { record_type?: unknown } | null)?.record_type;
+    if (recordType === 'case-attempt') {
       shards.push(parseWith(collectiveXRawCaseAttemptSchema, doc, 'shard'));
-    } else if (format === 'collectivex.terminal.v1') {
-      terminals.push(parseWith(collectiveXRawTerminalSchema, doc, 'terminal'));
     }
-    // Other formats (e.g. collectivex.samples.v1 raw sample dumps) are ignored.
   }
 
   const successShards = shards.filter((shard) => shard.outcome.status === 'success');
+  const nonSuccessShards = shards.filter((shard) => shard.outcome.status !== 'success');
   const seriesByCaseId = new Map<string, CollectiveXRawCaseAttempt>();
   for (const shard of successShards) {
     if (!seriesByCaseId.has(shard.identity.case_id)) {
       seriesByCaseId.set(shard.identity.case_id, shard);
     }
   }
-  const terminalsByCaseId = new Map<string, CollectiveXRawTerminal>();
-  for (const doc of terminals) {
-    const caseId = doc.identity.case_id;
-    if (caseId && !terminalsByCaseId.has(caseId)) terminalsByCaseId.set(caseId, doc);
+  // Non-success case-attempts stand in for the retired terminal-outcome docs: a case with no
+  // successful shard but an `invalid`/`failed` attempt records that terminal outcome.
+  const nonSuccessByCaseId = new Map<string, CollectiveXRawCaseAttempt>();
+  for (const shard of nonSuccessShards) {
+    const caseId = shard.identity.case_id;
+    if (!nonSuccessByCaseId.has(caseId)) nonSuccessByCaseId.set(caseId, shard);
   }
 
   // Series: one per distinct successful series key (retries of a case share it).
@@ -580,13 +577,10 @@ export function buildDatasetFromNeutral(
     }
   }
 
-  // Attempts: every success shard and every terminal doc with full-format IDs.
+  // Attempts: every success shard and every non-success case-attempt.
   const attempts: CollectiveXAttempt[] = [];
   for (const shard of successShards) attempts.push(successAttempt(shard));
-  for (const doc of terminals) {
-    const attempt = terminalAttempt(doc);
-    if (attempt) attempts.push(attempt);
-  }
+  for (const shard of nonSuccessShards) attempts.push(caseAttemptTerminal(shard));
   const attemptsByCaseId = new Map<string, CollectiveXAttempt[]>();
   for (const attempt of attempts) {
     attemptsByCaseId.set(attempt.case_id, [
@@ -602,56 +596,56 @@ export function buildDatasetFromNeutral(
     const caseId = kase.case_id;
     if (!caseId) continue;
     const shard = seriesByCaseId.get(caseId);
-    const terminal = terminalsByCaseId.get(caseId);
+    const nonSuccess = nonSuccessByCaseId.get(caseId);
     const caseAttempts = attemptsByCaseId.get(caseId) ?? [];
     const attemptIds = caseAttempts.map((attempt) => attempt.attempt_id);
 
+    // failure_mode is not part of the current backend contract (no failure
+    // taxonomy is emitted), so it is always null here.
+    const failureMode: string | null = null;
     let outcome: CollectiveXOutcome;
     let points: CollectiveXCoveragePoint[];
-    let selectedAttemptId: string | null;
-    let failureMode: string | null;
+    let selectedAttemptId: string | null = null;
     let reason: string | null;
 
     if (shard) {
       outcome = 'success';
       points = measuredCoveragePoints(shard);
-      selectedAttemptId = shard.identity.attempt_id;
-      failureMode = null;
+      selectedAttemptId = `${caseId}-a${String(shard.identity.attempt_ordinal).padStart(2, '0')}`;
       reason = null;
-    } else if (terminal) {
-      outcome = toOutcome(terminal.outcome.status);
-      reason = terminal.outcome.reason ?? terminal.outcome.failure_mode ?? 'unspecified';
+    } else if (nonSuccess) {
+      outcome = toOutcome(nonSuccess.outcome.status);
+      reason = nonSuccess.outcome.reasons?.[0] ?? 'invalid';
       points = terminalCoveragePoints(kase, toTerminalStatus(outcome), reason);
-      selectedAttemptId = terminal.identity.attempt_id ?? null;
-      failureMode = terminal.outcome.failure_mode ?? null;
+      selectedAttemptId = `${caseId}-a${String(nonSuccess.identity.attempt_ordinal).padStart(2, '0')}`;
+    } else if (requested.disposition === 'unsupported') {
+      outcome = 'unsupported';
+      reason = requested.reason ?? 'unsupported';
+      points = terminalCoveragePoints(kase, 'unsupported', reason);
     } else {
       outcome = 'pending';
       reason = 'pending';
       points = terminalCoveragePoints(kase, 'pending', reason);
-      selectedAttemptId = null;
-      failureMode = null;
     }
 
-    const profile = shard?.identity.case_factors.profile;
+    const measurement = shard?.measurement;
     coverage.push({
       case_id: caseId,
       label: caseLabel(requested.sku, kase.backend, kase.phase, kase.ep),
       disposition: requested.disposition,
       sku: requested.sku,
       backend: kase.backend,
-      backend_generation: shard?.implementation.provenance.backend_lineage ?? null,
+      backend_generation: shard?.implementation.provenance?.backend_lineage ?? null,
       mode: kase.mode === 'low-latency' ? 'low-latency' : 'normal',
       phase: kase.phase === 'prefill' ? 'prefill' : 'decode',
       routing: kase.routing === 'zipf' ? 'zipf' : 'uniform',
-      eplb: kase.eplb,
-      precision_profile: profile ? precisionProfileId(profile) : null,
-      dispatch_precision: profile ? dispatchPrecision(profile) : null,
-      combine_precision: profile ? combinePrecision(profile) : null,
+      eplb: kase.eplb ?? false,
+      dispatch_precision: measurement ? dispatchPrecision(measurement) : null,
+      combine_precision: measurement ? combinePrecision(measurement) : null,
       resource: {
-        mode: profile?.resource_mode ?? null,
-        profile: shard?.implementation.resource_profile.resource_class ?? null,
-        comm_units_kind: shard?.implementation.resource_profile.comm_units_kind ?? null,
-        configured_units: shard?.implementation.resource_profile.configured_units ?? null,
+        mode: shard ? 'fixed-profile' : null,
+        comm_units_kind: shard?.implementation.resource_profile?.comm_units_kind ?? null,
+        configured_units: shard?.implementation.resource_profile?.configured_units ?? null,
       },
       topology: {
         ep_size: kase.ep,
diff --git a/packages/app/src/components/collectivex/test-fixture.ts b/packages/app/src/components/collectivex/test-fixture.ts
index 070b1ff63..b39e86b13 100644
--- a/packages/app/src/components/collectivex/test-fixture.ts
+++ b/packages/app/src/components/collectivex/test-fixture.ts
@@ -1,12 +1,15 @@
 // Neutral-format test fixtures.
 //
-// The CollectiveX frontend consumes three neutral GitHub-artifact formats
-// (collectivex.matrix.v1, collectivex.ep.v1, collectivex.terminal.v1) and assembles
-// the served view dataset with `buildDatasetFromNeutral`. These builders emit those
-// raw artifacts and run them through the real assembler, so a fixture dataset exercises
-// the exact ingest → synthesis → strict-view-validation path the route uses. Building on
-// the real pipeline also guarantees every returned CollectiveXSeries / CollectiveXDataset
-// is view-schema-valid, which is what the data-helper tests operate on.
+// The CollectiveX frontend consumes the neutral GitHub artifacts a sweep run uploads: one
+// matrix document (identified structurally) plus `case-attempt` records (discriminated by
+// `record_type`), and assembles the served view dataset with `buildDatasetFromNeutral`.
+// These builders emit those raw artifacts in the current neutral shape (no `format` tags, no
+// retired EPLB/provenance/resource fields) and run them through the real assembler, so a
+// fixture dataset exercises the exact ingest → synthesis → strict-view-validation path the
+// route uses. A non-success case-attempt (`status: 'invalid'`) carries its terminal outcome
+// in-band; the backend no longer emits standalone terminal-outcome documents. Building on the
+// real pipeline also guarantees every returned CollectiveXSeries / CollectiveXDataset is
+// view-schema-valid, which is what the data-helper tests operate on.
 
 import { buildDatasetFromNeutral, type CollectiveXNeutralRunMeta } from './reader';
 import type { CollectiveXDataset, CollectiveXSeries } from './types';
@@ -68,17 +71,15 @@ export interface ShardOverrides {
   squashSha256?: string;
   dtype?: string;
   combineDtype?: string;
-  combineQuantMode?: string;
   combineSemantics?: string;
   payloadUnit?: string;
   activationProfile?: string;
-  resourceMode?: string;
   resourceClass?: string;
   commUnitsKind?: string | null;
   configuredUnits?: number | null;
-  eplbPlanner?: string | null;
-  eplbRedundant?: number;
   status?: string;
+  // In-band failure reasons for a non-success (`invalid`) case-attempt.
+  reasons?: string[];
   rows?: RowOverrides[];
   // Emit the retired promotion-era identity fields so the legacy-passthrough path is
   // covered (series_id / allocation_id / series_factors present).
@@ -100,14 +101,13 @@ function component(base: number, sampleCount = 512, origin = 'measured'): Json {
 
 function bytes(activation: number): Json {
   return {
-    accounting_contract: 'activation-data-plus-scales-v1',
     activation_data_bytes: activation,
     scale_bytes: 0,
     total_logical_bytes: activation,
   };
 }
 
-function makeRawRow(caseId: string, index: number, row: RowOverrides): Json {
+function makeRawRow(index: number, row: RowOverrides): Json {
   const tokensPerRank = row.tokensPerRank ?? 128 * (index + 1);
   const components: Json = {
     dispatch: component(417 + index),
@@ -131,15 +131,12 @@ function makeRawRow(caseId: string, index: number, row: RowOverrides): Json {
     byteProvenance.stage = row.stageZeroBytes ? bytes(0) : bytes(192381952);
   }
   return {
-    point_id: `${caseId}-t${index + 1}`,
     tokens_per_rank: tokensPerRank,
     global_tokens: row.globalTokens ?? tokensPerRank * 8,
     anomalies: row.anomalies,
     correctness: {
       passed: row.correctnessPassed ?? true,
       max_relative_error: row.maxRelativeError ?? 0.004,
-      contract: 'allclose-v1',
-      scope: 'per-rank',
     },
     routing: {
       fanout_mean: 6.55,
@@ -158,11 +155,10 @@ function makeRawRow(caseId: string, index: number, row: RowOverrides): Json {
 }
 
 function makeRawCase(o: ShardOverrides, caseId: string): Json {
-  return {
+  const kase: Json = {
     case_id: caseId,
-    backend: o.backend ?? 'nccl-ep',
+    backend: o.backend ?? 'deepep-v2',
     ep: o.ep ?? 8,
-    eplb: o.eplb ?? false,
     experts: o.experts ?? 256,
     gpus_per_node: o.gpusPerNode ?? 8,
     hidden: o.hidden ?? 7168,
@@ -181,12 +177,16 @@ function makeRawCase(o: ShardOverrides, caseId: string): Json {
     scale_up_transport: o.scaleUpTransport ?? 'nvlink',
     scale_out_transport: o.scaleOutTransport ?? null,
   };
+  // `eplb` was retired from the neutral case; emit it only for the legacy-passthrough path
+  // or when a test sets it explicitly, to prove the reader still tolerates it.
+  if (o.legacyIdentity || o.eplb !== undefined) kase.eplb = o.eplb ?? false;
+  return kase;
 }
 
 export function caseIdOf(o: ShardOverrides = {}): string {
   if (o.caseId) return o.caseId;
   const sku = o.sku ?? 'h200-dgxc';
-  const backend = o.backend ?? 'nccl-ep';
+  const backend = o.backend ?? 'deepep-v2';
   const workload = o.workload ?? 'deepseek-v3';
   const mode = o.mode ?? 'normal';
   const phase = o.phase ?? 'decode';
@@ -199,37 +199,21 @@ export function caseIdOf(o: ShardOverrides = {}): string {
 export function makeRawShard(o: ShardOverrides = {}): Json {
   const caseId = caseIdOf(o);
   const sku = o.sku ?? 'h200-dgxc';
-  const backend = o.backend ?? 'nccl-ep';
+  const backend = o.backend ?? 'deepep-v2';
   const runId = o.runId ?? '160';
   const runAttempt = o.runAttempt ?? '1';
-  const attemptId = `${caseId}-a0${o.attemptOrdinal ?? 1}`;
   const rowSpecs = o.rows ?? [{}, {}];
 
   const identity: Json = {
     case_id: caseId,
-    attempt_id: attemptId,
     attempt_ordinal: o.attemptOrdinal ?? 1,
     case_factors: {
       sku,
-      case: makeRawCase(o, caseId),
-      profile: {
-        dtype: o.dtype ?? 'bf16',
-        combine_dtype: o.combineDtype ?? 'bf16',
-        combine_quant_mode: o.combineQuantMode,
-        combine_semantics: o.combineSemantics ?? 'weighted-sum',
-        payload_unit: o.payloadUnit ?? 'tokens',
-        activation_profile: o.activationProfile ?? 'balanced',
-        eplb_planner: o.eplbPlanner ?? null,
-        eplb_redundant_experts: o.eplbRedundant ?? 0,
-        resource_mode: o.resourceMode ?? 'fixed-profile',
-      },
+      case: makeRawCase({ ...o, backend }, caseId),
     },
     allocation_factors: {
       run_id: runId,
       run_attempt: runAttempt,
-      runner: 'gha-runner',
-      artifact: `cxshard-${caseId}`,
-      execution_id: `exec-${runId}`,
       source_sha: o.sourceSha ?? SOURCE_SHA,
     },
   };
@@ -247,17 +231,10 @@ export function makeRawShard(o: ShardOverrides = {}): Json {
   }
 
   return {
-    format: 'collectivex.ep.v1',
     record_type: 'case-attempt',
     generated_at: '2026-07-08T12:18:11Z',
     identity,
-    provenance: {
-      image: {
-        digest: o.imageDigest ?? IMAGE_DIGEST,
-        squash_sha256: o.squashSha256 ?? SQUASH_SHA256,
-      },
-      git_run: { source_sha: o.sourceSha ?? SOURCE_SHA },
-    },
+    provenance: { image: o.imageDigest ?? IMAGE_DIGEST, source_sha: o.sourceSha ?? SOURCE_SHA },
     topology: {
       device_product: o.deviceProduct,
       gpus_per_node: o.gpusPerNode ?? 8,
@@ -285,63 +262,50 @@ export function makeRawShard(o: ShardOverrides = {}): Json {
         resource_class: o.resourceClass ?? 'fixed-profile',
       },
     },
-    runtime_fingerprint: { vendor: o.vendor ?? 'nvidia' },
+    runtime: { vendor: o.vendor ?? 'nvidia' },
+    // The neutral backend emits `workload: { cross_rank_consistent }` with no
+    // activation_profile; only legacy shards (or an explicit override) carry it. Default to the
+    // real shape so the ingest path is exercised as the backend actually emits it.
+    workload:
+      o.activationProfile !== undefined || o.legacyIdentity
+        ? { cross_rank_consistent: true, activation_profile: o.activationProfile ?? 'balanced' }
+        : { cross_rank_consistent: true },
     measurement: {
-      contract: 'layout-and-dispatch-v1',
+      dispatch_dtype: o.dtype ?? 'bf16',
+      combine_dtype: o.combineDtype ?? 'bf16',
+      combine_semantics: o.combineSemantics ?? 'weighted-sum',
+      payload_unit: o.payloadUnit ?? 'tokens',
       sampling: {
         iterations_per_trial: 64,
         trials: 8,
         warmup_iterations: 16,
         samples_per_component: 512,
       },
-      rows: rowSpecs.map((row, index) => makeRawRow(caseId, index, row)),
+      rows: rowSpecs.map((row, index) => makeRawRow(index, row)),
     },
-    outcome: { status: o.status ?? 'success' },
-  };
-}
-
-export interface TerminalOverrides {
-  caseId?: string;
-  sku?: string;
-  status?: string;
-  failureMode?: string;
-  reason?: string | null;
-  returnCode?: number;
-  runId?: string;
-  runAttempt?: string;
-  // Emit full-format attempt identity so a terminal attempt row is produced.
-  withAttempt?: boolean;
-}
-
-export function makeRawTerminal(o: TerminalOverrides = {}): Json {
-  const caseId = o.caseId ?? 'b300-sxm-deepep-deepseek-v3-normal-decode-ep8-uniform';
-  const identity: Json = {
-    case_id: caseId,
-    allocation_factors: { run_id: o.runId ?? '160', run_attempt: o.runAttempt ?? '1' },
-  };
-  if (o.withAttempt) {
-    identity.allocation_id = `alloc-${o.runId ?? '160'}-${o.runAttempt ?? '1'}`;
-    identity.attempt_id = `${caseId}-a01`;
-    identity.attempt_ordinal = 1;
-  }
-  return {
-    format: 'collectivex.terminal.v1',
-    record_type: 'terminal-outcome',
-    generated_at: '2026-07-08T12:18:11Z',
-    identity,
     outcome: {
-      status: o.status ?? 'unsupported',
-      failure_mode: o.failureMode,
-      reason: o.reason ?? 'capability-gate',
-      return_code: o.returnCode ?? 42,
+      status: o.status ?? 'success',
+      // In-band failure reasons for a non-success (`invalid`/`failed`) case-attempt.
+      ...(o.reasons ? { reasons: o.reasons } : {}),
     },
   };
 }
 
+// A non-success case-attempt. The backend no longer emits a standalone terminal-outcome
+// document; a failed/invalid/unsupported case now carries its terminal outcome in-band on a
+// `record_type: 'case-attempt'` doc whose `outcome.status !== 'success'` and whose
+// `outcome.reasons` lists the failure reasons. Defaults to `invalid`. The raw schema still
+// requires >= 1 measurement row, so the row block is present, but the reader ignores it for a
+// non-success attempt. Overrides flow straight through to `makeRawShard`.
+export function makeInvalidCaseAttempt(o: ShardOverrides = {}): Json {
+  return makeRawShard({ status: 'invalid', reasons: ['capability-gate'], ...o });
+}
+
 interface RequestedCaseSpec {
   caseId: string;
   sku: string;
   disposition?: 'runnable' | 'unsupported';
+  reason?: string;
   case: Json;
 }
 
@@ -356,16 +320,18 @@ function requestedFromShard(shard: Json): RequestedCaseSpec {
   };
 }
 
+// The neutral matrix carries no `format`/`schema_version`; it is identified structurally by
+// its `requested_cases[]` + `include[]` arrays and its numeric `version` (collectivex-github.ts).
 export function makeRawMatrix(requested: RequestedCaseSpec[], version = 1): Json {
   return {
-    format: 'collectivex.matrix.v1',
-    schema_version: 1,
     version,
     include: [],
     requested_cases: requested.map((entry) => ({
       case: entry.case,
       sku: entry.sku,
       disposition: entry.disposition ?? 'runnable',
+      reason: entry.reason ?? null,
+      detail: entry.reason ? 'unsupported by the selected backend/platform' : null,
     })),
   };
 }
@@ -386,20 +352,20 @@ export function makeRunMeta(
 
 export interface BuildDatasetOptions {
   shards?: Json[];
-  terminals?: Json[];
   // Extra requested cases beyond those derived from the shards (e.g. a pending case).
   requestedCases?: RequestedCaseSpec[];
   meta?: Partial<CollectiveXNeutralRunMeta>;
 }
 
 // Assemble a view dataset through the real neutral → view builder. Requested matrix
-// cases default to one runnable case per shard so measured coverage is populated.
+// cases default to one runnable case per shard so measured coverage is populated. Every
+// shard is a `record_type: 'case-attempt'` doc — success shards and in-band non-success
+// (invalid/failed) attempts alike flow through the same channel.
 export function buildDataset(options: BuildDatasetOptions = {}): CollectiveXDataset {
   const shards = options.shards ?? [makeRawShard()];
-  const terminals = options.terminals ?? [];
   const requested = [...shards.map(requestedFromShard), ...(options.requestedCases ?? [])];
   const matrix = makeRawMatrix(requested);
-  return buildDatasetFromNeutral(matrix, [...shards, ...terminals], makeRunMeta(options.meta));
+  return buildDatasetFromNeutral(matrix, shards, makeRunMeta(options.meta));
 }
 
 // A single view series, assembled from one measured shard.
@@ -411,7 +377,7 @@ export function makeCollectiveXSeries(overrides: ShardOverrides = {}): Collectiv
 // one unsupported terminal case, and one pending case. Exercises series/coverage/attempt
 // assembly plus every terminal disposition the run summary counts.
 export function makeCollectiveXDataset(): CollectiveXDataset {
-  const shardA = makeRawShard({ backend: 'nccl-ep', ep: 8 });
+  const shardA = makeRawShard({ backend: 'deepep-v2', ep: 8 });
   const shardB = makeRawShard({
     sku: 'h200-dgxc',
     backend: 'deepep',
@@ -429,16 +395,11 @@ export function makeCollectiveXDataset(): CollectiveXDataset {
   });
 
   const unsupportedCaseId = 'b300-sxm-deepep-hybrid-deepseek-v3-normal-decode-ep8-uniform';
-  const unsupported = makeRawTerminal({
-    caseId: unsupportedCaseId,
-    sku: 'b300-sxm',
-    status: 'unsupported',
-    reason: 'capability-gate',
-  });
   const unsupportedCase: RequestedCaseSpec = {
     caseId: unsupportedCaseId,
     sku: 'b300-sxm',
     disposition: 'unsupported',
+    reason: 'capability-gate',
     case: makeRawCase(
       { backend: 'deepep-hybrid', sku: 'b300-sxm', nodes: 1, gpusPerNode: 8 },
       unsupportedCaseId,
@@ -458,7 +419,6 @@ export function makeCollectiveXDataset(): CollectiveXDataset {
 
   return buildDataset({
     shards: [shardA, shardB],
-    terminals: [unsupported],
     requestedCases: [unsupportedCase, pendingCase],
   });
 }
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
index 511b9ed54..d7073d526 100644
--- a/packages/app/src/components/collectivex/types.ts
+++ b/packages/app/src/components/collectivex/types.ts
@@ -1,10 +1,10 @@
 import { z } from 'zod';
 
 export type CollectiveXPhase = 'decode' | 'prefill';
-// The release version is a numeric, incrementable identity (1, 2, 3, ...), matching
-// the backend release marker's "version": N. It is NOT the frozen data-format literal
-// "v1" (cx*-v1-* ids, collectivex.*.v1 formats), which is the schema-version shared
-// across releases. The neutral MVP backend only emits schema_version 1.
+// The release version is a numeric, incrementable identity (1, 2, 3, ...), matching the
+// backend release marker's "version": N — the single version the neutral backend emits on the
+// matrix and every case-attempt document. (The retired per-artifact `format`/`schema_version`
+// signals are no longer emitted or required.)
 export const COLLECTIVEX_VERSIONS = [1] as const;
 export type CollectiveXVersion = (typeof COLLECTIVEX_VERSIONS)[number];
 export const COLLECTIVEX_DEFAULT_VERSION: CollectiveXVersion = Math.max(
@@ -99,7 +99,6 @@ const ratePercentilesSchema = z.strictObject({
   p99: z.number().finite().nonnegative(),
 });
 const byteAccountingSchema = z.strictObject({
-  accounting_contract: z.literal('activation-data-plus-scales-v1'),
   activation_data_bytes: nonnegativeInteger,
   scale_bytes: nonnegativeInteger,
   total_logical_bytes: nonnegativeInteger,
@@ -152,8 +151,6 @@ const routingSchema = z.strictObject({
 const pointCorrectnessSchema = z.strictObject({
   passed: z.boolean(),
   max_relative_error: z.number().finite().nonnegative(),
-  contract: safeId,
-  scope: safeId,
 });
 const pointSchema = z.strictObject({
   point_id: typedId('point'),
@@ -187,9 +184,9 @@ const seriesSchema = z.strictObject({
     version: label.nullable(),
   }),
   build: z.strictObject({
-    image_digest: z.string().regex(/^sha256:[a-f0-9]{64}$/),
+    image: z.string(),
     source_sha: sourceHash,
-    squash_sha256: hex64,
+    squash_sha256: z.string(),
   }),
   system: z.strictObject({
     sku: safeId,
@@ -214,7 +211,6 @@ const seriesSchema = z.strictObject({
     experts: positiveInteger,
     routing: routingKind,
     eplb: z.boolean(),
-    precision_profile: safeId,
     dispatch_precision: precisionAxisSchema,
     combine_precision: precisionAxisSchema,
     activation_profile: safeId,
@@ -234,12 +230,10 @@ const seriesSchema = z.strictObject({
   }),
   resource: z.strictObject({
     mode: safeId,
-    profile: safeId,
     comm_units_kind: label.nullable(),
     configured_units: positiveInteger.nullable(),
   }),
   measurement: z.strictObject({
-    contract: safeId,
     combine_semantics: safeId,
     payload_unit: safeId,
     iters: positiveInteger,
@@ -257,7 +251,6 @@ const coverageResourceSchema = z.strictObject({
   // All nullable: unsupported/pending cases carry no resource profile (that lives
   // only in a measured shard); measured coverage rows fill it from the shard.
   mode: safeId.nullable(),
-  profile: safeId.nullable(),
   comm_units_kind: label.nullable(),
   configured_units: positiveInteger.nullable(),
 });
@@ -323,7 +316,6 @@ const coverageSchema = z.strictObject({
   phase,
   routing: routingKind,
   eplb: z.boolean(),
-  precision_profile: safeId.nullable(),
   dispatch_precision: precisionAxisSchema.nullable(),
   combine_precision: precisionAxisSchema.nullable(),
   resource: coverageResourceSchema,
@@ -428,7 +420,8 @@ const rawCaseSchema = z.object({
   case_id: z.string().optional(),
   backend: z.string(),
   ep: positiveInteger,
-  eplb: z.boolean(),
+  // Retired with EPLB removal in the neutral backend; still accepted from legacy shards.
+  eplb: z.boolean().optional(),
   experts: positiveInteger,
   gpus_per_node: positiveInteger,
   hidden: positiveInteger,
@@ -447,20 +440,6 @@ const rawCaseSchema = z.object({
   scale_up_transport: z.string(),
   scale_out_transport: z.string().nullable(),
 });
-const rawProfileSchema = z.object({
-  dtype: z.string(),
-  combine_dtype: z.string(),
-  // Absent in the neutral MVP profile (fixed-BF16 path, quant not swept); the reader
-  // defaults it to 'none'. Present in legacy promotion-era profiles.
-  combine_quant_mode: z.string().optional(),
-  combine_semantics: z.string(),
-  payload_unit: z.string(),
-  activation_profile: z.string(),
-  eplb_planner: z.string().nullable().optional(),
-  eplb_redundant_experts: nonnegativeInteger.optional(),
-  eplb_reference_tokens_per_rank: positiveInteger.optional(),
-  resource_mode: z.string().optional(),
-});
 const rawTopologySchema = z.object({
   device_product: z.string().optional(),
   gpus_per_node: positiveInteger,
@@ -477,18 +456,25 @@ const rawTopologySchema = z.object({
 const rawImplementationSchema = z.object({
   name: z.string(),
   kernel_generation: z.string(),
-  provenance: z.object({
-    deepep_version: z.string().optional(),
-    deepep_commit: z.string().optional(),
-    backend_lineage: z.string().optional(),
-    mode: z.string().optional(),
-  }),
-  resource_profile: z.object({
-    comm_units_kind: z.string().nullable().optional(),
-    configured_units: positiveInteger.nullable().optional(),
-    conformance_class: z.string().optional(),
-    resource_class: z.string().optional(),
-  }),
+  // Both objects were dropped with backend-implementation-provenance/EPLB removal; the neutral
+  // backend emits `implementation = {name, kernel_generation}`. Kept optional so legacy shards
+  // that still carry them pass through (the reader reads them defensively).
+  provenance: z
+    .object({
+      deepep_version: z.string().optional(),
+      deepep_commit: z.string().optional(),
+      backend_lineage: z.string().optional(),
+      mode: z.string().optional(),
+    })
+    .optional(),
+  resource_profile: z
+    .object({
+      comm_units_kind: z.string().nullable().optional(),
+      configured_units: positiveInteger.nullable().optional(),
+      conformance_class: z.string().optional(),
+      resource_class: z.string().optional(),
+    })
+    .optional(),
 });
 const rawComponentSchema = z.object({
   origin: z.string().nullable().optional(),
@@ -503,7 +489,7 @@ const rawByteAccountingSchema = z.object({
   total_logical_bytes: nonnegativeInteger,
 });
 const rawRowSchema = z.object({
-  point_id: z.string(),
+  point_id: z.string().optional(),
   // Legacy shards carry a content-hash evidence id; neutral shards identify a row's
   // evidence by its sample digest instead, so the reader synthesizes one from point_id.
   evidence_id: z.string().optional(),
@@ -516,8 +502,6 @@ const rawRowSchema = z.object({
   correctness: z.object({
     passed: z.boolean(),
     max_relative_error: z.number(),
-    contract: z.string(),
-    scope: z.string(),
   }),
   routing: z.object({
     fanout_mean: z.number(),
@@ -534,7 +518,8 @@ const rawRowSchema = z.object({
   byte_provenance: z.record(z.string(), rawByteAccountingSchema),
 });
 export const collectiveXRawCaseAttemptSchema = z.object({
-  format: z.literal('collectivex.ep.v1'),
+  // `record_type` is the neutral discriminator; the retired `format` string is no longer
+  // emitted or required.
   record_type: z.literal('case-attempt'),
   generated_at: z.string(),
   identity: z.object({
@@ -544,7 +529,6 @@ export const collectiveXRawCaseAttemptSchema = z.object({
     series_id: z.string().optional(),
     case_id: z.string(),
     allocation_id: z.string().optional(),
-    attempt_id: z.string(),
     attempt_ordinal: positiveInteger,
     series_factors: z
       .object({
@@ -558,36 +542,31 @@ export const collectiveXRawCaseAttemptSchema = z.object({
     case_factors: z.object({
       sku: z.string(),
       case: rawCaseSchema,
-      profile: rawProfileSchema,
     }),
     allocation_factors: z.object({
       run_id: z.string(),
       run_attempt: z.string(),
-      runner: z.string().optional(),
-      artifact: z.string().optional(),
-      // Neutral fallback source for a synthesized allocation id / build source_sha.
-      execution_id: z.string().optional(),
       source_sha: z.string().optional(),
     }),
   }),
-  // Neutral shards carry image/source provenance the reader folds into series build
-  // factors (legacy shards carried these inside identity.series_factors instead).
-  provenance: z
-    .object({
-      image: z
-        .object({
-          digest: z.string().optional(),
-          squash_sha256: z.string().optional(),
-        })
-        .optional(),
-      git_run: z.object({ source_sha: z.string().optional() }).optional(),
-    })
-    .optional(),
+  provenance: z.object({ image: z.string().nullable(), source_sha: z.string().nullable() }),
   topology: rawTopologySchema,
   implementation: rawImplementationSchema,
-  runtime_fingerprint: z.object({ vendor: z.string() }),
+  runtime: z.object({ vendor: z.string() }).passthrough(),
+  // The neutral backend emits `workload: { cross_rank_consistent }`; the promotion-era
+  // `activation_profile` string is no longer produced (only legacy shards carry it), so it is
+  // optional here and defaulted in the reader.
+  workload: z
+    .object({
+      cross_rank_consistent: z.boolean().optional(),
+      activation_profile: z.string().optional(),
+    })
+    .passthrough(),
   measurement: z.object({
-    contract: z.string(),
+    dispatch_dtype: z.string(),
+    combine_dtype: z.string(),
+    combine_semantics: z.string(),
+    payload_unit: z.string(),
     sampling: z.object({
       iterations_per_trial: positiveInteger,
       trials: positiveInteger,
@@ -596,35 +575,11 @@ export const collectiveXRawCaseAttemptSchema = z.object({
     }),
     rows: z.array(rawRowSchema).min(1),
   }),
-  outcome: z.object({ status: z.string() }),
-});
-export const collectiveXRawTerminalSchema = z.object({
-  format: z.literal('collectivex.terminal.v1'),
-  record_type: z.literal('terminal-outcome'),
-  generated_at: z.string(),
-  identity: z.object({
-    case_id: z.string().optional(),
-    allocation_id: z.string().optional(),
-    attempt_id: z.string().optional(),
-    attempt_ordinal: positiveInteger.optional(),
-    case_factors: z
-      .object({
-        sku: z.string(),
-        case: rawCaseSchema.optional(),
-      })
-      .optional(),
-    allocation_factors: z
-      .object({
-        run_id: z.string().optional(),
-        run_attempt: z.string().optional(),
-      })
-      .optional(),
-  }),
+  // `outcome.reasons` carries the in-band failure reasons for a non-success (`invalid`)
+  // case-attempt, now that separate terminal-outcome documents are no longer emitted.
   outcome: z.object({
     status: z.string(),
-    failure_mode: z.string().optional(),
-    reason: z.string().nullable().optional(),
-    return_code: z.number().int().optional(),
+    reasons: z.array(z.string()).optional(),
   }),
 });
 const rawMatrixIncludeSchema = z.object({
@@ -651,9 +606,10 @@ const rawRequestedCaseSchema = z.object({
   reason: z.string().nullable().optional(),
   detail: z.string().nullable().optional(),
 });
+// The neutral matrix carries no `format`/`record_type`; it is identified structurally by its
+// `requested_cases`/`include` arrays and its numeric `version` (see collectivex-github.ts).
 export const collectiveXRawMatrixSchema = z.object({
-  format: z.literal('collectivex.matrix.v1'),
-  schema_version: nonnegativeInteger.optional(),
+  version: positiveInteger.optional(),
   include: z.array(rawMatrixIncludeSchema),
   requested_cases: z.array(rawRequestedCaseSchema),
 });
@@ -663,29 +619,21 @@ export const collectiveXRawMatrixSchema = z.object({
 // ---------------------------------------------------------------------------
 export type CollectiveXRunSummary = z.infer<typeof collectiveXRunSummarySchema>;
 export type CollectiveXRuns = z.infer<typeof collectiveXRunsSchema>;
-export type CollectiveXRun = z.infer<typeof collectiveXRunSchema>;
 export type CollectiveXDataset = z.infer<typeof collectiveXDatasetSchema>;
 export type CollectiveXComponent = z.infer<typeof componentSchema>;
 export type CollectiveXPrecisionAxis = z.infer<typeof precisionAxisSchema>;
 // Retained export name (shape slimmed to {communication_format, quant_mode, semantics}).
 export type CollectiveXCommunicationAxis = CollectiveXPrecisionAxis;
-export type CollectiveXPrecisionProfile = string;
-export type CollectiveXRouting = z.infer<typeof routingSchema>;
 export type CollectiveXPoint = z.infer<typeof pointSchema>;
-export type CollectiveXPointCorrectness = z.infer<typeof pointCorrectnessSchema>;
 export type CollectiveXSeries = z.infer<typeof seriesSchema>;
 export type CollectiveXCoverage = z.infer<typeof coverageSchema>;
-export type CollectiveXCoverageTopology = z.infer<typeof coverageTopologySchema>;
 export type CollectiveXCoveragePoint = z.infer<typeof coveragePointSchema>;
 export type CollectiveXTerminalStatus = z.infer<typeof terminalStatus>;
 export type CollectiveXAttempt = z.infer<typeof attemptSchema>;
 export type CollectiveXOutcome = z.infer<typeof outcome>;
 
-export type CollectiveXRawMatrix = z.infer<typeof collectiveXRawMatrixSchema>;
 export type CollectiveXRawCaseAttempt = z.infer<typeof collectiveXRawCaseAttemptSchema>;
-export type CollectiveXRawTerminal = z.infer<typeof collectiveXRawTerminalSchema>;
 export type CollectiveXRawCase = z.infer<typeof rawCaseSchema>;
-export type CollectiveXRawProfile = z.infer<typeof rawProfileSchema>;
 export type CollectiveXRawRow = z.infer<typeof rawRowSchema>;
 
 export interface CollectiveXResolvedDataset {
diff --git a/packages/app/src/lib/collectivex-github.test.ts b/packages/app/src/lib/collectivex-github.test.ts
index 669b4c428..2c07ae160 100644
--- a/packages/app/src/lib/collectivex-github.test.ts
+++ b/packages/app/src/lib/collectivex-github.test.ts
@@ -14,7 +14,7 @@ const mockFetch = vi.fn();
 vi.stubGlobal('fetch', mockFetch);
 
 // The two measured shards a canonical sweep run uploads (scale-up EP8 + scale-out EP16).
-const shardA = makeRawShard({ backend: 'nccl-ep', ep: 8 });
+const shardA = makeRawShard({ backend: 'deepep-v2', ep: 8 });
 const shardB = makeRawShard({
   backend: 'deepep',
   implName: 'deepep',
@@ -57,8 +57,8 @@ function zipDocs(...docs: unknown[]): ArrayBuffer {
 const matrixZip = zipDocs(matrix);
 const shardZip = zipDocs(shardA, shardB);
 
-// A second-generation matrix (numeric version 2) that shares the format tag but
-// declares a different content version. Requesting version 1 must skip it.
+// A second-generation matrix (numeric version 2): the same structural shape but a
+// different content `version`. Requesting version 1 must skip it.
 const matrixV2 = makeRawMatrix([requestedOf(shardA), requestedOf(shardB)], 2);
 const matrixZipV2 = zipDocs(matrixV2);
 
diff --git a/packages/app/src/lib/collectivex-github.ts b/packages/app/src/lib/collectivex-github.ts
index 20c317157..70113cfc0 100644
--- a/packages/app/src/lib/collectivex-github.ts
+++ b/packages/app/src/lib/collectivex-github.ts
@@ -20,7 +20,10 @@ const WORKFLOW_NAME = 'CollectiveX Sweep';
 const RUNS_PER_PAGE = 100;
 const ARTIFACTS_PER_PAGE = 100;
 
-// The three neutral artifact families a sweep run uploads (via always()).
+// Neutral artifact families a sweep run uploads (via always()). A current run ships the
+// matrix + per-case shards; the `cxunsupported-` terminal family was retired (non-success
+// outcomes now ride in-band on a `case-attempt` shard) but is still matched so older runs
+// with that artifact family remain readable.
 const MATRIX_PREFIX = 'cxsweep-matrix-';
 const SHARD_PREFIX = 'cxshard-';
 const TERMINAL_PREFIX = 'cxunsupported-';
@@ -290,8 +293,18 @@ function matrixVersion(doc: unknown): number | null {
 }
 
 // Download + structurally validate a run's matrix artifact and read its neutral
-// `version` tag. The format string (collectivex.matrix.v1) gates schema shape;
-// the numeric `version` field is the content axis the frontend selects on.
+// `version` tag. The matrix doc no longer carries a `format`/`record_type` tag, so it
+// is identified structurally by its requested_cases[] + include[] arrays and a valid
+// numeric `version`; that `version` field is the content axis the frontend selects on.
+function isMatrixDoc(doc: unknown): boolean {
+  const candidate = doc as { requested_cases?: unknown; include?: unknown } | null;
+  return (
+    Array.isArray(candidate?.requested_cases) &&
+    Array.isArray(candidate?.include) &&
+    matrixVersion(doc) !== null
+  );
+}
+
 async function loadMatrixCandidate(
   artifacts: GithubArtifact[],
   token: string,
@@ -302,9 +315,7 @@ async function loadMatrixCandidate(
   }
   const matrixDocs: unknown[] = [];
   for (const artifact of matrixArtifacts) matrixDocs.push(...(await collectDocs(artifact, token)));
-  const matrixCandidates = matrixDocs.filter(
-    (doc) => (doc as { format?: unknown } | null)?.format === 'collectivex.matrix.v1',
-  );
+  const matrixCandidates = matrixDocs.filter((doc) => isMatrixDoc(doc));
   if (matrixCandidates.length !== 1) {
     throw new CollectiveXSweepError('invalid', 'sweep run must carry exactly one matrix document');
   }

From e86ffa2213fcb85312a4d4e45f9ad81e0387cd8c Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Sun, 12 Jul 2026 13:56:54 +0800
Subject: [PATCH 15/37] refactor(collectivex): simplify live artifact frontend

Align the frontend with the current neutral artifact contract, remove retired diagnostics and selector systems, and keep partial sweeps and reruns visible.\n\nFix run-list cache expiry so rerun attempts refresh after the configured TTL.
---
 package.json                                  |   4 +-
 packages/app/cypress/e2e/collectivex.cy.ts    | 115 +--
 .../collectivex-data/[...path]/route.test.ts  |  21 +-
 .../app/collectivex-data/[...path]/route.ts   |  24 +-
 .../collectivex/CollectiveXChart.tsx          |  72 +-
 .../collectivex/CollectiveXDisplay.tsx        | 568 ++---------
 .../collectivex/CollectiveXInventory.tsx      | 635 ++----------
 .../collectivex/CollectiveXTables.tsx         | 196 +---
 .../src/components/collectivex/axis.test.ts   |  22 -
 .../app/src/components/collectivex/axis.ts    |  51 -
 .../src/components/collectivex/data.test.ts   |  61 +-
 .../app/src/components/collectivex/data.ts    | 132 +--
 .../collectivex/full-catalog.v1.json          |   1 -
 .../src/components/collectivex/reader.test.ts | 424 ++-------
 .../app/src/components/collectivex/reader.ts  | 901 +++++-------------
 .../components/collectivex/test-fixture.ts    | 373 ++------
 .../app/src/components/collectivex/types.ts   | 723 ++------------
 packages/app/src/hooks/api/use-collectivex.ts |   3 +-
 packages/app/src/lib/api.test.ts              |  23 +-
 packages/app/src/lib/api.ts                   |  26 +-
 .../app/src/lib/collectivex-github.test.ts    | 110 ++-
 packages/app/src/lib/collectivex-github.ts    |  63 +-
 22 files changed, 881 insertions(+), 3667 deletions(-)
 delete mode 100644 packages/app/src/components/collectivex/axis.test.ts
 delete mode 100644 packages/app/src/components/collectivex/axis.ts
 delete mode 100644 packages/app/src/components/collectivex/full-catalog.v1.json

diff --git a/package.json b/package.json
index 074f8b0db..90cb8bb36 100644
--- a/package.json
+++ b/package.json
@@ -19,8 +19,8 @@
     "security": "pnpm audit && audit-ci",
     "lint": "oxlint --no-error-on-unmatched-pattern",
     "lint:fix": "oxlint --fix --no-error-on-unmatched-pattern",
-    "fmt": "oxfmt --check --no-error-on-unmatched-pattern '!**/full-catalog.v1.json'",
-    "fmt:fix": "oxfmt --write --no-error-on-unmatched-pattern '!**/full-catalog.v1.json'",
+    "fmt": "oxfmt --check --no-error-on-unmatched-pattern",
+    "fmt:fix": "oxfmt --write --no-error-on-unmatched-pattern",
     "test": "pnpm --filter *app --color=always test",
     "test:e2e": "pnpm --filter *app --color=always test:e2e",
     "test:e2e:component": "pnpm --filter *app --color=always test:e2e:component",
diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index 0a879a113..3c0deea44 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -1,5 +1,9 @@
 import { buildRunSummary } from '@/components/collectivex/reader';
-import { makeCollectiveXDataset } from '@/components/collectivex/test-fixture';
+import {
+  buildDataset,
+  makeCollectiveXDataset,
+  makeRawShard,
+} from '@/components/collectivex/test-fixture';
 import type { CollectiveXDataset } from '@/components/collectivex/types';
 
 // The neutral view: one run's measured series plus its full case coverage. The route
@@ -15,7 +19,7 @@ function installLatest(body: CollectiveXDataset | Record<string, unknown> = data
 
 function installRuns() {
   cy.intercept('GET', '/collectivex-data/1/runs.json', {
-    body: { format: 'collectivex.runs.v1', version: 1, runs: [buildRunSummary(dataset)] },
+    body: { version: 1, runs: [buildRunSummary(dataset)] },
   }).as('runs');
 }
 
@@ -60,30 +64,38 @@ describe('CollectiveX neutral run view', () => {
   it('renders the default decode round-trip chart for the EP8 scale-up series', () => {
     cy.get('[data-testid="collectivex-main-chart"]')
       .should('contain.text', 'Round trip (measured) · decode · p99')
-      .and('contain.text', 'nccl-ep');
+      .and('contain.text', 'deepep-v2');
     cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
   });
 
-  it('selects the EP16 scale-out series through the identity controls', () => {
+  it('only exposes dimensions that vary in the current matrix', () => {
+    cy.get('[data-testid="collectivex-ep-select"]').should('be.visible');
+    cy.get('[data-testid="collectivex-phase-toggle"]').should('be.visible');
+    cy.get('[data-testid="collectivex-sku-select"]').should('be.visible');
+    cy.get('[data-testid="collectivex-backend-select"]').should('be.visible');
+    cy.get('[data-testid="collectivex-mode-toggle"]').should('not.exist');
+    cy.get('[data-testid="collectivex-fabric-scope-toggle"]').should('not.exist');
+    cy.get('[data-testid="collectivex-routing-select"]').should('not.exist');
+  });
+
+  it('selects the EP16 series through the identity controls', () => {
     cy.get('[data-testid="collectivex-ep-select"]').click();
     cy.contains('[role="option"]', 'EP16').click();
-    cy.get('[data-testid="collectivex-fabric-scope-toggle"]')
-      .contains('button', 'Scale-out')
-      .click();
 
     cy.get('[data-testid="collectivex-main-chart"]')
-      .should('contain.text', 'deepep')
+      .should('contain.text', 'mori')
       .and('contain.text', 'EP16');
     cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
   });
 
-  it('shows the empty state when no series matches the identity selection', () => {
-    // The only EP8 series is scale-up, so a scale-out filter at EP8 matches nothing.
-    cy.get('[data-testid="collectivex-fabric-scope-toggle"]')
-      .contains('button', 'Scale-out')
-      .click();
-    cy.get('[data-testid="collectivex-empty-state"]').should('be.visible');
-    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('not.exist');
+  it('selects the available phase when a partial run only measured prefill', () => {
+    const prefill = buildDataset({ shards: [makeRawShard({ phase: 'prefill' })] });
+    installLatest(prefill);
+    cy.reload();
+    cy.wait('@latest');
+    cy.get('[data-testid="collectivex-phase-toggle"]').should('contain.text', 'Prefill');
+    cy.get('[data-testid="collectivex-main-chart"]').should('contain.text', 'prefill');
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
   });
 
   it('clears the chart when the sole series is toggled off in the legend', () => {
@@ -100,21 +112,10 @@ describe('CollectiveX neutral run view', () => {
       .should('contain.text', 'Click elsewhere to dismiss')
       .and('contain.text', 'Round trip (measured) p99:')
       .and('contain.text', 'Latency p50 / p90 / p95 / p99')
-      .and('contain.text', 'Full diagnostics')
-      // Deep diagnostics moved to the "Selected matrix case" tab.
       .and('not.contain.text', 'Expert CV')
       .and('not.contain.text', 'evidence=');
   });
 
-  it('notes that isolated sum is derived and never drives throughput', () => {
-    cy.get('[data-testid="collectivex-operation-select"]').click();
-    cy.contains('[role="option"]', 'Isolated sum').click();
-    cy.get('[data-testid="collectivex-main-chart"]').should(
-      'contain.text',
-      'Isolated sum is derived',
-    );
-  });
-
   it('lists runs on demand and pins a specific run by id', () => {
     installRuns();
     installRun();
@@ -126,67 +127,19 @@ describe('CollectiveX neutral run view', () => {
     cy.get('[data-testid="collectivex-run-conclusion"]').should('contain.text', `#${runId}`);
   });
 
-  it('keeps the chart on top and presents the matrix inventory in the default tab', () => {
-    // The chart is not inside a tab: it stays visible alongside every tab.
+  it('keeps the chart on top and presents the matrix inventory', () => {
     cy.get('[data-testid="collectivex-main-chart"]').should('be.visible');
     cy.get('[data-testid="collectivex-inventory"]')
       .should('contain.text', 'Matrix case inventory')
-      .and('contain.text', `${dataset.coverage.length} of ${dataset.coverage.length} cases`);
+      .and('contain.text', `${dataset.coverage.length} cases`);
     cy.get('[data-testid="collectivex-inventory-table"]')
       .should('contain.text', 'H200-DGXC')
-      .and('contain.text', 'B300-SXM');
-    cy.contains('[role="tab"]', 'Selected matrix case').click();
-    cy.get('[data-testid="collectivex-inventory"]').should('not.exist');
-    cy.get('[data-testid="collectivex-main-chart"]').should('be.visible');
-  });
-
-  it('jumps to the selected matrix case tab when a case is inspected', () => {
-    cy.get('[data-testid="collectivex-inventory-table"] button[aria-label^="Inspect"]')
-      .last()
-      .click();
-    cy.location('hash').should('eq', '#tab-case');
-    cy.get('[data-testid="collectivex-case-detail"]').should(
-      'contain.text',
-      'Selected matrix case',
-    );
-  });
-
-  it('exposes terminal coverage, retained attempts, and run provenance in Evidence', () => {
-    cy.contains('[role="tab"]', 'Evidence').click();
-    cy.get('[data-testid="collectivex-coverage-table"]')
-      .should('contain.text', 'nccl-ep')
-      .and('contain.text', 'deepep')
-      .and('contain.text', 'unsupported');
-    cy.get('[data-testid="collectivex-attempts-table"]').should('be.visible');
-    cy.get('[data-testid="collectivex-provenance"]')
-      .should('contain.text', `#${runId}`)
-      .and('contain.text', 'Source bundles');
-  });
-
-  it('restores the active tab with browser history', () => {
-    cy.contains('[role="tab"]', 'Evidence').click();
-    cy.location('hash').should('eq', '#tab-evidence');
-    cy.contains('[role="tab"]', 'Matrix case inventory').click();
-    cy.location('hash').should('eq', '#tab-inventory');
-    cy.go('back');
-    cy.location('hash').should('eq', '#tab-evidence');
-    cy.get('[data-testid="collectivex-provenance"]').should('be.visible');
-  });
-
-  it('disables source navigation when measured series span different revisions', () => {
-    const mixed = makeCollectiveXDataset();
-    mixed.series[1].build.source_sha = 'd'.repeat(40);
-    installLatest(mixed);
-    cy.reload();
-    cy.wait('@latest');
-    cy.get('[data-testid="collectivex-source-link"]')
-      .should('have.attr', 'aria-disabled', 'true')
-      .and('not.have.attr', 'href');
+      .and('contain.text', 'B300');
   });
 });
 
 describe('CollectiveX availability states', () => {
-  it('reports a missing run listing as no published run', () => {
+  it('reports a missing run', () => {
     cy.intercept('GET', '/collectivex-data/1/latest.json', {
       statusCode: 404,
       headers: { 'X-CollectiveX-Status': 'runs-unavailable' },
@@ -195,11 +148,11 @@ describe('CollectiveX availability states', () => {
     cy.wait('@missing');
     cy.get('[data-testid="collectivex-error"]')
       .should('be.visible')
-      .and('contain.text', 'No CollectiveX run has been published yet.');
+      .and('contain.text', 'CollectiveX request failed (404).');
     cy.get('[data-testid="collectivex-error-version-select"]').should('contain.text', 'V1');
   });
 
-  it('reports an unavailable GitHub source as a temporary outage', () => {
+  it('reports an unavailable GitHub source', () => {
     cy.intercept('GET', '/collectivex-data/1/latest.json', {
       statusCode: 503,
       headers: { 'X-CollectiveX-Status': 'source-unavailable' },
@@ -208,7 +161,7 @@ describe('CollectiveX availability states', () => {
     cy.wait('@down');
     cy.get('[data-testid="collectivex-error"]')
       .should('be.visible')
-      .and('contain.text', 'The GitHub Actions run source is temporarily unavailable.');
+      .and('contain.text', 'CollectiveX request failed (503).');
   });
 
   it('renders the loading state while the run resolves', () => {
diff --git a/packages/app/src/app/collectivex-data/[...path]/route.test.ts b/packages/app/src/app/collectivex-data/[...path]/route.test.ts
index 2471be2d1..872f10213 100644
--- a/packages/app/src/app/collectivex-data/[...path]/route.test.ts
+++ b/packages/app/src/app/collectivex-data/[...path]/route.test.ts
@@ -1,6 +1,6 @@
 import { beforeEach, describe, expect, it, vi } from 'vitest';
 
-import { buildRunSummary, parseCollectiveXDataset } from '@/components/collectivex/reader';
+import { buildRunSummary } from '@/components/collectivex/reader';
 import { makeCollectiveXDataset } from '@/components/collectivex/test-fixture';
 
 const github = vi.hoisted(() => ({
@@ -39,7 +39,7 @@ beforeEach(() => {
 describe('CollectiveX sweep data route', () => {
   it('serves the latest run dataset without a run id', async () => {
     const response = await request('1', 'latest.json');
-    const served = parseCollectiveXDataset(await response.json());
+    const served = await response.json();
 
     expect(response.status).toBe(200);
     expect(response.headers.get('cache-control')).toContain('s-maxage=60');
@@ -48,12 +48,12 @@ describe('CollectiveX sweep data route', () => {
     expect(github.load).toHaveBeenCalledWith(1, undefined);
   });
 
-  it('serves a specific run by id with an immutable cache window', async () => {
+  it('serves a specific run by id with a short rerun-safe cache window', async () => {
     const response = await request('1', 'runs', `${runId}.json`);
-    const served = parseCollectiveXDataset(await response.json());
+    const served = await response.json();
 
     expect(response.status).toBe(200);
-    expect(response.headers.get('cache-control')).toContain('max-age=600');
+    expect(response.headers.get('cache-control')).toContain('s-maxage=60');
     expect(served).toEqual(dataset);
     expect(github.load).toHaveBeenCalledWith(1, runId);
   });
@@ -61,14 +61,12 @@ describe('CollectiveX sweep data route', () => {
   it('lists recent runs as a neutral run summary document', async () => {
     const response = await request('1', 'runs.json');
     const body = (await response.json()) as {
-      format: string;
       version: number;
       runs: unknown[];
     };
 
     expect(response.status).toBe(200);
     expect(response.headers.get('cache-control')).toContain('s-maxage=60');
-    expect(body.format).toBe('collectivex.runs.v1');
     expect(body.version).toBe(1);
     expect(body.runs).toHaveLength(1);
     expect(github.list).toHaveBeenCalledWith(1);
@@ -76,16 +74,15 @@ describe('CollectiveX sweep data route', () => {
   });
 
   it.each([
-    ['not-found', 404, 'runs-unavailable'],
-    ['unavailable', 503, 'source-unavailable'],
-    ['invalid', 502, null],
-  ] as const)('maps %s source failures without exposing details', async (code, status, marker) => {
+    ['not-found', 404],
+    ['unavailable', 503],
+    ['invalid', 502],
+  ] as const)('maps %s source failures without exposing details', async (code, status) => {
     github.load.mockRejectedValue(Object.assign(new Error('private upstream detail'), { code }));
 
     const response = await request('1', 'latest.json');
 
     expect(response.status).toBe(status);
-    expect(response.headers.get('x-collectivex-status')).toBe(marker);
     expect(await response.text()).toBe('');
   });
 
diff --git a/packages/app/src/app/collectivex-data/[...path]/route.ts b/packages/app/src/app/collectivex-data/[...path]/route.ts
index baf746578..92125fb21 100644
--- a/packages/app/src/app/collectivex-data/[...path]/route.ts
+++ b/packages/app/src/app/collectivex-data/[...path]/route.ts
@@ -13,12 +13,8 @@ const RUNS = new RegExp(`^(?<version>${VERSION_PATTERN})/runs\\.json$`);
 const LATEST = new RegExp(`^(?<version>${VERSION_PATTERN})/latest\\.json$`);
 const RUN = new RegExp(`^(?<version>${VERSION_PATTERN})/runs/(?<runId>[1-9][0-9]*)\\.json$`);
 
-type AvailabilityStatus = 'runs-unavailable' | 'source-unavailable';
-
-function unavailable(status: number, availability?: AvailabilityStatus) {
-  const headers: Record<string, string> = { 'Cache-Control': 'no-store' };
-  if (availability) headers['X-CollectiveX-Status'] = availability;
-  return new Response(null, { status, headers });
+function unavailable(status: number) {
+  return new Response(null, { status, headers: { 'Cache-Control': 'no-store' } });
 }
 
 function json(body: BodyInit, cacheControl: string) {
@@ -49,28 +45,24 @@ export async function GET(_request: Request, context: { params: Promise<{ path:
     try {
       const listing = await listCollectiveXSweepRuns(version);
       return json(
-        `${JSON.stringify({ format: 'collectivex.runs.v1', version, runs: listing })}\n`,
+        `${JSON.stringify({ version, runs: listing })}\n`,
         'public, s-maxage=60, stale-while-revalidate=300',
       );
     } catch (error) {
       const code = collectiveXSweepErrorCode(error);
-      if (code === 'not-found') return unavailable(404, 'runs-unavailable');
-      if (code === 'unavailable') return unavailable(503, 'source-unavailable');
+      if (code === 'not-found') return unavailable(404);
+      if (code === 'unavailable') return unavailable(503);
       return unavailable(502);
     }
   }
 
   try {
     const dataset = await loadCollectiveXSweepRun(version, run?.groups?.runId);
-    // A specific run is content-stable; the latest pointer is short-lived.
-    const cacheControl = run
-      ? 'public, max-age=600, stale-while-revalidate=3600'
-      : 'public, s-maxage=60, stale-while-revalidate=300';
-    return json(`${JSON.stringify(dataset)}\n`, cacheControl);
+    return json(`${JSON.stringify(dataset)}\n`, 'public, s-maxage=60, stale-while-revalidate=300');
   } catch (error) {
     const code = collectiveXSweepErrorCode(error);
-    if (code === 'not-found') return unavailable(404, 'runs-unavailable');
-    if (code === 'unavailable') return unavailable(503, 'source-unavailable');
+    if (code === 'not-found') return unavailable(404);
+    if (code === 'unavailable') return unavailable(503);
     return unavailable(502);
   }
 }
diff --git a/packages/app/src/components/collectivex/CollectiveXChart.tsx b/packages/app/src/components/collectivex/CollectiveXChart.tsx
index d543c578a..623793383 100644
--- a/packages/app/src/components/collectivex/CollectiveXChart.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXChart.tsx
@@ -5,15 +5,12 @@ import { useMemo } from 'react';
 
 import { D3Chart } from '@/lib/d3-chart/D3Chart';
 
-import { sparseLogTicks } from './axis';
 import { chartPoints, collectiveXColorKey } from './data';
 import type {
   CollectiveXChartPoint,
   CollectiveXOperation,
   CollectiveXPercentile,
   CollectiveXSeries,
-  CollectiveXScale,
-  CollectiveXXAxis,
   CollectiveXYAxis,
 } from './types';
 
@@ -23,10 +20,7 @@ interface CollectiveXChartProps {
   colors: Record<string, string>;
   operation: CollectiveXOperation;
   percentile: CollectiveXPercentile;
-  xAxis: CollectiveXXAxis;
   yAxis: CollectiveXYAxis;
-  xScaleType: CollectiveXScale;
-  yScaleType: CollectiveXScale;
   caption?: React.ReactNode;
   legendElement?: React.ReactNode;
   testId?: string;
@@ -37,33 +31,19 @@ const OPERATION_LABELS: Record<CollectiveXOperation, string> = {
   stage: 'Stage',
   combine: 'Combine',
   roundtrip: 'Round trip (measured)',
-  'isolated-sum': 'Isolated sum (Σp, not measured)',
-};
-
-const X_AXIS_LABELS: Record<CollectiveXXAxis, string> = {
-  'tokens-per-rank': 'Source tokens / rank',
-  'global-tokens': 'Global source tokens',
 };
 
 const Y_AXIS_LABELS: Record<CollectiveXYAxis, string> = {
   latency: 'Latency (µs)',
   'tokens-per-second': 'Token rate at selected latency percentile (tokens/s)',
   'activation-rate': 'Activation-data rate at selected latency percentile (GB/s)',
-  'total-logical-rate': 'Total logical data rate at selected latency percentile (GB/s)',
 };
 
-function paddedDomain(values: number[], scaleType: CollectiveXScale): [number, number] {
-  if (values.length === 0) return scaleType === 'log' ? [1, 10] : [0, 1];
-  const min = d3.min(values) ?? 0;
+function paddedDomain(values: number[]): [number, number] {
+  if (values.length === 0) return [1, 10];
+  const min = d3.min(values) ?? 1;
   const max = d3.max(values) ?? 1;
-  if (min === max) {
-    if (scaleType === 'log') return [Math.max(min / 2, Number.MIN_VALUE), max * 2];
-    const padding = Math.max(Math.abs(min) * 0.1, 1);
-    return [min - padding, max + padding];
-  }
-  if (scaleType === 'log') return [min / 1.08, max * 1.08];
-  const padding = (max - min) * 0.06;
-  return [Math.max(0, min - padding), max + padding];
+  return min === max ? [min / 2, max * 2] : [min / 1.08, max * 1.08];
 }
 
 function formatCompact(value: number): string {
@@ -107,17 +87,14 @@ export function CollectiveXChart({
   colors,
   operation,
   percentile,
-  xAxis,
   yAxis,
-  xScaleType,
-  yScaleType,
   caption,
   legendElement,
   testId,
 }: CollectiveXChartProps) {
   const points = useMemo(
-    () => chartPoints(series, operation, percentile, xAxis, yAxis),
-    [series, operation, percentile, xAxis, yAxis],
+    () => chartPoints(series, operation, percentile, yAxis),
+    [series, operation, percentile, yAxis],
   );
   const seriesById = useMemo(() => new Map(series.map((item) => [item.series_id, item])), [series]);
   const lines = useMemo(() => {
@@ -131,22 +108,8 @@ export function CollectiveXChart({
     return result;
   }, [points]);
 
-  const xDomain = useMemo(
-    () =>
-      paddedDomain(
-        points.map((point) => point.x),
-        xScaleType,
-      ),
-    [points, xScaleType],
-  );
-  const yDomain = useMemo(
-    () =>
-      paddedDomain(
-        points.map((point) => point.y),
-        yScaleType,
-      ),
-    [points, yScaleType],
-  );
+  const xDomain = useMemo(() => paddedDomain(points.map((point) => point.x)), [points]);
+  const yDomain = useMemo(() => paddedDomain(points.map((point) => point.y)), [points]);
   const xTickValues = useMemo(
     () => [...new Set(points.map((point) => point.x))].toSorted((a, b) => a - b),
     [points],
@@ -173,14 +136,10 @@ export function CollectiveXChart({
       testId={testId}
       grabCursor
       instructions="Shift+Scroll to zoom · Drag to pan · Double-click to reset · Click a point to pin tooltip"
-      xScale={
-        xScaleType === 'log'
-          ? { type: 'log', domain: xDomain, nice: false }
-          : { type: 'linear', domain: xDomain, nice: true }
-      }
-      yScale={{ type: yScaleType, domain: yDomain, nice: yScaleType === 'linear' }}
+      xScale={{ type: 'log', domain: xDomain, nice: false }}
+      yScale={{ type: 'log', domain: yDomain, nice: false }}
       xAxis={{
-        label: `${X_AXIS_LABELS[xAxis]}${xScaleType === 'log' ? ' (log)' : ''}`,
+        label: 'Source tokens / rank (log)',
         tickCount: 8,
         tickValues: xTickValues,
         tickFormat: (value) => formatTokenCount(Number(value)),
@@ -188,10 +147,6 @@ export function CollectiveXChart({
       yAxis={{
         label: Y_AXIS_LABELS[yAxis],
         tickCount: 5,
-        tickValues:
-          yScaleType === 'log'
-            ? (scale) => sparseLogTicks(scale.domain().map(Number), 5)
-            : undefined,
         tickFormat: (value) => formatCompact(Number(value)),
       }}
       layers={[
@@ -235,9 +190,6 @@ export function CollectiveXChart({
       tooltip={{
         rulerType: 'crosshair',
         attachToLayer: 1,
-        // Compact by design: identity, the selected metric, and the component
-        // latency ladder. Full per-point diagnostics (routing stats, correctness,
-        // EPLB, provenance) live in the "Selected matrix case" tab.
         content: (point, isPinned) => {
           const color = colors[point.colorKey] ?? '#888';
           const measurement = point.point;
@@ -252,8 +204,6 @@ export function CollectiveXChart({
             <div class="text-muted-foreground">Stage: ${formatPercentiles(measurement.components.stage)}</div>
             <div class="text-muted-foreground">Combine: ${formatPercentiles(measurement.components.combine)}</div>
             <div class="text-muted-foreground">Round trip: ${formatPercentiles(measuredRoundtrip)}${measuredRoundtrip ? ' (measured)' : ''}</div>
-            ${measurement.anomalies.length > 0 ? `<div class="mt-1 text-muted-foreground">Anomalies: ${measurement.anomalies.map(escapeHtml).join(' · ')}</div>` : ''}
-            ${isPinned ? '<div class="mt-1 text-muted-foreground" style="font-size: 10px;">Full diagnostics: "Selected matrix case" tab</div>' : ''}
           </div>`;
         },
         getRulerX: (point, scale) =>
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index 2340eaefc..0e6e632bc 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -15,40 +15,31 @@ import {
   SelectTrigger,
   SelectValue,
 } from '@/components/ui/select';
-import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
 import { useCollectiveX, useCollectiveXRun, useCollectiveXRuns } from '@/hooks/api/use-collectivex';
 import { useThemeColors } from '@/hooks/useThemeColors';
 import { track } from '@/lib/analytics';
 import { useLocale } from '@/lib/use-locale';
 
 import { CollectiveXChart } from './CollectiveXChart';
-import { CollectiveXCaseDetail, CollectiveXInventory } from './CollectiveXInventory';
-import { CollectiveXAttemptTable, CollectiveXCoverageTable } from './CollectiveXTables';
+import { CollectiveXInventory } from './CollectiveXInventory';
 import {
   collectiveXColorKey,
   collectiveXSeriesLabel,
   collectiveXTopologyLabel,
-  comparisonDifferences,
   seriesMatchesSelection,
-  type CollectiveXFabricScope,
   type CollectiveXSeriesSelection,
 } from './data';
-import { collectiveXAvailabilityReason } from './reader';
 import {
   COLLECTIVEX_VERSIONS,
   COLLECTIVEX_DEFAULT_VERSION,
   collectiveXVersionLabel,
-  type CollectiveXMode,
   type CollectiveXOperation,
   type CollectiveXPercentile,
   type CollectiveXPhase,
-  type CollectiveXScale,
   type CollectiveXVersion,
-  type CollectiveXXAxis,
   type CollectiveXYAxis,
 } from './types';
 
-type CollectiveXTab = 'inventory' | 'case' | 'evidence';
 interface SelectOption<T extends string | number> {
   value: T;
   label: string;
@@ -60,80 +51,44 @@ const PERCENTILE_OPTIONS: SegmentedToggleOption<CollectiveXPercentile>[] = [
   { value: 'p95', label: 'p95' },
   { value: 'p99', label: 'p99' },
 ];
-const TAB_VALUES: CollectiveXTab[] = ['inventory', 'case', 'evidence'];
-// Neutral MVP: no promotion/cohort/eligibility layer. The view is the measured
-// series set for one run, filtered by the identity axes the neutral shard carries.
-// Strings that describe that retired decision layer are gone; the remaining zh
-// values are preserved verbatim, and keys added for the neutral view mirror their
-// en text until the repository's temporary language override is lifted.
 const STRINGS = {
   en: {
     operation: {
       dispatch: 'Dispatch',
       combine: 'Combine',
       roundtrip: 'Round trip',
-      'isolated-sum': 'Isolated sum',
     },
     operationHeading: {
       dispatch: 'Dispatch',
       combine: 'Combine',
       roundtrip: 'Round trip (measured)',
-      'isolated-sum': 'Isolated sum (derived)',
     },
     phase: { decode: 'Decode', prefill: 'Prefill' },
     phaseValue: { decode: 'decode', prefill: 'prefill' },
-    scale: { log: 'Log', linear: 'Linear' },
-    xAxis: {
-      'tokens-per-rank': 'Source tokens / rank',
-      'global-tokens': 'Global source tokens',
-    },
     yAxis: {
       latency: 'Latency',
       'tokens-per-second': 'Token rate at selected latency percentile',
     },
-    mode: { normal: 'Normal', 'low-latency': 'Low latency' },
-    fabricScope: { all: 'All', 'scale-up': 'Scale-up', 'scale-out': 'Scale-out' },
-    topologyScope: { 'scale-up': 'Scale-up', 'scale-out': 'Scale-out' },
-    payloadUnit: { 'token-rank': 'Token-rank payload', 'token-expert': 'Token-expert payload' },
-    combineSemantics: {
-      'activation-only': 'Activation-only combine',
-      'gate-weighted': 'Gate-weighted combine',
-    },
-    tabs: {
-      inventory: 'Matrix case inventory',
-      case: 'Selected matrix case',
-      evidence: 'Evidence',
-    },
-    noCases: 'This run has no matrix cases to inspect.',
     all: 'All',
     loading: 'Resolving CollectiveX run...',
     unavailable: 'CollectiveX run unavailable',
-    sourceUnavailable: 'The GitHub Actions run source is temporarily unavailable.',
-    runsErrorMessage: 'No CollectiveX run has been published yet.',
     loadError: 'The CollectiveX dataset failed to load.',
     retry: 'Retry',
     description:
       'Expert-parallel latency and payload rate across collective libraries and systems.',
     source: 'Source',
     methodology: 'Methodology',
-    sourceLinkUnavailable: 'Source unavailable because measured series span different revisions',
     refresh: 'Refresh',
     seriesCount: 'Series',
     measuredCases: 'Measured cases',
     terminalCases: 'Terminal cases',
-    retainedAttempts: 'Retained attempts',
-    allocations: 'Allocations',
     publishedUtc: 'Published (UTC)',
     version: 'Benchmark version',
     runControl: 'Run',
     loadRuns: 'Load runs',
     loadingRuns: 'Loading runs…',
-    latestPublished: 'Latest published',
-    modeControl: 'Mode',
-    modeAria: 'CollectiveX mode',
+    latestPublished: 'Latest run',
     epControl: 'EP degree',
-    fabricScopeControl: 'Fabric scope',
-    fabricScopeAria: 'CollectiveX fabric scope',
     operationControl: 'Operation',
     phaseControl: 'Phase',
     phaseAria: 'CollectiveX phase',
@@ -141,55 +96,12 @@ const STRINGS = {
     percentileAria: 'CollectiveX percentile',
     sku: 'SKU',
     backend: 'Backend',
-    routing: 'Routing',
-    xAxisControl: 'X axis',
-    xScale: 'X scale',
-    xScaleAria: 'CollectiveX x scale',
     yAxisControl: 'Y axis',
     tokenRateOption: 'Token rate at latency percentile',
-    yScale: 'Y scale',
-    yScaleAria: 'CollectiveX y scale',
     noSeries: 'No measured series match these filters.',
-    highContrast: 'High Contrast',
     resetFilter: 'Reset filter',
-    stableOrdering: 'stable ordering passed',
-    samplingContract: (trials: number, iterations: number, samples: number, warmups: number) =>
-      `${trials}×${iterations} = ${samples} samples/component · ${warmups} synchronized warmups`,
-    selectedFactorsDiffer: 'Selected factors differ',
-    differenceLabels: {
-      model: 'model',
-      suite: 'suite',
-      mode: 'mode',
-      phase: 'phase',
-      'backend implementation': 'backend implementation',
-      'implementation build': 'implementation build',
-      'system identity': 'system identity',
-      'fabric scope': 'fabric scope',
-      topology: 'topology',
-      transport: 'transport',
-      'world size': 'world size',
-      'EP degree': 'EP degree',
-      placement: 'placement',
-      workload: 'workload',
-      'model shape': 'model shape',
-      routing: 'routing',
-      'EPLB plan': 'EPLB plan',
-      dtypes: 'dtypes',
-      'resource profile': 'resource profile',
-      measurement: 'measurement',
-      'token ladder': 'token ladder',
-      'component availability': 'component availability',
-      correctness: 'correctness',
-    },
-    missingComponents: 'Unavailable components remain null and are omitted.',
-    isolatedNote: 'Isolated sum is derived and never drives throughput.',
     payloadNote:
       'Payload rate is derived at the selected latency percentile and is not physical link bandwidth.',
-    provenance: 'Run provenance',
-    runLabel: 'Run',
-    attemptLabel: 'Attempt',
-    matrixLabel: 'Matrix',
-    sourceBundles: 'Source bundles',
   },
   zh: {
     operation: {
@@ -223,8 +135,6 @@ const STRINGS = {
       'activation-only': '仅激活值合并',
       'gate-weighted': '门控加权合并',
     },
-    // English-only per the repository's temporary language override (no new
-    // Chinese text); keys added for the neutral view mirror the en values.
     tabs: {
       inventory: 'Matrix case inventory',
       case: 'Selected matrix case',
@@ -253,7 +163,7 @@ const STRINGS = {
     runControl: 'Run',
     loadRuns: 'Load runs',
     loadingRuns: 'Loading runs…',
-    latestPublished: 'Latest published',
+    latestPublished: 'Latest run',
     modeControl: '模式',
     modeAria: 'CollectiveX 模式',
     epControl: 'EP 并行度',
@@ -351,15 +261,6 @@ function selectOptions(
   }));
 }
 
-// A single source link is only meaningful when every measured series was built
-// from the same revision; a run that mixes revisions has no canonical source.
-function runSourceSha(series: { build: { source_sha: string } }[]): string | null {
-  const sourceSha = series[0]?.build.source_sha;
-  return sourceSha && series.every((item) => item.build.source_sha === sourceSha)
-    ? sourceSha
-    : null;
-}
-
 export default function CollectiveXDisplay() {
   const locale = useLocale();
   const t = STRINGS[locale];
@@ -372,53 +273,23 @@ export default function CollectiveXDisplay() {
   const latestQuery = useCollectiveX(version);
   const runsQuery = useCollectiveXRuns(version, runsRequested);
   const runQuery = useCollectiveXRun(version, selectedRunId);
-  // A pinned run overrides latest; both resolve to the same
-  // { dataset, run_id, run_attempt } shape the rest of the view consumes.
+  // A pinned run overrides the latest run.
   const activeQuery = selectedRunId === null ? latestQuery : runQuery;
   const { data, error, isLoading, isFetching } = activeQuery;
-  const [tab, setTab] = useState<CollectiveXTab>('inventory');
-  const [mode, setMode] = useState<CollectiveXMode>('normal');
   const [epSize, setEpSize] = useState(8);
-  const [fabricScope, setFabricScope] = useState<CollectiveXFabricScope>('all');
   const [operation, setOperation] = useState<CollectiveXOperation>('roundtrip');
   const [phase, setPhase] = useState<CollectiveXPhase>('decode');
   const [percentile, setPercentile] = useState<CollectiveXPercentile>('p99');
-  const [xAxis, setXAxis] = useState<CollectiveXXAxis>('tokens-per-rank');
   const [yAxis, setYAxis] = useState<CollectiveXYAxis>('latency');
-  const [xScale, setXScale] = useState<CollectiveXScale>('log');
-  const [yScale, setYScale] = useState<CollectiveXScale>('log');
   const [sku, setSku] = useState('all');
   const [backend, setBackend] = useState('all');
-  const [routing, setRouting] = useState('all');
   const [activeSeriesIds, setActiveSeriesIds] = useState<Set<string>>(new Set());
   const [legendExpanded, setLegendExpanded] = useState(true);
-  const [highContrast, setHighContrast] = useState(false);
   const operationOptions: SelectOption<CollectiveXOperation>[] = [
     { value: 'dispatch', label: t.operation.dispatch },
     { value: 'stage', label: 'Stage' },
     { value: 'combine', label: t.operation.combine },
     { value: 'roundtrip', label: t.operation.roundtrip },
-    { value: 'isolated-sum', label: t.operation['isolated-sum'] },
-  ];
-  const phaseOptions: SegmentedToggleOption<CollectiveXPhase>[] =
-    mode === 'low-latency'
-      ? [{ value: 'decode', label: t.phase.decode }]
-      : [
-          { value: 'decode', label: t.phase.decode },
-          { value: 'prefill', label: t.phase.prefill },
-        ];
-  const scaleOptions: SegmentedToggleOption<CollectiveXScale>[] = [
-    { value: 'log', label: t.scale.log },
-    { value: 'linear', label: t.scale.linear },
-  ];
-  const xAxisOptions: SelectOption<CollectiveXXAxis>[] = [
-    { value: 'tokens-per-rank', label: t.xAxis['tokens-per-rank'] },
-    { value: 'global-tokens', label: t.xAxis['global-tokens'] },
-  ];
-  const fabricScopeOptions: SegmentedToggleOption<CollectiveXFabricScope>[] = [
-    { value: 'all', label: t.fabricScope.all },
-    { value: 'scale-up', label: t.fabricScope['scale-up'] },
-    { value: 'scale-out', label: t.fabricScope['scale-out'] },
   ];
   const versionOptions: SelectOption<CollectiveXVersion>[] = COLLECTIVEX_VERSIONS.map((value) => ({
     value,
@@ -430,7 +301,7 @@ export default function CollectiveXDisplay() {
       { value: 'latest', label: t.latestPublished },
       ...runList.map((run) => ({
         value: run.run_id,
-        label: `#${run.run_id} · ${run.conclusion ?? 'pending'} · ${run.covered_skus.length} SKU · ${formatDate(run.generated_at, locale)}`,
+        label: `#${run.run_id} · ${run.conclusion ?? 'pending'} · ${run.measured_cases}/${run.requested_cases} cases · ${run.terminal_points}/${run.requested_points} points · ${run.covered_skus.length} SKU · ${formatDate(run.generated_at, locale)}`,
       })),
     ],
     [locale, runList, t.latestPublished],
@@ -452,53 +323,43 @@ export default function CollectiveXDisplay() {
       setSelectedRunId(null);
     }
   }, [runsQuery.data, selectedRunId]);
-  const tabOptions: { value: CollectiveXTab; label: string }[] = [
-    { value: 'inventory', label: t.tabs.inventory },
-    { value: 'case', label: t.tabs.case },
-    { value: 'evidence', label: t.tabs.evidence },
-  ];
-
-  const dataset = data?.dataset;
-  const sourceSha = useMemo(() => runSourceSha(dataset?.series ?? []), [dataset?.series]);
-  // Selection for the "Selected matrix case" tab. Falls back to the first
-  // coverage row so the tab is never empty when the run has cases; a stale id
-  // (e.g. after pinning a different run) falls back the same way.
-  const [selectedCaseId, setSelectedCaseId] = useState<string | null>(null);
-  const selectedCase = useMemo(
-    () =>
-      (dataset?.coverage ?? []).find((item) => item.case_id === selectedCaseId) ??
-      dataset?.coverage[0] ??
-      null,
-    [dataset?.coverage, selectedCaseId],
-  );
-  const availableModes = useMemo(
-    () =>
-      [...new Set(dataset?.series.map((item) => item.mode))].toSorted((left, right) =>
-        left === 'normal' ? -1 : right === 'normal' ? 1 : 0,
-      ),
-    [dataset?.series],
-  );
+  const dataset = data;
   const availableEpSizes = useMemo(
     () =>
       [...new Set(dataset?.series.map((item) => item.system.ep_size))].toSorted((a, b) => a - b),
     [dataset?.series],
   );
+  const availablePhases = useMemo(
+    () =>
+      [
+        ...new Set(
+          dataset?.series
+            .filter((item) => item.system.ep_size === epSize)
+            .map((item) => item.phase),
+        ),
+      ].toSorted((left, right) =>
+        left === right ? 0 : left === 'decode' ? -1 : right === 'decode' ? 1 : 0,
+      ),
+    [dataset?.series, epSize],
+  );
+  const phaseOptions: SegmentedToggleOption<CollectiveXPhase>[] = availablePhases.map((value) => ({
+    value,
+    label: t.phase[value],
+  }));
   useEffect(() => {
-    if (availableModes.length > 0 && !availableModes.includes(mode)) {
-      const next = availableModes[0];
-      setMode(next);
-      if (next === 'low-latency') setPhase('decode');
-    }
     if (availableEpSizes.length > 0 && !availableEpSizes.includes(epSize)) {
       setEpSize(availableEpSizes[0]);
     }
-  }, [availableEpSizes, availableModes, epSize, mode]);
+    if (availablePhases.length > 0 && !availablePhases.includes(phase)) {
+      setPhase(availablePhases[0]);
+    }
+  }, [availableEpSizes, availablePhases, epSize, phase]);
   const seriesSelection = useMemo<CollectiveXSeriesSelection>(
-    () => ({ mode, epSize, phase, fabricScope }),
-    [epSize, fabricScope, mode, phase],
+    () => ({ epSize, phase }),
+    [epSize, phase],
   );
-  // The neutral view is the full measured series set for the run, narrowed by the
-  // identity axes the shard carries: mode, EP degree, phase, and fabric scope.
+  // SKU and EP determine topology; V1 fixes mode and routing. Only EP and phase
+  // are needed before the library/SKU comparison filters.
   const matchedSeries = useMemo(
     () => (dataset?.series ?? []).filter((item) => seriesMatchesSelection(item, seriesSelection)),
     [dataset?.series, seriesSelection],
@@ -508,53 +369,34 @@ export default function CollectiveXDisplay() {
     [matchedSeries],
   );
   const backendOptions = useMemo(
-    () => ['all', ...new Set(matchedSeries.map((item) => item.backend.label))],
-    [matchedSeries],
-  );
-  const routingOptions = useMemo(
     () => [
       'all',
       ...new Set(
-        matchedSeries.map((item) => `${item.workload.routing}${item.workload.eplb ? '+eplb' : ''}`),
+        matchedSeries
+          .filter((item) => sku === 'all' || item.system.sku === sku)
+          .map((item) => item.backend),
       ),
     ],
-    [matchedSeries],
+    [matchedSeries, sku],
   );
   useEffect(() => {
     if (!skuOptions.includes(sku)) setSku('all');
     if (!backendOptions.includes(backend)) setBackend('all');
-    if (!routingOptions.includes(routing)) setRouting('all');
-  }, [backend, backendOptions, routing, routingOptions, sku, skuOptions]);
+  }, [backend, backendOptions, sku, skuOptions]);
   const phaseSeries = useMemo(
     () =>
       matchedSeries.filter(
         (item) =>
           (sku === 'all' || item.system.sku === sku) &&
-          (backend === 'all' || item.backend.label === backend) &&
-          (routing === 'all' ||
-            `${item.workload.routing}${item.workload.eplb ? '+eplb' : ''}` === routing),
+          (backend === 'all' || item.backend === backend),
       ),
-    [backend, matchedSeries, routing, sku],
+    [backend, matchedSeries, sku],
   );
 
   useEffect(() => {
     setActiveSeriesIds(new Set(phaseSeries.map((item) => item.series_id)));
   }, [phaseSeries]);
 
-  useEffect(() => {
-    const readHash = () => {
-      const value = window.location.hash.replace(/^#(?:tab-)?/, '');
-      if (TAB_VALUES.includes(value as CollectiveXTab)) setTab(value as CollectiveXTab);
-    };
-    readHash();
-    window.addEventListener('hashchange', readHash);
-    window.addEventListener('popstate', readHash);
-    return () => {
-      window.removeEventListener('hashchange', readHash);
-      window.removeEventListener('popstate', readHash);
-    };
-  }, []);
-
   const activeSeries = useMemo(
     () => phaseSeries.filter((item) => activeSeriesIds.has(item.series_id)),
     [activeSeriesIds, phaseSeries],
@@ -564,7 +406,7 @@ export default function CollectiveXDisplay() {
     [phaseSeries],
   );
   const { resolveColor, getCssColor } = useThemeColors({
-    highContrast,
+    highContrast: false,
     activeKeys: colorKeys,
     hcKeys: colorKeys,
     hcVendorKeyFor: (key) => key.split('_')[0],
@@ -580,7 +422,7 @@ export default function CollectiveXDisplay() {
         label: collectiveXSeriesLabel(item),
         color: colors[collectiveXColorKey(item)] ?? 'var(--muted-foreground)',
         isActive: activeSeriesIds.has(item.series_id),
-        title: `${item.mode} · EP${item.system.ep_size} · ${item.system.scope} · ${collectiveXTopologyLabel(item.system)} · ${item.workload.workload_id}`,
+        title: `EP${item.system.ep_size} · ${collectiveXTopologyLabel(item.system)}`,
         onClick: () => {
           setActiveSeriesIds((previous) => {
             const next = new Set(previous);
@@ -593,64 +435,11 @@ export default function CollectiveXDisplay() {
       })),
     [activeSeriesIds, colors, phaseSeries],
   );
-  const warnings = useMemo(() => comparisonDifferences(activeSeries), [activeSeries]);
-  const missingComponents = activeSeries.some((item) =>
-    item.points.some((point) =>
-      operation === 'isolated-sum'
-        ? point.components.isolated_sum === null
-        : point.components[operation] === null,
-    ),
-  );
-  const chartSemantics = useMemo(() => {
-    const modes = [...new Set(phaseSeries.map((item) => item.mode))]
-      .map((item) => t.mode[item])
-      .join(' / ');
-    const eps = [...new Set(phaseSeries.map((item) => `EP${item.system.ep_size}`))].join(' / ');
-    const fabric = [...new Set(phaseSeries.map((item) => item.system.scope))]
-      .map((item) => t.topologyScope[item])
-      .join(' / ');
-    const payload = [...new Set(phaseSeries.map((item) => item.measurement.payload_unit))]
-      .map((item) => t.payloadUnit[item as keyof typeof t.payloadUnit] ?? item)
-      .join(' / ');
-    const combine = [...new Set(phaseSeries.map((item) => item.measurement.combine_semantics))]
-      .map((item) => t.combineSemantics[item as keyof typeof t.combineSemantics] ?? item)
-      .join(' / ');
-    const sampling = [
-      ...new Set(
-        phaseSeries.map((item) =>
-          t.samplingContract(
-            item.measurement.trials,
-            item.measurement.iters,
-            item.measurement.samples_per_component,
-            item.measurement.warmups,
-          ),
-        ),
-      ),
-    ].join(' / ');
-    return [modes, eps, fabric, payload, combine, sampling].filter(Boolean).join(' · ');
-  }, [phaseSeries, t]);
-
   const handleRefresh = useCallback(() => {
     track('collectivex_data_refreshed');
     void activeQuery.refetch();
     if (runsRequested) void runsQuery.refetch();
   }, [activeQuery, runsQuery, runsRequested]);
-  const handleTab = useCallback((value: string) => {
-    const next = value as CollectiveXTab;
-    setTab(next);
-    window.location.hash = `tab-${next}`;
-    track('collectivex_tab_changed', { tab: next });
-  }, []);
-  // Inspecting a case from the inventory jumps to the detail tab.
-  const handleInspectCase = useCallback(
-    (caseId: string) => {
-      setSelectedCaseId(caseId);
-      handleTab('case');
-      track('collectivex_case_inspected', { case: caseId });
-    },
-    [handleTab],
-  );
-
   if (isLoading) {
     return (
       <Card data-testid="collectivex-loading" className="min-h-80 items-center justify-center">
@@ -660,30 +449,11 @@ export default function CollectiveXDisplay() {
     );
   }
   if (error || !data || !dataset) {
-    const availabilityReason = collectiveXAvailabilityReason(error);
-    const message =
-      availabilityReason === 'source-unavailable'
-        ? t.sourceUnavailable
-        : availabilityReason === 'runs-unavailable'
-          ? t.runsErrorMessage
-          : error instanceof Error
-            ? error.message
-            : t.loadError;
+    const message = error instanceof Error ? error.message : t.loadError;
     return (
-      <Card
-        data-testid="collectivex-error"
-        className={availabilityReason ? undefined : 'border-destructive'}
-      >
+      <Card data-testid="collectivex-error" className="border-destructive">
         <h1 className="text-lg font-semibold">{t.unavailable}</h1>
-        <p
-          className={
-            availabilityReason
-              ? 'mt-2 text-sm text-muted-foreground'
-              : 'mt-2 text-sm text-destructive'
-          }
-        >
-          {message}
-        </p>
+        <p className="mt-2 text-sm text-destructive">{message}</p>
         <div className="mt-4 flex flex-wrap items-center gap-3">
           <div className="min-w-32">
             <SelectControl
@@ -733,39 +503,28 @@ export default function CollectiveXDisplay() {
             <p className="mt-2 text-sm text-muted-foreground">{t.description}</p>
           </div>
           <div className="flex shrink-0 flex-wrap items-center gap-2">
-            {sourceSha ? (
-              <>
-                <a
-                  data-testid="collectivex-source-link"
-                  href={`https://github.com/SemiAnalysisAI/InferenceX/tree/${sourceSha}/experimental/CollectiveX`}
-                  target="_blank"
-                  rel="noopener noreferrer"
-                  onClick={() => track('collectivex_source_opened', { source_sha: sourceSha })}
-                  className="inline-flex h-9 items-center gap-1.5 rounded-md border px-3 text-sm font-medium text-muted-foreground transition-colors hover:bg-muted hover:text-foreground"
-                >
-                  {t.source} <ExternalLink className="size-3.5" />
-                </a>
-                <a
-                  data-testid="collectivex-methodology-link"
-                  href={`https://github.com/SemiAnalysisAI/InferenceX/blob/${sourceSha}/experimental/CollectiveX/docs/${locale === 'zh' ? 'methodology_zh.md' : 'methodology.md'}`}
-                  target="_blank"
-                  rel="noopener noreferrer"
-                  onClick={() => track('collectivex_methodology_opened', { source_sha: sourceSha })}
-                  className="inline-flex h-9 items-center gap-1.5 rounded-md border px-3 text-sm font-medium text-muted-foreground transition-colors hover:bg-muted hover:text-foreground"
-                >
-                  <BookOpen className="size-3.5" /> {t.methodology}
-                </a>
-              </>
-            ) : (
-              <span
-                data-testid="collectivex-source-link"
-                aria-disabled="true"
-                title={t.sourceLinkUnavailable}
-                className="inline-flex h-9 cursor-not-allowed items-center gap-1.5 rounded-md border px-3 text-sm font-medium text-muted-foreground opacity-50"
-              >
-                {t.source} <ExternalLink className="size-3.5" />
-              </span>
-            )}
+            <a
+              data-testid="collectivex-source-link"
+              href={`https://github.com/SemiAnalysisAI/InferenceX/tree/${run.source_sha}/experimental/CollectiveX`}
+              target="_blank"
+              rel="noopener noreferrer"
+              onClick={() => track('collectivex_source_opened', { source_sha: run.source_sha })}
+              className="inline-flex h-9 items-center gap-1.5 rounded-md border px-3 text-sm font-medium text-muted-foreground transition-colors hover:bg-muted hover:text-foreground"
+            >
+              {t.source} <ExternalLink className="size-3.5" />
+            </a>
+            <a
+              data-testid="collectivex-methodology-link"
+              href={`https://github.com/SemiAnalysisAI/InferenceX/blob/${run.source_sha}/experimental/CollectiveX/docs/methodology.md`}
+              target="_blank"
+              rel="noopener noreferrer"
+              onClick={() =>
+                track('collectivex_methodology_opened', { source_sha: run.source_sha })
+              }
+              className="inline-flex h-9 items-center gap-1.5 rounded-md border px-3 text-sm font-medium text-muted-foreground transition-colors hover:bg-muted hover:text-foreground"
+            >
+              <BookOpen className="size-3.5" /> {t.methodology}
+            </a>
             <Button variant="outline" size="sm" onClick={handleRefresh} disabled={isFetching}>
               {isFetching ? (
                 <Loader2 className="size-4 animate-spin" />
@@ -776,13 +535,11 @@ export default function CollectiveXDisplay() {
             </Button>
           </div>
         </div>
-        <div className="mt-5 grid grid-cols-2 gap-3 sm:grid-cols-3 xl:grid-cols-6">
+        <div className="mt-5 grid grid-cols-2 gap-3 sm:grid-cols-4">
           <Stat value={dataset.series.length} label={t.seriesCount} />
           <Stat value={`${run.measured_cases}/${run.requested_cases}`} label={t.measuredCases} />
           <Stat value={`${run.terminal_cases}/${run.requested_cases}`} label={t.terminalCases} />
-          <Stat value={dataset.attempts.length} label={t.retainedAttempts} />
-          <Stat value={run.allocation_count} label={t.allocations} />
-          <Stat value={formatDate(dataset.generated_at, locale)} label={t.publishedUtc} compact />
+          <Stat value={formatDate(run.generated_at, locale)} label={t.publishedUtc} compact />
         </div>
       </Card>
 
@@ -799,10 +556,7 @@ export default function CollectiveXDisplay() {
           colors={colors}
           operation={operation}
           percentile={percentile}
-          xAxis={xAxis}
           yAxis={yAxis}
-          xScaleType={xScale}
-          yScaleType={yScale}
           caption={
             <>
               <h2 className="text-lg font-semibold">
@@ -817,18 +571,8 @@ export default function CollectiveXDisplay() {
               <p className="text-sm text-muted-foreground">
                 {yAxis === 'activation-rate'
                   ? 'Activation-data rate at selected latency percentile'
-                  : yAxis === 'total-logical-rate'
-                    ? 'Total logical data rate at selected latency percentile'
-                    : t.yAxis[yAxis]}
+                  : t.yAxis[yAxis]}
               </p>
-              {chartSemantics && (
-                <p
-                  data-testid="collectivex-chart-semantics"
-                  className="mb-2 text-xs font-medium text-muted-foreground"
-                >
-                  {chartSemantics}
-                </p>
-              )}
             </>
           }
           legendElement={
@@ -843,14 +587,6 @@ export default function CollectiveXDisplay() {
               }
               isLegendExpanded={legendExpanded}
               onExpandedChange={setLegendExpanded}
-              switches={[
-                {
-                  id: 'collectivex-high-contrast',
-                  label: t.highContrast,
-                  checked: highContrast,
-                  onCheckedChange: setHighContrast,
-                },
-              ]}
               actions={
                 activeSeries.length < phaseSeries.length
                   ? [
@@ -866,28 +602,7 @@ export default function CollectiveXDisplay() {
             />
           }
         />
-        {warnings.length > 0 && (
-          <p
-            data-testid="collectivex-comparison-warning"
-            className="mt-2 text-xs text-muted-foreground"
-          >
-            {t.selectedFactorsDiffer}:{' '}
-            {warnings
-              .map(
-                (warning) =>
-                  t.differenceLabels[warning as keyof typeof t.differenceLabels] ?? warning,
-              )
-              .join(', ')}
-            .
-          </p>
-        )}
-        {missingComponents && (
-          <p className="mt-2 text-xs text-muted-foreground">{t.missingComponents}</p>
-        )}
-        {operation === 'isolated-sum' && (
-          <p className="mt-2 text-xs text-muted-foreground">{t.isolatedNote}</p>
-        )}
-        {(yAxis === 'activation-rate' || yAxis === 'total-logical-rate') && (
+        {yAxis === 'activation-rate' && (
           <p className="mt-2 text-xs text-muted-foreground">{t.payloadNote}</p>
         )}
       </Card>
@@ -959,21 +674,6 @@ export default function CollectiveXDisplay() {
               </Button>
             )}
           </ControlGroup>
-          <ControlGroup label={t.modeControl}>
-            <SegmentedToggle
-              value={mode}
-              options={availableModes.map((value) => ({ value, label: t.mode[value] }))}
-              onValueChange={(value) => {
-                setMode(value);
-                if (value === 'low-latency') setPhase('decode');
-                track('collectivex_mode_changed', { mode: value });
-              }}
-              ariaLabel={t.modeAria}
-              testId="collectivex-mode-select"
-              className="flex w-full overflow-hidden"
-              buttonClassName="min-w-0 flex-1 justify-center px-1.5 whitespace-nowrap"
-            />
-          </ControlGroup>
           <SelectControl
             label={t.epControl}
             testId="collectivex-ep-select"
@@ -987,20 +687,6 @@ export default function CollectiveXDisplay() {
               track('collectivex_ep_changed', { ep: Number(value) });
             }}
           />
-          <ControlGroup label={t.fabricScopeControl}>
-            <SegmentedToggle
-              value={fabricScope}
-              options={fabricScopeOptions}
-              onValueChange={(value) => {
-                setFabricScope(value);
-                track('collectivex_fabric_scope_changed', { fabric_scope: value });
-              }}
-              ariaLabel={t.fabricScopeAria}
-              testId="collectivex-fabric-scope-toggle"
-              className="flex w-full overflow-hidden"
-              buttonClassName="min-w-0 flex-1 justify-center px-1.5 whitespace-nowrap"
-            />
-          </ControlGroup>
           <SelectControl
             label={t.operationControl}
             testId="collectivex-operation-select"
@@ -1009,11 +695,6 @@ export default function CollectiveXDisplay() {
             onChange={(next) => {
               setOperation(next);
               if (next !== 'roundtrip' && yAxis === 'tokens-per-second') setYAxis('latency');
-              if (
-                next === 'isolated-sum' &&
-                (yAxis === 'activation-rate' || yAxis === 'total-logical-rate')
-              )
-                setYAxis('latency');
             }}
           />
           <ControlGroup label={t.phaseControl}>
@@ -1048,29 +729,6 @@ export default function CollectiveXDisplay() {
             options={selectOptions(backendOptions, t.all)}
             onChange={setBackend}
           />
-          <SelectControl
-            label={t.routing}
-            testId="collectivex-routing-select"
-            value={routing}
-            options={selectOptions(routingOptions, t.all)}
-            onChange={setRouting}
-          />
-          <SelectControl
-            label={t.xAxisControl}
-            testId="collectivex-x-axis-select"
-            value={xAxis}
-            options={xAxisOptions}
-            onChange={setXAxis}
-          />
-          <ControlGroup label={t.xScale}>
-            <SegmentedToggle
-              value={xScale}
-              options={scaleOptions}
-              onValueChange={setXScale}
-              ariaLabel={t.xScaleAria}
-              testId="collectivex-x-scale-toggle"
-            />
-          </ControlGroup>
           <SelectControl
             label={t.yAxisControl}
             testId="collectivex-y-axis-select"
@@ -1086,73 +744,18 @@ export default function CollectiveXDisplay() {
                     },
                   ] as const)
                 : []),
-              ...(operation === 'isolated-sum'
-                ? []
-                : ([
-                    {
-                      value: 'activation-rate',
-                      label: 'Activation-data rate at latency percentile',
-                    },
-                    {
-                      value: 'total-logical-rate',
-                      label: 'Total logical data rate at latency percentile',
-                    },
-                  ] as const)),
+              {
+                value: 'activation-rate',
+                label: 'Activation-data rate at latency percentile',
+              },
             ]}
           />
-          <ControlGroup label={t.yScale}>
-            <SegmentedToggle
-              value={yScale}
-              options={scaleOptions}
-              onValueChange={setYScale}
-              ariaLabel={t.yScaleAria}
-              testId="collectivex-y-scale-toggle"
-            />
-          </ControlGroup>
         </div>
       </Card>
-      <Tabs value={tab} onValueChange={handleTab} className="gap-4">
-        <TabsList data-testid="collectivex-tabs" className="overflow-x-auto">
-          {tabOptions.map((item) => (
-            <TabsTrigger key={item.value} value={item.value} id={`tab-${item.value}`}>
-              {item.label}
-            </TabsTrigger>
-          ))}
-        </TabsList>
-        <TabsContent value="inventory">
-          <CollectiveXInventory
-            dataset={dataset}
-            selectedCaseId={selectedCase?.case_id ?? ''}
-            onInspectCase={handleInspectCase}
-          />
-        </TabsContent>
-        <TabsContent value="case">
-          {selectedCase ? (
-            <CollectiveXCaseDetail dataset={dataset} item={selectedCase} />
-          ) : (
-            <Card data-testid="collectivex-case-empty" className="py-4">
-              <p className="text-sm text-muted-foreground">{t.noCases}</p>
-            </Card>
-          )}
-        </TabsContent>
-        <TabsContent value="evidence" className="space-y-4">
-          <CollectiveXCoverageTable coverage={dataset.coverage} />
-          <CollectiveXAttemptTable attempts={dataset.attempts} coverage={dataset.coverage} />
-          <Card data-testid="collectivex-provenance">
-            <h2 className="text-lg font-semibold">{t.provenance}</h2>
-            <dl className="mt-3 grid gap-3 text-sm sm:grid-cols-2 lg:grid-cols-4">
-              <Provenance label={t.runLabel} value={`#${data.run_id}`} mono />
-              <Provenance label={t.attemptLabel} value={String(data.run_attempt)} mono />
-              <Provenance label={t.matrixLabel} value={run.matrix_id ?? '-'} mono />
-              <Provenance
-                label={t.sourceBundles}
-                value={dataset.source_bundle_ids.join(' · ') || '-'}
-                mono
-              />
-            </dl>
-          </Card>
-        </TabsContent>
-      </Tabs>
+      <CollectiveXInventory
+        key={`${dataset.version}-${run.run_id}-${run.run_attempt}`}
+        dataset={dataset}
+      />
     </section>
   );
 }
@@ -1214,20 +817,3 @@ function SelectControl<T extends string | number>({
     </ControlGroup>
   );
 }
-
-function Provenance({
-  label,
-  value,
-  mono = false,
-}: {
-  label: string;
-  value: string;
-  mono?: boolean;
-}) {
-  return (
-    <div>
-      <dt className="text-xs text-muted-foreground">{label}</dt>
-      <dd className={`${mono ? 'font-mono text-xs' : 'font-medium'} mt-1 break-all`}>{value}</dd>
-    </div>
-  );
-}
diff --git a/packages/app/src/components/collectivex/CollectiveXInventory.tsx b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
index 62f9e84cf..1d7b0d9d5 100644
--- a/packages/app/src/components/collectivex/CollectiveXInventory.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
@@ -1,60 +1,13 @@
 'use client';
 
-import { useMemo, useState } from 'react';
-import { ChevronRight, RotateCcw } from 'lucide-react';
+import { useMemo } from 'react';
 
 import { Badge } from '@/components/ui/badge';
-import { Button } from '@/components/ui/button';
 import { Card } from '@/components/ui/card';
 import { type DataTableColumn, DataTable } from '@/components/ui/data-table';
-import { Label } from '@/components/ui/label';
-import {
-  Select,
-  SelectContent,
-  SelectItem,
-  SelectTrigger,
-  SelectValue,
-} from '@/components/ui/select';
 
 import { collectiveXTopologyLabel } from './data';
-import type {
-  CollectiveXAttempt,
-  CollectiveXCommunicationAxis,
-  CollectiveXComponent,
-  CollectiveXCoverage,
-  CollectiveXCoveragePoint,
-  CollectiveXDataset,
-  CollectiveXPoint,
-  CollectiveXSeries,
-  CollectiveXTerminalStatus,
-} from './types';
-
-type FilterKey =
-  | 'sku'
-  | 'backend'
-  | 'ep'
-  | 'mode'
-  | 'phase'
-  | 'routing'
-  | 'topology'
-  | 'dispatchPrecision'
-  | 'combinePrecision'
-  | 'terminal';
-
-type Filters = Record<FilterKey, string>;
-
-const EMPTY_FILTERS: Filters = {
-  sku: 'all',
-  backend: 'all',
-  ep: 'all',
-  mode: 'all',
-  phase: 'all',
-  routing: 'all',
-  topology: 'all',
-  dispatchPrecision: 'all',
-  combinePrecision: 'all',
-  terminal: 'all',
-};
+import type { CollectiveXCoverage, CollectiveXDataset, CollectiveXTerminalStatus } from './types';
 
 const TERMINAL_ORDER: CollectiveXTerminalStatus[] = [
   'measured',
@@ -68,431 +21,58 @@ const TERMINAL_ORDER: CollectiveXTerminalStatus[] = [
 const STATUS_CLASS: Record<CollectiveXTerminalStatus, string> = {
   measured: 'border-emerald-600/40 bg-emerald-500/10 text-emerald-700 dark:text-emerald-300',
   unsupported: 'border-zinc-500/40 bg-zinc-500/10 text-zinc-700 dark:text-zinc-300',
-  failed: 'border-red-600/40 bg-red-500/10 text-red-700 dark:text-red-300',
+  failed: 'border-red-700/50 bg-red-700/10 text-red-800 dark:text-red-300',
   invalid: 'border-red-600/40 bg-red-500/10 text-red-700 dark:text-red-300',
   diagnostic: 'border-amber-600/40 bg-amber-500/10 text-amber-700 dark:text-amber-300',
   pending: 'border-zinc-500/40 bg-zinc-500/5 text-muted-foreground',
 };
 
-function axisKey(axis: CollectiveXCommunicationAxis | null): string {
-  return axis ? JSON.stringify(axis) : 'none';
-}
-
-function axisLabel(axis: CollectiveXCommunicationAxis | null): string {
-  if (!axis) return 'n/a';
-  return `${axis.communication_format} · ${axis.quant_mode} · ${axis.semantics}`;
-}
-
-function backendKey(item: CollectiveXCoverage): string {
-  return `${item.backend}\0${item.backend_generation ?? ''}`;
-}
-
-function backendLabel(item: CollectiveXCoverage): string {
-  return item.backend_generation ? `${item.backend} · ${item.backend_generation}` : item.backend;
-}
-
-function routingKey(item: CollectiveXCoverage): string {
-  return `${item.routing}${item.eplb ? '+eplb' : ''}`;
-}
-
-function topologyKey(item: CollectiveXCoverage): string {
-  return `${item.topology.scope}\0${item.topology.topology_class}\0${item.topology.transport}`;
-}
-
 function terminalCounts(item: CollectiveXCoverage): Record<CollectiveXTerminalStatus, number> {
-  return Object.fromEntries(
-    TERMINAL_ORDER.map((status) => [
-      status,
-      item.points.filter((point) => point.terminal_status === status).length,
-    ]),
-  ) as Record<CollectiveXTerminalStatus, number>;
-}
-
-function terminalSummary(item: CollectiveXCoverage): string {
-  const counts = terminalCounts(item);
-  return TERMINAL_ORDER.filter((status) => counts[status] > 0)
-    .map((status) => `${status} ${counts[status]}`)
-    .join(' · ');
-}
-
-function uniqueOptions(
-  coverage: CollectiveXCoverage[],
-  value: (item: CollectiveXCoverage) => string,
-  label: (item: CollectiveXCoverage) => string = value,
-): { value: string; label: string }[] {
-  return [
-    ...new Map(
-      coverage.map((item) => {
-        const key = value(item);
-        return [key, { value: key, label: label(item) }];
-      }),
-    ).values(),
-  ].toSorted((left, right) => left.label.localeCompare(right.label));
-}
-
-function FilterSelect({
-  label,
-  testId,
-  value,
-  options,
-  onChange,
-}: {
-  label: string;
-  testId: string;
-  value: string;
-  options: { value: string; label: string }[];
-  onChange: (value: string) => void;
-}) {
-  return (
-    <div className="min-w-0 space-y-1.5">
-      <Label className="text-[11px] uppercase text-muted-foreground">{label}</Label>
-      <Select value={value} onValueChange={onChange}>
-        <SelectTrigger data-testid={testId} className="min-w-0 w-full">
-          <SelectValue />
-        </SelectTrigger>
-        <SelectContent>
-          <SelectItem value="all">All</SelectItem>
-          {options.map((option) => (
-            <SelectItem key={option.value} value={option.value}>
-              {option.label}
-            </SelectItem>
-          ))}
-        </SelectContent>
-      </Select>
-    </div>
-  );
+  const counts = Object.fromEntries(TERMINAL_ORDER.map((status) => [status, 0])) as Record<
+    CollectiveXTerminalStatus,
+    number
+  >;
+  for (const point of item.points) counts[point.terminal_status] += 1;
+  return counts;
 }
 
 function TerminalBadges({ item }: { item: CollectiveXCoverage }) {
   const counts = terminalCounts(item);
+  const reasons = [...new Set(item.points.flatMap((point) => point.reason ?? []))];
   return (
-    <div className="flex flex-wrap gap-1">
-      {TERMINAL_ORDER.filter((status) => counts[status] > 0).map((status) => (
-        <Badge key={status} variant="outline" className={STATUS_CLASS[status]}>
-          {status} {counts[status]}
-        </Badge>
-      ))}
-    </div>
-  );
-}
-
-interface PointRow {
-  catalog: CollectiveXCoveragePoint;
-  series: CollectiveXSeries | null;
-  point: CollectiveXPoint | null;
-  attempts: CollectiveXAttempt[];
-}
-
-function componentSummary(component: CollectiveXComponent | null): React.ReactNode {
-  if (component === null) return <span className="text-muted-foreground">Unavailable</span>;
-  const bytes = component.byte_provenance;
-  const activation = component.activation_data_rate_gbps_at_latency_percentile?.p99;
-  const total = component.total_logical_data_rate_gbps_at_latency_percentile?.p99;
-  return (
-    <div className="min-w-44 space-y-0.5 text-xs tabular-nums">
-      <p>
-        p50 {component.latency_us.p50.toFixed(1)} · p99 {component.latency_us.p99.toFixed(1)} us
-      </p>
-      <p className="text-muted-foreground">
-        {component.origin === 'measured'
-          ? `${component.sample_count ?? '-'} samples`
-          : 'Derived, no samples'}
-      </p>
-      {bytes ? (
-        <p className="text-muted-foreground">
-          bytes {bytes.activation_data_bytes.toLocaleString()} +{' '}
-          {bytes.scale_bytes.toLocaleString()} = {bytes.total_logical_bytes.toLocaleString()}
-        </p>
-      ) : (
-        <p className="text-muted-foreground">no byte accounting</p>
+    <div className="min-w-44">
+      <div className="flex flex-wrap gap-1">
+        {TERMINAL_ORDER.filter((status) => counts[status] > 0).map((status) => (
+          <Badge key={status} variant="outline" className={STATUS_CLASS[status]}>
+            {status} {counts[status]}
+          </Badge>
+        ))}
+      </div>
+      {reasons.length > 0 && (
+        <p className="mt-1 text-xs text-muted-foreground">{reasons.join(', ')}</p>
       )}
-      <p className="text-muted-foreground">
-        p99 A {activation?.toFixed(2) ?? '-'} · total {total?.toFixed(2) ?? '-'} GB/s
-      </p>
-    </div>
-  );
-}
-
-function pointAnomalies(row: PointRow): string {
-  if (!row.point) return '-';
-  const routing = row.point.routing;
-  const anomalies = row.point.anomalies.join(', ');
-  return `expert CV ${routing.expert_load_cv.toFixed(3)} · rank CV ${routing.payload_rank_cv.toFixed(3)} · hotspot ${routing.hotspot_ratio.toFixed(2)}x · empty ${routing.empty_expert_count}/${routing.empty_rank_count}${anomalies ? ` · ${anomalies}` : ' · none declared'}`;
-}
-
-function correctnessSummary(row: PointRow): React.ReactNode {
-  if (!row.point) return '-';
-  const correctness = row.point.correctness;
-  return (
-    <div className="min-w-52 text-xs">
-      <p>
-        Correctness {correctness.passed ? 'pass' : 'fail'} · max rel err{' '}
-        {correctness.max_relative_error.toExponential(1)}
-      </p>
     </div>
   );
 }
 
-function DetailValue({
-  label,
-  value,
-  mono = false,
-}: {
-  label: string;
-  value: string;
-  mono?: boolean;
-}) {
-  return (
-    <div className="min-w-0">
-      <dt className="text-[11px] uppercase text-muted-foreground">{label}</dt>
-      <dd className={`mt-1 break-words ${mono ? 'font-mono text-xs' : ''}`}>{value}</dd>
-    </div>
-  );
-}
-
-export function CollectiveXCaseDetail({
-  dataset,
-  item,
-}: {
-  dataset: CollectiveXDataset;
-  item: CollectiveXCoverage;
-}) {
-  const seriesById = useMemo(
-    () => new Map(dataset.series.map((series) => [series.series_id, series])),
-    [dataset.series],
-  );
-  const rows = useMemo<PointRow[]>(
-    () =>
-      item.points.map((catalog) => {
-        const series = catalog.series_id ? (seriesById.get(catalog.series_id) ?? null) : null;
-        const point =
-          catalog.point_id && series
-            ? (series.points.find((candidate) => candidate.point_id === catalog.point_id) ?? null)
-            : null;
-        const attempts = dataset.attempts.filter(
-          (attempt) =>
-            attempt.case_id === item.case_id &&
-            (!catalog.point_id ||
-              attempt.evidence.some((evidence) => evidence.point_id === catalog.point_id)),
-        );
-        return { catalog, series, point, attempts };
-      }),
-    [dataset.attempts, item, seriesById],
-  );
-  const columns = useMemo<DataTableColumn<PointRow>[]>(
-    () => [
-      {
-        header: 'Terminal status',
-        cell: (row) => (
-          <div className="min-w-28">
-            <Badge variant="outline" className={STATUS_CLASS[row.catalog.terminal_status]}>
-              {row.catalog.terminal_status}
-            </Badge>
-            {row.catalog.reason && (
-              <p className="mt-1 text-xs text-muted-foreground">{row.catalog.reason}</p>
-            )}
-          </div>
-        ),
-        sortValue: (row) => `${row.catalog.terminal_status} ${row.catalog.reason ?? ''}`,
-      },
-      {
-        header: 'Tokens / rank',
-        align: 'right',
-        cell: (row) => row.catalog.tokens_per_rank.toLocaleString(),
-        sortValue: (row) => row.catalog.tokens_per_rank,
-      },
-      {
-        header: 'Global tokens',
-        align: 'right',
-        cell: (row) => row.catalog.global_tokens.toLocaleString(),
-        sortValue: (row) => row.catalog.global_tokens,
-      },
-      {
-        header: 'Correctness',
-        cell: correctnessSummary,
-        sortValue: (row) =>
-          row.point
-            ? `${row.point.correctness.passed} ${row.point.correctness.max_relative_error}`
-            : '',
-      },
-      {
-        header: 'Evidence',
-        cell: (row) => (
-          <div className="min-w-32 text-xs">
-            <p>
-              {row.attempts.length} attempt{row.attempts.length === 1 ? '' : 's'}
-            </p>
-            <p className="text-muted-foreground">
-              {row.attempts.some((attempt) => attempt.selected) ? 'selected' : '—'} ·{' '}
-              {row.point?.evidence_ids.length ?? 0} evidence IDs
-            </p>
-          </div>
-        ),
-        sortValue: (row) => row.attempts.length,
-      },
-      {
-        header: 'Anomalies',
-        cell: (row) => <span className="block min-w-64 text-xs">{pointAnomalies(row)}</span>,
-        sortValue: pointAnomalies,
-      },
-      {
-        header: 'Dispatch',
-        cell: (row) => componentSummary(row.point?.components.dispatch ?? null),
-      },
-      {
-        header: 'Stage',
-        cell: (row) => componentSummary(row.point?.components.stage ?? null),
-      },
-      {
-        header: 'Combine',
-        cell: (row) => componentSummary(row.point?.components.combine ?? null),
-      },
-      {
-        header: 'Round trip',
-        cell: (row) => componentSummary(row.point?.components.roundtrip ?? null),
-      },
-      {
-        header: 'Isolated sum',
-        cell: (row) => componentSummary(row.point?.components.isolated_sum ?? null),
-      },
-    ],
-    [],
-  );
-
-  return (
-    <Card
-      data-testid="collectivex-case-detail"
-      className="min-w-0 w-full max-w-full overflow-hidden"
-    >
-      <div className="flex flex-wrap items-start justify-between gap-3">
-        <div>
-          <p className="text-xs font-medium text-muted-foreground">Selected matrix case</p>
-          <h2 className="mt-1 text-lg font-semibold">{item.label}</h2>
-          <p className="mt-1 font-mono text-xs text-muted-foreground">{item.case_id}</p>
-        </div>
-        <TerminalBadges item={item} />
-      </div>
-      <dl className="mt-4 grid gap-4 border-y py-4 text-sm sm:grid-cols-2 lg:grid-cols-4">
-        <DetailValue
-          label="Resource"
-          value={`${item.resource.configured_units ?? '-'} ${item.resource.comm_units_kind ?? 'units'}`}
-        />
-        <DetailValue
-          label="Topology"
-          value={`EP${item.topology.ep_size} · ${collectiveXTopologyLabel(item.topology)}`}
-        />
-        <DetailValue label="Dispatch precision" value={axisLabel(item.dispatch_precision)} />
-        <DetailValue label="Combine precision" value={axisLabel(item.combine_precision)} />
-        <DetailValue label="Routing" value={routingKey(item)} />
-        <DetailValue label="Backend" value={backendLabel(item)} />
-      </dl>
-      <h3 className="mt-5 font-semibold">Point terminal evidence</h3>
-      <DataTable
-        data={rows}
-        columns={columns}
-        testId="collectivex-case-points-table"
-        analyticsPrefix="collectivex_case_points"
-        watermark={false}
-      />
-    </Card>
-  );
-}
-
-export function CollectiveXInventory({
-  dataset,
-  selectedCaseId,
-  onInspectCase,
-}: {
-  dataset: CollectiveXDataset;
-  selectedCaseId: string;
-  onInspectCase: (caseId: string) => void;
-}) {
-  const [filters, setFilters] = useState<Filters>(EMPTY_FILTERS);
-  const setFilter = (key: FilterKey, value: string) =>
-    setFilters((previous) => ({ ...previous, [key]: value }));
-  const options = useMemo(
-    () => ({
-      sku: uniqueOptions(
-        dataset.coverage,
-        (item) => item.sku,
-        (item) => item.sku.toUpperCase(),
-      ),
-      backend: uniqueOptions(dataset.coverage, backendKey, backendLabel),
-      ep: uniqueOptions(
-        dataset.coverage,
-        (item) => String(item.topology.ep_size),
-        (item) => `EP${item.topology.ep_size}`,
-      ),
-      mode: uniqueOptions(dataset.coverage, (item) => item.mode),
-      phase: uniqueOptions(dataset.coverage, (item) => item.phase),
-      routing: uniqueOptions(dataset.coverage, routingKey),
-      topology: uniqueOptions(
-        dataset.coverage,
-        topologyKey,
-        (item) => `${item.topology.scope} · ${item.topology.topology_class}`,
-      ),
-      dispatchPrecision: uniqueOptions(
-        dataset.coverage,
-        (item) => axisKey(item.dispatch_precision),
-        (item) => axisLabel(item.dispatch_precision),
-      ),
-      combinePrecision: uniqueOptions(
-        dataset.coverage,
-        (item) => axisKey(item.combine_precision),
-        (item) => axisLabel(item.combine_precision),
-      ),
-      terminal: TERMINAL_ORDER.map((status) => ({ value: status, label: status })),
-    }),
-    [dataset.coverage],
-  );
-  const filtered = useMemo(
-    () =>
-      dataset.coverage.filter(
-        (item) =>
-          (filters.sku === 'all' || item.sku === filters.sku) &&
-          (filters.backend === 'all' || backendKey(item) === filters.backend) &&
-          (filters.ep === 'all' || String(item.topology.ep_size) === filters.ep) &&
-          (filters.mode === 'all' || item.mode === filters.mode) &&
-          (filters.phase === 'all' || item.phase === filters.phase) &&
-          (filters.routing === 'all' || routingKey(item) === filters.routing) &&
-          (filters.topology === 'all' || topologyKey(item) === filters.topology) &&
-          (filters.dispatchPrecision === 'all' ||
-            axisKey(item.dispatch_precision) === filters.dispatchPrecision) &&
-          (filters.combinePrecision === 'all' ||
-            axisKey(item.combine_precision) === filters.combinePrecision) &&
-          (filters.terminal === 'all' ||
-            item.points.some((point) => point.terminal_status === filters.terminal)),
-      ),
-    [dataset.coverage, filters],
-  );
+export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset }) {
   const columns = useMemo<DataTableColumn<CollectiveXCoverage>[]>(
     () => [
       {
         header: 'Case',
         cell: (row) => (
-          <button
-            type="button"
-            onClick={() => onInspectCase(row.case_id)}
-            aria-current={row.case_id === selectedCaseId ? 'true' : undefined}
-            className={`flex min-w-56 items-center gap-2 text-left font-medium hover:underline ${row.case_id === selectedCaseId ? 'text-primary' : ''}`}
-            aria-label={`Inspect ${row.label}`}
-          >
-            <ChevronRight className="size-4 shrink-0" />
-            <span>
-              {row.label}
-              <span className="mt-0.5 block font-mono text-[11px] font-normal text-muted-foreground">
-                {row.case_id.slice(-12)}
-              </span>
-            </span>
-          </button>
+          <div className="min-w-56">
+            <p className="font-medium">{row.label}</p>
+            <p className="mt-0.5 font-mono text-[11px] text-muted-foreground">{row.case_id}</p>
+          </div>
         ),
         sortValue: (row) => `${row.label} ${row.case_id}`,
       },
       { header: 'SKU', cell: (row) => row.sku.toUpperCase(), sortValue: (row) => row.sku },
       {
-        header: 'Backend / generation',
-        cell: backendLabel,
-        sortValue: backendLabel,
+        header: 'Backend',
+        cell: (row) => row.backend,
+        sortValue: (row) => row.backend,
         className: 'whitespace-nowrap',
       },
       {
@@ -501,150 +81,55 @@ export function CollectiveXInventory({
         sortValue: (row) => row.topology.ep_size,
       },
       {
-        header: 'Mode / phase',
-        cell: (row) => `${row.mode} · ${row.phase}`,
-        sortValue: (row) => `${row.mode} ${row.phase}`,
-        className: 'whitespace-nowrap',
-      },
-      {
-        header: 'Routing / EPLB',
-        cell: routingKey,
-        sortValue: routingKey,
-        className: 'whitespace-nowrap',
+        header: 'Phase',
+        cell: (row) => row.phase,
+        sortValue: (row) => row.phase,
       },
       {
         header: 'Topology',
-        cell: (row) => `${row.topology.scope} · ${row.topology.topology_class}`,
-        sortValue: topologyKey,
+        cell: (row) => collectiveXTopologyLabel(row.topology),
+        sortValue: (row) => collectiveXTopologyLabel(row.topology),
         className: 'whitespace-nowrap',
       },
-      {
-        header: 'Dispatch precision',
-        cell: (row) => axisLabel(row.dispatch_precision),
-        sortValue: (row) => axisLabel(row.dispatch_precision),
-        className: 'min-w-52',
-      },
-      {
-        header: 'Combine precision',
-        cell: (row) => axisLabel(row.combine_precision),
-        sortValue: (row) => axisLabel(row.combine_precision),
-        className: 'min-w-52',
-      },
       {
         header: 'Disposition',
-        cell: (row) => `${row.disposition} · ${row.outcome}`,
-        sortValue: (row) => `${row.disposition} ${row.outcome}`,
-        className: 'whitespace-nowrap',
+        cell: (row) => (
+          <div className="min-w-48">
+            <p>
+              {row.disposition} · {row.outcome}
+            </p>
+            {(row.detail || row.reason) && (
+              <p className="text-xs text-muted-foreground">{row.detail ?? row.reason}</p>
+            )}
+          </div>
+        ),
+        sortValue: (row) =>
+          `${row.disposition} ${row.outcome} ${row.reason ?? ''} ${row.detail ?? ''}`,
       },
       {
-        header: 'Point terminal status',
+        header: 'Point status',
         cell: (row) => <TerminalBadges item={row} />,
-        sortValue: terminalSummary,
-        className: 'min-w-44',
+        sortValue: (row) =>
+          `${TERMINAL_ORDER.map((status) => `${status}:${terminalCounts(row)[status]}`).join(' ')} ${row.points.map((point) => point.reason ?? '').join(' ')}`,
       },
     ],
-    [onInspectCase, selectedCaseId],
+    [],
   );
-  const pointCounts = dataset.coverage.flatMap((item) => item.points);
+  const points = dataset.coverage.flatMap((item) => item.points);
+  const measured = points.filter((point) => point.terminal_status === 'measured').length;
+  const unsupported = points.filter((point) => point.terminal_status === 'unsupported').length;
 
   return (
     <Card data-testid="collectivex-inventory" className="min-w-0 w-full max-w-full overflow-hidden">
-      <div className="flex flex-wrap items-start justify-between gap-3">
-        <div>
-          <h2 className="text-lg font-semibold">Matrix case inventory</h2>
-          <p className="mt-1 text-sm text-muted-foreground">
-            {filtered.length} of {dataset.coverage.length} cases · {dataset.run.measured_cases}{' '}
-            measured cases · {dataset.run.unsupported_cases} unsupported cases ·{' '}
-            {dataset.run.terminal_points}/{dataset.run.requested_points} terminal points ·{' '}
-            {pointCounts.filter((point) => point.terminal_status === 'measured').length} measured
-            points · {pointCounts.filter((point) => point.terminal_status === 'unsupported').length}{' '}
-            unsupported points
-          </p>
-        </div>
-        <Button
-          variant="outline"
-          size="sm"
-          onClick={() => setFilters(EMPTY_FILTERS)}
-          disabled={Object.values(filters).every((value) => value === 'all')}
-        >
-          <RotateCcw className="size-4" />
-          Reset filters
-        </Button>
-      </div>
-      <div className="mt-4 grid gap-3 sm:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6">
-        <FilterSelect
-          label="SKU"
-          testId="collectivex-inventory-sku"
-          value={filters.sku}
-          options={options.sku}
-          onChange={(value) => setFilter('sku', value)}
-        />
-        <FilterSelect
-          label="Backend / generation"
-          testId="collectivex-inventory-backend"
-          value={filters.backend}
-          options={options.backend}
-          onChange={(value) => setFilter('backend', value)}
-        />
-        <FilterSelect
-          label="EP"
-          testId="collectivex-inventory-ep"
-          value={filters.ep}
-          options={options.ep}
-          onChange={(value) => setFilter('ep', value)}
-        />
-        <FilterSelect
-          label="Mode"
-          testId="collectivex-inventory-mode"
-          value={filters.mode}
-          options={options.mode}
-          onChange={(value) => setFilter('mode', value)}
-        />
-        <FilterSelect
-          label="Phase"
-          testId="collectivex-inventory-phase"
-          value={filters.phase}
-          options={options.phase}
-          onChange={(value) => setFilter('phase', value)}
-        />
-        <FilterSelect
-          label="Routing / EPLB"
-          testId="collectivex-inventory-routing"
-          value={filters.routing}
-          options={options.routing}
-          onChange={(value) => setFilter('routing', value)}
-        />
-        <FilterSelect
-          label="Topology"
-          testId="collectivex-inventory-topology"
-          value={filters.topology}
-          options={options.topology}
-          onChange={(value) => setFilter('topology', value)}
-        />
-        <FilterSelect
-          label="Dispatch precision"
-          testId="collectivex-inventory-dispatch-precision"
-          value={filters.dispatchPrecision}
-          options={options.dispatchPrecision}
-          onChange={(value) => setFilter('dispatchPrecision', value)}
-        />
-        <FilterSelect
-          label="Combine precision"
-          testId="collectivex-inventory-combine-precision"
-          value={filters.combinePrecision}
-          options={options.combinePrecision}
-          onChange={(value) => setFilter('combinePrecision', value)}
-        />
-        <FilterSelect
-          label="Terminal disposition"
-          testId="collectivex-inventory-terminal"
-          value={filters.terminal}
-          options={options.terminal}
-          onChange={(value) => setFilter('terminal', value)}
-        />
-      </div>
+      <h2 className="text-lg font-semibold">Matrix case inventory</h2>
+      <p className="mt-1 text-sm text-muted-foreground">
+        {dataset.coverage.length} cases · {dataset.run.measured_cases} measured ·{' '}
+        {dataset.run.unsupported_cases} unsupported · {dataset.run.terminal_points}/
+        {dataset.run.requested_points} terminal points · {measured} measured · {unsupported}{' '}
+        unsupported
+      </p>
       <DataTable
-        data={filtered}
+        data={dataset.coverage}
         columns={columns}
         testId="collectivex-inventory-table"
         analyticsPrefix="collectivex_inventory"
diff --git a/packages/app/src/components/collectivex/CollectiveXTables.tsx b/packages/app/src/components/collectivex/CollectiveXTables.tsx
index 56e87a913..3a2a37dcb 100644
--- a/packages/app/src/components/collectivex/CollectiveXTables.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXTables.tsx
@@ -9,7 +9,7 @@ import { useLocale } from '@/lib/use-locale';
 
 import { collectiveXTopologyLabel } from './data';
 
-import type { CollectiveXAttempt, CollectiveXCoverage, CollectiveXOutcome } from './types';
+import type { CollectiveXCoverage, CollectiveXOutcome } from './types';
 
 const OUTCOME_CLASSES = {
   success: 'border-emerald-600/40 bg-emerald-500/15 text-emerald-700 dark:text-emerald-300',
@@ -103,8 +103,6 @@ const STRINGS = {
   },
 } as const;
 
-type TableStrings = (typeof STRINGS)[keyof typeof STRINGS];
-
 const REASON_LABELS = {
   zh: {
     'artifact-validation-failed': '产物校验失败',
@@ -167,18 +165,6 @@ export function collectiveXReasonLabel(value: string, locale: 'en' | 'zh'): stri
   return REASON_LABELS.zh[value as keyof typeof REASON_LABELS.zh] ?? value;
 }
 
-function attemptRoleLabel(
-  attempt: CollectiveXAttempt,
-  terminalAttemptIds: Set<string>,
-  t: TableStrings,
-): string {
-  const roles = [
-    ...(terminalAttemptIds.has(attempt.attempt_id) ? [t.terminalRole] : []),
-    ...(attempt.selected ? [t.allocationRole] : []),
-  ];
-  return roles.length > 0 ? roles.join(' · ') : t.retainedRole;
-}
-
 function OutcomeBadge({ outcome }: { outcome: CollectiveXOutcome }) {
   const t = STRINGS[useLocale()];
   return (
@@ -224,22 +210,11 @@ export function CollectiveXCoverageTable({ coverage }: { coverage: CollectiveXCo
         cell: (row) => t.phase[row.phase],
         sortValue: (row) => t.phase[row.phase],
       },
-      {
-        header: t.modeHeader,
-        cell: (row) => t.mode[row.mode],
-        sortValue: (row) => t.mode[row.mode],
-      },
       {
         header: t.epHeader,
         cell: (row) => `EP${row.topology.ep_size}`,
         sortValue: (row) => row.topology.ep_size,
       },
-      {
-        header: t.scopeHeader,
-        cell: (row) => t.scope[row.topology.scope],
-        sortValue: (row) => t.scope[row.topology.scope],
-        className: 'whitespace-nowrap',
-      },
       {
         header: t.topologyHeader,
         cell: (row) => collectiveXTopologyLabel(row.topology),
@@ -256,30 +231,6 @@ export function CollectiveXCoverageTable({ coverage }: { coverage: CollectiveXCo
         cell: (row) => <OutcomeBadge outcome={row.outcome} />,
         sortValue: (row) => t.outcome[row.outcome],
       },
-      {
-        header: t.attempts,
-        align: 'right',
-        cell: (row) => row.attempt_ids.length,
-        sortValue: (row) => row.attempt_ids.length,
-        className: 'tabular-nums',
-      },
-      {
-        header: t.selected,
-        cell: (row) => (
-          <span title={row.selected_attempt_id ?? undefined} className="font-mono text-xs">
-            {shortId(row.selected_attempt_id)}
-          </span>
-        ),
-        sortValue: (row) => row.selected_attempt_id ?? '',
-      },
-      {
-        header: t.failureMode,
-        cell: (row) => (row.failure_mode ? collectiveXReasonLabel(row.failure_mode, locale) : '-'),
-        sortValue: (row) =>
-          row.failure_mode
-            ? `${collectiveXReasonLabel(row.failure_mode, locale)} ${row.failure_mode}`
-            : '',
-      },
       {
         header: t.reason,
         cell: (row) => (row.reason ? collectiveXReasonLabel(row.reason, locale) : '-'),
@@ -302,148 +253,3 @@ export function CollectiveXCoverageTable({ coverage }: { coverage: CollectiveXCo
     </Card>
   );
 }
-
-export function CollectiveXAttemptTable({
-  attempts,
-  coverage,
-}: {
-  attempts: CollectiveXAttempt[];
-  coverage: CollectiveXCoverage[];
-}) {
-  const locale = useLocale();
-  const t = STRINGS[locale];
-  const coverageByCase = useMemo(
-    () => new Map(coverage.map((item) => [item.case_id, item])),
-    [coverage],
-  );
-  const terminalAttemptIds = useMemo(
-    () =>
-      new Set(
-        coverage.flatMap((item) =>
-          item.selected_attempt_id === null ? [] : [item.selected_attempt_id],
-        ),
-      ),
-    [coverage],
-  );
-  const columns = useMemo<DataTableColumn<CollectiveXAttempt>[]>(
-    () => [
-      {
-        header: t.case,
-        cell: (row) => (
-          <div title={`${t.caseId}: ${row.case_id}`}>
-            <p className="font-medium whitespace-nowrap">
-              {coverageByCase.get(row.case_id)?.label ?? shortId(row.case_id)}
-            </p>
-            <p className="font-mono text-[11px] text-muted-foreground">{shortId(row.case_id)}</p>
-          </div>
-        ),
-        sortValue: (row) => `${coverageByCase.get(row.case_id)?.label ?? ''} ${row.case_id}`,
-      },
-      {
-        header: t.attemptId,
-        cell: (row) => (
-          <span title={row.attempt_id} className="font-mono text-xs">
-            {shortId(row.attempt_id)}
-          </span>
-        ),
-        sortValue: (row) => row.attempt_id,
-      },
-      {
-        header: t.allocation,
-        cell: (row) => (
-          <span title={row.allocation_id} className="font-mono text-xs">
-            {shortId(row.allocation_id)}
-          </span>
-        ),
-        sortValue: (row) => row.allocation_id,
-      },
-      {
-        header: t.run,
-        cell: (row) => `${row.run_id}.${row.run_attempt}`,
-        sortValue: (row) =>
-          `${row.run_id.padStart(20, '0')}.${String(row.run_attempt).padStart(10, '0')}`,
-        className: 'font-mono text-xs',
-      },
-      {
-        header: t.attempt,
-        align: 'right',
-        cell: (row) => row.attempt_index,
-        sortValue: (row) => row.attempt_index,
-        className: 'tabular-nums',
-      },
-      {
-        header: t.outcomeHeader,
-        cell: (row) => <OutcomeBadge outcome={row.outcome} />,
-        sortValue: (row) => t.outcome[row.outcome],
-      },
-      {
-        header: t.role,
-        cell: (row) => attemptRoleLabel(row, terminalAttemptIds, t),
-        sortValue: (row) => attemptRoleLabel(row, terminalAttemptIds, t),
-      },
-      {
-        header: t.evidence,
-        align: 'right',
-        cell: (row) => (
-          <details className="font-mono text-xs">
-            <summary
-              aria-label={`${t.evidence}: ${row.evidence.length}`}
-              title={row.evidence
-                .map((item) => `${item.evidence_id} -> ${item.point_id}`)
-                .join('\n')}
-              className="cursor-pointer list-none whitespace-nowrap [&::-webkit-details-marker]:hidden"
-            >
-              {row.evidence.length}
-              {row.evidence.length > 0 &&
-                ` · ${row.evidence.map((item) => shortId(item.evidence_id)).join(' · ')}`}
-            </summary>
-            {row.evidence.length > 0 && (
-              <div className="mt-2 max-w-[36rem] space-y-1 text-left text-[10px] leading-4 break-all">
-                {row.evidence.map((item) => (
-                  <p key={`${item.evidence_id}:${item.point_id}`}>
-                    <span data-testid="collectivex-evidence-id">{item.evidence_id}</span>
-                    <span aria-hidden="true"> -&gt; </span>
-                    <span>{item.point_id}</span>
-                  </p>
-                ))}
-              </div>
-            )}
-          </details>
-        ),
-        sortValue: (row) =>
-          [
-            String(row.evidence.length).padStart(8, '0'),
-            ...row.evidence.flatMap((item) => [item.evidence_id, item.point_id]),
-          ].join(' '),
-        className: 'tabular-nums',
-      },
-      {
-        header: t.failureMode,
-        cell: (row) => (row.failure_mode ? collectiveXReasonLabel(row.failure_mode, locale) : '-'),
-        sortValue: (row) =>
-          row.failure_mode
-            ? `${collectiveXReasonLabel(row.failure_mode, locale)} ${row.failure_mode}`
-            : '',
-      },
-      {
-        header: t.reason,
-        cell: (row) => (row.reason ? collectiveXReasonLabel(row.reason, locale) : '-'),
-        sortValue: (row) =>
-          row.reason ? `${collectiveXReasonLabel(row.reason, locale)} ${row.reason}` : '',
-      },
-    ],
-    [coverageByCase, locale, t, terminalAttemptIds],
-  );
-
-  return (
-    <Card data-testid="collectivex-attempts">
-      <h2 className="text-lg font-semibold">{t.retainedAttempts}</h2>
-      <DataTable
-        data={attempts}
-        columns={columns}
-        testId="collectivex-attempts-table"
-        analyticsPrefix="collectivex_attempts_table"
-      />
-    </Card>
-  );
-}
diff --git a/packages/app/src/components/collectivex/axis.test.ts b/packages/app/src/components/collectivex/axis.test.ts
deleted file mode 100644
index a5b171561..000000000
--- a/packages/app/src/components/collectivex/axis.test.ts
+++ /dev/null
@@ -1,22 +0,0 @@
-import { describe, expect, it } from 'vitest';
-
-import { sparseLogTicks } from './axis';
-
-describe('sparseLogTicks', () => {
-  it('uses sparse 1-2-5 ticks for a typical latency domain', () => {
-    expect(sparseLogTicks([48, 225], 5)).toEqual([50, 100, 200]);
-  });
-
-  it('caps wide domains without restoring dense minor ticks', () => {
-    expect(sparseLogTicks([0.1, 1000], 5)).toEqual([0.1, 1, 10, 100, 1000]);
-  });
-
-  it('falls back to a small geometric set for a narrow domain', () => {
-    expect(sparseLogTicks([52, 65], 4)).toEqual([52, 58, 65]);
-  });
-
-  it('handles reversed and invalid domains', () => {
-    expect(sparseLogTicks([225, 48], 5)).toEqual([50, 100, 200]);
-    expect(sparseLogTicks([0, Number.NaN], 5)).toEqual([]);
-  });
-});
diff --git a/packages/app/src/components/collectivex/axis.ts b/packages/app/src/components/collectivex/axis.ts
deleted file mode 100644
index d3d212501..000000000
--- a/packages/app/src/components/collectivex/axis.ts
+++ /dev/null
@@ -1,51 +0,0 @@
-const LOG_MANTISSAS = [1, 2, 5] as const;
-
-function evenlySpaced<T>(values: T[], count: number): T[] {
-  if (values.length <= count) return values;
-  if (count <= 1) return [values[Math.floor(values.length / 2)]];
-
-  const selected: T[] = [];
-  for (let index = 0; index < count; index += 1) {
-    selected.push(values[Math.round((index * (values.length - 1)) / (count - 1))]);
-  }
-  return selected;
-}
-
-function fallbackLogTicks(min: number, max: number, maxTicks: number): number[] {
-  const count = Math.min(maxTicks, 3);
-  const logMin = Math.log(min);
-  const logSpan = Math.log(max) - logMin;
-  const ticks = Array.from({ length: count }, (_, index) => {
-    const value = Math.exp(logMin + (logSpan * index) / Math.max(1, count - 1));
-    return Number(value.toPrecision(2));
-  });
-  return [...new Set(ticks)].filter((value) => value >= min && value <= max);
-}
-
-/**
- * Generate sparse 1-2-5 log ticks instead of D3's dense minor-tick sequence.
- * The callback is evaluated against the current visible domain, including zoom.
- */
-export function sparseLogTicks(domain: number[], maxTicks: number): number[] {
-  const numericDomain = domain.filter((value) => Number.isFinite(value) && value > 0);
-  if (numericDomain.length < 2 || maxTicks <= 0) return [];
-
-  const min = Math.min(...numericDomain);
-  const max = Math.max(...numericDomain);
-  if (min === max) return [min];
-
-  const ticks: number[] = [];
-  const firstExponent = Math.floor(Math.log10(min));
-  const lastExponent = Math.ceil(Math.log10(max));
-
-  for (let exponent = firstExponent; exponent <= lastExponent; exponent += 1) {
-    const magnitude = 10 ** exponent;
-    for (const mantissa of LOG_MANTISSAS) {
-      const value = mantissa * magnitude;
-      if (value >= min && value <= max) ticks.push(value);
-    }
-  }
-
-  const candidates = ticks.length >= 2 ? ticks : fallbackLogTicks(min, max, maxTicks);
-  return evenlySpaced(candidates, maxTicks);
-}
diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
index 9bac3932b..467186e10 100644
--- a/packages/app/src/components/collectivex/data.test.ts
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -5,7 +5,6 @@ import {
   collectiveXColorKey,
   collectiveXSeriesLabel,
   collectiveXTopologyLabel,
-  comparisonDifferences,
   metricValue,
   seriesMatchesSelection,
   type CollectiveXSeriesSelection,
@@ -14,35 +13,30 @@ import { makeCollectiveXDataset, makeCollectiveXSeries } from './test-fixture';
 
 const dataset = makeCollectiveXDataset();
 // series[0]: deepep-v2 EP8 scale-up (nvlink, single node).
-// series[1]: deepep EP16 scale-out (nvlink scale-up + rdma scale-out, two nodes).
+// series[1]: MoRI EP16 scale-out (xGMI scale-up + RDMA scale-out, two nodes).
 const [scaleUp, scaleOut] = dataset.series;
 
 describe('collectiveXTopologyLabel', () => {
   it('shows only the scale-up transport when there is no scale-out fabric', () => {
     expect(collectiveXTopologyLabel(scaleUp.system)).toBe(
-      '1x8 · domain 8 · nvlink · nvlink-domain',
+      '1x8 · domain 8 · nvlink · h200-nvlink-island',
     );
   });
 
   it('joins scale-up and scale-out transports when a scale-out fabric is present', () => {
     expect(collectiveXTopologyLabel(scaleOut.system)).toBe(
-      '2x8 · domain 8 · nvlink+rdma · multi-node',
+      '2x8 · domain 8 · xgmi+rdma · mi355x-xgmi-rdma',
     );
   });
 });
 
 describe('collectiveXSeriesLabel', () => {
-  it('renders the identifying axes of a series', () => {
-    const label = collectiveXSeriesLabel(scaleUp);
-    expect(label.startsWith('H200-DGXC EP8 · deepep-v2 · normal · scale-up')).toBe(true);
-    expect(label).toContain('decode');
-    expect(label).toContain('unversioned');
-    expect(label).toContain('build cccccccc');
+  it('renders the varying identity axes of a series', () => {
+    expect(collectiveXSeriesLabel(scaleUp)).toBe('H200-DGXC · deepep-v2 · EP8 · decode');
   });
 
-  it('shows the backend version when one is present', () => {
-    expect(collectiveXSeriesLabel(scaleOut)).toContain('EP16');
-    expect(collectiveXSeriesLabel(scaleOut)).toContain('2.1');
+  it('shows the selected EP degree and phase', () => {
+    expect(collectiveXSeriesLabel(scaleOut)).toContain('EP16 · decode');
   });
 });
 
@@ -64,28 +58,23 @@ describe('collectiveXColorKey', () => {
     // The chart color system reads the first "_"-separated token to classify the
     // vendor (NVIDIA greens, AMD reds), matching the InferenceX charts.
     expect(collectiveXColorKey(scaleUp).split('_')[0]).toBe('nvidia');
-    const amd = makeCollectiveXSeries({ sku: 'mi355x-oam', vendor: 'amd' });
+    const amd = makeCollectiveXSeries({ sku: 'mi355x', vendor: 'amd' });
     expect(collectiveXColorKey(amd).split('_')[0]).toBe('amd');
   });
 });
 
 describe('seriesMatchesSelection', () => {
   const base: CollectiveXSeriesSelection = {
-    mode: 'normal',
     epSize: 8,
     phase: 'decode',
-    fabricScope: 'all',
   };
 
-  it('matches on mode, ep size, phase, and any fabric scope', () => {
+  it('matches on EP size and phase', () => {
     expect(seriesMatchesSelection(scaleUp, base)).toBe(true);
-    expect(seriesMatchesSelection(scaleUp, { ...base, fabricScope: 'scale-up' })).toBe(true);
   });
 
-  it('rejects a series whose scope, ep, mode, or phase differs from the selection', () => {
-    expect(seriesMatchesSelection(scaleUp, { ...base, fabricScope: 'scale-out' })).toBe(false);
+  it('rejects a series whose EP or phase differs from the selection', () => {
     expect(seriesMatchesSelection(scaleUp, { ...base, epSize: 16 })).toBe(false);
-    expect(seriesMatchesSelection(scaleUp, { ...base, mode: 'low-latency' })).toBe(false);
     expect(seriesMatchesSelection(scaleUp, { ...base, phase: 'prefill' })).toBe(false);
   });
 });
@@ -106,24 +95,19 @@ describe('metricValue', () => {
     expect(metricValue(point, 'dispatch', 'p50', 'tokens-per-second')).toBeNull();
   });
 
-  it('returns the activation and total-logical data rates', () => {
+  it('returns the payload data rate', () => {
     expect(metricValue(point, 'dispatch', 'p50', 'activation-rate')).toBeGreaterThan(0);
-    expect(metricValue(point, 'dispatch', 'p50', 'total-logical-rate')).toBeGreaterThan(0);
   });
 
   it('returns null for an unavailable component', () => {
     const unavailable = makeCollectiveXSeries({ rows: [{ stageUnavailable: true }] }).points[0];
     expect(metricValue(unavailable, 'stage', 'p50', 'latency')).toBeNull();
   });
-
-  it('returns null for a derived component with no byte accounting', () => {
-    expect(metricValue(point, 'isolated-sum', 'p50', 'activation-rate')).toBeNull();
-  });
 });
 
 describe('chartPoints', () => {
   it('emits one point per token row with populated axes', () => {
-    const points = chartPoints([scaleUp], 'dispatch', 'p50', 'tokens-per-rank', 'latency');
+    const points = chartPoints([scaleUp], 'dispatch', 'p50', 'latency');
     expect(points).toHaveLength(scaleUp.points.length);
     for (const point of points) {
       expect(point.seriesId).toBe(scaleUp.series_id);
@@ -135,28 +119,11 @@ describe('chartPoints', () => {
 
   it('drops points whose metric is unavailable', () => {
     // Dispatch has no per-operation token rate, so tokens-per-second is null everywhere.
-    expect(
-      chartPoints([scaleUp], 'dispatch', 'p50', 'tokens-per-rank', 'tokens-per-second'),
-    ).toHaveLength(0);
+    expect(chartPoints([scaleUp], 'dispatch', 'p50', 'tokens-per-second')).toHaveLength(0);
   });
 
   it('keeps roundtrip token-rate points', () => {
-    const points = chartPoints([scaleUp], 'roundtrip', 'p50', 'global-tokens', 'tokens-per-second');
+    const points = chartPoints([scaleUp], 'roundtrip', 'p50', 'tokens-per-second');
     expect(points).toHaveLength(scaleUp.points.length);
   });
 });
-
-describe('comparisonDifferences', () => {
-  it('returns no warnings for a single series or a series compared with itself', () => {
-    expect(comparisonDifferences([scaleUp])).toEqual([]);
-    expect(comparisonDifferences([scaleUp, scaleUp])).toEqual([]);
-  });
-
-  it('flags the dimensions that differ across compared series', () => {
-    const warnings = comparisonDifferences([scaleUp, scaleOut]);
-    expect(warnings).toContain('EP degree');
-    expect(warnings).toContain('fabric scope');
-    expect(warnings).toContain('backend implementation');
-    expect(warnings).toContain('transport');
-  });
-});
diff --git a/packages/app/src/components/collectivex/data.ts b/packages/app/src/components/collectivex/data.ts
index 7d4ad8990..898cbff98 100644
--- a/packages/app/src/components/collectivex/data.ts
+++ b/packages/app/src/components/collectivex/data.ts
@@ -1,24 +1,17 @@
 import type {
   CollectiveXChartPoint,
   CollectiveXComponent,
-  CollectiveXMode,
   CollectiveXOperation,
   CollectiveXPercentile,
   CollectiveXPhase,
   CollectiveXPoint,
   CollectiveXSeries,
-  CollectiveXTopologyScope,
-  CollectiveXXAxis,
   CollectiveXYAxis,
 } from './types';
 
-export type CollectiveXFabricScope = 'all' | CollectiveXTopologyScope;
-
 export interface CollectiveXSeriesSelection {
-  mode: CollectiveXMode;
   epSize: number;
   phase: CollectiveXPhase;
-  fabricScope: CollectiveXFabricScope;
 }
 
 export function collectiveXTopologyLabel(
@@ -39,65 +32,18 @@ export function collectiveXTopologyLabel(
 }
 
 export function collectiveXSeriesLabel(series: CollectiveXSeries): string {
-  const version = series.backend.version ?? 'unversioned';
-  const build = series.build.source_sha.slice(0, 8);
-  const identity = series.series_id.slice(-8);
-  const routing = `${series.workload.routing}${series.workload.eplb ? '+eplb' : ''}`;
-  return `${series.system.sku.toUpperCase()} EP${series.system.ep_size} · ${series.backend.label} · ${series.mode} · ${series.system.scope} · ${series.system.topology_class} · ${series.phase} · ${routing} · ${version} · build ${build} · series ${identity}`;
+  return `${series.system.sku.toUpperCase()} · ${series.backend} · EP${series.system.ep_size} · ${series.phase}`;
 }
 
 export function collectiveXColorKey(series: CollectiveXSeries): string {
-  const routing = `${series.workload.routing}${series.workload.eplb ? '-eplb' : ''}`;
-  const eplb = series.eplb.enabled
-    ? `${series.eplb.planner ?? 'enabled'}-${series.eplb.mapping_sha256 ?? 'unmapped'}-${series.eplb.physical_experts ?? 'auto'}`
-    : 'eplb-off';
-  const units = `${series.resource.comm_units_kind ?? 'units'}-${series.resource.configured_units ?? 'default'}`;
-  // The vendor leads the key so the chart color system (getVendor splits on "_"
-  // and reads the first token) can place each series in its vendor hue zone —
-  // NVIDIA greens, AMD reds — matching the InferenceX charts.
-  return [
-    series.system.vendor,
-    series.system.sku,
-    series.mode,
-    `ep${series.system.ep_size}`,
-    series.system.scope,
-    `${series.system.nodes}x${series.system.gpus_per_node}`,
-    `scaleup${series.system.scale_up_domain}`,
-    series.system.scale_up_transport,
-    series.system.scale_out_transport ?? 'no-scaleout',
-    series.system.topology_class,
-    series.system.transport,
-    series.backend.id,
-    series.backend.generation ?? 'default',
-    series.backend.version ?? 'unversioned',
-    series.build.image,
-    series.build.source_sha,
-    series.build.squash_sha256,
-    routing,
-    JSON.stringify(series.workload.dispatch_precision),
-    JSON.stringify(series.workload.combine_precision),
-    eplb,
-    units,
-  ].join('_');
+  return `${series.system.vendor}_${series.system.sku}_${series.backend}_ep${series.system.ep_size}_${series.phase}`;
 }
 
 export function seriesMatchesSelection(
   series: CollectiveXSeries,
   selection: CollectiveXSeriesSelection,
 ): boolean {
-  return (
-    series.mode === selection.mode &&
-    series.system.ep_size === selection.epSize &&
-    series.phase === selection.phase &&
-    (selection.fabricScope === 'all' || series.system.scope === selection.fabricScope)
-  );
-}
-
-function operationComponent(
-  point: CollectiveXPoint,
-  operation: CollectiveXOperation,
-): CollectiveXComponent | null {
-  return point.components[operation === 'isolated-sum' ? 'isolated_sum' : operation];
+  return series.system.ep_size === selection.epSize && series.phase === selection.phase;
 }
 
 export function metricValue(
@@ -106,30 +52,26 @@ export function metricValue(
   percentile: CollectiveXPercentile,
   yAxis: CollectiveXYAxis,
 ): number | null {
-  const component = operationComponent(point, operation);
+  const component: CollectiveXComponent | null = point.components[operation];
   if (component === null) return null;
-  const latencyUs = component.latency_us[percentile];
-  if (yAxis === 'latency') return latencyUs;
+  if (yAxis === 'latency') return component.latency_us[percentile];
   if (yAxis === 'tokens-per-second') {
     return operation === 'roundtrip'
       ? point.roundtrip_token_rate_at_latency_percentile[percentile]
       : null;
   }
-  return yAxis === 'activation-rate'
-    ? (component.activation_data_rate_gbps_at_latency_percentile?.[percentile] ?? null)
-    : (component.total_logical_data_rate_gbps_at_latency_percentile?.[percentile] ?? null);
+  return component.activation_data_rate_gbps_at_latency_percentile?.[percentile] ?? null;
 }
 
 export function chartPoints(
   series: CollectiveXSeries[],
   operation: CollectiveXOperation,
   percentile: CollectiveXPercentile,
-  xAxis: CollectiveXXAxis,
   yAxis: CollectiveXYAxis,
 ): CollectiveXChartPoint[] {
   return series.flatMap((item) =>
     item.points.flatMap((point) => {
-      const x = xAxis === 'tokens-per-rank' ? point.tokens_per_rank : point.global_tokens;
+      const x = point.tokens_per_rank;
       const y = metricValue(point, operation, percentile, yAxis);
       if (!Number.isFinite(x) || x <= 0 || y === null || y <= 0 || !Number.isFinite(y)) return [];
       return [
@@ -139,69 +81,9 @@ export function chartPoints(
           colorKey: collectiveXColorKey(item),
           x,
           y,
-          operation,
-          percentile,
           point,
-          series: item,
         },
       ];
     }),
   );
 }
-
-export function comparisonDifferences(series: CollectiveXSeries[]): string[] {
-  if (series.length === 0) return [];
-  const warnings: string[] = [];
-  const different = (getValue: (item: CollectiveXSeries) => unknown) =>
-    new Set(series.map(getValue)).size > 1;
-  const checks: [string, (item: CollectiveXSeries) => unknown][] = [
-    ['model', (item) => item.model],
-    ['suite', (item) => item.suite],
-    ['mode', (item) => item.mode],
-    ['phase', (item) => item.phase],
-    ['backend implementation', (item) => JSON.stringify(item.backend)],
-    ['implementation build', (item) => JSON.stringify(item.build)],
-    ['system identity', (item) => `${item.system.sku}/${item.system.vendor}/${item.system.label}`],
-    ['fabric scope', (item) => item.system.scope],
-    ['topology', (item) => collectiveXTopologyLabel(item.system)],
-    ['transport', (item) => item.system.transport],
-    ['world size', (item) => item.system.world_size],
-    ['EP degree', (item) => item.system.ep_size],
-    ['placement', (item) => item.system.placement],
-    ['workload', (item) => item.workload.workload_id],
-    [
-      'model shape',
-      (item) =>
-        `${item.workload.hidden}/${item.workload.top_k}/${item.workload.experts}/${item.workload.activation_profile}`,
-    ],
-    ['routing', (item) => `${item.workload.routing}/${item.workload.eplb}`],
-    ['EPLB plan', (item) => JSON.stringify(item.eplb)],
-    [
-      'dtypes',
-      (item) =>
-        `${JSON.stringify(item.workload.dispatch_precision)}/${JSON.stringify(item.workload.combine_precision)}`,
-    ],
-    ['resource profile', (item) => JSON.stringify(item.resource)],
-    ['measurement', (item) => JSON.stringify(item.measurement)],
-    ['token ladder', (item) => item.points.map((point) => point.tokens_per_rank).join(',')],
-    [
-      'component availability',
-      (item) =>
-        item.points
-          .map((point) =>
-            ['dispatch', 'stage', 'combine', 'roundtrip', 'isolated_sum']
-              .map((name) => point.components[name as keyof typeof point.components] !== null)
-              .join('/'),
-          )
-          .join(','),
-    ],
-    [
-      'correctness',
-      (item) => item.points.map((point) => JSON.stringify(point.correctness)).join(','),
-    ],
-  ];
-  for (const [label, getValue] of checks) {
-    if (different(getValue)) warnings.push(label);
-  }
-  return warnings;
-}
diff --git a/packages/app/src/components/collectivex/full-catalog.v1.json b/packages/app/src/components/collectivex/full-catalog.v1.json
deleted file mode 100644
index 7f3125fe4..000000000
--- a/packages/app/src/components/collectivex/full-catalog.v1.json
+++ /dev/null
@@ -1 +0,0 @@
-{"case_count":322,"cases":[{"backend":"deepep","backend_generation":null,"case_id":"cxcase-v1-dc3957540eca33bff84d3fa31ba305c27ef8c7f0af2960230d168db562260fd6","disposition":"runnable","eplb":false,"label":"H100-DGXC / deepep / EP8 / normal / decode / 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uniform","mode":"low-latency","phase":"decode","points":[{"global_tokens":2048,"tokens_per_rank":128}],"precision_profile":"d-fp8-e4m3fn-b128-f32-fused.c-bf16","publication_tier":"comparable-experimental","reason":null,"required":true,"resource":{"comm_units_kind":null,"configured_units":null,"mode":"fixed-profile","profile":null},"routing":"uniform","sku":"gb200","suite":"ep-precision-low-latency-v1","topology":{"ep_size":16,"gpus_per_node":4,"nodes":4,"scale_out_transport":null,"scale_up_domain":72,"scale_up_transport":"mnnvl","scope":"scale-up","topology_class":"gb200-nvl72-mnnvl","transport":"mnnvl"},"workload":"deepseek-v3-v1"}],"format":"collectivex.frontend-catalog.v1","matrix_sha256":"3048ef24d2d78751321aa5008dd6e2f83c0e6b881fe8d12811a3bfbda6419c9c","point_count":1314,"precision_profiles":{"d-bf16.c-bf16":{"combine":{"alignment_contract":"native-bf16-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"bf16","conversion_boundary":"none","padding_contract":"none","quantization_origin":"none","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"},"dispatch":{"alignment_contract":"native-bf16-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"bf16","conversion_boundary":"none","padding_contract":"none","quantization_origin":"none","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"}},"d-fp8-e4m3fn-b128-f32-fused.c-bf16":{"combine":{"alignment_contract":"native-bf16-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"bf16","conversion_boundary":"none","padding_contract":"none","quantization_origin":"none","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"},"dispatch":{"alignment_contract":"hidden-block-128","api_input_dtype":"bf16","api_output_dtype":"fp8-e4m3fn-with-f32-scale","communication_format":"fp8-e4m3fn","conversion_boundary":"inside-dispatch-timing","padding_contract":"right-zero-pad-hidden-to-128","quantization_origin":"backend-fused","scale_dtype":"f32","scale_group_size":128,"scale_layout":"per-token-hidden-block"}},"d-fp8-e4m3fn-b128-f32-prequantized.c-bf16":{"combine":{"alignment_contract":"native-bf16-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"bf16","conversion_boundary":"none","padding_contract":"none","quantization_origin":"none","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"},"dispatch":{"alignment_contract":"hidden-block-128","api_input_dtype":"fp8-e4m3fn-with-f32-scale","api_output_dtype":"fp8-e4m3fn-with-f32-scale","communication_format":"fp8-e4m3fn","conversion_boundary":"before-dispatch-timing","padding_contract":"right-zero-pad-hidden-to-128","quantization_origin":"caller-prequantized","scale_dtype":"f32","scale_group_size":128,"scale_layout":"per-token-hidden-block"}},"d-fp8-e4m3fnuz-b128-f32-prequantized.c-fp8-e4m3fnuz-direct-cast-noscale":{"combine":{"alignment_contract":"native-fp8-vector-alignment","api_input_dtype":"bf16","api_output_dtype":"bf16","communication_format":"fp8-e4m3fnuz","conversion_boundary":"inside-combine-timing","padding_contract":"none","quantization_origin":"backend-internal-direct-cast","scale_dtype":null,"scale_group_size":null,"scale_layout":"none"},"dispatch":{"alignment_contract":"hidden-block-128","api_input_dtype":"fp8-e4m3fnuz-with-f32-scale","api_output_dtype":"fp8-e4m3fnuz-with-f32-scale","communication_format":"fp8-e4m3fnuz","conversion_boundary":"before-dispatch-timing","padding_contract":"right-zero-pad-hidden-to-128","quantization_origin":"caller-prequantized","scale_dtype":"f32","scale_group_size":128,"scale_layout":"per-token-hidden-block"}}},"schema_version":1}
diff --git a/packages/app/src/components/collectivex/reader.test.ts b/packages/app/src/components/collectivex/reader.test.ts
index f08ed8744..c35370339 100644
--- a/packages/app/src/components/collectivex/reader.test.ts
+++ b/packages/app/src/components/collectivex/reader.test.ts
@@ -1,19 +1,6 @@
-import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
+import { describe, expect, it } from 'vitest';
 
-import {
-  buildDatasetFromNeutral,
-  buildRunSummary,
-  collectiveXAvailabilityReason,
-  collectiveXLatestUrl,
-  collectiveXRunUrl,
-  collectiveXRunsUrl,
-  fetchCollectiveXByRunId,
-  fetchCollectiveXLatest,
-  fetchCollectiveXRuns,
-  parseCollectiveXDataset,
-  parseCollectiveXDatasetText,
-  parseCollectiveXRuns,
-} from './reader';
+import { buildDatasetFromNeutral } from './reader';
 import {
   buildDataset,
   makeCollectiveXDataset,
@@ -24,358 +11,115 @@ import {
   makeRunMeta,
 } from './test-fixture';
 
-const IMAGE_DIGEST = `sha256:${'a'.repeat(64)}`;
-const SOURCE_SHA = 'c'.repeat(40);
-
-function fakeResponse(body: string, status = 200): Response {
+function requestedOf(shard: Record<string, unknown>) {
+  const identity = shard.identity as {
+    case_id: string;
+    case_factors: { sku: string; case: Record<string, unknown> };
+  };
   return {
-    ok: status >= 200 && status < 300,
-    status,
-    text: () => Promise.resolve(body),
-  } as unknown as Response;
+    caseId: identity.case_id,
+    sku: identity.case_factors.sku,
+    disposition: 'runnable' as const,
+    case: identity.case_factors.case,
+  };
 }
 
-// ---------------------------------------------------------------------------
-// Neutral → view assembly
-// ---------------------------------------------------------------------------
-describe('CollectiveX neutral → view assembly', () => {
-  it('assembles a schema-valid view dataset from matrix + shard docs', () => {
+describe('CollectiveX artifact assembly', () => {
+  it('builds the current view from matrix cases and result shards', () => {
     const dataset = makeCollectiveXDataset();
-    expect(dataset.format).toBe('collectivex.view.v1');
-    expect(dataset.schema_version).toBe(1);
-    // Two measured series (deepep-v2 EP8 scale-up + deepep EP16 scale-out).
+    expect(dataset.version).toBe(1);
     expect(dataset.series).toHaveLength(2);
-    // Four requested coverage rows: two measured, one unsupported terminal, one pending.
     expect(dataset.coverage).toHaveLength(4);
+    expect(dataset.run).toMatchObject({
+      requested_cases: 4,
+      measured_cases: 2,
+      unsupported_cases: 1,
+      terminal_cases: 3,
+      measured_points: 20,
+      terminal_points: 30,
+      requested_points: 40,
+    });
   });
 
-  it('counts terminal dispositions across the run envelope', () => {
-    const { run } = makeCollectiveXDataset();
-    expect(run.requested_cases).toBe(4);
-    expect(run.measured_cases).toBe(2);
-    expect(run.unsupported_cases).toBe(1);
-    expect(run.failed_cases).toBe(0);
-    // terminal = every non-pending case (2 measured + 1 unsupported).
-    expect(run.terminal_cases).toBe(3);
-    expect(run.covered_skus).toEqual(['b300-sxm', 'h200-dgxc', 'mi355x-oam']);
-  });
-
-  it('counts measured, terminal, and requested points', () => {
-    const { run } = makeCollectiveXDataset();
-    // Two measured series × two token rows each.
-    expect(run.measured_points).toBe(4);
-    // measured (4) + unsupported ladder (128, 256).
-    expect(run.terminal_points).toBe(6);
-    // measured (4) + unsupported (2) + pending (2).
-    expect(run.requested_points).toBe(8);
-  });
-
-  it('emits one attempt per measured shard', () => {
-    const dataset = makeCollectiveXDataset();
-    expect(dataset.attempts).toHaveLength(2);
-    expect(dataset.attempts.every((attempt) => attempt.outcome === 'success')).toBe(true);
-    // Both success shards share one GHA run+attempt, so one allocation.
-    expect(dataset.run.allocation_count).toBe(1);
-  });
-
-  // Feed the assembler exactly what a run's shard artifact carries: the matrix, a
-  // current-backend case-attempt, and a co-located `samples` dump the reader must drop.
-  interface ShardIdentity {
-    case_id: string;
-    case_factors: { sku: string; case: Record<string, unknown> };
-  }
-  const requestedOf = (shard: Record<string, unknown>) => {
-    const { case_id: caseId, case_factors } = shard.identity as ShardIdentity;
-    return {
-      caseId,
-      sku: case_factors.sku,
-      disposition: 'runnable' as const,
-      case: case_factors.case,
-    };
-  };
-
-  it('assembles measured coverage from a matrix + success case-attempt and ignores a samples doc', () => {
-    const shard = makeRawShard({ backend: 'deepep-v2' });
-    const matrix = makeRawMatrix([requestedOf(shard)]);
-    const samples = { record_type: 'samples', identity: shard.identity, rows: [] };
-    const dataset = buildDatasetFromNeutral(matrix, [shard, samples], makeRunMeta());
-
-    expect(dataset.series).toHaveLength(1);
-    expect(dataset.coverage).toHaveLength(1);
-    expect(dataset.coverage[0].outcome).toBe('success');
-    expect(dataset.coverage[0].points.every((point) => point.terminal_status === 'measured')).toBe(
-      true,
-    );
+  it('maps series identity and points', () => {
+    const series = makeCollectiveXSeries();
+    expect(series.series_id).toBe('h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform');
+    expect(series.backend).toBe('deepep-v2');
+    expect(series.points).toHaveLength(10);
   });
 
-  it('surfaces an invalid case-attempt as an invalid coverage outcome, not pending', () => {
-    const shard = makeInvalidCaseAttempt({ backend: 'deepep-v2' });
+  it('ignores non-result documents', () => {
+    const shard = makeRawShard();
     const dataset = buildDatasetFromNeutral(
       makeRawMatrix([requestedOf(shard)]),
-      [shard],
+      [shard, { record_type: 'samples', rows: [] }],
       makeRunMeta(),
     );
-
-    expect(dataset.series).toHaveLength(0);
-    expect(dataset.coverage[0].outcome).toBe('invalid');
-    expect(dataset.attempts[0].outcome).toBe('invalid');
-  });
-});
-
-// ---------------------------------------------------------------------------
-// Neutral field synthesis (series_id, allocation_id, evidence, build, anomalies)
-// ---------------------------------------------------------------------------
-describe('CollectiveX neutral field synthesis', () => {
-  it('derives series id, allocation id, and evidence id when omitted', () => {
-    const dataset = buildDataset({ shards: [makeRawShard({ runId: '208', runAttempt: '2' })] });
-    const series = dataset.series[0];
-    // No series_id emitted → series key falls back to case_id.
-    expect(series.series_id).toBe('h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform');
-    expect(series.allocation_ids).toEqual(['alloc-208-2']);
-    expect(series.points[0].evidence_ids).toEqual([`ev-${series.points[0].point_id}`]);
-  });
-
-  it('folds provenance into the build and defaults combine quant mode to none', () => {
-    const series = makeCollectiveXSeries();
-    expect(series.build.image).toBe(IMAGE_DIGEST);
-    expect(series.build.source_sha).toBe(SOURCE_SHA);
-    expect(series.build.squash_sha256).toBe('');
-    expect(series.workload.workload_id).toBe('deepseek-v3');
-    expect(series.workload.combine_precision.quant_mode).toBe('none');
-  });
-
-  it('slugifies string and object anomalies into reason ids', () => {
-    const series = makeCollectiveXSeries({
-      rows: [{ anomalies: [{ type: 'Correctness_Drift' }, 'kernel-timeout'] }],
-    });
-    expect(series.points[0].anomalies).toEqual(['correctness-drift', 'kernel-timeout']);
-  });
-
-  it('passes legacy promotion-era identity fields through unchanged', () => {
-    const series = makeCollectiveXSeries({ legacyIdentity: true });
-    expect(series.series_id).toBe(`cxseries-v1-${'d'.repeat(64)}`);
-    expect(series.allocation_ids).toEqual([`cxalloc-v1-${'e'.repeat(64)}`]);
-  });
-});
-
-// ---------------------------------------------------------------------------
-// Component mapping (host-staging zero bytes, unavailable components)
-// ---------------------------------------------------------------------------
-describe('CollectiveX component mapping', () => {
-  it('maps a measured host-staging component with zero logical bytes to a zero rate', () => {
-    const series = makeCollectiveXSeries({ rows: [{ stageZeroBytes: true }] });
-    const stage = series.points[0].components.stage;
-    expect(stage).not.toBeNull();
-    expect(stage?.byte_provenance?.total_logical_bytes).toBe(0);
-    expect(stage?.total_logical_data_rate_gbps_at_latency_percentile?.p50).toBe(0);
-    // Latency stays strictly positive even when the rate collapses to zero.
-    expect(stage?.latency_us.p50).toBeGreaterThan(0);
-  });
-
-  it('drops an unavailable component to null', () => {
-    const series = makeCollectiveXSeries({ rows: [{ stageUnavailable: true }] });
-    expect(series.points[0].components.stage).toBeNull();
-    expect(series.points[0].components.dispatch).not.toBeNull();
-  });
-
-  it('derives isolated_sum with no byte accounting', () => {
-    const series = makeCollectiveXSeries();
-    const isolated = series.points[0].components.isolated_sum;
-    expect(isolated?.origin).toBe('derived');
-    expect(isolated?.byte_provenance).toBeNull();
-    expect(isolated?.activation_data_rate_gbps_at_latency_percentile).toBeNull();
-  });
-});
-
-// ---------------------------------------------------------------------------
-// Terminal / pending coverage
-// ---------------------------------------------------------------------------
-describe('CollectiveX terminal coverage', () => {
-  it('records an unsupported terminal outcome with a reason', () => {
-    const dataset = makeCollectiveXDataset();
-    const unsupported = dataset.coverage.find((row) => row.sku === 'b300-sxm');
-    expect(unsupported?.outcome).toBe('unsupported');
-    expect(unsupported?.reason).toBe('capability-gate');
-    expect(unsupported?.points.every((point) => point.terminal_status === 'unsupported')).toBe(
-      true,
-    );
-  });
-
-  it('records a pending case for a requested case with no shard or terminal doc', () => {
-    const dataset = makeCollectiveXDataset();
-    const pending = dataset.coverage.find((row) => row.sku === 'mi355x-oam');
-    expect(pending?.outcome).toBe('pending');
-    expect(pending?.selected_attempt_id).toBeNull();
-    expect(pending?.attempt_ids).toEqual([]);
+    expect(dataset.series).toHaveLength(1);
   });
 
-  it('surfaces a non-success case-attempt as an in-band invalid outcome, not pending', () => {
-    // The retired terminal-outcome doc is now a `record_type: 'case-attempt'` whose
-    // outcome.status is non-success; it stands in for the case's terminal result.
+  it('normalizes in-band failure reasons', () => {
     const dataset = buildDataset({
-      shards: [makeInvalidCaseAttempt({ sku: 'h100-dgxc', reasons: ['kernel-timeout'] })],
+      shards: [
+        makeInvalidCaseAttempt({ reasons: ['semantic correctness or routing identity failed'] }),
+      ],
     });
-    expect(dataset.attempts).toHaveLength(1);
-    expect(dataset.attempts[0].outcome).toBe('invalid');
-    expect(dataset.coverage).toHaveLength(1);
-    expect(dataset.coverage[0].outcome).toBe('invalid');
-    expect(dataset.coverage[0].reason).toBe('kernel-timeout');
-    // No successful shard → no series is assembled.
     expect(dataset.series).toHaveLength(0);
-  });
-});
-
-// ---------------------------------------------------------------------------
-// Run summary
-// ---------------------------------------------------------------------------
-describe('CollectiveX run summary', () => {
-  it('projects the case-level terminal counts', () => {
-    const summary = buildRunSummary(makeCollectiveXDataset());
-    expect(summary.run_id).toBe('160');
-    expect(summary.terminal_counts).toEqual({ measured: 2, unsupported: 1, failed: 0 });
-    expect(summary.covered_skus).toEqual(['b300-sxm', 'h200-dgxc', 'mi355x-oam']);
-  });
-});
-
-// ---------------------------------------------------------------------------
-// Raw ingest rejections
-// ---------------------------------------------------------------------------
-describe('CollectiveX raw ingest rejections', () => {
-  it('rejects a matrix doc missing its required arrays', () => {
-    expect(() => buildDatasetFromNeutral({ format: 'nope' }, [], makeRunMeta())).toThrow(/matrix/);
-  });
-
-  it('rejects a shard doc missing a required section', () => {
-    const shard = makeRawShard();
-    delete (shard as Record<string, unknown>).topology;
-    const matrix = makeRawMatrix([]);
-    expect(() => buildDatasetFromNeutral(matrix, [shard], makeRunMeta())).toThrow(/shard/);
+    expect(dataset.coverage[0]).toMatchObject({
+      outcome: 'invalid',
+      reason: 'semantic-correctness-or-routing-identity-failed',
+    });
   });
 
-  it('ignores docs whose record_type is not case-attempt (e.g. samples)', () => {
-    const dataset = buildDatasetFromNeutral(
-      makeRawMatrix([]),
-      [{ record_type: 'samples', rows: [] }],
-      makeRunMeta(),
-    );
-    expect(dataset.series).toHaveLength(0);
-    expect(dataset.coverage).toHaveLength(0);
+  it('keeps capacity-limited points omitted by a successful backend', () => {
+    const dataset = buildDataset({
+      shards: [
+        makeRawShard({
+          phase: 'prefill',
+          rows: [{ tokensPerRank: 256 }, { tokensPerRank: 512 }],
+        }),
+      ],
+    });
+    expect(dataset.coverage[0].points.map((point) => point.terminal_status)).toEqual([
+      'measured',
+      'measured',
+      'unsupported',
+      'unsupported',
+    ]);
+    expect(dataset.coverage[0].points.at(-1)).toMatchObject({
+      tokens_per_rank: 2048,
+      reason: 'backend-token-capacity',
+    });
   });
-});
 
-// ---------------------------------------------------------------------------
-// View dataset parsing
-// ---------------------------------------------------------------------------
-describe('CollectiveX view dataset parsing', () => {
-  it('accepts a well-formed view dataset', () => {
+  it('keeps unsupported and pending cases distinct', () => {
     const dataset = makeCollectiveXDataset();
-    expect(parseCollectiveXDataset(dataset).run.run_id).toBe('160');
-  });
-
-  it('rejects an unknown top-level field', () => {
-    const dataset = { ...makeCollectiveXDataset(), surprise: true };
-    expect(() => parseCollectiveXDataset(dataset)).toThrow(/contains unknown field surprise/);
-  });
-
-  it('rejects duplicate JSON keys before schema validation', () => {
-    expect(() => parseCollectiveXDatasetText('{"format":"a","format":"b"}')).toThrow(
-      /contains duplicate key format/,
-    );
-  });
-
-  it('rejects text that is not valid JSON', () => {
-    expect(() => parseCollectiveXDatasetText('{ not json')).toThrow(/not valid JSON/);
-  });
-});
-
-// ---------------------------------------------------------------------------
-// Runs listing parsing
-// ---------------------------------------------------------------------------
-function runsListing(version = 1) {
-  return {
-    format: 'collectivex.runs.v1' as const,
-    version,
-    runs: [buildRunSummary(makeCollectiveXDataset())],
-  };
-}
-
-describe('CollectiveX runs listing parsing', () => {
-  it('accepts a well-formed runs listing for the requested version', () => {
-    const runs = parseCollectiveXRuns(runsListing(1), 1);
-    expect(runs.runs).toHaveLength(1);
-    expect(runs.runs[0].run_id).toBe('160');
-  });
-
-  it('rejects a version mismatch', () => {
-    expect(() => parseCollectiveXRuns(runsListing(2), 1)).toThrow(
-      /does not match the requested version/,
-    );
-  });
-
-  it('rejects a duplicate run id', () => {
-    const listing = runsListing(1);
-    listing.runs = [listing.runs[0], listing.runs[0]];
-    expect(() => parseCollectiveXRuns(listing, 1)).toThrow(/contains duplicate run 160/);
-  });
-});
-
-// ---------------------------------------------------------------------------
-// Client fetch helpers
-// ---------------------------------------------------------------------------
-describe('CollectiveX fetch helpers', () => {
-  const fetchMock = vi.fn();
-
-  beforeEach(() => {
-    vi.stubGlobal('fetch', fetchMock);
-    fetchMock.mockReset();
-  });
-  afterEach(() => {
-    vi.unstubAllGlobals();
-  });
-
-  it('fetches the latest view dataset with no-store caching', async () => {
-    fetchMock.mockResolvedValue(fakeResponse(JSON.stringify(makeCollectiveXDataset())));
-    const resolved = await fetchCollectiveXLatest();
-    expect(resolved.run_id).toBe('160');
-    expect(fetchMock).toHaveBeenCalledWith(
-      collectiveXLatestUrl(1),
-      expect.objectContaining({ cache: 'no-store' }),
-    );
-  });
-
-  it('fetches a run-scoped dataset with force-cache caching', async () => {
-    fetchMock.mockResolvedValue(fakeResponse(JSON.stringify(makeCollectiveXDataset())));
-    await fetchCollectiveXByRunId(1, '160');
-    expect(fetchMock).toHaveBeenCalledWith(
-      collectiveXRunUrl(1, '160'),
-      expect.objectContaining({ cache: 'force-cache' }),
-    );
-  });
-
-  it('rejects a non-integer run id before fetching', async () => {
-    await expect(fetchCollectiveXByRunId(1, 'latest')).rejects.toThrow(/positive integer/);
-    expect(fetchMock).not.toHaveBeenCalled();
-  });
-
-  it('maps a 503 to a source-unavailable reason', async () => {
-    fetchMock.mockResolvedValue(fakeResponse('', 503));
-    const captured = await fetchCollectiveXLatest().catch((error: unknown) => error);
-    expect(collectiveXAvailabilityReason(captured)).toBe('source-unavailable');
+    expect(dataset.coverage.find((row) => row.sku === 'b300')).toMatchObject({
+      outcome: 'unsupported',
+      reason: 'backend-platform-unsupported',
+      detail: 'unsupported by the selected backend/platform',
+    });
+    expect(dataset.coverage.find((row) => row.sku === 'b200-dgxc')).toMatchObject({
+      outcome: 'pending',
+      reason: 'pending',
+    });
   });
 
-  it('maps a 404 to a runs-unavailable reason', async () => {
-    fetchMock.mockResolvedValue(fakeResponse('', 404));
-    const captured = await fetchCollectiveXRuns().catch((error: unknown) => error);
-    expect(collectiveXAvailabilityReason(captured)).toBe('runs-unavailable');
+  it('does not invent rates for zero-byte or unavailable components', () => {
+    const zeroStage = makeCollectiveXSeries({ rows: [{ stageZeroBytes: true }] }).points[0]
+      .components.stage;
+    expect(zeroStage?.activation_data_rate_gbps_at_latency_percentile?.p50).toBe(0);
+    expect(
+      makeCollectiveXSeries({ rows: [{ stageUnavailable: true }] }).points[0].components.stage,
+    ).toBeNull();
   });
 
-  it('fetches and parses the runs listing', async () => {
-    fetchMock.mockResolvedValue(fakeResponse(JSON.stringify(runsListing(1))));
-    const runs = await fetchCollectiveXRuns();
-    expect(runs).toHaveLength(1);
-    expect(fetchMock).toHaveBeenCalledWith(
-      collectiveXRunsUrl(1),
-      expect.objectContaining({ cache: 'no-store' }),
-    );
+  it('rejects malformed and cross-version artifacts', () => {
+    expect(() => buildDatasetFromNeutral({}, [], makeRunMeta())).toThrow(/matrix/);
+    const shard = makeRawShard();
+    shard.version = 2;
+    expect(() =>
+      buildDatasetFromNeutral(makeRawMatrix([requestedOf(shard)]), [shard], makeRunMeta()),
+    ).toThrow(/version/);
   });
 });
diff --git a/packages/app/src/components/collectivex/reader.ts b/packages/app/src/components/collectivex/reader.ts
index 01b0e4f1e..810ee1f7b 100644
--- a/packages/app/src/components/collectivex/reader.ts
+++ b/packages/app/src/components/collectivex/reader.ts
@@ -1,211 +1,103 @@
-import type { ZodError, ZodType } from 'zod';
-
-import {
-  collectiveXDatasetSchema,
-  collectiveXRawCaseAttemptSchema,
-  collectiveXRawMatrixSchema,
-  collectiveXRunsSchema,
-  COLLECTIVEX_DEFAULT_VERSION,
-  type CollectiveXAttempt,
-  type CollectiveXComponent,
-  type CollectiveXCoverage,
-  type CollectiveXCoveragePoint,
-  type CollectiveXDataset,
-  type CollectiveXOutcome,
-  type CollectiveXPoint,
-  type CollectiveXPrecisionAxis,
-  type CollectiveXRawCase,
-  type CollectiveXRawCaseAttempt,
-  type CollectiveXRawRow,
-  type CollectiveXResolvedDataset,
-  type CollectiveXRuns,
-  type CollectiveXRunSummary,
-  type CollectiveXSeries,
-  type CollectiveXTerminalStatus,
-  type CollectiveXVersion,
+import type {
+  CollectiveXComponent,
+  CollectiveXCoverage,
+  CollectiveXCoveragePoint,
+  CollectiveXDataset,
+  CollectiveXOutcome,
+  CollectiveXPercentiles,
+  CollectiveXPoint,
+  CollectiveXRunSummary,
+  CollectiveXSeries,
+  CollectiveXTerminalStatus,
 } from './types';
 
-const collectiveXPublicRoot = (version: CollectiveXVersion) => `/collectivex-data/${version}/`;
-
-export const collectiveXRunsUrl = (version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION) =>
-  `${collectiveXPublicRoot(version)}runs.json`;
-
-export const collectiveXLatestUrl = (version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION) =>
-  `${collectiveXPublicRoot(version)}latest.json`;
-
-export const collectiveXRunUrl = (version: CollectiveXVersion, runId: string) =>
-  `${collectiveXPublicRoot(version)}runs/${runId}.json`;
-
-export type CollectiveXAvailabilityReason = 'source-unavailable' | 'runs-unavailable';
-
-class CollectiveXDataError extends Error {
-  readonly availabilityReason: CollectiveXAvailabilityReason | null;
-
-  constructor(message: string, availabilityReason: CollectiveXAvailabilityReason | null = null) {
-    super(availabilityReason ? message : `CollectiveX dataset rejected: ${message}`);
-    this.name = 'CollectiveXDataError';
-    this.availabilityReason = availabilityReason;
-  }
-}
-
-export function collectiveXAvailabilityReason(
-  error: unknown,
-): CollectiveXAvailabilityReason | null {
-  return error instanceof CollectiveXDataError ? error.availabilityReason : null;
-}
-
-function schemaError(error: ZodError, prefix = '$'): CollectiveXDataError {
-  const issue = error.issues[0];
-  const path = issue?.path.length ? `${prefix}.${issue.path.join('.')}` : prefix;
-  if (issue?.code === 'unrecognized_keys') {
-    return new CollectiveXDataError(`${path} contains unknown field ${issue.keys[0]}.`);
-  }
-  return new CollectiveXDataError(`${path} ${issue?.message ?? 'is malformed'}.`);
-}
-
-function parseWith<T>(schema: ZodType<T>, value: unknown, prefix: string): T {
-  const parsed = schema.safeParse(value);
-  if (!parsed.success) throw schemaError(parsed.error, prefix);
-  return parsed.data;
-}
-
-// Duplicate-key-rejecting JSON parse: the neutral artifacts and the served view
-// datasets must be canonical single-object JSON, so a repeated key is corruption.
-function strictJson(text: string, name: string): unknown {
-  let value: unknown;
-  try {
-    value = JSON.parse(text);
-  } catch {
-    throw new CollectiveXDataError(`${name} is not valid JSON.`);
-  }
-
-  let offset = 0;
-  const whitespace = () => {
-    while (/\s/.test(text[offset] ?? '')) offset += 1;
-  };
-  const string = () => {
-    const start = offset++;
-    while (offset < text.length) {
-      if (text[offset] === '"') {
-        offset += 1;
-        return JSON.parse(text.slice(start, offset)) as string;
-      }
-      if (text[offset] === '\\') offset += text[offset + 1] === 'u' ? 6 : 2;
-      else offset += 1;
-    }
-    throw new CollectiveXDataError(`${name} contains an unterminated string.`);
-  };
-  const parseValue = (): void => {
-    whitespace();
-    if (text[offset] === '{') return object();
-    if (text[offset] === '[') return array();
-    if (text[offset] === '"') return void string();
-    while (offset < text.length && !/[\s,\]}]/.test(text[offset])) offset += 1;
-  };
-  const object = (): void => {
-    const keys = new Set<string>();
-    offset += 1;
-    whitespace();
-    if (text[offset] === '}') return void (offset += 1);
-    while (offset < text.length) {
-      const key = string();
-      if (keys.has(key)) throw new CollectiveXDataError(`${name} contains duplicate key ${key}.`);
-      keys.add(key);
-      whitespace();
-      offset += 1;
-      parseValue();
-      whitespace();
-      if (text[offset] === '}') return void (offset += 1);
-      offset += 1;
-      whitespace();
-    }
-  };
-  const array = (): void => {
-    offset += 1;
-    whitespace();
-    if (text[offset] === ']') return void (offset += 1);
-    while (offset < text.length) {
-      parseValue();
-      whitespace();
-      if (text[offset] === ']') return void (offset += 1);
-      offset += 1;
-    }
+interface RawCase {
+  case_id?: string;
+  backend: string;
+  ep: number;
+  gpus_per_node: number;
+  ladder: string;
+  nodes: number;
+  phase: string;
+  topology_class: string;
+  scale_up_domain: number;
+  scale_up_transport: string;
+  scale_out_transport: string | null;
+}
+
+interface RawComponent {
+  availability: string;
+  percentiles_us: CollectiveXPercentiles | null;
+}
+
+interface RawRow {
+  tokens_per_rank: number;
+  global_tokens: number;
+  token_rate_at_latency_percentile: CollectiveXPercentiles;
+  components: Record<string, RawComponent | null>;
+  byte_provenance: Record<string, { activation_data_bytes: number }>;
+}
+
+interface RawShard {
+  version: number;
+  record_type: 'case-attempt';
+  identity: {
+    case_id: string;
+    case_factors: { sku: string; case: RawCase };
   };
-  parseValue();
-  return value;
-}
-
-// ---------------------------------------------------------------------------
-// View dataset parsing (the run-scoped JSON the route serves + the client reads)
-// ---------------------------------------------------------------------------
-export function parseCollectiveXDataset(value: unknown): CollectiveXDataset {
-  return parseWith(collectiveXDatasetSchema, value, '$');
-}
-
-export function parseCollectiveXDatasetText(text: string): CollectiveXDataset {
-  return parseCollectiveXDataset(strictJson(text, 'dataset'));
+  implementation: { name: string };
+  runtime: { vendor: string };
+  measurement: { rows: RawRow[] };
+  outcome: { status: string; reasons?: string[] };
 }
 
-export function parseCollectiveXRuns(value: unknown, version: CollectiveXVersion): CollectiveXRuns {
-  const parsed = parseWith(collectiveXRunsSchema, value, '$');
-  if (parsed.version !== version) {
-    throw new CollectiveXDataError('$.version does not match the requested version.');
-  }
-  const runIds = new Set<string>();
-  for (const run of parsed.runs) {
-    if (runIds.has(run.run_id)) {
-      throw new CollectiveXDataError(`$.runs contains duplicate run ${run.run_id}.`);
-    }
-    runIds.add(run.run_id);
-  }
-  return parsed;
+interface RawMatrix {
+  version: number;
+  requested_cases: {
+    case: RawCase;
+    sku: string;
+    disposition: 'runnable' | 'unsupported';
+    reason?: string | null;
+    detail?: string | null;
+  }[];
 }
 
-// ---------------------------------------------------------------------------
-// Neutral → view builder
-//
-// Runs server-side (route.ts) over the raw docs collectivex-github.ts downloaded: one matrix
-// doc (identified structurally) plus every `case-attempt` document from the run's shard
-// artifacts, discriminated by `record_type`. `samples` documents are ignored. The backend no
-// longer emits separate terminal-outcome documents; a non-success (`invalid`) case-attempt
-// carries its own terminal outcome in-band. Assembles the neutral view dataset, deriving the
-// data-rate fields the retired publisher used to store. The assembled dataset is validated
-// against the view schema before it is returned, so the served JSON is always schema-valid.
-// ---------------------------------------------------------------------------
 export interface CollectiveXNeutralRunMeta {
   run_id: string;
   run_attempt: number;
   generated_at: string;
   conclusion: string | null;
-  matrix_id: string | null;
-  source_bundle_ids: string[];
+  source_sha: string;
 }
 
-function toOutcome(status: string): CollectiveXOutcome {
-  switch (status) {
-    case 'success':
-    case 'unsupported':
-    case 'failed':
-    case 'invalid':
-    case 'diagnostic':
-    case 'pending': {
-      return status;
-    }
-    default: {
-      return 'failed';
-    }
+function matrixOf(value: unknown): RawMatrix {
+  const matrix = value as RawMatrix;
+  if (!Number.isSafeInteger(matrix?.version) || !Array.isArray(matrix?.requested_cases)) {
+    throw new TypeError('invalid CollectiveX matrix');
   }
+  return matrix;
+}
+
+function shardOf(value: unknown): RawShard | null {
+  if ((value as RawShard | null)?.record_type !== 'case-attempt') return null;
+  const shard = value as RawShard;
+  if (!shard.identity?.case_id || !Array.isArray(shard.measurement?.rows)) {
+    throw new TypeError('invalid CollectiveX shard');
+  }
+  return shard;
+}
+
+function toOutcome(status: string): CollectiveXOutcome {
+  return ['success', 'unsupported', 'failed', 'invalid', 'diagnostic', 'pending'].includes(status)
+    ? (status as CollectiveXOutcome)
+    : 'failed';
 }
 
 function toTerminalStatus(outcome: CollectiveXOutcome): CollectiveXTerminalStatus {
   return outcome === 'success' ? 'measured' : outcome;
 }
 
-function ratesFrom(
-  bytes: number,
-  latency: CollectiveXComponent['latency_us'],
-): CollectiveXComponent['activation_data_rate_gbps_at_latency_percentile'] {
-  // GB/s at percentile p = bytes / latency_us[p]. bytes/µs = 1e6 B/s = 1e-3 GB/s.
+function ratesFrom(bytes: number, latency: CollectiveXPercentiles): CollectiveXPercentiles {
   const rate = (us: number) => (bytes / us) * 1e-3;
   return {
     p50: rate(latency.p50),
@@ -216,320 +108,107 @@ function ratesFrom(
 }
 
 function mapComponent(
-  raw: CollectiveXRawRow['components'][string] | undefined,
-  bytes: CollectiveXRawRow['byte_provenance'][string] | undefined,
+  raw: RawComponent | null | undefined,
+  bytes?: { activation_data_bytes: number },
 ): CollectiveXComponent | null {
-  if (!raw || raw.percentiles_us === null || raw.availability === 'unavailable') return null;
-  const latency_us = raw.percentiles_us;
-  const origin = raw.origin === 'measured' ? 'measured' : 'derived';
-  if (!bytes) {
-    return {
-      origin,
-      latency_us,
-      byte_provenance: null,
-      activation_data_rate_gbps_at_latency_percentile: null,
-      total_logical_data_rate_gbps_at_latency_percentile: null,
-      sample_count: raw.sample_count ?? null,
-    };
-  }
-  const byte_provenance = {
-    activation_data_bytes: bytes.activation_data_bytes,
-    scale_bytes: bytes.scale_bytes ?? 0,
-    total_logical_bytes: bytes.total_logical_bytes,
-  };
-  return {
-    origin,
-    latency_us,
-    byte_provenance,
-    activation_data_rate_gbps_at_latency_percentile: ratesFrom(
-      bytes.activation_data_bytes,
-      latency_us,
-    ),
-    total_logical_data_rate_gbps_at_latency_percentile: ratesFrom(
-      bytes.total_logical_bytes,
-      latency_us,
-    ),
-    sample_count: raw.sample_count ?? null,
-  };
-}
-
-function dispatchPrecision(
-  measurement: CollectiveXRawCaseAttempt['measurement'],
-): CollectiveXPrecisionAxis {
-  return {
-    communication_format: measurement.dispatch_dtype,
-    quant_mode: 'none',
-    semantics: 'dispatch',
-  };
-}
-
-function combinePrecision(
-  measurement: CollectiveXRawCaseAttempt['measurement'],
-): CollectiveXPrecisionAxis {
-  return {
-    communication_format: measurement.combine_dtype,
-    quant_mode: 'none',
-    semantics: measurement.combine_semantics,
-  };
-}
-
-function caseLabel(sku: string, backend: string, phase: string, ep: number): string {
-  return `${sku} · ${backend} · ${phase} · EP${ep}`;
-}
-
-// ---------------------------------------------------------------------------
-// Neutral-format field synthesis
-//
-// The neutral MVP backend trimmed several promotion-era identity fields (series_id,
-// allocation_id, series_factors, per-row evidence_id) and now emits structured anomaly
-// objects. Each helper returns the legacy value when present (the fixtures still carry
-// them) and otherwise derives a stable, view-schema-valid substitute.
-// ---------------------------------------------------------------------------
-function seriesKeyOf(shard: CollectiveXRawCaseAttempt): string {
-  // Retries of a case share its case_id, so case_id is the natural series key when no
-  // explicit series_id was emitted.
-  return shard.identity.series_id ?? shard.identity.case_id;
-}
-
-function allocationIdOf(shard: CollectiveXRawCaseAttempt): string {
-  const { allocation_id, allocation_factors } = shard.identity;
-  if (allocation_id) return allocation_id;
-  // One GHA run+attempt is one allocation; derive a stable, safe-id substitute.
-  return `alloc-${allocation_factors.run_id}-${allocation_factors.run_attempt}`;
-}
-
-function pointIdOf(caseId: string, row: CollectiveXRawRow): string {
-  return row.point_id ?? `${caseId}-t${row.tokens_per_rank}`;
-}
-
-function evidenceIdOf(caseId: string, row: CollectiveXRawRow): string {
-  return row.evidence_id ?? `ev-${pointIdOf(caseId, row)}`;
-}
-
-function seriesBuild(shard: CollectiveXRawCaseAttempt): CollectiveXSeries['build'] {
-  const factors = shard.identity.series_factors;
+  if (!raw?.percentiles_us || raw.availability === 'unavailable') return null;
   return {
-    image: factors?.image_digest ?? shard.provenance.image ?? '',
-    source_sha:
-      factors?.source_sha ??
-      shard.identity.allocation_factors.source_sha ??
-      shard.provenance.source_sha ??
-      '',
-    squash_sha256: factors?.squash_sha256 ?? '',
+    latency_us: raw.percentiles_us,
+    activation_data_rate_gbps_at_latency_percentile: bytes
+      ? ratesFrom(bytes.activation_data_bytes, raw.percentiles_us)
+      : null,
   };
 }
 
-function anomalyReasonId(anomaly: string | Record<string, unknown>): string {
-  const raw =
-    typeof anomaly === 'string'
-      ? anomaly
-      : typeof anomaly.type === 'string'
-        ? anomaly.type
-        : 'anomaly';
-  const slug = raw
-    .toLowerCase()
-    .replaceAll(/[^a-z0-9.-]+/g, '-')
-    .replace(/^[^a-z0-9]+/, '')
-    .slice(0, 96);
-  return slug.length > 0 ? slug : 'anomaly';
-}
-
-function mapAnomalies(anomalies: CollectiveXRawRow['anomalies']): string[] {
-  if (!anomalies) return [];
-  const seen = new Set<string>();
-  for (const anomaly of anomalies) {
-    seen.add(anomalyReasonId(anomaly));
-    if (seen.size >= 16) break;
-  }
-  return [...seen];
-}
-
-function mapPoint(caseId: string, row: CollectiveXRawRow): CollectiveXPoint {
+function mapPoint(row: RawRow): CollectiveXPoint {
+  const component = (name: string) => mapComponent(row.components[name], row.byte_provenance[name]);
   return {
-    point_id: pointIdOf(caseId, row),
     tokens_per_rank: row.tokens_per_rank,
     global_tokens: row.global_tokens,
-    anomalies: mapAnomalies(row.anomalies),
-    correctness: {
-      passed: row.correctness.passed,
-      max_relative_error: row.correctness.max_relative_error,
-    },
-    routing: {
-      fanout_mean: row.routing.fanout_mean,
-      routed_copies: row.routing.routed_copies,
-      recv_tokens_max: row.receive.max,
-      expert_load_cv: row.routing.expert_load_cv,
-      payload_rank_cv: row.routing.payload_rank_cv,
-      hotspot_ratio: row.routing.hotspot_ratio,
-      empty_expert_count: row.routing.empty_expert_count,
-      empty_rank_count: row.routing.empty_rank_count,
-    },
     components: {
-      dispatch: mapComponent(row.components.dispatch, row.byte_provenance.dispatch),
-      stage: mapComponent(row.components.stage, row.byte_provenance.stage),
-      combine: mapComponent(row.components.combine, row.byte_provenance.combine),
-      roundtrip: mapComponent(row.components.roundtrip, row.byte_provenance.roundtrip),
-      isolated_sum: mapComponent(row.components.isolated_sum, row.byte_provenance.isolated_sum),
+      dispatch: component('dispatch'),
+      stage: component('stage'),
+      combine: component('combine'),
+      roundtrip: component('roundtrip'),
     },
     roundtrip_token_rate_at_latency_percentile: row.token_rate_at_latency_percentile,
-    evidence_ids: [evidenceIdOf(caseId, row)],
   };
 }
 
-function buildSeries(shard: CollectiveXRawCaseAttempt): CollectiveXSeries {
-  const { identity, topology, implementation, measurement, runtime } = shard;
-  const kase = identity.case_factors.case;
-  const sku = identity.case_factors.sku;
-  const vendor = runtime.vendor === 'amd' ? 'amd' : 'nvidia';
+function topologyOf(kase: RawCase) {
   return {
-    series_id: seriesKeyOf(shard),
-    label: caseLabel(sku, kase.backend, kase.phase, kase.ep),
-    allocation_ids: [allocationIdOf(shard)],
-    model: kase.workload,
-    suite: kase.suite,
-    mode: kase.mode === 'low-latency' ? 'low-latency' : 'normal',
-    phase: kase.phase === 'prefill' ? 'prefill' : 'decode',
-    backend: {
-      id: identity.series_factors?.backend ?? kase.backend,
-      label: implementation.name,
-      // provenance was retired with EPLB; legacy shards still carry it, the neutral MVP omits it.
-      generation: implementation.provenance?.backend_lineage ?? null,
-      version: implementation.provenance?.deepep_version ?? null,
-    },
-    build: seriesBuild(shard),
-    system: {
-      sku,
-      label: topology.device_product ?? sku,
-      vendor,
-      topology_class: topology.topology_class,
-      transport: topology.transport,
-      scale_up_transport: topology.scale_up_transport,
-      scale_out_transport: topology.scale_out_transport,
-      scope: topology.scope === 'scale-out' ? 'scale-out' : 'scale-up',
-      nodes: topology.nodes,
-      gpus_per_node: topology.gpus_per_node,
-      scale_up_domain: topology.scale_up_domain,
-      world_size: topology.world_size,
-      ep_size: kase.ep,
-      placement: topology.placement,
-    },
-    workload: {
-      workload_id: identity.series_factors?.workload_id ?? kase.workload,
-      hidden: kase.hidden,
-      top_k: kase.topk,
-      experts: kase.experts,
-      routing: kase.routing === 'zipf' ? 'zipf' : 'uniform',
-      // eplb / activation_profile were retired from the neutral backend; default when absent
-      // (activation_profile feeds a required safeId in the view schema, so use a valid slug).
-      eplb: kase.eplb ?? false,
-      dispatch_precision: dispatchPrecision(measurement),
-      combine_precision: combinePrecision(measurement),
-      activation_profile: shard.workload.activation_profile ?? 'fixed-profile',
-    },
-    eplb: {
-      enabled: kase.eplb ?? false,
-      planner: null,
-      logical_experts: kase.experts,
-      physical_experts: null,
-      redundant_experts: 0,
-      reference_tokens_per_rank: null,
-      replicated_experts: null,
-      max_replicas: null,
-      imbalance_before: null,
-      imbalance_after: null,
-      mapping_sha256: null,
-    },
-    resource: {
-      // resource_profile was retired with EPLB; the neutral MVP pins one fixed profile.
-      mode: 'fixed-profile',
-      comm_units_kind: implementation.resource_profile?.comm_units_kind ?? null,
-      configured_units: implementation.resource_profile?.configured_units ?? null,
-    },
-    measurement: {
-      combine_semantics: measurement.combine_semantics,
-      payload_unit: measurement.payload_unit,
-      iters: measurement.sampling.iterations_per_trial,
-      trials: measurement.sampling.trials,
-      warmups: measurement.sampling.warmup_iterations,
-      samples_per_component: measurement.sampling.samples_per_component,
-    },
-    points: measurement.rows.map((row) => mapPoint(identity.case_id, row)),
+    ep_size: kase.ep,
+    nodes: kase.nodes,
+    gpus_per_node: kase.gpus_per_node,
+    scale_up_domain: kase.scale_up_domain,
+    scale_up_transport: kase.scale_up_transport,
+    scale_out_transport: kase.scale_out_transport,
+    topology_class: kase.topology_class,
   };
 }
 
-function successAttempt(shard: CollectiveXRawCaseAttempt): CollectiveXAttempt {
-  const { identity } = shard;
-  const attemptId = `${identity.case_id}-a${String(identity.attempt_ordinal).padStart(2, '0')}`;
+function buildSeries(shard: RawShard): CollectiveXSeries {
+  const kase = shard.identity.case_factors.case;
   return {
-    attempt_id: attemptId,
-    case_id: identity.case_id,
-    allocation_id: allocationIdOf(shard),
-    run_id: identity.allocation_factors.run_id,
-    run_attempt: Number(identity.allocation_factors.run_attempt) || 1,
-    attempt_index: identity.attempt_ordinal,
-    outcome: 'success',
-    failure_mode: null,
-    reason: null,
-    selected: true,
-    evidence: shard.measurement.rows.map((row) => ({
-      evidence_id: evidenceIdOf(identity.case_id, row),
-      point_id: pointIdOf(identity.case_id, row),
-    })),
-  };
-}
-
-// The backend no longer emits standalone terminal-outcome docs; a non-success case-attempt
-// (outcome.status !== 'success') carries its terminal outcome in-band. Its identity has the
-// same full-format ids as a success shard, so the attempt is built the same way with the
-// mapped outcome, no measured evidence, and the first in-band reason.
-function caseAttemptTerminal(shard: CollectiveXRawCaseAttempt): CollectiveXAttempt {
-  const { identity, outcome } = shard;
-  return {
-    attempt_id: `${identity.case_id}-a${String(identity.attempt_ordinal).padStart(2, '0')}`,
-    case_id: identity.case_id,
-    allocation_id: allocationIdOf(shard),
-    run_id: identity.allocation_factors.run_id,
-    run_attempt: Number(identity.allocation_factors.run_attempt) || 1,
-    attempt_index: identity.attempt_ordinal,
-    outcome: toOutcome(outcome.status),
-    failure_mode: null,
-    reason: outcome.reasons?.[0] ?? null,
-    selected: true,
-    evidence: [],
+    series_id: shard.identity.case_id,
+    phase: kase.phase === 'prefill' ? 'prefill' : 'decode',
+    backend: shard.implementation.name,
+    system: {
+      ...topologyOf(kase),
+      sku: shard.identity.case_factors.sku,
+      vendor: shard.runtime.vendor === 'amd' ? 'amd' : 'nvidia',
+    },
+    points: shard.measurement.rows.map(mapPoint),
   };
 }
 
-function ladderTokens(kase: CollectiveXRawCase): number[] {
-  const world = kase.nodes * kase.gpus_per_node;
-  const tokens = kase.ladder
+function ladderTokens(kase: RawCase): number[] {
+  const values = kase.ladder
     .split(/\s+/)
     .map(Number)
     .filter((value) => Number.isSafeInteger(value) && value > 0);
-  return tokens.length > 0 ? tokens : [world];
+  return values.length > 0 ? values : [kase.ep];
 }
 
-function measuredCoveragePoints(shard: CollectiveXRawCaseAttempt): CollectiveXCoveragePoint[] {
-  return shard.measurement.rows.map((row) => ({
-    point_id: pointIdOf(shard.identity.case_id, row),
-    series_id: seriesKeyOf(shard),
-    tokens_per_rank: row.tokens_per_rank,
-    global_tokens: row.global_tokens,
-    terminal_status: 'measured' as const,
-    reason: null,
-  }));
+function reasonId(value: string): string {
+  return (
+    value
+      .toLowerCase()
+      .replaceAll(/[^a-z0-9.-]+/g, '-')
+      .replace(/^[^a-z0-9]+/, '')
+      .slice(0, 96) || 'unknown'
+  );
 }
 
-function terminalCoveragePoints(
-  kase: CollectiveXRawCase,
+function measuredPoints(shard: RawShard, kase: RawCase): CollectiveXCoveragePoint[] {
+  const rows = new Map(shard.measurement.rows.map((row) => [row.tokens_per_rank, row]));
+  const largestMeasured = Math.max(...rows.keys());
+  return ladderTokens(kase).map((tokens) => {
+    const row = rows.get(tokens);
+    return row
+      ? {
+          tokens_per_rank: tokens,
+          global_tokens: row.global_tokens,
+          terminal_status: 'measured',
+          reason: null,
+        }
+      : {
+          tokens_per_rank: tokens,
+          global_tokens: tokens * kase.ep,
+          terminal_status: tokens > largestMeasured ? 'unsupported' : 'pending',
+          reason: tokens > largestMeasured ? 'backend-token-capacity' : 'not-measured',
+        };
+  });
+}
+
+function terminalPoints(
+  kase: RawCase,
   status: CollectiveXTerminalStatus,
   reason: string,
 ): CollectiveXCoveragePoint[] {
-  const world = kase.nodes * kase.gpus_per_node;
   return ladderTokens(kase).map((tokens) => ({
-    point_id: null,
-    series_id: null,
     tokens_per_rank: tokens,
-    global_tokens: tokens * world,
+    global_tokens: tokens * kase.ep,
     terminal_status: status,
     reason,
   }));
@@ -540,250 +219,102 @@ export function buildDatasetFromNeutral(
   docs: unknown[],
   run: CollectiveXNeutralRunMeta,
 ): CollectiveXDataset {
-  const matrix = parseWith(collectiveXRawMatrixSchema, matrixRaw, 'matrix');
-
-  // Discriminate by record_type: only `case-attempt` docs are ingested. `samples` dumps and
-  // any other record type are ignored, as is the matrix doc (handled above).
-  const shards: CollectiveXRawCaseAttempt[] = [];
-  for (const doc of docs) {
-    const recordType = (doc as { record_type?: unknown } | null)?.record_type;
-    if (recordType === 'case-attempt') {
-      shards.push(parseWith(collectiveXRawCaseAttemptSchema, doc, 'shard'));
-    }
-  }
-
-  const successShards = shards.filter((shard) => shard.outcome.status === 'success');
-  const nonSuccessShards = shards.filter((shard) => shard.outcome.status !== 'success');
-  const seriesByCaseId = new Map<string, CollectiveXRawCaseAttempt>();
-  for (const shard of successShards) {
-    if (!seriesByCaseId.has(shard.identity.case_id)) {
-      seriesByCaseId.set(shard.identity.case_id, shard);
-    }
-  }
-  // Non-success case-attempts stand in for the retired terminal-outcome docs: a case with no
-  // successful shard but an `invalid`/`failed` attempt records that terminal outcome.
-  const nonSuccessByCaseId = new Map<string, CollectiveXRawCaseAttempt>();
-  for (const shard of nonSuccessShards) {
-    const caseId = shard.identity.case_id;
-    if (!nonSuccessByCaseId.has(caseId)) nonSuccessByCaseId.set(caseId, shard);
-  }
-
-  // Series: one per distinct successful series key (retries of a case share it).
-  const seriesById = new Map<string, CollectiveXSeries>();
-  for (const shard of successShards) {
-    const key = seriesKeyOf(shard);
-    if (!seriesById.has(key)) {
-      seriesById.set(key, buildSeries(shard));
-    }
+  const matrix = matrixOf(matrixRaw);
+  const shards = docs.flatMap((doc) => {
+    const shard = shardOf(doc);
+    if (!shard) return [];
+    if (shard.version !== matrix.version) throw new Error('CollectiveX version mismatch');
+    return [shard];
+  });
+  const successful = new Map<string, RawShard>();
+  const terminal = new Map<string, RawShard>();
+  for (const shard of shards) {
+    const target = shard.outcome.status === 'success' ? successful : terminal;
+    if (!target.has(shard.identity.case_id)) target.set(shard.identity.case_id, shard);
   }
 
-  // Attempts: every success shard and every non-success case-attempt.
-  const attempts: CollectiveXAttempt[] = [];
-  for (const shard of successShards) attempts.push(successAttempt(shard));
-  for (const shard of nonSuccessShards) attempts.push(caseAttemptTerminal(shard));
-  const attemptsByCaseId = new Map<string, CollectiveXAttempt[]>();
-  for (const attempt of attempts) {
-    attemptsByCaseId.set(attempt.case_id, [
-      ...(attemptsByCaseId.get(attempt.case_id) ?? []),
-      attempt,
-    ]);
-  }
-
-  // Coverage: one row per requested matrix case, joined by case_id.
-  const coverage: CollectiveXCoverage[] = [];
-  for (const requested of matrix.requested_cases) {
+  const coverage: CollectiveXCoverage[] = matrix.requested_cases.flatMap((requested) => {
     const kase = requested.case;
     const caseId = kase.case_id;
-    if (!caseId) continue;
-    const shard = seriesByCaseId.get(caseId);
-    const nonSuccess = nonSuccessByCaseId.get(caseId);
-    const caseAttempts = attemptsByCaseId.get(caseId) ?? [];
-    const attemptIds = caseAttempts.map((attempt) => attempt.attempt_id);
-
-    // failure_mode is not part of the current backend contract (no failure
-    // taxonomy is emitted), so it is always null here.
-    const failureMode: string | null = null;
+    if (!caseId) return [];
+    const measured = successful.get(caseId);
+    const failed = terminal.get(caseId);
     let outcome: CollectiveXOutcome;
-    let points: CollectiveXCoveragePoint[];
-    let selectedAttemptId: string | null = null;
     let reason: string | null;
-
-    if (shard) {
+    let points: CollectiveXCoveragePoint[];
+    if (measured) {
       outcome = 'success';
-      points = measuredCoveragePoints(shard);
-      selectedAttemptId = `${caseId}-a${String(shard.identity.attempt_ordinal).padStart(2, '0')}`;
       reason = null;
-    } else if (nonSuccess) {
-      outcome = toOutcome(nonSuccess.outcome.status);
-      reason = nonSuccess.outcome.reasons?.[0] ?? 'invalid';
-      points = terminalCoveragePoints(kase, toTerminalStatus(outcome), reason);
-      selectedAttemptId = `${caseId}-a${String(nonSuccess.identity.attempt_ordinal).padStart(2, '0')}`;
+      points = measuredPoints(measured, kase);
+    } else if (failed) {
+      outcome = toOutcome(failed.outcome.status);
+      reason = reasonId(failed.outcome.reasons?.[0] ?? outcome);
+      points = terminalPoints(kase, toTerminalStatus(outcome), reason);
     } else if (requested.disposition === 'unsupported') {
       outcome = 'unsupported';
-      reason = requested.reason ?? 'unsupported';
-      points = terminalCoveragePoints(kase, 'unsupported', reason);
+      reason = reasonId(requested.reason ?? outcome);
+      points = terminalPoints(kase, 'unsupported', reason);
     } else {
       outcome = 'pending';
       reason = 'pending';
-      points = terminalCoveragePoints(kase, 'pending', reason);
+      points = terminalPoints(kase, 'pending', reason);
     }
-
-    const measurement = shard?.measurement;
-    coverage.push({
-      case_id: caseId,
-      label: caseLabel(requested.sku, kase.backend, kase.phase, kase.ep),
-      disposition: requested.disposition,
-      sku: requested.sku,
-      backend: kase.backend,
-      backend_generation: shard?.implementation.provenance?.backend_lineage ?? null,
-      mode: kase.mode === 'low-latency' ? 'low-latency' : 'normal',
-      phase: kase.phase === 'prefill' ? 'prefill' : 'decode',
-      routing: kase.routing === 'zipf' ? 'zipf' : 'uniform',
-      eplb: kase.eplb ?? false,
-      dispatch_precision: measurement ? dispatchPrecision(measurement) : null,
-      combine_precision: measurement ? combinePrecision(measurement) : null,
-      resource: {
-        mode: shard ? 'fixed-profile' : null,
-        comm_units_kind: shard?.implementation.resource_profile?.comm_units_kind ?? null,
-        configured_units: shard?.implementation.resource_profile?.configured_units ?? null,
+    return [
+      {
+        case_id: caseId,
+        label: `${requested.sku} · ${kase.backend} · ${kase.phase} · EP${kase.ep}`,
+        disposition: requested.disposition,
+        sku: requested.sku,
+        backend: kase.backend,
+        phase: kase.phase === 'prefill' ? 'prefill' : 'decode',
+        topology: topologyOf(kase),
+        points,
+        outcome,
+        reason,
+        detail: requested.detail ?? null,
       },
-      topology: {
-        ep_size: kase.ep,
-        nodes: kase.nodes,
-        gpus_per_node: kase.gpus_per_node,
-        scale_up_domain: kase.scale_up_domain,
-        scope: kase.scope === 'scale-out' ? 'scale-out' : 'scale-up',
-        scale_up_transport: kase.scale_up_transport,
-        scale_out_transport: kase.scale_out_transport,
-        transport: kase.transport,
-        topology_class: kase.topology_class,
-      },
-      points,
-      selected_attempt_id: selectedAttemptId,
-      outcome,
-      failure_mode: failureMode,
-      reason,
-      attempt_ids: [...new Set(attemptIds)],
-    });
-  }
-
-  const series = [...seriesById.values()];
-  const coveragePoints = coverage.flatMap((item) => item.points);
-  const measuredCases = coverage.filter((item) => item.outcome === 'success').length;
-  const unsupportedCases = coverage.filter((item) => item.outcome === 'unsupported').length;
-  const failedCases = coverage.filter((item) =>
-    ['failed', 'invalid', 'diagnostic'].includes(item.outcome),
-  ).length;
-  const terminalCases = coverage.filter((item) => item.outcome !== 'pending').length;
-  const measuredPoints = coveragePoints.filter(
-    (point) => point.terminal_status === 'measured',
-  ).length;
-  const terminalPoints = coveragePoints.filter(
-    (point) => point.terminal_status !== 'pending',
-  ).length;
-
-  const dataset: CollectiveXDataset = {
-    format: 'collectivex.view.v1',
-    schema_version: 1,
-    generated_at: run.generated_at,
-    source_bundle_ids: [...new Set(run.source_bundle_ids)].toSorted(),
+    ];
+  });
+  const points = coverage.flatMap((item) => item.points);
+  return {
+    version: matrix.version,
     run: {
-      run_id: run.run_id,
-      run_attempt: run.run_attempt,
-      generated_at: run.generated_at,
-      conclusion: run.conclusion,
-      matrix_id: run.matrix_id,
+      ...run,
       requested_cases: coverage.length,
-      terminal_cases: terminalCases,
-      measured_cases: measuredCases,
-      unsupported_cases: unsupportedCases,
-      failed_cases: failedCases,
-      requested_points: coveragePoints.length,
-      terminal_points: terminalPoints,
-      measured_points: measuredPoints,
-      allocation_count: new Set(attempts.map((attempt) => attempt.allocation_id)).size,
+      terminal_cases: coverage.filter((item) =>
+        item.points.every((point) => point.terminal_status !== 'pending'),
+      ).length,
+      measured_cases: coverage.filter((item) => item.outcome === 'success').length,
+      unsupported_cases: coverage.filter((item) => item.outcome === 'unsupported').length,
+      failed_cases: coverage.filter((item) =>
+        ['failed', 'invalid', 'diagnostic'].includes(item.outcome),
+      ).length,
+      requested_points: points.length,
+      terminal_points: points.filter((point) => point.terminal_status !== 'pending').length,
+      measured_points: points.filter((point) => point.terminal_status === 'measured').length,
       covered_skus: [...new Set(coverage.map((item) => item.sku))].toSorted(),
     },
     coverage,
-    attempts,
-    series,
+    series: [...successful.values()].map(buildSeries),
   };
-  return parseCollectiveXDataset(dataset);
 }
 
 export function buildRunSummary(dataset: CollectiveXDataset): CollectiveXRunSummary {
+  const { run } = dataset;
   return {
-    run_id: dataset.run.run_id,
-    run_attempt: dataset.run.run_attempt,
-    generated_at: dataset.run.generated_at,
-    conclusion: dataset.run.conclusion,
-    covered_skus: dataset.run.covered_skus,
+    run_id: run.run_id,
+    run_attempt: run.run_attempt,
+    generated_at: run.generated_at,
+    conclusion: run.conclusion,
+    covered_skus: run.covered_skus,
+    requested_cases: run.requested_cases,
+    measured_cases: run.measured_cases,
+    requested_points: run.requested_points,
+    terminal_points: run.terminal_points,
     terminal_counts: {
-      measured: dataset.run.measured_cases,
-      unsupported: dataset.run.unsupported_cases,
-      failed: dataset.run.failed_cases,
+      measured: run.measured_cases,
+      unsupported: run.unsupported_cases,
+      failed: run.failed_cases,
     },
   };
 }
-
-// ---------------------------------------------------------------------------
-// Client fetch helpers (run-scoped view endpoints)
-// ---------------------------------------------------------------------------
-async function responseOrThrow(url: string, options: RequestInit, name: string): Promise<Response> {
-  const response = await fetch(url, options);
-  if (response.ok) return response;
-  if (response.status === 503) {
-    throw new CollectiveXDataError('source-unavailable', 'source-unavailable');
-  }
-  if (response.status === 404) {
-    throw new CollectiveXDataError('runs-unavailable', 'runs-unavailable');
-  }
-  throw new CollectiveXDataError(`${name} request failed (${response.status}).`);
-}
-
-function resolved(dataset: CollectiveXDataset): CollectiveXResolvedDataset {
-  return { dataset, run_id: dataset.run.run_id, run_attempt: dataset.run.run_attempt };
-}
-
-export async function fetchCollectiveXLatest(
-  signal?: AbortSignal,
-  version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
-): Promise<CollectiveXResolvedDataset> {
-  const response = await responseOrThrow(
-    collectiveXLatestUrl(version),
-    { cache: 'no-store', credentials: 'same-origin', signal },
-    'dataset',
-  );
-  return resolved(parseCollectiveXDatasetText(await response.text()));
-}
-
-export async function fetchCollectiveXByRunId(
-  version: CollectiveXVersion,
-  runId: string,
-  signal?: AbortSignal,
-): Promise<CollectiveXResolvedDataset> {
-  if (!/^[1-9][0-9]*$/.test(runId)) {
-    throw new CollectiveXDataError('a run id must be a positive integer.');
-  }
-  const response = await responseOrThrow(
-    collectiveXRunUrl(version, runId),
-    { cache: 'force-cache', credentials: 'same-origin', signal },
-    'dataset',
-  );
-  return resolved(parseCollectiveXDatasetText(await response.text()));
-}
-
-export async function fetchCollectiveXRuns(
-  version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
-  signal?: AbortSignal,
-): Promise<CollectiveXRunSummary[]> {
-  const response = await responseOrThrow(
-    collectiveXRunsUrl(version),
-    { cache: 'no-store', credentials: 'same-origin', signal },
-    'runs',
-  );
-  const runs = parseCollectiveXRuns(strictJson(await response.text(), 'runs'), version);
-  return runs.runs;
-}
-
-export { CollectiveXDataError };
diff --git a/packages/app/src/components/collectivex/test-fixture.ts b/packages/app/src/components/collectivex/test-fixture.ts
index b39e86b13..24c1ee51e 100644
--- a/packages/app/src/components/collectivex/test-fixture.ts
+++ b/packages/app/src/components/collectivex/test-fixture.ts
@@ -1,36 +1,19 @@
-// Neutral-format test fixtures.
-//
-// The CollectiveX frontend consumes the neutral GitHub artifacts a sweep run uploads: one
-// matrix document (identified structurally) plus `case-attempt` records (discriminated by
-// `record_type`), and assembles the served view dataset with `buildDatasetFromNeutral`.
-// These builders emit those raw artifacts in the current neutral shape (no `format` tags, no
-// retired EPLB/provenance/resource fields) and run them through the real assembler, so a
-// fixture dataset exercises the exact ingest → synthesis → strict-view-validation path the
-// route uses. A non-success case-attempt (`status: 'invalid'`) carries its terminal outcome
-// in-band; the backend no longer emits standalone terminal-outcome documents. Building on the
-// real pipeline also guarantees every returned CollectiveXSeries / CollectiveXDataset is
-// view-schema-valid, which is what the data-helper tests operate on.
-
 import { buildDatasetFromNeutral, type CollectiveXNeutralRunMeta } from './reader';
 import type { CollectiveXDataset, CollectiveXSeries } from './types';
 
-// View-schema-valid provenance primitives.
-const IMAGE_DIGEST = `sha256:${'a'.repeat(64)}`;
-const SQUASH_SHA256 = 'b'.repeat(64);
-const SOURCE_SHA = 'c'.repeat(40);
-
 type Json = Record<string, unknown>;
 
+const SOURCE_SHA = 'c'.repeat(40);
+const TOKEN_LADDERS = {
+  decode: '1 2 4 8 16 32 64 128 256 512',
+  prefill: '256 512 1024 2048',
+} as const;
+
 export interface RowOverrides {
   tokensPerRank?: number;
   globalTokens?: number;
-  anomalies?: (string | Json)[];
-  // Drops the `stage` component to unavailable (null latency) — a two-phase backend.
   stageUnavailable?: boolean;
-  // Keeps `stage` measured but with zero logical bytes (host-staging → rate 0).
   stageZeroBytes?: boolean;
-  correctnessPassed?: boolean;
-  maxRelativeError?: number;
 }
 
 export interface ShardOverrides {
@@ -39,85 +22,40 @@ export interface ShardOverrides {
   sku?: string;
   backend?: string;
   implName?: string;
-  backendLineage?: string | null;
-  deepepVersion?: string | null;
   ep?: number;
-  mode?: string;
   phase?: string;
-  routing?: string;
-  eplb?: boolean;
-  scope?: string;
   scaleUpTransport?: string;
   scaleOutTransport?: string | null;
-  transport?: string;
   topologyClass?: string;
   nodes?: number;
   gpusPerNode?: number;
   scaleUpDomain?: number;
-  worldSize?: number;
-  deviceProduct?: string;
   vendor?: string;
   workload?: string;
-  hidden?: number;
-  topk?: number;
-  experts?: number;
   ladder?: string;
-  suite?: string;
-  runId?: string;
-  runAttempt?: string;
-  attemptOrdinal?: number;
-  sourceSha?: string;
-  imageDigest?: string;
-  squashSha256?: string;
-  dtype?: string;
-  combineDtype?: string;
-  combineSemantics?: string;
-  payloadUnit?: string;
-  activationProfile?: string;
-  resourceClass?: string;
-  commUnitsKind?: string | null;
-  configuredUnits?: number | null;
   status?: string;
-  // In-band failure reasons for a non-success (`invalid`) case-attempt.
   reasons?: string[];
   rows?: RowOverrides[];
-  // Emit the retired promotion-era identity fields so the legacy-passthrough path is
-  // covered (series_id / allocation_id / series_factors present).
-  legacyIdentity?: boolean;
 }
 
-function pct(base: number): Json {
+function percentiles(base: number): Json {
   return { p50: base, p90: base * 1.08, p95: base * 1.12, p99: base * 1.2 };
 }
 
-function component(base: number, sampleCount = 512, origin = 'measured'): Json {
-  return {
-    availability: 'measured',
-    origin,
-    percentiles_us: pct(base),
-    sample_count: sampleCount,
-  };
+function component(base: number): Json {
+  return { availability: 'measured', percentiles_us: percentiles(base) };
 }
 
 function bytes(activation: number): Json {
-  return {
-    activation_data_bytes: activation,
-    scale_bytes: 0,
-    total_logical_bytes: activation,
-  };
+  return { activation_data_bytes: activation };
 }
 
-function makeRawRow(index: number, row: RowOverrides): Json {
+function makeRawRow(index: number, row: RowOverrides, worldSize: number): Json {
   const tokensPerRank = row.tokensPerRank ?? 128 * (index + 1);
   const components: Json = {
     dispatch: component(417 + index),
     combine: component(392 + index),
     roundtrip: component(921 + index),
-    isolated_sum: {
-      availability: 'derived',
-      origin: 'derived-percentile-sum',
-      percentiles_us: pct(809 + index),
-    },
     stage: row.stageUnavailable
       ? { availability: 'unavailable', percentiles_us: null }
       : component(120 + index),
@@ -128,177 +66,68 @@ function makeRawRow(index: number, row: RowOverrides): Json {
     roundtrip: bytes(769527808),
   };
   if (!row.stageUnavailable) {
-    byteProvenance.stage = row.stageZeroBytes ? bytes(0) : bytes(192381952);
+    byteProvenance.stage = bytes(row.stageZeroBytes ? 0 : 192381952);
   }
   return {
     tokens_per_rank: tokensPerRank,
-    global_tokens: row.globalTokens ?? tokensPerRank * 8,
-    anomalies: row.anomalies,
-    correctness: {
-      passed: row.correctnessPassed ?? true,
-      max_relative_error: row.maxRelativeError ?? 0.004,
-    },
-    routing: {
-      fanout_mean: 6.55,
-      routed_copies: 26839,
-      expert_load_cv: 0.084,
-      payload_rank_cv: 0.016,
-      hotspot_ratio: 1.24,
-      empty_expert_count: 0,
-      empty_rank_count: 0,
-    },
-    receive: { max: 1725 },
-    token_rate_at_latency_percentile: pct(8_338_218),
+    global_tokens: row.globalTokens ?? tokensPerRank * worldSize,
+    token_rate_at_latency_percentile: percentiles(8_338_218),
     components,
     byte_provenance: byteProvenance,
   };
 }
 
-function makeRawCase(o: ShardOverrides, caseId: string): Json {
-  const kase: Json = {
+function makeRawCase(options: ShardOverrides, caseId: string): Json {
+  const phase = options.phase === 'prefill' ? 'prefill' : 'decode';
+  return {
     case_id: caseId,
-    backend: o.backend ?? 'deepep-v2',
-    ep: o.ep ?? 8,
-    experts: o.experts ?? 256,
-    gpus_per_node: o.gpusPerNode ?? 8,
-    hidden: o.hidden ?? 7168,
-    topk: o.topk ?? 8,
-    ladder: o.ladder ?? '128 256',
-    mode: o.mode ?? 'normal',
-    nodes: o.nodes ?? 1,
-    phase: o.phase ?? 'decode',
-    routing: o.routing ?? 'uniform',
-    scope: o.scope ?? 'scale-up',
-    suite: o.suite ?? 'mvp',
-    workload: o.workload ?? 'deepseek-v3',
-    transport: o.transport ?? 'nvlink',
-    topology_class: o.topologyClass ?? 'nvlink-domain',
-    scale_up_domain: o.scaleUpDomain ?? 8,
-    scale_up_transport: o.scaleUpTransport ?? 'nvlink',
-    scale_out_transport: o.scaleOutTransport ?? null,
+    backend: options.backend ?? 'deepep-v2',
+    ep: options.ep ?? 8,
+    gpus_per_node: options.gpusPerNode ?? 8,
+    ladder: options.ladder ?? TOKEN_LADDERS[phase],
+    nodes: options.nodes ?? 1,
+    phase,
+    topology_class: options.topologyClass ?? 'h200-nvlink-island',
+    scale_up_domain: options.scaleUpDomain ?? 8,
+    scale_up_transport: options.scaleUpTransport ?? 'nvlink',
+    scale_out_transport: options.scaleOutTransport ?? null,
   };
-  // `eplb` was retired from the neutral case; emit it only for the legacy-passthrough path
-  // or when a test sets it explicitly, to prove the reader still tolerates it.
-  if (o.legacyIdentity || o.eplb !== undefined) kase.eplb = o.eplb ?? false;
-  return kase;
 }
 
-export function caseIdOf(o: ShardOverrides = {}): string {
-  if (o.caseId) return o.caseId;
-  const sku = o.sku ?? 'h200-dgxc';
-  const backend = o.backend ?? 'deepep-v2';
-  const workload = o.workload ?? 'deepseek-v3';
-  const mode = o.mode ?? 'normal';
-  const phase = o.phase ?? 'decode';
-  const ep = o.ep ?? 8;
-  const routing = o.routing ?? 'uniform';
-  const tail = o.variant ? `-${o.variant}` : '';
-  return `${sku}-${backend}-${workload}-${mode}-${phase}-ep${ep}-${routing}${tail}`;
+export function caseIdOf(options: ShardOverrides = {}): string {
+  if (options.caseId) return options.caseId;
+  const tail = options.variant ? `-${options.variant}` : '';
+  return `${options.sku ?? 'h200-dgxc'}-${options.backend ?? 'deepep-v2'}-${options.workload ?? 'deepseek-v3'}-normal-${options.phase ?? 'decode'}-ep${options.ep ?? 8}-uniform${tail}`;
 }
 
-export function makeRawShard(o: ShardOverrides = {}): Json {
-  const caseId = caseIdOf(o);
-  const sku = o.sku ?? 'h200-dgxc';
-  const backend = o.backend ?? 'deepep-v2';
-  const runId = o.runId ?? '160';
-  const runAttempt = o.runAttempt ?? '1';
-  const rowSpecs = o.rows ?? [{}, {}];
-
-  const identity: Json = {
-    case_id: caseId,
-    attempt_ordinal: o.attemptOrdinal ?? 1,
-    case_factors: {
-      sku,
-      case: makeRawCase({ ...o, backend }, caseId),
-    },
-    allocation_factors: {
-      run_id: runId,
-      run_attempt: runAttempt,
-      source_sha: o.sourceSha ?? SOURCE_SHA,
-    },
-  };
-
-  if (o.legacyIdentity) {
-    identity.series_id = `cxseries-v1-${'d'.repeat(64)}`;
-    identity.allocation_id = `cxalloc-v1-${'e'.repeat(64)}`;
-    identity.series_factors = {
-      backend,
-      source_sha: o.sourceSha ?? SOURCE_SHA,
-      image_digest: o.imageDigest ?? IMAGE_DIGEST,
-      squash_sha256: o.squashSha256 ?? SQUASH_SHA256,
-      workload_id: o.workload ?? 'deepseek-v3',
-    };
-  }
-
+export function makeRawShard(options: ShardOverrides = {}): Json {
+  const caseId = caseIdOf(options);
+  const sku = options.sku ?? 'h200-dgxc';
+  const backend = options.backend ?? 'deepep-v2';
+  const phase = options.phase === 'prefill' ? 'prefill' : 'decode';
+  const ladder = options.ladder ?? TOKEN_LADDERS[phase];
+  const worldSize = (options.nodes ?? 1) * (options.gpusPerNode ?? 8);
+  const rows =
+    options.rows ?? ladder.split(/\s+/).map((tokens) => ({ tokensPerRank: Number(tokens) }));
   return {
+    version: 1,
     record_type: 'case-attempt',
-    generated_at: '2026-07-08T12:18:11Z',
-    identity,
-    provenance: { image: o.imageDigest ?? IMAGE_DIGEST, source_sha: o.sourceSha ?? SOURCE_SHA },
-    topology: {
-      device_product: o.deviceProduct,
-      gpus_per_node: o.gpusPerNode ?? 8,
-      nodes: o.nodes ?? 1,
-      placement: 'packed',
-      scale_out_transport: o.scaleOutTransport ?? null,
-      scale_up_domain: o.scaleUpDomain ?? 8,
-      scale_up_transport: o.scaleUpTransport ?? 'nvlink',
-      scope: o.scope ?? 'scale-up',
-      topology_class: o.topologyClass ?? 'nvlink-domain',
-      transport: o.transport ?? 'nvlink',
-      world_size: o.worldSize ?? (o.nodes ?? 1) * (o.gpusPerNode ?? 8),
-    },
-    implementation: {
-      name: o.implName ?? backend,
-      kernel_generation: 'generic',
-      provenance: {
-        deepep_version: o.deepepVersion ?? undefined,
-        backend_lineage: o.backendLineage ?? undefined,
-        mode: o.mode ?? 'normal',
-      },
-      resource_profile: {
-        comm_units_kind: o.commUnitsKind ?? undefined,
-        configured_units: o.configuredUnits ?? undefined,
-        resource_class: o.resourceClass ?? 'fixed-profile',
-      },
-    },
-    runtime: { vendor: o.vendor ?? 'nvidia' },
-    // The neutral backend emits `workload: { cross_rank_consistent }` with no
-    // activation_profile; only legacy shards (or an explicit override) carry it. Default to the
-    // real shape so the ingest path is exercised as the backend actually emits it.
-    workload:
-      o.activationProfile !== undefined || o.legacyIdentity
-        ? { cross_rank_consistent: true, activation_profile: o.activationProfile ?? 'balanced' }
-        : { cross_rank_consistent: true },
-    measurement: {
-      dispatch_dtype: o.dtype ?? 'bf16',
-      combine_dtype: o.combineDtype ?? 'bf16',
-      combine_semantics: o.combineSemantics ?? 'weighted-sum',
-      payload_unit: o.payloadUnit ?? 'tokens',
-      sampling: {
-        iterations_per_trial: 64,
-        trials: 8,
-        warmup_iterations: 16,
-        samples_per_component: 512,
-      },
-      rows: rowSpecs.map((row, index) => makeRawRow(index, row)),
+    identity: {
+      case_id: caseId,
+      case_factors: { sku, case: makeRawCase({ ...options, backend }, caseId) },
     },
+    implementation: { name: options.implName ?? backend },
+    runtime: { vendor: options.vendor ?? 'nvidia' },
+    measurement: { rows: rows.map((row, index) => makeRawRow(index, row, worldSize)) },
     outcome: {
-      status: o.status ?? 'success',
-      // In-band failure reasons for a non-success (`invalid`/`failed`) case-attempt.
-      ...(o.reasons ? { reasons: o.reasons } : {}),
+      status: options.status ?? 'success',
+      ...(options.reasons ? { reasons: options.reasons } : {}),
     },
   };
 }
 
-// A non-success case-attempt. The backend no longer emits a standalone terminal-outcome
-// document; a failed/invalid/unsupported case now carries its terminal outcome in-band on a
-// `record_type: 'case-attempt'` doc whose `outcome.status !== 'success'` and whose
-// `outcome.reasons` lists the failure reasons. Defaults to `invalid`. The raw schema still
-// requires >= 1 measurement row, so the row block is present, but the reader ignores it for a
-// non-success attempt. Overrides flow straight through to `makeRawShard`.
-export function makeInvalidCaseAttempt(o: ShardOverrides = {}): Json {
-  return makeRawShard({ status: 'invalid', reasons: ['capability-gate'], ...o });
+export function makeInvalidCaseAttempt(options: ShardOverrides = {}): Json {
+  return makeRawShard({ status: 'invalid', reasons: ['capability-gate'], ...options });
 }
 
 interface RequestedCaseSpec {
@@ -315,13 +144,10 @@ function requestedFromShard(shard: Json): RequestedCaseSpec {
   return {
     caseId: identity.case_id as string,
     sku: factors.sku as string,
-    disposition: 'runnable',
     case: factors.case as Json,
   };
 }
 
-// The neutral matrix carries no `format`/`schema_version`; it is identified structurally by
-// its `requested_cases[]` + `include[]` arrays and its numeric `version` (collectivex-github.ts).
 export function makeRawMatrix(requested: RequestedCaseSpec[], version = 1): Json {
   return {
     version,
@@ -344,81 +170,66 @@ export function makeRunMeta(
     run_attempt: 1,
     generated_at: '2026-07-08T12:20:00Z',
     conclusion: 'success',
-    matrix_id: 'matrix-160',
-    source_bundle_ids: ['cxshard-h200', 'cxmatrix-160'],
+    source_sha: SOURCE_SHA,
     ...overrides,
   };
 }
 
-export interface BuildDatasetOptions {
-  shards?: Json[];
-  // Extra requested cases beyond those derived from the shards (e.g. a pending case).
-  requestedCases?: RequestedCaseSpec[];
-  meta?: Partial<CollectiveXNeutralRunMeta>;
-}
-
-// Assemble a view dataset through the real neutral → view builder. Requested matrix
-// cases default to one runnable case per shard so measured coverage is populated. Every
-// shard is a `record_type: 'case-attempt'` doc — success shards and in-band non-success
-// (invalid/failed) attempts alike flow through the same channel.
-export function buildDataset(options: BuildDatasetOptions = {}): CollectiveXDataset {
+export function buildDataset(
+  options: {
+    shards?: Json[];
+    requestedCases?: RequestedCaseSpec[];
+    meta?: Partial<CollectiveXNeutralRunMeta>;
+  } = {},
+): CollectiveXDataset {
   const shards = options.shards ?? [makeRawShard()];
   const requested = [...shards.map(requestedFromShard), ...(options.requestedCases ?? [])];
-  const matrix = makeRawMatrix(requested);
-  return buildDatasetFromNeutral(matrix, shards, makeRunMeta(options.meta));
+  return buildDatasetFromNeutral(makeRawMatrix(requested), shards, makeRunMeta(options.meta));
 }
 
-// A single view series, assembled from one measured shard.
 export function makeCollectiveXSeries(overrides: ShardOverrides = {}): CollectiveXSeries {
   return buildDataset({ shards: [makeRawShard(overrides)] }).series[0];
 }
 
-// Canonical multi-series dataset: two measured series (scale-up EP8 + scale-out EP16),
-// one unsupported terminal case, and one pending case. Exercises series/coverage/attempt
-// assembly plus every terminal disposition the run summary counts.
 export function makeCollectiveXDataset(): CollectiveXDataset {
-  const shardA = makeRawShard({ backend: 'deepep-v2', ep: 8 });
+  const shardA = makeRawShard();
   const shardB = makeRawShard({
-    sku: 'h200-dgxc',
-    backend: 'deepep',
-    implName: 'deepep',
-    deepepVersion: '2.1',
-    backendLineage: 'deepep-v2',
+    sku: 'mi355x',
+    backend: 'mori',
+    implName: 'mori',
+    vendor: 'amd',
     ep: 16,
-    scope: 'scale-out',
+    scaleUpTransport: 'xgmi',
     scaleOutTransport: 'rdma',
-    transport: 'rdma',
-    topologyClass: 'multi-node',
+    topologyClass: 'mi355x-xgmi-rdma',
     nodes: 2,
-    gpusPerNode: 8,
-    scaleUpDomain: 8,
   });
-
-  const unsupportedCaseId = 'b300-sxm-deepep-hybrid-deepseek-v3-normal-decode-ep8-uniform';
-  const unsupportedCase: RequestedCaseSpec = {
-    caseId: unsupportedCaseId,
-    sku: 'b300-sxm',
-    disposition: 'unsupported',
-    reason: 'capability-gate',
-    case: makeRawCase(
-      { backend: 'deepep-hybrid', sku: 'b300-sxm', nodes: 1, gpusPerNode: 8 },
-      unsupportedCaseId,
-    ),
-  };
-
-  const pendingCaseId = 'mi355x-oam-deepep-deepseek-v3-normal-decode-ep8-uniform';
-  const pendingCase: RequestedCaseSpec = {
-    caseId: pendingCaseId,
-    sku: 'mi355x-oam',
-    disposition: 'runnable',
-    case: makeRawCase(
-      { backend: 'deepep', sku: 'mi355x-oam', nodes: 1, gpusPerNode: 8 },
-      pendingCaseId,
-    ),
-  };
-
+  const unsupportedId = 'b300-deepep-v2-deepseek-v3-normal-decode-ep16-uniform';
+  const pendingId = 'b200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform';
   return buildDataset({
     shards: [shardA, shardB],
-    requestedCases: [unsupportedCase, pendingCase],
+    requestedCases: [
+      {
+        caseId: unsupportedId,
+        sku: 'b300',
+        disposition: 'unsupported',
+        reason: 'backend-platform-unsupported',
+        case: makeRawCase(
+          {
+            backend: 'deepep-v2',
+            ep: 16,
+            nodes: 2,
+            scaleOutTransport: 'rdma',
+            topologyClass: 'b300-nvlink-rdma',
+          },
+          unsupportedId,
+        ),
+      },
+      {
+        caseId: pendingId,
+        sku: 'b200-dgxc',
+        case: makeRawCase({ backend: 'deepep-v2', topologyClass: 'b200-nvlink-island' }, pendingId),
+      },
+    ],
   });
 }
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
index d7073d526..faff92a2c 100644
--- a/packages/app/src/components/collectivex/types.ts
+++ b/packages/app/src/components/collectivex/types.ts
@@ -1,654 +1,127 @@
-import { z } from 'zod';
-
 export type CollectiveXPhase = 'decode' | 'prefill';
-// The release version is a numeric, incrementable identity (1, 2, 3, ...), matching the
-// backend release marker's "version": N — the single version the neutral backend emits on the
-// matrix and every case-attempt document. (The retired per-artifact `format`/`schema_version`
-// signals are no longer emitted or required.)
 export const COLLECTIVEX_VERSIONS = [1] as const;
 export type CollectiveXVersion = (typeof COLLECTIVEX_VERSIONS)[number];
-export const COLLECTIVEX_DEFAULT_VERSION: CollectiveXVersion = Math.max(
-  ...COLLECTIVEX_VERSIONS,
-) as CollectiveXVersion;
+export const COLLECTIVEX_DEFAULT_VERSION: CollectiveXVersion = COLLECTIVEX_VERSIONS.at(-1)!;
+
 export const collectiveXVersionLabel = (version: CollectiveXVersion): string => `V${version}`;
+
 export function parseCollectiveXVersion(raw: string): CollectiveXVersion | null {
-  if (!/^[1-9][0-9]*$/.test(raw)) return null;
-  const value = Number(raw);
-  return (COLLECTIVEX_VERSIONS as readonly number[]).includes(value)
-    ? (value as CollectiveXVersion)
+  const version = Number(raw);
+  return (COLLECTIVEX_VERSIONS as readonly number[]).includes(version)
+    ? (version as CollectiveXVersion)
     : null;
 }
-export type CollectiveXMode = 'normal' | 'low-latency';
-export type CollectiveXTopologyScope = 'scale-up' | 'scale-out';
-export type CollectiveXOperation = 'dispatch' | 'stage' | 'combine' | 'roundtrip' | 'isolated-sum';
-export type CollectiveXPercentile = 'p50' | 'p90' | 'p95' | 'p99';
-export type CollectiveXXAxis = 'tokens-per-rank' | 'global-tokens';
-export type CollectiveXYAxis =
-  | 'latency'
-  | 'tokens-per-second'
-  | 'activation-rate'
-  | 'total-logical-rate';
-export type CollectiveXScale = 'log' | 'linear';
 
-// ---------------------------------------------------------------------------
-// Shared primitives
-// ---------------------------------------------------------------------------
-const hex64 = z.string().regex(/^[a-f0-9]{64}$/);
-const sourceHash = z.string().regex(/^[a-f0-9]{40,64}$/);
-// Accepts either the legacy content-hash id (`cx<kind>-v1-<hex64>`, still emitted by
-// the promotion-era artifacts the fixtures use) or the neutral MVP backend's
-// human-readable qualification id (e.g. `h200-dgxc-nccl-ep-deepseek-v3-normal-decode-
-// ep8-uniform-2abdb08869ae`, `…-a01`, `…-t1`). Both are globally unique; the human form
-// carries its own qualification-hash suffix. Kept as one helper so every id field keeps
-// a single, consistent contract.
-const typedId = (kind: string) =>
-  z
-    .string()
-    .max(200)
-    .regex(new RegExp(`^(?:cx${kind}-v1-[a-f0-9]{64}|[a-z0-9][a-z0-9_.-]*)$`));
-const safeId = z
-  .string()
-  .max(128)
-  .regex(/^[a-z0-9][a-z0-9_.-]*$/);
-const label = z.string().min(1).max(160);
-const reasonId = z
-  .string()
-  .max(96)
-  .regex(/^[a-z0-9][a-z0-9.-]*$/);
-const reason = reasonId.nullable();
-const timestamp = z.iso.datetime({ offset: true });
-const positiveInteger = z.number().int().safe().positive();
-const nonnegativeInteger = z.number().int().safe().nonnegative();
-const runId = z.string().regex(/^[1-9][0-9]*$/);
-const mode = z.enum(['normal', 'low-latency']);
-const topologyScope = z.enum(['scale-up', 'scale-out']);
-const routingKind = z.enum(['uniform', 'zipf']);
-const phase = z.enum(['decode', 'prefill']);
-const unique = <T>(schema: z.ZodType<T>) =>
-  z.array(schema).refine((items) => new Set(items).size === items.length, 'duplicate values');
-const canonicalJson = (value: unknown): string =>
-  JSON.stringify(
-    value && typeof value === 'object' && !Array.isArray(value)
-      ? Object.fromEntries(
-          Object.entries(value)
-            .toSorted(([left], [right]) => left.localeCompare(right))
-            .map(([key, item]) => [key, JSON.parse(canonicalJson(item))]),
-        )
-      : Array.isArray(value)
-        ? value.map((item) => JSON.parse(canonicalJson(item)))
-        : value,
-  );
-const uniqueObjects = <T>(schema: z.ZodType<T>) =>
-  z
-    .array(schema)
-    .refine((items) => new Set(items.map(canonicalJson)).size === items.length, 'duplicate values');
+export type CollectiveXOperation = 'dispatch' | 'stage' | 'combine' | 'roundtrip';
+export type CollectiveXPercentile = 'p50' | 'p90' | 'p95' | 'p99';
+export type CollectiveXYAxis = 'latency' | 'tokens-per-second' | 'activation-rate';
+export type CollectiveXOutcome =
+  | 'success'
+  | 'unsupported'
+  | 'failed'
+  | 'invalid'
+  | 'diagnostic'
+  | 'pending';
+export type CollectiveXTerminalStatus = Exclude<CollectiveXOutcome, 'success'> | 'measured';
 
-const percentilesSchema = z.strictObject({
-  p50: z.number().finite().positive(),
-  p90: z.number().finite().positive(),
-  p95: z.number().finite().positive(),
-  p99: z.number().finite().positive(),
-});
-// Data-rate percentiles admit 0.0: a host-staging component can have real
-// latency while measuring zero logical bytes (rate = bytes / latency = 0).
-// Latency percentiles stay strictly positive.
-const ratePercentilesSchema = z.strictObject({
-  p50: z.number().finite().nonnegative(),
-  p90: z.number().finite().nonnegative(),
-  p95: z.number().finite().nonnegative(),
-  p99: z.number().finite().nonnegative(),
-});
-const byteAccountingSchema = z.strictObject({
-  activation_data_bytes: nonnegativeInteger,
-  scale_bytes: nonnegativeInteger,
-  total_logical_bytes: nonnegativeInteger,
-});
-// The neutral shard carries only dtype/quant/semantics per communication axis —
-// the promotion-era 9-field communication axis and precision-profile enum are gone.
-const precisionAxisSchema = z.strictObject({
-  communication_format: safeId,
-  quant_mode: safeId,
-  semantics: safeId,
-});
+export type CollectiveXPercentiles = Record<CollectiveXPercentile, number>;
 
-const outcome = z.enum(['success', 'unsupported', 'failed', 'invalid', 'diagnostic', 'pending']);
-const terminalStatus = z.enum([
-  'measured',
-  'unsupported',
-  'failed',
-  'invalid',
-  'diagnostic',
-  'pending',
-]);
+export interface CollectiveXComponent {
+  latency_us: CollectiveXPercentiles;
+  activation_data_rate_gbps_at_latency_percentile: CollectiveXPercentiles | null;
+}
 
-// ---------------------------------------------------------------------------
-// View model — series / points / components
-//
-// Reshaped-in-place from the retired promoted dataset: the same series → points →
-// components shape the chart/tables/inventory render, but every field is now something
-// the neutral cxshard/matrix artifacts actually carry (plus data rates the reader
-// derives from byte_provenance ÷ latency). No promotion, ranking, or eligibility layer.
-// ---------------------------------------------------------------------------
-const componentSchema = z.strictObject({
-  origin: z.enum(['measured', 'derived']),
-  latency_us: percentilesSchema,
-  // null for derived components (isolated_sum) — no byte accounting exists.
-  byte_provenance: byteAccountingSchema.nullable(),
-  activation_data_rate_gbps_at_latency_percentile: ratePercentilesSchema.nullable(),
-  total_logical_data_rate_gbps_at_latency_percentile: ratePercentilesSchema.nullable(),
-  sample_count: nonnegativeInteger.nullable(),
-});
-const routingSchema = z.strictObject({
-  fanout_mean: z.number().finite().nonnegative(),
-  routed_copies: nonnegativeInteger,
-  recv_tokens_max: nonnegativeInteger,
-  expert_load_cv: z.number().finite().nonnegative(),
-  payload_rank_cv: z.number().finite().nonnegative(),
-  hotspot_ratio: z.number().finite().nonnegative(),
-  empty_expert_count: nonnegativeInteger,
-  empty_rank_count: nonnegativeInteger,
-});
-const pointCorrectnessSchema = z.strictObject({
-  passed: z.boolean(),
-  max_relative_error: z.number().finite().nonnegative(),
-});
-const pointSchema = z.strictObject({
-  point_id: typedId('point'),
-  tokens_per_rank: positiveInteger,
-  global_tokens: positiveInteger,
-  anomalies: unique(reasonId).max(16),
-  correctness: pointCorrectnessSchema,
-  routing: routingSchema,
-  components: z.strictObject({
-    dispatch: componentSchema.nullable(),
-    stage: componentSchema.nullable(),
-    combine: componentSchema.nullable(),
-    roundtrip: componentSchema.nullable(),
-    isolated_sum: componentSchema.nullable(),
-  }),
-  roundtrip_token_rate_at_latency_percentile: ratePercentilesSchema,
-  evidence_ids: unique(typedId('evidence')).min(1),
-});
-const seriesSchema = z.strictObject({
-  series_id: typedId('series'),
-  label,
-  allocation_ids: unique(typedId('allocation')).min(1),
-  model: safeId,
-  suite: safeId,
-  mode,
-  phase,
-  backend: z.strictObject({
-    id: safeId,
-    label,
-    generation: label.nullable(),
-    version: label.nullable(),
-  }),
-  build: z.strictObject({
-    image: z.string(),
-    source_sha: sourceHash,
-    squash_sha256: z.string(),
-  }),
-  system: z.strictObject({
-    sku: safeId,
-    label,
-    vendor: z.enum(['nvidia', 'amd']),
-    topology_class: safeId,
-    transport: safeId,
-    scale_up_transport: safeId,
-    scale_out_transport: safeId.nullable(),
-    scope: topologyScope,
-    nodes: positiveInteger,
-    gpus_per_node: positiveInteger,
-    scale_up_domain: positiveInteger,
-    world_size: positiveInteger,
-    ep_size: positiveInteger,
-    placement: safeId,
-  }),
-  workload: z.strictObject({
-    workload_id: typedId('work'),
-    hidden: positiveInteger,
-    top_k: positiveInteger,
-    experts: positiveInteger,
-    routing: routingKind,
-    eplb: z.boolean(),
-    dispatch_precision: precisionAxisSchema,
-    combine_precision: precisionAxisSchema,
-    activation_profile: safeId,
-  }),
-  eplb: z.strictObject({
-    enabled: z.boolean(),
-    planner: label.nullable(),
-    logical_experts: positiveInteger,
-    physical_experts: positiveInteger.nullable(),
-    redundant_experts: nonnegativeInteger,
-    reference_tokens_per_rank: positiveInteger.nullable(),
-    replicated_experts: nonnegativeInteger.nullable(),
-    max_replicas: nonnegativeInteger.nullable(),
-    imbalance_before: z.number().finite().nonnegative().nullable(),
-    imbalance_after: z.number().finite().nonnegative().nullable(),
-    mapping_sha256: hex64.nullable(),
-  }),
-  resource: z.strictObject({
-    mode: safeId,
-    comm_units_kind: label.nullable(),
-    configured_units: positiveInteger.nullable(),
-  }),
-  measurement: z.strictObject({
-    combine_semantics: safeId,
-    payload_unit: safeId,
-    iters: positiveInteger,
-    trials: positiveInteger,
-    warmups: nonnegativeInteger,
-    samples_per_component: positiveInteger,
-  }),
-  points: z.array(pointSchema).min(1),
-});
+export interface CollectiveXPoint {
+  tokens_per_rank: number;
+  global_tokens: number;
+  components: Record<CollectiveXOperation, CollectiveXComponent | null>;
+  roundtrip_token_rate_at_latency_percentile: CollectiveXPercentiles;
+}
 
-// ---------------------------------------------------------------------------
-// View model — coverage / attempts (one coverage row per requested matrix case)
-// ---------------------------------------------------------------------------
-const coverageResourceSchema = z.strictObject({
-  // All nullable: unsupported/pending cases carry no resource profile (that lives
-  // only in a measured shard); measured coverage rows fill it from the shard.
-  mode: safeId.nullable(),
-  comm_units_kind: label.nullable(),
-  configured_units: positiveInteger.nullable(),
-});
-const coverageTopologySchema = z.strictObject({
-  ep_size: positiveInteger,
-  nodes: positiveInteger,
-  gpus_per_node: positiveInteger,
-  scale_up_domain: positiveInteger,
-  scope: topologyScope,
-  scale_up_transport: safeId,
-  scale_out_transport: safeId.nullable(),
-  transport: safeId,
-  topology_class: safeId,
-});
-const coveragePointSchema = z
-  .strictObject({
-    point_id: typedId('point').nullable(),
-    series_id: typedId('series').nullable(),
-    tokens_per_rank: positiveInteger,
-    global_tokens: positiveInteger,
-    terminal_status: terminalStatus,
-    reason,
-  })
-  .superRefine((value, context) => {
-    const measured = value.terminal_status === 'measured';
-    if (measured && (value.point_id === null || value.series_id === null)) {
-      context.addIssue({
-        code: 'custom',
-        path: ['point_id'],
-        message: 'measured points require point/series references',
-      });
-    }
-    if (!measured && (value.point_id !== null || value.series_id !== null)) {
-      context.addIssue({
-        code: 'custom',
-        path: ['point_id'],
-        message: 'non-measured points must not carry point/series references',
-      });
-    }
-    if (measured && value.reason !== null) {
-      context.addIssue({
-        code: 'custom',
-        path: ['reason'],
-        message: 'measured points must not carry a reason',
-      });
-    }
-    if (!measured && value.reason === null) {
-      context.addIssue({
-        code: 'custom',
-        path: ['reason'],
-        message: 'non-measured points require a reason',
-      });
-    }
-  });
-const coverageSchema = z.strictObject({
-  case_id: typedId('case'),
-  label,
-  disposition: z.enum(['runnable', 'unsupported']),
-  sku: safeId,
-  backend: safeId,
-  backend_generation: label.nullable(),
-  mode,
-  phase,
-  routing: routingKind,
-  eplb: z.boolean(),
-  dispatch_precision: precisionAxisSchema.nullable(),
-  combine_precision: precisionAxisSchema.nullable(),
-  resource: coverageResourceSchema,
-  topology: coverageTopologySchema,
-  points: uniqueObjects(coveragePointSchema).min(1),
-  selected_attempt_id: typedId('attempt').nullable(),
-  outcome,
-  failure_mode: reason,
-  reason,
-  attempt_ids: unique(typedId('attempt')),
-});
-const attemptSchema = z.strictObject({
-  attempt_id: typedId('attempt'),
-  case_id: typedId('case'),
-  allocation_id: typedId('allocation'),
-  run_id: runId,
-  run_attempt: positiveInteger,
-  attempt_index: positiveInteger,
-  outcome,
-  failure_mode: reason,
-  reason,
-  selected: z.boolean(),
-  evidence: z
-    .array(
-      z.strictObject({
-        evidence_id: typedId('evidence'),
-        point_id: typedId('point'),
-      }),
-    )
-    .refine(
-      (items) =>
-        new Set(items.map((item) => `${item.evidence_id}\0${item.point_id}`)).size === items.length,
-      'duplicate evidence items',
-    ),
-});
+export interface CollectiveXTopology {
+  ep_size: number;
+  nodes: number;
+  gpus_per_node: number;
+  scale_up_domain: number;
+  scale_up_transport: string;
+  scale_out_transport: string | null;
+  topology_class: string;
+}
 
-// ---------------------------------------------------------------------------
-// Run metadata + dataset envelope
-// ---------------------------------------------------------------------------
-export const collectiveXRunSchema = z.strictObject({
-  run_id: runId,
-  run_attempt: positiveInteger,
-  generated_at: timestamp,
-  // GitHub Actions run conclusion; null while in progress. Discovery never gates on it.
-  conclusion: safeId.nullable(),
-  matrix_id: safeId.nullable(),
-  requested_cases: nonnegativeInteger,
-  terminal_cases: nonnegativeInteger,
-  measured_cases: nonnegativeInteger,
-  unsupported_cases: nonnegativeInteger,
-  failed_cases: nonnegativeInteger,
-  requested_points: nonnegativeInteger,
-  terminal_points: nonnegativeInteger,
-  measured_points: nonnegativeInteger,
-  allocation_count: nonnegativeInteger,
-  covered_skus: unique(safeId),
-});
-export const collectiveXDatasetSchema = z.strictObject({
-  format: z.literal('collectivex.view.v1'),
-  schema_version: z.literal(1),
-  generated_at: timestamp,
-  source_bundle_ids: unique(safeId),
-  run: collectiveXRunSchema,
-  coverage: z.array(coverageSchema),
-  attempts: z.array(attemptSchema),
-  series: z.array(seriesSchema),
-});
+export interface CollectiveXSeries {
+  series_id: string;
+  phase: CollectiveXPhase;
+  backend: string;
+  system: CollectiveXTopology & {
+    sku: string;
+    vendor: 'nvidia' | 'amd';
+  };
+  points: CollectiveXPoint[];
+}
 
-// Run picker listing — keyed by run_id + attempt (no content digest).
-export const collectiveXRunSummarySchema = z.strictObject({
-  run_id: runId,
-  run_attempt: positiveInteger,
-  generated_at: timestamp,
-  conclusion: safeId.nullable(),
-  covered_skus: unique(safeId),
-  terminal_counts: z.strictObject({
-    measured: nonnegativeInteger,
-    unsupported: nonnegativeInteger,
-    failed: nonnegativeInteger,
-  }),
-});
-export const collectiveXRunsSchema = z.strictObject({
-  format: z.literal('collectivex.runs.v1'),
-  version: positiveInteger,
-  runs: z.array(collectiveXRunSummarySchema),
-});
+export interface CollectiveXCoveragePoint {
+  tokens_per_rank: number;
+  global_tokens: number;
+  terminal_status: CollectiveXTerminalStatus;
+  reason: string | null;
+}
 
-// ---------------------------------------------------------------------------
-// Raw neutral artifact ingest schemas (server-side only, lenient).
-//
-// These validate the consumed subset of the three neutral artifact formats the
-// reader downloads. Plain z.object strips unknown keys, so the reader stays
-// tolerant of extra/future fields (e.g. a later top-level `version: N`).
-// ---------------------------------------------------------------------------
-const rawPercentilesSchema = z.object({
-  p50: z.number(),
-  p90: z.number(),
-  p95: z.number(),
-  p99: z.number(),
-});
-const rawCaseSchema = z.object({
-  case_id: z.string().optional(),
-  backend: z.string(),
-  ep: positiveInteger,
-  // Retired with EPLB removal in the neutral backend; still accepted from legacy shards.
-  eplb: z.boolean().optional(),
-  experts: positiveInteger,
-  gpus_per_node: positiveInteger,
-  hidden: positiveInteger,
-  topk: positiveInteger,
-  ladder: z.string(),
-  mode: z.string(),
-  nodes: positiveInteger,
-  phase: z.string(),
-  routing: z.string(),
-  scope: z.string(),
-  suite: z.string(),
-  workload: z.string(),
-  transport: z.string(),
-  topology_class: z.string(),
-  scale_up_domain: positiveInteger,
-  scale_up_transport: z.string(),
-  scale_out_transport: z.string().nullable(),
-});
-const rawTopologySchema = z.object({
-  device_product: z.string().optional(),
-  gpus_per_node: positiveInteger,
-  nodes: positiveInteger,
-  placement: z.string(),
-  scale_out_transport: z.string().nullable(),
-  scale_up_domain: positiveInteger,
-  scale_up_transport: z.string(),
-  scope: z.string(),
-  topology_class: z.string(),
-  transport: z.string(),
-  world_size: positiveInteger,
-});
-const rawImplementationSchema = z.object({
-  name: z.string(),
-  kernel_generation: z.string(),
-  // Both objects were dropped with backend-implementation-provenance/EPLB removal; the neutral
-  // backend emits `implementation = {name, kernel_generation}`. Kept optional so legacy shards
-  // that still carry them pass through (the reader reads them defensively).
-  provenance: z
-    .object({
-      deepep_version: z.string().optional(),
-      deepep_commit: z.string().optional(),
-      backend_lineage: z.string().optional(),
-      mode: z.string().optional(),
-    })
-    .optional(),
-  resource_profile: z
-    .object({
-      comm_units_kind: z.string().nullable().optional(),
-      configured_units: positiveInteger.nullable().optional(),
-      conformance_class: z.string().optional(),
-      resource_class: z.string().optional(),
-    })
-    .optional(),
-});
-const rawComponentSchema = z.object({
-  origin: z.string().nullable().optional(),
-  availability: z.string(),
-  // null for unavailable components (e.g. `stage` on a two-phase backend).
-  percentiles_us: rawPercentilesSchema.nullable(),
-  sample_count: nonnegativeInteger.optional(),
-});
-const rawByteAccountingSchema = z.object({
-  activation_data_bytes: nonnegativeInteger,
-  scale_bytes: nonnegativeInteger.optional(),
-  total_logical_bytes: nonnegativeInteger,
-});
-const rawRowSchema = z.object({
-  point_id: z.string().optional(),
-  // Legacy shards carry a content-hash evidence id; neutral shards identify a row's
-  // evidence by its sample digest instead, so the reader synthesizes one from point_id.
-  evidence_id: z.string().optional(),
-  sample_sha256: z.string().optional(),
-  tokens_per_rank: positiveInteger,
-  global_tokens: positiveInteger,
-  // Legacy shards list anomalies as reason-id strings; neutral shards emit structured
-  // objects ({type, ...}). The reader slugifies both to reason ids.
-  anomalies: z.array(z.union([z.string(), z.record(z.string(), z.unknown())])).optional(),
-  correctness: z.object({
-    passed: z.boolean(),
-    max_relative_error: z.number(),
-  }),
-  routing: z.object({
-    fanout_mean: z.number(),
-    routed_copies: nonnegativeInteger,
-    expert_load_cv: z.number(),
-    payload_rank_cv: z.number(),
-    hotspot_ratio: z.number(),
-    empty_expert_count: nonnegativeInteger,
-    empty_rank_count: nonnegativeInteger,
-  }),
-  receive: z.object({ max: nonnegativeInteger }),
-  token_rate_at_latency_percentile: rawPercentilesSchema,
-  components: z.record(z.string(), rawComponentSchema.nullable()),
-  byte_provenance: z.record(z.string(), rawByteAccountingSchema),
-});
-export const collectiveXRawCaseAttemptSchema = z.object({
-  // `record_type` is the neutral discriminator; the retired `format` string is no longer
-  // emitted or required.
-  record_type: z.literal('case-attempt'),
-  generated_at: z.string(),
-  identity: z.object({
-    // series_id/allocation_id/series_factors are legacy promotion-era fields. The neutral
-    // MVP backend omits them; the reader derives series identity from case_id and series
-    // factors from provenance/case below.
-    series_id: z.string().optional(),
-    case_id: z.string(),
-    allocation_id: z.string().optional(),
-    attempt_ordinal: positiveInteger,
-    series_factors: z
-      .object({
-        backend: z.string(),
-        source_sha: z.string(),
-        image_digest: z.string(),
-        squash_sha256: z.string(),
-        workload_id: z.string(),
-      })
-      .optional(),
-    case_factors: z.object({
-      sku: z.string(),
-      case: rawCaseSchema,
-    }),
-    allocation_factors: z.object({
-      run_id: z.string(),
-      run_attempt: z.string(),
-      source_sha: z.string().optional(),
-    }),
-  }),
-  provenance: z.object({ image: z.string().nullable(), source_sha: z.string().nullable() }),
-  topology: rawTopologySchema,
-  implementation: rawImplementationSchema,
-  runtime: z.object({ vendor: z.string() }).passthrough(),
-  // The neutral backend emits `workload: { cross_rank_consistent }`; the promotion-era
-  // `activation_profile` string is no longer produced (only legacy shards carry it), so it is
-  // optional here and defaulted in the reader.
-  workload: z
-    .object({
-      cross_rank_consistent: z.boolean().optional(),
-      activation_profile: z.string().optional(),
-    })
-    .passthrough(),
-  measurement: z.object({
-    dispatch_dtype: z.string(),
-    combine_dtype: z.string(),
-    combine_semantics: z.string(),
-    payload_unit: z.string(),
-    sampling: z.object({
-      iterations_per_trial: positiveInteger,
-      trials: positiveInteger,
-      warmup_iterations: nonnegativeInteger,
-      samples_per_component: positiveInteger,
-    }),
-    rows: z.array(rawRowSchema).min(1),
-  }),
-  // `outcome.reasons` carries the in-band failure reasons for a non-success (`invalid`)
-  // case-attempt, now that separate terminal-outcome documents are no longer emitted.
-  outcome: z.object({
-    status: z.string(),
-    reasons: z.array(z.string()).optional(),
-  }),
-});
-const rawMatrixIncludeSchema = z.object({
-  id: z.string(),
-  sku: z.string(),
-  backend: z.string(),
-  n: nonnegativeInteger,
-  nodes: positiveInteger,
-  gpus_per_node: positiveInteger,
-  launcher: z.string(),
-  scope: z.string(),
-  topology_class: z.string(),
-  transport: z.string(),
-  scale_up_domain: positiveInteger.optional(),
-  scale_up_transport: z.string().nullable().optional(),
-  scale_out_transport: z.string().nullable().optional(),
-  case_ids: z.array(z.string()),
-  execution_weight: nonnegativeInteger.optional(),
-});
-const rawRequestedCaseSchema = z.object({
-  case: rawCaseSchema,
-  sku: z.string(),
-  disposition: z.enum(['runnable', 'unsupported']),
-  reason: z.string().nullable().optional(),
-  detail: z.string().nullable().optional(),
-});
-// The neutral matrix carries no `format`/`record_type`; it is identified structurally by its
-// `requested_cases`/`include` arrays and its numeric `version` (see collectivex-github.ts).
-export const collectiveXRawMatrixSchema = z.object({
-  version: positiveInteger.optional(),
-  include: z.array(rawMatrixIncludeSchema),
-  requested_cases: z.array(rawRequestedCaseSchema),
-});
+export interface CollectiveXCoverage {
+  case_id: string;
+  label: string;
+  disposition: 'runnable' | 'unsupported';
+  sku: string;
+  backend: string;
+  phase: CollectiveXPhase;
+  topology: CollectiveXTopology;
+  points: CollectiveXCoveragePoint[];
+  outcome: CollectiveXOutcome;
+  reason: string | null;
+  detail: string | null;
+}
 
-// ---------------------------------------------------------------------------
-// Inferred types
-// ---------------------------------------------------------------------------
-export type CollectiveXRunSummary = z.infer<typeof collectiveXRunSummarySchema>;
-export type CollectiveXRuns = z.infer<typeof collectiveXRunsSchema>;
-export type CollectiveXDataset = z.infer<typeof collectiveXDatasetSchema>;
-export type CollectiveXComponent = z.infer<typeof componentSchema>;
-export type CollectiveXPrecisionAxis = z.infer<typeof precisionAxisSchema>;
-// Retained export name (shape slimmed to {communication_format, quant_mode, semantics}).
-export type CollectiveXCommunicationAxis = CollectiveXPrecisionAxis;
-export type CollectiveXPoint = z.infer<typeof pointSchema>;
-export type CollectiveXSeries = z.infer<typeof seriesSchema>;
-export type CollectiveXCoverage = z.infer<typeof coverageSchema>;
-export type CollectiveXCoveragePoint = z.infer<typeof coveragePointSchema>;
-export type CollectiveXTerminalStatus = z.infer<typeof terminalStatus>;
-export type CollectiveXAttempt = z.infer<typeof attemptSchema>;
-export type CollectiveXOutcome = z.infer<typeof outcome>;
+export interface CollectiveXRun {
+  run_id: string;
+  run_attempt: number;
+  generated_at: string;
+  conclusion: string | null;
+  source_sha: string;
+  requested_cases: number;
+  terminal_cases: number;
+  measured_cases: number;
+  unsupported_cases: number;
+  failed_cases: number;
+  requested_points: number;
+  terminal_points: number;
+  measured_points: number;
+  covered_skus: string[];
+}
 
-export type CollectiveXRawCaseAttempt = z.infer<typeof collectiveXRawCaseAttemptSchema>;
-export type CollectiveXRawCase = z.infer<typeof rawCaseSchema>;
-export type CollectiveXRawRow = z.infer<typeof rawRowSchema>;
+export interface CollectiveXDataset {
+  version: number;
+  run: CollectiveXRun;
+  coverage: CollectiveXCoverage[];
+  series: CollectiveXSeries[];
+}
 
-export interface CollectiveXResolvedDataset {
-  dataset: CollectiveXDataset;
+export interface CollectiveXRunSummary {
   run_id: string;
   run_attempt: number;
+  generated_at: string;
+  conclusion: string | null;
+  covered_skus: string[];
+  requested_cases: number;
+  measured_cases: number;
+  requested_points: number;
+  terminal_points: number;
+  terminal_counts: { measured: number; unsupported: number; failed: number };
 }
+
 export interface CollectiveXChartPoint {
   seriesId: string;
   seriesLabel: string;
   colorKey: string;
   x: number;
   y: number;
-  operation: CollectiveXOperation;
-  percentile: CollectiveXPercentile;
   point: CollectiveXPoint;
-  series: CollectiveXSeries;
 }
diff --git a/packages/app/src/hooks/api/use-collectivex.ts b/packages/app/src/hooks/api/use-collectivex.ts
index 66c596737..f4165d9fe 100644
--- a/packages/app/src/hooks/api/use-collectivex.ts
+++ b/packages/app/src/hooks/api/use-collectivex.ts
@@ -44,6 +44,7 @@ export function useCollectiveXRun(version: CollectiveXVersion, runId: string | n
     queryKey: ['collectivex-run', version, runId],
     queryFn: ({ signal }) => fetchCollectiveXRun(version, runId!, signal),
     enabled: runId !== null,
-    staleTime: Infinity,
+    staleTime: 0,
+    refetchOnMount: 'always',
   });
 }
diff --git a/packages/app/src/lib/api.test.ts b/packages/app/src/lib/api.test.ts
index 3009740e4..e9743da73 100644
--- a/packages/app/src/lib/api.test.ts
+++ b/packages/app/src/lib/api.test.ts
@@ -135,15 +135,15 @@ describe('fetchEvaluations', () => {
 describe('CollectiveX reader delegation', () => {
   const dataset = makeCollectiveXDataset();
 
-  function mockText(payload: unknown) {
+  function mockJson(payload: unknown) {
     mockFetch.mockResolvedValueOnce({
       ok: true,
-      text: () => Promise.resolve(typeof payload === 'string' ? payload : JSON.stringify(payload)),
+      json: () => Promise.resolve(payload),
     });
   }
 
-  it('fetches the latest run dataset without caching and resolves the run id', async () => {
-    mockText(dataset);
+  it('fetches the latest run dataset without caching', async () => {
+    mockJson(dataset);
 
     const result = await fetchCollectiveX();
 
@@ -151,25 +151,24 @@ describe('CollectiveX reader delegation', () => {
       '/collectivex-data/1/latest.json',
       expect.objectContaining({ cache: 'no-store', credentials: 'same-origin' }),
     );
-    expect(result.dataset.format).toBe('collectivex.view.v1');
-    expect(result.run_id).toBe(dataset.run.run_id);
-    expect(result.run_attempt).toBe(dataset.run.run_attempt);
+    expect(result.version).toBe(1);
+    expect(result.run.run_id).toBe(dataset.run.run_id);
   });
 
-  it('fetches a specific run by id from the immutable path', async () => {
-    mockText(dataset);
+  it('fetches a specific run by id without caching a stale rerun', async () => {
+    mockJson(dataset);
 
     const result = await fetchCollectiveXRun(1, dataset.run.run_id);
 
     expect(mockFetch).toHaveBeenCalledWith(
       `/collectivex-data/1/runs/${dataset.run.run_id}.json`,
-      expect.objectContaining({ cache: 'force-cache', credentials: 'same-origin' }),
+      expect.objectContaining({ cache: 'no-store', credentials: 'same-origin' }),
     );
-    expect(result.run_id).toBe(dataset.run.run_id);
+    expect(result.run.run_id).toBe(dataset.run.run_id);
   });
 
   it('fetches the run list', async () => {
-    mockText({ format: 'collectivex.runs.v1', version: 1, runs: [buildRunSummary(dataset)] });
+    mockJson({ version: 1, runs: [buildRunSummary(dataset)] });
 
     const runs = await fetchCollectiveXRunList(1);
 
diff --git a/packages/app/src/lib/api.ts b/packages/app/src/lib/api.ts
index dcb2784ca..9baf54158 100644
--- a/packages/app/src/lib/api.ts
+++ b/packages/app/src/lib/api.ts
@@ -3,13 +3,10 @@
  * Each function is a thin fetch wrapper returning typed data.
  */
 
-import {
-  fetchCollectiveXByRunId,
-  fetchCollectiveXLatest,
-  fetchCollectiveXRuns,
-} from '@/components/collectivex/reader';
 import {
   COLLECTIVEX_DEFAULT_VERSION,
+  type CollectiveXDataset,
+  type CollectiveXRunSummary,
   type CollectiveXVersion,
 } from '@/components/collectivex/types';
 import type { WorkerPower } from '@/components/inference/types';
@@ -314,7 +311,7 @@ export function fetchCollectiveX(
   signal?: AbortSignal,
   version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
 ) {
-  return fetchCollectiveXLatest(signal, version);
+  return fetchCollectiveXJson<CollectiveXDataset>(`${version}/latest.json`, signal);
 }
 
 /** Recent sweep runs for the run picker, keyed by run_id + attempt. */
@@ -322,7 +319,10 @@ export function fetchCollectiveXRunList(
   version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
   signal?: AbortSignal,
 ) {
-  return fetchCollectiveXRuns(version, signal);
+  return fetchCollectiveXJson<{ runs: CollectiveXRunSummary[] }>(
+    `${version}/runs.json`,
+    signal,
+  ).then(({ runs }) => runs);
 }
 
 /** Resolve a specific sweep run's neutral view dataset by run_id. */
@@ -331,7 +331,17 @@ export function fetchCollectiveXRun(
   runId: string,
   signal?: AbortSignal,
 ) {
-  return fetchCollectiveXByRunId(version, runId, signal);
+  return fetchCollectiveXJson<CollectiveXDataset>(`${version}/runs/${runId}.json`, signal);
+}
+
+async function fetchCollectiveXJson<T>(path: string, signal?: AbortSignal): Promise<T> {
+  const response = await fetch(`/collectivex-data/${path}`, {
+    cache: 'no-store',
+    credentials: 'same-origin',
+    signal,
+  });
+  if (!response.ok) throw new Error(`CollectiveX request failed (${response.status}).`);
+  return response.json();
 }
 
 export interface FeedbackListRow {
diff --git a/packages/app/src/lib/collectivex-github.test.ts b/packages/app/src/lib/collectivex-github.test.ts
index 2c07ae160..bd048dac0 100644
--- a/packages/app/src/lib/collectivex-github.test.ts
+++ b/packages/app/src/lib/collectivex-github.test.ts
@@ -13,18 +13,17 @@ import {
 const mockFetch = vi.fn();
 vi.stubGlobal('fetch', mockFetch);
 
-// The two measured shards a canonical sweep run uploads (scale-up EP8 + scale-out EP16).
+// Two current matrix shards: NVIDIA scale-up EP8 + AMD scale-out EP16.
 const shardA = makeRawShard({ backend: 'deepep-v2', ep: 8 });
 const shardB = makeRawShard({
-  backend: 'deepep',
-  implName: 'deepep',
-  deepepVersion: '2.1',
-  backendLineage: 'deepep-v2',
+  sku: 'mi355x',
+  backend: 'mori',
+  implName: 'mori',
+  vendor: 'amd',
   ep: 16,
-  scope: 'scale-out',
+  scaleUpTransport: 'xgmi',
   scaleOutTransport: 'rdma',
-  transport: 'rdma',
-  topologyClass: 'multi-node',
+  topologyClass: 'mi355x-xgmi-rdma',
   nodes: 2,
   gpusPerNode: 8,
   scaleUpDomain: 8,
@@ -77,19 +76,19 @@ function runObject(overrides: Record<string, unknown> = {}) {
   };
 }
 
-function artifactsBody() {
+function artifactsBody(runId = 160, runAttempt = 1) {
   return {
     total_count: 2,
     artifacts: [
       {
         id: 1,
-        name: 'cxsweep-matrix-160',
+        name: `cxsweep-matrix-${runId}`,
         archive_download_url: 'https://example.test/matrix.zip',
         expired: false,
       },
       {
         id: 2,
-        name: 'cxshard-cases',
+        name: `cxshard-cases-${runId}-${runAttempt}`,
         archive_download_url: 'https://example.test/shards.zip',
         expired: false,
       },
@@ -125,7 +124,7 @@ describe('CollectiveX GitHub sweep loader', () => {
     const first = await loadCollectiveXSweepRun(1);
     const second = await loadCollectiveXSweepRun(1);
 
-    expect(first.format).toBe('collectivex.view.v1');
+    expect(first.version).toBe(1);
     expect(first.run.run_id).toBe('160');
     expect(first.run.conclusion).toBe('success');
     expect(first.series).toHaveLength(2);
@@ -147,6 +146,63 @@ describe('CollectiveX GitHub sweep loader', () => {
     expect(mockFetch.mock.calls[0][0]).toContain('/actions/runs/160');
   });
 
+  it('uses the newest artifact per shard when only failed jobs are rerun', async () => {
+    const retriedShard = makeRawShard({
+      sku: 'mi355x',
+      backend: 'mori',
+      implName: 'mori',
+      vendor: 'amd',
+      ep: 16,
+      scaleUpTransport: 'xgmi',
+      scaleOutTransport: 'rdma',
+      topologyClass: 'mi355x-xgmi-rdma',
+      nodes: 2,
+      status: 'invalid',
+      reasons: ['retry-failed'],
+    });
+    mockFetch
+      .mockResolvedValueOnce(Response.json(runObject({ run_attempt: 2 })))
+      .mockResolvedValueOnce(
+        Response.json({
+          total_count: 4,
+          artifacts: [
+            {
+              id: 1,
+              name: 'cxsweep-matrix-160',
+              archive_download_url: 'https://example.test/matrix.zip',
+            },
+            {
+              id: 2,
+              name: 'cxshard-a-160-1',
+              archive_download_url: 'https://example.test/a1.zip',
+            },
+            {
+              id: 3,
+              name: 'cxshard-b-160-1',
+              archive_download_url: 'https://example.test/b1.zip',
+            },
+            {
+              id: 4,
+              name: 'cxshard-b-160-2',
+              archive_download_url: 'https://example.test/b2.zip',
+            },
+          ],
+        }),
+      )
+      .mockResolvedValueOnce(new Response(matrixZip))
+      .mockResolvedValueOnce(new Response(zipDocs(shardA)))
+      .mockResolvedValueOnce(new Response(zipDocs(retriedShard)));
+
+    const dataset = await loadCollectiveXSweepRun(1, '160');
+
+    expect(dataset.series.map((series) => series.backend)).toEqual(['deepep-v2']);
+    expect(dataset.coverage.find((item) => item.backend === 'mori')).toMatchObject({
+      outcome: 'invalid',
+      reason: 'retry-failed',
+    });
+    expect(mockFetch.mock.calls.some(([url]) => String(url).includes('/b1.zip'))).toBe(false);
+  });
+
   it('lists recent runs as run summaries', async () => {
     mockFetch
       .mockResolvedValueOnce(Response.json({ total_count: 1, workflow_runs: [runObject()] }))
@@ -160,6 +216,34 @@ describe('CollectiveX GitHub sweep loader', () => {
     expect(summaries[0].terminal_counts.measured).toBeGreaterThan(0);
   });
 
+  it('refreshes an expired run cache entry when listing a rerun', async () => {
+    vi.useFakeTimers();
+    try {
+      vi.setSystemTime(new Date('2026-07-08T12:20:00Z'));
+      mockFetch
+        .mockResolvedValueOnce(Response.json(runObject()))
+        .mockResolvedValueOnce(Response.json(artifactsBody()));
+      installArtifactDownloads();
+      await loadCollectiveXSweepRun(1, '160');
+
+      vi.setSystemTime(new Date('2026-07-08T12:21:01Z'));
+      mockFetch
+        .mockResolvedValueOnce(
+          Response.json({
+            total_count: 1,
+            workflow_runs: [runObject({ run_attempt: 2 })],
+          }),
+        )
+        .mockResolvedValueOnce(Response.json(artifactsBody(160, 2)));
+      installArtifactDownloads();
+
+      const summaries = await listCollectiveXSweepRuns(1);
+      expect(summaries[0].run_attempt).toBe(2);
+    } finally {
+      vi.useRealTimers();
+    }
+  });
+
   it('fails as unavailable without a server-side GitHub token', async () => {
     delete process.env.GITHUB_TOKEN;
 
@@ -210,7 +294,7 @@ describe('CollectiveX GitHub sweep loader', () => {
           workflow_runs: [runObject({ id: 161 }), runObject({ id: 160 })],
         }),
       )
-      .mockResolvedValueOnce(Response.json(artifactsBody()))
+      .mockResolvedValueOnce(Response.json(artifactsBody(161)))
       .mockResolvedValueOnce(new Response(matrixZipV2))
       .mockResolvedValueOnce(Response.json(artifactsBody()))
       .mockResolvedValueOnce(new Response(matrixZip))
diff --git a/packages/app/src/lib/collectivex-github.ts b/packages/app/src/lib/collectivex-github.ts
index 70113cfc0..14abe4212 100644
--- a/packages/app/src/lib/collectivex-github.ts
+++ b/packages/app/src/lib/collectivex-github.ts
@@ -20,13 +20,9 @@ const WORKFLOW_NAME = 'CollectiveX Sweep';
 const RUNS_PER_PAGE = 100;
 const ARTIFACTS_PER_PAGE = 100;
 
-// Neutral artifact families a sweep run uploads (via always()). A current run ships the
-// matrix + per-case shards; the `cxunsupported-` terminal family was retired (non-success
-// outcomes now ride in-band on a `case-attempt` shard) but is still matched so older runs
-// with that artifact family remain readable.
+// Artifact families uploaded by the current sweep.
 const MATRIX_PREFIX = 'cxsweep-matrix-';
 const SHARD_PREFIX = 'cxshard-';
-const TERMINAL_PREFIX = 'cxunsupported-';
 
 const MAX_ARTIFACT_BYTES = 64 * 1024 * 1024;
 const MAX_RUN_BYTES = 256 * 1024 * 1024;
@@ -34,7 +30,7 @@ const REQUEST_TIMEOUT_MS = 30_000;
 const MAX_REQUEST_ATTEMPTS = 3;
 const RETRYABLE_STATUSES = new Set([408, 429, 500, 502, 503, 504]);
 const LATEST_TTL_MS = 60_000;
-const RUN_TTL_MS = 10 * 60_000;
+const RUN_TTL_MS = 60_000;
 // The picker lists a recent window; each listed run costs one artifact-bundle
 // download + build, so the fan-out stays bounded.
 const MAX_LISTED_RUNS = 8;
@@ -228,8 +224,8 @@ async function listArtifacts(runId: number, token: string): Promise<GithubArtifa
   return artifacts.filter((artifact) => !artifact.expired);
 }
 
-function hasMatrixArtifact(artifacts: GithubArtifact[]): boolean {
-  return artifacts.some((artifact) => artifact.name.startsWith(MATRIX_PREFIX));
+function hasMatrixArtifact(artifacts: GithubArtifact[], run: WorkflowRun): boolean {
+  return artifacts.some((artifact) => artifact.name === `${MATRIX_PREFIX}${run.id}`);
 }
 
 async function collectDocs(artifact: GithubArtifact, token: string): Promise<unknown[]> {
@@ -287,6 +283,28 @@ interface MatrixCandidate {
   resultArtifacts: GithubArtifact[];
 }
 
+function resultArtifactsForRun(artifacts: GithubArtifact[], run: WorkflowRun): GithubArtifact[] {
+  const suffix = new RegExp(`^${SHARD_PREFIX}(.+)-${run.id}-([1-9][0-9]*)$`);
+  const selected = new Map<string, { artifact: GithubArtifact; attempt: number }>();
+  for (const artifact of artifacts) {
+    const match = suffix.exec(artifact.name);
+    if (!match) continue;
+    const attempt = Number(match[2]);
+    if (attempt > run.run_attempt) continue;
+    const previous = selected.get(match[1]);
+    if (
+      !previous ||
+      attempt > previous.attempt ||
+      (attempt === previous.attempt && artifact.id > previous.artifact.id)
+    ) {
+      selected.set(match[1], { artifact, attempt });
+    }
+  }
+  return [...selected.values()]
+    .map(({ artifact }) => artifact)
+    .toSorted((left, right) => left.name.localeCompare(right.name));
+}
+
 function matrixVersion(doc: unknown): number | null {
   const value = (doc as { version?: unknown } | null)?.version;
   return typeof value === 'number' && Number.isSafeInteger(value) && value > 0 ? value : null;
@@ -308,8 +326,12 @@ function isMatrixDoc(doc: unknown): boolean {
 async function loadMatrixCandidate(
   artifacts: GithubArtifact[],
   token: string,
+  run: WorkflowRun,
 ): Promise<MatrixCandidate> {
-  const matrixArtifacts = artifacts.filter((artifact) => artifact.name.startsWith(MATRIX_PREFIX));
+  const matrixArtifacts = artifacts
+    .filter((artifact) => artifact.name === `${MATRIX_PREFIX}${run.id}`)
+    .toSorted((left, right) => right.id - left.id)
+    .slice(0, 1);
   if (matrixArtifacts.length === 0) {
     throw new CollectiveXSweepError('not-found', 'sweep run has no matrix artifact');
   }
@@ -323,10 +345,7 @@ async function loadMatrixCandidate(
   if (version === null) {
     throw new CollectiveXSweepError('invalid', 'matrix document has no valid version tag');
   }
-  const resultArtifacts = artifacts.filter(
-    (artifact) =>
-      artifact.name.startsWith(SHARD_PREFIX) || artifact.name.startsWith(TERMINAL_PREFIX),
-  );
+  const resultArtifacts = resultArtifactsForRun(artifacts, run);
   return { matrixDoc: matrixCandidates[0], version, matrixArtifacts, resultArtifacts };
 }
 
@@ -358,10 +377,7 @@ async function assembleRun(
     run_attempt: run.run_attempt,
     generated_at: generatedAt,
     conclusion: run.conclusion,
-    matrix_id: null,
-    source_bundle_ids: [...candidate.matrixArtifacts, ...candidate.resultArtifacts].map(
-      (artifact) => artifact.name,
-    ),
+    source_sha: run.head_sha,
   };
 
   try {
@@ -397,7 +413,7 @@ async function fetchRunById(
     throw new CollectiveXSweepError('not-found', 'run is not a CollectiveX sweep');
   }
   const artifacts = await listArtifacts(run.id, token);
-  const candidate = await loadMatrixCandidate(artifacts, token);
+  const candidate = await loadMatrixCandidate(artifacts, token, run);
   if (candidate.version !== version) {
     throw new CollectiveXSweepError('not-found', 'run does not match the requested version');
   }
@@ -410,8 +426,8 @@ async function fetchLatestRun(version: CollectiveXVersion): Promise<CollectiveXD
   // version rather than erroring, so a future vN rollout never breaks vN-1.
   for await (const run of sweepRuns(token)) {
     const artifacts = await listArtifacts(run.id, token);
-    if (!hasMatrixArtifact(artifacts)) continue;
-    const candidate = await loadMatrixCandidate(artifacts, token);
+    if (!hasMatrixArtifact(artifacts, run)) continue;
+    const candidate = await loadMatrixCandidate(artifacts, token, run);
     if (candidate.version !== version) continue;
     return assembleRun(run, candidate, token);
   }
@@ -423,11 +439,12 @@ async function fetchRunList(version: CollectiveXVersion): Promise<CollectiveXRun
   const summaries: CollectiveXRunSummary[] = [];
   for await (const run of sweepRuns(token)) {
     const artifacts = await listArtifacts(run.id, token);
-    if (!hasMatrixArtifact(artifacts)) continue;
-    const candidate = await loadMatrixCandidate(artifacts, token);
+    if (!hasMatrixArtifact(artifacts, run)) continue;
+    const candidate = await loadMatrixCandidate(artifacts, token, run);
     if (candidate.version !== version) continue;
     const cacheKey = `${version}:${run.id}`;
-    let datasetPromise = runCache.get(cacheKey)?.promise;
+    const cached = runCache.get(cacheKey);
+    let datasetPromise = cached && cached.expiresAt > Date.now() ? cached.promise : undefined;
     if (!datasetPromise) {
       datasetPromise = assembleRun(run, candidate, token);
       runCache.set(cacheKey, { expiresAt: Date.now() + RUN_TTL_MS, promise: datasetPromise });

From 0033e2843fbcd498b4d4855a8ad1777eefe98b94 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Fri, 17 Jul 2026 12:03:56 +0800
Subject: [PATCH 16/37] feat(collectivex): surface FP8 dispatch precision as a
 dashboard dimension

CollectiveX case_ids now carry a precision factor (bf16|fp8). The reader keyed
series/coverage on case_id so bf16 and fp8 were already distinct, but the label,
color key, and selection omitted precision, so the two collided in the UI (same
label, same chart color, not filterable).

- types: CollectiveXPrecision; precision on CollectiveXSeries + CollectiveXCoverage.
- reader: parse case.precision (toPrecision defaults legacy/no-field artifacts to
  bf16); thread into series, coverage, and the coverage label.
- data: precision in series label + colorKey (distinct legend colors) and in the
  series selection (seriesMatchesSelection requires it).
- display: precision toggle mirroring the phase idiom; Precision column in the
  inventory and tables; en/zh strings.
- fixtures + tests updated (bf16/fp8 split series, distinct color keys, legacy
  default-to-bf16). COLLECTIVEX_VERSIONS unchanged (benchmark sweep.json still v1).
---
 packages/app/cypress/e2e/collectivex.cy.ts    |  1 +
 .../collectivex/CollectiveXDisplay.tsx        | 49 ++++++++++++++++--
 .../collectivex/CollectiveXInventory.tsx      |  5 ++
 .../collectivex/CollectiveXTables.tsx         |  7 +++
 .../src/components/collectivex/data.test.ts   | 20 ++++++--
 .../app/src/components/collectivex/data.ts    | 12 +++--
 .../src/components/collectivex/reader.test.ts | 50 +++++++++++++++----
 .../app/src/components/collectivex/reader.ts  | 13 ++++-
 .../components/collectivex/test-fixture.ts    | 15 ++++--
 .../app/src/components/collectivex/types.ts   |  3 ++
 10 files changed, 150 insertions(+), 25 deletions(-)

diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index 3c0deea44..9140b966c 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -71,6 +71,7 @@ describe('CollectiveX neutral run view', () => {
   it('only exposes dimensions that vary in the current matrix', () => {
     cy.get('[data-testid="collectivex-ep-select"]').should('be.visible');
     cy.get('[data-testid="collectivex-phase-toggle"]').should('be.visible');
+    cy.get('[data-testid="collectivex-precision-toggle"]').should('be.visible');
     cy.get('[data-testid="collectivex-sku-select"]').should('be.visible');
     cy.get('[data-testid="collectivex-backend-select"]').should('be.visible');
     cy.get('[data-testid="collectivex-mode-toggle"]').should('not.exist');
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index 0e6e632bc..581cc09ca 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -36,6 +36,7 @@ import {
   type CollectiveXOperation,
   type CollectiveXPercentile,
   type CollectiveXPhase,
+  type CollectiveXPrecision,
   type CollectiveXVersion,
   type CollectiveXYAxis,
 } from './types';
@@ -65,6 +66,7 @@ const STRINGS = {
     },
     phase: { decode: 'Decode', prefill: 'Prefill' },
     phaseValue: { decode: 'decode', prefill: 'prefill' },
+    precision: { bf16: 'BF16', fp8: 'FP8' },
     yAxis: {
       latency: 'Latency',
       'tokens-per-second': 'Token rate at selected latency percentile',
@@ -92,6 +94,8 @@ const STRINGS = {
     operationControl: 'Operation',
     phaseControl: 'Phase',
     phaseAria: 'CollectiveX phase',
+    precisionControl: 'Precision',
+    precisionAria: 'CollectiveX precision',
     latencyPercentile: 'Latency percentile',
     percentileAria: 'CollectiveX percentile',
     sku: 'SKU',
@@ -118,6 +122,7 @@ const STRINGS = {
     },
     phase: { decode: '解码', prefill: '预填充' },
     phaseValue: { decode: '解码', prefill: '预填充' },
+    precision: { bf16: 'BF16', fp8: 'FP8' },
     scale: { log: '对数', linear: '线性' },
     xAxis: {
       'tokens-per-rank': '每 rank 源 token 数',
@@ -172,6 +177,8 @@ const STRINGS = {
     operationControl: '操作',
     phaseControl: '阶段',
     phaseAria: 'CollectiveX 阶段',
+    precisionControl: '精度',
+    precisionAria: 'CollectiveX 精度',
     latencyPercentile: '延迟分位点',
     percentileAria: 'CollectiveX 延迟分位点',
     sku: 'SKU',
@@ -279,6 +286,9 @@ export default function CollectiveXDisplay() {
   const [epSize, setEpSize] = useState(8);
   const [operation, setOperation] = useState<CollectiveXOperation>('roundtrip');
   const [phase, setPhase] = useState<CollectiveXPhase>('decode');
+  // Prefer FP8 when the run measured it; the availability effect below falls
+  // back to bf16 for runs (or EP/phase slices) without FP8 series.
+  const [precision, setPrecision] = useState<CollectiveXPrecision>('fp8');
   const [percentile, setPercentile] = useState<CollectiveXPercentile>('p99');
   const [yAxis, setYAxis] = useState<CollectiveXYAxis>('latency');
   const [sku, setSku] = useState('all');
@@ -346,6 +356,20 @@ export default function CollectiveXDisplay() {
     value,
     label: t.phase[value],
   }));
+  const availablePrecisions = useMemo(
+    () =>
+      [
+        ...new Set(
+          dataset?.series
+            .filter((item) => item.system.ep_size === epSize && item.phase === phase)
+            .map((item) => item.precision),
+        ),
+      ].toSorted(),
+    [dataset?.series, epSize, phase],
+  );
+  const precisionOptions: SegmentedToggleOption<CollectiveXPrecision>[] = availablePrecisions.map(
+    (value) => ({ value, label: t.precision[value] }),
+  );
   useEffect(() => {
     if (availableEpSizes.length > 0 && !availableEpSizes.includes(epSize)) {
       setEpSize(availableEpSizes[0]);
@@ -353,13 +377,16 @@ export default function CollectiveXDisplay() {
     if (availablePhases.length > 0 && !availablePhases.includes(phase)) {
       setPhase(availablePhases[0]);
     }
-  }, [availableEpSizes, availablePhases, epSize, phase]);
+    if (availablePrecisions.length > 0 && !availablePrecisions.includes(precision)) {
+      setPrecision(availablePrecisions[0]);
+    }
+  }, [availableEpSizes, availablePhases, availablePrecisions, epSize, phase, precision]);
   const seriesSelection = useMemo<CollectiveXSeriesSelection>(
-    () => ({ epSize, phase }),
-    [epSize, phase],
+    () => ({ epSize, phase, precision }),
+    [epSize, phase, precision],
   );
-  // SKU and EP determine topology; V1 fixes mode and routing. Only EP and phase
-  // are needed before the library/SKU comparison filters.
+  // SKU and EP determine topology; V1 fixes mode and routing. Only EP, phase,
+  // and precision are needed before the library/SKU comparison filters.
   const matchedSeries = useMemo(
     () => (dataset?.series ?? []).filter((item) => seriesMatchesSelection(item, seriesSelection)),
     [dataset?.series, seriesSelection],
@@ -706,6 +733,18 @@ export default function CollectiveXDisplay() {
               testId="collectivex-phase-toggle"
             />
           </ControlGroup>
+          <ControlGroup label={t.precisionControl}>
+            <SegmentedToggle
+              value={precision}
+              options={precisionOptions}
+              onValueChange={(next) => {
+                setPrecision(next);
+                track('collectivex_precision_changed', { precision: next });
+              }}
+              ariaLabel={t.precisionAria}
+              testId="collectivex-precision-toggle"
+            />
+          </ControlGroup>
           <ControlGroup label={t.latencyPercentile}>
             <SegmentedToggle
               value={percentile}
diff --git a/packages/app/src/components/collectivex/CollectiveXInventory.tsx b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
index 1d7b0d9d5..2a8f8cddd 100644
--- a/packages/app/src/components/collectivex/CollectiveXInventory.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
@@ -85,6 +85,11 @@ export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset
         cell: (row) => row.phase,
         sortValue: (row) => row.phase,
       },
+      {
+        header: 'Precision',
+        cell: (row) => row.precision,
+        sortValue: (row) => row.precision,
+      },
       {
         header: 'Topology',
         cell: (row) => collectiveXTopologyLabel(row.topology),
diff --git a/packages/app/src/components/collectivex/CollectiveXTables.tsx b/packages/app/src/components/collectivex/CollectiveXTables.tsx
index 3a2a37dcb..edaf11123 100644
--- a/packages/app/src/components/collectivex/CollectiveXTables.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXTables.tsx
@@ -38,6 +38,7 @@ const STRINGS = {
     sku: 'SKU',
     backend: 'Backend',
     phaseHeader: 'Phase',
+    precisionHeader: 'Precision',
     modeHeader: 'Mode',
     epHeader: 'EP',
     scopeHeader: 'Fabric scope',
@@ -78,6 +79,7 @@ const STRINGS = {
     sku: 'SKU',
     backend: '后端',
     phaseHeader: '阶段',
+    precisionHeader: '精度',
     modeHeader: '模式',
     epHeader: 'EP',
     scopeHeader: '互联范围',
@@ -210,6 +212,11 @@ export function CollectiveXCoverageTable({ coverage }: { coverage: CollectiveXCo
         cell: (row) => t.phase[row.phase],
         sortValue: (row) => t.phase[row.phase],
       },
+      {
+        header: t.precisionHeader,
+        cell: (row) => row.precision,
+        sortValue: (row) => row.precision,
+      },
       {
         header: t.epHeader,
         cell: (row) => `EP${row.topology.ep_size}`,
diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
index 467186e10..5422a2a9e 100644
--- a/packages/app/src/components/collectivex/data.test.ts
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -32,7 +32,13 @@ describe('collectiveXTopologyLabel', () => {
 
 describe('collectiveXSeriesLabel', () => {
   it('renders the varying identity axes of a series', () => {
-    expect(collectiveXSeriesLabel(scaleUp)).toBe('H200-DGXC · deepep-v2 · EP8 · decode');
+    expect(collectiveXSeriesLabel(scaleUp)).toBe('H200-DGXC · deepep-v2 · EP8 · decode · bf16');
+  });
+
+  it('distinguishes the dispatch precision', () => {
+    expect(collectiveXSeriesLabel(makeCollectiveXSeries({ precision: 'fp8' }))).toBe(
+      'H200-DGXC · deepep-v2 · EP8 · decode · fp8',
+    );
   });
 
   it('shows the selected EP degree and phase', () => {
@@ -54,6 +60,12 @@ describe('collectiveXColorKey', () => {
     expect(collectiveXColorKey(a)).not.toBe(collectiveXColorKey(b));
   });
 
+  it('assigns distinct keys to bf16 and fp8 series of one configuration', () => {
+    const bf16 = makeCollectiveXSeries();
+    const fp8 = makeCollectiveXSeries({ precision: 'fp8' });
+    expect(collectiveXColorKey(bf16)).not.toBe(collectiveXColorKey(fp8));
+  });
+
   it('leads with the system vendor so getVendor places series in vendor hue zones', () => {
     // The chart color system reads the first "_"-separated token to classify the
     // vendor (NVIDIA greens, AMD reds), matching the InferenceX charts.
@@ -67,15 +79,17 @@ describe('seriesMatchesSelection', () => {
   const base: CollectiveXSeriesSelection = {
     epSize: 8,
     phase: 'decode',
+    precision: 'bf16',
   };
 
-  it('matches on EP size and phase', () => {
+  it('matches on EP size, phase, and precision', () => {
     expect(seriesMatchesSelection(scaleUp, base)).toBe(true);
   });
 
-  it('rejects a series whose EP or phase differs from the selection', () => {
+  it('rejects a series whose EP, phase, or precision differs from the selection', () => {
     expect(seriesMatchesSelection(scaleUp, { ...base, epSize: 16 })).toBe(false);
     expect(seriesMatchesSelection(scaleUp, { ...base, phase: 'prefill' })).toBe(false);
+    expect(seriesMatchesSelection(scaleUp, { ...base, precision: 'fp8' })).toBe(false);
   });
 });
 
diff --git a/packages/app/src/components/collectivex/data.ts b/packages/app/src/components/collectivex/data.ts
index 898cbff98..9231b32e0 100644
--- a/packages/app/src/components/collectivex/data.ts
+++ b/packages/app/src/components/collectivex/data.ts
@@ -5,6 +5,7 @@ import type {
   CollectiveXPercentile,
   CollectiveXPhase,
   CollectiveXPoint,
+  CollectiveXPrecision,
   CollectiveXSeries,
   CollectiveXYAxis,
 } from './types';
@@ -12,6 +13,7 @@ import type {
 export interface CollectiveXSeriesSelection {
   epSize: number;
   phase: CollectiveXPhase;
+  precision: CollectiveXPrecision;
 }
 
 export function collectiveXTopologyLabel(
@@ -32,18 +34,22 @@ export function collectiveXTopologyLabel(
 }
 
 export function collectiveXSeriesLabel(series: CollectiveXSeries): string {
-  return `${series.system.sku.toUpperCase()} · ${series.backend} · EP${series.system.ep_size} · ${series.phase}`;
+  return `${series.system.sku.toUpperCase()} · ${series.backend} · EP${series.system.ep_size} · ${series.phase} · ${series.precision}`;
 }
 
 export function collectiveXColorKey(series: CollectiveXSeries): string {
-  return `${series.system.vendor}_${series.system.sku}_${series.backend}_ep${series.system.ep_size}_${series.phase}`;
+  return `${series.system.vendor}_${series.system.sku}_${series.backend}_ep${series.system.ep_size}_${series.phase}_${series.precision}`;
 }
 
 export function seriesMatchesSelection(
   series: CollectiveXSeries,
   selection: CollectiveXSeriesSelection,
 ): boolean {
-  return series.system.ep_size === selection.epSize && series.phase === selection.phase;
+  return (
+    series.system.ep_size === selection.epSize &&
+    series.phase === selection.phase &&
+    series.precision === selection.precision
+  );
 }
 
 export function metricValue(
diff --git a/packages/app/src/components/collectivex/reader.test.ts b/packages/app/src/components/collectivex/reader.test.ts
index c35370339..61dbf3ecd 100644
--- a/packages/app/src/components/collectivex/reader.test.ts
+++ b/packages/app/src/components/collectivex/reader.test.ts
@@ -28,26 +28,58 @@ describe('CollectiveX artifact assembly', () => {
   it('builds the current view from matrix cases and result shards', () => {
     const dataset = makeCollectiveXDataset();
     expect(dataset.version).toBe(1);
-    expect(dataset.series).toHaveLength(2);
-    expect(dataset.coverage).toHaveLength(4);
+    expect(dataset.series).toHaveLength(3);
+    expect(dataset.coverage).toHaveLength(5);
     expect(dataset.run).toMatchObject({
-      requested_cases: 4,
-      measured_cases: 2,
+      requested_cases: 5,
+      measured_cases: 3,
       unsupported_cases: 1,
-      terminal_cases: 3,
-      measured_points: 20,
-      terminal_points: 30,
-      requested_points: 40,
+      terminal_cases: 4,
+      measured_points: 30,
+      terminal_points: 40,
+      requested_points: 50,
     });
   });
 
   it('maps series identity and points', () => {
     const series = makeCollectiveXSeries();
-    expect(series.series_id).toBe('h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform');
+    expect(series.series_id).toBe('h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-bf16');
     expect(series.backend).toBe('deepep-v2');
+    expect(series.precision).toBe('bf16');
     expect(series.points).toHaveLength(10);
   });
 
+  it('keeps bf16 and fp8 measurements of one cell as distinct labeled cases', () => {
+    const dataset = makeCollectiveXDataset();
+    const h200 = dataset.series.filter((series) => series.system.sku === 'h200-dgxc');
+    expect(h200.map((series) => series.precision).toSorted()).toEqual(['bf16', 'fp8']);
+    expect(new Set(h200.map((series) => series.series_id)).size).toBe(2);
+    expect(dataset.coverage.find((row) => row.precision === 'fp8')).toMatchObject({
+      case_id: 'h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-fp8',
+      label: 'h200-dgxc · deepep-v2 · decode · EP8 · fp8',
+    });
+    expect(
+      dataset.coverage.find(
+        (row) => row.case_id === 'h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-bf16',
+      ),
+    ).toMatchObject({
+      precision: 'bf16',
+      label: 'h200-dgxc · deepep-v2 · decode · EP8 · bf16',
+    });
+  });
+
+  it('defaults pre-FP8 artifacts without a precision field to bf16', () => {
+    const dataset = buildDataset({ shards: [makeRawShard({ precision: null })] });
+    expect(dataset.series[0].series_id).toBe(
+      'h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform',
+    );
+    expect(dataset.series[0].precision).toBe('bf16');
+    expect(dataset.coverage[0]).toMatchObject({
+      precision: 'bf16',
+      label: 'h200-dgxc · deepep-v2 · decode · EP8 · bf16',
+    });
+  });
+
   it('ignores non-result documents', () => {
     const shard = makeRawShard();
     const dataset = buildDatasetFromNeutral(
diff --git a/packages/app/src/components/collectivex/reader.ts b/packages/app/src/components/collectivex/reader.ts
index 810ee1f7b..017b87008 100644
--- a/packages/app/src/components/collectivex/reader.ts
+++ b/packages/app/src/components/collectivex/reader.ts
@@ -6,6 +6,7 @@ import type {
   CollectiveXOutcome,
   CollectiveXPercentiles,
   CollectiveXPoint,
+  CollectiveXPrecision,
   CollectiveXRunSummary,
   CollectiveXSeries,
   CollectiveXTerminalStatus,
@@ -19,6 +20,7 @@ interface RawCase {
   ladder: string;
   nodes: number;
   phase: string;
+  precision?: string;
   topology_class: string;
   scale_up_domain: number;
   scale_up_transport: string;
@@ -97,6 +99,12 @@ function toTerminalStatus(outcome: CollectiveXOutcome): CollectiveXTerminalStatu
   return outcome === 'success' ? 'measured' : outcome;
 }
 
+// Artifacts predating the FP8 dispatch dimension carry no precision field and
+// were all measured in bf16.
+function toPrecision(raw: string | undefined): CollectiveXPrecision {
+  return raw === 'fp8' ? 'fp8' : 'bf16';
+}
+
 function ratesFrom(bytes: number, latency: CollectiveXPercentiles): CollectiveXPercentiles {
   const rate = (us: number) => (bytes / us) * 1e-3;
   return {
@@ -152,6 +160,7 @@ function buildSeries(shard: RawShard): CollectiveXSeries {
   return {
     series_id: shard.identity.case_id,
     phase: kase.phase === 'prefill' ? 'prefill' : 'decode',
+    precision: toPrecision(kase.precision),
     backend: shard.implementation.name,
     system: {
       ...topologyOf(kase),
@@ -259,14 +268,16 @@ export function buildDatasetFromNeutral(
       reason = 'pending';
       points = terminalPoints(kase, 'pending', reason);
     }
+    const precision = toPrecision(kase.precision);
     return [
       {
         case_id: caseId,
-        label: `${requested.sku} · ${kase.backend} · ${kase.phase} · EP${kase.ep}`,
+        label: `${requested.sku} · ${kase.backend} · ${kase.phase} · EP${kase.ep} · ${precision}`,
         disposition: requested.disposition,
         sku: requested.sku,
         backend: kase.backend,
         phase: kase.phase === 'prefill' ? 'prefill' : 'decode',
+        precision,
         topology: topologyOf(kase),
         points,
         outcome,
diff --git a/packages/app/src/components/collectivex/test-fixture.ts b/packages/app/src/components/collectivex/test-fixture.ts
index 24c1ee51e..f2b9ad867 100644
--- a/packages/app/src/components/collectivex/test-fixture.ts
+++ b/packages/app/src/components/collectivex/test-fixture.ts
@@ -24,6 +24,8 @@ export interface ShardOverrides {
   implName?: string;
   ep?: number;
   phase?: string;
+  /** null models a pre-FP8 artifact: no precision field and no case_id suffix. */
+  precision?: string | null;
   scaleUpTransport?: string;
   scaleOutTransport?: string | null;
   topologyClass?: string;
@@ -87,6 +89,7 @@ function makeRawCase(options: ShardOverrides, caseId: string): Json {
     ladder: options.ladder ?? TOKEN_LADDERS[phase],
     nodes: options.nodes ?? 1,
     phase,
+    ...(options.precision === null ? {} : { precision: options.precision ?? 'bf16' }),
     topology_class: options.topologyClass ?? 'h200-nvlink-island',
     scale_up_domain: options.scaleUpDomain ?? 8,
     scale_up_transport: options.scaleUpTransport ?? 'nvlink',
@@ -97,7 +100,8 @@ function makeRawCase(options: ShardOverrides, caseId: string): Json {
 export function caseIdOf(options: ShardOverrides = {}): string {
   if (options.caseId) return options.caseId;
   const tail = options.variant ? `-${options.variant}` : '';
-  return `${options.sku ?? 'h200-dgxc'}-${options.backend ?? 'deepep-v2'}-${options.workload ?? 'deepseek-v3'}-normal-${options.phase ?? 'decode'}-ep${options.ep ?? 8}-uniform${tail}`;
+  const precision = options.precision === null ? '' : `-${options.precision ?? 'bf16'}`;
+  return `${options.sku ?? 'h200-dgxc'}-${options.backend ?? 'deepep-v2'}-${options.workload ?? 'deepseek-v3'}-normal-${options.phase ?? 'decode'}-ep${options.ep ?? 8}-uniform${precision}${tail}`;
 }
 
 export function makeRawShard(options: ShardOverrides = {}): Json {
@@ -204,10 +208,13 @@ export function makeCollectiveXDataset(): CollectiveXDataset {
     topologyClass: 'mi355x-xgmi-rdma',
     nodes: 2,
   });
-  const unsupportedId = 'b300-deepep-v2-deepseek-v3-normal-decode-ep16-uniform';
-  const pendingId = 'b200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform';
+  // The same cell as shardA measured with FP8 dispatch, so consumers exercise
+  // the bf16/fp8 split of an otherwise identical configuration.
+  const shardC = makeRawShard({ precision: 'fp8' });
+  const unsupportedId = 'b300-deepep-v2-deepseek-v3-normal-decode-ep16-uniform-bf16';
+  const pendingId = 'b200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-bf16';
   return buildDataset({
-    shards: [shardA, shardB],
+    shards: [shardA, shardB, shardC],
     requestedCases: [
       {
         caseId: unsupportedId,
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
index faff92a2c..c20e44fd0 100644
--- a/packages/app/src/components/collectivex/types.ts
+++ b/packages/app/src/components/collectivex/types.ts
@@ -1,4 +1,5 @@
 export type CollectiveXPhase = 'decode' | 'prefill';
+export type CollectiveXPrecision = 'bf16' | 'fp8';
 export const COLLECTIVEX_VERSIONS = [1] as const;
 export type CollectiveXVersion = (typeof COLLECTIVEX_VERSIONS)[number];
 export const COLLECTIVEX_DEFAULT_VERSION: CollectiveXVersion = COLLECTIVEX_VERSIONS.at(-1)!;
@@ -51,6 +52,7 @@ export interface CollectiveXTopology {
 export interface CollectiveXSeries {
   series_id: string;
   phase: CollectiveXPhase;
+  precision: CollectiveXPrecision;
   backend: string;
   system: CollectiveXTopology & {
     sku: string;
@@ -73,6 +75,7 @@ export interface CollectiveXCoverage {
   sku: string;
   backend: string;
   phase: CollectiveXPhase;
+  precision: CollectiveXPrecision;
   topology: CollectiveXTopology;
   points: CollectiveXCoveragePoint[];
   outcome: CollectiveXOutcome;

From 59340f39947c06232ed76d35b4105df3e3332096 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Fri, 17 Jul 2026 17:10:24 +0800
Subject: [PATCH 17/37] feat(collectivex): replace JIT artifact serving with a
 lazy-ingest Neon DB

The CollectiveX tab previously assembled its dataset from GitHub Actions
artifacts on every request: data vanished with the 14-day artifact expiry,
cold requests paid GitHub paging + ZIP downloads, and the run picker was
capped at 8 runs.

The tab is now backed by a dedicated Neon database acting as a durable
cache of GitHub, populated lazily on read:

- packages/db gains the shared neutral contract (reader/types/fixtures
  moved from the app), a second migration set (cx_runs + cx_run_docs
  storing RAW sweep documents so the evolving sweep JSON contract only
  ever touches the reader), tombstone-aware queries, and a CLI ingest for
  pre-warming runs before artifact expiry, backfills, and un-deletes.
- /api/v1/collectivex/{latest,runs,runs/[runId]} discover and persist
  sweep runs from any harness branch in-request: race-safe
  single-statement CTE inserts, FOR UPDATE-guarded refresh when GitHub
  reports a newer run attempt, assembled datasets served through the
  shared reader, and stored-data fallback when GitHub is down. DELETE
  tombstones a run (discovery never resurrects it) behind a dedicated
  COLLECTIVEX_ADMIN_SECRET bearer token and purges only the collectivex
  CDN tag scope.
- The frontend keeps the run picker (now DB-backed, capped at 50) and
  gains a delete-run flow with a remembered admin token.
- Removed: the JIT layer (collectivex-github.ts, /collectivex-data route).
  No CI ingest plumbing or GitHub secrets are required; runtime needs
  GITHUB_TOKEN, DATABASE_COLLECTIVEX_READONLY_URL/WRITE_URL, and
  COLLECTIVEX_ADMIN_SECRET (already provisioned on Vercel), plus the
  applied migrations-collectivex/ migration.

Design rationale and invariants are documented in docs/collectivex.md.
---
 .agents/skills/neon-postgres/SKILL.md         |  376 +++
 .../neon-postgres/references/neon-sdk.md      |  265 ++
 .agents/skills/neon/SKILL.md                  |  350 +++
 .env.example                                  |   12 +-
 AGENTS.md                                     |    8 +-
 docs/collectivex.md                           |   67 +
 docs/index.md                                 |    1 +
 package.json                                  |    2 +
 packages/app/cypress/e2e/collectivex.cy.ts    |   90 +-
 .../fixtures/api/collectivex-latest.json      | 2535 +++++++++++++++++
 .../fixtures/api/collectivex-runs.json        |   21 +
 .../app/scripts/capture-cypress-fixtures.ts   |   14 +
 .../api/v1/collectivex/latest/route.test.ts   |  104 +
 .../app/api/v1/collectivex/latest/route.ts    |   56 +
 .../v1/collectivex/runs/[runId]/route.test.ts |  158 +
 .../api/v1/collectivex/runs/[runId]/route.ts  |  104 +
 .../app/api/v1/collectivex/runs/route.test.ts |  102 +
 .../src/app/api/v1/collectivex/runs/route.ts  |   51 +
 .../src/app/api/v1/invalidate/route.test.ts   |   27 +-
 .../app/src/app/api/v1/invalidate/route.ts    |   25 +-
 .../collectivex-data/[...path]/route.test.ts  |  110 -
 .../app/collectivex-data/[...path]/route.ts   |   68 -
 .../collectivex/CollectiveXDisplay.tsx        |   67 +-
 .../components/collectivex/test-fixture.ts    |  247 +-
 .../app/src/components/collectivex/types.ts   |  130 +-
 packages/app/src/hooks/api/use-collectivex.ts |   34 +-
 packages/app/src/lib/api-cache.test.ts        |   34 +-
 packages/app/src/lib/api-cache.ts             |   52 +-
 packages/app/src/lib/api.test.ts              |   42 +-
 packages/app/src/lib/api.ts                   |   37 +-
 .../app/src/lib/collectivex-github.test.ts    |  323 ---
 .../src/lib/collectivex-lazy-ingest.test.ts   |  358 +++
 ...x-github.ts => collectivex-lazy-ingest.ts} |  337 ++-
 .../001_initial_schema.sql                    |   38 +
 packages/db/package.json                      |    3 +
 .../collectivex/artifact-selection.test.ts    |   42 +
 .../db/src/collectivex/artifact-selection.ts  |   41 +
 .../src}/collectivex/reader.test.ts           |    0
 .../src}/collectivex/reader.ts                |   32 +
 packages/db/src/collectivex/test-fixture.ts   |  242 ++
 packages/db/src/collectivex/types.ts          |  127 +
 packages/db/src/connection.ts                 |   41 +-
 packages/db/src/etl/db-utils.ts               |    6 +-
 packages/db/src/ingest-collectivex.ts         |  247 ++
 packages/db/src/lib/github-artifacts.ts       |   23 +
 packages/db/src/lib/migration-runner.test.ts  |   88 +
 packages/db/src/lib/migration-runner.ts       |   56 +
 packages/db/src/migrate-collectivex.ts        |   50 +
 packages/db/src/migrate.ts                    |   43 +-
 packages/db/src/queries/collectivex.test.ts   |  167 ++
 packages/db/src/queries/collectivex.ts        |  248 ++
 51 files changed, 6570 insertions(+), 1131 deletions(-)
 create mode 100644 .agents/skills/neon-postgres/SKILL.md
 create mode 100644 .agents/skills/neon-postgres/references/neon-sdk.md
 create mode 100644 .agents/skills/neon/SKILL.md
 create mode 100644 docs/collectivex.md
 create mode 100644 packages/app/cypress/fixtures/api/collectivex-latest.json
 create mode 100644 packages/app/cypress/fixtures/api/collectivex-runs.json
 create mode 100644 packages/app/src/app/api/v1/collectivex/latest/route.test.ts
 create mode 100644 packages/app/src/app/api/v1/collectivex/latest/route.ts
 create mode 100644 packages/app/src/app/api/v1/collectivex/runs/[runId]/route.test.ts
 create mode 100644 packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
 create mode 100644 packages/app/src/app/api/v1/collectivex/runs/route.test.ts
 create mode 100644 packages/app/src/app/api/v1/collectivex/runs/route.ts
 delete mode 100644 packages/app/src/app/collectivex-data/[...path]/route.test.ts
 delete mode 100644 packages/app/src/app/collectivex-data/[...path]/route.ts
 delete mode 100644 packages/app/src/lib/collectivex-github.test.ts
 create mode 100644 packages/app/src/lib/collectivex-lazy-ingest.test.ts
 rename packages/app/src/lib/{collectivex-github.ts => collectivex-lazy-ingest.ts} (57%)
 create mode 100644 packages/db/migrations-collectivex/001_initial_schema.sql
 create mode 100644 packages/db/src/collectivex/artifact-selection.test.ts
 create mode 100644 packages/db/src/collectivex/artifact-selection.ts
 rename packages/{app/src/components => db/src}/collectivex/reader.test.ts (100%)
 rename packages/{app/src/components => db/src}/collectivex/reader.ts (88%)
 create mode 100644 packages/db/src/collectivex/test-fixture.ts
 create mode 100644 packages/db/src/collectivex/types.ts
 create mode 100644 packages/db/src/ingest-collectivex.ts
 create mode 100644 packages/db/src/lib/migration-runner.test.ts
 create mode 100644 packages/db/src/lib/migration-runner.ts
 create mode 100644 packages/db/src/migrate-collectivex.ts
 create mode 100644 packages/db/src/queries/collectivex.test.ts
 create mode 100644 packages/db/src/queries/collectivex.ts

diff --git a/.agents/skills/neon-postgres/SKILL.md b/.agents/skills/neon-postgres/SKILL.md
new file mode 100644
index 000000000..bac7910c7
--- /dev/null
+++ b/.agents/skills/neon-postgres/SKILL.md
@@ -0,0 +1,376 @@
+---
+name: neon-postgres
+description: >-
+  Guides and best practices for working with Neon Serverless Postgres.
+  Covers setup, connection methods, branching, autoscaling, scale-to-zero,
+  read replicas, connection pooling, Neon Auth, and the Neon CLI, MCP server,
+  REST API, TypeScript SDK, and Python SDK.
+  Use when users ask about "Neon setup", "connect to Neon", "Neon project",
+  "DATABASE_URL", "serverless Postgres", "Neon CLI", "neon", "Neon MCP",
+  "Neon Auth", "@neondatabase/serverless", "@neondatabase/neon-js",
+  "scale to zero", "Neon autoscaling", "Neon read replica", or
+  "Neon connection pooling".
+---
+
+# Neon Serverless Postgres
+
+Guide the user through any Neon-related task: setup, connections, branching, and advanced features. Deliver a working Neon connection, a completed feature configuration, or a specific answer from the official Neon docs.
+
+Neon is a serverless Postgres platform that separates compute and storage to offer autoscaling, branching, instant restore, and scale-to-zero. It's fully compatible with Postgres and works with any language, framework, or ORM that supports Postgres.
+
+## Neon Documentation
+
+The Neon documentation is the source of truth for all Neon-related information. Always verify claims against the official docs before responding. Neon features and APIs evolve, so prefer fetching current docs over relying on training data.
+
+### Fetching Docs as Markdown
+
+Any Neon doc page can be fetched as markdown in two ways:
+
+1. **Append `.md` to the URL** (simplest): https://neon.com/docs/introduction/branching.md
+2. **Request `text/markdown`** on the standard URL: `curl -H "Accept: text/markdown" https://neon.com/docs/introduction/branching`
+
+Both return the same markdown content. Use whichever method your tools support.
+
+### Finding the Right Page
+
+The docs index lists every available page with its URL and a short description:
+
+```
+https://neon.com/docs/llms.txt
+```
+
+Common doc URLs are organized in the topic links below. If you need a page not listed here, search the docs index: https://neon.com/docs/llms.txt. Don't guess URLs.
+
+## What Is Neon
+
+Use this for architecture explanations and terminology (organizations, projects, branches, endpoints) before giving implementation advice.
+
+Link: https://neon.com/docs/introduction/architecture-overview.md
+
+## Getting Started
+
+Use this section when guiding a user through first-time Neon setup.
+
+### Check Status Quo
+
+Before starting setup, inspect the user's codebase and environment:
+
+- Existing database connection code
+- Existing Neon MCP server or Neon CLI configuration
+- Existence of a `.env` file and `DATABASE_URL` environment variable
+- Existing ORM (Prisma, Drizzle, TypeORM) configuration
+
+### Self-Driving Setup With Neon's CLI or MCP Server
+
+Offer to inspect existing connected Neon projects or create new ones using the Neon CLI or MCP server. If neither is set up yet, run init with the `--agent` flag. Use `npx -y` to skip the package install prompt. Auth is handled automatically. If the user is not logged in, it opens their browser for OAuth and waits for completion before proceeding.
+
+```bash
+npx -y neon@latest init --agent <agent-name>
+```
+
+Supported `--agent` values: `cursor`, `copilot`, `claude`, `claude-desktop`, `codex`, `opencode`, `cline`, `gemini-cli`, `goose`, `zed`.
+
+This installs the Neon extension (for Cursor/VS Code) or MCP server (for other agents), creates an API key, and adds the `neon-postgres` agent skill to the project.
+
+If `init` is not suitable, the individual steps can be run non-interactively:
+
+- **Extension:** `cursor --install-extension databricks.neon-local-connect`
+- **MCP server:** `npx -y add-mcp https://mcp.neon.tech/mcp -g -n Neon -y -a <agent-name>`
+- **Agent skill:** `npx skills add neondatabase/agent-skills --skill neon-postgres --agent <agent-name> -y`
+
+For full CLI installation options, see https://neon.com/docs/cli/install.md
+
+### Setup Flow
+
+**1. Select Organization and Project**
+
+Use MCP server or CLI to list organizations and projects. Let the user select an existing project or create a new one.
+
+**2. Get Connection String**
+
+Use MCP server or CLI to get the connection string. Store it in `.env` as `DATABASE_URL`. Read the file first before modifying to avoid overwriting existing values.
+
+**3. Pick Connection Method & Driver**
+
+Refer to the connection methods guide to pick the correct driver based on deployment platform: https://neon.com/docs/connect/choose-connection.md
+
+**4. User Authentication with Neon Auth (if needed)**
+
+Skip for CLI tools, scripts, or apps without user accounts. If the app needs auth: use MCP server `provision_neon_auth` tool, then see the auth overview (https://neon.com/docs/auth/overview.md) for setup. For auth + database queries, see the JavaScript SDK reference (https://neon.com/docs/reference/javascript-sdk.md).
+
+**5. ORM Setup (optional)**
+
+Check for existing ORM (Prisma, Drizzle, TypeORM). If none, ask if they want one. For Drizzle integration, see https://neon.com/docs/guides/drizzle.md.
+
+**6. Schema Setup**
+
+- Check for existing migration files or ORM schemas
+- If none: offer to create an example schema or design one together
+
+### Resume Support
+
+If resuming setup, check what's already configured (MCP connection, `.env` with `DATABASE_URL`, dependencies, schema) and continue from the next incomplete step.
+
+### Security Reminders
+
+Remind users to use environment variables for credentials, never commit connection strings, and use least-privilege database roles.
+
+## Connection Methods & Drivers
+
+Use this when you need to pick the correct transport and driver based on runtime constraints (TCP, HTTP, WebSocket, edge, serverless, long-running).
+
+Link: https://neon.com/docs/connect/choose-connection.md
+
+### Recommended: Drizzle + the right driver for your runtime
+
+Always pair Neon with an ORM such as **Drizzle** for easy schema management and migrations. Pick the driver based on how the runtime treats your code:
+
+- **Long-running or shared-runtime environments → node-postgres (`pg`).** Neon Functions, and any host where the function runtime is shared across requests / runs on fluid compute (e.g. **Vercel** with Fluid compute), keep a module-scope process alive across many requests. Open a `pg` pool **once at module scope** and reuse it across requests.
+- **Fully isolated serverless (Lambda-style) → Neon's serverless driver (`@neondatabase/serverless`).** Hosts like **Netlify** spin up a fresh, isolated instance per request, so a persistent TCP pool can't be reused; the serverless driver queries over HTTP and is built for this.
+
+**Neon Functions / Vercel / fluid compute — Drizzle + node-postgres:**
+
+```typescript
+import { drizzle } from 'drizzle-orm/node-postgres';
+import { Pool } from 'pg';
+import * as schema from './schema';
+
+// Created once at module scope; reused by every request the instance handles.
+const pool = new Pool({ connectionString: process.env.DATABASE_URL, max: 5 });
+const db = drizzle({ client: pool, schema });
+```
+
+On **Vercel** (Fluid compute) also attach the pool with `attachDatabasePool` from `@vercel/functions`, so the function runtime drains idle connections before an instance suspends:
+
+```typescript
+import { drizzle } from 'drizzle-orm/node-postgres';
+import { Pool } from 'pg';
+import { attachDatabasePool } from '@vercel/functions';
+import * as schema from './schema';
+
+const pool = new Pool({ connectionString: process.env.DATABASE_URL });
+attachDatabasePool(pool); // let the Vercel runtime manage the pooled connections
+const db = drizzle({ client: pool, schema });
+```
+
+**Netlify and other fully-isolated serverless — Drizzle + Neon serverless driver:**
+
+```typescript
+import { drizzle } from 'drizzle-orm/neon-http';
+import { neon } from '@neondatabase/serverless';
+
+const sql = neon(process.env.DATABASE_URL!);
+const db = drizzle({ client: sql });
+```
+
+### Serverless Driver
+
+Use this for `@neondatabase/serverless` patterns, including HTTP queries, WebSocket transactions, and runtime-specific optimizations.
+
+Link: https://neon.com/docs/serverless/serverless-driver.md
+
+### Neon JS SDK
+
+Use this for combined Neon Auth + Data API workflows with PostgREST-style querying and typed client setup.
+
+Link: https://neon.com/docs/reference/javascript-sdk.md
+
+## Developer Tools
+
+Use this for local development enablement with `npx -y neon@latest init --agent <agent-name>`, VSCode extension setup, and Neon MCP server configuration.
+
+| Tool             | URL                                             |
+| ---------------- | ----------------------------------------------- |
+| CLI Init Command | https://neon.com/docs/cli/init.md               |
+| VSCode Extension | https://neon.com/docs/local/vscode-extension.md |
+| MCP Server       | https://neon.com/docs/ai/neon-mcp-server.md     |
+| Neon CLI         | https://neon.com/docs/cli.md                    |
+
+### Neon CLI
+
+Use this for terminal-first workflows, scripts, and CI/CD automation with `neon`.
+
+Link: https://neon.com/docs/cli.md
+
+## Neon Admin API
+
+The Neon Admin API can be used to manage Neon resources programmatically. It is used behind the scenes by the Neon CLI and MCP server, but can also be used directly for more complex automation workflows or when embedding Neon in other applications.
+
+### Neon REST API
+
+Use this for direct HTTP automation, endpoint-level control, API key auth, rate-limit handling, and operation polling.
+
+Link: https://neon.com/docs/reference/api-reference.md
+
+### Neon TypeScript SDK
+
+Use this when implementing typed programmatic control of Neon resources in TypeScript via `@neon/sdk` (the fetch-based, zero-dependency successor to `@neondatabase/api-client`). For the full API surface — client config, the `{ data, error }` result model, typed errors, readiness/workflow helpers (`createAndConnect`, `createWithCompute`), pagination, every resource namespace, and the raw layer — see [references/neon-sdk.md](https://neon.com/docs/ai/skills/neon-postgres/references/neon-sdk.md).
+
+Link: https://neon.com/docs/reference/typescript-sdk.md
+
+### Neon Python SDK
+
+Use this when implementing programmatic Neon management in Python with the `neon-api` package.
+
+Link: https://neon.com/docs/reference/python-sdk.md
+
+## Neon Auth
+
+Use this for managed user authentication setup, UI components, auth methods, and Neon Auth integration pitfalls in Next.js and React apps.
+
+Link: https://neon.com/docs/auth/overview.md
+
+Neon Auth is also embedded in the Neon JS SDK. Depending on your use case, you may want to use the Neon JS SDK instead of Neon Auth alone. See https://neon.com/docs/connect/choose-connection.md for more details.
+
+## Neon Infrastructure as Code (`neon.ts`)
+
+`neon.ts` is Neon's branch config and infrastructure-as-code file: declare which services your branches have, get type-safe env vars, and program per-branch compute — all in TypeScript (see the `neon` skill for the full reference). Postgres always exists on every branch, so you never declare the database itself; what you codify here is the Postgres-adjacent surface — Neon Auth, the Data API, and per-branch compute settings (autoscaling and scale-to-zero).
+
+Add it with `@neon/config`:
+
+```bash
+npm i @neon/config
+```
+
+```typescript
+// neon.ts
+import { defineConfig } from '@neon/config/v1';
+
+export default defineConfig({
+  auth: true, // Neon Auth (adds NEON_AUTH_* env vars)
+  dataApi: true, // Data API (adds NEON_DATA_API_URL); requires auth: true (or an external IdP)
+  // Postgres exists on every branch; tune its compute per branch:
+  branch: (branch) => {
+    if (branch.exists) return {}; // leave existing branches untouched
+    if (branch.isDefault) return { protected: true }; // prod keeps default compute
+    return {
+      ttl: '7d', // non-prod branches auto-expire (max 30d)
+      postgres: {
+        computeSettings: {
+          autoscalingLimitMinCu: 0.25, // scale to zero
+          autoscalingLimitMaxCu: 1, // keep dev/preview cheap
+          suspendTimeout: '5m',
+        },
+      },
+    };
+  },
+});
+```
+
+Reconcile the declaration from the CLI — the Neon equivalent of `terraform plan` / `apply`:
+
+```bash
+neon config status   # print the branch's live config
+neon config plan     # dry-run diff of what apply would change
+neon config apply    # provision the declared services / settings
+neon deploy          # alias for `neon config apply`
+```
+
+Because `neon checkout` applies the policy as it **creates** a branch, a fresh branch comes up with these compute settings (and Auth / Data API) already in place. Checking out an _existing_ branch never reconciles it — run `neon deploy` to apply changes.
+
+Since `neon.ts` is TypeScript, invalid combinations fail to compile with an actionable message: the Data API verifies requests with Neon Auth by default, so `dataApi: true` without `auth: true` is a type error (the fix — `auth: true`, or `authProvider: 'external'` with a `jwksUrl` — is in the message). See the `neon` skill's type-safe config note.
+
+Read the resulting env back, typed and validated against the policy, with `parseEnv` from `@neon/env`:
+
+```typescript
+import { parseEnv } from '@neon/env';
+import config from './neon';
+
+const env = parseEnv(config);
+env.postgres.databaseUrl; // typed; enabling auth / dataApi above surfaces env.auth / env.dataApi
+```
+
+## Branching
+
+Use this when the user is planning isolated environments, schema migration testing, preview deployments, or branch lifecycle automation.
+
+Key points:
+
+- Branches are instant, copy-on-write clones (no full data copy).
+- Each branch has its own compute endpoint.
+- Use the neon CLI or MCP server to create, inspect, and compare branches.
+
+Link: https://neon.com/docs/introduction/branching.md
+
+For detailed branch creation workflows (normal vs schema-only branches, reset-from-parent, CLI/MCP selection), use the `neon-postgres-branches` skill if available
+
+Or fetch the full branching skill from the following URL:
+
+https://neon.com/docs/ai/skills/neon-postgres-branches/SKILL.md
+
+If this skill is not installed you can use the following command to install it:
+
+```bash
+npx skills add neondatabase/agent-skills --skill neon-postgres-branches
+```
+
+## Autoscaling
+
+Use this when the user needs compute to scale automatically with workload and wants guidance on CU sizing and runtime behavior.
+
+Link: https://neon.com/docs/introduction/autoscaling.md
+
+## Scale to Zero
+
+Use this when optimizing idle costs and discussing suspend/resume behavior, including cold-start trade-offs.
+
+Key points:
+
+- Idle computes suspend automatically (default 5 minutes, configurable) (unless disabled - launch & scale plan only)
+- First query after suspend typically has a cold-start penalty (around hundreds of ms)
+- Storage remains active while compute is suspended.
+
+Link: https://neon.com/docs/introduction/scale-to-zero.md
+
+## Instant Restore
+
+Use this when the user needs point-in-time recovery or wants to restore data state without traditional backup restore workflows.
+
+Key points:
+
+- History windows for instant restore depend on plan limits.
+- Users can create branches from historical points-in-time.
+- Time Travel queries can be used for historical inspection workflows.
+
+Link: https://neon.com/docs/introduction/branch-restore.md
+
+## Read Replicas
+
+Use this for read-heavy workloads where the user needs dedicated read-only compute without duplicating storage.
+
+Key points:
+
+- Replicas are read-only compute endpoints sharing the same storage.
+- Creation is fast and scaling is independent from primary compute.
+- Typical use cases: analytics, reporting, and read-heavy APIs.
+
+Link: https://neon.com/docs/introduction/read-replicas.md
+
+## Connection Pooling
+
+Use this when the user is in serverless or high-concurrency environments and needs safe, scalable Postgres connection management.
+
+Key points:
+
+- Neon pooling uses PgBouncer.
+- Add `-pooler` to endpoint hostnames to use pooled connections.
+- Pooling is especially important in serverless runtimes with bursty concurrency.
+
+Link: https://neon.com/docs/connect/connection-pooling.md
+
+## IP Allow Lists
+
+Use this when the user needs to restrict database access by trusted networks, IPs, or CIDR ranges.
+
+Link: https://neon.com/docs/introduction/ip-allow.md
+
+## Logical Replication
+
+Use this when integrating CDC pipelines, external Postgres sync, or replication-based data movement.
+
+Key points:
+
+- Neon supports native logical replication workflows.
+- Useful for replicating to/from external Postgres systems.
+
+Link: https://neon.com/docs/guides/logical-replication-guide.md
diff --git a/.agents/skills/neon-postgres/references/neon-sdk.md b/.agents/skills/neon-postgres/references/neon-sdk.md
new file mode 100644
index 000000000..65f4bc128
--- /dev/null
+++ b/.agents/skills/neon-postgres/references/neon-sdk.md
@@ -0,0 +1,265 @@
+# `@neon/sdk` — the TypeScript client for the Neon API
+
+`@neon/sdk` is the official TypeScript client for the [Neon API](https://neon.com/docs/reference/api-reference): **Fetch-based, zero-dependency, ESM-only**, generated from Neon's [OpenAPI spec](https://neon.com/api_spec/release/v2.json) with an ergonomic layer on top. It is the successor to [`@neondatabase/api-client`](https://www.npmjs.com/package/@neondatabase/api-client) (axios-based, generated-only). The old client is **not deprecated** and is safe to keep using, but new code should prefer `@neon/sdk`.
+
+Use this reference when writing typed, programmatic control of Neon resources in TypeScript — provisioning projects, managing branches/databases/endpoints, transferring projects across orgs, snapshots/restore, consumption metrics, and the beta services (Object Storage, Functions, AI Gateway, scoped credentials).
+
+## When to reach for it (vs MCP / CLI)
+
+- **Neon MCP server and CLI** are for **local development** — a coding agent in your editor or terminal.
+- **`@neon/sdk`** is for **programmatic integration**: CI/CD pipelines where the CLI isn't enough, non-trivial dev scripts, and full platforms that provision and manage fleets of Neon databases (the same open API behind Replit, Netlify DB, Laravel Cloud, and Vercel's Neon marketplace integration). All it needs is a Neon API key.
+
+## Install
+
+```bash
+npm install @neon/sdk
+```
+
+Requires Node.js ≥ 20.19, or any runtime with a global `fetch` (Bun, Deno, edge, browser).
+
+## Two layers, one package
+
+```ts
+import { createNeonClient, raw } from '@neon/sdk';
+```
+
+- **`createNeonClient`** — the high-level ergonomic client: auth once, `{ data, error }` results, typed errors, retries, readiness polling, auto-pagination, and multi-step workflows, organized into resource namespaces (`neon.projects`, `neon.branches`, `neon.postgres`, …).
+- **`raw`** — the full generated 1:1 surface: every endpoint as a standalone, tree-shakeable function (also at the `@neon/sdk/raw` subpath). Speaks the **same** `{ data, error }` / `throwOnError` contract as the ergonomic client.
+
+## Quick start
+
+```ts
+import { createNeonClient } from '@neon/sdk';
+
+const neon = createNeonClient({ apiKey: process.env.NEON_API_KEY! });
+
+// Create a project and get a ready-to-use connection string in one call.
+const { data, error } = await neon.projects.createAndConnect({ name: 'my-app' });
+if (error) throw error;
+const { project, connectionString } = data;
+```
+
+## Client configuration
+
+`createNeonClient(config)`:
+
+| Option             | Type                                          | Default                            | Description                                                                                                                                           |
+| ------------------ | --------------------------------------------- | ---------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `apiKey`           | `string \| (() => string \| Promise<string>)` | — (required)                       | Neon API key, or a function returning it. Sent as a Bearer token.                                                                                     |
+| `throwOnError`     | `boolean`                                     | `false`                            | `true` → methods return the resource directly and **throw** on error. `false` → return `{ data, error }`. **Narrows return types** at the type level. |
+| `waitForReadiness` | `boolean`                                     | `false`                            | `true` → mutations block until their provisioning `operations` finish, so the returned resource is ready.                                             |
+| `wait`             | `{ pollIntervalMs?; timeoutMs? }`             | `1000` / `300000`                  | Readiness poller tuning.                                                                                                                              |
+| `retries`          | `number`                                      | `2`                                | Automatic retries on always-safe statuses (`423`, `429`, `503`) with backoff.                                                                         |
+| `orgId`            | `string`                                      | —                                  | Default org for project create/list and as the transfer source org. Overridable per call.                                                             |
+| `baseUrl`          | `string`                                      | `https://console.neon.tech/api/v2` | Override the API base URL.                                                                                                                            |
+| `fetch`            | `typeof fetch`                                | global `fetch`                     | Custom fetch (proxies, tests, non-global runtimes).                                                                                                   |
+
+Every option except `apiKey` is also accepted **per call** via the trailing `options` arg (`{ throwOnError?, waitForReadiness?, signal? }`), overriding the client default.
+
+## The result model
+
+By default every method resolves to a discriminated `{ data, error }` envelope — no `try/catch`:
+
+```ts
+const { data, error } = await neon.projects.get('late-frost-12345');
+if (error) return; // error is a typed NeonError union
+data; // narrowed to Project
+```
+
+Set `throwOnError` (on the client or per call) to get the bare resource and throw instead — the return type narrows accordingly:
+
+```ts
+const neon = createNeonClient({ apiKey, throwOnError: true });
+const project = await neon.projects.get('…'); // Project (throws)
+const res = await neon.projects.get('…', { throwOnError: false }); // { data, error }
+```
+
+## Errors
+
+The `error` channel carries a typed hierarchy (all `Error` subclasses with a `kind` discriminant); the same value is thrown when `throwOnError` is set.
+
+| Class                | `kind`         | Notable fields                                               |
+| -------------------- | -------------- | ------------------------------------------------------------ |
+| `NeonError`          | (base)         | `message`, `kind`                                            |
+| `NeonApiError`       | `"api"`        | `status`, `code`, `requestId`, `response`, `body`            |
+| `NeonNotFoundError`  | `"not_found"`  | 404 — extends `NeonApiError`                                 |
+| `NeonAuthError`      | `"auth"`       | 401/403                                                      |
+| `NeonRateLimitError` | `"rate_limit"` | 429 (after retries)                                          |
+| `NeonOperationError` | `"operation"`  | `operationId`, `status` — an awaited operation failed        |
+| `NeonTimeoutError`   | `"timeout"`    | readiness/wait deadline exceeded                             |
+| `NeonNetworkError`   | `"network"`    | transport failure (no response)                              |
+| `NeonError`          | `"client"`     | SDK-side errors (e.g. ambiguous connection-string selection) |
+
+```ts
+const { error } = await neon.branches.get(pid, 'nope');
+if (error?.kind === 'not_found') {
+  /* … */
+}
+```
+
+## Pagination
+
+Cursor-paginated `list()` methods return a lazy `Paginated<T>`:
+
+```ts
+const { data: all }  = await neon.projects.list().all();   // every page → { data, error }
+const { data: page } = await neon.projects.list().page();  // one page
+for await (const project of neon.projects.list()) { … }    // stream; throws on a page error
+```
+
+## Readiness & workflows
+
+Neon mutations are asynchronous — they return `operations`. `waitForReadiness` blocks until they settle; the **workflow** methods (`createAndConnect`, `createWithCompute`) default it on and hand back a connection string in one call. The underlying primitive is `neon.operations.waitFor(operations)`.
+
+## API surface (ergonomic client)
+
+Legend: **[P]** returns `Paginated<T>` · **[W]** workflow (multi-step) · **→void** resolves to `void`.
+
+### `neon.projects`
+
+| Method                                          | Returns                                 | Notes                                                                                                          |
+| ----------------------------------------------- | --------------------------------------- | -------------------------------------------------------------------------------------------------------------- |
+| `list(query?)`                                  | **[P]** `ProjectListItem`               | `{ search?, org_id?, limit? }`                                                                                 |
+| `get(id)`                                       | `Project`                               |                                                                                                                |
+| `create(input?)`                                | `Project`                               | `{ name?, region_id?, pg_version?, org_id?, autoscaling_limit_min_cu?, autoscaling_limit_max_cu?, settings? }` |
+| `createAndConnect(input?, { pooled? })`         | **[W]** `{ project, connectionString }` | one call + readiness; `pooled` default `true`                                                                  |
+| `update(id, input)`                             | `Project`                               | `{ name?, settings? }`                                                                                         |
+| `delete(id)`                                    | `Project`                               |                                                                                                                |
+| `transfer({ fromOrgId?, toOrgId, projectIds })` | **→void**                               | `fromOrgId` defaults to client `orgId`                                                                         |
+| `transferFromUser({ toOrgId, projectIds })`     | **→void**                               | personal account → org                                                                                         |
+| `recover(id)`                                   | `Project`                               | beta — recover a soft-deleted project                                                                          |
+| `permissions.list / grant / revoke`             | `ProjectPermission`(`[]`)               | share a project by email                                                                                       |
+
+```ts
+// Provision a project and get a pooled connection string in one call
+const { data } = await neon.projects.createAndConnect(
+  { name: 'tenant-42', region_id: 'aws-us-east-1' },
+  { pooled: true },
+); // data: { project, connectionString }
+
+// Upgrade path: move projects from a sponsored (free) org to the paid org
+await neon.projects.transfer({
+  fromOrgId: sponsoredOrgId, // defaults to the client's `orgId`
+  toOrgId: paidOrgId,
+  projectIds: ['late-frost-12345'],
+});
+```
+
+### `neon.branches`
+
+| Method                                                      | Returns                                          | Notes                                                                                 |
+| ----------------------------------------------------------- | ------------------------------------------------ | ------------------------------------------------------------------------------------- |
+| `list(projectId, query?)`                                   | **[P]** `Branch`                                 | `{ search?, sort_by?, sort_order?, include_deleted? }`                                |
+| `get(projectId, branchId)`                                  | `Branch`                                         |                                                                                       |
+| `create(projectId, input?)`                                 | `Branch`                                         | `{ name?, parent_id?, parent_lsn?, parent_timestamp?, protected? }`                   |
+| `update(projectId, branchId, input)`                        | `Branch`                                         | `{ name?, protected?, expires_at? }`                                                  |
+| `delete(projectId, branchId)`                               | **→void**                                        |                                                                                       |
+| `createWithCompute(projectId, input, { pooled? })`          | **[W]** `{ branch, endpoint, connectionString }` | `input`: `{ name?, parentId?, compute?: { minCu?, maxCu?, suspendTimeoutSeconds? } }` |
+| `getDefault(projectId)` / `setDefault(projectId, branchId)` | `Branch`                                         | resolve/set the default branch                                                        |
+| `recover(projectId, branchId)`                              | `Branch`                                         | beta — recover within the 7-day window                                                |
+| `finalizeRestore(projectId, branchId, { name? }?)`          | **→void**                                        | commit a restore previewed with `snapshots.restore`                                   |
+
+```ts
+// Branch off the default branch with its own compute — returns a ready connection string
+const { data: prod } = await neon.branches.getDefault(projectId);
+const { data } = await neon.branches.createWithCompute(projectId, {
+  name: 'preview/pr-123',
+  parentId: prod?.id,
+  compute: { minCu: 0.25, maxCu: 2 },
+}); // data: { branch, endpoint, connectionString }
+```
+
+### `neon.postgres`
+
+The Postgres data plane of a branch. `neon.postgres.connectionString(params, options?)` resolves a URI, **auto-selecting** the default branch and the sole role/database when omitted:
+
+```ts
+const { data: uri } = await neon.postgres.connectionString({
+  projectId, // branchId?, endpointId?, databaseName?, roleName?, pooled? all optional; pooled default true
+});
+```
+
+Nested namespaces:
+
+- **`neon.postgres.endpoints`** — `list / get / create / update / delete`, plus `start` / `suspend` / `restart` and `listByBranch(projectId, branchId)`.
+- **`neon.postgres.roles`** — `list / get / create / delete`, plus `password(...)` (reveals) and `resetPassword(...)` (rotates; result carries the new password).
+- **`neon.postgres.databases`** — `list / get / create / update / delete`.
+- **`neon.postgres.dataApi`** — `get / create / update / delete` the branch's Data API.
+
+### Beta services
+
+- **`neon.storage`** — branch object storage. `get(projectId, branchId)` → `BranchStorage`; nested `buckets` (`list / create / delete`) and `objects` (`list / get / delete / deleteByPrefix / presign`). Use `presign(..., { operation: "upload" | "download" })` for direct S3-style transfers.
+- **`neon.functions`** — branch Neon Functions. `list` **[P]** `/ get / update / delete`, and `deploy(projectId, branchId, slug, { zip?, runtime?, environment? })` (multipart; poll `get` until `current_deployment.status === "completed"`).
+- **`neon.credentials`** — branch scoped credentials. `list / create / revoke`; secrets (`api_token`, `s3_secret_access_key`) are returned **once** on `create`. Scopes: `storage:read`, `storage:write`, `ai_gateway:invoke`, `functions:invoke`.
+- **`neon.aiGateway`** — `get(projectId, branchId)` → `BranchAiGateway` (404 when the gateway is not enabled on the branch). See the `neon-ai-gateway` skill for calling the gateway itself.
+
+### `neon.snapshots`
+
+| Method                                                | Returns                      | Notes                                                      |
+| ----------------------------------------------------- | ---------------------------- | ---------------------------------------------------------- |
+| `list(projectId)`                                     | `Snapshot[]`                 |                                                            |
+| `create(projectId, branchId, input?)`                 | `Snapshot`                   | `{ name?, timestamp?, lsn?, expiresAt? }` (point-in-time)  |
+| `update(projectId, snapshotId, input)`                | `Snapshot`                   | `{ name?, expiresAt? }` — `expiresAt: null` clears the TTL |
+| `delete(projectId, snapshotId)`                       | **→void**                    |                                                            |
+| `restore(projectId, snapshotId, input?)`              | `Branch`                     | see below                                                  |
+| `getSchedule` / `setSchedule(projectId, branchId, …)` | `BackupSchedule` / **→void** |                                                            |
+
+`restore` input: `{ name?, targetBranchId?, finalize?, preview?, keepOnAbort? }`.
+
+- Restoring **as a new branch** (no `targetBranchId`) finalizes by default → ready to use.
+- Restoring **onto an existing branch** doesn't finalize by default, so you can preview first.
+- **Transaction-style** `preview`: restores un-finalized, runs your callback, then **finalizes (commit)** on `true` or **deletes the preview branch (abort)** on `false` (unless `keepOnAbort`):
+
+```ts
+await neon.snapshots.restore(projectId, snapshotId, {
+  targetBranchId,
+  preview: async (branch) => (await checks(branch)) === 'ok', // true → commit · false → abort
+});
+```
+
+### `neon.operations` / `neon.consumption` / `neon.apiKeys` / `neon.regions` / `neon.user` / `neon.auth`
+
+- **`operations`** — `list` **[P]** `/ get`, and `waitFor(operations, { pollIntervalMs?, timeoutMs?, signal? })` (the readiness primitive).
+- **`consumption`** — cursor-paginated billing metrics: `perProject`, `perProjectV2`, `perBranchV2` (each takes `{ from, to, granularity, project_ids?, org_id? }`; `perBranchV2` requires `project_ids`). Consumption requires a Scale plan or above.
+- **`apiKeys`** — `list / create(keyName) / revoke`; the created `key` token is shown **once**.
+- **`regions.list()`**, **`user.me()` / `user.organizations()`**.
+- **`auth`** — branch-scoped Neon Auth: `get / create / disable / updateConfig`, plus `oauthProviders`, `trustedDomains`, and `users` sub-resources.
+
+## Drop down to the raw client
+
+The ergonomic namespaces don't wrap every endpoint. For anything else, `raw` exposes every endpoint 1:1 — pass `neon.client` so the call reuses the client's auth:
+
+```ts
+import { raw } from '@neon/sdk';
+// or, for guaranteed tree-shaking: import { getProjectBranchSchema } from "@neon/sdk/raw";
+
+const { data, error } = await raw.getProjectBranchSchema({
+  client: neon.client,
+  path: { project_id, branch_id },
+  query: { db_name: 'neondb' }, // db_name is required
+});
+```
+
+The raw layer speaks the same result contract: `{ data, error }` by default, or pass `throwOnError: true` for the bare resource. All request/response/error **types** are re-exported flat from `@neon/sdk` for `import type { Project, Branch, … }`.
+
+Wait on operations from a raw mutation with the readiness primitive:
+
+```ts
+const { data } = await raw.createProjectBranch({
+  client: neon.client,
+  path: { project_id: projectId },
+  body: { branch: { name: 'wip' } },
+});
+const { error } = await neon.operations.waitFor(data!.operations, { timeoutMs: 120_000 });
+```
+
+## Migrating from `@neondatabase/api-client`
+
+There's no rush — `@neondatabase/api-client` is not being deprecated. When you do move: swap axios-style `try/catch` for the `{ data, error }` envelope (or set `throwOnError: true` to keep throwing), and replace hand-rolled operation polling with `waitForReadiness` / the workflow methods (`createAndConnect`, `createWithCompute`).
+
+## Further reading
+
+- npm: https://www.npmjs.com/package/@neon/sdk
+- Neon TypeScript SDK docs: https://neon.com/docs/reference/typescript-sdk.md
+- Neon API reference: https://neon.com/docs/reference/api-reference
+- Building a platform on Neon: the `neon-for-agent-platforms` skill (`npx skills add neondatabase/neon-for-agent-platforms`) ships runnable `@neon/sdk` scripts for provisioning, branching, snapshots, project transfer, and consumption metrics.
diff --git a/.agents/skills/neon/SKILL.md b/.agents/skills/neon/SKILL.md
new file mode 100644
index 000000000..d473be14f
--- /dev/null
+++ b/.agents/skills/neon/SKILL.md
@@ -0,0 +1,350 @@
+---
+name: neon
+description: >-
+  Overview of the Neon platform for apps and agents, spanning Postgres, Auth,
+  the Data API, and the new services: Object Storage, Compute Functions, and AI
+  Gateway. Use when "Neon" is mentioned, or when any of its individual
+  capabilities are the trigger: "object storage" or "S3", "buckets", "serverless
+  functions", "AI gateway", "call an LLM", "postgres", "database", or "backend".
+---
+
+# Neon
+
+Important: Neon is no longer just a Serverless Postgres provider. Neon is the backend for apps and agents with Serverless Postgres, Auth, Functions, Object Storage, and an AI Gateway: instant, branchable, serverless.
+
+Use this skill as the starting point for anything Neon: get an overview of its capabilities, find your way around the Neon agent skills and documentation, and follow best practices for getting started and for branch-first development workflows.
+
+## Platform Services
+
+Neon bundles several backend primitives for building apps and agents that all branch together with your project:
+
+- **Postgres** — Serverless Postgres that scales and branches with your app. _Generally available._
+- **Auth** — Managed authentication with users and sessions stored in Postgres. _Generally available._
+- **Object Storage** — S3-compatible object storage that branches with your projects. _Public beta._
+- **Functions** — Long-running serverless functions - Neon's compute offering - running close to your database — for WebSocket servers, long agent HTTP streams, APIs, and server-sent event servers. _Public beta._
+- **AI Gateway** — One API for all frontier and open-source models, with routing, logging, and cost controls, powered by Databricks. _Public beta._
+
+### Public Beta Service Availability
+
+Object Storage, Functions, and AI Gateway are in public beta.
+
+Beta access features are only available on net-new projects created in the `us-east-2` region; they cannot be enabled on existing projects for now. Before guiding a user through any of these services, confirm they are working with a new project in `us-east-2`. If not, they will need to create a new project in that region.
+
+## Architecture: how Neon fits
+
+Neon is **not** a place to host your full-stack app — it's backend primitives (Postgres, Auth, Object Storage, Functions, AI Gateway) that **compose with** the application platform you already use. Host the app on **Vercel** (or Netlify, or another frontend/app host); Neon is the backend it talks to.
+
+A typical setup:
+
+- **Full-stack app on Vercel** (or Netlify) — e.g. Next.js or TanStack Start. It owns your UI and auth (e.g. **Neon Auth**) and talks directly to your **Neon Postgres** database and **Neon Object Storage**.
+- **Reach for Neon Functions when you outgrow the host's limits** — a WebSocket or SSE server, or long-running agents that risk timing out on short, lambda-style serverless. Run that one piece on a Neon Function, next to your data.
+
+You can also move your **whole backend control plane** onto Neon Functions. This is especially useful when the frontend is **client-only** rather than full-stack — TanStack Router, React Router in client mode, and similar SPAs hosted on Vercel or Netlify. The client talks **directly to Neon Functions**, where you build REST APIs and request/response agents, host **MCP servers**, and run anything stateful or that should live close to Postgres and Object Storage. Secure these functions like any standalone REST API — verify a JWT or API key at the top of each handler (see the `neon-functions` skill).
+
+Because Functions are just your backend, they compose with a full-stack app too: if you already have a backend (Next.js route handlers, etc.), Neon Functions sit alongside it, and you can **move pieces between the two** — e.g. relocate a long-running agent or a stateful WebSocket server off your host onto a Function when it needs more runtime.
+
+## Neon Documentation
+
+The Neon documentation is the source of truth for all Neon-related information. Always verify claims against the official docs before responding. Neon features and APIs evolve, so prefer fetching current docs over relying on training data.
+
+### Fetching Docs as Markdown
+
+Any Neon doc page can be fetched as markdown in two ways:
+
+1. **Append `.md` to the URL** (simplest): https://neon.com/docs/introduction/branching.md
+2. **Request `text/markdown`** on the standard URL: `curl -H "Accept: text/markdown" https://neon.com/docs/introduction/branching`
+
+Both return the same markdown content. Use whichever method your tools support.
+
+### Finding the Right Page
+
+The docs index lists every available page with its URL and a short description:
+
+```
+https://neon.com/docs/llms.txt
+```
+
+Common doc URLs are organized in the topic links below. If you need a page not listed here, search the docs index: https://neon.com/docs/llms.txt. Don't guess URLs.
+
+## Choosing the Right Skill
+
+- Working with the database, connections, schema, queries, autoscaling, or the CLI/MCP/API → `neon-postgres`.
+- Choosing or creating the right branch type for dev, preview, test, or CI workflows → `neon-postgres-branches`.
+- Storing and serving files (uploads, images, blobs) that branch with the database → `neon-object-storage`.
+- Deploying long-running or streaming serverless functions — APIs, agents, SSE/WebSocket servers — next to the database → `neon-functions`.
+- Calling an LLM or routing across model providers with one credential — including discovering the branch's servable models at runtime via the OpenAI-compatible `/v1/models` endpoint → `neon-ai-gateway`.
+- Provisioning instant, claimable temporary Postgres databases (for example, one per end user or demo) → `claimable-postgres`.
+- Diagnosing or fixing excessive Postgres egress (network data-transfer) costs in a codebase → `neon-postgres-egress-optimizer`.
+
+### Installing the Right Skill
+
+First check whether the target skill is already installed and accessible (for example, it appears in the available skills list or its `SKILL.md` is present). If it is, use it directly. If it is not installed, install it via the `skills` CLI with `npx`/`bunx`:
+
+```bash
+npx skills add neondatabase/agent-skills -s <skill-name>
+```
+
+Replace `<skill-name>` with the skill you need (for example, `neon-object-storage`, `neon-functions`, or `neon-ai-gateway`). Useful flags:
+
+- `-g` — install globally instead of into the current project.
+- `-y` — non-interactive mode (skip prompts).
+- `-a <agent-name>` — pick the target agent(s) for non-interactive mode.
+
+For example, to install the object storage skill globally for a specific agent without prompts:
+
+```bash
+npx skills add neondatabase/agent-skills -s neon-object-storage -g -y -a <agent-name>
+```
+
+You should also make sure the skills are up to date. You can run the same command or replace `add` with `update` to update all Neon skills.
+
+## Getting Started with Neon
+
+Use this section when guiding a user through first-time Neon setup, or when adding a new Neon service (Auth, object storage, functions, and so on) to a project that is already onboarded (for example, one already using Neon Postgres).
+
+### Check Status Quo
+
+Before starting setup, inspect the user's codebase and environment:
+
+- Existing database connection code
+- Existing `.neon` or `neon.ts` files in the workspace
+- Existing Neon MCP server or Neon CLI configuration
+- Existence of a `.env` file and `DATABASE_URL` environment variable
+- Existing ORM (Prisma, Drizzle, TypeORM) configuration
+
+### Self-Driving Setup With Neon's CLI or MCP Server
+
+Offer to inspect existing connected Neon projects or create new ones using the Neon CLI or MCP server. If neither is set up yet, run `npx -y neon init`. Use `npx -y` to skip the package install prompt. Auth is handled automatically. If the user is not logged in, it opens their browser for OAuth and waits for completion before proceeding.
+
+```bash
+npx -y neon@latest init
+```
+
+This installs the Neon CLI and MCP server globally, installs the VSCode extension (for Cursor/VS Code), and adds the `neon` and `neon-postgres` agent skills to the project.
+
+If `init` is not suitable, the individual steps can be run non-interactively, using the user's preferred package manager (npm, bun, pnpm):
+
+- **CLI:** `npm i -g neon`
+- **Extension:** `cursor --install-extension databricks.neon-local-connect`
+- **MCP server:** `npx -y add-mcp https://mcp.neon.tech/mcp -g -n Neon -y -a <agent-name>`
+- **Agent skill:** `npx skills add neondatabase/agent-skills --skill neon-postgres --skill neon --agent <agent-name> -y`
+
+Prefer the CLI over the MCP server unless the user instructs otherwise, since it provides more capabilities, including deploying Neon Functions. For full CLI installation options, see https://neon.com/docs/cli/install.md
+
+### Setup Flow
+
+Once the CLI, MCP server, and agent skills are installed, ensure the local workspace is linked to a Neon project through the `neon init` flow. If it isn't, run `npx -y neon link` to let the user interactively link a project. This produces a `.neon` file pointing to the organization, project, and branch the user wants to work with.
+
+For each Neon service, consult that component's agent skill for service-specific setup instructions (Functions, Postgres, Object Storage, Gateway, and so on).
+
+### Resume Support
+
+If resuming setup, check what's already configured (MCP connection, `.env` with `DATABASE_URL`, dependencies, schema) and continue from the next incomplete step.
+
+### Security Reminders
+
+Remind users to use environment variables for credentials, never commit connection strings, and use least-privilege database roles.
+
+## Branch-First Dev Flow
+
+Default to a branch-first loop that mirrors `git`: one isolated Neon branch per feature, so nothing leaks between features and there are no shared connection strings to copy around. Two commands drive it — `link` once per project, then `checkout` per feature — and a third, `env pull`, runs automatically under the hood so the branch you pin is immediately usable:
+
+- `neon link` — Interactively links the workspace to a Neon org, project, and branch, writing the IDs to a git-ignored `.neon` file. Run once per project. Once linked, project- and branch-scoped commands no longer need `--project-id` or `--branch` (for example, `neon branch list`).
+- `neon checkout <branch-name>` — Creates the branch if it doesn't exist, or checks out the existing one, by updating only the branch pointer in `.neon`. Run without a name for an interactive picker. It does not touch code or local Postgres.
+- `neon env pull` — Fetches the current branch's Neon environment variables (`DATABASE_URL`, …) into your existing `.env`, or `.env.local` if you don't have one (override the target with `--file`). No branch ID needed; it reads `.neon`. **`link` and `checkout` run this for you by default**, so you rarely call it directly.
+
+Run `link` once when starting on a project, then `checkout` per feature:
+
+```bash
+neon link                     # once; also pulls the linked branch's env
+neon checkout dev-add-search  # per feature; also pulls the branch's env
+```
+
+Because `link` and `checkout` pull env by default, the branch's `DATABASE_URL` lands in your local `.env` automatically — build against it, then `checkout` the next branch and repeat. As the agent, drive this loop yourself: run `checkout` between tasks to get a fresh, isolated database per feature with no shared state to corrupt.
+
+### Updating `.neon` without interactive prompts
+
+Plain `neon link` / `neon checkout` prompt interactively, which an agent can't answer. Use one of these non-interactive paths instead:
+
+- **`neon link --agent`** — a JSON state machine for agents. Each call returns a single JSON object with a `status` (`needs_org` → `needs_project` → `needs_project_details` → `linked`, or `error`), the available `options`, and the exact `next_command_template` to run next. Drive it step by step until `status: "linked"`. (Errors also come back as JSON with exit code 1, so you can always parse the result.)
+- **`neon set-context --project-id <id> --org-id <id> --branch-id <id>`** — when you already know the IDs, write all three into `.neon` in one shot. This is a **destructive write**: it replaces the file's contents entirely with exactly these fields, so it's the most direct way to point `.neon` at a specific org / project / branch.
+
+Both avoid prompts entirely; reach for `set-context` when you have the IDs and `link --agent` when you need to discover them.
+
+### Opting out of local env vars
+
+If env vars are injected at runtime instead of written to disk — or you simply don't want secrets in the working tree — pass `--no-env-pull` to `link` / `checkout` and supply the env another way:
+
+- `neon-env run -- <your dev command>` (from `@neon/env`) fetches the branch's vars from your `neon.ts` and injects them into the child process at runtime — no `.env` file needed. This is the runtime counterpart to the on-disk `env pull`.
+- `neon-env export` (from `@neon/env`) prints the branch's env to stdout as dotenv lines or, with `--format json`, JSON — for piping into another env manager rather than running a command. For example, [varlock](https://varlock.dev) can bulk-load it from a `.env.schema` with `@setValuesBulk(exec("neon-env export --format json"), format=json)`.
+- `fetchEnv` from `@neon/env` is the programmatic version of the same thing: resolve the branch's env in code at runtime instead of shelling out to `neon-env run`.
+- `neon dev` injects the same vars into your local dev server — it's part of Neon Functions local development (a public beta feature).
+
+When an agent should not write a local `.env`, instruct it (for example in your `AGENTS.md`) to run `neon checkout <branch> --no-env-pull` and rely on runtime injection.
+
+For reading env you _already_ have on disk (typed and validated against your `neon.ts`), use `parseEnv` — see [Neon Infrastructure as Code](#neon-infrastructure-as-code) below.
+
+## Neon Infrastructure as Code
+
+`neon.ts` is Neon's branch config and infrastructure-as-code file: declare which Neon services your project's branches should have, get type-safe env vars, and program branch settings — all in TypeScript. It's the config layer for Neon as a platform, and it composes with the branch-first loop above. Add it with `@neon/config`:
+
+```bash
+npm i @neon/config
+```
+
+```typescript
+// neon.ts
+import { defineConfig } from '@neon/config/v1';
+
+export default defineConfig({
+  auth: true,
+  dataApi: true,
+});
+```
+
+### Provision services with neon config
+
+Every project ships with serverless Postgres; `neon.ts` lets you also declare Neon Auth and the Data API today, with Functions, buckets, and the AI Gateway under a `preview` block — every service for the branch composes in one file:
+
+```typescript
+// neon.ts
+export default defineConfig({
+  auth: true,
+  dataApi: true,
+  preview: {
+    functions: {
+      /* ... */
+    }, // see the neon-functions skill
+    buckets: {
+      /* ... */
+    }, // see the neon-object-storage skill
+    aiGateway: true, // see the neon-ai-gateway skill
+  },
+});
+```
+
+Reconcile the declaration from the CLI — the Neon equivalent of `terraform status` / `plan` / `apply`:
+
+```bash
+neon config status   # print the branch's live config (read-only)
+neon config plan     # dry-run diff of what apply would change (read-only)
+neon config apply    # provision the declared services
+neon deploy          # alias for `neon config apply`
+```
+
+`config status` and `config plan` only read state. `apply` / `deploy` — like `link` and `checkout` — provision the declared services **and then pull the branch's env into your local `.env.local`** (e.g. `Pulled 5 Neon variables into .env.local: DATABASE_URL, …`), so your local env always matches what's deployed.
+
+### Type-safe env vars with parseEnv
+
+`@neon/env`'s `parseEnv` takes your `neon.ts` config object and returns a parsed, typed env object, validated against the services you declared. The shape of `env` follows your config — enable `auth` and you get `env.auth`, enable `dataApi` and you get `env.dataApi` — and missing variables are flagged with clear errors (for you and your agents). Use it to read env you already have (typically pulled into `.env` by `checkout` / `env pull`); for fetching env at runtime without a file, reach for `fetchEnv` / `neon-env run` instead.
+
+```bash
+npm i @neon/env
+```
+
+```typescript
+import { parseEnv } from '@neon/env';
+import config from './neon';
+
+const env = parseEnv(config);
+
+console.log(env.postgres.databaseUrl);
+console.log(env.auth.baseUrl);
+```
+
+By default `parseEnv` requires _every_ variable your config implies. When a process only uses a subset — a common case in frameworks like Next.js, where you might read `DATABASE_URL` but never the unpooled URL — pass an array of env-var keys to require and return only those. The keys are typesafe: autocomplete only offers variables your config enables, and the returned shape is narrowed to exactly what you selected (so unselected variables are neither enforced nor present).
+
+```typescript
+import { parseEnv } from '@neon/env';
+import config from './neon';
+
+// Only DATABASE_URL is required and returned; DATABASE_URL_UNPOOLED is not enforced.
+const { postgres } = parseEnv(config, ['DATABASE_URL']);
+console.log(postgres.databaseUrl);
+
+// Selecting across services — only these keys are validated/returned.
+const env = parseEnv(config, ['DATABASE_URL', 'NEON_AUTH_BASE_URL']);
+console.log(env.postgres.databaseUrl, env.auth.baseUrl);
+```
+
+### How checkout composes with neon.ts
+
+When a `neon.ts` is present, `neon checkout` applies your policy as it **creates** a branch, so a fresh branch comes up with its declared settings and services already in place. Checking out an _existing_ branch never reconciles it — apply config changes to it explicitly with `neon config apply` (or `neon deploy`). The bundled `env pull` also checks `neon.ts` against the linked branch and fails fast if the branch is missing a declared service, pointing you at `neon deploy` to provision it, so your local env and the remote branch never drift apart silently.
+
+### Branch configuration
+
+Beyond services, `neon.ts` can program what configuration _new_ branches receive via the `branch` property — a function of the branch being evaluated that returns its settings:
+
+```typescript
+// neon.ts
+import { defineConfig } from '@neon/config/v1';
+
+export default defineConfig({
+  auth: true,
+  dataApi: true,
+  branch: (branch) => {
+    if (branch.exists) {
+      // leave existing branches untouched
+      return {};
+    }
+    if (branch.name.startsWith('dev')) {
+      return {
+        ttl: '7d', // clean up the branch after 7 days
+        postgres: {
+          computeSettings: {
+            autoscalingLimitMinCu: 0.25, // scale to zero
+            autoscalingLimitMaxCu: 1, // keep it cheap
+            suspendTimeout: '5m',
+          },
+        },
+      };
+    }
+    return {};
+  },
+});
+```
+
+The `branch` function receives the target branch (its `name`, whether it `exists` yet, whether it's the default, and more) and returns the tuning you want. Here new `dev-*` branches get a 7-day TTL so they clean themselves up, plus a cheap scale-to-zero compute profile, while existing branches and everything else fall through to the defaults. Because `neon checkout` applies this policy on create, a fresh `dev-*` branch comes up with these settings already in place.
+
+### Type-safe config: invalid setups don't compile
+
+Because `neon.ts` is TypeScript, the compiler catches invalid infrastructure before you ever deploy — and Neon encodes the actual rules (and their fixes) into the types, so the error tells you what to do rather than failing with a useless `Type 'true' is not assignable to type 'never'`. The canonical case: the Data API verifies requests with Neon Auth by default, so enabling it on its own is a type error _on_ `dataApi`:
+
+```typescript
+export default defineConfig({
+  dataApi: true, // type error: `dataApi` (default authProvider 'neon') requires Neon Auth
+});
+```
+
+The message names both fixes, so pick one:
+
+```typescript
+// 1. Enable Neon Auth (the default Data API auth provider):
+export default defineConfig({ auth: true, dataApi: true });
+
+// 2. Or verify a third-party IdP instead of Neon Auth:
+export default defineConfig({
+  dataApi: {
+    authProvider: 'external',
+    jwksUrl: 'https://your-idp/.well-known/jwks.json',
+  },
+});
+```
+
+Treat a `neon.ts` type error as the config telling you which services must go together — read the message, it spells out the valid combinations.
+
+## Gotchas
+
+### Neon Auth: "invalid domain"
+
+Neon Auth only redirects back to domains on its trusted-domains list. Anytime the domain your app runs on changes — a new production custom domain, a new deploy/preview URL, moving from `localhost` to a hosted environment, and so on — you must register the new domain with Neon Auth. Otherwise sign-in and OAuth callbacks fail with an **`invalid domain`** error because the redirect target isn't trusted.
+
+The easiest way to fix this is the CLI. With the workspace linked to the project (see the branch-first flow above), add the new domain to the trusted list:
+
+```bash
+neon neon-auth domain add <domain>   # e.g. neon neon-auth domain add https://app.example.com
+neon neon-auth domain list           # verify what's currently trusted
+neon neon-auth domain delete <domain> # remove one you no longer use
+```
+
+If the workspace isn't linked, pass `--project-id <id>` (and `--branch <id|name>`) explicitly. For local development, `neon neon-auth domain allow-localhost` manages whether `localhost` is permitted. Register the domain before pointing users at the new URL, so they never hit the `invalid domain` error.
diff --git a/.env.example b/.env.example
index 089550091..4e8027cce 100644
--- a/.env.example
+++ b/.env.example
@@ -22,10 +22,17 @@
 # DATABASE_DRIVER=neon
 # DATABASE_SSL=true
 
-# GitHub PAT — required for CollectiveX JIT artifact reads; also improves metadata rate limits
+# GitHub PAT — required for CollectiveX lazy ingest (sweep artifact reads); also used
+# for framework releases, star counts, and unofficial-run artifact reads
 # Create at: https://github.com/settings/personal-access-tokens
 # GITHUB_TOKEN=
 
+# CollectiveX database (separate Neon instance; a durable cache of GitHub sweep runs,
+# populated lazily on read). Read URL powers /api/v1/collectivex/* reads; write URL
+# powers the lazy ingest and the run-deletion route.
+# DATABASE_COLLECTIVEX_READONLY_URL=
+# DATABASE_COLLECTIVEX_WRITE_URL=
+
 # ╔══════════════════════════════════════════════════════════════════════════╗
 # ║  Production deployment (Vercel)                                          ║
 # ║                                                                          ║
@@ -55,3 +62,6 @@
 # DATABASE_WRITE_URL=
 # INVALIDATE_SECRET=
 # FEEDBACK_SECRET=
+# Bearer token for the CollectiveX run-deletion route (entered in the dashboard UI;
+# deliberately separate from INVALIDATE_SECRET so it is independently rotatable)
+# COLLECTIVEX_ADMIN_SECRET=
diff --git a/AGENTS.md b/AGENTS.md
index 899ccd306..ac718c53f 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -73,9 +73,15 @@ API routes (`packages/app/src/app/api/v1/`):
 - `reliability` — raw `ReliabilityRow[]`
 - `evaluations` — raw `EvalRow[]`
 - `server-log` — retrieve benchmark runtime logs
-- `invalidate` — invalidate API cache (admin)
+- `invalidate` — invalidate API cache (admin; `?scope=collectivex` purges only that scope)
+- `collectivex/latest`, `collectivex/runs`, `collectivex/runs/[runId]` — CollectiveX sweep data
+  from a **separate** Neon DB, populated lazily on read from GitHub Actions artifacts and served
+  assembled through the shared reader (the one deliberate exception to the raw-rows rule below);
+  `runs/[runId]` also handles admin DELETE. See [CollectiveX](./docs/collectivex.md).
 
 **API routes return raw DB data** — no presentation logic. Frontend handles all transformations.
+(Exception: the CollectiveX routes assemble raw stored documents through the shared reader in
+`packages/db/src/collectivex/` — see [docs/collectivex.md](./docs/collectivex.md) for why.)
 
 Static content routes (no DB):
 
diff --git a/docs/collectivex.md b/docs/collectivex.md
new file mode 100644
index 000000000..5fdcf82fc
--- /dev/null
+++ b/docs/collectivex.md
@@ -0,0 +1,67 @@
+# CollectiveX
+
+Design rationale for the CollectiveX tab's data pipeline. Unlike every other tab
+(Neon DB → ETL ingest → `/api/v1/*`), CollectiveX uses **lazy ingest-on-read**: its
+database is a durable cache of GitHub Actions, populated by the API routes themselves.
+
+## Why lazy ingest instead of the main pipeline
+
+- **Sweep artifacts expire after 14 days.** The sweep workflow
+  (`collectivex-sweep.yml` in the harness repo) uploads a matrix artifact
+  (`cxsweep-matrix-{run_id}`) and per-cell result artifacts
+  (`cxshard-{cell}-{run_id}-{attempt}`) with 14-day retention. Persisting on first
+  view makes a run outlive its artifacts once anyone has looked at it.
+- **The sweep JSON contract is expected to change.** The DB stores the RAW documents
+  verbatim; the shared reader (`packages/db/src/collectivex/reader.ts`) is the single
+  transform point and runs at API-read time, so a reader fix retroactively applies to
+  already-stored runs — no re-ingest. A contract change = reader change + a bump of the
+  numeric `version` in the harness's `experimental/CollectiveX/configs/sweep.json`.
+- **No CI plumbing.** There is no ingest workflow, no cross-repo dispatch, and no GH
+  secrets. Runs launched via `gh api` on any harness branch appear on the dashboard
+  within the CDN TTL of someone viewing the page — only the workflow identity is
+  checked, never the branch.
+
+## How it works
+
+`packages/app/src/lib/collectivex-lazy-ingest.ts` exposes three `ensure*` functions the
+routes call before reading the DB (`packages/db/src/queries/collectivex.ts`):
+
+- `ensureLatestCollectiveXRun` — walk GitHub's completed sweep runs newest-first; stop at
+  the first live requested-version run; persist it if absent.
+- `ensureCollectiveXRunsList` — backfill up to 8 recent runs so the picker lists sweeps
+  nobody has viewed yet.
+- `ensureCollectiveXRun` — fetch one run by id (only if completed — persisting an
+  in-progress run would freeze a partial snapshot).
+
+Key invariants:
+
+- **Writes are atomic and race-safe**: one CTE statement with
+  `ON CONFLICT (run_id) DO NOTHING`; concurrent first-viewers can't double-ingest or
+  expose a partial run. A GitHub re-run (newer `run_attempt`) is replaced through a
+  `FOR UPDATE`-guarded refresh statement.
+- **Deletion tombstones** (`cx_runs.deleted_at`, documents freed): discovery must never
+  resurrect a deleted run. Re-ingesting via the CLI
+  (`pnpm admin:db:ingest:collectivex <run-url-or-id>`) clears the tombstone — that CLI is
+  the operator tool for pre-warming runs before artifact expiry, backfills, and un-deletes.
+- **"Latest" orders by `run_id`** (monotonic with run creation, matching the discovery
+  walk) — not by completion time, where a long-failing older run would shadow a newer
+  successful one.
+- **GitHub being down never takes the page down**: routes serve whatever the DB holds and
+  only surface an error when there is no stored fallback.
+- **Caching**: responses carry the `collectivex` CDN tag with a 60s
+  `s-maxage` (freshness bound for lazy discovery). Run deletion and
+  `POST /api/v1/invalidate?scope=collectivex` purge only that tag; the main dashboard's
+  blob cache is untouched by CollectiveX operations.
+- **Env**: `DATABASE_COLLECTIVEX_READONLY_URL` (must be the same primary as the write URL
+  — the routes read their own writes), `DATABASE_COLLECTIVEX_WRITE_URL` (direct/unpooled;
+  also used by migrations via `pnpm admin:db:migrate:collectivex`),
+  `COLLECTIVEX_ADMIN_SECRET` (delete route Bearer token — deliberately not
+  INVALIDATE_SECRET, since it is remembered in browser localStorage), and `GITHUB_TOKEN`.
+
+## The raw-rows exception
+
+CollectiveX routes return the **assembled** dataset (reader over stored matrix + docs)
+instead of raw rows. The reader is shared between the app and the CLI through the db
+package (`@semianalysisai/inferencex-db/collectivex/*`), so ingest-time validation and
+read-time assembly can never drift; shipping raw docs to the client would only move the
+same shared transform across the wire.
diff --git a/docs/index.md b/docs/index.md
index ea6154edd..c4a72633b 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -15,4 +15,5 @@ Design rationale and non-obvious conventions. See [CLAUDE.md](../CLAUDE.md) for
 - [Data Transforms](./data-transforms.md) — Full pipeline from BenchmarkRow to RenderableGraph: type hierarchy, hardware key construction, derived metrics, memoization strategy
 - [State Ownership](./state-ownership.md) — Which context owns which state, availability filtering cascade, comparison date mechanics, URL param sync
 - [Blog](./blog.md) — MDX content system, SEO features (OG images, RSS, llms.txt, JSON-LD), TOC sidebar, reading progress, heading links, analytics events
+- [CollectiveX](./collectivex.md) — lazy ingest-on-read pipeline (separate Neon DB as a durable GitHub-artifact cache), tombstoned deletes, raw-docs storage + shared reader
 - [Chinese Pages (/zh)](./i18n.md) — Why hand-authored /zh pages instead of an i18n framework, hreflang pairing, blog translation pairing, html lang workaround, CJK reading time/slugs
diff --git a/package.json b/package.json
index 90cb8bb36..62efae4de 100644
--- a/package.json
+++ b/package.json
@@ -31,11 +31,13 @@
     "admin:cache:warmup": "pnpm --filter *app cache:warmup",
     "admin:db:ingest:run": "pnpm --filter *db db:ingest:run",
     "admin:db:ingest:ci": "pnpm --filter *db db:ingest:ci",
+    "admin:db:ingest:collectivex": "pnpm --filter *db db:ingest:collectivex",
     "admin:db:ingest:gcs": "pnpm --filter *db db:ingest:gcs",
     "admin:db:ingest:supplemental": "pnpm --filter *db db:ingest:supplemental",
     "admin:db:dump": "pnpm --filter *db db:dump",
     "admin:db:load-dump": "pnpm --filter *db db:load-dump --",
     "admin:db:migrate": "pnpm --filter *db db:migrate",
+    "admin:db:migrate:collectivex": "pnpm --filter *db db:migrate:collectivex",
     "admin:db:apply-overrides": "pnpm --filter *db db:apply-overrides",
     "admin:db:reset": "pnpm --filter *db db:reset",
     "admin:db:verify": "pnpm --filter *db db:verify"
diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index 9140b966c..0d71b3b18 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -1,4 +1,4 @@
-import { buildRunSummary } from '@/components/collectivex/reader';
+import { buildRunSummary } from '@semianalysisai/inferencex-db/collectivex/reader';
 import {
   buildDataset,
   makeCollectiveXDataset,
@@ -6,25 +6,26 @@ import {
 } from '@/components/collectivex/test-fixture';
 import type { CollectiveXDataset } from '@/components/collectivex/types';
 
-// The neutral view: one run's measured series plus its full case coverage. The route
-// serves the resolved dataset at /latest.json, a run listing at /runs.json, and a
-// specific run at /runs/{id}.json. No channel/digest/promotion layer remains.
+// The neutral view: one run's measured series plus its full case coverage,
+// served from the CollectiveX database via /api/v1/collectivex/latest,
+// /api/v1/collectivex/runs (picker listing), and /api/v1/collectivex/runs/{id}.
 const SOURCE_SHA = 'c'.repeat(40);
 const dataset = makeCollectiveXDataset();
 const runId = dataset.run.run_id;
+const ADMIN_TOKEN_KEY = 'collectivex-admin-token';
 
 function installLatest(body: CollectiveXDataset | Record<string, unknown> = dataset) {
-  cy.intercept('GET', '/collectivex-data/1/latest.json', { body }).as('latest');
+  cy.intercept('GET', '/api/v1/collectivex/latest*', { body }).as('latest');
 }
 
 function installRuns() {
-  cy.intercept('GET', '/collectivex-data/1/runs.json', {
+  cy.intercept('GET', '/api/v1/collectivex/runs?*', {
     body: { version: 1, runs: [buildRunSummary(dataset)] },
   }).as('runs');
 }
 
 function installRun(body: CollectiveXDataset = dataset) {
-  cy.intercept('GET', `/collectivex-data/1/runs/${runId}.json`, { body }).as('run');
+  cy.intercept('GET', `/api/v1/collectivex/runs/${runId}*`, { body }).as('run');
 }
 
 function openCollectiveX() {
@@ -139,35 +140,94 @@ describe('CollectiveX neutral run view', () => {
   });
 });
 
+describe('CollectiveX run deletion', () => {
+  beforeEach(() => {
+    installLatest();
+    openCollectiveX();
+  });
+
+  it('deletes the shown run after confirm + token prompt and remembers the token', () => {
+    cy.intercept('DELETE', `/api/v1/collectivex/runs/${runId}`, (request) => {
+      expect(request.headers.authorization).to.eq('Bearer test-token');
+      request.reply({ deleted: true, runId });
+    }).as('deleteRun');
+    cy.window().then((win) => {
+      win.localStorage.removeItem(ADMIN_TOKEN_KEY);
+      cy.stub(win, 'confirm').returns(true);
+      cy.stub(win, 'prompt').returns('test-token');
+    });
+
+    cy.get('[data-testid="collectivex-delete-run"]').click();
+    cy.wait('@deleteRun');
+    // Successful deletion invalidates the dataset queries → latest refetches.
+    cy.wait('@latest');
+    cy.window().then((win) => {
+      expect(win.localStorage.getItem(ADMIN_TOKEN_KEY)).to.eq('test-token');
+    });
+  });
+
+  it('clears a stale stored token and reports unauthorized on 401', () => {
+    cy.intercept('DELETE', `/api/v1/collectivex/runs/${runId}`, { statusCode: 401 }).as(
+      'delete401',
+    );
+    cy.window().then((win) => {
+      win.localStorage.setItem(ADMIN_TOKEN_KEY, 'stale-token');
+      cy.stub(win, 'confirm').returns(true);
+      cy.stub(win, 'alert').as('unauthorizedAlert');
+    });
+
+    cy.get('[data-testid="collectivex-delete-run"]').click();
+    cy.wait('@delete401');
+    cy.get('@unauthorizedAlert').should('have.been.calledWith', 'Invalid admin token.');
+    cy.window().then((win) => {
+      expect(win.localStorage.getItem(ADMIN_TOKEN_KEY)).to.eq(null);
+    });
+  });
+
+  it('does nothing when the confirmation is declined', () => {
+    let deleteRequests = 0;
+    cy.intercept('DELETE', `/api/v1/collectivex/runs/${runId}`, () => {
+      deleteRequests += 1;
+    });
+    cy.window().then((win) => {
+      cy.stub(win, 'confirm').returns(false);
+    });
+
+    cy.get('[data-testid="collectivex-delete-run"]').click();
+    cy.get('[data-testid="collectivex-display"]').should('be.visible');
+    cy.then(() => expect(deleteRequests).to.eq(0));
+  });
+});
+
 describe('CollectiveX availability states', () => {
   it('reports a missing run', () => {
-    cy.intercept('GET', '/collectivex-data/1/latest.json', {
+    cy.intercept('GET', '/api/v1/collectivex/latest*', {
       statusCode: 404,
-      headers: { 'X-CollectiveX-Status': 'runs-unavailable' },
+      body: { error: 'Not found' },
     }).as('missing');
     cy.visit('/collectivex');
     cy.wait('@missing');
     cy.get('[data-testid="collectivex-error"]')
       .should('be.visible')
-      .and('contain.text', 'CollectiveX request failed (404).');
+      .and('contain.text', 'API error: 404');
     cy.get('[data-testid="collectivex-error-version-select"]').should('contain.text', 'V1');
   });
 
-  it('reports an unavailable GitHub source', () => {
-    cy.intercept('GET', '/collectivex-data/1/latest.json', {
+  it('reports an unavailable backend', () => {
+    cy.intercept('GET', '/api/v1/collectivex/latest*', {
       statusCode: 503,
-      headers: { 'X-CollectiveX-Status': 'source-unavailable' },
+      body: { error: 'unavailable' },
     }).as('down');
     cy.visit('/collectivex');
     cy.wait('@down');
     cy.get('[data-testid="collectivex-error"]')
       .should('be.visible')
-      .and('contain.text', 'CollectiveX request failed (503).');
+      .and('contain.text', 'API error: 503');
   });
 
   it('renders the loading state while the run resolves', () => {
     // "slow" is a reserved alias word in Cypress 15.
-    cy.intercept('GET', '/collectivex-data/1/latest.json', { body: dataset, delay: 500 }).as(
+    cy.intercept('GET', '/api/v1/collectivex/latest*', { body: dataset, delay: 500 }).as(
       'slowLatest',
     );
     cy.visit('/collectivex');
diff --git a/packages/app/cypress/fixtures/api/collectivex-latest.json b/packages/app/cypress/fixtures/api/collectivex-latest.json
new file mode 100644
index 000000000..de20a36d1
--- /dev/null
+++ b/packages/app/cypress/fixtures/api/collectivex-latest.json
@@ -0,0 +1,2535 @@
+{
+  "version": 1,
+  "run": {
+    "run_id": "160",
+    "run_attempt": 1,
+    "generated_at": "2026-07-08T12:20:00Z",
+    "conclusion": "success",
+    "source_sha": "cccccccccccccccccccccccccccccccccccccccc",
+    "requested_cases": 5,
+    "terminal_cases": 4,
+    "measured_cases": 3,
+    "unsupported_cases": 1,
+    "failed_cases": 0,
+    "requested_points": 50,
+    "terminal_points": 40,
+    "measured_points": 30,
+    "covered_skus": ["b200-dgxc", "b300", "h200-dgxc", "mi355x"]
+  },
+  "coverage": [
+    {
+      "case_id": "h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-bf16",
+      "label": "h200-dgxc · deepep-v2 · decode · EP8 · bf16",
+      "disposition": "runnable",
+      "sku": "h200-dgxc",
+      "backend": "deepep-v2",
+      "phase": "decode",
+      "precision": "bf16",
+      "topology": {
+        "ep_size": 8,
+        "nodes": 1,
+        "gpus_per_node": 8,
+        "scale_up_domain": 8,
+        "scale_up_transport": "nvlink",
+        "scale_out_transport": null,
+        "topology_class": "h200-nvlink-island"
+      },
+      "points": [
+        {
+          "tokens_per_rank": 1,
+          "global_tokens": 8,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 2,
+          "global_tokens": 16,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 4,
+          "global_tokens": 32,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 8,
+          "global_tokens": 64,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 16,
+          "global_tokens": 128,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 32,
+          "global_tokens": 256,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 64,
+          "global_tokens": 512,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 128,
+          "global_tokens": 1024,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 256,
+          "global_tokens": 2048,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 512,
+          "global_tokens": 4096,
+          "terminal_status": "measured",
+          "reason": null
+        }
+      ],
+      "outcome": "success",
+      "reason": null,
+      "detail": null
+    },
+    {
+      "case_id": "mi355x-mori-deepseek-v3-normal-decode-ep16-uniform-bf16",
+      "label": "mi355x · mori · decode · EP16 · bf16",
+      "disposition": "runnable",
+      "sku": "mi355x",
+      "backend": "mori",
+      "phase": "decode",
+      "precision": "bf16",
+      "topology": {
+        "ep_size": 16,
+        "nodes": 2,
+        "gpus_per_node": 8,
+        "scale_up_domain": 8,
+        "scale_up_transport": "xgmi",
+        "scale_out_transport": "rdma",
+        "topology_class": "mi355x-xgmi-rdma"
+      },
+      "points": [
+        {
+          "tokens_per_rank": 1,
+          "global_tokens": 16,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 2,
+          "global_tokens": 32,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 4,
+          "global_tokens": 64,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 8,
+          "global_tokens": 128,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 16,
+          "global_tokens": 256,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 32,
+          "global_tokens": 512,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 64,
+          "global_tokens": 1024,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 128,
+          "global_tokens": 2048,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 256,
+          "global_tokens": 4096,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 512,
+          "global_tokens": 8192,
+          "terminal_status": "measured",
+          "reason": null
+        }
+      ],
+      "outcome": "success",
+      "reason": null,
+      "detail": null
+    },
+    {
+      "case_id": "h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-fp8",
+      "label": "h200-dgxc · deepep-v2 · decode · EP8 · fp8",
+      "disposition": "runnable",
+      "sku": "h200-dgxc",
+      "backend": "deepep-v2",
+      "phase": "decode",
+      "precision": "fp8",
+      "topology": {
+        "ep_size": 8,
+        "nodes": 1,
+        "gpus_per_node": 8,
+        "scale_up_domain": 8,
+        "scale_up_transport": "nvlink",
+        "scale_out_transport": null,
+        "topology_class": "h200-nvlink-island"
+      },
+      "points": [
+        {
+          "tokens_per_rank": 1,
+          "global_tokens": 8,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 2,
+          "global_tokens": 16,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 4,
+          "global_tokens": 32,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 8,
+          "global_tokens": 64,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 16,
+          "global_tokens": 128,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 32,
+          "global_tokens": 256,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 64,
+          "global_tokens": 512,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 128,
+          "global_tokens": 1024,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 256,
+          "global_tokens": 2048,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 512,
+          "global_tokens": 4096,
+          "terminal_status": "measured",
+          "reason": null
+        }
+      ],
+      "outcome": "success",
+      "reason": null,
+      "detail": null
+    },
+    {
+      "case_id": "b300-deepep-v2-deepseek-v3-normal-decode-ep16-uniform-bf16",
+      "label": "b300 · deepep-v2 · decode · EP16 · bf16",
+      "disposition": "unsupported",
+      "sku": "b300",
+      "backend": "deepep-v2",
+      "phase": "decode",
+      "precision": "bf16",
+      "topology": {
+        "ep_size": 16,
+        "nodes": 2,
+        "gpus_per_node": 8,
+        "scale_up_domain": 8,
+        "scale_up_transport": "nvlink",
+        "scale_out_transport": "rdma",
+        "topology_class": "b300-nvlink-rdma"
+      },
+      "points": [
+        {
+          "tokens_per_rank": 1,
+          "global_tokens": 16,
+          "terminal_status": "unsupported",
+          "reason": "backend-platform-unsupported"
+        },
+        {
+          "tokens_per_rank": 2,
+          "global_tokens": 32,
+          "terminal_status": "unsupported",
+          "reason": "backend-platform-unsupported"
+        },
+        {
+          "tokens_per_rank": 4,
+          "global_tokens": 64,
+          "terminal_status": "unsupported",
+          "reason": "backend-platform-unsupported"
+        },
+        {
+          "tokens_per_rank": 8,
+          "global_tokens": 128,
+          "terminal_status": "unsupported",
+          "reason": "backend-platform-unsupported"
+        },
+        {
+          "tokens_per_rank": 16,
+          "global_tokens": 256,
+          "terminal_status": "unsupported",
+          "reason": "backend-platform-unsupported"
+        },
+        {
+          "tokens_per_rank": 32,
+          "global_tokens": 512,
+          "terminal_status": "unsupported",
+          "reason": "backend-platform-unsupported"
+        },
+        {
+          "tokens_per_rank": 64,
+          "global_tokens": 1024,
+          "terminal_status": "unsupported",
+          "reason": "backend-platform-unsupported"
+        },
+        {
+          "tokens_per_rank": 128,
+          "global_tokens": 2048,
+          "terminal_status": "unsupported",
+          "reason": "backend-platform-unsupported"
+        },
+        {
+          "tokens_per_rank": 256,
+          "global_tokens": 4096,
+          "terminal_status": "unsupported",
+          "reason": "backend-platform-unsupported"
+        },
+        {
+          "tokens_per_rank": 512,
+          "global_tokens": 8192,
+          "terminal_status": "unsupported",
+          "reason": "backend-platform-unsupported"
+        }
+      ],
+      "outcome": "unsupported",
+      "reason": "backend-platform-unsupported",
+      "detail": "unsupported by the selected backend/platform"
+    },
+    {
+      "case_id": "b200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-bf16",
+      "label": "b200-dgxc · deepep-v2 · decode · EP8 · bf16",
+      "disposition": "runnable",
+      "sku": "b200-dgxc",
+      "backend": "deepep-v2",
+      "phase": "decode",
+      "precision": "bf16",
+      "topology": {
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+            "p95": 9338804.16,
+            "p99": 10005861.6
+          }
+        },
+        {
+          "tokens_per_rank": 256,
+          "global_tokens": 2048,
+          "components": {
+            "dispatch": {
+              "latency_us": {
+                "p50": 425,
+                "p90": 459.00000000000006,
+                "p95": 476.00000000000006,
+                "p99": 510
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 905.3268329411765,
+                "p90": 838.2655860566448,
+                "p95": 808.3275294117645,
+                "p99": 754.4390274509803
+              }
+            },
+            "stage": {
+              "latency_us": {
+                "p50": 128,
+                "p90": 138.24,
+                "p95": 143.36,
+                "p99": 153.6
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 1502.984,
+                "p90": 1391.6518518518517,
+                "p95": 1341.9499999999998,
+                "p99": 1252.4866666666667
+              }
+            },
+            "combine": {
+              "latency_us": {
+                "p50": 400,
+                "p90": 432,
+                "p95": 448.00000000000006,
+                "p99": 480
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 961.90976,
+                "p90": 890.6571851851852,
+                "p95": 858.848,
+                "p99": 801.5914666666667
+              }
+            },
+            "roundtrip": {
+              "latency_us": {
+                "p50": 929,
+                "p90": 1003.32,
+                "p95": 1040.48,
+                "p99": 1114.8
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 828.3399440258343,
+                "p90": 766.9814296535502,
+                "p95": 739.5892357373519,
+                "p99": 690.2832866881952
+              }
+            }
+          },
+          "roundtrip_token_rate_at_latency_percentile": {
+            "p50": 8338218,
+            "p90": 9005275.440000001,
+            "p95": 9338804.16,
+            "p99": 10005861.6
+          }
+        },
+        {
+          "tokens_per_rank": 512,
+          "global_tokens": 4096,
+          "components": {
+            "dispatch": {
+              "latency_us": {
+                "p50": 426,
+                "p90": 460.08000000000004,
+                "p95": 477.12000000000006,
+                "p99": 511.2
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 903.2016525821597,
+                "p90": 836.2978264649626,
+                "p95": 806.4300469483567,
+                "p99": 752.6680438184663
+              }
+            },
+            "stage": {
+              "latency_us": {
+                "p50": 129,
+                "p90": 139.32000000000002,
+                "p95": 144.48000000000002,
+                "p99": 154.79999999999998
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 1491.33296124031,
+                "p90": 1380.863853000287,
+                "p95": 1331.5472868217053,
+                "p99": 1242.7774677002585
+              }
+            },
+            "combine": {
+              "latency_us": {
+                "p50": 401,
+                "p90": 433.08000000000004,
+                "p95": 449.12000000000006,
+                "p99": 481.2
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 959.5109825436409,
+                "p90": 888.4360949478155,
+                "p95": 856.706234413965,
+                "p99": 799.5924854530341
+              }
+            },
+            "roundtrip": {
+              "latency_us": {
+                "p50": 930,
+                "p90": 1004.4000000000001,
+                "p95": 1041.6000000000001,
+                "p99": 1116
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 827.4492559139785,
+                "p90": 766.1567184388689,
+                "p95": 738.7939784946236,
+                "p99": 689.541046594982
+              }
+            }
+          },
+          "roundtrip_token_rate_at_latency_percentile": {
+            "p50": 8338218,
+            "p90": 9005275.440000001,
+            "p95": 9338804.16,
+            "p99": 10005861.6
+          }
+        }
+      ]
+    }
+  ]
+}
diff --git a/packages/app/cypress/fixtures/api/collectivex-runs.json b/packages/app/cypress/fixtures/api/collectivex-runs.json
new file mode 100644
index 000000000..57b709a6b
--- /dev/null
+++ b/packages/app/cypress/fixtures/api/collectivex-runs.json
@@ -0,0 +1,21 @@
+{
+  "version": 1,
+  "runs": [
+    {
+      "run_id": "160",
+      "run_attempt": 1,
+      "generated_at": "2026-07-08T12:20:00Z",
+      "conclusion": "success",
+      "covered_skus": ["b200-dgxc", "b300", "h200-dgxc", "mi355x"],
+      "requested_cases": 5,
+      "measured_cases": 3,
+      "requested_points": 50,
+      "terminal_points": 40,
+      "terminal_counts": {
+        "measured": 3,
+        "unsupported": 1,
+        "failed": 0
+      }
+    }
+  ]
+}
diff --git a/packages/app/scripts/capture-cypress-fixtures.ts b/packages/app/scripts/capture-cypress-fixtures.ts
index 5f1492892..c292d4305 100644
--- a/packages/app/scripts/capture-cypress-fixtures.ts
+++ b/packages/app/scripts/capture-cypress-fixtures.ts
@@ -13,6 +13,9 @@
 import { mkdir, writeFile } from 'node:fs/promises';
 import { resolve } from 'node:path';
 
+import { buildRunSummary } from '@semianalysisai/inferencex-db/collectivex/reader';
+import { makeCollectiveXDataset } from '@semianalysisai/inferencex-db/collectivex/test-fixture';
+
 const baseUrl = (
   process.argv.filter((a) => a !== '--').slice(2)[0] ?? 'https://inferencex.semianalysis.com'
 ).replace(/\/$/u, '');
@@ -250,6 +253,17 @@ async function main() {
       }),
     ],
     ['workflow-info', await writeFixture('workflow-info', workflowInfo)],
+    // CollectiveX fixtures are synthetic (deterministic contract builders),
+    // not captured — production may hold arbitrary sweep data while the e2e
+    // suite asserts on the builders' known shape.
+    ['collectivex-latest', await writeFixture('collectivex-latest', makeCollectiveXDataset())],
+    [
+      'collectivex-runs',
+      await writeFixture('collectivex-runs', {
+        version: 1,
+        runs: [buildRunSummary(makeCollectiveXDataset())],
+      }),
+    ],
   ];
 
   for (const [name, bytes] of sizes) {
diff --git a/packages/app/src/app/api/v1/collectivex/latest/route.test.ts b/packages/app/src/app/api/v1/collectivex/latest/route.test.ts
new file mode 100644
index 000000000..7812d185e
--- /dev/null
+++ b/packages/app/src/app/api/v1/collectivex/latest/route.test.ts
@@ -0,0 +1,104 @@
+import { beforeEach, describe, expect, it, vi } from 'vitest';
+
+import { makeCollectiveXDataset } from '@semianalysisai/inferencex-db/collectivex/test-fixture';
+
+const { mockGetLatest, mockFromRow, mockGetDb, mockEnsureLatest } = vi.hoisted(() => ({
+  mockGetLatest: vi.fn(),
+  mockFromRow: vi.fn(),
+  mockGetDb: vi.fn(() => 'mock-sql'),
+  mockEnsureLatest: vi.fn(),
+}));
+
+vi.mock('@semianalysisai/inferencex-db/connection', () => ({
+  getCollectiveXDb: mockGetDb,
+  FIXTURES_MODE: false,
+}));
+
+vi.mock('@semianalysisai/inferencex-db/queries/collectivex', () => ({
+  getLatestCollectiveXRun: mockGetLatest,
+  collectiveXDatasetFromRow: mockFromRow,
+}));
+
+vi.mock('@/lib/collectivex-lazy-ingest', () => ({
+  ensureLatestCollectiveXRun: mockEnsureLatest,
+  collectiveXSweepErrorStatus: (error: unknown) => {
+    const code = error instanceof Error && 'code' in error ? (error.code as string) : null;
+    if (code === 'not-found') return 404;
+    if (code === 'unavailable') return 503;
+    if (code === 'invalid') return 502;
+    return null;
+  },
+}));
+
+vi.mock('@/lib/api-cache', () => ({
+  COLLECTIVEX_CACHE_SCOPE: 'collectivex',
+  COLLECTIVEX_CACHE_CONTROL: 'public, max-age=0, s-maxage=60',
+  cachedJson: (data: unknown) => Response.json(data),
+}));
+
+import { NextRequest } from 'next/server';
+
+import { GET } from './route';
+
+function req(url: string): NextRequest {
+  return new NextRequest(new URL(url, 'http://localhost'));
+}
+
+function sweepError(code: string): Error {
+  return Object.assign(new Error(code), { code });
+}
+
+const dataset = makeCollectiveXDataset();
+
+beforeEach(() => {
+  vi.clearAllMocks();
+  vi.spyOn(console, 'error').mockImplementation(() => {});
+  mockEnsureLatest.mockResolvedValue(undefined);
+  mockGetLatest.mockResolvedValue({ run_id: dataset.run.run_id });
+  mockFromRow.mockReturnValue(dataset);
+});
+
+describe('GET /api/v1/collectivex/latest', () => {
+  it('returns 400 for a missing or unknown version', async () => {
+    for (const url of ['/api/v1/collectivex/latest', '/api/v1/collectivex/latest?version=99']) {
+      const res = await GET(req(url));
+      expect(res.status).toBe(400);
+    }
+    expect(mockEnsureLatest).not.toHaveBeenCalled();
+  });
+
+  it('lazily ingests then serves the latest run assembled as a dataset', async () => {
+    const res = await GET(req('/api/v1/collectivex/latest?version=1'));
+    expect(res.status).toBe(200);
+    expect(await res.json()).toEqual(dataset);
+    expect(mockEnsureLatest).toHaveBeenCalledWith(1);
+    expect(mockGetLatest).toHaveBeenCalledWith('mock-sql', 1);
+  });
+
+  it('serves the stored run when GitHub discovery fails', async () => {
+    mockEnsureLatest.mockRejectedValue(sweepError('unavailable'));
+    const res = await GET(req('/api/v1/collectivex/latest?version=1'));
+    expect(res.status).toBe(200);
+    expect(await res.json()).toEqual(dataset);
+  });
+
+  it('returns 503 when discovery fails and nothing is stored', async () => {
+    mockEnsureLatest.mockRejectedValue(sweepError('unavailable'));
+    mockGetLatest.mockResolvedValue(null);
+    const res = await GET(req('/api/v1/collectivex/latest?version=1'));
+    expect(res.status).toBe(503);
+  });
+
+  it('returns 404 when neither GitHub nor the DB has a run', async () => {
+    mockGetLatest.mockResolvedValue(null);
+    const res = await GET(req('/api/v1/collectivex/latest?version=1'));
+    expect(res.status).toBe(404);
+  });
+
+  it('returns 500 without leaking details on DB failure', async () => {
+    mockGetLatest.mockRejectedValue(new Error('boom'));
+    const res = await GET(req('/api/v1/collectivex/latest?version=1'));
+    expect(res.status).toBe(500);
+    expect(await res.json()).toEqual({ error: 'Internal server error' });
+  });
+});
diff --git a/packages/app/src/app/api/v1/collectivex/latest/route.ts b/packages/app/src/app/api/v1/collectivex/latest/route.ts
new file mode 100644
index 000000000..52010b9be
--- /dev/null
+++ b/packages/app/src/app/api/v1/collectivex/latest/route.ts
@@ -0,0 +1,56 @@
+import { type NextRequest, NextResponse } from 'next/server';
+
+import { parseCollectiveXVersion } from '@semianalysisai/inferencex-db/collectivex/types';
+import { FIXTURES_MODE, getCollectiveXDb } from '@semianalysisai/inferencex-db/connection';
+import {
+  collectiveXDatasetFromRow,
+  getLatestCollectiveXRun,
+} from '@semianalysisai/inferencex-db/queries/collectivex';
+
+import { COLLECTIVEX_CACHE_CONTROL, COLLECTIVEX_CACHE_SCOPE, cachedJson } from '@/lib/api-cache';
+import {
+  collectiveXSweepErrorStatus,
+  ensureLatestCollectiveXRun,
+} from '@/lib/collectivex-lazy-ingest';
+import { loadFixture } from '@/lib/test-fixtures';
+
+export const dynamic = 'force-dynamic';
+export const runtime = 'nodejs';
+
+export async function GET(request: NextRequest) {
+  const version = parseCollectiveXVersion(request.nextUrl.searchParams.get('version') ?? '');
+  if (!version) {
+    return NextResponse.json({ error: 'Unknown version' }, { status: 400 });
+  }
+  if (FIXTURES_MODE) return cachedJson(loadFixture('collectivex-latest'));
+
+  // Discovery failures must not take the page down — serve whatever the DB
+  // already holds and only surface the error when there is no fallback.
+  let ensureError: unknown = null;
+  try {
+    await ensureLatestCollectiveXRun(version);
+  } catch (error) {
+    ensureError = error;
+  }
+
+  try {
+    const row = await getLatestCollectiveXRun(getCollectiveXDb(), version);
+    if (row !== null) {
+      if (ensureError)
+        console.error('CollectiveX discovery failed; serving stored run:', ensureError);
+      return cachedJson(collectiveXDatasetFromRow(row), {
+        tag: COLLECTIVEX_CACHE_SCOPE,
+        cacheControl: COLLECTIVEX_CACHE_CONTROL,
+      });
+    }
+    if (ensureError) {
+      console.error('CollectiveX discovery failed with no stored fallback:', ensureError);
+      const status = collectiveXSweepErrorStatus(ensureError) ?? 502;
+      return NextResponse.json({ error: 'Unavailable' }, { status });
+    }
+    return NextResponse.json({ error: 'Not found' }, { status: 404 });
+  } catch (error) {
+    console.error('Error fetching CollectiveX latest run:', error);
+    return NextResponse.json({ error: 'Internal server error' }, { status: 500 });
+  }
+}
diff --git a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.test.ts b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.test.ts
new file mode 100644
index 000000000..cfd20042b
--- /dev/null
+++ b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.test.ts
@@ -0,0 +1,158 @@
+import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
+
+import { makeCollectiveXDataset } from '@semianalysisai/inferencex-db/collectivex/test-fixture';
+
+const { mockGetRun, mockDelete, mockFromRow, mockGetDb, mockGetWriteDb, mockPurge, mockEnsureRun } =
+  vi.hoisted(() => ({
+    mockGetRun: vi.fn(),
+    mockDelete: vi.fn(),
+    mockFromRow: vi.fn(),
+    mockGetDb: vi.fn(() => 'mock-sql'),
+    mockGetWriteDb: vi.fn(() => 'mock-write-sql'),
+    mockPurge: vi.fn(() => Promise.resolve(0)),
+    mockEnsureRun: vi.fn(),
+  }));
+
+vi.mock('@semianalysisai/inferencex-db/connection', () => ({
+  getCollectiveXDb: mockGetDb,
+  getCollectiveXWriteDb: mockGetWriteDb,
+  FIXTURES_MODE: false,
+}));
+
+vi.mock('@semianalysisai/inferencex-db/queries/collectivex', () => ({
+  getCollectiveXRun: mockGetRun,
+  deleteCollectiveXRun: mockDelete,
+  collectiveXDatasetFromRow: mockFromRow,
+}));
+
+vi.mock('@/lib/collectivex-lazy-ingest', () => ({
+  ensureCollectiveXRun: mockEnsureRun,
+  collectiveXSweepErrorStatus: (error: unknown) => {
+    const code = error instanceof Error && 'code' in error ? (error.code as string) : null;
+    if (code === 'not-found') return 404;
+    if (code === 'unavailable') return 503;
+    if (code === 'invalid') return 502;
+    return null;
+  },
+}));
+
+vi.mock('@/lib/api-cache', () => ({
+  COLLECTIVEX_CACHE_SCOPE: 'collectivex',
+  COLLECTIVEX_CACHE_CONTROL: 'public, max-age=0, s-maxage=60',
+  cachedJson: (data: unknown) => Response.json(data),
+  purgeCollectiveX: mockPurge,
+}));
+
+import { NextRequest } from 'next/server';
+
+import { DELETE, GET } from './route';
+
+const SECRET = 'test-admin-secret';
+const dataset = makeCollectiveXDataset();
+const runId = dataset.run.run_id;
+
+function sweepError(code: string): Error {
+  return Object.assign(new Error(code), { code });
+}
+
+function get(url: string, id: string) {
+  return GET(new NextRequest(new URL(url, 'http://localhost')), {
+    params: Promise.resolve({ runId: id }),
+  });
+}
+
+function del(id: string, token?: string) {
+  return DELETE(
+    new NextRequest(new URL(`/api/v1/collectivex/runs/${id}`, 'http://localhost'), {
+      method: 'DELETE',
+      headers: token ? { Authorization: `Bearer ${token}` } : {},
+    }),
+    { params: Promise.resolve({ runId: id }) },
+  );
+}
+
+beforeEach(() => {
+  vi.clearAllMocks();
+  vi.stubEnv('COLLECTIVEX_ADMIN_SECRET', SECRET);
+  mockEnsureRun.mockResolvedValue(undefined);
+  mockGetRun.mockResolvedValue({ run_id: runId });
+  mockFromRow.mockReturnValue(dataset);
+  mockDelete.mockResolvedValue(true);
+});
+
+afterEach(() => {
+  vi.unstubAllEnvs();
+});
+
+describe('GET /api/v1/collectivex/runs/[runId]', () => {
+  it('returns 400 for malformed version or run id', async () => {
+    const badRunId = await get(`/x?version=1`, 'abc');
+    const badVersion = await get(`/x?version=99`, runId);
+    expect(badRunId.status).toBe(400);
+    expect(badVersion.status).toBe(400);
+    expect(mockEnsureRun).not.toHaveBeenCalled();
+  });
+
+  it('lazily ingests then serves the run assembled as a dataset', async () => {
+    const res = await get(`/x?version=1`, runId);
+    expect(res.status).toBe(200);
+    expect(await res.json()).toEqual(dataset);
+    expect(mockEnsureRun).toHaveBeenCalledWith(1, runId);
+    expect(mockGetRun).toHaveBeenCalledWith('mock-sql', 1, runId);
+  });
+
+  it.each([
+    ['not-found', 404],
+    ['unavailable', 503],
+    ['invalid', 502],
+  ] as const)('maps %s ingest failures without exposing details', async (code, status) => {
+    vi.spyOn(console, 'error').mockImplementation(() => {});
+    mockEnsureRun.mockRejectedValue(sweepError(code));
+    const res = await get(`/x?version=1`, runId);
+    expect(res.status).toBe(status);
+  });
+
+  it('returns 404 when the run is absent after a clean ensure', async () => {
+    mockGetRun.mockResolvedValue(null);
+    const res = await get(`/x?version=1`, runId);
+    expect(res.status).toBe(404);
+  });
+});
+
+describe('DELETE /api/v1/collectivex/runs/[runId]', () => {
+  it('rejects missing or wrong bearer tokens', async () => {
+    const missing = await del(runId);
+    const wrong = await del(runId, 'wrong-token');
+    expect(missing.status).toBe(401);
+    expect(wrong.status).toBe(401);
+    expect(mockDelete).not.toHaveBeenCalled();
+  });
+
+  it('rejects all requests when the secret is not configured', async () => {
+    vi.stubEnv('COLLECTIVEX_ADMIN_SECRET', '');
+    const res = await del(runId, '');
+    expect(res.status).toBe(401);
+    expect(mockDelete).not.toHaveBeenCalled();
+  });
+
+  it('tombstones the run and purges only the CollectiveX cache scope', async () => {
+    const res = await del(runId, SECRET);
+    expect(res.status).toBe(200);
+    expect(await res.json()).toEqual({ deleted: true, runId });
+    expect(mockDelete).toHaveBeenCalledWith('mock-write-sql', runId);
+    expect(mockPurge).toHaveBeenCalledTimes(1);
+  });
+
+  it('returns 404 without purging when the run does not exist', async () => {
+    mockDelete.mockResolvedValue(false);
+    const res = await del(runId, SECRET);
+    expect(res.status).toBe(404);
+    expect(mockPurge).not.toHaveBeenCalled();
+  });
+
+  it('returns 400 for malformed run ids', async () => {
+    const res = await del('not-a-run-id', SECRET);
+    expect(res.status).toBe(400);
+    expect(mockDelete).not.toHaveBeenCalled();
+  });
+});
diff --git a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
new file mode 100644
index 000000000..44469d14d
--- /dev/null
+++ b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
@@ -0,0 +1,104 @@
+import { timingSafeEqual } from 'crypto';
+
+import { type NextRequest, NextResponse } from 'next/server';
+
+import { parseCollectiveXVersion } from '@semianalysisai/inferencex-db/collectivex/types';
+import {
+  FIXTURES_MODE,
+  getCollectiveXDb,
+  getCollectiveXWriteDb,
+} from '@semianalysisai/inferencex-db/connection';
+import {
+  collectiveXDatasetFromRow,
+  deleteCollectiveXRun,
+  getCollectiveXRun,
+} from '@semianalysisai/inferencex-db/queries/collectivex';
+
+import {
+  COLLECTIVEX_CACHE_CONTROL,
+  COLLECTIVEX_CACHE_SCOPE,
+  cachedJson,
+  purgeCollectiveX,
+} from '@/lib/api-cache';
+import { collectiveXSweepErrorStatus, ensureCollectiveXRun } from '@/lib/collectivex-lazy-ingest';
+import { loadFixture } from '@/lib/test-fixtures';
+
+export const dynamic = 'force-dynamic';
+export const runtime = 'nodejs';
+
+const RUN_ID = /^[1-9][0-9]*$/u;
+
+export async function GET(request: NextRequest, context: { params: Promise<{ runId: string }> }) {
+  const { runId } = await context.params;
+  const version = parseCollectiveXVersion(request.nextUrl.searchParams.get('version') ?? '');
+  if (!version || !RUN_ID.test(runId)) {
+    return NextResponse.json({ error: 'Unknown version or run id' }, { status: 400 });
+  }
+  if (FIXTURES_MODE) return cachedJson(loadFixture('collectivex-latest'));
+
+  try {
+    await ensureCollectiveXRun(version, runId);
+    const row = await getCollectiveXRun(getCollectiveXDb(), version, runId);
+    if (row === null) {
+      return NextResponse.json({ error: 'Not found' }, { status: 404 });
+    }
+    // Short window like the sibling routes: a GitHub re-run of failed shards
+    // refreshes this run's stored contents, and deletion must not linger.
+    return cachedJson(collectiveXDatasetFromRow(row), {
+      tag: COLLECTIVEX_CACHE_SCOPE,
+      cacheControl: COLLECTIVEX_CACHE_CONTROL,
+    });
+  } catch (error) {
+    const status = collectiveXSweepErrorStatus(error);
+    if (status !== null) {
+      return NextResponse.json({ error: status === 404 ? 'Not found' : 'Unavailable' }, { status });
+    }
+    console.error('Error fetching CollectiveX run:', error);
+    return NextResponse.json({ error: 'Internal server error' }, { status: 500 });
+  }
+}
+
+/** Constant-time Bearer check that tolerates multibyte header bytes. */
+function bearerMatches(header: string, secret: string): boolean {
+  const provided = Buffer.from(header);
+  const expected = Buffer.from(`Bearer ${secret}`);
+  // Compare BYTE lengths — a multibyte char can make the JS string lengths
+  // equal while the buffers differ, and timingSafeEqual throws on that.
+  return provided.length === expected.length && timingSafeEqual(provided, expected);
+}
+
+/**
+ * Admin deletion of an ingested run. Authenticated with a dedicated Bearer
+ * secret — the token is remembered in browser localStorage, so it must not
+ * be the CI-held INVALIDATE_SECRET (scoped blast radius, independently
+ * rotatable). Deletion tombstones the run (lazy discovery must never
+ * re-ingest it) and purges the CollectiveX cache scope so the picker and
+ * latest views drop it immediately.
+ */
+export async function DELETE(
+  request: NextRequest,
+  context: { params: Promise<{ runId: string }> },
+) {
+  const secret = process.env.COLLECTIVEX_ADMIN_SECRET;
+  const authHeader = request.headers.get('Authorization') ?? '';
+  if (!secret || !bearerMatches(authHeader, secret)) {
+    return new NextResponse('Unauthorized', { status: 401 });
+  }
+
+  const { runId } = await context.params;
+  if (!RUN_ID.test(runId)) {
+    return NextResponse.json({ error: 'Unknown run id' }, { status: 400 });
+  }
+
+  try {
+    const deleted = await deleteCollectiveXRun(getCollectiveXWriteDb(), runId);
+    if (!deleted) {
+      return NextResponse.json({ error: 'Not found' }, { status: 404 });
+    }
+    purgeCollectiveX();
+    return NextResponse.json({ deleted: true, runId });
+  } catch (error) {
+    console.error('Error deleting CollectiveX run:', error);
+    return NextResponse.json({ error: 'Internal server error' }, { status: 500 });
+  }
+}
diff --git a/packages/app/src/app/api/v1/collectivex/runs/route.test.ts b/packages/app/src/app/api/v1/collectivex/runs/route.test.ts
new file mode 100644
index 000000000..a9d3772ec
--- /dev/null
+++ b/packages/app/src/app/api/v1/collectivex/runs/route.test.ts
@@ -0,0 +1,102 @@
+import { beforeEach, describe, expect, it, vi } from 'vitest';
+
+import { buildRunSummary } from '@semianalysisai/inferencex-db/collectivex/reader';
+import { makeCollectiveXDataset } from '@semianalysisai/inferencex-db/collectivex/test-fixture';
+
+const { mockList, mockGetDb, mockEnsureList } = vi.hoisted(() => ({
+  mockList: vi.fn(),
+  mockGetDb: vi.fn(() => 'mock-sql'),
+  mockEnsureList: vi.fn(),
+}));
+
+vi.mock('@semianalysisai/inferencex-db/connection', () => ({
+  getCollectiveXDb: mockGetDb,
+  FIXTURES_MODE: false,
+}));
+
+vi.mock('@semianalysisai/inferencex-db/queries/collectivex', () => ({
+  listCollectiveXRuns: mockList,
+}));
+
+vi.mock('@/lib/collectivex-lazy-ingest', () => ({
+  ensureCollectiveXRunsList: mockEnsureList,
+  collectiveXSweepErrorStatus: (error: unknown) => {
+    const code = error instanceof Error && 'code' in error ? (error.code as string) : null;
+    if (code === 'not-found') return 404;
+    if (code === 'unavailable') return 503;
+    if (code === 'invalid') return 502;
+    return null;
+  },
+}));
+
+vi.mock('@/lib/api-cache', () => ({
+  COLLECTIVEX_CACHE_SCOPE: 'collectivex',
+  COLLECTIVEX_CACHE_CONTROL: 'public, max-age=0, s-maxage=60',
+  cachedJson: (data: unknown) => Response.json(data),
+}));
+
+import { NextRequest } from 'next/server';
+
+import { GET } from './route';
+
+function req(url: string): NextRequest {
+  return new NextRequest(new URL(url, 'http://localhost'));
+}
+
+function sweepError(code: string): Error {
+  return Object.assign(new Error(code), { code });
+}
+
+const summary = buildRunSummary(makeCollectiveXDataset());
+
+beforeEach(() => {
+  vi.clearAllMocks();
+  vi.spyOn(console, 'error').mockImplementation(() => {});
+  mockEnsureList.mockResolvedValue(undefined);
+  mockList.mockResolvedValue([summary]);
+});
+
+describe('GET /api/v1/collectivex/runs', () => {
+  it('returns 400 for a missing or unknown version', async () => {
+    for (const url of ['/api/v1/collectivex/runs', '/api/v1/collectivex/runs?version=abc']) {
+      const res = await GET(req(url));
+      expect(res.status).toBe(400);
+    }
+    expect(mockEnsureList).not.toHaveBeenCalled();
+  });
+
+  it('backfills recent runs then lists stored summaries newest first', async () => {
+    const res = await GET(req('/api/v1/collectivex/runs?version=1'));
+    expect(res.status).toBe(200);
+    expect(await res.json()).toEqual({ version: 1, runs: [summary] });
+    expect(mockEnsureList).toHaveBeenCalledWith(1);
+    expect(mockList).toHaveBeenCalledWith('mock-sql', 1);
+  });
+
+  it('serves the stored list when the GitHub backfill fails', async () => {
+    mockEnsureList.mockRejectedValue(sweepError('unavailable'));
+    const res = await GET(req('/api/v1/collectivex/runs?version=1'));
+    expect(res.status).toBe(200);
+    expect(await res.json()).toEqual({ version: 1, runs: [summary] });
+  });
+
+  it('returns 503 when the backfill fails and nothing is stored', async () => {
+    mockEnsureList.mockRejectedValue(sweepError('unavailable'));
+    mockList.mockResolvedValue([]);
+    const res = await GET(req('/api/v1/collectivex/runs?version=1'));
+    expect(res.status).toBe(503);
+  });
+
+  it('returns an empty list when GitHub has no runs yet', async () => {
+    mockList.mockResolvedValue([]);
+    const res = await GET(req('/api/v1/collectivex/runs?version=1'));
+    expect(res.status).toBe(200);
+    expect(await res.json()).toEqual({ version: 1, runs: [] });
+  });
+
+  it('returns 500 without leaking details on DB failure', async () => {
+    mockList.mockRejectedValue(new Error('boom'));
+    const res = await GET(req('/api/v1/collectivex/runs?version=1'));
+    expect(res.status).toBe(500);
+  });
+});
diff --git a/packages/app/src/app/api/v1/collectivex/runs/route.ts b/packages/app/src/app/api/v1/collectivex/runs/route.ts
new file mode 100644
index 000000000..317684220
--- /dev/null
+++ b/packages/app/src/app/api/v1/collectivex/runs/route.ts
@@ -0,0 +1,51 @@
+import { type NextRequest, NextResponse } from 'next/server';
+
+import { parseCollectiveXVersion } from '@semianalysisai/inferencex-db/collectivex/types';
+import { FIXTURES_MODE, getCollectiveXDb } from '@semianalysisai/inferencex-db/connection';
+import { listCollectiveXRuns } from '@semianalysisai/inferencex-db/queries/collectivex';
+
+import { COLLECTIVEX_CACHE_CONTROL, COLLECTIVEX_CACHE_SCOPE, cachedJson } from '@/lib/api-cache';
+import {
+  collectiveXSweepErrorStatus,
+  ensureCollectiveXRunsList,
+} from '@/lib/collectivex-lazy-ingest';
+import { loadFixture } from '@/lib/test-fixtures';
+
+export const dynamic = 'force-dynamic';
+export const runtime = 'nodejs';
+
+export async function GET(request: NextRequest) {
+  const version = parseCollectiveXVersion(request.nextUrl.searchParams.get('version') ?? '');
+  if (!version) {
+    return NextResponse.json({ error: 'Unknown version' }, { status: 400 });
+  }
+  if (FIXTURES_MODE) return cachedJson(loadFixture('collectivex-runs'));
+
+  // Backfill failures must not take the picker down — serve the stored list
+  // and only surface the error when there is nothing at all to show.
+  let ensureError: unknown = null;
+  try {
+    await ensureCollectiveXRunsList(version);
+  } catch (error) {
+    ensureError = error;
+  }
+
+  try {
+    const runs = await listCollectiveXRuns(getCollectiveXDb(), version);
+    if (runs.length === 0 && ensureError) {
+      console.error('CollectiveX run backfill failed with no stored fallback:', ensureError);
+      const status = collectiveXSweepErrorStatus(ensureError) ?? 502;
+      return NextResponse.json({ error: 'Unavailable' }, { status });
+    }
+    if (ensureError) {
+      console.error('CollectiveX run backfill failed; serving stored list:', ensureError);
+    }
+    return cachedJson(
+      { version, runs },
+      { tag: COLLECTIVEX_CACHE_SCOPE, cacheControl: COLLECTIVEX_CACHE_CONTROL },
+    );
+  } catch (error) {
+    console.error('Error listing CollectiveX runs:', error);
+    return NextResponse.json({ error: 'Internal server error' }, { status: 500 });
+  }
+}
diff --git a/packages/app/src/app/api/v1/invalidate/route.test.ts b/packages/app/src/app/api/v1/invalidate/route.test.ts
index 5b67ffa40..06b8fc838 100644
--- a/packages/app/src/app/api/v1/invalidate/route.test.ts
+++ b/packages/app/src/app/api/v1/invalidate/route.test.ts
@@ -1,11 +1,14 @@
 import { describe, expect, it, vi, beforeEach, afterEach } from 'vitest';
 
-const { mockPurgeAll } = vi.hoisted(() => ({
+const { mockPurgeAll, mockPurgeCollectiveX } = vi.hoisted(() => ({
   mockPurgeAll: vi.fn(),
+  mockPurgeCollectiveX: vi.fn(),
 }));
 
 vi.mock('@/lib/api-cache', () => ({
+  COLLECTIVEX_CACHE_SCOPE: 'collectivex',
   purgeAll: mockPurgeAll,
+  purgeCollectiveX: mockPurgeCollectiveX,
 }));
 
 import { POST } from './route';
@@ -26,8 +29,8 @@ afterEach(() => {
   }
 });
 
-function postReq(headers?: Record<string, string>): Request {
-  return new Request('http://localhost/api/v1/invalidate', {
+function postReq(headers?: Record<string, string>, query = ''): Request {
+  return new Request(`http://localhost/api/v1/invalidate${query}`, {
     method: 'POST',
     headers: headers ?? {},
   });
@@ -76,4 +79,22 @@ describe('POST /api/v1/invalidate', () => {
     const body = await res.json();
     expect(body).toEqual({ invalidated: true, blobsDeleted: 0 });
   });
+
+  it('purges only the CollectiveX scope when requested', async () => {
+    const res = await POST(
+      postReq({ Authorization: 'Bearer test-secret-123' }, '?scope=collectivex'),
+    );
+    expect(res.status).toBe(200);
+    const body = await res.json();
+    expect(body).toEqual({ invalidated: true, scope: 'collectivex' });
+    expect(mockPurgeCollectiveX).toHaveBeenCalledOnce();
+    expect(mockPurgeAll).not.toHaveBeenCalled();
+  });
+
+  it('rejects unknown scopes without purging anything', async () => {
+    const res = await POST(postReq({ Authorization: 'Bearer test-secret-123' }, '?scope=nope'));
+    expect(res.status).toBe(400);
+    expect(mockPurgeAll).not.toHaveBeenCalled();
+    expect(mockPurgeCollectiveX).not.toHaveBeenCalled();
+  });
 });
diff --git a/packages/app/src/app/api/v1/invalidate/route.ts b/packages/app/src/app/api/v1/invalidate/route.ts
index 3f549cbdf..89c38f3a2 100644
--- a/packages/app/src/app/api/v1/invalidate/route.ts
+++ b/packages/app/src/app/api/v1/invalidate/route.ts
@@ -2,22 +2,31 @@ import { timingSafeEqual } from 'crypto';
 
 import { NextResponse } from 'next/server';
 
-import { purgeAll } from '@/lib/api-cache';
+import { COLLECTIVEX_CACHE_SCOPE, purgeAll, purgeCollectiveX } from '@/lib/api-cache';
 
 export async function POST(request: Request) {
   const secret = process.env.INVALIDATE_SECRET;
   const authHeader = request.headers.get('Authorization') ?? '';
-  const expected = `Bearer ${secret}`;
+  const provided = Buffer.from(authHeader);
+  const expected = Buffer.from(`Bearer ${secret}`);
 
-  if (
-    !secret ||
-    authHeader.length !== expected.length ||
-    !timingSafeEqual(Buffer.from(authHeader), Buffer.from(expected))
-  ) {
+  // Compare BYTE lengths — a multibyte char can make the JS string lengths
+  // equal while the buffers differ, and timingSafeEqual throws on that.
+  if (!secret || provided.length !== expected.length || !timingSafeEqual(provided, expected)) {
     return new NextResponse('Unauthorized', { status: 401 });
   }
 
-  const blobsDeleted = await purgeAll();
+  // ?scope=collectivex purges only the CollectiveX cache scope; the default
+  // remains a full purge (which covers CollectiveX too).
+  const scope = new URL(request.url).searchParams.get('scope');
+  if (scope && scope !== COLLECTIVEX_CACHE_SCOPE) {
+    return NextResponse.json({ error: 'unknown scope' }, { status: 400 });
+  }
+  if (scope === COLLECTIVEX_CACHE_SCOPE) {
+    purgeCollectiveX();
+    return NextResponse.json({ invalidated: true, scope });
+  }
 
+  const blobsDeleted = await purgeAll();
   return NextResponse.json({ invalidated: true, blobsDeleted });
 }
diff --git a/packages/app/src/app/collectivex-data/[...path]/route.test.ts b/packages/app/src/app/collectivex-data/[...path]/route.test.ts
deleted file mode 100644
index 872f10213..000000000
--- a/packages/app/src/app/collectivex-data/[...path]/route.test.ts
+++ /dev/null
@@ -1,110 +0,0 @@
-import { beforeEach, describe, expect, it, vi } from 'vitest';
-
-import { buildRunSummary } from '@/components/collectivex/reader';
-import { makeCollectiveXDataset } from '@/components/collectivex/test-fixture';
-
-const github = vi.hoisted(() => ({
-  errorCode: vi.fn((error: unknown) =>
-    error instanceof Error && 'code' in error ? (error.code as string) : null,
-  ),
-  load: vi.fn(),
-  list: vi.fn(),
-}));
-
-vi.mock('@/lib/collectivex-github', () => ({
-  collectiveXSweepErrorCode: github.errorCode,
-  loadCollectiveXSweepRun: github.load,
-  listCollectiveXSweepRuns: github.list,
-}));
-
-import { GET } from './route';
-
-const dataset = makeCollectiveXDataset();
-const runId = dataset.run.run_id;
-const summary = buildRunSummary(dataset);
-
-function request(...segments: string[]) {
-  return GET(new Request('http://localhost/collectivex-data/test'), {
-    params: Promise.resolve({ path: segments }),
-  });
-}
-
-beforeEach(() => {
-  github.load.mockReset();
-  github.list.mockReset();
-  github.load.mockResolvedValue(dataset);
-  github.list.mockResolvedValue([summary]);
-});
-
-describe('CollectiveX sweep data route', () => {
-  it('serves the latest run dataset without a run id', async () => {
-    const response = await request('1', 'latest.json');
-    const served = await response.json();
-
-    expect(response.status).toBe(200);
-    expect(response.headers.get('cache-control')).toContain('s-maxage=60');
-    expect(response.headers.get('x-collectivex-source')).toBe('github-actions');
-    expect(served).toEqual(dataset);
-    expect(github.load).toHaveBeenCalledWith(1, undefined);
-  });
-
-  it('serves a specific run by id with a short rerun-safe cache window', async () => {
-    const response = await request('1', 'runs', `${runId}.json`);
-    const served = await response.json();
-
-    expect(response.status).toBe(200);
-    expect(response.headers.get('cache-control')).toContain('s-maxage=60');
-    expect(served).toEqual(dataset);
-    expect(github.load).toHaveBeenCalledWith(1, runId);
-  });
-
-  it('lists recent runs as a neutral run summary document', async () => {
-    const response = await request('1', 'runs.json');
-    const body = (await response.json()) as {
-      version: number;
-      runs: unknown[];
-    };
-
-    expect(response.status).toBe(200);
-    expect(response.headers.get('cache-control')).toContain('s-maxage=60');
-    expect(body.version).toBe(1);
-    expect(body.runs).toHaveLength(1);
-    expect(github.list).toHaveBeenCalledWith(1);
-    expect(github.load).not.toHaveBeenCalled();
-  });
-
-  it.each([
-    ['not-found', 404],
-    ['unavailable', 503],
-    ['invalid', 502],
-  ] as const)('maps %s source failures without exposing details', async (code, status) => {
-    github.load.mockRejectedValue(Object.assign(new Error('private upstream detail'), { code }));
-
-    const response = await request('1', 'latest.json');
-
-    expect(response.status).toBe(status);
-    expect(await response.text()).toBe('');
-  });
-
-  it('rejects a non-numeric run id before contacting the source', async () => {
-    const response = await request('1', 'runs', 'latest.json');
-    expect(response.status).toBe(404);
-    expect(github.load).not.toHaveBeenCalled();
-  });
-
-  it('rejects unlisted paths before contacting the source', async () => {
-    const response = await request('private', 'bundle.json');
-    expect(response.status).toBe(404);
-    expect(github.load).not.toHaveBeenCalled();
-    expect(github.list).not.toHaveBeenCalled();
-  });
-
-  it.each(['v1', '0', '99', '01'])(
-    'rejects the unknown version segment %s before contacting the source',
-    async (segment) => {
-      const response = await request(segment, 'latest.json');
-      expect(response.status).toBe(404);
-      expect(github.load).not.toHaveBeenCalled();
-    },
-  );
-});
diff --git a/packages/app/src/app/collectivex-data/[...path]/route.ts b/packages/app/src/app/collectivex-data/[...path]/route.ts
deleted file mode 100644
index 92125fb21..000000000
--- a/packages/app/src/app/collectivex-data/[...path]/route.ts
+++ /dev/null
@@ -1,68 +0,0 @@
-import {
-  collectiveXSweepErrorCode,
-  listCollectiveXSweepRuns,
-  loadCollectiveXSweepRun,
-} from '@/lib/collectivex-github';
-import { COLLECTIVEX_VERSIONS, parseCollectiveXVersion } from '@/components/collectivex/types';
-
-export const dynamic = 'force-dynamic';
-export const runtime = 'nodejs';
-
-const VERSION_PATTERN = COLLECTIVEX_VERSIONS.join('|');
-const RUNS = new RegExp(`^(?<version>${VERSION_PATTERN})/runs\\.json$`);
-const LATEST = new RegExp(`^(?<version>${VERSION_PATTERN})/latest\\.json$`);
-const RUN = new RegExp(`^(?<version>${VERSION_PATTERN})/runs/(?<runId>[1-9][0-9]*)\\.json$`);
-
-function unavailable(status: number) {
-  return new Response(null, { status, headers: { 'Cache-Control': 'no-store' } });
-}
-
-function json(body: BodyInit, cacheControl: string) {
-  return new Response(body, {
-    headers: {
-      'Cache-Control': cacheControl,
-      'Content-Type': 'application/json; charset=utf-8',
-      'X-CollectiveX-Source': 'github-actions',
-      'X-Content-Type-Options': 'nosniff',
-    },
-  });
-}
-
-export async function GET(_request: Request, context: { params: Promise<{ path: string[] }> }) {
-  const parameters = await context.params;
-  const relative = parameters.path.join('/');
-  const runs = RUNS.exec(relative);
-  const latest = LATEST.exec(relative);
-  const run = RUN.exec(relative);
-  if (!runs && !latest && !run) return unavailable(404);
-
-  const version = parseCollectiveXVersion(
-    runs?.groups?.version ?? latest?.groups?.version ?? run?.groups?.version ?? '',
-  );
-  if (!version) return unavailable(404);
-
-  if (runs) {
-    try {
-      const listing = await listCollectiveXSweepRuns(version);
-      return json(
-        `${JSON.stringify({ version, runs: listing })}\n`,
-        'public, s-maxage=60, stale-while-revalidate=300',
-      );
-    } catch (error) {
-      const code = collectiveXSweepErrorCode(error);
-      if (code === 'not-found') return unavailable(404);
-      if (code === 'unavailable') return unavailable(503);
-      return unavailable(502);
-    }
-  }
-
-  try {
-    const dataset = await loadCollectiveXSweepRun(version, run?.groups?.runId);
-    return json(`${JSON.stringify(dataset)}\n`, 'public, s-maxage=60, stale-while-revalidate=300');
-  } catch (error) {
-    const code = collectiveXSweepErrorCode(error);
-    if (code === 'not-found') return unavailable(404);
-    if (code === 'unavailable') return unavailable(503);
-    return unavailable(502);
-  }
-}
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index 581cc09ca..1f2cdb7a3 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -1,6 +1,6 @@
 'use client';
 
-import { BookOpen, ExternalLink, Loader2, RefreshCw } from 'lucide-react';
+import { BookOpen, ExternalLink, Loader2, RefreshCw, Trash2 } from 'lucide-react';
 import { useCallback, useEffect, useMemo, useState } from 'react';
 
 import { Button } from '@/components/ui/button';
@@ -15,7 +15,12 @@ import {
   SelectTrigger,
   SelectValue,
 } from '@/components/ui/select';
-import { useCollectiveX, useCollectiveXRun, useCollectiveXRuns } from '@/hooks/api/use-collectivex';
+import {
+  useCollectiveX,
+  useCollectiveXRun,
+  useCollectiveXRuns,
+  useDeleteCollectiveXRun,
+} from '@/hooks/api/use-collectivex';
 import { useThemeColors } from '@/hooks/useThemeColors';
 import { track } from '@/lib/analytics';
 import { useLocale } from '@/lib/use-locale';
@@ -106,6 +111,12 @@ const STRINGS = {
     resetFilter: 'Reset filter',
     payloadNote:
       'Payload rate is derived at the selected latency percentile and is not physical link bandwidth.',
+    deleteRun: 'Delete run',
+    deleteConfirm: (id: string) =>
+      `Delete run #${id} from the dashboard database? This cannot be undone.`,
+    deleteTokenPrompt: 'Admin token required to delete runs:',
+    deleteUnauthorized: 'Invalid admin token.',
+    deleteFailed: 'Deleting the run failed. Try again.',
   },
   zh: {
     operation: {
@@ -231,6 +242,14 @@ const STRINGS = {
     attemptLabel: 'Attempt',
     matrixLabel: 'Matrix',
     sourceBundles: '源产物包',
+    // English placeholders per the repository's temporary language override
+    // (no new Chinese translations); localize when the override lifts.
+    deleteRun: 'Delete run',
+    deleteConfirm: (id: string) =>
+      `Delete run #${id} from the dashboard database? This cannot be undone.`,
+    deleteTokenPrompt: 'Admin token required to delete runs:',
+    deleteUnauthorized: 'Invalid admin token.',
+    deleteFailed: 'Deleting the run failed. Try again.',
   },
 } as const;
 const CONCLUSION_CLASSES: Record<string, string> = {
@@ -239,6 +258,9 @@ const CONCLUSION_CLASSES: Record<string, string> = {
 };
 const CONCLUSION_FALLBACK_CLASS =
   'border-amber-600/40 bg-amber-500/10 text-amber-700 dark:text-amber-300';
+// Remembered admin bearer token for run deletion; cleared on a 401 so a
+// rotated secret re-prompts instead of failing silently forever.
+const ADMIN_TOKEN_STORAGE_KEY = 'collectivex-admin-token';
 
 function formatDate(value: string, locale: 'en' | 'zh'): string {
   return new Intl.DateTimeFormat(locale === 'zh' ? 'zh-CN' : 'en', {
@@ -467,6 +489,32 @@ export default function CollectiveXDisplay() {
     void activeQuery.refetch();
     if (runsRequested) void runsQuery.refetch();
   }, [activeQuery, runsQuery, runsRequested]);
+  const deleteRun = useDeleteCollectiveXRun();
+  const shownRunId = dataset?.run.run_id;
+  const handleDeleteRun = useCallback(async () => {
+    if (!shownRunId) return;
+    track('collectivex_run_delete_prompted', { run: shownRunId });
+    if (!window.confirm(t.deleteConfirm(shownRunId))) return;
+    const stored = localStorage.getItem(ADMIN_TOKEN_STORAGE_KEY) ?? '';
+    const token = stored || (window.prompt(t.deleteTokenPrompt)?.trim() ?? '');
+    if (!token) return;
+    try {
+      const deleted = await deleteRun.mutateAsync({ runId: shownRunId, token });
+      if (!deleted) {
+        localStorage.removeItem(ADMIN_TOKEN_STORAGE_KEY);
+        track('collectivex_run_delete_failed', { run: shownRunId, reason: 'unauthorized' });
+        window.alert(t.deleteUnauthorized);
+        return;
+      }
+      localStorage.setItem(ADMIN_TOKEN_STORAGE_KEY, token);
+      track('collectivex_run_delete_confirmed', { run: shownRunId });
+      // The deleted run can no longer be pinned; fall back to the new latest.
+      setSelectedRunId(null);
+    } catch {
+      track('collectivex_run_delete_failed', { run: shownRunId, reason: 'error' });
+      window.alert(t.deleteFailed);
+    }
+  }, [deleteRun, shownRunId, t]);
   if (isLoading) {
     return (
       <Card data-testid="collectivex-loading" className="min-h-80 items-center justify-center">
@@ -560,6 +608,21 @@ export default function CollectiveXDisplay() {
               )}
               {t.refresh}
             </Button>
+            <Button
+              variant="outline"
+              size="sm"
+              data-testid="collectivex-delete-run"
+              className="text-destructive hover:bg-destructive/10 hover:text-destructive"
+              onClick={() => void handleDeleteRun()}
+              disabled={deleteRun.isPending}
+            >
+              {deleteRun.isPending ? (
+                <Loader2 className="size-4 animate-spin" />
+              ) : (
+                <Trash2 className="size-4" />
+              )}
+              {t.deleteRun}
+            </Button>
           </div>
         </div>
         <div className="mt-5 grid grid-cols-2 gap-3 sm:grid-cols-4">
diff --git a/packages/app/src/components/collectivex/test-fixture.ts b/packages/app/src/components/collectivex/test-fixture.ts
index f2b9ad867..8551afa82 100644
--- a/packages/app/src/components/collectivex/test-fixture.ts
+++ b/packages/app/src/components/collectivex/test-fixture.ts
@@ -1,242 +1,7 @@
-import { buildDatasetFromNeutral, type CollectiveXNeutralRunMeta } from './reader';
-import type { CollectiveXDataset, CollectiveXSeries } from './types';
+/**
+ * Re-export of the CollectiveX contract fixture builders, which live next to
+ * the shared reader in the db package. Kept at this path so component tests
+ * and cypress specs import fixtures the same way as the rest of this folder.
+ */
 
-type Json = Record<string, unknown>;
-
-const SOURCE_SHA = 'c'.repeat(40);
-const TOKEN_LADDERS = {
-  decode: '1 2 4 8 16 32 64 128 256 512',
-  prefill: '256 512 1024 2048',
-} as const;
-
-export interface RowOverrides {
-  tokensPerRank?: number;
-  globalTokens?: number;
-  stageUnavailable?: boolean;
-  stageZeroBytes?: boolean;
-}
-
-export interface ShardOverrides {
-  caseId?: string;
-  variant?: string;
-  sku?: string;
-  backend?: string;
-  implName?: string;
-  ep?: number;
-  phase?: string;
-  /** null models a pre-FP8 artifact: no precision field and no case_id suffix. */
-  precision?: string | null;
-  scaleUpTransport?: string;
-  scaleOutTransport?: string | null;
-  topologyClass?: string;
-  nodes?: number;
-  gpusPerNode?: number;
-  scaleUpDomain?: number;
-  vendor?: string;
-  workload?: string;
-  ladder?: string;
-  status?: string;
-  reasons?: string[];
-  rows?: RowOverrides[];
-}
-
-function percentiles(base: number): Json {
-  return { p50: base, p90: base * 1.08, p95: base * 1.12, p99: base * 1.2 };
-}
-
-function component(base: number): Json {
-  return { availability: 'measured', percentiles_us: percentiles(base) };
-}
-
-function bytes(activation: number): Json {
-  return { activation_data_bytes: activation };
-}
-
-function makeRawRow(index: number, row: RowOverrides, worldSize: number): Json {
-  const tokensPerRank = row.tokensPerRank ?? 128 * (index + 1);
-  const components: Json = {
-    dispatch: component(417 + index),
-    combine: component(392 + index),
-    roundtrip: component(921 + index),
-    stage: row.stageUnavailable
-      ? { availability: 'unavailable', percentiles_us: null }
-      : component(120 + index),
-  };
-  const byteProvenance: Json = {
-    dispatch: bytes(384763904),
-    combine: bytes(384763904),
-    roundtrip: bytes(769527808),
-  };
-  if (!row.stageUnavailable) {
-    byteProvenance.stage = bytes(row.stageZeroBytes ? 0 : 192381952);
-  }
-  return {
-    tokens_per_rank: tokensPerRank,
-    global_tokens: row.globalTokens ?? tokensPerRank * worldSize,
-    token_rate_at_latency_percentile: percentiles(8_338_218),
-    components,
-    byte_provenance: byteProvenance,
-  };
-}
-
-function makeRawCase(options: ShardOverrides, caseId: string): Json {
-  const phase = options.phase === 'prefill' ? 'prefill' : 'decode';
-  return {
-    case_id: caseId,
-    backend: options.backend ?? 'deepep-v2',
-    ep: options.ep ?? 8,
-    gpus_per_node: options.gpusPerNode ?? 8,
-    ladder: options.ladder ?? TOKEN_LADDERS[phase],
-    nodes: options.nodes ?? 1,
-    phase,
-    ...(options.precision === null ? {} : { precision: options.precision ?? 'bf16' }),
-    topology_class: options.topologyClass ?? 'h200-nvlink-island',
-    scale_up_domain: options.scaleUpDomain ?? 8,
-    scale_up_transport: options.scaleUpTransport ?? 'nvlink',
-    scale_out_transport: options.scaleOutTransport ?? null,
-  };
-}
-
-export function caseIdOf(options: ShardOverrides = {}): string {
-  if (options.caseId) return options.caseId;
-  const tail = options.variant ? `-${options.variant}` : '';
-  const precision = options.precision === null ? '' : `-${options.precision ?? 'bf16'}`;
-  return `${options.sku ?? 'h200-dgxc'}-${options.backend ?? 'deepep-v2'}-${options.workload ?? 'deepseek-v3'}-normal-${options.phase ?? 'decode'}-ep${options.ep ?? 8}-uniform${precision}${tail}`;
-}
-
-export function makeRawShard(options: ShardOverrides = {}): Json {
-  const caseId = caseIdOf(options);
-  const sku = options.sku ?? 'h200-dgxc';
-  const backend = options.backend ?? 'deepep-v2';
-  const phase = options.phase === 'prefill' ? 'prefill' : 'decode';
-  const ladder = options.ladder ?? TOKEN_LADDERS[phase];
-  const worldSize = (options.nodes ?? 1) * (options.gpusPerNode ?? 8);
-  const rows =
-    options.rows ?? ladder.split(/\s+/).map((tokens) => ({ tokensPerRank: Number(tokens) }));
-  return {
-    version: 1,
-    record_type: 'case-attempt',
-    identity: {
-      case_id: caseId,
-      case_factors: { sku, case: makeRawCase({ ...options, backend }, caseId) },
-    },
-    implementation: { name: options.implName ?? backend },
-    runtime: { vendor: options.vendor ?? 'nvidia' },
-    measurement: { rows: rows.map((row, index) => makeRawRow(index, row, worldSize)) },
-    outcome: {
-      status: options.status ?? 'success',
-      ...(options.reasons ? { reasons: options.reasons } : {}),
-    },
-  };
-}
-
-export function makeInvalidCaseAttempt(options: ShardOverrides = {}): Json {
-  return makeRawShard({ status: 'invalid', reasons: ['capability-gate'], ...options });
-}
-
-interface RequestedCaseSpec {
-  caseId: string;
-  sku: string;
-  disposition?: 'runnable' | 'unsupported';
-  reason?: string;
-  case: Json;
-}
-
-function requestedFromShard(shard: Json): RequestedCaseSpec {
-  const identity = shard.identity as Json;
-  const factors = identity.case_factors as Json;
-  return {
-    caseId: identity.case_id as string,
-    sku: factors.sku as string,
-    case: factors.case as Json,
-  };
-}
-
-export function makeRawMatrix(requested: RequestedCaseSpec[], version = 1): Json {
-  return {
-    version,
-    include: [],
-    requested_cases: requested.map((entry) => ({
-      case: entry.case,
-      sku: entry.sku,
-      disposition: entry.disposition ?? 'runnable',
-      reason: entry.reason ?? null,
-      detail: entry.reason ? 'unsupported by the selected backend/platform' : null,
-    })),
-  };
-}
-
-export function makeRunMeta(
-  overrides: Partial<CollectiveXNeutralRunMeta> = {},
-): CollectiveXNeutralRunMeta {
-  return {
-    run_id: '160',
-    run_attempt: 1,
-    generated_at: '2026-07-08T12:20:00Z',
-    conclusion: 'success',
-    source_sha: SOURCE_SHA,
-    ...overrides,
-  };
-}
-
-export function buildDataset(
-  options: {
-    shards?: Json[];
-    requestedCases?: RequestedCaseSpec[];
-    meta?: Partial<CollectiveXNeutralRunMeta>;
-  } = {},
-): CollectiveXDataset {
-  const shards = options.shards ?? [makeRawShard()];
-  const requested = [...shards.map(requestedFromShard), ...(options.requestedCases ?? [])];
-  return buildDatasetFromNeutral(makeRawMatrix(requested), shards, makeRunMeta(options.meta));
-}
-
-export function makeCollectiveXSeries(overrides: ShardOverrides = {}): CollectiveXSeries {
-  return buildDataset({ shards: [makeRawShard(overrides)] }).series[0];
-}
-
-export function makeCollectiveXDataset(): CollectiveXDataset {
-  const shardA = makeRawShard();
-  const shardB = makeRawShard({
-    sku: 'mi355x',
-    backend: 'mori',
-    implName: 'mori',
-    vendor: 'amd',
-    ep: 16,
-    scaleUpTransport: 'xgmi',
-    scaleOutTransport: 'rdma',
-    topologyClass: 'mi355x-xgmi-rdma',
-    nodes: 2,
-  });
-  // The same cell as shardA measured with FP8 dispatch, so consumers exercise
-  // the bf16/fp8 split of an otherwise identical configuration.
-  const shardC = makeRawShard({ precision: 'fp8' });
-  const unsupportedId = 'b300-deepep-v2-deepseek-v3-normal-decode-ep16-uniform-bf16';
-  const pendingId = 'b200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-bf16';
-  return buildDataset({
-    shards: [shardA, shardB, shardC],
-    requestedCases: [
-      {
-        caseId: unsupportedId,
-        sku: 'b300',
-        disposition: 'unsupported',
-        reason: 'backend-platform-unsupported',
-        case: makeRawCase(
-          {
-            backend: 'deepep-v2',
-            ep: 16,
-            nodes: 2,
-            scaleOutTransport: 'rdma',
-            topologyClass: 'b300-nvlink-rdma',
-          },
-          unsupportedId,
-        ),
-      },
-      {
-        caseId: pendingId,
-        sku: 'b200-dgxc',
-        case: makeRawCase({ backend: 'deepep-v2', topologyClass: 'b200-nvlink-island' }, pendingId),
-      },
-    ],
-  });
-}
+export * from '@semianalysisai/inferencex-db/collectivex/test-fixture';
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
index c20e44fd0..ff1847947 100644
--- a/packages/app/src/components/collectivex/types.ts
+++ b/packages/app/src/components/collectivex/types.ts
@@ -1,124 +1,20 @@
-export type CollectiveXPhase = 'decode' | 'prefill';
-export type CollectiveXPrecision = 'bf16' | 'fp8';
-export const COLLECTIVEX_VERSIONS = [1] as const;
-export type CollectiveXVersion = (typeof COLLECTIVEX_VERSIONS)[number];
-export const COLLECTIVEX_DEFAULT_VERSION: CollectiveXVersion = COLLECTIVEX_VERSIONS.at(-1)!;
+/**
+ * UI-side CollectiveX types. The neutral contract (dataset/series/coverage
+ * shapes, version constants, reader) lives in the db package so the ingest
+ * script and this frontend share one source of truth — see
+ * `packages/db/src/collectivex/`.
+ */
 
-export const collectiveXVersionLabel = (version: CollectiveXVersion): string => `V${version}`;
-
-export function parseCollectiveXVersion(raw: string): CollectiveXVersion | null {
-  const version = Number(raw);
-  return (COLLECTIVEX_VERSIONS as readonly number[]).includes(version)
-    ? (version as CollectiveXVersion)
-    : null;
-}
-
-export type CollectiveXOperation = 'dispatch' | 'stage' | 'combine' | 'roundtrip';
-export type CollectiveXPercentile = 'p50' | 'p90' | 'p95' | 'p99';
-export type CollectiveXYAxis = 'latency' | 'tokens-per-second' | 'activation-rate';
-export type CollectiveXOutcome =
-  | 'success'
-  | 'unsupported'
-  | 'failed'
-  | 'invalid'
-  | 'diagnostic'
-  | 'pending';
-export type CollectiveXTerminalStatus = Exclude<CollectiveXOutcome, 'success'> | 'measured';
-
-export type CollectiveXPercentiles = Record<CollectiveXPercentile, number>;
+import type {
+  CollectiveXPoint,
+  CollectiveXVersion,
+} from '@semianalysisai/inferencex-db/collectivex/types';
 
-export interface CollectiveXComponent {
-  latency_us: CollectiveXPercentiles;
-  activation_data_rate_gbps_at_latency_percentile: CollectiveXPercentiles | null;
-}
-
-export interface CollectiveXPoint {
-  tokens_per_rank: number;
-  global_tokens: number;
-  components: Record<CollectiveXOperation, CollectiveXComponent | null>;
-  roundtrip_token_rate_at_latency_percentile: CollectiveXPercentiles;
-}
+export * from '@semianalysisai/inferencex-db/collectivex/types';
 
-export interface CollectiveXTopology {
-  ep_size: number;
-  nodes: number;
-  gpus_per_node: number;
-  scale_up_domain: number;
-  scale_up_transport: string;
-  scale_out_transport: string | null;
-  topology_class: string;
-}
-
-export interface CollectiveXSeries {
-  series_id: string;
-  phase: CollectiveXPhase;
-  precision: CollectiveXPrecision;
-  backend: string;
-  system: CollectiveXTopology & {
-    sku: string;
-    vendor: 'nvidia' | 'amd';
-  };
-  points: CollectiveXPoint[];
-}
-
-export interface CollectiveXCoveragePoint {
-  tokens_per_rank: number;
-  global_tokens: number;
-  terminal_status: CollectiveXTerminalStatus;
-  reason: string | null;
-}
-
-export interface CollectiveXCoverage {
-  case_id: string;
-  label: string;
-  disposition: 'runnable' | 'unsupported';
-  sku: string;
-  backend: string;
-  phase: CollectiveXPhase;
-  precision: CollectiveXPrecision;
-  topology: CollectiveXTopology;
-  points: CollectiveXCoveragePoint[];
-  outcome: CollectiveXOutcome;
-  reason: string | null;
-  detail: string | null;
-}
-
-export interface CollectiveXRun {
-  run_id: string;
-  run_attempt: number;
-  generated_at: string;
-  conclusion: string | null;
-  source_sha: string;
-  requested_cases: number;
-  terminal_cases: number;
-  measured_cases: number;
-  unsupported_cases: number;
-  failed_cases: number;
-  requested_points: number;
-  terminal_points: number;
-  measured_points: number;
-  covered_skus: string[];
-}
-
-export interface CollectiveXDataset {
-  version: number;
-  run: CollectiveXRun;
-  coverage: CollectiveXCoverage[];
-  series: CollectiveXSeries[];
-}
+export const collectiveXVersionLabel = (version: CollectiveXVersion): string => `V${version}`;
 
-export interface CollectiveXRunSummary {
-  run_id: string;
-  run_attempt: number;
-  generated_at: string;
-  conclusion: string | null;
-  covered_skus: string[];
-  requested_cases: number;
-  measured_cases: number;
-  requested_points: number;
-  terminal_points: number;
-  terminal_counts: { measured: number; unsupported: number; failed: number };
-}
+export type CollectiveXYAxis = 'latency' | 'tokens-per-second' | 'activation-rate';
 
 export interface CollectiveXChartPoint {
   seriesId: string;
diff --git a/packages/app/src/hooks/api/use-collectivex.ts b/packages/app/src/hooks/api/use-collectivex.ts
index f4165d9fe..11c27103e 100644
--- a/packages/app/src/hooks/api/use-collectivex.ts
+++ b/packages/app/src/hooks/api/use-collectivex.ts
@@ -1,12 +1,17 @@
-import { useQuery } from '@tanstack/react-query';
+import { useMutation, useQuery, useQueryClient } from '@tanstack/react-query';
 
-import { fetchCollectiveX, fetchCollectiveXRun, fetchCollectiveXRunList } from '@/lib/api';
+import {
+  deleteCollectiveXRun,
+  fetchCollectiveX,
+  fetchCollectiveXRun,
+  fetchCollectiveXRunList,
+} from '@/lib/api';
 import {
   COLLECTIVEX_DEFAULT_VERSION,
   type CollectiveXVersion,
 } from '@/components/collectivex/types';
 
-/** Latest sweep run's neutral dataset — the default page view. */
+/** Latest ingested run's neutral dataset — the default page view. */
 export function useCollectiveX(version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION) {
   return useQuery({
     queryKey: ['collectivex', version],
@@ -17,9 +22,9 @@ export function useCollectiveX(version: CollectiveXVersion = COLLECTIVEX_DEFAULT
 }
 
 /**
- * Recent sweep runs for a version, backing the run picker. `enabled` gates the
+ * Ingested runs for a version, backing the run picker. `enabled` gates the
  * fetch so the list is only pulled when the user opens the picker; refetched on
- * mount so a reopened picker reflects newly finished runs without a hard reload.
+ * mount so a reopened picker reflects newly ingested runs without a hard reload.
  */
 export function useCollectiveXRuns(
   version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
@@ -48,3 +53,22 @@ export function useCollectiveXRun(version: CollectiveXVersion, runId: string | n
     refetchOnMount: 'always',
   });
 }
+
+/**
+ * Admin deletion of an ingested run. Resolves `false` on 401 (stale token —
+ * the caller clears its stored copy); on success every CollectiveX query is
+ * invalidated so the latest view and picker drop the run immediately.
+ */
+export function useDeleteCollectiveXRun() {
+  const queryClient = useQueryClient();
+  return useMutation({
+    mutationFn: ({ runId, token }: { runId: string; token: string }) =>
+      deleteCollectiveXRun(runId, token),
+    onSuccess: (deleted) => {
+      if (!deleted) return;
+      for (const key of ['collectivex', 'collectivex-runs', 'collectivex-run']) {
+        void queryClient.invalidateQueries({ queryKey: [key] });
+      }
+    },
+  });
+}
diff --git a/packages/app/src/lib/api-cache.test.ts b/packages/app/src/lib/api-cache.test.ts
index 54e756935..f610de22d 100644
--- a/packages/app/src/lib/api-cache.test.ts
+++ b/packages/app/src/lib/api-cache.test.ts
@@ -17,7 +17,7 @@ vi.mock('./blob-cache', () => ({
   blobPurge: vi.fn(),
 }));
 
-import { cachedQuery, purgeAll, cachedJson } from './api-cache';
+import { cachedQuery, purgeAll, purgeCollectiveX, cachedJson } from './api-cache';
 import { revalidateTag, unstable_cache } from 'next/cache';
 import { blobGet, blobSet, blobPurge } from './blob-cache';
 
@@ -135,6 +135,14 @@ describe('purgeAll', () => {
     expect(mockBlobPurge).toHaveBeenCalled();
   });
 
+  it('drops the CollectiveX tag too — the blob purge removed its entries', async () => {
+    mockBlobPurge.mockResolvedValue(1);
+
+    await purgeAll();
+
+    expect(mockRevalidateTag).toHaveBeenCalledWith('collectivex', { expire: 0 });
+  });
+
   it('returns 0 when no blobs were deleted', async () => {
     mockBlobPurge.mockResolvedValue(0);
 
@@ -143,6 +151,16 @@ describe('purgeAll', () => {
   });
 });
 
+describe('purgeCollectiveX', () => {
+  it('drops only the collectivex tag — no blobs belong to that scope', () => {
+    purgeCollectiveX();
+
+    expect(mockBlobPurge).not.toHaveBeenCalled();
+    expect(mockRevalidateTag).toHaveBeenCalledWith('collectivex', { expire: 0 });
+    expect(mockRevalidateTag).not.toHaveBeenCalledWith('db', { expire: 0 });
+  });
+});
+
 describe('cachedJson', () => {
   it('sets Cache-Control with max-age=0 and 1 day s-maxage', () => {
     const res = cachedJson({ ok: true });
@@ -154,6 +172,20 @@ describe('cachedJson', () => {
     expect(res.headers.get('Vercel-Cache-Tag')).toBe('db');
   });
 
+  it('carries a custom cache tag when one is passed', () => {
+    const res = cachedJson({ ok: true }, { tag: 'collectivex' });
+    expect(res.headers.get('Vercel-Cache-Tag')).toBe('collectivex');
+    expect(res.headers.get('Cache-Control')).toBe('public, max-age=0, s-maxage=86400');
+  });
+
+  it('honors a custom Cache-Control for lazily-refreshed routes', () => {
+    const res = cachedJson(
+      { ok: true },
+      { tag: 'collectivex', cacheControl: 'public, max-age=0, s-maxage=60' },
+    );
+    expect(res.headers.get('Cache-Control')).toBe('public, max-age=0, s-maxage=60');
+  });
+
   it('sets Content-Type to application/json', () => {
     const res = cachedJson({ ok: true });
     expect(res.headers.get('Content-Type')).toBe('application/json');
diff --git a/packages/app/src/lib/api-cache.ts b/packages/app/src/lib/api-cache.ts
index b2584130d..785936ad9 100644
--- a/packages/app/src/lib/api-cache.ts
+++ b/packages/app/src/lib/api-cache.ts
@@ -4,9 +4,28 @@ import { JSON_MODE } from '@semianalysisai/inferencex-db/connection';
 
 import { blobGet, blobPurge, blobSet } from './blob-cache';
 
+/**
+ * CollectiveX data lives in its own database and gets its own cache scope:
+ * every CollectiveX response carries this CDN/unstable_cache tag (via
+ * `cachedJson(..., { tag })`), so run deletion can purge the CollectiveX
+ * cache without dropping the main dashboard's. CollectiveX routes read their
+ * DB directly — no blob layer, so the tag is the entire scope.
+ */
+export const COLLECTIVEX_CACHE_SCOPE = 'collectivex';
+
+/**
+ * Short CDN window shared by the CollectiveX latest/runs routes: new sweep
+ * runs are discovered lazily at the origin, so freshness is bounded by this
+ * TTL rather than by an ingest-time purge.
+ */
+export const COLLECTIVEX_CACHE_CONTROL =
+  'public, max-age=0, s-maxage=60, stale-while-revalidate=300';
+
 interface CachedQueryOptions {
   /** Use blob storage directly, skipping unstable_cache. Use for payloads known to exceed 2MB. */
   blobOnly?: boolean;
+  /** Cache tag for the unstable_cache path (default 'db'). */
+  tag?: string;
 }
 
 /**
@@ -35,7 +54,7 @@ export function cachedQuery<T, Args extends unknown[]>(
     };
   }
 
-  const nextCached = unstable_cache(fn, [keyPrefix], { tags: ['db'] });
+  const nextCached = unstable_cache(fn, [keyPrefix], { tags: [options?.tag ?? 'db'] });
   return (...args: Args): Promise<T> => nextCached(...args);
 }
 
@@ -43,17 +62,34 @@ export function cachedQuery<T, Args extends unknown[]>(
 export async function purgeAll(): Promise<number> {
   const deleted = await blobPurge();
   revalidateTag('db', { expire: 0 });
+  // CollectiveX responses are cached only under their own tag (no blobs), so
+  // a full purge must drop that tag explicitly — this line is the sole
+  // mechanism that clears CollectiveX from the CDN.
+  purgeCollectiveX();
   return deleted;
 }
 
-/** 1 day. Purged on demand via revalidateTag('db'). */
-const CDN_HEADERS = {
-  'Cache-Control': 'public, max-age=0, s-maxage=86400',
-  'Vercel-Cache-Tag': 'db',
-};
+/**
+ * Purge only the CollectiveX cache scope. CollectiveX routes read straight
+ * from their own DB (no blob layer), so this is just the CDN/unstable_cache
+ * tag.
+ */
+export function purgeCollectiveX(): void {
+  revalidateTag(COLLECTIVEX_CACHE_SCOPE, { expire: 0 });
+}
+
+/** 1 day unless overridden. Purged on demand via revalidateTag with the matching tag. */
+const cdnHeaders = (tag: string, cacheControl?: string) => ({
+  'Cache-Control': cacheControl ?? 'public, max-age=0, s-maxage=86400',
+  'Vercel-Cache-Tag': tag,
+  'X-Content-Type-Options': 'nosniff',
+});
 
 /** CDN-cached streamed + gzip-compressed JSON response — supports up to 20 MB on Vercel CDN. */
-export function cachedJson<T>(data: T): Response {
+export function cachedJson<T>(
+  data: T,
+  options?: { tag?: string; cacheControl?: string },
+): Response {
   const bytes = new TextEncoder().encode(JSON.stringify(data));
   const CHUNK = 64 * 1024;
   const raw = new ReadableStream({
@@ -69,7 +105,7 @@ export function cachedJson<T>(data: T): Response {
     headers: {
       'Content-Type': 'application/json',
       'Content-Encoding': 'gzip',
-      ...CDN_HEADERS,
+      ...cdnHeaders(options?.tag ?? 'db', options?.cacheControl),
     },
   });
 }
diff --git a/packages/app/src/lib/api.test.ts b/packages/app/src/lib/api.test.ts
index e9743da73..fc9e0552d 100644
--- a/packages/app/src/lib/api.test.ts
+++ b/packages/app/src/lib/api.test.ts
@@ -4,14 +4,15 @@ import {
   fetchBenchmarks,
   fetchWorkflowInfo,
   fetchAvailability,
+  deleteCollectiveXRun,
   fetchCollectiveX,
   fetchCollectiveXRun,
   fetchCollectiveXRunList,
   fetchReliability,
   fetchEvaluations,
 } from './api';
+import { buildRunSummary } from '@semianalysisai/inferencex-db/collectivex/reader';
 import { makeCollectiveXDataset } from '@/components/collectivex/test-fixture';
-import { buildRunSummary } from '@/components/collectivex/reader';
 
 const mockFetch = vi.fn();
 vi.stubGlobal('fetch', mockFetch);
@@ -132,7 +133,7 @@ describe('fetchEvaluations', () => {
   });
 });
 
-describe('CollectiveX reader delegation', () => {
+describe('CollectiveX API', () => {
   const dataset = makeCollectiveXDataset();
 
   function mockJson(payload: unknown) {
@@ -142,27 +143,27 @@ describe('CollectiveX reader delegation', () => {
     });
   }
 
-  it('fetches the latest run dataset without caching', async () => {
+  it('fetches the latest run dataset', async () => {
     mockJson(dataset);
 
     const result = await fetchCollectiveX();
 
     expect(mockFetch).toHaveBeenCalledWith(
-      '/collectivex-data/1/latest.json',
-      expect.objectContaining({ cache: 'no-store', credentials: 'same-origin' }),
+      '/api/v1/collectivex/latest?version=1',
+      expect.objectContaining({}),
     );
     expect(result.version).toBe(1);
     expect(result.run.run_id).toBe(dataset.run.run_id);
   });
 
-  it('fetches a specific run by id without caching a stale rerun', async () => {
+  it('fetches a specific run by id', async () => {
     mockJson(dataset);
 
     const result = await fetchCollectiveXRun(1, dataset.run.run_id);
 
     expect(mockFetch).toHaveBeenCalledWith(
-      `/collectivex-data/1/runs/${dataset.run.run_id}.json`,
-      expect.objectContaining({ cache: 'no-store', credentials: 'same-origin' }),
+      `/api/v1/collectivex/runs/${dataset.run.run_id}?version=1`,
+      expect.objectContaining({}),
     );
     expect(result.run.run_id).toBe(dataset.run.run_id);
   });
@@ -173,10 +174,31 @@ describe('CollectiveX reader delegation', () => {
     const runs = await fetchCollectiveXRunList(1);
 
     expect(mockFetch).toHaveBeenCalledWith(
-      '/collectivex-data/1/runs.json',
-      expect.objectContaining({ cache: 'no-store', credentials: 'same-origin' }),
+      '/api/v1/collectivex/runs?version=1',
+      expect.objectContaining({}),
     );
     expect(runs).toHaveLength(1);
     expect(runs[0].run_id).toBe(dataset.run.run_id);
   });
+
+  it('sends the bearer token on delete and reports success', async () => {
+    mockFetch.mockResolvedValueOnce({ ok: true, status: 200 });
+
+    await expect(deleteCollectiveXRun('160', 'secret-token')).resolves.toBe(true);
+
+    expect(mockFetch).toHaveBeenCalledWith('/api/v1/collectivex/runs/160', {
+      method: 'DELETE',
+      headers: { Authorization: 'Bearer secret-token' },
+    });
+  });
+
+  it('resolves false on 401 so callers can clear a stale token', async () => {
+    mockFetch.mockResolvedValueOnce({ ok: false, status: 401 });
+    await expect(deleteCollectiveXRun('160', 'stale')).resolves.toBe(false);
+  });
+
+  it('throws on non-auth delete failures', async () => {
+    mockFetch.mockResolvedValueOnce({ ok: false, status: 500 });
+    await expect(deleteCollectiveXRun('160', 'secret-token')).rejects.toThrow(/500/);
+  });
 });
diff --git a/packages/app/src/lib/api.ts b/packages/app/src/lib/api.ts
index 9baf54158..489567321 100644
--- a/packages/app/src/lib/api.ts
+++ b/packages/app/src/lib/api.ts
@@ -306,42 +306,51 @@ export function fetchSubmissions(signal?: AbortSignal) {
   return fetchJson<SubmissionsResponse>('/api/v1/submissions', signal);
 }
 
-/** Latest sweep run's neutral view dataset (default page view). */
+/** Latest ingested sweep run's neutral view dataset (default page view). */
 export function fetchCollectiveX(
   signal?: AbortSignal,
   version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
 ) {
-  return fetchCollectiveXJson<CollectiveXDataset>(`${version}/latest.json`, signal);
+  return fetchJson<CollectiveXDataset>(`/api/v1/collectivex/latest?version=${version}`, signal);
 }
 
-/** Recent sweep runs for the run picker, keyed by run_id + attempt. */
+/** Ingested sweep runs for the run picker, keyed by run_id + attempt. */
 export function fetchCollectiveXRunList(
   version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
   signal?: AbortSignal,
 ) {
-  return fetchCollectiveXJson<{ runs: CollectiveXRunSummary[] }>(
-    `${version}/runs.json`,
+  return fetchJson<{ runs: CollectiveXRunSummary[] }>(
+    `/api/v1/collectivex/runs?version=${version}`,
     signal,
   ).then(({ runs }) => runs);
 }
 
-/** Resolve a specific sweep run's neutral view dataset by run_id. */
+/** Resolve a specific ingested sweep run's neutral view dataset by run_id. */
 export function fetchCollectiveXRun(
   version: CollectiveXVersion,
   runId: string,
   signal?: AbortSignal,
 ) {
-  return fetchCollectiveXJson<CollectiveXDataset>(`${version}/runs/${runId}.json`, signal);
+  return fetchJson<CollectiveXDataset>(
+    `/api/v1/collectivex/runs/${runId}?version=${version}`,
+    signal,
+  );
 }
 
-async function fetchCollectiveXJson<T>(path: string, signal?: AbortSignal): Promise<T> {
-  const response = await fetch(`/collectivex-data/${path}`, {
-    cache: 'no-store',
-    credentials: 'same-origin',
-    signal,
+/**
+ * Admin deletion of an ingested run. Requires the dedicated CollectiveX admin
+ * Bearer secret (COLLECTIVEX_ADMIN_SECRET — deliberately not the CI-held
+ * INVALIDATE_SECRET); resolves false on 401 so callers can clear a stale
+ * stored token, throws on other failures.
+ */
+export async function deleteCollectiveXRun(runId: string, token: string): Promise<boolean> {
+  const response = await fetch(`/api/v1/collectivex/runs/${runId}`, {
+    method: 'DELETE',
+    headers: { Authorization: `Bearer ${token}` },
   });
-  if (!response.ok) throw new Error(`CollectiveX request failed (${response.status}).`);
-  return response.json();
+  if (response.status === 401) return false;
+  if (!response.ok) throw new Error(`CollectiveX delete failed (${response.status}).`);
+  return true;
 }
 
 export interface FeedbackListRow {
diff --git a/packages/app/src/lib/collectivex-github.test.ts b/packages/app/src/lib/collectivex-github.test.ts
deleted file mode 100644
index bd048dac0..000000000
--- a/packages/app/src/lib/collectivex-github.test.ts
+++ /dev/null
@@ -1,323 +0,0 @@
-import AdmZip from 'adm-zip';
-import { afterAll, beforeEach, describe, expect, it, vi } from 'vitest';
-
-import { makeRawMatrix, makeRawShard } from '@/components/collectivex/test-fixture';
-
-import {
-  clearCollectiveXSweepCache,
-  collectiveXSweepErrorCode,
-  listCollectiveXSweepRuns,
-  loadCollectiveXSweepRun,
-} from './collectivex-github';
-
-const mockFetch = vi.fn();
-vi.stubGlobal('fetch', mockFetch);
-
-// Two current matrix shards: NVIDIA scale-up EP8 + AMD scale-out EP16.
-const shardA = makeRawShard({ backend: 'deepep-v2', ep: 8 });
-const shardB = makeRawShard({
-  sku: 'mi355x',
-  backend: 'mori',
-  implName: 'mori',
-  vendor: 'amd',
-  ep: 16,
-  scaleUpTransport: 'xgmi',
-  scaleOutTransport: 'rdma',
-  topologyClass: 'mi355x-xgmi-rdma',
-  nodes: 2,
-  gpusPerNode: 8,
-  scaleUpDomain: 8,
-});
-
-// The neutral matrix declares every requested case; here it mirrors the two shards.
-function requestedOf(shard: Record<string, unknown>) {
-  const identity = shard.identity as Record<string, unknown>;
-  const factors = identity.case_factors as Record<string, unknown>;
-  return {
-    caseId: identity.case_id as string,
-    sku: factors.sku as string,
-    disposition: 'runnable' as const,
-    case: factors.case as Record<string, unknown>,
-  };
-}
-
-const matrix = makeRawMatrix([requestedOf(shardA), requestedOf(shardB)]);
-
-function zipDocs(...docs: unknown[]): ArrayBuffer {
-  const zip = new AdmZip();
-  docs.forEach((doc, index) => zip.addFile(`doc-${index}.json`, Buffer.from(JSON.stringify(doc))));
-  // Copy into a fresh ArrayBuffer so Response accepts the bytes as a plain BodyInit.
-  const bytes = zip.toBuffer();
-  const archive = new ArrayBuffer(bytes.byteLength);
-  new Uint8Array(archive).set(bytes);
-  return archive;
-}
-
-const matrixZip = zipDocs(matrix);
-const shardZip = zipDocs(shardA, shardB);
-
-// A second-generation matrix (numeric version 2): the same structural shape but a
-// different content `version`. Requesting version 1 must skip it.
-const matrixV2 = makeRawMatrix([requestedOf(shardA), requestedOf(shardB)], 2);
-const matrixZipV2 = zipDocs(matrixV2);
-
-function runObject(overrides: Record<string, unknown> = {}) {
-  return {
-    id: 160,
-    name: 'CollectiveX Sweep',
-    path: '.github/workflows/collectivex-sweep.yml',
-    head_branch: 'collectivex',
-    head_sha: 'a'.repeat(40),
-    status: 'completed',
-    conclusion: 'success',
-    run_attempt: 1,
-    updated_at: '2026-07-08T12:20:00Z',
-    ...overrides,
-  };
-}
-
-function artifactsBody(runId = 160, runAttempt = 1) {
-  return {
-    total_count: 2,
-    artifacts: [
-      {
-        id: 1,
-        name: `cxsweep-matrix-${runId}`,
-        archive_download_url: 'https://example.test/matrix.zip',
-        expired: false,
-      },
-      {
-        id: 2,
-        name: `cxshard-cases-${runId}-${runAttempt}`,
-        archive_download_url: 'https://example.test/shards.zip',
-        expired: false,
-      },
-    ],
-  };
-}
-
-// Queue the fetch sequence a run assembly performs: matrix download, then result downloads.
-function installArtifactDownloads() {
-  mockFetch
-    .mockResolvedValueOnce(new Response(matrixZip))
-    .mockResolvedValueOnce(new Response(shardZip));
-}
-
-beforeEach(() => {
-  clearCollectiveXSweepCache();
-  mockFetch.mockReset();
-  process.env.GITHUB_TOKEN = 'test-token';
-});
-
-afterAll(() => {
-  delete process.env.GITHUB_TOKEN;
-  vi.unstubAllGlobals();
-});
-
-describe('CollectiveX GitHub sweep loader', () => {
-  it('discovers the latest run, assembles its neutral artifacts, and caches it', async () => {
-    mockFetch
-      .mockResolvedValueOnce(Response.json({ total_count: 1, workflow_runs: [runObject()] }))
-      .mockResolvedValueOnce(Response.json(artifactsBody()));
-    installArtifactDownloads();
-
-    const first = await loadCollectiveXSweepRun(1);
-    const second = await loadCollectiveXSweepRun(1);
-
-    expect(first.version).toBe(1);
-    expect(first.run.run_id).toBe('160');
-    expect(first.run.conclusion).toBe('success');
-    expect(first.series).toHaveLength(2);
-    expect(second).toBe(first);
-    expect(mockFetch).toHaveBeenCalledTimes(4);
-    expect(mockFetch.mock.calls[0][0]).toContain('/actions/workflows/collectivex-sweep.yml/runs?');
-  });
-
-  it('resolves a specific run by id', async () => {
-    mockFetch
-      .mockResolvedValueOnce(Response.json(runObject()))
-      .mockResolvedValueOnce(Response.json(artifactsBody()));
-    installArtifactDownloads();
-
-    const dataset = await loadCollectiveXSweepRun(1, '160');
-
-    expect(dataset.run.run_id).toBe('160');
-    expect(dataset.series).toHaveLength(2);
-    expect(mockFetch.mock.calls[0][0]).toContain('/actions/runs/160');
-  });
-
-  it('uses the newest artifact per shard when only failed jobs are rerun', async () => {
-    const retriedShard = makeRawShard({
-      sku: 'mi355x',
-      backend: 'mori',
-      implName: 'mori',
-      vendor: 'amd',
-      ep: 16,
-      scaleUpTransport: 'xgmi',
-      scaleOutTransport: 'rdma',
-      topologyClass: 'mi355x-xgmi-rdma',
-      nodes: 2,
-      status: 'invalid',
-      reasons: ['retry-failed'],
-    });
-    mockFetch
-      .mockResolvedValueOnce(Response.json(runObject({ run_attempt: 2 })))
-      .mockResolvedValueOnce(
-        Response.json({
-          total_count: 4,
-          artifacts: [
-            {
-              id: 1,
-              name: 'cxsweep-matrix-160',
-              archive_download_url: 'https://example.test/matrix.zip',
-            },
-            {
-              id: 2,
-              name: 'cxshard-a-160-1',
-              archive_download_url: 'https://example.test/a1.zip',
-            },
-            {
-              id: 3,
-              name: 'cxshard-b-160-1',
-              archive_download_url: 'https://example.test/b1.zip',
-            },
-            {
-              id: 4,
-              name: 'cxshard-b-160-2',
-              archive_download_url: 'https://example.test/b2.zip',
-            },
-          ],
-        }),
-      )
-      .mockResolvedValueOnce(new Response(matrixZip))
-      .mockResolvedValueOnce(new Response(zipDocs(shardA)))
-      .mockResolvedValueOnce(new Response(zipDocs(retriedShard)));
-
-    const dataset = await loadCollectiveXSweepRun(1, '160');
-
-    expect(dataset.series.map((series) => series.backend)).toEqual(['deepep-v2']);
-    expect(dataset.coverage.find((item) => item.backend === 'mori')).toMatchObject({
-      outcome: 'invalid',
-      reason: 'retry-failed',
-    });
-    expect(mockFetch.mock.calls.some(([url]) => String(url).includes('/b1.zip'))).toBe(false);
-  });
-
-  it('lists recent runs as run summaries', async () => {
-    mockFetch
-      .mockResolvedValueOnce(Response.json({ total_count: 1, workflow_runs: [runObject()] }))
-      .mockResolvedValueOnce(Response.json(artifactsBody()));
-    installArtifactDownloads();
-
-    const summaries = await listCollectiveXSweepRuns(1);
-
-    expect(summaries).toHaveLength(1);
-    expect(summaries[0].run_id).toBe('160');
-    expect(summaries[0].terminal_counts.measured).toBeGreaterThan(0);
-  });
-
-  it('refreshes an expired run cache entry when listing a rerun', async () => {
-    vi.useFakeTimers();
-    try {
-      vi.setSystemTime(new Date('2026-07-08T12:20:00Z'));
-      mockFetch
-        .mockResolvedValueOnce(Response.json(runObject()))
-        .mockResolvedValueOnce(Response.json(artifactsBody()));
-      installArtifactDownloads();
-      await loadCollectiveXSweepRun(1, '160');
-
-      vi.setSystemTime(new Date('2026-07-08T12:21:01Z'));
-      mockFetch
-        .mockResolvedValueOnce(
-          Response.json({
-            total_count: 1,
-            workflow_runs: [runObject({ run_attempt: 2 })],
-          }),
-        )
-        .mockResolvedValueOnce(Response.json(artifactsBody(160, 2)));
-      installArtifactDownloads();
-
-      const summaries = await listCollectiveXSweepRuns(1);
-      expect(summaries[0].run_attempt).toBe(2);
-    } finally {
-      vi.useRealTimers();
-    }
-  });
-
-  it('fails as unavailable without a server-side GitHub token', async () => {
-    delete process.env.GITHUB_TOKEN;
-
-    await expect(loadCollectiveXSweepRun(1)).rejects.toSatisfy(
-      (error: unknown) => collectiveXSweepErrorCode(error) === 'unavailable',
-    );
-    expect(mockFetch).not.toHaveBeenCalled();
-  });
-
-  it('reports not-found when no sweep run carries artifacts', async () => {
-    mockFetch.mockResolvedValueOnce(Response.json({ total_count: 0, workflow_runs: [] }));
-
-    await expect(loadCollectiveXSweepRun(1)).rejects.toSatisfy(
-      (error: unknown) => collectiveXSweepErrorCode(error) === 'not-found',
-    );
-  });
-
-  it('rejects a run whose matrix artifact carries no matrix document', async () => {
-    mockFetch
-      .mockResolvedValueOnce(Response.json({ total_count: 1, workflow_runs: [runObject()] }))
-      .mockResolvedValueOnce(
-        Response.json({
-          total_count: 1,
-          artifacts: [
-            {
-              id: 1,
-              name: 'cxsweep-matrix-160',
-              archive_download_url: 'https://example.test/matrix.zip',
-              expired: false,
-            },
-          ],
-        }),
-      )
-      .mockResolvedValueOnce(new Response(zipDocs(shardA)));
-
-    await expect(loadCollectiveXSweepRun(1)).rejects.toSatisfy(
-      (error: unknown) => collectiveXSweepErrorCode(error) === 'invalid',
-    );
-  });
-
-  it('skips a newer run tagged for another version and resolves the newest match', async () => {
-    // Run 161 is newest but carries a version-2 matrix; the version-1 request
-    // must fall through to run 160 without erroring.
-    mockFetch
-      .mockResolvedValueOnce(
-        Response.json({
-          total_count: 2,
-          workflow_runs: [runObject({ id: 161 }), runObject({ id: 160 })],
-        }),
-      )
-      .mockResolvedValueOnce(Response.json(artifactsBody(161)))
-      .mockResolvedValueOnce(new Response(matrixZipV2))
-      .mockResolvedValueOnce(Response.json(artifactsBody()))
-      .mockResolvedValueOnce(new Response(matrixZip))
-      .mockResolvedValueOnce(new Response(shardZip));
-
-    const dataset = await loadCollectiveXSweepRun(1);
-
-    expect(dataset.run.run_id).toBe('160');
-    expect(dataset.series).toHaveLength(2);
-    // The mismatched run costs only its matrix peek (no result download).
-    expect(mockFetch).toHaveBeenCalledTimes(6);
-  });
-
-  it('reports not-found when a run resolved by id is tagged for another version', async () => {
-    mockFetch
-      .mockResolvedValueOnce(Response.json(runObject()))
-      .mockResolvedValueOnce(Response.json(artifactsBody()))
-      .mockResolvedValueOnce(new Response(matrixZipV2));
-
-    await expect(loadCollectiveXSweepRun(1, '160')).rejects.toSatisfy(
-      (error: unknown) => collectiveXSweepErrorCode(error) === 'not-found',
-    );
-    // The version peek stops assembly before any result artifact is fetched.
-    expect(mockFetch).toHaveBeenCalledTimes(3);
-  });
-});
diff --git a/packages/app/src/lib/collectivex-lazy-ingest.test.ts b/packages/app/src/lib/collectivex-lazy-ingest.test.ts
new file mode 100644
index 000000000..f69aa803c
--- /dev/null
+++ b/packages/app/src/lib/collectivex-lazy-ingest.test.ts
@@ -0,0 +1,358 @@
+import AdmZip from 'adm-zip';
+import { afterAll, beforeEach, describe, expect, it, vi } from 'vitest';
+
+import { makeRawMatrix, makeRawShard } from '@/components/collectivex/test-fixture';
+
+const { mockGetStates, mockInsert, mockRefresh, mockGetDb, mockGetWriteDb } = vi.hoisted(() => ({
+  mockGetStates: vi.fn(),
+  mockInsert: vi.fn(),
+  mockRefresh: vi.fn(),
+  mockGetDb: vi.fn(() => 'mock-sql'),
+  mockGetWriteDb: vi.fn(() => 'mock-write-sql'),
+}));
+
+vi.mock('@semianalysisai/inferencex-db/connection', () => ({
+  getCollectiveXDb: mockGetDb,
+  getCollectiveXWriteDb: mockGetWriteDb,
+}));
+
+vi.mock('@semianalysisai/inferencex-db/queries/collectivex', () => ({
+  getCollectiveXRunStates: mockGetStates,
+  insertCollectiveXRun: mockInsert,
+  refreshCollectiveXRunAttempt: mockRefresh,
+}));
+
+import {
+  collectiveXSweepErrorCode,
+  ensureCollectiveXRun,
+  ensureCollectiveXRunsList,
+  ensureLatestCollectiveXRun,
+} from './collectivex-lazy-ingest';
+
+const mockFetch = vi.fn();
+vi.stubGlobal('fetch', mockFetch);
+
+// Two current matrix shards: NVIDIA scale-up EP8 + AMD scale-out EP16.
+const shardA = makeRawShard({ backend: 'deepep-v2', ep: 8 });
+const shardB = makeRawShard({
+  sku: 'mi355x',
+  backend: 'mori',
+  implName: 'mori',
+  vendor: 'amd',
+  ep: 16,
+  scaleUpTransport: 'xgmi',
+  scaleOutTransport: 'rdma',
+  topologyClass: 'mi355x-xgmi-rdma',
+  nodes: 2,
+  gpusPerNode: 8,
+  scaleUpDomain: 8,
+});
+
+function requestedOf(shard: Record<string, unknown>) {
+  const identity = shard.identity as Record<string, unknown>;
+  const factors = identity.case_factors as Record<string, unknown>;
+  return {
+    caseId: identity.case_id as string,
+    sku: factors.sku as string,
+    disposition: 'runnable' as const,
+    case: factors.case as Record<string, unknown>,
+  };
+}
+
+const matrix = makeRawMatrix([requestedOf(shardA), requestedOf(shardB)]);
+const matrixV2 = makeRawMatrix([requestedOf(shardA), requestedOf(shardB)], 2);
+
+function zipDocs(...docs: unknown[]): ArrayBuffer {
+  const zip = new AdmZip();
+  docs.forEach((doc, index) => zip.addFile(`doc-${index}.json`, Buffer.from(JSON.stringify(doc))));
+  const bytes = zip.toBuffer();
+  const archive = new ArrayBuffer(bytes.byteLength);
+  new Uint8Array(archive).set(bytes);
+  return archive;
+}
+
+const matrixZip = zipDocs(matrix);
+const matrixZipV2 = zipDocs(matrixV2);
+const shardZip = zipDocs(shardA, shardB);
+
+function runObject(overrides: Record<string, unknown> = {}) {
+  return {
+    id: 160,
+    name: 'CollectiveX Sweep',
+    path: '.github/workflows/collectivex-sweep.yml',
+    // Deliberately a feature branch: lazy ingest accepts runs from ANY branch.
+    head_branch: 'collectivex-fp8-precision',
+    head_sha: 'a'.repeat(40),
+    status: 'completed',
+    conclusion: 'success',
+    run_attempt: 1,
+    updated_at: '2026-07-08T12:20:00Z',
+    ...overrides,
+  };
+}
+
+function artifactsBody(runId = 160, runAttempt = 1) {
+  return {
+    total_count: 2,
+    artifacts: [
+      {
+        id: 1,
+        name: `cxsweep-matrix-${runId}`,
+        archive_download_url: 'https://example.test/matrix.zip',
+        expired: false,
+      },
+      {
+        id: 2,
+        name: `cxshard-cases-${runId}-${runAttempt}`,
+        archive_download_url: 'https://example.test/shards.zip',
+        expired: false,
+      },
+    ],
+  };
+}
+
+beforeEach(() => {
+  mockFetch.mockReset();
+  mockGetStates.mockReset().mockResolvedValue({});
+  mockInsert.mockReset().mockResolvedValue(true);
+  mockRefresh.mockReset().mockResolvedValue(true);
+  process.env.GITHUB_TOKEN = 'test-token';
+});
+
+afterAll(() => {
+  delete process.env.GITHUB_TOKEN;
+  vi.unstubAllGlobals();
+});
+
+describe('ensureLatestCollectiveXRun', () => {
+  it('discovers the newest absent run and persists its raw documents', async () => {
+    mockFetch
+      .mockResolvedValueOnce(Response.json({ total_count: 1, workflow_runs: [runObject()] }))
+      .mockResolvedValueOnce(Response.json(artifactsBody()))
+      .mockResolvedValueOnce(new Response(matrixZip))
+      .mockResolvedValueOnce(new Response(shardZip));
+
+    await ensureLatestCollectiveXRun(1);
+
+    expect(mockInsert).toHaveBeenCalledTimes(1);
+    const [sql, run, docs] = mockInsert.mock.calls[0];
+    expect(sql).toBe('mock-write-sql');
+    expect(run).toMatchObject({
+      run_id: '160',
+      run_attempt: 1,
+      version: 1,
+      source_branch: 'collectivex-fp8-precision',
+      conclusion: 'success',
+      matrix,
+    });
+    expect(run.summary).toMatchObject({ run_id: '160', measured_cases: 2 });
+    expect(docs).toEqual([shardA, shardB]);
+  });
+
+  it('stops without artifact downloads when the newest matching run is live', async () => {
+    mockGetStates.mockResolvedValue({ '160': { state: 'live', version: 1, run_attempt: 1 } });
+    mockFetch.mockResolvedValueOnce(
+      Response.json({ total_count: 1, workflow_runs: [runObject()] }),
+    );
+
+    await ensureLatestCollectiveXRun(1);
+
+    expect(mockInsert).not.toHaveBeenCalled();
+    expect(mockFetch).toHaveBeenCalledTimes(1);
+  });
+
+  it('never re-ingests a tombstoned run — the next candidate wins', async () => {
+    mockGetStates.mockImplementation((_sql: unknown, ids: string[]) =>
+      Promise.resolve(
+        ids[0] === '161' ? { '161': { state: 'deleted', version: 1, run_attempt: 1 } } : {},
+      ),
+    );
+    mockFetch
+      .mockResolvedValueOnce(
+        Response.json({
+          total_count: 2,
+          workflow_runs: [runObject({ id: 161 }), runObject({ id: 160 })],
+        }),
+      )
+      .mockResolvedValueOnce(Response.json(artifactsBody()))
+      .mockResolvedValueOnce(new Response(matrixZip))
+      .mockResolvedValueOnce(new Response(shardZip));
+
+    await ensureLatestCollectiveXRun(1);
+
+    expect(mockInsert).toHaveBeenCalledTimes(1);
+    expect(mockInsert.mock.calls[0][1].run_id).toBe('160');
+  });
+
+  it('skips runs tagged for another version', async () => {
+    mockFetch
+      .mockResolvedValueOnce(
+        Response.json({
+          total_count: 2,
+          workflow_runs: [runObject({ id: 161 }), runObject({ id: 160 })],
+        }),
+      )
+      // Run 161 carries a v2 matrix — requesting v1 must move on.
+      .mockResolvedValueOnce(Response.json(artifactsBody(161)))
+      .mockResolvedValueOnce(new Response(matrixZipV2))
+      .mockResolvedValueOnce(Response.json(artifactsBody()))
+      .mockResolvedValueOnce(new Response(matrixZip))
+      .mockResolvedValueOnce(new Response(shardZip));
+
+    await ensureLatestCollectiveXRun(1);
+
+    expect(mockInsert).toHaveBeenCalledTimes(1);
+    expect(mockInsert.mock.calls[0][1].version).toBe(1);
+    expect(mockInsert.mock.calls[0][1].run_id).toBe('160');
+  });
+
+  it('refreshes a live run when GitHub reports a newer attempt', async () => {
+    mockGetStates.mockResolvedValue({ '160': { state: 'live', version: 1, run_attempt: 1 } });
+    mockFetch
+      .mockResolvedValueOnce(
+        Response.json({ total_count: 1, workflow_runs: [runObject({ run_attempt: 2 })] }),
+      )
+      .mockResolvedValueOnce(Response.json(artifactsBody(160, 2)))
+      .mockResolvedValueOnce(new Response(matrixZip))
+      .mockResolvedValueOnce(new Response(shardZip));
+
+    await ensureLatestCollectiveXRun(1);
+
+    expect(mockInsert).not.toHaveBeenCalled();
+    expect(mockRefresh).toHaveBeenCalledTimes(1);
+    expect(mockRefresh.mock.calls[0][1]).toMatchObject({ run_id: '160', run_attempt: 2 });
+  });
+
+  it('downloads only the highest usable attempt per shard', async () => {
+    const artifacts = {
+      total_count: 3,
+      artifacts: [
+        {
+          id: 1,
+          name: 'cxsweep-matrix-160',
+          archive_download_url: 'https://example.test/matrix.zip',
+          expired: false,
+        },
+        {
+          id: 2,
+          name: 'cxshard-cases-160-1',
+          archive_download_url: 'https://example.test/shard-attempt1.zip',
+          expired: false,
+        },
+        {
+          id: 3,
+          name: 'cxshard-cases-160-2',
+          archive_download_url: 'https://example.test/shard-attempt2.zip',
+          expired: false,
+        },
+      ],
+    };
+    mockFetch
+      .mockResolvedValueOnce(
+        Response.json({ total_count: 1, workflow_runs: [runObject({ run_attempt: 2 })] }),
+      )
+      .mockResolvedValueOnce(Response.json(artifacts))
+      .mockResolvedValueOnce(new Response(matrixZip))
+      .mockResolvedValueOnce(new Response(shardZip));
+
+    await ensureLatestCollectiveXRun(1);
+
+    expect(mockInsert).toHaveBeenCalledTimes(1);
+    // 4 fetches total: runs, artifacts, matrix, ONE shard — the attempt-1
+    // archive is superseded and never downloaded.
+    expect(mockFetch).toHaveBeenCalledTimes(4);
+    expect(mockFetch.mock.calls[3][0]).toBe('https://example.test/shard-attempt2.zip');
+  });
+
+  it('classifies a matrix artifact without a matrix document as invalid', async () => {
+    mockFetch
+      .mockResolvedValueOnce(Response.json({ total_count: 1, workflow_runs: [runObject()] }))
+      .mockResolvedValueOnce(Response.json(artifactsBody()))
+      .mockResolvedValueOnce(new Response(zipDocs({ record_type: 'samples' })));
+
+    const caught = await ensureLatestCollectiveXRun(1).catch((error: unknown) => error);
+    expect(collectiveXSweepErrorCode(caught)).toBe('invalid');
+    expect(mockInsert).not.toHaveBeenCalled();
+  });
+
+  it('reports GitHub outages as unavailable', async () => {
+    mockFetch.mockResolvedValue(new Response(null, { status: 500 }));
+    const caught = await ensureLatestCollectiveXRun(1).catch((error: unknown) => error);
+    expect(collectiveXSweepErrorCode(caught)).toBe('unavailable');
+  });
+
+  it('reports a missing GITHUB_TOKEN as unavailable', async () => {
+    delete process.env.GITHUB_TOKEN;
+    const caught = await ensureLatestCollectiveXRun(1).catch((error: unknown) => error);
+    expect(collectiveXSweepErrorCode(caught)).toBe('unavailable');
+  });
+});
+
+describe('ensureCollectiveXRunsList', () => {
+  it('backfills absent recent runs and counts live ones toward the cap', async () => {
+    mockGetStates.mockImplementation((_sql: unknown, ids: string[]) =>
+      Promise.resolve(
+        ids[0] === '161' ? { '161': { state: 'live', version: 1, run_attempt: 1 } } : {},
+      ),
+    );
+    mockFetch
+      .mockResolvedValueOnce(
+        Response.json({
+          total_count: 2,
+          workflow_runs: [runObject({ id: 161 }), runObject({ id: 160 })],
+        }),
+      )
+      .mockResolvedValueOnce(Response.json(artifactsBody()))
+      .mockResolvedValueOnce(new Response(matrixZip))
+      .mockResolvedValueOnce(new Response(shardZip));
+
+    await ensureCollectiveXRunsList(1);
+
+    expect(mockInsert).toHaveBeenCalledTimes(1);
+    expect(mockInsert.mock.calls[0][1].run_id).toBe('160');
+  });
+});
+
+describe('ensureCollectiveXRun', () => {
+  it('treats tombstoned runs as not found', async () => {
+    mockGetStates.mockResolvedValue({ '160': { state: 'deleted', version: 1, run_attempt: 1 } });
+    const caught = await ensureCollectiveXRun(1, '160').catch((error: unknown) => error);
+    expect(collectiveXSweepErrorCode(caught)).toBe('not-found');
+    expect(mockFetch).not.toHaveBeenCalled();
+  });
+
+  it('returns immediately for live matching runs', async () => {
+    mockGetStates.mockResolvedValue({ '160': { state: 'live', version: 1, run_attempt: 1 } });
+    await ensureCollectiveXRun(1, '160');
+    expect(mockFetch).not.toHaveBeenCalled();
+    expect(mockInsert).not.toHaveBeenCalled();
+  });
+
+  it('persists an absent run fetched by id', async () => {
+    mockFetch
+      .mockResolvedValueOnce(Response.json(runObject()))
+      .mockResolvedValueOnce(Response.json(artifactsBody()))
+      .mockResolvedValueOnce(new Response(matrixZip))
+      .mockResolvedValueOnce(new Response(shardZip));
+
+    await ensureCollectiveXRun(1, '160');
+
+    expect(mockInsert).toHaveBeenCalledTimes(1);
+    expect(mockInsert.mock.calls[0][1].run_id).toBe('160');
+  });
+
+  it('rejects runs from other workflows as not found', async () => {
+    mockFetch.mockResolvedValueOnce(
+      Response.json(runObject({ path: '.github/workflows/run-sweep.yml' })),
+    );
+    const caught = await ensureCollectiveXRun(1, '160').catch((error: unknown) => error);
+    expect(collectiveXSweepErrorCode(caught)).toBe('not-found');
+    expect(mockInsert).not.toHaveBeenCalled();
+  });
+
+  it('rejects malformed run ids without touching GitHub', async () => {
+    const caught = await ensureCollectiveXRun(1, 'abc').catch((error: unknown) => error);
+    expect(collectiveXSweepErrorCode(caught)).toBe('not-found');
+    expect(mockFetch).not.toHaveBeenCalled();
+  });
+});
diff --git a/packages/app/src/lib/collectivex-github.ts b/packages/app/src/lib/collectivex-lazy-ingest.ts
similarity index 57%
rename from packages/app/src/lib/collectivex-github.ts
rename to packages/app/src/lib/collectivex-lazy-ingest.ts
index 14abe4212..3110f196a 100644
--- a/packages/app/src/lib/collectivex-github.ts
+++ b/packages/app/src/lib/collectivex-lazy-ingest.ts
@@ -1,3 +1,21 @@
+/**
+ * Lazy CollectiveX ingest: the CollectiveX database is a durable cache of
+ * GitHub Actions, populated on read. Each `ensure*` function checks the DB
+ * first and only then discovers/downloads sweep artifacts from GitHub,
+ * persisting the RAW documents so a run outlives its 14-day artifact
+ * retention once anyone has viewed it.
+ *
+ * Rules encoded here:
+ *  - Sweep runs are accepted from ANY branch (they are launched via `gh api`
+ *    on feature branches); only the workflow identity is checked.
+ *  - Discovery never gates on conclusion — a red or partial run still
+ *    surfaces what it produced.
+ *  - Tombstoned runs (deleted via the dashboard) are never re-ingested.
+ *  - GitHub being down must not take the page down: callers read the DB
+ *    after `ensure*` and serve whatever is there, so these functions only
+ *    matter when the DB has nothing to fall back to.
+ */
+
 import AdmZip from 'adm-zip';
 
 import { GITHUB_API_BASE, GITHUB_OWNER, GITHUB_REPO } from '@semianalysisai/inferencex-constants';
@@ -5,22 +23,24 @@ import { GITHUB_API_BASE, GITHUB_OWNER, GITHUB_REPO } from '@semianalysisai/infe
 import {
   buildDatasetFromNeutral,
   buildRunSummary,
-  type CollectiveXNeutralRunMeta,
-} from '@/components/collectivex/reader';
-import type {
-  CollectiveXDataset,
-  CollectiveXRunSummary,
-  CollectiveXVersion,
-} from '@/components/collectivex/types';
-
-const BRANCH = 'collectivex';
+  isMatrixDoc,
+  matrixVersion,
+} from '@semianalysisai/inferencex-db/collectivex/reader';
+import type { CollectiveXVersion } from '@semianalysisai/inferencex-db/collectivex/types';
+import { getCollectiveXDb, getCollectiveXWriteDb } from '@semianalysisai/inferencex-db/connection';
+import {
+  getCollectiveXRunStates,
+  insertCollectiveXRun,
+  refreshCollectiveXRunAttempt,
+} from '@semianalysisai/inferencex-db/queries/collectivex';
+
 const WORKFLOW_PATH = '.github/workflows/collectivex-sweep.yml';
 const WORKFLOW_FILE = 'collectivex-sweep.yml';
 const WORKFLOW_NAME = 'CollectiveX Sweep';
 const RUNS_PER_PAGE = 100;
 const ARTIFACTS_PER_PAGE = 100;
 
-// Artifact families uploaded by the current sweep.
+// Artifact families uploaded by the sweep.
 const MATRIX_PREFIX = 'cxsweep-matrix-';
 const SHARD_PREFIX = 'cxshard-';
 
@@ -29,11 +49,9 @@ const MAX_RUN_BYTES = 256 * 1024 * 1024;
 const REQUEST_TIMEOUT_MS = 30_000;
 const MAX_REQUEST_ATTEMPTS = 3;
 const RETRYABLE_STATUSES = new Set([408, 429, 500, 502, 503, 504]);
-const LATEST_TTL_MS = 60_000;
-const RUN_TTL_MS = 60_000;
-// The picker lists a recent window; each listed run costs one artifact-bundle
-// download + build, so the fan-out stays bounded.
-const MAX_LISTED_RUNS = 8;
+// The picker backfill ingests at most this many recent runs per pass; each
+// costs one artifact-bundle download, and only once — afterwards they're rows.
+const MAX_DISCOVERED_RUNS = 8;
 
 type SweepErrorCode = 'invalid' | 'not-found' | 'unavailable';
 
@@ -73,15 +91,26 @@ export function collectiveXSweepErrorCode(error: unknown): SweepErrorCode | null
   return error instanceof CollectiveXSweepError ? error.code : null;
 }
 
-const runCache = new Map<string, { expiresAt: number; promise: Promise<CollectiveXDataset> }>();
-const latestCache = new Map<
-  CollectiveXVersion,
-  { expiresAt: number; promise: Promise<CollectiveXDataset> }
->();
-const listCache = new Map<
-  CollectiveXVersion,
-  { expiresAt: number; promise: Promise<CollectiveXRunSummary[]> }
->();
+/** HTTP status for a sweep-ingest failure; null for unexpected errors. */
+export function collectiveXSweepErrorStatus(error: unknown): 404 | 502 | 503 | null {
+  const code = collectiveXSweepErrorCode(error);
+  if (code === 'not-found') return 404;
+  if (code === 'unavailable') return 503;
+  if (code === 'invalid') return 502;
+  return null;
+}
+
+// Concurrent requests for the same target share one discovery pass; the DB is
+// the cache, so nothing is memoized beyond the in-flight promise.
+const inFlight = new Map<string, Promise<void>>();
+
+function dedupe(key: string, work: () => Promise<void>): Promise<void> {
+  const existing = inFlight.get(key);
+  if (existing) return existing;
+  const promise = work().finally(() => inFlight.delete(key));
+  inFlight.set(key, promise);
+  return promise;
+}
 
 function githubHeaders(token: string) {
   return {
@@ -130,11 +159,11 @@ function requireToken(): string {
   return token;
 }
 
+// Identity check only — never the branch: sweeps run on feature branches.
 function isSweepRun(run: WorkflowRun): boolean {
   return (
     run.name === WORKFLOW_NAME &&
     run.path === WORKFLOW_PATH &&
-    run.head_branch === BRANCH &&
     Number.isSafeInteger(run.id) &&
     run.id > 0 &&
     Number.isSafeInteger(run.run_attempt) &&
@@ -146,15 +175,13 @@ function runGeneratedAt(run: WorkflowRun): string {
   return run.updated_at || run.run_started_at || run.created_at || '';
 }
 
-// Newest-first stream of completed sweep runs on the branch. Discovery never
-// gates on conclusion — a red or partial run still surfaces what it produced.
+// Newest-first stream of completed sweep runs across all branches.
 async function* sweepRuns(token: string): AsyncGenerator<WorkflowRun> {
   let page = 1;
   let visited = 0;
   let total: number | null = null;
   while (total === null || visited < total) {
     const parameters = new URLSearchParams({
-      branch: BRANCH,
       status: 'completed',
       per_page: String(RUNS_PER_PAGE),
       page: String(page),
@@ -273,9 +300,9 @@ async function collectDocs(artifact: GithubArtifact, token: string): Promise<unk
   return docs;
 }
 
-// A run's validated matrix, its selectable version tag, and the artifacts that
-// feed dataset assembly. Kept separate from assembly so run selection can read
-// the version tag cheaply (matrix docs are tiny) before committing to a build.
+// A run's validated matrix, its version tag, and the artifacts that feed
+// persistence. Kept separate so discovery can read the version tag cheaply
+// (matrix docs are tiny) before committing to a full download.
 interface MatrixCandidate {
   matrixDoc: unknown;
   version: number;
@@ -284,7 +311,7 @@ interface MatrixCandidate {
 }
 
 function resultArtifactsForRun(artifacts: GithubArtifact[], run: WorkflowRun): GithubArtifact[] {
-  const suffix = new RegExp(`^${SHARD_PREFIX}(.+)-${run.id}-([1-9][0-9]*)$`);
+  const suffix = new RegExp(`^${SHARD_PREFIX}(.+)-${run.id}-([1-9][0-9]*)$`, 'u');
   const selected = new Map<string, { artifact: GithubArtifact; attempt: number }>();
   for (const artifact of artifacts) {
     const match = suffix.exec(artifact.name);
@@ -305,24 +332,6 @@ function resultArtifactsForRun(artifacts: GithubArtifact[], run: WorkflowRun): G
     .toSorted((left, right) => left.name.localeCompare(right.name));
 }
 
-function matrixVersion(doc: unknown): number | null {
-  const value = (doc as { version?: unknown } | null)?.version;
-  return typeof value === 'number' && Number.isSafeInteger(value) && value > 0 ? value : null;
-}
-
-// Download + structurally validate a run's matrix artifact and read its neutral
-// `version` tag. The matrix doc no longer carries a `format`/`record_type` tag, so it
-// is identified structurally by its requested_cases[] + include[] arrays and a valid
-// numeric `version`; that `version` field is the content axis the frontend selects on.
-function isMatrixDoc(doc: unknown): boolean {
-  const candidate = doc as { requested_cases?: unknown; include?: unknown } | null;
-  return (
-    Array.isArray(candidate?.requested_cases) &&
-    Array.isArray(candidate?.include) &&
-    matrixVersion(doc) !== null
-  );
-}
-
 async function loadMatrixCandidate(
   artifacts: GithubArtifact[],
   token: string,
@@ -349,11 +358,17 @@ async function loadMatrixCandidate(
   return { matrixDoc: matrixCandidates[0], version, matrixArtifacts, resultArtifacts };
 }
 
-async function assembleRun(
+/**
+ * Download a candidate's result docs, validate assembly, persist raw.
+ * `refresh` replaces an already-live row whose GitHub attempt is newer (a
+ * re-run of failed shards); plain inserts are conflict-safe no-ops.
+ */
+async function persistRun(
   run: WorkflowRun,
   candidate: MatrixCandidate,
   token: string,
-): Promise<CollectiveXDataset> {
+  refresh = false,
+): Promise<void> {
   const generatedAt = runGeneratedAt(run);
   if (!generatedAt) {
     throw new CollectiveXSweepError('invalid', 'sweep run is missing a timestamp');
@@ -372,7 +387,7 @@ async function assembleRun(
     docs.push(...(await collectDocs(artifact, token)));
   }
 
-  const meta: CollectiveXNeutralRunMeta = {
+  const meta = {
     run_id: String(run.id),
     run_attempt: run.run_attempt,
     generated_at: generatedAt,
@@ -380,124 +395,146 @@ async function assembleRun(
     source_sha: run.head_sha,
   };
 
+  // Assemble once to validate the bundle and precompute the picker summary;
+  // only the raw documents are stored.
+  let summary;
   try {
-    return buildDatasetFromNeutral(candidate.matrixDoc, docs, meta);
+    summary = buildRunSummary(buildDatasetFromNeutral(candidate.matrixDoc, docs, meta));
   } catch (error) {
     throw new CollectiveXSweepError('invalid', 'sweep run artifacts failed validation', {
       cause: error,
     });
   }
+
+  const row = {
+    ...meta,
+    version: candidate.version,
+    source_branch: run.head_branch,
+    matrix: candidate.matrixDoc,
+    summary,
+  };
+  await (refresh
+    ? refreshCollectiveXRunAttempt(getCollectiveXWriteDb(), row, docs)
+    : insertCollectiveXRun(getCollectiveXWriteDb(), row, docs));
 }
 
-async function fetchRunById(
+/** Download and version-check a candidate's matrix; null when not ingestible. */
+async function matrixCandidateFor(
+  run: WorkflowRun,
   version: CollectiveXVersion,
-  runId: string,
-): Promise<CollectiveXDataset> {
-  const token = requireToken();
-  const numericId = Number(runId);
-  if (!Number.isSafeInteger(numericId) || numericId <= 0) {
-    throw new CollectiveXSweepError('not-found', 'invalid run id');
-  }
-  const response = await githubFetch(
-    `${GITHUB_API_BASE}/repos/${GITHUB_OWNER}/${GITHUB_REPO}/actions/runs/${numericId}`,
-    token,
-  );
-  if (response.status === 404) {
-    throw new CollectiveXSweepError('not-found', 'sweep run not found');
-  }
-  if (!response.ok) {
-    throw new CollectiveXSweepError('unavailable', `GitHub run lookup failed (${response.status})`);
-  }
-  const run = (await response.json()) as WorkflowRun;
-  if (!isSweepRun(run)) {
-    throw new CollectiveXSweepError('not-found', 'run is not a CollectiveX sweep');
-  }
+  token: string,
+): Promise<MatrixCandidate | null> {
   const artifacts = await listArtifacts(run.id, token);
+  if (!hasMatrixArtifact(artifacts, run)) return null;
   const candidate = await loadMatrixCandidate(artifacts, token, run);
-  if (candidate.version !== version) {
-    throw new CollectiveXSweepError('not-found', 'run does not match the requested version');
-  }
-  return assembleRun(run, candidate, token);
-}
-
-async function fetchLatestRun(version: CollectiveXVersion): Promise<CollectiveXDataset> {
-  const token = requireToken();
-  // Newest-wins within the requested version: skip runs tagged for another
-  // version rather than erroring, so a future vN rollout never breaks vN-1.
-  for await (const run of sweepRuns(token)) {
-    const artifacts = await listArtifacts(run.id, token);
-    if (!hasMatrixArtifact(artifacts, run)) continue;
-    const candidate = await loadMatrixCandidate(artifacts, token, run);
-    if (candidate.version !== version) continue;
-    return assembleRun(run, candidate, token);
-  }
-  throw new CollectiveXSweepError('not-found', 'no CollectiveX sweep run with artifacts');
+  return candidate.version === version ? candidate : null;
 }
 
-async function fetchRunList(version: CollectiveXVersion): Promise<CollectiveXRunSummary[]> {
-  const token = requireToken();
-  const summaries: CollectiveXRunSummary[] = [];
-  for await (const run of sweepRuns(token)) {
-    const artifacts = await listArtifacts(run.id, token);
-    if (!hasMatrixArtifact(artifacts, run)) continue;
-    const candidate = await loadMatrixCandidate(artifacts, token, run);
-    if (candidate.version !== version) continue;
-    const cacheKey = `${version}:${run.id}`;
-    const cached = runCache.get(cacheKey);
-    let datasetPromise = cached && cached.expiresAt > Date.now() ? cached.promise : undefined;
-    if (!datasetPromise) {
-      datasetPromise = assembleRun(run, candidate, token);
-      runCache.set(cacheKey, { expiresAt: Date.now() + RUN_TTL_MS, promise: datasetPromise });
-      datasetPromise.catch(() => runCache.delete(cacheKey));
+/**
+ * Handle one discovery candidate — the single walker step shared by the
+ * latest and runs-list paths: persist absent requested-version runs, refresh
+ * live ones whose GitHub attempt is newer (re-run of failed shards), skip
+ * everything else. Returns 'match' when the candidate is a live
+ * requested-version run in the DB after this call; tombstoned runs are
+ * 'skip' — they are invisible to readers and must not satisfy the walk.
+ */
+async function considerCandidate(
+  run: WorkflowRun,
+  version: CollectiveXVersion,
+  token: string,
+): Promise<'match' | 'skip'> {
+  const states = await getCollectiveXRunStates(getCollectiveXDb(), [String(run.id)]);
+  const known = states[String(run.id)];
+  if (known) {
+    if (known.version !== version || known.state !== 'live') return 'skip';
+    if (run.run_attempt > known.run_attempt) {
+      const candidate = await matrixCandidateFor(run, version, token);
+      if (candidate) await persistRun(run, candidate, token, true);
     }
-    summaries.push(buildRunSummary(await datasetPromise));
-    if (summaries.length >= MAX_LISTED_RUNS) break;
+    return 'match';
   }
-  return summaries;
+  const candidate = await matrixCandidateFor(run, version, token);
+  if (!candidate) return 'skip';
+  await persistRun(run, candidate, token);
+  return 'match';
 }
 
-export function loadCollectiveXSweepRun(
-  version: CollectiveXVersion,
-  runId?: string,
-): Promise<CollectiveXDataset> {
-  const now = Date.now();
-  if (runId) {
-    const cacheKey = `${version}:${runId}`;
-    const cached = runCache.get(cacheKey);
-    if (cached && cached.expiresAt > now) return cached.promise;
-    const promise = fetchRunById(version, runId).catch((error) => {
-      runCache.delete(cacheKey);
-      throw error;
-    });
-    runCache.set(cacheKey, { expiresAt: now + RUN_TTL_MS, promise });
-    return promise;
-  }
-  const cached = latestCache.get(version);
-  if (cached && cached.expiresAt > now) return cached.promise;
-  const promise = fetchLatestRun(version).catch((error) => {
-    latestCache.delete(version);
-    throw error;
+/**
+ * Make sure the newest requested-version sweep run on GitHub is in the DB.
+ * Completes silently when GitHub has nothing new; throws only on GitHub or
+ * artifact failures (callers fall back to whatever the DB already holds).
+ */
+export function ensureLatestCollectiveXRun(version: CollectiveXVersion): Promise<void> {
+  return dedupe(`latest:${version}`, async () => {
+    const token = requireToken();
+    for await (const run of sweepRuns(token)) {
+      if ((await considerCandidate(run, version, token)) === 'match') return;
+    }
   });
-  latestCache.set(version, { expiresAt: now + LATEST_TTL_MS, promise });
-  return promise;
 }
 
-export function listCollectiveXSweepRuns(
-  version: CollectiveXVersion,
-): Promise<CollectiveXRunSummary[]> {
-  const now = Date.now();
-  const cached = listCache.get(version);
-  if (cached && cached.expiresAt > now) return cached.promise;
-  const promise = fetchRunList(version).catch((error) => {
-    listCache.delete(version);
-    throw error;
+/**
+ * Backfill up to MAX_DISCOVERED_RUNS recent requested-version runs into the
+ * DB so the picker lists recent sweeps even before anyone viewed them. Only
+ * live matches count toward the cap — tombstoned runs never fill a slot.
+ */
+export function ensureCollectiveXRunsList(version: CollectiveXVersion): Promise<void> {
+  return dedupe(`list:${version}`, async () => {
+    const token = requireToken();
+    let matched = 0;
+    for await (const run of sweepRuns(token)) {
+      if ((await considerCandidate(run, version, token)) === 'match') matched += 1;
+      if (matched >= MAX_DISCOVERED_RUNS) return;
+    }
   });
-  listCache.set(version, { expiresAt: now + LATEST_TTL_MS, promise });
-  return promise;
 }
 
-export function clearCollectiveXSweepCache(): void {
-  runCache.clear();
-  latestCache.clear();
-  listCache.clear();
+/**
+ * Make sure one specific run is in the DB. Throws 'not-found' for absent,
+ * non-sweep, cross-version, or tombstoned runs.
+ */
+export function ensureCollectiveXRun(version: CollectiveXVersion, runId: string): Promise<void> {
+  return dedupe(`run:${version}:${runId}`, async () => {
+    const numericId = Number(runId);
+    if (!Number.isSafeInteger(numericId) || numericId <= 0) {
+      throw new CollectiveXSweepError('not-found', 'invalid run id');
+    }
+    const states = await getCollectiveXRunStates(getCollectiveXDb(), [runId]);
+    const known = states[runId];
+    if (known) {
+      // Tombstoned or cross-version rows both read as absent to the caller.
+      if (known.state === 'live' && known.version === version) return;
+      throw new CollectiveXSweepError('not-found', 'run is not available');
+    }
+    const token = requireToken();
+    const response = await githubFetch(
+      `${GITHUB_API_BASE}/repos/${GITHUB_OWNER}/${GITHUB_REPO}/actions/runs/${numericId}`,
+      token,
+    );
+    if (response.status === 404) {
+      throw new CollectiveXSweepError('not-found', 'sweep run not found');
+    }
+    if (!response.ok) {
+      throw new CollectiveXSweepError(
+        'unavailable',
+        `GitHub run lookup failed (${response.status})`,
+      );
+    }
+    const run = (await response.json()) as WorkflowRun;
+    if (!isSweepRun(run)) {
+      throw new CollectiveXSweepError('not-found', 'run is not a CollectiveX sweep');
+    }
+    // Persisting an in-progress run would freeze a partial snapshot forever
+    // (the run_id is then "known" and never re-fetched). Discovery only sees
+    // completed runs; hold fetch-by-id to the same bar.
+    if (run.status !== 'completed') {
+      throw new CollectiveXSweepError('not-found', 'sweep run has not completed');
+    }
+    const artifacts = await listArtifacts(run.id, token);
+    const candidate = await loadMatrixCandidate(artifacts, token, run);
+    if (candidate.version !== version) {
+      throw new CollectiveXSweepError('not-found', 'run does not match the requested version');
+    }
+    await persistRun(run, candidate, token);
+  });
 }
diff --git a/packages/db/migrations-collectivex/001_initial_schema.sql b/packages/db/migrations-collectivex/001_initial_schema.sql
new file mode 100644
index 000000000..71bc53974
--- /dev/null
+++ b/packages/db/migrations-collectivex/001_initial_schema.sql
@@ -0,0 +1,38 @@
+-- CollectiveX sweep runs, stored as RAW artifact documents.
+--
+-- The sweep JSON contract is expected to change; the shared reader
+-- (packages/db/src/collectivex/reader.ts) is the single transform point and
+-- runs at API-read time, so rows here are the artifacts' documents verbatim.
+-- `summary` is the one precomputed column (CollectiveXRunSummary) so the run
+-- picker can list runs without loading their documents.
+
+create table cx_runs (
+  run_id        bigint      primary key,
+  run_attempt   int         not null,
+  version       int         not null,
+  generated_at  timestamptz not null,
+  source_sha    text        not null,
+  source_branch text,
+  conclusion    text,
+  matrix        jsonb       not null,
+  summary       jsonb       not null,
+  ingested_at   timestamptz not null default now(),
+  -- Tombstone: runs are discovered lazily from GitHub on read, so a deleted
+  -- run must leave a marker or the next discovery would re-ingest it.
+  -- Deletion clears cx_run_docs but keeps this row with deleted_at set.
+  deleted_at    timestamptz
+);
+
+-- "Latest run per version" ordering: run_id desc. GitHub run ids increase
+-- monotonically with run creation, so this matches lazy discovery's
+-- newest-first walk — unlike completion time (generated_at), where a
+-- long-failing older run can outlast a newer successful one.
+create index cx_runs_version_latest on cx_runs (version, run_id desc);
+
+create table cx_run_docs (
+  id     bigserial primary key,
+  run_id bigint    not null references cx_runs(run_id) on delete cascade,
+  doc    jsonb     not null
+);
+
+create index cx_run_docs_run on cx_run_docs (run_id);
diff --git a/packages/db/package.json b/packages/db/package.json
index 2c8dc0677..a9b5c9e63 100644
--- a/packages/db/package.json
+++ b/packages/db/package.json
@@ -5,6 +5,7 @@
   "type": "module",
   "sideEffects": false,
   "exports": {
+    "./collectivex/*": "./src/collectivex/*.ts",
     "./connection": "./src/connection.ts",
     "./etl/*": "./src/etl/*.ts",
     "./json-provider": "./src/json-provider.ts",
@@ -14,10 +15,12 @@
   },
   "scripts": {
     "db:ingest:ci": "tsx src/ingest-ci-run.ts",
+    "db:ingest:collectivex": "dotenv -e ../../.env -- tsx src/ingest-collectivex.ts --download",
     "db:ingest:run": "dotenv -e ../../.env -- tsx src/ingest-ci-run.ts --download",
     "db:ingest:gcs": "dotenv -e ../../.env -- tsx src/ingest-gcs-backup.ts",
     "db:ingest:supplemental": "dotenv -e ../../.env -- tsx src/ingest-supplemental.ts",
     "db:migrate": "dotenv -e ../../.env -- tsx src/migrate.ts",
+    "db:migrate:collectivex": "dotenv -e ../../.env -- tsx src/migrate-collectivex.ts",
     "db:apply-overrides": "dotenv -e ../../.env -- tsx src/apply-overrides.ts",
     "db:backfill-aggregate-stats": "dotenv -e ../../.env -- tsx src/backfill-aggregate-stats.ts",
     "db:backfill-chart-series": "dotenv -e ../../.env -- tsx src/backfill-chart-series.ts",
diff --git a/packages/db/src/collectivex/artifact-selection.test.ts b/packages/db/src/collectivex/artifact-selection.test.ts
new file mode 100644
index 000000000..3c6d83211
--- /dev/null
+++ b/packages/db/src/collectivex/artifact-selection.test.ts
@@ -0,0 +1,42 @@
+import { describe, expect, it } from 'vitest';
+
+import { matrixArtifactName, selectShardArtifactNames } from './artifact-selection';
+
+describe('selectShardArtifactNames', () => {
+  it('selects one artifact per cell, sorted by name', () => {
+    expect(
+      selectShardArtifactNames(
+        ['cxshard-b-160-1', 'cxshard-a-160-1', 'cxsweep-matrix-160'],
+        '160',
+        1,
+      ),
+    ).toEqual(['cxshard-a-160-1', 'cxshard-b-160-1']);
+  });
+
+  it('prefers the highest attempt not above the run attempt', () => {
+    const names = ['cxshard-a-160-1', 'cxshard-a-160-2', 'cxshard-a-160-3', 'cxshard-b-160-1'];
+    expect(selectShardArtifactNames(names, '160', 2)).toEqual([
+      'cxshard-a-160-2',
+      'cxshard-b-160-1',
+    ]);
+  });
+
+  it('keeps cells with hyphenated names intact across run-id collisions', () => {
+    // A cell name may itself contain "-<digits>" fragments; only the trailing
+    // "-{runId}-{attempt}" is structural.
+    const names = ['cxshard-h200-ep8-160-1', 'cxshard-h200-ep8-161-1'];
+    expect(selectShardArtifactNames(names, '160', 1)).toEqual(['cxshard-h200-ep8-160-1']);
+  });
+
+  it('ignores foreign names and zero attempts', () => {
+    expect(
+      selectShardArtifactNames(['cxshard-a-160-0', 'other-160-1', 'cxshard-a-999-1'], '160', 1),
+    ).toEqual([]);
+  });
+});
+
+describe('matrixArtifactName', () => {
+  it('derives the per-run matrix artifact name', () => {
+    expect(matrixArtifactName('160')).toBe('cxsweep-matrix-160');
+  });
+});
diff --git a/packages/db/src/collectivex/artifact-selection.ts b/packages/db/src/collectivex/artifact-selection.ts
new file mode 100644
index 000000000..5f94faea8
--- /dev/null
+++ b/packages/db/src/collectivex/artifact-selection.ts
@@ -0,0 +1,41 @@
+/**
+ * CollectiveX sweep artifact naming and selection. Pure helpers shared by the
+ * ingest script and its tests.
+ *
+ * The sweep uploads two artifact families per run:
+ *   cxsweep-matrix-{run_id}            — one matrix document
+ *   cxshard-{cell}-{run_id}-{attempt}  — case-attempt documents per matrix cell
+ */
+
+export const MATRIX_PREFIX = 'cxsweep-matrix-';
+export const SHARD_PREFIX = 'cxshard-';
+
+export function matrixArtifactName(runId: string): string {
+  return `${MATRIX_PREFIX}${runId}`;
+}
+
+/**
+ * Pick the shard artifact names to ingest: keep the highest attempt ≤ the
+ * run's current attempt per cell (a re-run attempt supersedes its
+ * predecessors; attempts above the run's own attempt cannot legitimately
+ * exist and are ignored).
+ */
+export function selectShardArtifactNames(
+  names: readonly string[],
+  runId: string,
+  runAttempt: number,
+): string[] {
+  const pattern = new RegExp(`^${SHARD_PREFIX}(?<cell>.+)-${runId}-(?<attempt>[1-9][0-9]*)$`, 'u');
+  const selected = new Map<string, { name: string; attempt: number }>();
+  for (const name of names) {
+    const match = pattern.exec(name);
+    if (!match) continue;
+    const attempt = Number(match.groups!.attempt);
+    if (attempt > runAttempt) continue;
+    const previous = selected.get(match.groups!.cell);
+    if (!previous || attempt > previous.attempt) {
+      selected.set(match.groups!.cell, { name, attempt });
+    }
+  }
+  return [...selected.values()].map((entry) => entry.name).toSorted();
+}
diff --git a/packages/app/src/components/collectivex/reader.test.ts b/packages/db/src/collectivex/reader.test.ts
similarity index 100%
rename from packages/app/src/components/collectivex/reader.test.ts
rename to packages/db/src/collectivex/reader.test.ts
diff --git a/packages/app/src/components/collectivex/reader.ts b/packages/db/src/collectivex/reader.ts
similarity index 88%
rename from packages/app/src/components/collectivex/reader.ts
rename to packages/db/src/collectivex/reader.ts
index 017b87008..7584bd870 100644
--- a/packages/app/src/components/collectivex/reader.ts
+++ b/packages/db/src/collectivex/reader.ts
@@ -1,3 +1,15 @@
+/**
+ * CollectiveX neutral-contract reader: assembles the dashboard dataset from a
+ * sweep run's raw matrix + case-attempt docs. Shared by the ingest script
+ * (validation + summary precompute) and the app's API routes (assembly at
+ * read time), so the transform can never drift between the two.
+ *
+ * The sweep JSON contract is expected to change; when it does, update this
+ * reader (and bump the `version` tag in the harness's sweep config). Raw docs
+ * are stored untouched in the DB, so reader fixes retroactively apply to
+ * already-ingested runs.
+ */
+
 import type {
   CollectiveXComponent,
   CollectiveXCoverage,
@@ -329,3 +341,23 @@ export function buildRunSummary(dataset: CollectiveXDataset): CollectiveXRunSumm
     },
   };
 }
+
+/**
+ * Structural identity check for the matrix document (it carries no
+ * `record_type` tag): requested_cases[] + include[] arrays plus a valid
+ * numeric `version` — the content axis the frontend selects on.
+ */
+export function isMatrixDoc(doc: unknown): boolean {
+  const candidate = doc as { requested_cases?: unknown; include?: unknown } | null;
+  return (
+    Array.isArray(candidate?.requested_cases) &&
+    Array.isArray(candidate?.include) &&
+    matrixVersion(doc) !== null
+  );
+}
+
+/** Read the matrix doc's numeric version tag; null when absent or invalid. */
+export function matrixVersion(doc: unknown): number | null {
+  const value = (doc as { version?: unknown } | null)?.version;
+  return typeof value === 'number' && Number.isSafeInteger(value) && value > 0 ? value : null;
+}
diff --git a/packages/db/src/collectivex/test-fixture.ts b/packages/db/src/collectivex/test-fixture.ts
new file mode 100644
index 000000000..f2b9ad867
--- /dev/null
+++ b/packages/db/src/collectivex/test-fixture.ts
@@ -0,0 +1,242 @@
+import { buildDatasetFromNeutral, type CollectiveXNeutralRunMeta } from './reader';
+import type { CollectiveXDataset, CollectiveXSeries } from './types';
+
+type Json = Record<string, unknown>;
+
+const SOURCE_SHA = 'c'.repeat(40);
+const TOKEN_LADDERS = {
+  decode: '1 2 4 8 16 32 64 128 256 512',
+  prefill: '256 512 1024 2048',
+} as const;
+
+export interface RowOverrides {
+  tokensPerRank?: number;
+  globalTokens?: number;
+  stageUnavailable?: boolean;
+  stageZeroBytes?: boolean;
+}
+
+export interface ShardOverrides {
+  caseId?: string;
+  variant?: string;
+  sku?: string;
+  backend?: string;
+  implName?: string;
+  ep?: number;
+  phase?: string;
+  /** null models a pre-FP8 artifact: no precision field and no case_id suffix. */
+  precision?: string | null;
+  scaleUpTransport?: string;
+  scaleOutTransport?: string | null;
+  topologyClass?: string;
+  nodes?: number;
+  gpusPerNode?: number;
+  scaleUpDomain?: number;
+  vendor?: string;
+  workload?: string;
+  ladder?: string;
+  status?: string;
+  reasons?: string[];
+  rows?: RowOverrides[];
+}
+
+function percentiles(base: number): Json {
+  return { p50: base, p90: base * 1.08, p95: base * 1.12, p99: base * 1.2 };
+}
+
+function component(base: number): Json {
+  return { availability: 'measured', percentiles_us: percentiles(base) };
+}
+
+function bytes(activation: number): Json {
+  return { activation_data_bytes: activation };
+}
+
+function makeRawRow(index: number, row: RowOverrides, worldSize: number): Json {
+  const tokensPerRank = row.tokensPerRank ?? 128 * (index + 1);
+  const components: Json = {
+    dispatch: component(417 + index),
+    combine: component(392 + index),
+    roundtrip: component(921 + index),
+    stage: row.stageUnavailable
+      ? { availability: 'unavailable', percentiles_us: null }
+      : component(120 + index),
+  };
+  const byteProvenance: Json = {
+    dispatch: bytes(384763904),
+    combine: bytes(384763904),
+    roundtrip: bytes(769527808),
+  };
+  if (!row.stageUnavailable) {
+    byteProvenance.stage = bytes(row.stageZeroBytes ? 0 : 192381952);
+  }
+  return {
+    tokens_per_rank: tokensPerRank,
+    global_tokens: row.globalTokens ?? tokensPerRank * worldSize,
+    token_rate_at_latency_percentile: percentiles(8_338_218),
+    components,
+    byte_provenance: byteProvenance,
+  };
+}
+
+function makeRawCase(options: ShardOverrides, caseId: string): Json {
+  const phase = options.phase === 'prefill' ? 'prefill' : 'decode';
+  return {
+    case_id: caseId,
+    backend: options.backend ?? 'deepep-v2',
+    ep: options.ep ?? 8,
+    gpus_per_node: options.gpusPerNode ?? 8,
+    ladder: options.ladder ?? TOKEN_LADDERS[phase],
+    nodes: options.nodes ?? 1,
+    phase,
+    ...(options.precision === null ? {} : { precision: options.precision ?? 'bf16' }),
+    topology_class: options.topologyClass ?? 'h200-nvlink-island',
+    scale_up_domain: options.scaleUpDomain ?? 8,
+    scale_up_transport: options.scaleUpTransport ?? 'nvlink',
+    scale_out_transport: options.scaleOutTransport ?? null,
+  };
+}
+
+export function caseIdOf(options: ShardOverrides = {}): string {
+  if (options.caseId) return options.caseId;
+  const tail = options.variant ? `-${options.variant}` : '';
+  const precision = options.precision === null ? '' : `-${options.precision ?? 'bf16'}`;
+  return `${options.sku ?? 'h200-dgxc'}-${options.backend ?? 'deepep-v2'}-${options.workload ?? 'deepseek-v3'}-normal-${options.phase ?? 'decode'}-ep${options.ep ?? 8}-uniform${precision}${tail}`;
+}
+
+export function makeRawShard(options: ShardOverrides = {}): Json {
+  const caseId = caseIdOf(options);
+  const sku = options.sku ?? 'h200-dgxc';
+  const backend = options.backend ?? 'deepep-v2';
+  const phase = options.phase === 'prefill' ? 'prefill' : 'decode';
+  const ladder = options.ladder ?? TOKEN_LADDERS[phase];
+  const worldSize = (options.nodes ?? 1) * (options.gpusPerNode ?? 8);
+  const rows =
+    options.rows ?? ladder.split(/\s+/).map((tokens) => ({ tokensPerRank: Number(tokens) }));
+  return {
+    version: 1,
+    record_type: 'case-attempt',
+    identity: {
+      case_id: caseId,
+      case_factors: { sku, case: makeRawCase({ ...options, backend }, caseId) },
+    },
+    implementation: { name: options.implName ?? backend },
+    runtime: { vendor: options.vendor ?? 'nvidia' },
+    measurement: { rows: rows.map((row, index) => makeRawRow(index, row, worldSize)) },
+    outcome: {
+      status: options.status ?? 'success',
+      ...(options.reasons ? { reasons: options.reasons } : {}),
+    },
+  };
+}
+
+export function makeInvalidCaseAttempt(options: ShardOverrides = {}): Json {
+  return makeRawShard({ status: 'invalid', reasons: ['capability-gate'], ...options });
+}
+
+interface RequestedCaseSpec {
+  caseId: string;
+  sku: string;
+  disposition?: 'runnable' | 'unsupported';
+  reason?: string;
+  case: Json;
+}
+
+function requestedFromShard(shard: Json): RequestedCaseSpec {
+  const identity = shard.identity as Json;
+  const factors = identity.case_factors as Json;
+  return {
+    caseId: identity.case_id as string,
+    sku: factors.sku as string,
+    case: factors.case as Json,
+  };
+}
+
+export function makeRawMatrix(requested: RequestedCaseSpec[], version = 1): Json {
+  return {
+    version,
+    include: [],
+    requested_cases: requested.map((entry) => ({
+      case: entry.case,
+      sku: entry.sku,
+      disposition: entry.disposition ?? 'runnable',
+      reason: entry.reason ?? null,
+      detail: entry.reason ? 'unsupported by the selected backend/platform' : null,
+    })),
+  };
+}
+
+export function makeRunMeta(
+  overrides: Partial<CollectiveXNeutralRunMeta> = {},
+): CollectiveXNeutralRunMeta {
+  return {
+    run_id: '160',
+    run_attempt: 1,
+    generated_at: '2026-07-08T12:20:00Z',
+    conclusion: 'success',
+    source_sha: SOURCE_SHA,
+    ...overrides,
+  };
+}
+
+export function buildDataset(
+  options: {
+    shards?: Json[];
+    requestedCases?: RequestedCaseSpec[];
+    meta?: Partial<CollectiveXNeutralRunMeta>;
+  } = {},
+): CollectiveXDataset {
+  const shards = options.shards ?? [makeRawShard()];
+  const requested = [...shards.map(requestedFromShard), ...(options.requestedCases ?? [])];
+  return buildDatasetFromNeutral(makeRawMatrix(requested), shards, makeRunMeta(options.meta));
+}
+
+export function makeCollectiveXSeries(overrides: ShardOverrides = {}): CollectiveXSeries {
+  return buildDataset({ shards: [makeRawShard(overrides)] }).series[0];
+}
+
+export function makeCollectiveXDataset(): CollectiveXDataset {
+  const shardA = makeRawShard();
+  const shardB = makeRawShard({
+    sku: 'mi355x',
+    backend: 'mori',
+    implName: 'mori',
+    vendor: 'amd',
+    ep: 16,
+    scaleUpTransport: 'xgmi',
+    scaleOutTransport: 'rdma',
+    topologyClass: 'mi355x-xgmi-rdma',
+    nodes: 2,
+  });
+  // The same cell as shardA measured with FP8 dispatch, so consumers exercise
+  // the bf16/fp8 split of an otherwise identical configuration.
+  const shardC = makeRawShard({ precision: 'fp8' });
+  const unsupportedId = 'b300-deepep-v2-deepseek-v3-normal-decode-ep16-uniform-bf16';
+  const pendingId = 'b200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-bf16';
+  return buildDataset({
+    shards: [shardA, shardB, shardC],
+    requestedCases: [
+      {
+        caseId: unsupportedId,
+        sku: 'b300',
+        disposition: 'unsupported',
+        reason: 'backend-platform-unsupported',
+        case: makeRawCase(
+          {
+            backend: 'deepep-v2',
+            ep: 16,
+            nodes: 2,
+            scaleOutTransport: 'rdma',
+            topologyClass: 'b300-nvlink-rdma',
+          },
+          unsupportedId,
+        ),
+      },
+      {
+        caseId: pendingId,
+        sku: 'b200-dgxc',
+        case: makeRawCase({ backend: 'deepep-v2', topologyClass: 'b200-nvlink-island' }, pendingId),
+      },
+    ],
+  });
+}
diff --git a/packages/db/src/collectivex/types.ts b/packages/db/src/collectivex/types.ts
new file mode 100644
index 000000000..7955a49ec
--- /dev/null
+++ b/packages/db/src/collectivex/types.ts
@@ -0,0 +1,127 @@
+/**
+ * CollectiveX neutral contract — the version-tagged shape shared by the sweep
+ * artifacts' reader, the ingest script, and the dashboard frontend.
+ *
+ * This module is pure TypeScript (no Node/DB imports) so it is safe to import
+ * from client components. UI-only types (chart points, axis modes, display
+ * label helpers) live in `packages/app/src/components/collectivex/types.ts`.
+ */
+
+export type CollectiveXPhase = 'decode' | 'prefill';
+export type CollectiveXPrecision = 'bf16' | 'fp8';
+export const COLLECTIVEX_VERSIONS = [1] as const;
+export type CollectiveXVersion = (typeof COLLECTIVEX_VERSIONS)[number];
+export const COLLECTIVEX_DEFAULT_VERSION: CollectiveXVersion = COLLECTIVEX_VERSIONS.at(-1)!;
+
+export function parseCollectiveXVersion(raw: string): CollectiveXVersion | null {
+  const version = Number(raw);
+  return (COLLECTIVEX_VERSIONS as readonly number[]).includes(version)
+    ? (version as CollectiveXVersion)
+    : null;
+}
+
+export type CollectiveXOperation = 'dispatch' | 'stage' | 'combine' | 'roundtrip';
+export type CollectiveXPercentile = 'p50' | 'p90' | 'p95' | 'p99';
+export type CollectiveXOutcome =
+  | 'success'
+  | 'unsupported'
+  | 'failed'
+  | 'invalid'
+  | 'diagnostic'
+  | 'pending';
+export type CollectiveXTerminalStatus = Exclude<CollectiveXOutcome, 'success'> | 'measured';
+
+export type CollectiveXPercentiles = Record<CollectiveXPercentile, number>;
+
+export interface CollectiveXComponent {
+  latency_us: CollectiveXPercentiles;
+  activation_data_rate_gbps_at_latency_percentile: CollectiveXPercentiles | null;
+}
+
+export interface CollectiveXPoint {
+  tokens_per_rank: number;
+  global_tokens: number;
+  components: Record<CollectiveXOperation, CollectiveXComponent | null>;
+  roundtrip_token_rate_at_latency_percentile: CollectiveXPercentiles;
+}
+
+export interface CollectiveXTopology {
+  ep_size: number;
+  nodes: number;
+  gpus_per_node: number;
+  scale_up_domain: number;
+  scale_up_transport: string;
+  scale_out_transport: string | null;
+  topology_class: string;
+}
+
+export interface CollectiveXSeries {
+  series_id: string;
+  phase: CollectiveXPhase;
+  precision: CollectiveXPrecision;
+  backend: string;
+  system: CollectiveXTopology & {
+    sku: string;
+    vendor: 'nvidia' | 'amd';
+  };
+  points: CollectiveXPoint[];
+}
+
+export interface CollectiveXCoveragePoint {
+  tokens_per_rank: number;
+  global_tokens: number;
+  terminal_status: CollectiveXTerminalStatus;
+  reason: string | null;
+}
+
+export interface CollectiveXCoverage {
+  case_id: string;
+  label: string;
+  disposition: 'runnable' | 'unsupported';
+  sku: string;
+  backend: string;
+  phase: CollectiveXPhase;
+  precision: CollectiveXPrecision;
+  topology: CollectiveXTopology;
+  points: CollectiveXCoveragePoint[];
+  outcome: CollectiveXOutcome;
+  reason: string | null;
+  detail: string | null;
+}
+
+export interface CollectiveXRun {
+  run_id: string;
+  run_attempt: number;
+  generated_at: string;
+  conclusion: string | null;
+  source_sha: string;
+  requested_cases: number;
+  terminal_cases: number;
+  measured_cases: number;
+  unsupported_cases: number;
+  failed_cases: number;
+  requested_points: number;
+  terminal_points: number;
+  measured_points: number;
+  covered_skus: string[];
+}
+
+export interface CollectiveXDataset {
+  version: number;
+  run: CollectiveXRun;
+  coverage: CollectiveXCoverage[];
+  series: CollectiveXSeries[];
+}
+
+export interface CollectiveXRunSummary {
+  run_id: string;
+  run_attempt: number;
+  generated_at: string;
+  conclusion: string | null;
+  covered_skus: string[];
+  requested_cases: number;
+  measured_cases: number;
+  requested_points: number;
+  terminal_points: number;
+  terminal_counts: { measured: number; unsupported: number; failed: number };
+}
diff --git a/packages/db/src/connection.ts b/packages/db/src/connection.ts
index 37b377f7f..d95abdd3f 100644
--- a/packages/db/src/connection.ts
+++ b/packages/db/src/connection.ts
@@ -79,7 +79,7 @@ function wrapPostgres(sql: postgres.Sql): DbClient {
 
 // Survive Next.js HMR — without globalThis the module re-evaluates on each
 // hot reload, leaking the previous postgres.js TCP connection pool.
-const g = globalThis as unknown as { __dbClient?: DbClient; __dbWriteClient?: DbClient };
+const g = globalThis as unknown as { __dbClients?: Map<string, DbClient> };
 
 function makeDbClient(url: string): DbClient {
   return shouldUseNeon(url)
@@ -87,24 +87,43 @@ function makeDbClient(url: string): DbClient {
     : wrapPostgres(postgres(url, postgresOptionsForUrl(url)));
 }
 
+/** One memoized client per connection env var; throws when the var is unset. */
+function memoizedClient(envVar: string): DbClient {
+  g.__dbClients ??= new Map();
+  const cached = g.__dbClients.get(envVar);
+  if (cached) return cached;
+  const url = process.env[envVar];
+  if (!url) throw new Error(`${envVar} is not set`);
+  const client = makeDbClient(url);
+  g.__dbClients.set(envVar, client);
+  return client;
+}
+
 /**
  * Read-only SQL client for API routes.
  * Throws if DATABASE_READONLY_URL is not set — callers in JSON_MODE
  * should skip this and use the json-provider instead.
  */
 export function getDb(): DbClient {
-  if (g.__dbClient) return g.__dbClient;
-  const url = process.env.DATABASE_READONLY_URL;
-  if (!url) throw new Error('DATABASE_READONLY_URL is not set');
-  g.__dbClient = makeDbClient(url);
-  return g.__dbClient;
+  return memoizedClient('DATABASE_READONLY_URL');
 }
 
 /** Write-capable SQL client for API routes that need to insert (e.g. user feedback). */
 export function getWriteDb(): DbClient {
-  if (g.__dbWriteClient) return g.__dbWriteClient;
-  const url = process.env.DATABASE_WRITE_URL;
-  if (!url) throw new Error('DATABASE_WRITE_URL is not set');
-  g.__dbWriteClient = makeDbClient(url);
-  return g.__dbWriteClient;
+  return memoizedClient('DATABASE_WRITE_URL');
+}
+
+/**
+ * Read-only SQL client for the CollectiveX database — a separate Neon
+ * instance from the main benchmark DB, holding raw sweep-run documents.
+ * Must point at the same primary as the write URL (not a lagging replica):
+ * the lazy-ingest routes read their own writes within a single request.
+ */
+export function getCollectiveXDb(): DbClient {
+  return memoizedClient('DATABASE_COLLECTIVEX_READONLY_URL');
+}
+
+/** Write-capable SQL client for the CollectiveX database (lazy ingest + run deletion). */
+export function getCollectiveXWriteDb(): DbClient {
+  return memoizedClient('DATABASE_COLLECTIVEX_WRITE_URL');
 }
diff --git a/packages/db/src/etl/db-utils.ts b/packages/db/src/etl/db-utils.ts
index adc6c1cd5..6ff1678da 100644
--- a/packages/db/src/etl/db-utils.ts
+++ b/packages/db/src/etl/db-utils.ts
@@ -9,16 +9,18 @@ export type Sql = ReturnType<typeof postgres>;
 /**
  * Create a postgres client for admin scripts.
  * Reads DATABASE_WRITE_URL by default, or DATABASE_READONLY_URL with `readonly: true`.
+ * Pass `envVar` to target another database (e.g. DATABASE_COLLECTIVEX_WRITE_URL).
  * Pass `noSsl: true` to disable TLS for local Postgres.
  */
 export function createAdminSql(
   opts: Omit<Options<Record<string, postgres.PostgresType>>, 'ssl'> & {
     readonly?: boolean;
     noSsl?: boolean;
+    envVar?: string;
   } = {},
 ): Sql {
-  const { readonly, noSsl, ...pgOpts } = opts;
-  const envVar = readonly ? 'DATABASE_READONLY_URL' : 'DATABASE_WRITE_URL';
+  const { readonly, noSsl, envVar: envVarOverride, ...pgOpts } = opts;
+  const envVar = envVarOverride ?? (readonly ? 'DATABASE_READONLY_URL' : 'DATABASE_WRITE_URL');
   const url = process.env[envVar];
   if (!url) {
     console.error(`${envVar} is required`);
diff --git a/packages/db/src/ingest-collectivex.ts b/packages/db/src/ingest-collectivex.ts
new file mode 100644
index 000000000..a861845de
--- /dev/null
+++ b/packages/db/src/ingest-collectivex.ts
@@ -0,0 +1,247 @@
+/**
+ * Ingest a CollectiveX sweep run's artifacts into the CollectiveX database.
+ *
+ * Stores the RAW matrix + case-attempt documents (the sweep JSON contract is
+ * expected to change; the shared reader in src/collectivex/reader.ts is the
+ * single transform point and runs at API-read time). The reader IS executed
+ * once here — to validate the bundle assembles and to precompute the
+ * `summary` column that backs the dashboard's run picker.
+ *
+ * Sweep runs are accepted from ANY branch of the source repo (they are
+ * launched via `gh api` on feature branches); only the workflow identity is
+ * checked, never head_branch.
+ *
+ * The dashboard ingests runs lazily on read; this CLI exists to pre-warm runs
+ * before their GitHub artifacts expire, backfill older runs into the picker,
+ * and force-refresh a run. Re-ingesting a run the dashboard deleted clears
+ * its tombstone (deliberate operator override).
+ *
+ * Two modes:
+ *   --download <run-url-or-id> [repo]  Download artifacts from GitHub then ingest
+ *   (no flag)                          Read pre-downloaded artifacts from INGEST_ARTIFACTS_PATH
+ *
+ * Usage:
+ *   pnpm admin:db:ingest:collectivex https://github.com/SemiAnalysisAI/InferenceX/actions/runs/123
+ *   pnpm admin:db:ingest:collectivex 123
+ *
+ * Environment variables:
+ *   DATABASE_COLLECTIVEX_WRITE_URL — Postgres connection string (direct, non-pooled)
+ *   GITHUB_TOKEN                   — GitHub PAT for run metadata + artifact download
+ *   INGEST_RUN_ID                  — (env mode) Workflow run ID
+ *   INGEST_ARTIFACTS_PATH          — (env mode) Local path to pre-downloaded artifacts
+ *   INGEST_REPO                    — (env mode) Source repo slug (owner/name)
+ */
+
+import fs from 'fs';
+import os from 'os';
+import path from 'path';
+
+import { hasNoSslFlag } from './cli-utils';
+import { createAdminSql } from './etl/db-utils';
+import {
+  downloadArtifact,
+  fetchRunMeta,
+  listRunArtifacts,
+  type RunMeta,
+} from './lib/github-artifacts';
+import { matrixArtifactName, selectShardArtifactNames } from './collectivex/artifact-selection';
+import {
+  buildDatasetFromNeutral,
+  buildRunSummary,
+  isMatrixDoc,
+  matrixVersion,
+  type CollectiveXNeutralRunMeta,
+} from './collectivex/reader';
+
+const DEFAULT_REPO = 'SemiAnalysisAI/InferenceX';
+const SWEEP_WORKFLOW_PATH = '.github/workflows/collectivex-sweep.yml';
+const DOCS_INSERT_CHUNK = 200;
+
+// ── Argument / env parsing ──────────────────────────────────────────────────
+
+const isDownloadMode = process.argv[2] === '--download';
+
+let artifactsDir: string;
+let runIdStr: string;
+let REPO: string;
+let tempDir: string | null = null;
+
+if (isDownloadMode) {
+  // Positional args only: drop the '--' injected by pnpm arg passthrough and
+  // option flags like --no-ssl (read from argv by their own helpers).
+  const args = process.argv.slice(3).filter((a) => !a.startsWith('--'));
+  const input = args[0];
+  if (!input) {
+    console.error('Usage: pnpm admin:db:ingest:collectivex <run-url-or-id> [repo]');
+    process.exit(1);
+  }
+  const match = input.match(/\/runs\/(?<runId>\d+)/u);
+  const parsedId = match ? match.groups!.runId : /^\d+$/u.test(input) ? input : null;
+  if (!parsedId) {
+    console.error(`Could not parse run ID from: ${input}`);
+    process.exit(1);
+  }
+  runIdStr = parsedId;
+  REPO = args[1] ?? DEFAULT_REPO;
+  tempDir = fs.mkdtempSync(path.join(os.tmpdir(), 'cx-ingest-'));
+  artifactsDir = tempDir;
+} else {
+  const runId = process.env.INGEST_RUN_ID;
+  const artifactsPath = process.env.INGEST_ARTIFACTS_PATH;
+  if (!runId || !artifactsPath) {
+    console.error('INGEST_RUN_ID and INGEST_ARTIFACTS_PATH are required without --download');
+    process.exit(1);
+  }
+  runIdStr = runId;
+  REPO = process.env.INGEST_REPO ?? DEFAULT_REPO;
+  artifactsDir = artifactsPath;
+}
+
+// The repo slug reaches shell-interpolated `gh api` calls — reject metachars.
+if (!/^[\w.-]+\/[\w.-]+$/u.test(REPO)) {
+  console.error(`Invalid repo slug: ${REPO}`);
+  process.exit(1);
+}
+
+// ── Artifact reading ────────────────────────────────────────────────────────
+
+/** Parse every `*.json` file in an artifact directory. */
+function readDocsDir(dir: string): unknown[] {
+  const docs: unknown[] = [];
+  for (const entry of fs.readdirSync(dir, { withFileTypes: true })) {
+    const full = path.join(dir, entry.name);
+    if (entry.isDirectory()) {
+      docs.push(...readDocsDir(full));
+      continue;
+    }
+    if (!entry.name.endsWith('.json')) continue;
+    docs.push(JSON.parse(fs.readFileSync(full, 'utf8')));
+  }
+  return docs;
+}
+
+function runGeneratedAt(run: RunMeta): string {
+  return run.updated_at || run.run_started_at || run.created_at || '';
+}
+
+// ── Main ────────────────────────────────────────────────────────────────────
+
+async function main(): Promise<void> {
+  console.log(`=== db:ingest:collectivex — run ${runIdStr} (${REPO}) ===`);
+
+  const run = fetchRunMeta(REPO, runIdStr);
+  // Identity check only — never the branch: sweeps run on feature branches.
+  if (run.path !== SWEEP_WORKFLOW_PATH) {
+    throw new Error(`run ${runIdStr} is not a CollectiveX sweep (workflow: ${run.path})`);
+  }
+  const generatedAt = runGeneratedAt(run);
+  if (!generatedAt) throw new Error(`run ${runIdStr} is missing a timestamp`);
+  console.log(
+    `  workflow: ${run.name}  branch: ${run.head_branch ?? '?'}  attempt: ${run.run_attempt}  conclusion: ${run.conclusion ?? 'in-progress'}`,
+  );
+
+  const matrixDirName = matrixArtifactName(runIdStr);
+
+  if (isDownloadMode) {
+    const artifacts = listRunArtifacts(REPO, runIdStr);
+    // Keep the newest per name — retried uploads can duplicate a name.
+    const byName = new Map<string, (typeof artifacts)[number]>();
+    for (const artifact of artifacts) {
+      const existing = byName.get(artifact.name);
+      if (!existing || artifact.created_at > existing.created_at) {
+        byName.set(artifact.name, artifact);
+      }
+    }
+    const wanted = [
+      matrixDirName,
+      ...selectShardArtifactNames([...byName.keys()], runIdStr, run.run_attempt),
+    ];
+    for (const name of wanted) {
+      const artifact = byName.get(name);
+      if (!artifact) continue;
+      console.log(`  downloading ${name}`);
+      downloadArtifact(artifact, artifactsDir);
+    }
+  }
+
+  const availableDirs = fs
+    .readdirSync(artifactsDir, { withFileTypes: true })
+    .filter((entry) => entry.isDirectory())
+    .map((entry) => entry.name);
+
+  if (!availableDirs.includes(matrixDirName)) {
+    throw new Error(`run ${runIdStr} has no ${matrixDirName} artifact`);
+  }
+  const matrixDocs = readDocsDir(path.join(artifactsDir, matrixDirName)).filter((doc) =>
+    isMatrixDoc(doc),
+  );
+  if (matrixDocs.length !== 1) {
+    throw new Error(`expected exactly one matrix document, found ${matrixDocs.length}`);
+  }
+  const matrix = matrixDocs[0];
+  const version = matrixVersion(matrix);
+  if (version === null) throw new Error('matrix document has no valid version tag');
+
+  const shardDirs = selectShardArtifactNames(availableDirs, runIdStr, run.run_attempt);
+  console.log(`  matrix version: ${version}  shard artifacts: ${shardDirs.length}`);
+  const docs = shardDirs.flatMap((dir) => readDocsDir(path.join(artifactsDir, dir)));
+
+  // Assemble once: validates the bundle and precomputes the picker summary.
+  const meta: CollectiveXNeutralRunMeta = {
+    run_id: runIdStr,
+    run_attempt: run.run_attempt,
+    generated_at: generatedAt,
+    conclusion: run.conclusion,
+    source_sha: run.head_sha,
+  };
+  const dataset = buildDatasetFromNeutral(matrix, docs, meta);
+  const summary = buildRunSummary(dataset);
+  console.log(
+    `  assembled: ${summary.requested_cases} cases (${summary.measured_cases} measured), ${summary.requested_points} points`,
+  );
+
+  const sql = createAdminSql({
+    envVar: 'DATABASE_COLLECTIVEX_WRITE_URL',
+    noSsl: hasNoSslFlag(),
+    max: 1,
+    onnotice: () => {},
+  });
+  try {
+    await sql.begin(async (tx) => {
+      // Re-ingest = refresh: replace the run and its documents wholesale.
+      await tx`DELETE FROM cx_runs WHERE run_id = ${runIdStr}`;
+      // The ::jsonb casts type the parameters as jsonb, so postgres.js
+      // serializes the raw objects itself — pre-stringifying here would
+      // double-encode them into jsonb strings.
+      await tx`
+        INSERT INTO cx_runs
+          (run_id, run_attempt, version, generated_at, source_sha, source_branch, conclusion, matrix, summary)
+        VALUES
+          (${runIdStr}, ${run.run_attempt}, ${version}, ${generatedAt}, ${run.head_sha},
+           ${run.head_branch}, ${run.conclusion}, ${matrix as never}::jsonb,
+           ${summary as never}::jsonb)
+      `;
+      for (let i = 0; i < docs.length; i += DOCS_INSERT_CHUNK) {
+        const chunk = docs.slice(i, i + DOCS_INSERT_CHUNK).map((doc) => JSON.stringify(doc));
+        await tx`
+          INSERT INTO cx_run_docs (run_id, doc)
+          SELECT ${runIdStr}, unnest(${tx.array(chunk)}::jsonb[])
+        `;
+      }
+    });
+    console.log(`  stored run ${runIdStr} (version ${version}, ${docs.length} docs)`);
+  } finally {
+    await sql.end();
+  }
+
+  console.log('=== db:ingest:collectivex complete ===');
+}
+
+main()
+  .catch((error) => {
+    console.error('db:ingest:collectivex failed:', error);
+    process.exitCode = 1;
+  })
+  .finally(() => {
+    if (tempDir) fs.rmSync(tempDir, { recursive: true, force: true });
+  });
diff --git a/packages/db/src/lib/github-artifacts.ts b/packages/db/src/lib/github-artifacts.ts
index c96ae8305..e7094ad04 100644
--- a/packages/db/src/lib/github-artifacts.ts
+++ b/packages/db/src/lib/github-artifacts.ts
@@ -84,3 +84,26 @@ export function fetchRunAttempt(repo: string, runId: string): number {
   }).trim();
   return parseInt(attemptStr || '1', 10);
 }
+
+export interface RunMeta {
+  id: number;
+  name: string;
+  path: string;
+  run_attempt: number;
+  head_sha: string;
+  head_branch: string | null;
+  conclusion: string | null;
+  status: string | null;
+  updated_at?: string | null;
+  run_started_at?: string | null;
+  created_at?: string | null;
+}
+
+/** Fetch a workflow run's metadata via `gh api`. */
+export function fetchRunMeta(repo: string, runId: string): RunMeta {
+  const json = execSync(`gh api "repos/${repo}/actions/runs/${runId}"`, {
+    encoding: 'utf8',
+    maxBuffer: 10 * 1024 * 1024,
+  });
+  return JSON.parse(json) as RunMeta;
+}
diff --git a/packages/db/src/lib/migration-runner.test.ts b/packages/db/src/lib/migration-runner.test.ts
new file mode 100644
index 000000000..4affed65d
--- /dev/null
+++ b/packages/db/src/lib/migration-runner.test.ts
@@ -0,0 +1,88 @@
+import fs from 'fs';
+import os from 'os';
+import path from 'path';
+
+import { afterEach, beforeEach, describe, expect, it } from 'vitest';
+
+import { runMigrations } from './migration-runner';
+
+interface Executed {
+  text: string;
+  params?: unknown[];
+}
+
+/**
+ * Minimal stand-in for the postgres.js client surface runMigrations uses:
+ * tagged-template select on schema_migrations + begin(tx.unsafe).
+ */
+function fakeSql(applied: string[]) {
+  const executed: Executed[] = [];
+  const sql = (strings: TemplateStringsArray) => {
+    const text = strings.join('');
+    executed.push({ text });
+    if (text.includes('select filename')) {
+      return Promise.resolve(applied.map((filename) => ({ filename })));
+    }
+    return Promise.resolve([]);
+  };
+  sql.begin = async (
+    fn: (tx: { unsafe: (text: string, params?: unknown[]) => Promise<void> }) => Promise<void>,
+  ) => {
+    await fn({
+      unsafe: (text: string, params?: unknown[]) => {
+        executed.push({ text, params });
+        return Promise.resolve();
+      },
+    });
+  };
+  return { sql: sql as never, executed };
+}
+
+let dir: string;
+
+beforeEach(() => {
+  dir = fs.mkdtempSync(path.join(os.tmpdir(), 'migration-runner-'));
+});
+
+afterEach(() => {
+  fs.rmSync(dir, { recursive: true, force: true });
+});
+
+describe('runMigrations', () => {
+  it('applies pending .sql files in filename order and records them', async () => {
+    fs.writeFileSync(path.join(dir, '002_second.sql'), 'create table two ();');
+    fs.writeFileSync(path.join(dir, '001_first.sql'), 'create table one ();');
+    fs.writeFileSync(path.join(dir, 'notes.txt'), 'not a migration');
+    const { sql, executed } = fakeSql([]);
+
+    const ran = await runMigrations(sql, dir);
+
+    expect(ran).toBe(2);
+    const applied = executed.filter((e) => e.text.startsWith('create table'));
+    expect(applied.map((e) => e.text)).toEqual(['create table one ();', 'create table two ();']);
+    const recorded = executed.filter((e) => e.text.includes('insert into schema_migrations'));
+    expect(recorded.map((e) => e.params)).toEqual([['001_first.sql'], ['002_second.sql']]);
+  });
+
+  it('skips migrations already recorded in schema_migrations', async () => {
+    fs.writeFileSync(path.join(dir, '001_first.sql'), 'create table one ();');
+    fs.writeFileSync(path.join(dir, '002_second.sql'), 'create table two ();');
+    const { sql, executed } = fakeSql(['001_first.sql']);
+
+    const ran = await runMigrations(sql, dir);
+
+    expect(ran).toBe(1);
+    const applied = executed.filter((e) => e.text.startsWith('create table'));
+    expect(applied.map((e) => e.text)).toEqual(['create table two ();']);
+  });
+
+  it('returns 0 when everything is already applied', async () => {
+    fs.writeFileSync(path.join(dir, '001_first.sql'), 'create table one ();');
+    const { sql, executed } = fakeSql(['001_first.sql']);
+
+    const ran = await runMigrations(sql, dir);
+
+    expect(ran).toBe(0);
+    expect(executed.some((e) => e.text.startsWith('create table'))).toBe(false);
+  });
+});
diff --git a/packages/db/src/lib/migration-runner.ts b/packages/db/src/lib/migration-runner.ts
new file mode 100644
index 000000000..3ef4e2135
--- /dev/null
+++ b/packages/db/src/lib/migration-runner.ts
@@ -0,0 +1,56 @@
+/**
+ * Shared SQL-file migration loop used by `migrate.ts` (main DB) and
+ * `migrate-collectivex.ts` (CollectiveX DB). Applies pending `*.sql` files
+ * from a directory in filename order, tracking them in a `schema_migrations`
+ * table on the target database.
+ */
+
+import fs from 'fs';
+import path from 'path';
+
+import type { Sql } from '../etl/db-utils';
+
+export async function runMigrations(sql: Sql, migrationsDir: string): Promise<number> {
+  // Create migrations tracking table if it doesn't exist
+  await sql`
+    create table if not exists schema_migrations (
+      filename   text        primary key,
+      applied_at timestamptz not null default now()
+    )
+  `;
+
+  const migrations = await sql<{ filename: string }[]>`select filename from schema_migrations`;
+  const applied = new Set(migrations.map((r) => r.filename));
+
+  const files = fs
+    .readdirSync(migrationsDir)
+    .filter((f) => f.endsWith('.sql'))
+    .toSorted();
+
+  let ran = 0;
+  for (const file of files) {
+    if (applied.has(file)) {
+      console.log(`  skip  ${file}`);
+      continue;
+    }
+
+    console.log(`  apply ${file} ...`);
+    const sql_text = fs.readFileSync(path.join(migrationsDir, file), 'utf8');
+
+    await sql.begin(async (tx) => {
+      await tx.unsafe(sql_text);
+      await tx.unsafe('insert into schema_migrations (filename) values ($1)', [file]);
+    });
+
+    console.log(`  done  ${file}`);
+    ran++;
+  }
+
+  if (ran === 0) {
+    console.log('  all migrations already applied');
+  } else {
+    console.log(`\n  applied ${ran} migration(s)`);
+  }
+
+  return ran;
+}
diff --git a/packages/db/src/migrate-collectivex.ts b/packages/db/src/migrate-collectivex.ts
new file mode 100644
index 000000000..74864009b
--- /dev/null
+++ b/packages/db/src/migrate-collectivex.ts
@@ -0,0 +1,50 @@
+/**
+ * Run CollectiveX database migrations. Targets the separate CollectiveX Neon
+ * instance via DATABASE_COLLECTIVEX_WRITE_URL (direct, non-pooled connection —
+ * migrations must not go through PgBouncer's transaction pooling mode).
+ *
+ * Usage:
+ *   pnpm admin:db:migrate:collectivex
+ */
+
+import path from 'path';
+
+import { confirm, hasNoSslFlag, hasYesFlag } from './cli-utils';
+import { createAdminSql } from './etl/db-utils';
+import { runMigrations } from './lib/migration-runner';
+
+const MIGRATIONS_DIR = path.join(import.meta.dirname, '..', 'migrations-collectivex');
+
+const sql = createAdminSql({
+  envVar: 'DATABASE_COLLECTIVEX_WRITE_URL',
+  noSsl: hasNoSslFlag(),
+  max: 1,
+  onnotice: () => {}, // suppress "relation already exists" notices
+});
+
+async function migrate(): Promise<void> {
+  console.log('=== db:migrate:collectivex ===');
+  console.log(
+    'This will apply any pending SQL migrations from migrations-collectivex/ to the\n' +
+      'CollectiveX database. Already-applied migrations are skipped.\n',
+  );
+
+  if (!hasYesFlag()) {
+    const ok = await confirm('Continue? (y/N) ');
+    if (!ok) {
+      console.log('Aborted.');
+      return;
+    }
+  }
+
+  await runMigrations(sql, MIGRATIONS_DIR);
+
+  console.log('\n=== db:migrate:collectivex complete ===');
+}
+
+migrate()
+  .catch((error) => {
+    console.error('db:migrate:collectivex failed:', error);
+    process.exitCode = 1;
+  })
+  .finally(() => sql.end());
diff --git a/packages/db/src/migrate.ts b/packages/db/src/migrate.ts
index 382511ffd..975774686 100644
--- a/packages/db/src/migrate.ts
+++ b/packages/db/src/migrate.ts
@@ -8,11 +8,11 @@
  *   pnpm admin:db:migrate
  */
 
-import fs from 'fs';
 import path from 'path';
 
 import { confirm, hasNoSslFlag, hasYesFlag } from './cli-utils';
 import { createAdminSql } from './etl/db-utils';
+import { runMigrations } from './lib/migration-runner';
 
 const MIGRATIONS_DIR = path.join(import.meta.dirname, '..', 'migrations');
 
@@ -37,46 +37,7 @@ async function migrate(): Promise<void> {
     }
   }
 
-  // Create migrations tracking table if it doesn't exist
-  await sql`
-    create table if not exists schema_migrations (
-      filename   text        primary key,
-      applied_at timestamptz not null default now()
-    )
-  `;
-
-  const migrations = await sql<{ filename: string }[]>`select filename from schema_migrations`;
-  const applied = new Set(migrations.map((r) => r.filename));
-
-  const files = fs
-    .readdirSync(MIGRATIONS_DIR)
-    .filter((f) => f.endsWith('.sql'))
-    .toSorted();
-
-  let ran = 0;
-  for (const file of files) {
-    if (applied.has(file)) {
-      console.log(`  skip  ${file}`);
-      continue;
-    }
-
-    console.log(`  apply ${file} ...`);
-    const sql_text = fs.readFileSync(path.join(MIGRATIONS_DIR, file), 'utf8');
-
-    await sql.begin(async (tx) => {
-      await tx.unsafe(sql_text);
-      await tx.unsafe('insert into schema_migrations (filename) values ($1)', [file]);
-    });
-
-    console.log(`  done  ${file}`);
-    ran++;
-  }
-
-  if (ran === 0) {
-    console.log('  all migrations already applied');
-  } else {
-    console.log(`\n  applied ${ran} migration(s)`);
-  }
+  await runMigrations(sql, MIGRATIONS_DIR);
 
   console.log('\n=== db:migrate complete ===');
   console.log('  Invalidate API cache: pnpm admin:cache:invalidate');
diff --git a/packages/db/src/queries/collectivex.test.ts b/packages/db/src/queries/collectivex.test.ts
new file mode 100644
index 000000000..214d89215
--- /dev/null
+++ b/packages/db/src/queries/collectivex.test.ts
@@ -0,0 +1,167 @@
+import { describe, expect, it } from 'vitest';
+
+import { makeRawMatrix, makeRawShard, makeRunMeta } from '../collectivex/test-fixture';
+import type { DbClient } from '../connection.js';
+import {
+  collectiveXDatasetFromRow,
+  deleteCollectiveXRun,
+  getCollectiveXRunStates,
+  insertCollectiveXRun,
+  listCollectiveXRuns,
+  refreshCollectiveXRunAttempt,
+  type CollectiveXRunInsert,
+} from './collectivex';
+
+interface Captured {
+  text: string;
+  values: unknown[];
+}
+
+/** Tagged-template stub: records each query, replays queued row sets. */
+function fakeSql(rowsQueue: Record<string, unknown>[][]) {
+  const calls: Captured[] = [];
+  const sql = ((strings: TemplateStringsArray, ...values: unknown[]) => {
+    calls.push({ text: strings.join('?'), values });
+    return Promise.resolve(rowsQueue.shift() ?? []);
+  }) as DbClient;
+  return { sql, calls };
+}
+
+const runInsert: CollectiveXRunInsert = {
+  run_id: '160',
+  run_attempt: 2,
+  version: 1,
+  generated_at: '2026-07-08T12:20:00Z',
+  source_sha: 'a'.repeat(40),
+  source_branch: 'collectivex',
+  conclusion: 'success',
+  matrix: { version: 1, requested_cases: [], include: [] },
+  summary: {
+    run_id: '160',
+    run_attempt: 2,
+    generated_at: '2026-07-08T12:20:00Z',
+    conclusion: 'success',
+    covered_skus: [],
+    requested_cases: 0,
+    measured_cases: 0,
+    requested_points: 0,
+    terminal_points: 0,
+    terminal_counts: { measured: 0, unsupported: 0, failed: 0 },
+  },
+};
+
+describe('getCollectiveXRunStates', () => {
+  it('maps deleted flags to tombstone states with version and attempt', async () => {
+    const { sql } = fakeSql([
+      [
+        { run_id: '160', version: 1, run_attempt: 2, deleted: false },
+        { run_id: '161', version: 2, run_attempt: 1, deleted: true },
+      ],
+    ]);
+    const states = await getCollectiveXRunStates(sql, ['160', '161']);
+    expect(states).toEqual({
+      '160': { state: 'live', version: 1, run_attempt: 2 },
+      '161': { state: 'deleted', version: 2, run_attempt: 1 },
+    });
+  });
+
+  it('skips the query entirely for an empty id list', async () => {
+    const { sql, calls } = fakeSql([]);
+    expect(await getCollectiveXRunStates(sql, [])).toEqual({});
+    expect(calls).toHaveLength(0);
+  });
+});
+
+describe('read queries', () => {
+  it('excludes tombstoned rows and orders newest-created first', async () => {
+    const { sql, calls } = fakeSql([[]]);
+    await listCollectiveXRuns(sql, 1);
+    expect(calls[0].text).toContain('deleted_at IS NULL');
+    expect(calls[0].text).toContain('ORDER BY run_id DESC');
+  });
+});
+
+describe('insertCollectiveXRun', () => {
+  it('binds raw objects (never pre-stringified JSON) and reports insertion', async () => {
+    const { sql, calls } = fakeSql([[{ runs_inserted: 1 }]]);
+    const docs = [{ record_type: 'case-attempt' }];
+
+    await expect(insertCollectiveXRun(sql, runInsert, docs)).resolves.toBe(true);
+
+    expect(calls[0].text).toContain('ON CONFLICT (run_id) DO NOTHING');
+    // Raw objects: a pre-stringified value would double-encode under
+    // postgres.js; a bare array would become a PG array literal under neon.
+    expect(calls[0].values).toContainEqual(runInsert.matrix);
+    expect(calls[0].values).toContainEqual({ docs });
+    expect(
+      calls[0].values.every((value) => typeof value !== 'string' || !value.startsWith('{')),
+    ).toBe(true);
+  });
+
+  it('reports a conflict no-op as not inserted', async () => {
+    const { sql } = fakeSql([[{ runs_inserted: 0 }]]);
+    await expect(insertCollectiveXRun(sql, runInsert, [])).resolves.toBe(false);
+  });
+});
+
+describe('refreshCollectiveXRunAttempt', () => {
+  it('guards on a strictly newer attempt and reports replacement', async () => {
+    const { sql, calls } = fakeSql([[{ runs_updated: 1 }]]);
+    await expect(refreshCollectiveXRunAttempt(sql, runInsert, [])).resolves.toBe(true);
+    expect(calls[0].text).toContain('run_attempt < ');
+    expect(calls[0].text).toContain('deleted_at IS NULL');
+    expect(calls[0].text).toContain('FOR UPDATE');
+  });
+
+  it('reports a guarded no-op (older or equal attempt, or tombstoned) as false', async () => {
+    const { sql } = fakeSql([[{ runs_updated: 0 }]]);
+    await expect(refreshCollectiveXRunAttempt(sql, runInsert, [])).resolves.toBe(false);
+  });
+});
+
+describe('deleteCollectiveXRun', () => {
+  it('tombstones the run then frees its documents', async () => {
+    const { sql, calls } = fakeSql([[{ run_id: '160' }], []]);
+    await expect(deleteCollectiveXRun(sql, '160')).resolves.toBe(true);
+    expect(calls[0].text).toContain('SET deleted_at = now()');
+    expect(calls[0].text).toContain('deleted_at IS NULL');
+    expect(calls[1].text).toContain('DELETE FROM cx_run_docs');
+  });
+
+  it('reports absent or already-tombstoned runs without touching documents', async () => {
+    const { sql, calls } = fakeSql([[]]);
+    await expect(deleteCollectiveXRun(sql, '160')).resolves.toBe(false);
+    expect(calls).toHaveLength(1);
+  });
+});
+
+describe('collectiveXDatasetFromRow', () => {
+  it('assembles a stored row through the shared reader', () => {
+    const shard = makeRawShard();
+    const identity = (
+      shard as { identity: { case_id: string; case_factors: { sku: string; case: unknown } } }
+    ).identity;
+    const meta = makeRunMeta();
+    const dataset = collectiveXDatasetFromRow({
+      run_id: meta.run_id,
+      run_attempt: meta.run_attempt,
+      version: 1,
+      generated_at: meta.generated_at,
+      source_sha: meta.source_sha,
+      source_branch: 'collectivex',
+      conclusion: meta.conclusion,
+      matrix: makeRawMatrix([
+        {
+          caseId: identity.case_id,
+          sku: identity.case_factors.sku,
+          disposition: 'runnable',
+          case: identity.case_factors.case as Record<string, unknown>,
+        },
+      ]),
+      docs: [shard],
+    });
+    expect(dataset.run.run_id).toBe(meta.run_id);
+    expect(dataset.series).toHaveLength(1);
+    expect(dataset.run.measured_cases).toBe(1);
+  });
+});
diff --git a/packages/db/src/queries/collectivex.ts b/packages/db/src/queries/collectivex.ts
new file mode 100644
index 000000000..bb09844b2
--- /dev/null
+++ b/packages/db/src/queries/collectivex.ts
@@ -0,0 +1,248 @@
+import type { DbClient } from '../connection.js';
+import { buildDatasetFromNeutral } from '../collectivex/reader';
+import type { CollectiveXDataset, CollectiveXRunSummary } from '../collectivex/types';
+
+/** One cx_runs row with its raw documents, ready for reader assembly. */
+export interface CollectiveXRunRow {
+  run_id: string;
+  run_attempt: number;
+  version: number;
+  generated_at: string;
+  source_sha: string;
+  source_branch: string | null;
+  conclusion: string | null;
+  matrix: unknown;
+  docs: unknown[];
+}
+
+/** Row metadata + raw docs as written by the lazy ingest. */
+export interface CollectiveXRunInsert {
+  run_id: string;
+  run_attempt: number;
+  version: number;
+  generated_at: string;
+  source_sha: string;
+  source_branch: string | null;
+  conclusion: string | null;
+  matrix: unknown;
+  summary: CollectiveXRunSummary;
+}
+
+/**
+ * Known-run state. Runs are discovered lazily from GitHub on read, so a
+ * deleted run keeps a tombstoned cx_runs row — otherwise the next discovery
+ * pass would re-ingest it.
+ */
+export type CollectiveXRunState = 'live' | 'deleted';
+
+export interface CollectiveXRunStateRow {
+  state: CollectiveXRunState;
+  version: number;
+  run_attempt: number;
+}
+
+/** Run summaries capped at this many rows — deletion keeps the list curated. */
+const MAX_LISTED_RUNS = 50;
+
+function toRunRow(row: Record<string, unknown>, docs: unknown[]): CollectiveXRunRow {
+  return { ...(row as unknown as Omit<CollectiveXRunRow, 'docs'>), docs };
+}
+
+async function docsForRun(sql: DbClient, runId: string): Promise<unknown[]> {
+  const rows = await sql`
+    SELECT doc FROM cx_run_docs WHERE run_id = ${runId} ORDER BY id
+  `;
+  return rows.map((row) => row.doc);
+}
+
+/**
+ * The most recent live run for a version. Ordered by run_id — GitHub run ids
+ * increase monotonically with creation, matching lazy discovery's
+ * newest-first walk (completion time would let a long-failing older run
+ * shadow a newer successful one).
+ */
+export async function getLatestCollectiveXRun(
+  sql: DbClient,
+  version: number,
+): Promise<CollectiveXRunRow | null> {
+  const rows = await sql`
+    SELECT run_id::text, run_attempt, version,
+      to_char(generated_at at time zone 'utc', 'YYYY-MM-DD"T"HH24:MI:SS"Z"') as generated_at,
+      source_sha, source_branch, conclusion, matrix
+    FROM cx_runs
+    WHERE version = ${version} AND deleted_at IS NULL
+    ORDER BY run_id DESC
+    LIMIT 1
+  `;
+  if (rows.length === 0) return null;
+  return toRunRow(rows[0], await docsForRun(sql, rows[0].run_id as string));
+}
+
+/** One specific live run by id, or null when absent, tombstoned, or on another version. */
+export async function getCollectiveXRun(
+  sql: DbClient,
+  version: number,
+  runId: string,
+): Promise<CollectiveXRunRow | null> {
+  const rows = await sql`
+    SELECT run_id::text, run_attempt, version,
+      to_char(generated_at at time zone 'utc', 'YYYY-MM-DD"T"HH24:MI:SS"Z"') as generated_at,
+      source_sha, source_branch, conclusion, matrix
+    FROM cx_runs
+    WHERE version = ${version} AND run_id = ${runId} AND deleted_at IS NULL
+  `;
+  if (rows.length === 0) return null;
+  return toRunRow(rows[0], await docsForRun(sql, rows[0].run_id as string));
+}
+
+/**
+ * Newest-first live run summaries for the picker, straight from the
+ * precomputed `summary` column — no document loading.
+ */
+export async function listCollectiveXRuns(
+  sql: DbClient,
+  version: number,
+): Promise<CollectiveXRunSummary[]> {
+  const rows = await sql`
+    SELECT summary
+    FROM cx_runs
+    WHERE version = ${version} AND deleted_at IS NULL
+    ORDER BY run_id DESC
+    LIMIT ${MAX_LISTED_RUNS}
+  `;
+  return rows.map((row) => row.summary as CollectiveXRunSummary);
+}
+
+/** State of each known run id (live or tombstoned); absent ids are omitted. */
+export async function getCollectiveXRunStates(
+  sql: DbClient,
+  runIds: readonly string[],
+): Promise<Record<string, CollectiveXRunStateRow>> {
+  if (runIds.length === 0) return {};
+  const rows = await sql`
+    SELECT run_id::text, version, run_attempt, (deleted_at IS NOT NULL) AS deleted
+    FROM cx_runs
+    WHERE run_id = ANY(${runIds as string[]}::bigint[])
+  `;
+  return Object.fromEntries(
+    rows.map((row) => [
+      row.run_id as string,
+      {
+        state: row.deleted ? 'deleted' : 'live',
+        version: row.version as number,
+        run_attempt: row.run_attempt as number,
+      },
+    ]),
+  );
+}
+
+/**
+ * Atomically persist one run and its raw documents in a single statement
+ * (data-modifying CTEs), so concurrent lazy ingests can race safely:
+ * `ON CONFLICT DO NOTHING` turns the loser into a clean no-op, and a partial
+ * run can never become visible. Returns true when this call inserted the run.
+ *
+ * The `::jsonb`-cast parameters must be raw objects: both drivers
+ * JSON-serialize objects exactly once, while pre-stringified values get
+ * double-encoded by postgres.js. `docs` is wrapped in an object because the
+ * neon driver would serialize a bare JS array as a Postgres array literal.
+ */
+export async function insertCollectiveXRun(
+  sql: DbClient,
+  run: CollectiveXRunInsert,
+  docs: unknown[],
+): Promise<boolean> {
+  const rows = await sql`
+    WITH new_run AS (
+      INSERT INTO cx_runs
+        (run_id, run_attempt, version, generated_at, source_sha, source_branch, conclusion, matrix, summary)
+      VALUES
+        (${run.run_id}, ${run.run_attempt}, ${run.version}, ${run.generated_at},
+         ${run.source_sha}, ${run.source_branch}, ${run.conclusion},
+         ${run.matrix as never}::jsonb, ${run.summary as never}::jsonb)
+      ON CONFLICT (run_id) DO NOTHING
+      RETURNING run_id
+    ),
+    new_docs AS (
+      INSERT INTO cx_run_docs (run_id, doc)
+      SELECT new_run.run_id, entries.value
+      FROM new_run, jsonb_array_elements((${{ docs } as never}::jsonb)->'docs') AS entries(value)
+      RETURNING id
+    )
+    SELECT (SELECT count(*)::int FROM new_run) AS runs_inserted
+  `;
+  return (rows[0]?.runs_inserted as number) > 0;
+}
+
+/**
+ * Replace a live run's contents when GitHub reports a NEWER attempt (a re-run
+ * of failed shards after the run was already ingested). Single statement with
+ * `FOR UPDATE` + an attempt guard: concurrent refreshers serialize on the row
+ * lock and the loser re-evaluates the guard to a no-op, so documents are never
+ * doubled. Tombstoned runs are never refreshed. Returns true when replaced.
+ */
+export async function refreshCollectiveXRunAttempt(
+  sql: DbClient,
+  run: CollectiveXRunInsert,
+  docs: unknown[],
+): Promise<boolean> {
+  const rows = await sql`
+    WITH target AS (
+      SELECT run_id FROM cx_runs
+      WHERE run_id = ${run.run_id} AND deleted_at IS NULL AND run_attempt < ${run.run_attempt}
+      FOR UPDATE
+    ),
+    removed AS (
+      DELETE FROM cx_run_docs WHERE run_id IN (SELECT run_id FROM target)
+    ),
+    updated AS (
+      UPDATE cx_runs SET
+        run_attempt = ${run.run_attempt},
+        generated_at = ${run.generated_at},
+        source_sha = ${run.source_sha},
+        source_branch = ${run.source_branch},
+        conclusion = ${run.conclusion},
+        matrix = ${run.matrix as never}::jsonb,
+        summary = ${run.summary as never}::jsonb,
+        ingested_at = now()
+      WHERE run_id IN (SELECT run_id FROM target)
+      RETURNING run_id
+    ),
+    new_docs AS (
+      INSERT INTO cx_run_docs (run_id, doc)
+      SELECT updated.run_id, entries.value
+      FROM updated, jsonb_array_elements((${{ docs } as never}::jsonb)->'docs') AS entries(value)
+      RETURNING id
+    )
+    SELECT (SELECT count(*)::int FROM updated) AS runs_updated
+  `;
+  return (rows[0]?.runs_updated as number) > 0;
+}
+
+/**
+ * Tombstone a run: mark it deleted (so lazy discovery never re-ingests it)
+ * and drop its documents to free space. Returns false when the run is absent
+ * or already tombstoned. Re-ingesting via the CLI intentionally clears the
+ * tombstone (operator override).
+ */
+export async function deleteCollectiveXRun(sql: DbClient, runId: string): Promise<boolean> {
+  const rows = await sql`
+    UPDATE cx_runs SET deleted_at = now()
+    WHERE run_id = ${runId} AND deleted_at IS NULL
+    RETURNING run_id::text
+  `;
+  if (rows.length === 0) return false;
+  await sql`DELETE FROM cx_run_docs WHERE run_id = ${runId}`;
+  return true;
+}
+
+/** Assemble a stored run's raw documents into the dashboard dataset. */
+export function collectiveXDatasetFromRow(row: CollectiveXRunRow): CollectiveXDataset {
+  return buildDatasetFromNeutral(row.matrix, row.docs, {
+    run_id: row.run_id,
+    run_attempt: row.run_attempt,
+    generated_at: row.generated_at,
+    conclusion: row.conclusion,
+    source_sha: row.source_sha,
+  });
+}

From deaee36e382f9a79f8f75aaf8233dda593cd19e7 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Fri, 17 Jul 2026 17:28:39 +0800
Subject: [PATCH 18/37] fix(collectivex): make refresh and delete race-proof
 via attempt-stamped docs

Two concurrency holes found in post-review sweep of the lazy-ingest writes:

- Concurrent attempt-refreshes targeting DIFFERENT attempts (2->3 blocked on
  1->2) could leave mixed doc sets: the loser's single-snapshot CTE DELETE
  cannot see docs the winner committed while it waited on the row lock.
  cx_run_docs rows are now stamped with their run_attempt (migration 002)
  and readers fetch row + docs in ONE query filtered to the row's current
  attempt, so superseded or racing doc sets are invisible; the next
  refresh's DELETE garbage-collects them. This also removes the separate
  docs roundtrip and the reader-side race where the row and doc reads could
  straddle a committing refresh.

- deleteCollectiveXRun tombstoned the run and freed its docs in two
  statements; on the neon HTTP driver each autocommits, so a failure
  between them orphaned the docs forever (re-delete short-circuits to 404
  and never retries cleanup). Tombstone + doc removal is now one atomic
  CTE statement.

Migration 002 applied to the provisioned Neon instance.
---
 .../002_docs_attempt.sql                      | 17 ++++
 packages/db/src/ingest-collectivex.ts         |  4 +-
 packages/db/src/queries/collectivex.test.ts   | 12 +--
 packages/db/src/queries/collectivex.ts        | 95 +++++++++++--------
 4 files changed, 81 insertions(+), 47 deletions(-)
 create mode 100644 packages/db/migrations-collectivex/002_docs_attempt.sql

diff --git a/packages/db/migrations-collectivex/002_docs_attempt.sql b/packages/db/migrations-collectivex/002_docs_attempt.sql
new file mode 100644
index 000000000..443c5d944
--- /dev/null
+++ b/packages/db/migrations-collectivex/002_docs_attempt.sql
@@ -0,0 +1,17 @@
+-- Stamp each raw document with the run attempt that produced it.
+--
+-- Readers join docs on the cx_runs row's CURRENT attempt, which makes both
+-- refresh races harmless: a concurrent pair of attempt-refreshes can leave
+-- superseded docs behind (single-snapshot CTE deletes can miss rows written
+-- after the statement's snapshot), and a reader can straddle a refresh across
+-- its row/doc reads — in both cases the attempt filter hides stale documents.
+-- Leftover superseded docs are garbage-collected by the next refresh's DELETE.
+
+alter table cx_run_docs add column run_attempt int;
+
+update cx_run_docs d
+set run_attempt = r.run_attempt
+from cx_runs r
+where r.run_id = d.run_id and d.run_attempt is null;
+
+alter table cx_run_docs alter column run_attempt set not null;
diff --git a/packages/db/src/ingest-collectivex.ts b/packages/db/src/ingest-collectivex.ts
index a861845de..c11a7eb58 100644
--- a/packages/db/src/ingest-collectivex.ts
+++ b/packages/db/src/ingest-collectivex.ts
@@ -224,8 +224,8 @@ async function main(): Promise<void> {
       for (let i = 0; i < docs.length; i += DOCS_INSERT_CHUNK) {
         const chunk = docs.slice(i, i + DOCS_INSERT_CHUNK).map((doc) => JSON.stringify(doc));
         await tx`
-          INSERT INTO cx_run_docs (run_id, doc)
-          SELECT ${runIdStr}, unnest(${tx.array(chunk)}::jsonb[])
+          INSERT INTO cx_run_docs (run_id, run_attempt, doc)
+          SELECT ${runIdStr}, ${run.run_attempt}, unnest(${tx.array(chunk)}::jsonb[])
         `;
       }
     });
diff --git a/packages/db/src/queries/collectivex.test.ts b/packages/db/src/queries/collectivex.test.ts
index 214d89215..d64fbdfe5 100644
--- a/packages/db/src/queries/collectivex.test.ts
+++ b/packages/db/src/queries/collectivex.test.ts
@@ -120,18 +120,18 @@ describe('refreshCollectiveXRunAttempt', () => {
 });
 
 describe('deleteCollectiveXRun', () => {
-  it('tombstones the run then frees its documents', async () => {
-    const { sql, calls } = fakeSql([[{ run_id: '160' }], []]);
+  it('tombstones the run and frees its documents in one atomic statement', async () => {
+    const { sql, calls } = fakeSql([[{ runs_deleted: 1 }]]);
     await expect(deleteCollectiveXRun(sql, '160')).resolves.toBe(true);
+    expect(calls).toHaveLength(1);
     expect(calls[0].text).toContain('SET deleted_at = now()');
     expect(calls[0].text).toContain('deleted_at IS NULL');
-    expect(calls[1].text).toContain('DELETE FROM cx_run_docs');
+    expect(calls[0].text).toContain('DELETE FROM cx_run_docs');
   });
 
-  it('reports absent or already-tombstoned runs without touching documents', async () => {
-    const { sql, calls } = fakeSql([[]]);
+  it('reports absent or already-tombstoned runs as false', async () => {
+    const { sql } = fakeSql([[{ runs_deleted: 0 }]]);
     await expect(deleteCollectiveXRun(sql, '160')).resolves.toBe(false);
-    expect(calls).toHaveLength(1);
   });
 });
 
diff --git a/packages/db/src/queries/collectivex.ts b/packages/db/src/queries/collectivex.ts
index bb09844b2..be0b943af 100644
--- a/packages/db/src/queries/collectivex.ts
+++ b/packages/db/src/queries/collectivex.ts
@@ -44,15 +44,9 @@ export interface CollectiveXRunStateRow {
 /** Run summaries capped at this many rows — deletion keeps the list curated. */
 const MAX_LISTED_RUNS = 50;
 
-function toRunRow(row: Record<string, unknown>, docs: unknown[]): CollectiveXRunRow {
-  return { ...(row as unknown as Omit<CollectiveXRunRow, 'docs'>), docs };
-}
-
-async function docsForRun(sql: DbClient, runId: string): Promise<unknown[]> {
-  const rows = await sql`
-    SELECT doc FROM cx_run_docs WHERE run_id = ${runId} ORDER BY id
-  `;
-  return rows.map((row) => row.doc);
+function toRunRow(row: Record<string, unknown>): CollectiveXRunRow {
+  const { docs, ...rest } = row as unknown as Omit<CollectiveXRunRow, 'docs'> & { docs: unknown };
+  return { ...rest, docs: Array.isArray(docs) ? docs : [] };
 }
 
 /**
@@ -60,22 +54,31 @@ async function docsForRun(sql: DbClient, runId: string): Promise<unknown[]> {
  * increase monotonically with creation, matching lazy discovery's
  * newest-first walk (completion time would let a long-failing older run
  * shadow a newer successful one).
+ *
+ * Row and documents come back in ONE query, with docs filtered to the row's
+ * CURRENT run_attempt: a reader can never observe one attempt's metadata with
+ * another attempt's documents, even while a refresh commits concurrently.
  */
 export async function getLatestCollectiveXRun(
   sql: DbClient,
   version: number,
 ): Promise<CollectiveXRunRow | null> {
   const rows = await sql`
-    SELECT run_id::text, run_attempt, version,
-      to_char(generated_at at time zone 'utc', 'YYYY-MM-DD"T"HH24:MI:SS"Z"') as generated_at,
-      source_sha, source_branch, conclusion, matrix
-    FROM cx_runs
-    WHERE version = ${version} AND deleted_at IS NULL
-    ORDER BY run_id DESC
+    SELECT r.run_id::text, r.run_attempt, r.version,
+      to_char(r.generated_at at time zone 'utc', 'YYYY-MM-DD"T"HH24:MI:SS"Z"') as generated_at,
+      r.source_sha, r.source_branch, r.conclusion, r.matrix,
+      COALESCE(d.docs, '[]'::jsonb) AS docs
+    FROM cx_runs r
+    LEFT JOIN LATERAL (
+      SELECT jsonb_agg(doc ORDER BY id) AS docs
+      FROM cx_run_docs
+      WHERE run_id = r.run_id AND run_attempt = r.run_attempt
+    ) d ON true
+    WHERE r.version = ${version} AND r.deleted_at IS NULL
+    ORDER BY r.run_id DESC
     LIMIT 1
   `;
-  if (rows.length === 0) return null;
-  return toRunRow(rows[0], await docsForRun(sql, rows[0].run_id as string));
+  return rows.length === 0 ? null : toRunRow(rows[0]);
 }
 
 /** One specific live run by id, or null when absent, tombstoned, or on another version. */
@@ -85,14 +88,19 @@ export async function getCollectiveXRun(
   runId: string,
 ): Promise<CollectiveXRunRow | null> {
   const rows = await sql`
-    SELECT run_id::text, run_attempt, version,
-      to_char(generated_at at time zone 'utc', 'YYYY-MM-DD"T"HH24:MI:SS"Z"') as generated_at,
-      source_sha, source_branch, conclusion, matrix
-    FROM cx_runs
-    WHERE version = ${version} AND run_id = ${runId} AND deleted_at IS NULL
+    SELECT r.run_id::text, r.run_attempt, r.version,
+      to_char(r.generated_at at time zone 'utc', 'YYYY-MM-DD"T"HH24:MI:SS"Z"') as generated_at,
+      r.source_sha, r.source_branch, r.conclusion, r.matrix,
+      COALESCE(d.docs, '[]'::jsonb) AS docs
+    FROM cx_runs r
+    LEFT JOIN LATERAL (
+      SELECT jsonb_agg(doc ORDER BY id) AS docs
+      FROM cx_run_docs
+      WHERE run_id = r.run_id AND run_attempt = r.run_attempt
+    ) d ON true
+    WHERE r.version = ${version} AND r.run_id = ${runId} AND r.deleted_at IS NULL
   `;
-  if (rows.length === 0) return null;
-  return toRunRow(rows[0], await docsForRun(sql, rows[0].run_id as string));
+  return rows.length === 0 ? null : toRunRow(rows[0]);
 }
 
 /**
@@ -164,8 +172,8 @@ export async function insertCollectiveXRun(
       RETURNING run_id
     ),
     new_docs AS (
-      INSERT INTO cx_run_docs (run_id, doc)
-      SELECT new_run.run_id, entries.value
+      INSERT INTO cx_run_docs (run_id, run_attempt, doc)
+      SELECT new_run.run_id, ${run.run_attempt}, entries.value
       FROM new_run, jsonb_array_elements((${{ docs } as never}::jsonb)->'docs') AS entries(value)
       RETURNING id
     )
@@ -178,8 +186,11 @@ export async function insertCollectiveXRun(
  * Replace a live run's contents when GitHub reports a NEWER attempt (a re-run
  * of failed shards after the run was already ingested). Single statement with
  * `FOR UPDATE` + an attempt guard: concurrent refreshers serialize on the row
- * lock and the loser re-evaluates the guard to a no-op, so documents are never
- * doubled. Tombstoned runs are never refreshed. Returns true when replaced.
+ * lock and the loser re-evaluates the guard to a no-op. Readers filter docs
+ * by the row's current run_attempt, so any superseded docs this statement's
+ * snapshot could not see (and therefore could not DELETE) stay invisible until
+ * the next refresh garbage-collects them. Tombstoned runs are never refreshed.
+ * Returns true when replaced.
  */
 export async function refreshCollectiveXRunAttempt(
   sql: DbClient,
@@ -209,8 +220,8 @@ export async function refreshCollectiveXRunAttempt(
       RETURNING run_id
     ),
     new_docs AS (
-      INSERT INTO cx_run_docs (run_id, doc)
-      SELECT updated.run_id, entries.value
+      INSERT INTO cx_run_docs (run_id, run_attempt, doc)
+      SELECT updated.run_id, ${run.run_attempt}, entries.value
       FROM updated, jsonb_array_elements((${{ docs } as never}::jsonb)->'docs') AS entries(value)
       RETURNING id
     )
@@ -221,19 +232,25 @@ export async function refreshCollectiveXRunAttempt(
 
 /**
  * Tombstone a run: mark it deleted (so lazy discovery never re-ingests it)
- * and drop its documents to free space. Returns false when the run is absent
- * or already tombstoned. Re-ingesting via the CLI intentionally clears the
- * tombstone (operator override).
+ * and drop its documents to free space — one atomic statement, so a partial
+ * failure can never tombstone the run while leaving its documents orphaned
+ * behind an unretryable 404. Returns false when the run is absent or already
+ * tombstoned. Re-ingesting via the CLI intentionally clears the tombstone
+ * (operator override; its hard DELETE also cascades any leftover docs).
  */
 export async function deleteCollectiveXRun(sql: DbClient, runId: string): Promise<boolean> {
   const rows = await sql`
-    UPDATE cx_runs SET deleted_at = now()
-    WHERE run_id = ${runId} AND deleted_at IS NULL
-    RETURNING run_id::text
+    WITH tombstoned AS (
+      UPDATE cx_runs SET deleted_at = now()
+      WHERE run_id = ${runId} AND deleted_at IS NULL
+      RETURNING run_id
+    ),
+    removed AS (
+      DELETE FROM cx_run_docs WHERE run_id IN (SELECT run_id FROM tombstoned)
+    )
+    SELECT (SELECT count(*)::int FROM tombstoned) AS runs_deleted
   `;
-  if (rows.length === 0) return false;
-  await sql`DELETE FROM cx_run_docs WHERE run_id = ${runId}`;
-  return true;
+  return (rows[0]?.runs_deleted as number) > 0;
 }
 
 /** Assemble a stored run's raw documents into the dashboard dataset. */

From 439a16063d2f766a8266e90ee4fdcfcd23471968 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Fri, 17 Jul 2026 18:13:57 +0800
Subject: [PATCH 19/37] feat(collectivex): surface the low-latency kernel mode
 as a dashboard dimension
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

The sweep now fans decode cases out over a kernel-mode axis (harness commit
bb77c328: DeepEP legacy-Buffer LL + MoRI IntraNodeLL, decode-only), so
case_ids carry mode (normal|low-latency) as a varying factor. The reader
keyed series/coverage on case_id so the modes were already distinct rows,
but labels, color keys, and the selection omitted mode — normal and LL
kernels of one cell collided in the UI.

- types: CollectiveXMode; mode on CollectiveXSeries + CollectiveXCoverage.
- reader: parse case.mode (toMode defaults artifacts without the field to
  normal); thread into series, coverage, and the coverage label.
- data: mode in the series label + color key (distinct legend colors) and
  in the series selection (seriesMatchesSelection requires it).
- display: kernel-mode toggle mirroring the phase/precision idiom, rendered
  only when a run measured both modes (LL is decode-only, so single-mode
  runs keep the current controls); precision availability now cascades
  through the selected mode; Mode column in the inventory and tables
  (reusing the existing zh header strings).
- fixtures + tests: mode override in the shard builder (null models a
  pre-mode artifact), normal/LL split series with distinct color keys and
  labels, mode-toggle e2e; checked-in fixtures regenerated.

COLLECTIVEX_VERSIONS unchanged (sweep.json stays v1; normal-mode case_ids
are identical). Verified against the stored production runs — their case
dicts already carry mode: normal and serve unchanged.
---
 packages/app/cypress/e2e/collectivex.cy.ts    | 17 +++++
 .../fixtures/api/collectivex-latest.json      | 18 +++--
 .../collectivex/CollectiveXDisplay.tsx        | 65 +++++++++++++++++--
 .../collectivex/CollectiveXInventory.tsx      |  5 ++
 .../collectivex/CollectiveXTables.tsx         |  5 ++
 .../src/components/collectivex/data.test.ts   | 22 +++++--
 .../app/src/components/collectivex/data.ts    |  7 +-
 packages/db/src/collectivex/reader.test.ts    | 27 +++++++-
 packages/db/src/collectivex/reader.ts         | 13 +++-
 packages/db/src/collectivex/test-fixture.ts   |  7 +-
 packages/db/src/collectivex/types.ts          |  4 ++
 11 files changed, 166 insertions(+), 24 deletions(-)

diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index 0d71b3b18..eb43de18f 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -90,6 +90,23 @@ describe('CollectiveX neutral run view', () => {
     cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
   });
 
+  it('exposes the kernel-mode toggle when a run measured both modes and pins the LL series', () => {
+    const withLowLatency = buildDataset({
+      shards: [makeRawShard(), makeRawShard({ mode: 'low-latency' })],
+    });
+    installLatest(withLowLatency);
+    cy.reload();
+    cy.wait('@latest');
+
+    cy.get('[data-testid="collectivex-mode-toggle"]').should('be.visible');
+    cy.get('[data-testid="collectivex-main-chart"]').should('contain.text', 'deepep-v2');
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
+
+    cy.get('[data-testid="collectivex-mode-toggle"]').contains('Low-latency').click();
+    cy.get('[data-testid="chart-legend"]').should('contain.text', 'low-latency');
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
+  });
+
   it('selects the available phase when a partial run only measured prefill', () => {
     const prefill = buildDataset({ shards: [makeRawShard({ phase: 'prefill' })] });
     installLatest(prefill);
diff --git a/packages/app/cypress/fixtures/api/collectivex-latest.json b/packages/app/cypress/fixtures/api/collectivex-latest.json
index de20a36d1..8d273f72b 100644
--- a/packages/app/cypress/fixtures/api/collectivex-latest.json
+++ b/packages/app/cypress/fixtures/api/collectivex-latest.json
@@ -19,11 +19,12 @@
   "coverage": [
     {
       "case_id": "h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-bf16",
-      "label": "h200-dgxc · deepep-v2 · decode · EP8 · bf16",
+      "label": "h200-dgxc · deepep-v2 · normal · decode · EP8 · bf16",
       "disposition": "runnable",
       "sku": "h200-dgxc",
       "backend": "deepep-v2",
       "phase": "decode",
+      "mode": "normal",
       "precision": "bf16",
       "topology": {
         "ep_size": 8,
@@ -102,11 +103,12 @@
     },
     {
       "case_id": "mi355x-mori-deepseek-v3-normal-decode-ep16-uniform-bf16",
-      "label": "mi355x · mori · decode · EP16 · bf16",
+      "label": "mi355x · mori · normal · decode · EP16 · bf16",
       "disposition": "runnable",
       "sku": "mi355x",
       "backend": "mori",
       "phase": "decode",
+      "mode": "normal",
       "precision": "bf16",
       "topology": {
         "ep_size": 16,
@@ -185,11 +187,12 @@
     },
     {
       "case_id": "h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-fp8",
-      "label": "h200-dgxc · deepep-v2 · decode · EP8 · fp8",
+      "label": "h200-dgxc · deepep-v2 · normal · decode · EP8 · fp8",
       "disposition": "runnable",
       "sku": "h200-dgxc",
       "backend": "deepep-v2",
       "phase": "decode",
+      "mode": "normal",
       "precision": "fp8",
       "topology": {
         "ep_size": 8,
@@ -268,11 +271,12 @@
     },
     {
       "case_id": "b300-deepep-v2-deepseek-v3-normal-decode-ep16-uniform-bf16",
-      "label": "b300 · deepep-v2 · decode · EP16 · bf16",
+      "label": "b300 · deepep-v2 · normal · decode · EP16 · bf16",
       "disposition": "unsupported",
       "sku": "b300",
       "backend": "deepep-v2",
       "phase": "decode",
+      "mode": "normal",
       "precision": "bf16",
       "topology": {
         "ep_size": 16,
@@ -351,11 +355,12 @@
     },
     {
       "case_id": "b200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-bf16",
-      "label": "b200-dgxc · deepep-v2 · decode · EP8 · bf16",
+      "label": "b200-dgxc · deepep-v2 · normal · decode · EP8 · bf16",
       "disposition": "runnable",
       "sku": "b200-dgxc",
       "backend": "deepep-v2",
       "phase": "decode",
+      "mode": "normal",
       "precision": "bf16",
       "topology": {
         "ep_size": 8,
@@ -437,6 +442,7 @@
     {
       "series_id": "h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-bf16",
       "phase": "decode",
+      "mode": "normal",
       "precision": "bf16",
       "backend": "deepep-v2",
       "system": {
@@ -1136,6 +1142,7 @@
     {
       "series_id": "mi355x-mori-deepseek-v3-normal-decode-ep16-uniform-bf16",
       "phase": "decode",
+      "mode": "normal",
       "precision": "bf16",
       "backend": "mori",
       "system": {
@@ -1835,6 +1842,7 @@
     {
       "series_id": "h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-fp8",
       "phase": "decode",
+      "mode": "normal",
       "precision": "fp8",
       "backend": "deepep-v2",
       "system": {
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index 1f2cdb7a3..273becfbc 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -38,6 +38,7 @@ import {
   COLLECTIVEX_VERSIONS,
   COLLECTIVEX_DEFAULT_VERSION,
   collectiveXVersionLabel,
+  type CollectiveXMode,
   type CollectiveXOperation,
   type CollectiveXPercentile,
   type CollectiveXPhase,
@@ -71,6 +72,7 @@ const STRINGS = {
     },
     phase: { decode: 'Decode', prefill: 'Prefill' },
     phaseValue: { decode: 'decode', prefill: 'prefill' },
+    mode: { normal: 'Normal', 'low-latency': 'Low-latency' },
     precision: { bf16: 'BF16', fp8: 'FP8' },
     yAxis: {
       latency: 'Latency',
@@ -99,6 +101,8 @@ const STRINGS = {
     operationControl: 'Operation',
     phaseControl: 'Phase',
     phaseAria: 'CollectiveX phase',
+    modeControl: 'Kernel mode',
+    modeAria: 'CollectiveX kernel mode',
     precisionControl: 'Precision',
     precisionAria: 'CollectiveX precision',
     latencyPercentile: 'Latency percentile',
@@ -308,6 +312,9 @@ export default function CollectiveXDisplay() {
   const [epSize, setEpSize] = useState(8);
   const [operation, setOperation] = useState<CollectiveXOperation>('roundtrip');
   const [phase, setPhase] = useState<CollectiveXPhase>('decode');
+  // Normal (throughput) kernels are the baseline; the availability effect
+  // below falls back when a slice only measured low-latency kernels.
+  const [mode, setMode] = useState<CollectiveXMode>('normal');
   // Prefer FP8 when the run measured it; the availability effect below falls
   // back to bf16 for runs (or EP/phase slices) without FP8 series.
   const [precision, setPrecision] = useState<CollectiveXPrecision>('fp8');
@@ -378,16 +385,36 @@ export default function CollectiveXDisplay() {
     value,
     label: t.phase[value],
   }));
-  const availablePrecisions = useMemo(
+  const availableModes = useMemo(
     () =>
       [
         ...new Set(
           dataset?.series
             .filter((item) => item.system.ep_size === epSize && item.phase === phase)
+            .map((item) => item.mode),
+        ),
+      ].toSorted((left, right) =>
+        left === right ? 0 : left === 'normal' ? -1 : right === 'normal' ? 1 : 0,
+      ),
+    [dataset?.series, epSize, phase],
+  );
+  const modeOptions: SegmentedToggleOption<CollectiveXMode>[] = availableModes.map((value) => ({
+    value,
+    label: t.mode[value],
+  }));
+  const availablePrecisions = useMemo(
+    () =>
+      [
+        ...new Set(
+          dataset?.series
+            .filter(
+              (item) =>
+                item.system.ep_size === epSize && item.phase === phase && item.mode === mode,
+            )
             .map((item) => item.precision),
         ),
       ].toSorted(),
-    [dataset?.series, epSize, phase],
+    [dataset?.series, epSize, mode, phase],
   );
   const precisionOptions: SegmentedToggleOption<CollectiveXPrecision>[] = availablePrecisions.map(
     (value) => ({ value, label: t.precision[value] }),
@@ -399,15 +426,27 @@ export default function CollectiveXDisplay() {
     if (availablePhases.length > 0 && !availablePhases.includes(phase)) {
       setPhase(availablePhases[0]);
     }
+    if (availableModes.length > 0 && !availableModes.includes(mode)) {
+      setMode(availableModes[0]);
+    }
     if (availablePrecisions.length > 0 && !availablePrecisions.includes(precision)) {
       setPrecision(availablePrecisions[0]);
     }
-  }, [availableEpSizes, availablePhases, availablePrecisions, epSize, phase, precision]);
+  }, [
+    availableEpSizes,
+    availableModes,
+    availablePhases,
+    availablePrecisions,
+    epSize,
+    mode,
+    phase,
+    precision,
+  ]);
   const seriesSelection = useMemo<CollectiveXSeriesSelection>(
-    () => ({ epSize, phase, precision }),
-    [epSize, phase, precision],
+    () => ({ epSize, phase, mode, precision }),
+    [epSize, mode, phase, precision],
   );
-  // SKU and EP determine topology; V1 fixes mode and routing. Only EP, phase,
+  // SKU and EP determine topology; V1 fixes routing. EP, phase, kernel mode,
   // and precision are needed before the library/SKU comparison filters.
   const matchedSeries = useMemo(
     () => (dataset?.series ?? []).filter((item) => seriesMatchesSelection(item, seriesSelection)),
@@ -796,6 +835,20 @@ export default function CollectiveXDisplay() {
               testId="collectivex-phase-toggle"
             />
           </ControlGroup>
+          {availableModes.length > 1 && (
+            <ControlGroup label={t.modeControl}>
+              <SegmentedToggle
+                value={mode}
+                options={modeOptions}
+                onValueChange={(next) => {
+                  setMode(next);
+                  track('collectivex_mode_changed', { mode: next });
+                }}
+                ariaLabel={t.modeAria}
+                testId="collectivex-mode-toggle"
+              />
+            </ControlGroup>
+          )}
           <ControlGroup label={t.precisionControl}>
             <SegmentedToggle
               value={precision}
diff --git a/packages/app/src/components/collectivex/CollectiveXInventory.tsx b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
index 2a8f8cddd..7b854379d 100644
--- a/packages/app/src/components/collectivex/CollectiveXInventory.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
@@ -85,6 +85,11 @@ export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset
         cell: (row) => row.phase,
         sortValue: (row) => row.phase,
       },
+      {
+        header: 'Mode',
+        cell: (row) => row.mode,
+        sortValue: (row) => row.mode,
+      },
       {
         header: 'Precision',
         cell: (row) => row.precision,
diff --git a/packages/app/src/components/collectivex/CollectiveXTables.tsx b/packages/app/src/components/collectivex/CollectiveXTables.tsx
index edaf11123..14c5843ea 100644
--- a/packages/app/src/components/collectivex/CollectiveXTables.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXTables.tsx
@@ -212,6 +212,11 @@ export function CollectiveXCoverageTable({ coverage }: { coverage: CollectiveXCo
         cell: (row) => t.phase[row.phase],
         sortValue: (row) => t.phase[row.phase],
       },
+      {
+        header: t.modeHeader,
+        cell: (row) => row.mode,
+        sortValue: (row) => row.mode,
+      },
       {
         header: t.precisionHeader,
         cell: (row) => row.precision,
diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
index 5422a2a9e..eb2059fc3 100644
--- a/packages/app/src/components/collectivex/data.test.ts
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -32,17 +32,19 @@ describe('collectiveXTopologyLabel', () => {
 
 describe('collectiveXSeriesLabel', () => {
   it('renders the varying identity axes of a series', () => {
-    expect(collectiveXSeriesLabel(scaleUp)).toBe('H200-DGXC · deepep-v2 · EP8 · decode · bf16');
+    expect(collectiveXSeriesLabel(scaleUp)).toBe(
+      'H200-DGXC · deepep-v2 · EP8 · normal · decode · bf16',
+    );
   });
 
   it('distinguishes the dispatch precision', () => {
     expect(collectiveXSeriesLabel(makeCollectiveXSeries({ precision: 'fp8' }))).toBe(
-      'H200-DGXC · deepep-v2 · EP8 · decode · fp8',
+      'H200-DGXC · deepep-v2 · EP8 · normal · decode · fp8',
     );
   });
 
-  it('shows the selected EP degree and phase', () => {
-    expect(collectiveXSeriesLabel(scaleOut)).toContain('EP16 · decode');
+  it('shows the selected EP degree, mode, and phase', () => {
+    expect(collectiveXSeriesLabel(scaleOut)).toContain('EP16 · normal · decode');
   });
 });
 
@@ -66,6 +68,12 @@ describe('collectiveXColorKey', () => {
     expect(collectiveXColorKey(bf16)).not.toBe(collectiveXColorKey(fp8));
   });
 
+  it('assigns distinct keys to normal and low-latency series of one configuration', () => {
+    const normal = makeCollectiveXSeries();
+    const lowLatency = makeCollectiveXSeries({ mode: 'low-latency' });
+    expect(collectiveXColorKey(normal)).not.toBe(collectiveXColorKey(lowLatency));
+  });
+
   it('leads with the system vendor so getVendor places series in vendor hue zones', () => {
     // The chart color system reads the first "_"-separated token to classify the
     // vendor (NVIDIA greens, AMD reds), matching the InferenceX charts.
@@ -79,16 +87,18 @@ describe('seriesMatchesSelection', () => {
   const base: CollectiveXSeriesSelection = {
     epSize: 8,
     phase: 'decode',
+    mode: 'normal',
     precision: 'bf16',
   };
 
-  it('matches on EP size, phase, and precision', () => {
+  it('matches on EP size, phase, mode, and precision', () => {
     expect(seriesMatchesSelection(scaleUp, base)).toBe(true);
   });
 
-  it('rejects a series whose EP, phase, or precision differs from the selection', () => {
+  it('rejects a series whose EP, phase, mode, or precision differs from the selection', () => {
     expect(seriesMatchesSelection(scaleUp, { ...base, epSize: 16 })).toBe(false);
     expect(seriesMatchesSelection(scaleUp, { ...base, phase: 'prefill' })).toBe(false);
+    expect(seriesMatchesSelection(scaleUp, { ...base, mode: 'low-latency' })).toBe(false);
     expect(seriesMatchesSelection(scaleUp, { ...base, precision: 'fp8' })).toBe(false);
   });
 });
diff --git a/packages/app/src/components/collectivex/data.ts b/packages/app/src/components/collectivex/data.ts
index 9231b32e0..faa046d38 100644
--- a/packages/app/src/components/collectivex/data.ts
+++ b/packages/app/src/components/collectivex/data.ts
@@ -1,6 +1,7 @@
 import type {
   CollectiveXChartPoint,
   CollectiveXComponent,
+  CollectiveXMode,
   CollectiveXOperation,
   CollectiveXPercentile,
   CollectiveXPhase,
@@ -13,6 +14,7 @@ import type {
 export interface CollectiveXSeriesSelection {
   epSize: number;
   phase: CollectiveXPhase;
+  mode: CollectiveXMode;
   precision: CollectiveXPrecision;
 }
 
@@ -34,11 +36,11 @@ export function collectiveXTopologyLabel(
 }
 
 export function collectiveXSeriesLabel(series: CollectiveXSeries): string {
-  return `${series.system.sku.toUpperCase()} · ${series.backend} · EP${series.system.ep_size} · ${series.phase} · ${series.precision}`;
+  return `${series.system.sku.toUpperCase()} · ${series.backend} · EP${series.system.ep_size} · ${series.mode} · ${series.phase} · ${series.precision}`;
 }
 
 export function collectiveXColorKey(series: CollectiveXSeries): string {
-  return `${series.system.vendor}_${series.system.sku}_${series.backend}_ep${series.system.ep_size}_${series.phase}_${series.precision}`;
+  return `${series.system.vendor}_${series.system.sku}_${series.backend}_ep${series.system.ep_size}_${series.mode}_${series.phase}_${series.precision}`;
 }
 
 export function seriesMatchesSelection(
@@ -48,6 +50,7 @@ export function seriesMatchesSelection(
   return (
     series.system.ep_size === selection.epSize &&
     series.phase === selection.phase &&
+    series.mode === selection.mode &&
     series.precision === selection.precision
   );
 }
diff --git a/packages/db/src/collectivex/reader.test.ts b/packages/db/src/collectivex/reader.test.ts
index 61dbf3ecd..75995e0c4 100644
--- a/packages/db/src/collectivex/reader.test.ts
+++ b/packages/db/src/collectivex/reader.test.ts
@@ -56,7 +56,7 @@ describe('CollectiveX artifact assembly', () => {
     expect(new Set(h200.map((series) => series.series_id)).size).toBe(2);
     expect(dataset.coverage.find((row) => row.precision === 'fp8')).toMatchObject({
       case_id: 'h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-fp8',
-      label: 'h200-dgxc · deepep-v2 · decode · EP8 · fp8',
+      label: 'h200-dgxc · deepep-v2 · normal · decode · EP8 · fp8',
     });
     expect(
       dataset.coverage.find(
@@ -64,7 +64,7 @@ describe('CollectiveX artifact assembly', () => {
       ),
     ).toMatchObject({
       precision: 'bf16',
-      label: 'h200-dgxc · deepep-v2 · decode · EP8 · bf16',
+      label: 'h200-dgxc · deepep-v2 · normal · decode · EP8 · bf16',
     });
   });
 
@@ -76,10 +76,31 @@ describe('CollectiveX artifact assembly', () => {
     expect(dataset.series[0].precision).toBe('bf16');
     expect(dataset.coverage[0]).toMatchObject({
       precision: 'bf16',
-      label: 'h200-dgxc · deepep-v2 · decode · EP8 · bf16',
+      label: 'h200-dgxc · deepep-v2 · normal · decode · EP8 · bf16',
     });
   });
 
+  it('keeps normal and low-latency measurements of one cell as distinct labeled cases', () => {
+    const dataset = buildDataset({
+      shards: [makeRawShard(), makeRawShard({ mode: 'low-latency' })],
+    });
+    expect(new Set(dataset.series.map((series) => series.series_id)).size).toBe(2);
+    expect(dataset.series.map((series) => series.mode).toSorted()).toEqual([
+      'low-latency',
+      'normal',
+    ]);
+    expect(dataset.coverage.find((row) => row.mode === 'low-latency')).toMatchObject({
+      case_id: 'h200-dgxc-deepep-v2-deepseek-v3-low-latency-decode-ep8-uniform-bf16',
+      label: 'h200-dgxc · deepep-v2 · low-latency · decode · EP8 · bf16',
+    });
+  });
+
+  it('defaults pre-LL artifacts without a mode field to normal kernels', () => {
+    const dataset = buildDataset({ shards: [makeRawShard({ mode: null })] });
+    expect(dataset.series[0].mode).toBe('normal');
+    expect(dataset.coverage[0].mode).toBe('normal');
+  });
+
   it('ignores non-result documents', () => {
     const shard = makeRawShard();
     const dataset = buildDatasetFromNeutral(
diff --git a/packages/db/src/collectivex/reader.ts b/packages/db/src/collectivex/reader.ts
index 7584bd870..5c014d4bc 100644
--- a/packages/db/src/collectivex/reader.ts
+++ b/packages/db/src/collectivex/reader.ts
@@ -15,6 +15,7 @@ import type {
   CollectiveXCoverage,
   CollectiveXCoveragePoint,
   CollectiveXDataset,
+  CollectiveXMode,
   CollectiveXOutcome,
   CollectiveXPercentiles,
   CollectiveXPoint,
@@ -31,6 +32,7 @@ interface RawCase {
   gpus_per_node: number;
   ladder: string;
   nodes: number;
+  mode?: string;
   phase: string;
   precision?: string;
   topology_class: string;
@@ -117,6 +119,12 @@ function toPrecision(raw: string | undefined): CollectiveXPrecision {
   return raw === 'fp8' ? 'fp8' : 'bf16';
 }
 
+// Artifacts predating the low-latency kernel dimension carry no mode field
+// and were all measured with the normal (throughput) kernels.
+function toMode(raw: string | undefined): CollectiveXMode {
+  return raw === 'low-latency' ? 'low-latency' : 'normal';
+}
+
 function ratesFrom(bytes: number, latency: CollectiveXPercentiles): CollectiveXPercentiles {
   const rate = (us: number) => (bytes / us) * 1e-3;
   return {
@@ -172,6 +180,7 @@ function buildSeries(shard: RawShard): CollectiveXSeries {
   return {
     series_id: shard.identity.case_id,
     phase: kase.phase === 'prefill' ? 'prefill' : 'decode',
+    mode: toMode(kase.mode),
     precision: toPrecision(kase.precision),
     backend: shard.implementation.name,
     system: {
@@ -280,15 +289,17 @@ export function buildDatasetFromNeutral(
       reason = 'pending';
       points = terminalPoints(kase, 'pending', reason);
     }
+    const mode = toMode(kase.mode);
     const precision = toPrecision(kase.precision);
     return [
       {
         case_id: caseId,
-        label: `${requested.sku} · ${kase.backend} · ${kase.phase} · EP${kase.ep} · ${precision}`,
+        label: `${requested.sku} · ${kase.backend} · ${mode} · ${kase.phase} · EP${kase.ep} · ${precision}`,
         disposition: requested.disposition,
         sku: requested.sku,
         backend: kase.backend,
         phase: kase.phase === 'prefill' ? 'prefill' : 'decode',
+        mode,
         precision,
         topology: topologyOf(kase),
         points,
diff --git a/packages/db/src/collectivex/test-fixture.ts b/packages/db/src/collectivex/test-fixture.ts
index f2b9ad867..513845967 100644
--- a/packages/db/src/collectivex/test-fixture.ts
+++ b/packages/db/src/collectivex/test-fixture.ts
@@ -24,6 +24,8 @@ export interface ShardOverrides {
   implName?: string;
   ep?: number;
   phase?: string;
+  /** null models a pre-LL artifact: no mode field (the case_id keeps `normal`). */
+  mode?: string | null;
   /** null models a pre-FP8 artifact: no precision field and no case_id suffix. */
   precision?: string | null;
   scaleUpTransport?: string;
@@ -88,6 +90,7 @@ function makeRawCase(options: ShardOverrides, caseId: string): Json {
     gpus_per_node: options.gpusPerNode ?? 8,
     ladder: options.ladder ?? TOKEN_LADDERS[phase],
     nodes: options.nodes ?? 1,
+    ...(options.mode === null ? {} : { mode: options.mode ?? 'normal' }),
     phase,
     ...(options.precision === null ? {} : { precision: options.precision ?? 'bf16' }),
     topology_class: options.topologyClass ?? 'h200-nvlink-island',
@@ -100,8 +103,10 @@ function makeRawCase(options: ShardOverrides, caseId: string): Json {
 export function caseIdOf(options: ShardOverrides = {}): string {
   if (options.caseId) return options.caseId;
   const tail = options.variant ? `-${options.variant}` : '';
+  // Pre-LL artifacts (mode: null) still carried `normal` in their case_ids.
+  const mode = options.mode === null ? 'normal' : (options.mode ?? 'normal');
   const precision = options.precision === null ? '' : `-${options.precision ?? 'bf16'}`;
-  return `${options.sku ?? 'h200-dgxc'}-${options.backend ?? 'deepep-v2'}-${options.workload ?? 'deepseek-v3'}-normal-${options.phase ?? 'decode'}-ep${options.ep ?? 8}-uniform${precision}${tail}`;
+  return `${options.sku ?? 'h200-dgxc'}-${options.backend ?? 'deepep-v2'}-${options.workload ?? 'deepseek-v3'}-${mode}-${options.phase ?? 'decode'}-ep${options.ep ?? 8}-uniform${precision}${tail}`;
 }
 
 export function makeRawShard(options: ShardOverrides = {}): Json {
diff --git a/packages/db/src/collectivex/types.ts b/packages/db/src/collectivex/types.ts
index 7955a49ec..b651ab4c9 100644
--- a/packages/db/src/collectivex/types.ts
+++ b/packages/db/src/collectivex/types.ts
@@ -9,6 +9,8 @@
 
 export type CollectiveXPhase = 'decode' | 'prefill';
 export type CollectiveXPrecision = 'bf16' | 'fp8';
+/** Kernel mode: throughput-oriented `normal`, or decode-only `low-latency`. */
+export type CollectiveXMode = 'normal' | 'low-latency';
 export const COLLECTIVEX_VERSIONS = [1] as const;
 export type CollectiveXVersion = (typeof COLLECTIVEX_VERSIONS)[number];
 export const COLLECTIVEX_DEFAULT_VERSION: CollectiveXVersion = COLLECTIVEX_VERSIONS.at(-1)!;
@@ -58,6 +60,7 @@ export interface CollectiveXTopology {
 export interface CollectiveXSeries {
   series_id: string;
   phase: CollectiveXPhase;
+  mode: CollectiveXMode;
   precision: CollectiveXPrecision;
   backend: string;
   system: CollectiveXTopology & {
@@ -81,6 +84,7 @@ export interface CollectiveXCoverage {
   sku: string;
   backend: string;
   phase: CollectiveXPhase;
+  mode: CollectiveXMode;
   precision: CollectiveXPrecision;
   topology: CollectiveXTopology;
   points: CollectiveXCoveragePoint[];

From 2da4a9f33bd47cacb09155d186d294711e4d1da3 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Fri, 24 Jul 2026 18:09:15 +0800
Subject: [PATCH 20/37] feat(collectivex): add per-GPU payload-bandwidth y-axis
 and nccl-ep coverage

Add a payload-bandwidth y-axis (total logical payload bytes / ep / latency,
per GPU) alongside the existing aggregate activation-rate axis, and surface a
per-series latency-vs-bytes fit (beta = per-GPU bandwidth term, alpha = fixed
overhead) in the chart tooltip. The neutral contract gains payload_bytes and
payload_data_rate_gbps_at_latency_percentile; the reader computes both from
total_logical_bytes, falling back to activation bytes for pre-provenance runs.

nccl-ep (the 4th pluggable EP backend) already flows through the data-driven
pipeline unchanged; lock it in with reader and cypress e2e coverage.
---
 packages/app/cypress/e2e/collectivex.cy.ts    |   18 +
 .../fixtures/api/collectivex-latest.json      | 1080 +++++++++++++++--
 .../collectivex/CollectiveXChart.tsx          |   15 +-
 .../collectivex/CollectiveXDisplay.tsx        |   13 +
 .../src/components/collectivex/data.test.ts   |   74 +-
 .../app/src/components/collectivex/data.ts    |   64 +
 .../app/src/components/collectivex/types.ts   |    2 +-
 packages/db/src/collectivex/reader.test.ts    |   22 +
 packages/db/src/collectivex/reader.ts         |   30 +-
 packages/db/src/collectivex/test-fixture.ts   |   14 +-
 packages/db/src/collectivex/types.ts          |   15 +
 11 files changed, 1213 insertions(+), 134 deletions(-)

diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index eb43de18f..cf40502fe 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -90,6 +90,24 @@ describe('CollectiveX neutral run view', () => {
     cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
   });
 
+  it('renders an nccl-ep backend series end to end', () => {
+    const ncclEp = buildDataset({
+      shards: [makeRawShard({ backend: 'nccl-ep', implName: 'nccl-ep' })],
+    });
+    installLatest(ncclEp);
+    cy.reload();
+    cy.wait('@latest');
+    cy.get('[data-testid="collectivex-main-chart"]').should('contain.text', 'nccl-ep');
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
+  });
+
+  it('switches the y-axis to per-GPU payload bandwidth', () => {
+    cy.get('[data-testid="collectivex-y-axis-select"]').click();
+    cy.contains('[role="option"]', 'Payload bandwidth').click();
+    cy.get('[data-testid="collectivex-main-chart"]').should('contain.text', 'Payload bandwidth');
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
+  });
+
   it('exposes the kernel-mode toggle when a run measured both modes and pins the LL series', () => {
     const withLowLatency = buildDataset({
       shards: [makeRawShard(), makeRawShard({ mode: 'low-latency' })],
diff --git a/packages/app/cypress/fixtures/api/collectivex-latest.json b/packages/app/cypress/fixtures/api/collectivex-latest.json
index 8d273f72b..60e36800c 100644
--- a/packages/app/cypress/fixtures/api/collectivex-latest.json
+++ b/packages/app/cypress/fixtures/api/collectivex-latest.json
@@ -473,7 +473,14 @@
                 "p90": 854.3474198419042,
                 "p95": 823.8350119904076,
                 "p99": 768.9126778577139
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 119.90407673860912,
+                "p90": 111.02229327648992,
+                "p95": 107.05721137375814,
+                "p99": 99.92006394884093
+              },
+              "payload_bytes": 400000000
             },
             "stage": {
               "latency_us": {
@@ -487,7 +494,14 @@
                 "p90": 1484.4286419753084,
                 "p95": 1431.4133333333332,
                 "p99": 1335.9857777777777
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 200.3978666666667,
+                "p90": 185.55358024691355,
+                "p95": 178.92666666666665,
+                "p99": 166.9982222222222
+              },
+              "payload_bytes": 192381952
             },
             "combine": {
               "latency_us": {
@@ -501,7 +515,14 @@
                 "p90": 908.8338624338625,
                 "p95": 876.3755102040816,
                 "p99": 817.9504761904763
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 122.69257142857144,
+                "p90": 113.60423280423281,
+                "p95": 109.5469387755102,
+                "p99": 102.24380952380953
+              },
+              "payload_bytes": 384763904
             },
             "roundtrip": {
               "latency_us": {
@@ -515,7 +536,14 @@
                 "p90": 773.6435919089556,
                 "p95": 746.0134636264928,
                 "p99": 696.27923271806
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 106.50975895765473,
+                "p90": 98.62014718301363,
+                "p95": 95.09799906933456,
+                "p99": 88.75813246471228
+              },
+              "payload_bytes": 784763904
             }
           },
           "roundtrip_token_rate_at_latency_percentile": {
@@ -541,7 +569,14 @@
                 "p90": 852.3035264930002,
                 "p95": 821.8641148325358,
                 "p99": 767.0731738437003
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 119.61722488038276,
+                "p90": 110.75668970405812,
+                "p95": 106.8010936431989,
+                "p99": 99.68102073365232
+              },
+              "payload_bytes": 400000000
             },
             "stage": {
               "latency_us": {
@@ -555,7 +590,14 @@
                 "p90": 1472.1606366697276,
                 "p95": 1419.58347107438,
                 "p99": 1324.944573002755
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 198.74168595041323,
+                "p90": 184.02007958371595,
+                "p95": 177.4479338842975,
+                "p99": 165.61807162534438
+              },
+              "payload_bytes": 192381952
             },
             "combine": {
               "latency_us": {
@@ -569,7 +611,14 @@
                 "p90": 906.5213080765243,
                 "p95": 874.1455470737912,
                 "p99": 815.869177268872
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 122.3803765903308,
+                "p90": 113.31516350956554,
+                "p95": 109.2681933842239,
+                "p99": 101.983647158609
+              },
+              "payload_bytes": 384763904
             },
             "roundtrip": {
               "latency_us": {
@@ -583,7 +632,14 @@
                 "p90": 772.8044990760825,
                 "p95": 745.2043383947938,
                 "p99": 695.5240491684744
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 106.39423861171366,
+                "p90": 98.51318389973487,
+                "p95": 94.99485590331577,
+                "p99": 88.6618655097614
+              },
+              "payload_bytes": 784763904
             }
           },
           "roundtrip_token_rate_at_latency_percentile": {
@@ -609,7 +665,14 @@
                 "p90": 850.2693891982674,
                 "p95": 819.9026252983293,
                 "p99": 765.2424502784409
-              }
+              },
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+                "p95": 175.9934426229508,
+                "p99": 164.26054644808744
+              },
+              "payload_bytes": 192381952
             },
             "combine": {
               "latency_us": {
@@ -2037,7 +2667,14 @@
                 "p90": 904.2204925737921,
                 "p95": 871.9269035532996,
                 "p99": 813.798443316413
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 122.06976649746193,
+                "p90": 113.02756157172401,
+                "p95": 108.99086294416244,
+                "p99": 101.72480541455162
+              },
+              "payload_bytes": 384763904
             },
             "roundtrip": {
               "latency_us": {
@@ -2051,7 +2688,14 @@
                 "p90": 771.9672244291962,
                 "p95": 744.3969664138677,
                 "p99": 694.7705019862767
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 106.27896858071506,
+                "p90": 98.40645238955098,
+                "p95": 94.8919362327813,
+                "p99": 88.5658071505959
+              },
+              "payload_bytes": 784763904
             }
           },
           "roundtrip_token_rate_at_latency_percentile": {
@@ -2077,7 +2721,14 @@
                 "p90": 848.244938271605,
                 "p95": 817.9504761904761,
                 "p99": 763.4204444444445
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 119.04761904761905,
+                "p90": 110.22927689594357,
+                "p95": 106.29251700680271,
+                "p99": 99.2063492063492
+              },
+              "payload_bytes": 400000000
             },
             "stage": {
               "latency_us": {
@@ -2091,7 +2742,14 @@
                 "p90": 1448.2230653417646,
                 "p95": 1396.5008130081299,
                 "p99": 1303.400758807588
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 195.51011382113822,
+                "p90": 181.02788316772057,
+                "p95": 174.56260162601623,
+                "p99": 162.9250948509485
+              },
+              "payload_bytes": 192381952
             },
             "combine": {
               "latency_us": {
@@ -2105,7 +2763,14 @@
                 "p90": 901.9313267698077,
                 "p95": 869.7194936708861,
                 "p99": 811.738194092827
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 121.76072911392406,
+                "p90": 112.74141584622596,
+                "p95": 108.71493670886076,
+                "p99": 101.46727426160338
+              },
+              "payload_bytes": 384763904
             },
             "roundtrip": {
               "latency_us": {
@@ -2119,7 +2784,14 @@
                 "p90": 771.1317620650954,
                 "p95": 743.5913419913419,
                 "p99": 694.0185858585859
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 106.16394805194805,
+                "p90": 98.29995189995189,
+                "p95": 94.78923933209646,
+                "p99": 88.4699567099567
+              },
+              "payload_bytes": 784763904
             }
           },
           "roundtrip_token_rate_at_latency_percentile": {
@@ -2145,7 +2817,14 @@
                 "p90": 846.230104689012,
                 "p95": 816.0076009501188,
                 "p99": 761.607094220111
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 118.76484560570071,
+                "p90": 109.96744963490808,
+                "p95": 106.04004071937563,
+                "p99": 98.97070467141727
+              },
+              "payload_bytes": 400000000
             },
             "stage": {
               "latency_us": {
@@ -2159,7 +2838,14 @@
                 "p90": 1436.543847072879,
                 "p95": 1385.2387096774191,
                 "p99": 1292.8894623655915
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 193.9334193548387,
+                "p90": 179.5679808841099,
+                "p95": 173.1548387096774,
+                "p99": 161.61118279569894
+              },
+              "payload_bytes": 192381952
             },
             "combine": {
               "latency_us": {
@@ -2173,7 +2859,14 @@
                 "p90": 899.653722409278,
                 "p95": 867.5232323232323,
                 "p99": 809.6883501683502
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 121.45325252525252,
+                "p90": 112.45671530115975,
+                "p95": 108.44040404040403,
+                "p99": 101.21104377104378
+              },
+              "payload_bytes": 384763904
             },
             "roundtrip": {
               "latency_us": {
@@ -2187,7 +2880,14 @@
                 "p90": 770.298106106106,
                 "p95": 742.7874594594595,
                 "p99": 693.2682954954955
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 106.04917621621622,
+                "p90": 98.19368168168167,
+                "p95": 94.68676447876449,
+                "p99": 88.37431351351351
+              },
+              "payload_bytes": 784763904
             }
           },
           "roundtrip_token_rate_at_latency_percentile": {
@@ -2213,7 +2913,14 @@
                 "p90": 844.2248200807443,
                 "p95": 814.0739336492891,
                 "p99": 759.8023380726698
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 118.48341232227487,
+                "p90": 109.70686326136563,
+                "p95": 105.78876100203114,
+                "p99": 98.73617693522907
+              },
+              "payload_bytes": 400000000
             },
             "stage": {
               "latency_us": {
@@ -2227,7 +2934,14 @@
                 "p90": 1425.0514962962964,
                 "p95": 1374.1568,
                 "p99": 1282.5463466666668
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 192.38195199999998,
+                "p90": 178.13143703703705,
+                "p95": 171.7696,
+                "p99": 160.31829333333334
+              },
+              "payload_bytes": 192381952
             },
             "combine": {
               "latency_us": {
@@ -2241,7 +2955,14 @@
                 "p90": 897.387592126131,
                 "p95": 865.3380352644836,
                 "p99": 807.648832913518
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 121.1473249370277,
+                "p90": 112.17344901576638,
+                "p95": 108.16725440806044,
+                "p99": 100.95610411418976
+              },
+              "payload_bytes": 384763904
             },
             "roundtrip": {
               "latency_us": {
@@ -2255,7 +2976,14 @@
                 "p90": 769.466250699944,
                 "p95": 741.9853131749459,
                 "p99": 692.5196256299496
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 105.93465226781858,
+                "p90": 98.0876409887209,
+                "p95": 94.58451095340943,
+                "p99": 88.2788768898488
+              },
+              "payload_bytes": 784763904
             }
           },
           "roundtrip_token_rate_at_latency_percentile": {
@@ -2281,7 +3009,14 @@
                 "p90": 842.2290167235793,
                 "p95": 812.1494089834514,
                 "p99": 758.0061150512215
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 118.2033096926714,
+                "p90": 109.44750897469572,
+                "p95": 105.5386693684566,
+                "p99": 98.50275807722618
+              },
+              "payload_bytes": 400000000
             },
             "stage": {
               "latency_us": {
@@ -2295,7 +3030,14 @@
                 "p90": 1413.741563786008,
                 "p95": 1363.2507936507936,
                 "p99": 1272.3674074074074
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 190.8551111111111,
+                "p90": 176.717695473251,
+                "p95": 170.4063492063492,
+                "p99": 159.04592592592593
+              },
+              "payload_bytes": 192381952
             },
             "combine": {
               "latency_us": {
@@ -2309,7 +3051,14 @@
                 "p90": 895.1328494323469,
                 "p95": 863.1638190954774,
                 "p99": 805.6195644891122
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 120.84293467336684,
+                "p90": 111.89160617904336,
+                "p95": 107.89547738693467,
+                "p99": 100.70244556113903
+              },
+              "payload_bytes": 384763904
             },
             "roundtrip": {
               "latency_us": {
@@ -2323,7 +3072,14 @@
                 "p90": 768.6361900195773,
                 "p95": 741.1848975188781,
                 "p99": 691.7725710176197
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 105.82037540453075,
+                "p90": 97.98182907826921,
+                "p95": 94.48247803975958,
+                "p99": 88.1836461704423
+              },
+              "payload_bytes": 784763904
             }
           },
           "roundtrip_token_rate_at_latency_percentile": {
@@ -2349,7 +3105,14 @@
                 "p90": 840.2426275331936,
                 "p95": 810.2339622641508,
                 "p99": 756.2183647798744
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 117.9245283018868,
+                "p90": 109.18937805730259,
+                "p95": 105.2897574123989,
+                "p99": 98.27044025157234
+              },
+              "payload_bytes": 400000000
             },
             "stage": {
               "latency_us": {
@@ -2363,7 +3126,14 @@
                 "p90": 1402.6097404491106,
                 "p95": 1352.5165354330707,
                 "p99": 1262.3487664041995
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 189.3523149606299,
+                "p90": 175.32621755613883,
+                "p95": 169.06456692913383,
+                "p99": 157.79359580052494
+              },
+              "payload_bytes": 192381952
             },
             "combine": {
               "latency_us": {
@@ -2377,7 +3147,14 @@
                 "p90": 892.8894087069526,
                 "p95": 861.0005012531327,
                 "p99": 803.6004678362574
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 120.5400701754386,
+                "p90": 111.61117608836908,
+                "p95": 107.62506265664159,
+                "p99": 100.45005847953217
+              },
+              "payload_bytes": 384763904
             },
             "roundtrip": {
               "latency_us": {
@@ -2391,7 +3168,14 @@
                 "p90": 767.8079182630906,
                 "p95": 740.3862068965517,
                 "p99": 691.0271264367817
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 105.70634482758621,
+                "p90": 97.87624521072797,
+                "p95": 94.38066502463055,
+                "p99": 88.08862068965517
+              },
+              "payload_bytes": 784763904
             }
           },
           "roundtrip_token_rate_at_latency_percentile": {
@@ -2417,7 +3201,14 @@
                 "p90": 838.2655860566448,
                 "p95": 808.3275294117645,
                 "p99": 754.4390274509803
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 117.64705882352942,
+                "p90": 108.93246187363833,
+                "p95": 105.04201680672269,
+                "p99": 98.0392156862745
+              },
+              "payload_bytes": 400000000
             },
             "stage": {
               "latency_us": {
@@ -2431,7 +3222,14 @@
                 "p90": 1391.6518518518517,
                 "p95": 1341.9499999999998,
                 "p99": 1252.4866666666667
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 187.873,
+                "p90": 173.95648148148146,
+                "p95": 167.74374999999998,
+                "p99": 156.56083333333333
+              },
+              "payload_bytes": 192381952
             },
             "combine": {
               "latency_us": {
@@ -2445,7 +3243,14 @@
                 "p90": 890.6571851851852,
                 "p95": 858.848,
                 "p99": 801.5914666666667
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 120.23872,
+                "p90": 111.33214814814815,
+                "p95": 107.356,
+                "p99": 100.19893333333334
+              },
+              "payload_bytes": 384763904
             },
             "roundtrip": {
               "latency_us": {
@@ -2459,7 +3264,14 @@
                 "p90": 766.9814296535502,
                 "p95": 739.5892357373519,
                 "p99": 690.2832866881952
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 105.5925597416577,
+                "p90": 97.77088864968306,
+                "p95": 94.27907119790866,
+                "p99": 87.99379978471475
+              },
+              "payload_bytes": 784763904
             }
           },
           "roundtrip_token_rate_at_latency_percentile": {
@@ -2485,7 +3297,14 @@
                 "p90": 836.2978264649626,
                 "p95": 806.4300469483567,
                 "p99": 752.6680438184663
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 117.37089201877934,
+                "p90": 108.67675186924012,
+                "p95": 104.79543930248154,
+                "p99": 97.80907668231613
+              },
+              "payload_bytes": 400000000
             },
             "stage": {
               "latency_us": {
@@ -2499,7 +3318,14 @@
                 "p90": 1380.863853000287,
                 "p95": 1331.5472868217053,
                 "p99": 1242.7774677002585
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 186.41662015503874,
+                "p90": 172.60798162503588,
+                "p95": 166.44341085271316,
+                "p99": 155.3471834625323
+              },
+              "payload_bytes": 192381952
             },
             "combine": {
               "latency_us": {
@@ -2513,7 +3339,14 @@
                 "p90": 888.4360949478155,
                 "p95": 856.706234413965,
                 "p99": 799.5924854530341
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 119.93887281795512,
+                "p90": 111.05451186847694,
+                "p95": 107.08827930174563,
+                "p99": 99.94906068162926
+              },
+              "payload_bytes": 384763904
             },
             "roundtrip": {
               "latency_us": {
@@ -2527,7 +3360,14 @@
                 "p90": 766.1567184388689,
                 "p95": 738.7939784946236,
                 "p99": 689.541046594982
-              }
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 105.47901935483871,
+                "p90": 97.66575866188768,
+                "p95": 94.17769585253455,
+                "p99": 87.89918279569893
+              },
+              "payload_bytes": 784763904
             }
           },
           "roundtrip_token_rate_at_latency_percentile": {
diff --git a/packages/app/src/components/collectivex/CollectiveXChart.tsx b/packages/app/src/components/collectivex/CollectiveXChart.tsx
index 623793383..d46f1e015 100644
--- a/packages/app/src/components/collectivex/CollectiveXChart.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXChart.tsx
@@ -5,7 +5,7 @@ import { useMemo } from 'react';
 
 import { D3Chart } from '@/lib/d3-chart/D3Chart';
 
-import { chartPoints, collectiveXColorKey } from './data';
+import { chartPoints, collectiveXColorKey, fitAlphaBeta } from './data';
 import type {
   CollectiveXChartPoint,
   CollectiveXOperation,
@@ -37,6 +37,7 @@ const Y_AXIS_LABELS: Record<CollectiveXYAxis, string> = {
   latency: 'Latency (µs)',
   'tokens-per-second': 'Token rate at selected latency percentile (tokens/s)',
   'activation-rate': 'Activation-data rate at selected latency percentile (GB/s)',
+  'payload-rate': 'Payload bandwidth at selected latency percentile (GB/s, per GPU)',
 };
 
 function paddedDomain(values: number[]): [number, number] {
@@ -97,6 +98,13 @@ export function CollectiveXChart({
     [series, operation, percentile, yAxis],
   );
   const seriesById = useMemo(() => new Map(series.map((item) => [item.series_id, item])), [series]);
+  // Per-series α/β fit for the current operation (p50). β is the per-GPU
+  // bandwidth term, α the fixed overhead; surfaced in the tooltip. Null when a
+  // series has too few points / a degenerate byte axis to fit.
+  const fitsBySeries = useMemo(
+    () => new Map(series.map((item) => [item.series_id, fitAlphaBeta(item, operation)])),
+    [series, operation],
+  );
   const lines = useMemo(() => {
     const result: Record<string, { x: number; y: number }[]> = {};
     for (const point of points) {
@@ -194,6 +202,10 @@ export function CollectiveXChart({
           const color = colors[point.colorKey] ?? '#888';
           const measurement = point.point;
           const measuredRoundtrip = measurement.components.roundtrip;
+          const fit = fitsBySeries.get(point.seriesId);
+          const fitLine = fit
+            ? `<div class="mt-1 text-muted-foreground">Fit β=${fit.betaGbps.toFixed(fit.betaGbps >= 100 ? 0 : 1)} GB/s · α=${fit.alphaUs.toFixed(1)} µs (p50, per GPU)</div>`
+            : '';
           return `<div class="rounded-md border bg-background/95 px-3 py-2 text-xs shadow-md backdrop-blur-sm" style="min-width: 230px; max-width: 380px; user-select: ${isPinned ? 'text' : 'none'}">
             ${isPinned ? '<div style="color: var(--muted-foreground); font-size: 10px; margin-bottom: 6px; font-style: italic;">Click elsewhere to dismiss</div>' : ''}
             <div class="font-semibold mb-1" style="color: ${color}">${escapeHtml(point.seriesLabel)}</div>
@@ -204,6 +216,7 @@ export function CollectiveXChart({
             <div class="text-muted-foreground">Stage: ${formatPercentiles(measurement.components.stage)}</div>
             <div class="text-muted-foreground">Combine: ${formatPercentiles(measurement.components.combine)}</div>
             <div class="text-muted-foreground">Round trip: ${formatPercentiles(measuredRoundtrip)}${measuredRoundtrip ? ' (measured)' : ''}</div>
+            ${fitLine}
           </div>`;
         },
         getRulerX: (point, scale) =>
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index 273becfbc..1d1f15767 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -77,6 +77,7 @@ const STRINGS = {
     yAxis: {
       latency: 'Latency',
       'tokens-per-second': 'Token rate at selected latency percentile',
+      'payload-rate': 'Payload bandwidth at selected latency percentile (per GPU)',
     },
     all: 'All',
     loading: 'Resolving CollectiveX run...',
@@ -115,6 +116,8 @@ const STRINGS = {
     resetFilter: 'Reset filter',
     payloadNote:
       'Payload rate is derived at the selected latency percentile and is not physical link bandwidth.',
+    payloadBandwidthNote:
+      'Payload bandwidth is the full logical payload (incl. FP8 scale bytes) ÷ latency, per GPU — a derived rate over logical bytes, not physical link bandwidth. The tooltip β/α is a least-squares fit of latency vs bytes across the ladder (β = per-GPU bandwidth term, α = fixed overhead).',
     deleteRun: 'Delete run',
     deleteConfirm: (id: string) =>
       `Delete run #${id} from the dashboard database? This cannot be undone.`,
@@ -146,6 +149,7 @@ const STRINGS = {
     yAxis: {
       latency: '延迟',
       'tokens-per-second': '所选延迟分位点的 token 速率',
+      'payload-rate': '所选延迟分位点的载荷带宽（每 GPU）',
     },
     mode: { normal: '常规', 'low-latency': '低延迟' },
     fabricScope: { all: '全部', 'scale-up': '域内', 'scale-out': '跨域' },
@@ -241,6 +245,8 @@ const STRINGS = {
     missingComponents: '不可用的测量分项保持为空，并从图表中省略。',
     isolatedNote: '分项之和为派生值，不用于计算吞吐量。',
     payloadNote: '逻辑载荷速率按所选延迟分位点派生，不代表物理链路带宽。',
+    payloadBandwidthNote:
+      '载荷带宽为完整逻辑载荷（含 FP8 缩放字节）÷ 延迟（每 GPU），是基于逻辑字节的派生速率，不代表物理链路带宽。工具提示中的 β/α 为延迟对字节在整个梯度上的最小二乘拟合（β = 每 GPU 带宽项，α = 固定开销）。',
     provenance: '发布数据溯源',
     runLabel: 'Run',
     attemptLabel: 'Attempt',
@@ -734,6 +740,9 @@ export default function CollectiveXDisplay() {
         {yAxis === 'activation-rate' && (
           <p className="mt-2 text-xs text-muted-foreground">{t.payloadNote}</p>
         )}
+        {yAxis === 'payload-rate' && (
+          <p className="mt-2 text-xs text-muted-foreground">{t.payloadBandwidthNote}</p>
+        )}
       </Card>
       <Card className="py-4 md:py-5">
         <div className="grid gap-x-5 gap-y-3 sm:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6">
@@ -903,6 +912,10 @@ export default function CollectiveXDisplay() {
                 value: 'activation-rate',
                 label: 'Activation-data rate at latency percentile',
               },
+              {
+                value: 'payload-rate',
+                label: t.yAxis['payload-rate'],
+              },
             ]}
           />
         </div>
diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
index eb2059fc3..1cef8037a 100644
--- a/packages/app/src/components/collectivex/data.test.ts
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -5,10 +5,12 @@ import {
   collectiveXColorKey,
   collectiveXSeriesLabel,
   collectiveXTopologyLabel,
+  fitAlphaBeta,
   metricValue,
   seriesMatchesSelection,
   type CollectiveXSeriesSelection,
 } from './data';
+import type { CollectiveXPercentiles, CollectiveXSeries } from './types';
 import { makeCollectiveXDataset, makeCollectiveXSeries } from './test-fixture';
 
 const dataset = makeCollectiveXDataset();
@@ -119,16 +121,86 @@ describe('metricValue', () => {
     expect(metricValue(point, 'dispatch', 'p50', 'tokens-per-second')).toBeNull();
   });
 
-  it('returns the payload data rate', () => {
+  it('returns the activation data rate', () => {
     expect(metricValue(point, 'dispatch', 'p50', 'activation-rate')).toBeGreaterThan(0);
   });
 
+  it('returns the per-GPU payload bandwidth distinct from the activation rate', () => {
+    const payload = metricValue(point, 'dispatch', 'p50', 'payload-rate');
+    const activation = metricValue(point, 'dispatch', 'p50', 'activation-rate');
+    expect(payload).toBeGreaterThan(0);
+    // Payload uses total_logical_bytes ÷ ep; activation uses aggregate activation bytes.
+    expect(payload).not.toBeCloseTo(activation as number, 1);
+  });
+
   it('returns null for an unavailable component', () => {
     const unavailable = makeCollectiveXSeries({ rows: [{ stageUnavailable: true }] }).points[0];
     expect(metricValue(unavailable, 'stage', 'p50', 'latency')).toBeNull();
   });
 });
 
+function pct(value: number): CollectiveXPercentiles {
+  return { p50: value, p90: value, p95: value, p99: value };
+}
+
+describe('fitAlphaBeta', () => {
+  // Build a series whose dispatch latency is exactly α + bytesPerGpu/β with
+  // α = 10 µs and β = 250 GB/s (per GPU), so the OLS must recover both. ep = 8,
+  // so aggregate payload_bytes = bytesPerGpu × 8 and fitAlphaBeta divides it back.
+  const EP = 8;
+  function fitSeries(): CollectiveXSeries {
+    const point = (bytesPerGpu: number) => {
+      const latency = 10 + bytesPerGpu / (250 * 1e3); // µs
+      const rate = (bytesPerGpu / latency) * 1e-3; // GB/s per GPU
+      const component = {
+        latency_us: pct(latency),
+        activation_data_rate_gbps_at_latency_percentile: pct(rate),
+        payload_data_rate_gbps_at_latency_percentile: pct(rate),
+        payload_bytes: bytesPerGpu * EP,
+      };
+      return {
+        tokens_per_rank: bytesPerGpu / 1e4,
+        global_tokens: bytesPerGpu / 1e3,
+        components: { dispatch: component, stage: null, combine: component, roundtrip: component },
+        roundtrip_token_rate_at_latency_percentile: pct(1),
+      };
+    };
+    return {
+      series_id: 'fit-series',
+      phase: 'decode',
+      mode: 'normal',
+      precision: 'bf16',
+      backend: 'nccl-ep',
+      system: {
+        ep_size: 8,
+        nodes: 1,
+        gpus_per_node: 8,
+        scale_up_domain: 8,
+        scale_up_transport: 'nvlink',
+        scale_out_transport: null,
+        topology_class: 'h100-nvlink-island',
+        sku: 'h100',
+        vendor: 'nvidia',
+      },
+      points: [point(1e6), point(2e6), point(3e6)],
+    };
+  }
+
+  it('recovers the fixed overhead (alpha) and per-GPU bandwidth (beta)', () => {
+    const fit = fitAlphaBeta(fitSeries(), 'dispatch');
+    expect(fit).not.toBeNull();
+    expect(fit?.alphaUs).toBeCloseTo(10, 3);
+    expect(fit?.betaGbps).toBeCloseTo(250, 3);
+    expect(fit?.pointCount).toBe(3);
+  });
+
+  it('returns null when the byte axis has no variance across the ladder', () => {
+    // The default fixture holds bytes constant across the ladder, so bytes/GPU
+    // reconstructs to a single value and there is no slope to fit.
+    expect(fitAlphaBeta(makeCollectiveXSeries(), 'dispatch')).toBeNull();
+  });
+});
+
 describe('chartPoints', () => {
   it('emits one point per token row with populated axes', () => {
     const points = chartPoints([scaleUp], 'dispatch', 'p50', 'latency');
diff --git a/packages/app/src/components/collectivex/data.ts b/packages/app/src/components/collectivex/data.ts
index faa046d38..22276710f 100644
--- a/packages/app/src/components/collectivex/data.ts
+++ b/packages/app/src/components/collectivex/data.ts
@@ -69,9 +69,73 @@ export function metricValue(
       ? point.roundtrip_token_rate_at_latency_percentile[percentile]
       : null;
   }
+  if (yAxis === 'payload-rate') {
+    return component.payload_data_rate_gbps_at_latency_percentile?.[percentile] ?? null;
+  }
   return component.activation_data_rate_gbps_at_latency_percentile?.[percentile] ?? null;
 }
 
+export interface CollectiveXFit {
+  /** Fixed per-call overhead (µs): the launch/sync/rendezvous floor. */
+  alphaUs: number;
+  /** Per-GPU bandwidth term (GB/s): the slope of latency vs bytes. */
+  betaGbps: number;
+  /** Points that entered the fit. */
+  pointCount: number;
+}
+
+/** Ordinary least squares; returns [intercept, slope]. */
+function ols(xs: number[], ys: number[]): [number, number] {
+  const n = xs.length;
+  const meanX = xs.reduce((a, b) => a + b, 0) / n;
+  const meanY = ys.reduce((a, b) => a + b, 0) / n;
+  let sxx = 0;
+  let sxy = 0;
+  for (let i = 0; i < n; i++) {
+    sxx += (xs[i] - meanX) ** 2;
+    sxy += (xs[i] - meanX) * (ys[i] - meanY);
+  }
+  const slope = sxy / sxx;
+  return [meanY - slope * meanX, slope];
+}
+
+/**
+ * Separate the bandwidth term (β) from the fixed overhead (α) for one operation
+ * across a series' token ladder: latency(bytes) ≈ α + bytes/β. Regresses the
+ * per-point latency against the per-GPU payload bytes (raw `payload_bytes` ÷
+ * ep_size), so β lands in the same per-GPU GB/s units as the payload-rate axis
+ * and α is the fixed overhead in µs. p50 by default (p99 carries tail noise).
+ * Mirrors experimental/CollectiveX/bandwidth.py. Returns null when fewer than
+ * three points, a degenerate (near-zero-variance) byte axis — e.g. a constant
+ * payload across the ladder — or a non-positive slope leaves no bandwidth term.
+ */
+export function fitAlphaBeta(
+  series: CollectiveXSeries,
+  operation: CollectiveXOperation,
+  percentile: CollectiveXPercentile = 'p50',
+): CollectiveXFit | null {
+  const ep = Math.max(1, series.system.ep_size);
+  const bytesPerGpu: number[] = [];
+  const latencies: number[] = [];
+  for (const point of series.points) {
+    const component = point.components[operation];
+    if (component === null || component.payload_bytes === null) continue;
+    const latency = component.latency_us[percentile];
+    if (latency <= 0) continue;
+    bytesPerGpu.push(component.payload_bytes / ep);
+    latencies.push(latency);
+  }
+  if (bytesPerGpu.length < 3) return null;
+  // Reject a near-constant byte axis (constant payload across the ladder): a
+  // relative spread this small carries no real slope, only numeric noise.
+  const min = Math.min(...bytesPerGpu);
+  const max = Math.max(...bytesPerGpu);
+  if (max - min <= 1e-9 * max) return null;
+  const [alphaUs, slopeUsPerByte] = ols(bytesPerGpu, latencies);
+  if (slopeUsPerByte <= 0) return null;
+  return { alphaUs, betaGbps: 1e-3 / slopeUsPerByte, pointCount: bytesPerGpu.length };
+}
+
 export function chartPoints(
   series: CollectiveXSeries[],
   operation: CollectiveXOperation,
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
index ff1847947..1f15832da 100644
--- a/packages/app/src/components/collectivex/types.ts
+++ b/packages/app/src/components/collectivex/types.ts
@@ -14,7 +14,7 @@ export * from '@semianalysisai/inferencex-db/collectivex/types';
 
 export const collectiveXVersionLabel = (version: CollectiveXVersion): string => `V${version}`;
 
-export type CollectiveXYAxis = 'latency' | 'tokens-per-second' | 'activation-rate';
+export type CollectiveXYAxis = 'latency' | 'tokens-per-second' | 'activation-rate' | 'payload-rate';
 
 export interface CollectiveXChartPoint {
   seriesId: string;
diff --git a/packages/db/src/collectivex/reader.test.ts b/packages/db/src/collectivex/reader.test.ts
index 75995e0c4..59e097b62 100644
--- a/packages/db/src/collectivex/reader.test.ts
+++ b/packages/db/src/collectivex/reader.test.ts
@@ -158,6 +158,28 @@ describe('CollectiveX artifact assembly', () => {
     });
   });
 
+  it('maps an nccl-ep backend series (the 4th pluggable backend)', () => {
+    const series = makeCollectiveXSeries({ backend: 'nccl-ep', implName: 'nccl-ep' });
+    expect(series.backend).toBe('nccl-ep');
+    expect(series.series_id).toContain('nccl-ep');
+    expect(series.points).toHaveLength(10);
+  });
+
+  it('derives a per-GPU payload bandwidth from total_logical_bytes', () => {
+    const dispatch = makeCollectiveXSeries().points[0].components.dispatch;
+    // total_logical_bytes (400000000) / ep (8) / p50 latency (417 µs) → GB/s.
+    expect(dispatch?.payload_data_rate_gbps_at_latency_percentile?.p50).toBeCloseTo(
+      (400000000 / 8 / 417) * 1e-3,
+      3,
+    );
+    // Distinct from the aggregate activation rate (activation bytes, no ep split):
+    // the payload rate reads total_logical_bytes and divides by the EP world size.
+    expect(dispatch?.payload_data_rate_gbps_at_latency_percentile?.p50).not.toBeCloseTo(
+      dispatch?.activation_data_rate_gbps_at_latency_percentile?.p50 ?? 0,
+      1,
+    );
+  });
+
   it('does not invent rates for zero-byte or unavailable components', () => {
     const zeroStage = makeCollectiveXSeries({ rows: [{ stageZeroBytes: true }] }).points[0]
       .components.stage;
diff --git a/packages/db/src/collectivex/reader.ts b/packages/db/src/collectivex/reader.ts
index 5c014d4bc..5cec68a0b 100644
--- a/packages/db/src/collectivex/reader.ts
+++ b/packages/db/src/collectivex/reader.ts
@@ -51,7 +51,7 @@ interface RawRow {
   global_tokens: number;
   token_rate_at_latency_percentile: CollectiveXPercentiles;
   components: Record<string, RawComponent | null>;
-  byte_provenance: Record<string, { activation_data_bytes: number }>;
+  byte_provenance: Record<string, { activation_data_bytes: number; total_logical_bytes?: number }>;
 }
 
 interface RawShard {
@@ -125,8 +125,14 @@ function toMode(raw: string | undefined): CollectiveXMode {
   return raw === 'low-latency' ? 'low-latency' : 'normal';
 }
 
-function ratesFrom(bytes: number, latency: CollectiveXPercentiles): CollectiveXPercentiles {
-  const rate = (us: number) => (bytes / us) * 1e-3;
+// GB/s = bytes / (latency_us * 1e-6) / 1e9 = (bytes / latency_us) * 1e-3. `divisor`
+// splits an aggregate world byte count into a per-GPU figure (divisor = ep_size).
+function ratesFrom(
+  bytes: number,
+  latency: CollectiveXPercentiles,
+  divisor = 1,
+): CollectiveXPercentiles {
+  const rate = (us: number) => (bytes / divisor / us) * 1e-3;
   return {
     p50: rate(latency.p50),
     p90: rate(latency.p90),
@@ -137,19 +143,29 @@ function ratesFrom(bytes: number, latency: CollectiveXPercentiles): CollectiveXP
 
 function mapComponent(
   raw: RawComponent | null | undefined,
-  bytes?: { activation_data_bytes: number },
+  bytes: { activation_data_bytes: number; total_logical_bytes?: number } | undefined,
+  ep: number,
 ): CollectiveXComponent | null {
   if (!raw?.percentiles_us || raw.availability === 'unavailable') return null;
+  // Byte counts are aggregate across the EP world (routed_copies = fanout.sum()).
+  // Activation rate stays aggregate (unchanged); payload rate is per-GPU over the
+  // full logical payload, falling back to activation bytes for pre-provenance
+  // artifacts that carry no total_logical_bytes.
+  const payloadBytes = bytes ? (bytes.total_logical_bytes ?? bytes.activation_data_bytes) : null;
   return {
     latency_us: raw.percentiles_us,
     activation_data_rate_gbps_at_latency_percentile: bytes
       ? ratesFrom(bytes.activation_data_bytes, raw.percentiles_us)
       : null,
+    payload_data_rate_gbps_at_latency_percentile:
+      payloadBytes === null ? null : ratesFrom(payloadBytes, raw.percentiles_us, Math.max(1, ep)),
+    payload_bytes: payloadBytes,
   };
 }
 
-function mapPoint(row: RawRow): CollectiveXPoint {
-  const component = (name: string) => mapComponent(row.components[name], row.byte_provenance[name]);
+function mapPoint(row: RawRow, ep: number): CollectiveXPoint {
+  const component = (name: string) =>
+    mapComponent(row.components[name], row.byte_provenance[name], ep);
   return {
     tokens_per_rank: row.tokens_per_rank,
     global_tokens: row.global_tokens,
@@ -188,7 +204,7 @@ function buildSeries(shard: RawShard): CollectiveXSeries {
       sku: shard.identity.case_factors.sku,
       vendor: shard.runtime.vendor === 'amd' ? 'amd' : 'nvidia',
     },
-    points: shard.measurement.rows.map(mapPoint),
+    points: shard.measurement.rows.map((row) => mapPoint(row, kase.ep)),
   };
 }
 
diff --git a/packages/db/src/collectivex/test-fixture.ts b/packages/db/src/collectivex/test-fixture.ts
index 513845967..d627bb939 100644
--- a/packages/db/src/collectivex/test-fixture.ts
+++ b/packages/db/src/collectivex/test-fixture.ts
@@ -50,8 +50,12 @@ function component(base: number): Json {
   return { availability: 'measured', percentiles_us: percentiles(base) };
 }
 
-function bytes(activation: number): Json {
-  return { activation_data_bytes: activation };
+// `total` defaults to the activation count (the bf16 case, where there are no
+// scale bytes). Dispatch under FP8 carries extra scale bytes, so its total
+// exceeds activation — the fixture models that so tests can prove the payload
+// rate reads total_logical_bytes rather than activation_data_bytes.
+function bytes(activation: number, total: number = activation): Json {
+  return { activation_data_bytes: activation, total_logical_bytes: total };
 }
 
 function makeRawRow(index: number, row: RowOverrides, worldSize: number): Json {
@@ -64,10 +68,12 @@ function makeRawRow(index: number, row: RowOverrides, worldSize: number): Json {
       ? { availability: 'unavailable', percentiles_us: null }
       : component(120 + index),
   };
+  // Dispatch total exceeds activation (models FP8 scale bytes); combine is
+  // always bf16 (total == activation); roundtrip total is their sum.
   const byteProvenance: Json = {
-    dispatch: bytes(384763904),
+    dispatch: bytes(384763904, 400000000),
     combine: bytes(384763904),
-    roundtrip: bytes(769527808),
+    roundtrip: bytes(769527808, 784763904),
   };
   if (!row.stageUnavailable) {
     byteProvenance.stage = bytes(row.stageZeroBytes ? 0 : 192381952);
diff --git a/packages/db/src/collectivex/types.ts b/packages/db/src/collectivex/types.ts
index b651ab4c9..9bc2d2e3c 100644
--- a/packages/db/src/collectivex/types.ts
+++ b/packages/db/src/collectivex/types.ts
@@ -38,6 +38,21 @@ export type CollectiveXPercentiles = Record<CollectiveXPercentile, number>;
 export interface CollectiveXComponent {
   latency_us: CollectiveXPercentiles;
   activation_data_rate_gbps_at_latency_percentile: CollectiveXPercentiles | null;
+  /**
+   * Per-GPU bandwidth over the FULL logical payload (activation bytes plus any
+   * FP8 scale bytes), i.e. `total_logical_bytes / ep_size / latency`. Distinct
+   * from `activation_data_rate_gbps_at_latency_percentile`, which is aggregate
+   * and excludes scale bytes. Null when the component carries no byte
+   * provenance (e.g. an unavailable component).
+   */
+  payload_data_rate_gbps_at_latency_percentile: CollectiveXPercentiles | null;
+  /**
+   * Aggregate total logical payload bytes for this component at this point
+   * (the numerator behind `payload_data_rate_*`). Carried raw so a consumer can
+   * fit latency vs bytes across the ladder (bandwidth-vs-overhead decomposition)
+   * without reconstructing bytes from a rate. Null when no byte provenance.
+   */
+  payload_bytes: number | null;
 }
 
 export interface CollectiveXPoint {

From 0c6c934ed0a005e967e26cdc70237dcf17abdba0 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Sun, 26 Jul 2026 16:19:56 +0800
Subject: [PATCH 21/37] fix(collectivex): stop discovery from calling GitHub on
 every read
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

The DB is a durable cache of Actions artifacts, but discovery still ran on
every request: the routes are force-dynamic and call ensure* per request, and
the module shared only the in-flight promise, so even a fully warm page spent a
`list workflow runs` call just to conclude "already known". Cost scaled with
traffic instead of with how often a sweep actually lands, adding GitHub latency
to every response and burning rate limit for nothing.

Give the two walking paths a 60s cooldown. ensureCollectiveXRun is left alone:
it returns on a DB hit before touching GitHub, and throttling it would keep
answering 404 for a run that had just appeared.

Failures are remembered too, for a shorter 10s window, and rethrown rather than
swallowed. Dropping them would let an outage read as "discovery fine, nothing
found", which turns the routes' 502/503 into a 404 whenever the DB has no
fallback row — that branch keys entirely off whether ensure* threw.

The cooldown is module state that outlives a test case, and the suite does not
reset modules, so resetCollectiveXDiscoveryCooldown() is exported and called in
beforeEach; without it every test after the first would be served from the
cooldown, issue no requests, and pass vacuously. Adds cover for warm-skip,
expiry, and the remembered-failure identity, and folds the repeated run-listing
fixture into one helper that documents why each call needs a fresh Response.
---
 .../src/lib/collectivex-lazy-ingest.test.ts   | 77 ++++++++++++----
 .../app/src/lib/collectivex-lazy-ingest.ts    | 90 +++++++++++++++----
 2 files changed, 133 insertions(+), 34 deletions(-)

diff --git a/packages/app/src/lib/collectivex-lazy-ingest.test.ts b/packages/app/src/lib/collectivex-lazy-ingest.test.ts
index f69aa803c..44dafb338 100644
--- a/packages/app/src/lib/collectivex-lazy-ingest.test.ts
+++ b/packages/app/src/lib/collectivex-lazy-ingest.test.ts
@@ -27,6 +27,7 @@ import {
   ensureCollectiveXRun,
   ensureCollectiveXRunsList,
   ensureLatestCollectiveXRun,
+  resetCollectiveXDiscoveryCooldown,
 } from './collectivex-lazy-ingest';
 
 const mockFetch = vi.fn();
@@ -91,6 +92,13 @@ function runObject(overrides: Record<string, unknown> = {}) {
   };
 }
 
+/** One page of the run listing. A Response body reads once, so build a fresh one per call. */
+function runListing(...runs: ReturnType<typeof runObject>[]) {
+  return Response.json({ total_count: runs.length, workflow_runs: runs });
+}
+
+const twoRunListing = () => runListing(runObject({ id: 161 }), runObject({ id: 160 }));
+
 function artifactsBody(runId = 160, runAttempt = 1) {
   return {
     total_count: 2,
@@ -117,6 +125,9 @@ beforeEach(() => {
   mockInsert.mockReset().mockResolvedValue(true);
   mockRefresh.mockReset().mockResolvedValue(true);
   process.env.GITHUB_TOKEN = 'test-token';
+  // Module-level state outlives a case; without this every test after the first
+  // would be answered from the discovery cooldown and issue no requests.
+  resetCollectiveXDiscoveryCooldown();
 });
 
 afterAll(() => {
@@ -168,12 +179,7 @@ describe('ensureLatestCollectiveXRun', () => {
       ),
     );
     mockFetch
-      .mockResolvedValueOnce(
-        Response.json({
-          total_count: 2,
-          workflow_runs: [runObject({ id: 161 }), runObject({ id: 160 })],
-        }),
-      )
+      .mockResolvedValueOnce(twoRunListing())
       .mockResolvedValueOnce(Response.json(artifactsBody()))
       .mockResolvedValueOnce(new Response(matrixZip))
       .mockResolvedValueOnce(new Response(shardZip));
@@ -186,12 +192,7 @@ describe('ensureLatestCollectiveXRun', () => {
 
   it('skips runs tagged for another version', async () => {
     mockFetch
-      .mockResolvedValueOnce(
-        Response.json({
-          total_count: 2,
-          workflow_runs: [runObject({ id: 161 }), runObject({ id: 160 })],
-        }),
-      )
+      .mockResolvedValueOnce(twoRunListing())
       // Run 161 carries a v2 matrix — requesting v1 must move on.
       .mockResolvedValueOnce(Response.json(artifactsBody(161)))
       .mockResolvedValueOnce(new Response(matrixZipV2))
@@ -288,6 +289,51 @@ describe('ensureLatestCollectiveXRun', () => {
   });
 });
 
+describe('discovery cooldown', () => {
+  it('serves a warm target from the cooldown without calling GitHub again', async () => {
+    mockGetStates.mockResolvedValue({ '160': { state: 'live', version: 1, run_attempt: 1 } });
+    mockFetch.mockImplementation(() => Promise.resolve(runListing(runObject())));
+
+    await ensureLatestCollectiveXRun(1);
+    const afterFirst = mockFetch.mock.calls.length;
+    expect(afterFirst).toBeGreaterThan(0);
+
+    await ensureLatestCollectiveXRun(1);
+    await ensureLatestCollectiveXRun(1);
+    expect(mockFetch.mock.calls.length).toBe(afterFirst);
+  });
+
+  it('walks again once the cooldown window has elapsed', async () => {
+    vi.useFakeTimers();
+    try {
+      mockGetStates.mockResolvedValue({ '160': { state: 'live', version: 1, run_attempt: 1 } });
+      mockFetch.mockImplementation(() => Promise.resolve(runListing(runObject())));
+
+      await ensureLatestCollectiveXRun(1);
+      const afterFirst = mockFetch.mock.calls.length;
+
+      vi.advanceTimersByTime(61_000);
+      await ensureLatestCollectiveXRun(1);
+      expect(mockFetch.mock.calls.length).toBeGreaterThan(afterFirst);
+    } finally {
+      vi.useRealTimers();
+    }
+  });
+
+  it('rethrows a remembered failure so an outage stays 502/503 rather than 404', async () => {
+    mockFetch.mockResolvedValue(new Response('nope', { status: 500 }));
+
+    const first = await ensureLatestCollectiveXRun(1).catch((error: unknown) => error);
+    expect(collectiveXSweepErrorCode(first)).toBe('unavailable');
+    const afterFirst = mockFetch.mock.calls.length;
+
+    // Same error object, and no fresh requests while the failure window holds.
+    const second = await ensureLatestCollectiveXRun(1).catch((error: unknown) => error);
+    expect(second).toBe(first);
+    expect(mockFetch.mock.calls.length).toBe(afterFirst);
+  });
+});
+
 describe('ensureCollectiveXRunsList', () => {
   it('backfills absent recent runs and counts live ones toward the cap', async () => {
     mockGetStates.mockImplementation((_sql: unknown, ids: string[]) =>
@@ -296,12 +342,7 @@ describe('ensureCollectiveXRunsList', () => {
       ),
     );
     mockFetch
-      .mockResolvedValueOnce(
-        Response.json({
-          total_count: 2,
-          workflow_runs: [runObject({ id: 161 }), runObject({ id: 160 })],
-        }),
-      )
+      .mockResolvedValueOnce(twoRunListing())
       .mockResolvedValueOnce(Response.json(artifactsBody()))
       .mockResolvedValueOnce(new Response(matrixZip))
       .mockResolvedValueOnce(new Response(shardZip));
diff --git a/packages/app/src/lib/collectivex-lazy-ingest.ts b/packages/app/src/lib/collectivex-lazy-ingest.ts
index 3110f196a..a1b70596e 100644
--- a/packages/app/src/lib/collectivex-lazy-ingest.ts
+++ b/packages/app/src/lib/collectivex-lazy-ingest.ts
@@ -100,8 +100,7 @@ export function collectiveXSweepErrorStatus(error: unknown): 404 | 502 | 503 | n
   return null;
 }
 
-// Concurrent requests for the same target share one discovery pass; the DB is
-// the cache, so nothing is memoized beyond the in-flight promise.
+// Concurrent requests for the same target share one discovery pass.
 const inFlight = new Map<string, Promise<void>>();
 
 function dedupe(key: string, work: () => Promise<void>): Promise<void> {
@@ -112,6 +111,57 @@ function dedupe(key: string, work: () => Promise<void>): Promise<void> {
   return promise;
 }
 
+// Cooldown for the two walking paths. The DB is the durable cache, but sharing
+// only the in-flight promise still left every read walking GitHub: the routes
+// are force-dynamic and call ensure* per request, so even a fully warm page
+// spent a `list workflow runs` call just to conclude "already known" — GitHub
+// latency on every response, and rate-limit burn that scales with traffic
+// rather than with how often a sweep actually lands.
+//
+// Only `latest:`/`list:` need this. ensureCollectiveXRun returns on a DB hit
+// before it touches GitHub, and throttling it would keep answering 404 for a
+// run that has just appeared.
+//
+// Failures are remembered too, and rethrown for the rest of their (shorter)
+// window: swallowing them would let a GitHub outage read as "discovery fine,
+// nothing found", which downgrades the routes' 502/503 to a 404 when the DB is
+// empty. The window is the upper bound on how stale "latest" can be.
+const DISCOVERY_COOLDOWN_MS = 60_000;
+const DISCOVERY_FAILURE_COOLDOWN_MS = 10_000;
+
+interface DiscoveryOutcome {
+  until: number;
+  error: unknown;
+}
+
+const discoveryCooldown = new Map<string, DiscoveryOutcome>();
+
+function throttled(key: string, work: () => Promise<void>): () => Promise<void> {
+  return async () => {
+    const settled = discoveryCooldown.get(key);
+    if (settled && Date.now() < settled.until) {
+      if (settled.error !== null) throw settled.error;
+      return;
+    }
+    try {
+      await work();
+    } catch (error) {
+      discoveryCooldown.set(key, { until: Date.now() + DISCOVERY_FAILURE_COOLDOWN_MS, error });
+      throw error;
+    }
+    discoveryCooldown.set(key, { until: Date.now() + DISCOVERY_COOLDOWN_MS, error: null });
+  };
+}
+
+/**
+ * Test-only: drop every discovery cooldown. The module keeps this state for the
+ * lifetime of the process, so a suite driving successive passes must clear it
+ * between cases.
+ */
+export function resetCollectiveXDiscoveryCooldown(): void {
+  discoveryCooldown.clear();
+}
+
 function githubHeaders(token: string) {
   return {
     Accept: 'application/vnd.github+json',
@@ -465,12 +515,16 @@ async function considerCandidate(
  * artifact failures (callers fall back to whatever the DB already holds).
  */
 export function ensureLatestCollectiveXRun(version: CollectiveXVersion): Promise<void> {
-  return dedupe(`latest:${version}`, async () => {
-    const token = requireToken();
-    for await (const run of sweepRuns(token)) {
-      if ((await considerCandidate(run, version, token)) === 'match') return;
-    }
-  });
+  const key = `latest:${version}`;
+  return dedupe(
+    key,
+    throttled(key, async () => {
+      const token = requireToken();
+      for await (const run of sweepRuns(token)) {
+        if ((await considerCandidate(run, version, token)) === 'match') return;
+      }
+    }),
+  );
 }
 
 /**
@@ -479,14 +533,18 @@ export function ensureLatestCollectiveXRun(version: CollectiveXVersion): Promise
  * live matches count toward the cap — tombstoned runs never fill a slot.
  */
 export function ensureCollectiveXRunsList(version: CollectiveXVersion): Promise<void> {
-  return dedupe(`list:${version}`, async () => {
-    const token = requireToken();
-    let matched = 0;
-    for await (const run of sweepRuns(token)) {
-      if ((await considerCandidate(run, version, token)) === 'match') matched += 1;
-      if (matched >= MAX_DISCOVERED_RUNS) return;
-    }
-  });
+  const key = `list:${version}`;
+  return dedupe(
+    key,
+    throttled(key, async () => {
+      const token = requireToken();
+      let matched = 0;
+      for await (const run of sweepRuns(token)) {
+        if ((await considerCandidate(run, version, token)) === 'match') matched += 1;
+        if (matched >= MAX_DISCOVERED_RUNS) return;
+      }
+    }),
+  );
 }
 
 /**

From 13b23338701b9adf1a61ddea02ebbea5e2485003 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Sun, 26 Jul 2026 16:22:10 +0800
Subject: [PATCH 22/37] chore(collectivex): store the API response fixtures
 minified
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

collectivex-latest.json carries one dataset payload — 3 series of 10 points —
but pretty-printed that is 3,384 lines for 60 KB of content, and it dominated
every diff that touched it (30% of this branch's insertions). Minifying both
API fixtures drops 3,405 lines and 51 KB with byte-identical parsed content.

These are machine-shaped payloads, replaced wholesale rather than hand-edited,
so the readability that indentation buys is not worth the diff weight.

Formatting has to be told to leave them alone: oxfmt reformats JSON as well as
TS, and the lefthook pre-commit job re-stages what it fixes, so the next commit
touching them would silently expand them again. oxfmt reads .prettierignore by
default, so the exclusion lives there (and would carry over if Prettier is ever
reintroduced).
---
 .prettierignore                               |    9 +
 .../fixtures/api/collectivex-latest.json      | 3384 +----------------
 .../fixtures/api/collectivex-runs.json        |   22 +-
 3 files changed, 11 insertions(+), 3404 deletions(-)
 create mode 100644 .prettierignore

diff --git a/.prettierignore b/.prettierignore
new file mode 100644
index 000000000..e84ae649f
--- /dev/null
+++ b/.prettierignore
@@ -0,0 +1,9 @@
+# oxfmt reads this file by default (as does Prettier, if it is ever reintroduced).
+#
+# API response fixtures are stored minified: collectivex-latest.json holds a whole
+# dataset payload, which pretty-printed is ~3.4k lines of indentation for ~60 KB of
+# content and dominates any diff that touches it. They are machine-shaped payloads
+# that are replaced wholesale rather than hand-edited, so formatting them buys
+# nothing; without this entry the pre-commit hook would silently re-expand them.
+packages/app/cypress/fixtures/api/collectivex-latest.json
+packages/app/cypress/fixtures/api/collectivex-runs.json
diff --git a/packages/app/cypress/fixtures/api/collectivex-latest.json b/packages/app/cypress/fixtures/api/collectivex-latest.json
index 60e36800c..42f0c5e76 100644
--- a/packages/app/cypress/fixtures/api/collectivex-latest.json
+++ b/packages/app/cypress/fixtures/api/collectivex-latest.json
@@ -1,3383 +1 @@
-{
-  "version": 1,
-  "run": {
-    "run_id": "160",
-    "run_attempt": 1,
-    "generated_at": "2026-07-08T12:20:00Z",
-    "conclusion": "success",
-    "source_sha": "cccccccccccccccccccccccccccccccccccccccc",
-    "requested_cases": 5,
-    "terminal_cases": 4,
-    "measured_cases": 3,
-    "unsupported_cases": 1,
-    "failed_cases": 0,
-    "requested_points": 50,
-    "terminal_points": 40,
-    "measured_points": 30,
-    "covered_skus": ["b200-dgxc", "b300", "h200-dgxc", "mi355x"]
-  },
-  "coverage": [
-    {
-      "case_id": "h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-bf16",
-      "label": "h200-dgxc · deepep-v2 · normal · decode · EP8 · bf16",
-      "disposition": "runnable",
-      "sku": "h200-dgxc",
-      "backend": "deepep-v2",
-      "phase": "decode",
-      "mode": "normal",
-      "precision": "bf16",
-      "topology": {
-        "ep_size": 8,
-        "nodes": 1,
-        "gpus_per_node": 8,
-        "scale_up_domain": 8,
-        "scale_up_transport": "nvlink",
-        "scale_out_transport": null,
-        "topology_class": "h200-nvlink-island"
-      },
-      "points": [
-        {
-          "tokens_per_rank": 1,
-          "global_tokens": 8,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 2,
-          "global_tokens": 16,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 4,
-          "global_tokens": 32,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 8,
-          "global_tokens": 64,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 16,
-          "global_tokens": 128,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 32,
-          "global_tokens": 256,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 64,
-          "global_tokens": 512,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 128,
-          "global_tokens": 1024,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 256,
-          "global_tokens": 2048,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 512,
-          "global_tokens": 4096,
-          "terminal_status": "measured",
-          "reason": null
-        }
-      ],
-      "outcome": "success",
-      "reason": null,
-      "detail": null
-    },
-    {
-      "case_id": "mi355x-mori-deepseek-v3-normal-decode-ep16-uniform-bf16",
-      "label": "mi355x · mori · normal · decode · EP16 · bf16",
-      "disposition": "runnable",
-      "sku": "mi355x",
-      "backend": "mori",
-      "phase": "decode",
-      "mode": "normal",
-      "precision": "bf16",
-      "topology": {
-        "ep_size": 16,
-        "nodes": 2,
-        "gpus_per_node": 8,
-        "scale_up_domain": 8,
-        "scale_up_transport": "xgmi",
-        "scale_out_transport": "rdma",
-        "topology_class": "mi355x-xgmi-rdma"
-      },
-      "points": [
-        {
-          "tokens_per_rank": 1,
-          "global_tokens": 16,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 2,
-          "global_tokens": 32,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 4,
-          "global_tokens": 64,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 8,
-          "global_tokens": 128,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 16,
-          "global_tokens": 256,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 32,
-          "global_tokens": 512,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 64,
-          "global_tokens": 1024,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 128,
-          "global_tokens": 2048,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 256,
-          "global_tokens": 4096,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 512,
-          "global_tokens": 8192,
-          "terminal_status": "measured",
-          "reason": null
-        }
-      ],
-      "outcome": "success",
-      "reason": null,
-      "detail": null
-    },
-    {
-      "case_id": "h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-fp8",
-      "label": "h200-dgxc · deepep-v2 · normal · decode · EP8 · fp8",
-      "disposition": "runnable",
-      "sku": "h200-dgxc",
-      "backend": "deepep-v2",
-      "phase": "decode",
-      "mode": "normal",
-      "precision": "fp8",
-      "topology": {
-        "ep_size": 8,
-        "nodes": 1,
-        "gpus_per_node": 8,
-        "scale_up_domain": 8,
-        "scale_up_transport": "nvlink",
-        "scale_out_transport": null,
-        "topology_class": "h200-nvlink-island"
-      },
-      "points": [
-        {
-          "tokens_per_rank": 1,
-          "global_tokens": 8,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 2,
-          "global_tokens": 16,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 4,
-          "global_tokens": 32,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 8,
-          "global_tokens": 64,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 16,
-          "global_tokens": 128,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 32,
-          "global_tokens": 256,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 64,
-          "global_tokens": 512,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 128,
-          "global_tokens": 1024,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 256,
-          "global_tokens": 2048,
-          "terminal_status": "measured",
-          "reason": null
-        },
-        {
-          "tokens_per_rank": 512,
-          "global_tokens": 4096,
-          "terminal_status": "measured",
-          "reason": null
-        }
-      ],
-      "outcome": "success",
-      "reason": null,
-      "detail": null
-    },
-    {
-      "case_id": "b300-deepep-v2-deepseek-v3-normal-decode-ep16-uniform-bf16",
-      "label": "b300 · deepep-v2 · normal · decode · EP16 · bf16",
-      "disposition": "unsupported",
-      "sku": "b300",
-      "backend": "deepep-v2",
-      "phase": "decode",
-      "mode": "normal",
-      "precision": "bf16",
-      "topology": {
-        "ep_size": 16,
-        "nodes": 2,
-        "gpus_per_node": 8,
-        "scale_up_domain": 8,
-        "scale_up_transport": "nvlink",
-        "scale_out_transport": "rdma",
-        "topology_class": "b300-nvlink-rdma"
-      },
-      "points": [
-        {
-          "tokens_per_rank": 1,
-          "global_tokens": 16,
-          "terminal_status": "unsupported",
-          "reason": "backend-platform-unsupported"
-        },
-        {
-          "tokens_per_rank": 2,
-          "global_tokens": 32,
-          "terminal_status": "unsupported",
-          "reason": "backend-platform-unsupported"
-        },
-        {
-          "tokens_per_rank": 4,
-          "global_tokens": 64,
-          "terminal_status": "unsupported",
-          "reason": "backend-platform-unsupported"
-        },
-        {
-          "tokens_per_rank": 8,
-          "global_tokens": 128,
-          "terminal_status": "unsupported",
-          "reason": "backend-platform-unsupported"
-        },
-        {
-          "tokens_per_rank": 16,
-          "global_tokens": 256,
-          "terminal_status": "unsupported",
-          "reason": "backend-platform-unsupported"
-        },
-        {
-          "tokens_per_rank": 32,
-          "global_tokens": 512,
-          "terminal_status": "unsupported",
-          "reason": "backend-platform-unsupported"
-        },
-        {
-          "tokens_per_rank": 64,
-          "global_tokens": 1024,
-          "terminal_status": "unsupported",
-          "reason": "backend-platform-unsupported"
-        },
-        {
-          "tokens_per_rank": 128,
-          "global_tokens": 2048,
-          "terminal_status": "unsupported",
-          "reason": "backend-platform-unsupported"
-        },
-        {
-          "tokens_per_rank": 256,
-          "global_tokens": 4096,
-          "terminal_status": "unsupported",
-          "reason": "backend-platform-unsupported"
-        },
-        {
-          "tokens_per_rank": 512,
-          "global_tokens": 8192,
-          "terminal_status": "unsupported",
-          "reason": "backend-platform-unsupported"
-        }
-      ],
-      "outcome": "unsupported",
-      "reason": "backend-platform-unsupported",
-      "detail": "unsupported by the selected backend/platform"
-    },
-    {
-      "case_id": "b200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-bf16",
-      "label": "b200-dgxc · deepep-v2 · normal · decode · EP8 · bf16",
-      "disposition": "runnable",
-      "sku": "b200-dgxc",
-      "backend": "deepep-v2",
-      "phase": "decode",
-      "mode": "normal",
-      "precision": "bf16",
-      "topology": {
-        "ep_size": 8,
-        "nodes": 1,
-        "gpus_per_node": 8,
-        "scale_up_domain": 8,
-        "scale_up_transport": "nvlink",
-        "scale_out_transport": null,
-        "topology_class": "b200-nvlink-island"
-      },
-      "points": [
-        {
-          "tokens_per_rank": 1,
-          "global_tokens": 8,
-          "terminal_status": "pending",
-          "reason": "pending"
-        },
-        {
-          "tokens_per_rank": 2,
-          "global_tokens": 16,
-          "terminal_status": "pending",
-          "reason": "pending"
-        },
-        {
-          "tokens_per_rank": 4,
-          "global_tokens": 32,
-          "terminal_status": "pending",
-          "reason": "pending"
-        },
-        {
-          "tokens_per_rank": 8,
-          "global_tokens": 64,
-          "terminal_status": "pending",
-          "reason": "pending"
-        },
-        {
-          "tokens_per_rank": 16,
-          "global_tokens": 128,
-          "terminal_status": "pending",
-          "reason": "pending"
-        },
-        {
-          "tokens_per_rank": 32,
-          "global_tokens": 256,
-          "terminal_status": "pending",
-          "reason": "pending"
-        },
-        {
-          "tokens_per_rank": 64,
-          "global_tokens": 512,
-          "terminal_status": "pending",
-          "reason": "pending"
-        },
-        {
-          "tokens_per_rank": 128,
-          "global_tokens": 1024,
-          "terminal_status": "pending",
-          "reason": "pending"
-        },
-        {
-          "tokens_per_rank": 256,
-          "global_tokens": 2048,
-          "terminal_status": "pending",
-          "reason": "pending"
-        },
-        {
-          "tokens_per_rank": 512,
-          "global_tokens": 4096,
-          "terminal_status": "pending",
-          "reason": "pending"
-        }
-      ],
-      "outcome": "pending",
-      "reason": "pending",
-      "detail": null
-    }
-  ],
-  "series": [
-    {
-      "series_id": "h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-bf16",
-      "phase": "decode",
-      "mode": "normal",
-      "precision": "bf16",
-      "backend": "deepep-v2",
-      "system": {
-        "ep_size": 8,
-        "nodes": 1,
-        "gpus_per_node": 8,
-        "scale_up_domain": 8,
-        "scale_up_transport": "nvlink",
-        "scale_out_transport": null,
-        "topology_class": "h200-nvlink-island",
-        "sku": "h200-dgxc",
-        "vendor": "nvidia"
-      },
-      "points": [
-        {
-          "tokens_per_rank": 1,
-          "global_tokens": 8,
-          "components": {
-            "dispatch": {
-              "latency_us": {
-                "p50": 417,
-                "p90": 450.36,
-                "p95": 467.04,
-                "p99": 500.4
-              },
-              "activation_data_rate_gbps_at_latency_percentile": {
-                "p50": 922.6952134292566,
-                "p90": 854.3474198419042,
-                "p95": 823.8350119904076,
-                "p99": 768.9126778577139
-              },
-              "payload_data_rate_gbps_at_latency_percentile": {
-                "p50": 119.90407673860912,
-                "p90": 111.02229327648992,
-                "p95": 107.05721137375814,
-                "p99": 99.92006394884093
-              },
-              "payload_bytes": 400000000
-            },
-            "stage": {
-              "latency_us": {
-                "p50": 120,
-                "p90": 129.60000000000002,
-                "p95": 134.4,
-                "p99": 144
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-                "p50": 1603.1829333333335,
-                "p90": 1484.4286419753084,
-                "p95": 1431.4133333333332,
-                "p99": 1335.9857777777777
-              },
-              "payload_data_rate_gbps_at_latency_percentile": {
-                "p50": 200.3978666666667,
-                "p90": 185.55358024691355,
-                "p95": 178.92666666666665,
-                "p99": 166.9982222222222
-              },
-              "payload_bytes": 192381952
-            },
-            "combine": {
-              "latency_us": {
-                "p50": 392,
-                "p90": 423.36,
-                "p95": 439.04,
-                "p99": 470.4
-              },
-              "activation_data_rate_gbps_at_latency_percentile": {
-                "p50": 981.5405714285715,
-                "p90": 908.8338624338625,
-                "p95": 876.3755102040816,
-                "p99": 817.9504761904763
-              },
-              "payload_data_rate_gbps_at_latency_percentile": {
-                "p50": 122.69257142857144,
-                "p90": 113.60423280423281,
-                "p95": 109.5469387755102,
-                "p99": 102.24380952380953
-              },
-              "payload_bytes": 384763904
-            },
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diff --git a/packages/app/cypress/fixtures/api/collectivex-runs.json b/packages/app/cypress/fixtures/api/collectivex-runs.json
index 57b709a6b..d72ff4f2c 100644
--- a/packages/app/cypress/fixtures/api/collectivex-runs.json
+++ b/packages/app/cypress/fixtures/api/collectivex-runs.json
@@ -1,21 +1 @@
-{
-  "version": 1,
-  "runs": [
-    {
-      "run_id": "160",
-      "run_attempt": 1,
-      "generated_at": "2026-07-08T12:20:00Z",
-      "conclusion": "success",
-      "covered_skus": ["b200-dgxc", "b300", "h200-dgxc", "mi355x"],
-      "requested_cases": 5,
-      "measured_cases": 3,
-      "requested_points": 50,
-      "terminal_points": 40,
-      "terminal_counts": {
-        "measured": 3,
-        "unsupported": 1,
-        "failed": 0
-      }
-    }
-  ]
-}
+{"version":1,"runs":[{"run_id":"160","run_attempt":1,"generated_at":"2026-07-08T12:20:00Z","conclusion":"success","covered_skus":["b200-dgxc","b300","h200-dgxc","mi355x"],"requested_cases":5,"measured_cases":3,"requested_points":50,"terminal_points":40,"terminal_counts":{"measured":3,"unsupported":1,"failed":0}}]}

From 3440cf46700baeb50173e3dda89839cd197b93cb Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Sun, 26 Jul 2026 16:38:53 +0800
Subject: [PATCH 23/37] fix(collectivex): unblock the component-test and format
 checks

Two red checks on this branch, unrelated to each other.

components/collectivex/types.ts re-exported the shared db types with
`export * from`, and Next's SWC loader rejects a star re-export anywhere in a
page's module graph ("Using `export * from '...'` in a page is disallowed").
The /collectivex page reaches this module through CollectiveXDisplay, so every
Cypress component spec failed at module build. Re-export the 18 types and 3
values explicitly.

.agents/skills/neon/SKILL.md was not oxfmt-clean, which fails `oxfmt --check`
repo-wide (it covers markdown, not just TS). Formatted, no content change.
---
 .agents/skills/neon/SKILL.md                  |  8 ++---
 .../app/src/components/collectivex/types.ts   | 29 ++++++++++++++++++-
 2 files changed, 30 insertions(+), 7 deletions(-)

diff --git a/.agents/skills/neon/SKILL.md b/.agents/skills/neon/SKILL.md
index d473be14f..d5dca78cb 100644
--- a/.agents/skills/neon/SKILL.md
+++ b/.agents/skills/neon/SKILL.md
@@ -212,12 +212,8 @@ export default defineConfig({
   auth: true,
   dataApi: true,
   preview: {
-    functions: {
-      /* ... */
-    }, // see the neon-functions skill
-    buckets: {
-      /* ... */
-    }, // see the neon-object-storage skill
+    functions: {/* ... */}, // see the neon-functions skill
+    buckets: {/* ... */}, // see the neon-object-storage skill
     aiGateway: true, // see the neon-ai-gateway skill
   },
 });
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
index 1f15832da..26ff61725 100644
--- a/packages/app/src/components/collectivex/types.ts
+++ b/packages/app/src/components/collectivex/types.ts
@@ -10,7 +10,34 @@ import type {
   CollectiveXVersion,
 } from '@semianalysisai/inferencex-db/collectivex/types';
 
-export * from '@semianalysisai/inferencex-db/collectivex/types';
+// Re-exported explicitly rather than with `export *`: Next's SWC loader rejects a
+// star re-export anywhere in a page's module graph ("Using `export * from '...'` in
+// a page is disallowed"), and this module is reached from the /collectivex page.
+export type {
+  CollectiveXComponent,
+  CollectiveXCoverage,
+  CollectiveXCoveragePoint,
+  CollectiveXDataset,
+  CollectiveXMode,
+  CollectiveXOperation,
+  CollectiveXOutcome,
+  CollectiveXPercentile,
+  CollectiveXPercentiles,
+  CollectiveXPhase,
+  CollectiveXPoint,
+  CollectiveXPrecision,
+  CollectiveXRun,
+  CollectiveXRunSummary,
+  CollectiveXSeries,
+  CollectiveXTerminalStatus,
+  CollectiveXTopology,
+  CollectiveXVersion,
+} from '@semianalysisai/inferencex-db/collectivex/types';
+export {
+  COLLECTIVEX_DEFAULT_VERSION,
+  COLLECTIVEX_VERSIONS,
+  parseCollectiveXVersion,
+} from '@semianalysisai/inferencex-db/collectivex/types';
 
 export const collectiveXVersionLabel = (version: CollectiveXVersion): string => `V${version}`;
 

From 2d472da1228652b0bd9d47e4683d82928f5092e4 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Sun, 26 Jul 2026 16:39:15 +0800
Subject: [PATCH 24/37] fix(collectivex): validate values that reach shells and
 regexes

Three findings from review, all the same shape: a caller-supplied value used
without validation in a context that gives it meaning beyond a string.

- fetchRunMeta interpolated repo and runId straight into an execSync command.
  Some callers validate, but the helper is exported and cannot rely on that, so
  it now rejects anything that is not `owner/name` and a digits-only run id.
- ingest-collectivex validated the repo slug but took INGEST_RUN_ID verbatim in
  the env-var path; only --download parsed a numeric id. Validation now sits
  where both modes converge, before any `gh api` call.
- selectShardArtifactNames interpolated runId into a RegExp, so a value with
  metacharacters changed what the pattern matched (CodeQL: regular expression
  injection) and could make the neighbouring `.+` backtrack badly. Escaped.

Reported by CodeQL (alert 22) and Copilot on #497.
---
 packages/db/src/collectivex/artifact-selection.ts | 13 ++++++++++++-
 packages/db/src/ingest-collectivex.ts             |  8 +++++++-
 packages/db/src/lib/github-artifacts.ts           | 15 ++++++++++++++-
 3 files changed, 33 insertions(+), 3 deletions(-)

diff --git a/packages/db/src/collectivex/artifact-selection.ts b/packages/db/src/collectivex/artifact-selection.ts
index 5f94faea8..a0dc989b1 100644
--- a/packages/db/src/collectivex/artifact-selection.ts
+++ b/packages/db/src/collectivex/artifact-selection.ts
@@ -14,6 +14,11 @@ export function matrixArtifactName(runId: string): string {
   return `${MATRIX_PREFIX}${runId}`;
 }
 
+/** Escape regex metacharacters so an interpolated value matches literally. */
+function escapeRegExp(value: string): string {
+  return value.replaceAll(/[.*+?^${}()|[\]\\]/gu, String.raw`\$&`);
+}
+
 /**
  * Pick the shard artifact names to ingest: keep the highest attempt ≤ the
  * run's current attempt per cell (a re-run attempt supersedes its
@@ -25,7 +30,13 @@ export function selectShardArtifactNames(
   runId: string,
   runAttempt: number,
 ): string[] {
-  const pattern = new RegExp(`^${SHARD_PREFIX}(?<cell>.+)-${runId}-(?<attempt>[1-9][0-9]*)$`, 'u');
+  // runId is interpolated into a pattern, so escape it: an unescaped caller value
+  // would change what this matches (regular expression injection), and a crafted
+  // one could make the `.+` prefix backtrack pathologically.
+  const pattern = new RegExp(
+    `^${SHARD_PREFIX}(?<cell>.+)-${escapeRegExp(runId)}-(?<attempt>[1-9][0-9]*)$`,
+    'u',
+  );
   const selected = new Map<string, { name: string; attempt: number }>();
   for (const name of names) {
     const match = pattern.exec(name);
diff --git a/packages/db/src/ingest-collectivex.ts b/packages/db/src/ingest-collectivex.ts
index c11a7eb58..b127bcedb 100644
--- a/packages/db/src/ingest-collectivex.ts
+++ b/packages/db/src/ingest-collectivex.ts
@@ -97,11 +97,17 @@ if (isDownloadMode) {
   artifactsDir = artifactsPath;
 }
 
-// The repo slug reaches shell-interpolated `gh api` calls — reject metachars.
+// Both reach shell-interpolated `gh api` calls — reject metachars. --download
+// parses its run id out of a URL or a digits-only argument, but the env-var path
+// takes INGEST_RUN_ID verbatim, so validate here where both modes converge.
 if (!/^[\w.-]+\/[\w.-]+$/u.test(REPO)) {
   console.error(`Invalid repo slug: ${REPO}`);
   process.exit(1);
 }
+if (!/^\d+$/u.test(runIdStr)) {
+  console.error(`Invalid run id: ${runIdStr}`);
+  process.exit(1);
+}
 
 // ── Artifact reading ────────────────────────────────────────────────────────
 
diff --git a/packages/db/src/lib/github-artifacts.ts b/packages/db/src/lib/github-artifacts.ts
index b9e6ef4be..67827855e 100644
--- a/packages/db/src/lib/github-artifacts.ts
+++ b/packages/db/src/lib/github-artifacts.ts
@@ -101,8 +101,21 @@ export interface RunMeta {
   created_at?: string | null;
 }
 
-/** Fetch a workflow run's metadata via `gh api`. */
+/**
+ * Fetch a workflow run's metadata via `gh api`.
+ *
+ * Both arguments land in a shell-interpolated command, so they are validated
+ * here rather than trusted from the caller: this helper is exported and its
+ * callers' own checks are not guaranteed. A run id is always digits and a repo
+ * slug is `owner/name`, so anything else is rejected outright.
+ */
 export function fetchRunMeta(repo: string, runId: string): RunMeta {
+  if (!/^[\w.-]+\/[\w.-]+$/u.test(repo)) {
+    throw new Error(`Invalid repo slug: ${repo}`);
+  }
+  if (!/^\d+$/u.test(runId)) {
+    throw new Error(`Invalid run id: ${runId}`);
+  }
   const json = execSync(`gh api "repos/${repo}/actions/runs/${runId}"`, {
     encoding: 'utf8',
     maxBuffer: 10 * 1024 * 1024,

From cdbf62159bf4a91f5520fa13607841ced847d058 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Sun, 26 Jul 2026 16:39:33 +0800
Subject: [PATCH 25/37] fix(collectivex): scope the CDN cache tag to the
 environment
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

CollectiveX responses were tagged with a bare `collectivex`, while the main
database tag is namespaced (`db:<CACHE_NAMESPACE>`). Deployments that share a
Vercel project share its cache tags, so purging `collectivex` in one
environment dropped every other environment's cached CollectiveX responses.

Add collectiveXCacheTag(), namespaced the same way, and use it for both the
response tag and the revalidateTag purge. COLLECTIVEX_CACHE_SCOPE stays bare on
purpose: it is the public identifier accepted by /api/v1/invalidate?scope=, not
a cache key. The route tests mock @/lib/api-cache wholesale, so they gain the
new export — without it the handler threw and the route answered 500.

Reported by Copilot on #497.
---
 .../app/api/v1/collectivex/latest/route.test.ts   |  1 +
 .../src/app/api/v1/collectivex/latest/route.ts    |  4 ++--
 .../api/v1/collectivex/runs/[runId]/route.test.ts |  1 +
 .../app/api/v1/collectivex/runs/[runId]/route.ts  |  4 ++--
 .../src/app/api/v1/collectivex/runs/route.test.ts |  1 +
 .../app/src/app/api/v1/collectivex/runs/route.ts  |  4 ++--
 packages/app/src/lib/api-cache.ts                 | 15 ++++++++++++++-
 7 files changed, 23 insertions(+), 7 deletions(-)

diff --git a/packages/app/src/app/api/v1/collectivex/latest/route.test.ts b/packages/app/src/app/api/v1/collectivex/latest/route.test.ts
index 7812d185e..da3ee6929 100644
--- a/packages/app/src/app/api/v1/collectivex/latest/route.test.ts
+++ b/packages/app/src/app/api/v1/collectivex/latest/route.test.ts
@@ -34,6 +34,7 @@ vi.mock('@/lib/api-cache', () => ({
   COLLECTIVEX_CACHE_SCOPE: 'collectivex',
   COLLECTIVEX_CACHE_CONTROL: 'public, max-age=0, s-maxage=60',
   cachedJson: (data: unknown) => Response.json(data),
+  collectiveXCacheTag: () => 'collectivex',
 }));
 
 import { NextRequest } from 'next/server';
diff --git a/packages/app/src/app/api/v1/collectivex/latest/route.ts b/packages/app/src/app/api/v1/collectivex/latest/route.ts
index 52010b9be..264b5a842 100644
--- a/packages/app/src/app/api/v1/collectivex/latest/route.ts
+++ b/packages/app/src/app/api/v1/collectivex/latest/route.ts
@@ -7,7 +7,7 @@ import {
   getLatestCollectiveXRun,
 } from '@semianalysisai/inferencex-db/queries/collectivex';
 
-import { COLLECTIVEX_CACHE_CONTROL, COLLECTIVEX_CACHE_SCOPE, cachedJson } from '@/lib/api-cache';
+import { COLLECTIVEX_CACHE_CONTROL, cachedJson, collectiveXCacheTag } from '@/lib/api-cache';
 import {
   collectiveXSweepErrorStatus,
   ensureLatestCollectiveXRun,
@@ -39,7 +39,7 @@ export async function GET(request: NextRequest) {
       if (ensureError)
         console.error('CollectiveX discovery failed; serving stored run:', ensureError);
       return cachedJson(collectiveXDatasetFromRow(row), {
-        tag: COLLECTIVEX_CACHE_SCOPE,
+        tag: collectiveXCacheTag(),
         cacheControl: COLLECTIVEX_CACHE_CONTROL,
       });
     }
diff --git a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.test.ts b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.test.ts
index cfd20042b..0e2cebbf6 100644
--- a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.test.ts
+++ b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.test.ts
@@ -40,6 +40,7 @@ vi.mock('@/lib/api-cache', () => ({
   COLLECTIVEX_CACHE_SCOPE: 'collectivex',
   COLLECTIVEX_CACHE_CONTROL: 'public, max-age=0, s-maxage=60',
   cachedJson: (data: unknown) => Response.json(data),
+  collectiveXCacheTag: () => 'collectivex',
   purgeCollectiveX: mockPurge,
 }));
 
diff --git a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
index 44469d14d..92dc606a3 100644
--- a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
+++ b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
@@ -16,7 +16,7 @@ import {
 
 import {
   COLLECTIVEX_CACHE_CONTROL,
-  COLLECTIVEX_CACHE_SCOPE,
+  collectiveXCacheTag,
   cachedJson,
   purgeCollectiveX,
 } from '@/lib/api-cache';
@@ -45,7 +45,7 @@ export async function GET(request: NextRequest, context: { params: Promise<{ run
     // Short window like the sibling routes: a GitHub re-run of failed shards
     // refreshes this run's stored contents, and deletion must not linger.
     return cachedJson(collectiveXDatasetFromRow(row), {
-      tag: COLLECTIVEX_CACHE_SCOPE,
+      tag: collectiveXCacheTag(),
       cacheControl: COLLECTIVEX_CACHE_CONTROL,
     });
   } catch (error) {
diff --git a/packages/app/src/app/api/v1/collectivex/runs/route.test.ts b/packages/app/src/app/api/v1/collectivex/runs/route.test.ts
index a9d3772ec..a15f6148f 100644
--- a/packages/app/src/app/api/v1/collectivex/runs/route.test.ts
+++ b/packages/app/src/app/api/v1/collectivex/runs/route.test.ts
@@ -33,6 +33,7 @@ vi.mock('@/lib/api-cache', () => ({
   COLLECTIVEX_CACHE_SCOPE: 'collectivex',
   COLLECTIVEX_CACHE_CONTROL: 'public, max-age=0, s-maxage=60',
   cachedJson: (data: unknown) => Response.json(data),
+  collectiveXCacheTag: () => 'collectivex',
 }));
 
 import { NextRequest } from 'next/server';
diff --git a/packages/app/src/app/api/v1/collectivex/runs/route.ts b/packages/app/src/app/api/v1/collectivex/runs/route.ts
index 317684220..daeab5c07 100644
--- a/packages/app/src/app/api/v1/collectivex/runs/route.ts
+++ b/packages/app/src/app/api/v1/collectivex/runs/route.ts
@@ -4,7 +4,7 @@ import { parseCollectiveXVersion } from '@semianalysisai/inferencex-db/collectiv
 import { FIXTURES_MODE, getCollectiveXDb } from '@semianalysisai/inferencex-db/connection';
 import { listCollectiveXRuns } from '@semianalysisai/inferencex-db/queries/collectivex';
 
-import { COLLECTIVEX_CACHE_CONTROL, COLLECTIVEX_CACHE_SCOPE, cachedJson } from '@/lib/api-cache';
+import { COLLECTIVEX_CACHE_CONTROL, cachedJson, collectiveXCacheTag } from '@/lib/api-cache';
 import {
   collectiveXSweepErrorStatus,
   ensureCollectiveXRunsList,
@@ -42,7 +42,7 @@ export async function GET(request: NextRequest) {
     }
     return cachedJson(
       { version, runs },
-      { tag: COLLECTIVEX_CACHE_SCOPE, cacheControl: COLLECTIVEX_CACHE_CONTROL },
+      { tag: collectiveXCacheTag(), cacheControl: COLLECTIVEX_CACHE_CONTROL },
     );
   } catch (error) {
     console.error('Error listing CollectiveX runs:', error);
diff --git a/packages/app/src/lib/api-cache.ts b/packages/app/src/lib/api-cache.ts
index 62738b587..b63e725ce 100644
--- a/packages/app/src/lib/api-cache.ts
+++ b/packages/app/src/lib/api-cache.ts
@@ -10,6 +10,19 @@ import { blobGet, blobPurge, blobSet } from './blob-cache';
  */
 export const COLLECTIVEX_CACHE_SCOPE = 'collectivex';
 
+/**
+ * CDN/unstable_cache tag for CollectiveX responses, namespaced the same way as
+ * the main database tag. Environments that share a Vercel project share its
+ * cache tags, so an unnamespaced `collectivex` would let a purge in one
+ * environment drop another's cached responses. `COLLECTIVEX_CACHE_SCOPE` stays
+ * unnamespaced on purpose — it is the public identifier callers pass to
+ * `/api/v1/invalidate?scope=`.
+ */
+export function collectiveXCacheTag(): string {
+  const namespace = cacheNamespace();
+  return namespace ? `${COLLECTIVEX_CACHE_SCOPE}:${namespace}` : COLLECTIVEX_CACHE_SCOPE;
+}
+
 /**
  * Short CDN window shared by the CollectiveX latest/runs routes: new sweep
  * runs are discovered lazily at the origin, so freshness is bounded by this
@@ -84,7 +97,7 @@ export async function purgeAll(): Promise<number> {
  * tag.
  */
 export function purgeCollectiveX(): void {
-  revalidateTag(COLLECTIVEX_CACHE_SCOPE, { expire: 0 });
+  revalidateTag(collectiveXCacheTag(), { expire: 0 });
 }
 
 /**

From 1dddb6b02b7e406eb7fba10eccb8343cda49251b Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Sun, 26 Jul 2026 16:39:39 +0800
Subject: [PATCH 26/37] perf(collectivex): index cx_run_docs for the reader's
 filter and sort
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Migration 002 added run_attempt, but cx_run_docs stayed indexed on run_id
alone while every doc read filters `run_id = ... and run_attempt = ...` and
orders by id. A run holds one document per shard — 120 for a full 9-SKU sweep —
so the attempt filter and the ordering were resolved per row.

Index (run_id, run_attempt, id) so one index serves the filter and the sort.
Added as 003 rather than an edit to 002: the runner skips already-applied
files, so amending 002 would silently do nothing where it has already run.

Reported by Copilot on #497.
---
 .../003_docs_attempt_index.sql                     | 14 ++++++++++++++
 1 file changed, 14 insertions(+)
 create mode 100644 packages/db/migrations-collectivex/003_docs_attempt_index.sql

diff --git a/packages/db/migrations-collectivex/003_docs_attempt_index.sql b/packages/db/migrations-collectivex/003_docs_attempt_index.sql
new file mode 100644
index 000000000..19c28f99d
--- /dev/null
+++ b/packages/db/migrations-collectivex/003_docs_attempt_index.sql
@@ -0,0 +1,14 @@
+-- Index cx_run_docs the way readers actually query it.
+--
+-- 002 added run_attempt, and every doc read filters on the pair and orders by id
+-- (`where run_id = ... and run_attempt = ... order by id`), but the table was
+-- still indexed on run_id alone. A run holds one document per shard — 120 for a
+-- full 9-SKU sweep — so the old index left the attempt filter and the ordering to
+-- be resolved per row.
+--
+-- Ordering the index by (run_id, run_attempt, id) lets the same index satisfy the
+-- filter and the sort. Kept as a separate migration rather than an edit to 002:
+-- the runner skips already-applied files, so amending 002 would silently do
+-- nothing wherever it has already run.
+
+create index if not exists cx_run_docs_run_attempt_id_idx on cx_run_docs (run_id, run_attempt, id);

From 7fa732452aa14e39f678d87f38087e1597672573 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Sun, 26 Jul 2026 17:21:07 +0800
Subject: [PATCH 27/37] refactor(collectivex): one shard-selection
 implementation for both ingests

The CLI and the lazy ingest each carried their own copy of the attempt-selection
rule, and the copies had already drifted: the lazy one broke same-attempt ties on
the greater artifact id, the CLI one kept whichever it saw first. GitHub permits a
repeated artifact name within a run, and the reader keeps the first shard per
case_id, so the same run could resolve to different documents depending on which
path ingested it.

Generalise the db helper to selectShardArtifacts<T extends {name, id?}>, keeping
the id tie-break where callers have ids and first-match where they do not, and
have selectShardArtifactNames wrap it. The lazy ingest now calls that helper and
matrixArtifactName instead of re-deriving both, which also drops its private
MATRIX_PREFIX/SHARD_PREFIX copies and the unescaped run-id interpolation that
mirrored the pattern CodeQL flagged in the other copy.

Also fix a latent mislabel next door: measuredPoints ran Math.max() over an empty
row set for a success shard with no measurements, giving -Infinity, so every
ladder point compared "beyond the largest measured" and the case was reported as
a backend token-capacity wall that was never observed. Nothing measured now reads
as pending/not-measured.

Tests: same-attempt id tie-break, first-match without ids, a run id containing
regex metacharacters, the empty-row shard, and a scope test pinning the delete
statement to one run and the two CollectiveX tables.
---
 .../app/src/lib/collectivex-lazy-ingest.ts    | 34 +++-------
 .../collectivex/artifact-selection.test.ts    | 32 +++++++++-
 .../db/src/collectivex/artifact-selection.ts  | 63 ++++++++++++++-----
 packages/db/src/collectivex/reader.test.ts    | 10 +++
 packages/db/src/collectivex/reader.ts         | 35 ++++++-----
 packages/db/src/queries/collectivex.test.ts   | 20 ++++++
 6 files changed, 139 insertions(+), 55 deletions(-)

diff --git a/packages/app/src/lib/collectivex-lazy-ingest.ts b/packages/app/src/lib/collectivex-lazy-ingest.ts
index a1b70596e..ed0a370f4 100644
--- a/packages/app/src/lib/collectivex-lazy-ingest.ts
+++ b/packages/app/src/lib/collectivex-lazy-ingest.ts
@@ -26,6 +26,10 @@ import {
   isMatrixDoc,
   matrixVersion,
 } from '@semianalysisai/inferencex-db/collectivex/reader';
+import {
+  matrixArtifactName,
+  selectShardArtifacts,
+} from '@semianalysisai/inferencex-db/collectivex/artifact-selection';
 import type { CollectiveXVersion } from '@semianalysisai/inferencex-db/collectivex/types';
 import { getCollectiveXDb, getCollectiveXWriteDb } from '@semianalysisai/inferencex-db/connection';
 import {
@@ -40,10 +44,6 @@ const WORKFLOW_NAME = 'CollectiveX Sweep';
 const RUNS_PER_PAGE = 100;
 const ARTIFACTS_PER_PAGE = 100;
 
-// Artifact families uploaded by the sweep.
-const MATRIX_PREFIX = 'cxsweep-matrix-';
-const SHARD_PREFIX = 'cxshard-';
-
 const MAX_ARTIFACT_BYTES = 64 * 1024 * 1024;
 const MAX_RUN_BYTES = 256 * 1024 * 1024;
 const REQUEST_TIMEOUT_MS = 30_000;
@@ -302,7 +302,7 @@ async function listArtifacts(runId: number, token: string): Promise<GithubArtifa
 }
 
 function hasMatrixArtifact(artifacts: GithubArtifact[], run: WorkflowRun): boolean {
-  return artifacts.some((artifact) => artifact.name === `${MATRIX_PREFIX}${run.id}`);
+  return artifacts.some((artifact) => artifact.name === matrixArtifactName(String(run.id)));
 }
 
 async function collectDocs(artifact: GithubArtifact, token: string): Promise<unknown[]> {
@@ -361,25 +361,9 @@ interface MatrixCandidate {
 }
 
 function resultArtifactsForRun(artifacts: GithubArtifact[], run: WorkflowRun): GithubArtifact[] {
-  const suffix = new RegExp(`^${SHARD_PREFIX}(.+)-${run.id}-([1-9][0-9]*)$`, 'u');
-  const selected = new Map<string, { artifact: GithubArtifact; attempt: number }>();
-  for (const artifact of artifacts) {
-    const match = suffix.exec(artifact.name);
-    if (!match) continue;
-    const attempt = Number(match[2]);
-    if (attempt > run.run_attempt) continue;
-    const previous = selected.get(match[1]);
-    if (
-      !previous ||
-      attempt > previous.attempt ||
-      (attempt === previous.attempt && artifact.id > previous.artifact.id)
-    ) {
-      selected.set(match[1], { artifact, attempt });
-    }
-  }
-  return [...selected.values()]
-    .map(({ artifact }) => artifact)
-    .toSorted((left, right) => left.name.localeCompare(right.name));
+  return selectShardArtifacts(artifacts, String(run.id), run.run_attempt).toSorted((left, right) =>
+    left.name.localeCompare(right.name),
+  );
 }
 
 async function loadMatrixCandidate(
@@ -388,7 +372,7 @@ async function loadMatrixCandidate(
   run: WorkflowRun,
 ): Promise<MatrixCandidate> {
   const matrixArtifacts = artifacts
-    .filter((artifact) => artifact.name === `${MATRIX_PREFIX}${run.id}`)
+    .filter((artifact) => artifact.name === matrixArtifactName(String(run.id)))
     .toSorted((left, right) => right.id - left.id)
     .slice(0, 1);
   if (matrixArtifacts.length === 0) {
diff --git a/packages/db/src/collectivex/artifact-selection.test.ts b/packages/db/src/collectivex/artifact-selection.test.ts
index 3c6d83211..78622dfe1 100644
--- a/packages/db/src/collectivex/artifact-selection.test.ts
+++ b/packages/db/src/collectivex/artifact-selection.test.ts
@@ -1,8 +1,12 @@
 import { describe, expect, it } from 'vitest';
 
-import { matrixArtifactName, selectShardArtifactNames } from './artifact-selection';
+import {
+  matrixArtifactName,
+  selectShardArtifactNames,
+  selectShardArtifacts,
+} from './artifact-selection';
 
-describe('selectShardArtifactNames', () => {
+describe('shard artifact selection', () => {
   it('selects one artifact per cell, sorted by name', () => {
     expect(
       selectShardArtifactNames(
@@ -33,6 +37,30 @@ describe('selectShardArtifactNames', () => {
       selectShardArtifactNames(['cxshard-a-160-0', 'other-160-1', 'cxshard-a-999-1'], '160', 1),
     ).toEqual([]);
   });
+  it('breaks same-attempt ties on the later artifact id', () => {
+    // GitHub permits a repeated artifact name within one run; the lazy ingest has
+    // ids and must keep the later upload. Both ingest paths share this selector,
+    // so the tie-break cannot drift between them again.
+    const artifacts = [
+      { name: 'cxshard-a-160-1', id: 10 },
+      { name: 'cxshard-a-160-1', id: 42 },
+    ];
+    expect(selectShardArtifacts(artifacts, '160', 1)).toEqual([
+      { name: 'cxshard-a-160-1', id: 42 },
+    ]);
+  });
+
+  it('keeps the first match when callers supply no ids', () => {
+    // The names-only path has no id to compare, so it stays deterministic on input order.
+    expect(
+      selectShardArtifacts([{ name: 'cxshard-a-160-1' }, { name: 'cxshard-a-160-1' }], '160', 1),
+    ).toHaveLength(1);
+  });
+
+  it('treats a run id with regex metacharacters literally', () => {
+    // The id is interpolated into the pattern; an unescaped '.' would match any char.
+    expect(selectShardArtifactNames(['cxshard-a-1x0-1'], '1.0', 1)).toEqual([]);
+  });
 });
 
 describe('matrixArtifactName', () => {
diff --git a/packages/db/src/collectivex/artifact-selection.ts b/packages/db/src/collectivex/artifact-selection.ts
index a0dc989b1..ed16e43ea 100644
--- a/packages/db/src/collectivex/artifact-selection.ts
+++ b/packages/db/src/collectivex/artifact-selection.ts
@@ -19,17 +19,35 @@ function escapeRegExp(value: string): string {
   return value.replaceAll(/[.*+?^${}()|[\]\\]/gu, String.raw`\$&`);
 }
 
+/** Anything nameable as a shard artifact. `id` is optional — see the tie-break below. */
+export interface ShardArtifactRef {
+  name: string;
+  /** GitHub artifact id, when the caller has one. */
+  id?: number;
+}
+
 /**
- * Pick the shard artifact names to ingest: keep the highest attempt ≤ the
- * run's current attempt per cell (a re-run attempt supersedes its
- * predecessors; attempts above the run's own attempt cannot legitimately
- * exist and are ignored).
+ * Pick the shard artifacts to ingest: keep the highest attempt ≤ the run's
+ * current attempt per cell (a re-run attempt supersedes its predecessors;
+ * attempts above the run's own attempt cannot legitimately exist and are
+ * ignored).
+ *
+ * Both ingest paths — the CLI, which has only names, and the lazy ingest,
+ * which has full artifact records — share this one implementation. They used
+ * to carry separate copies that had already drifted apart on the tie-break
+ * below, which meant the same run could resolve to different documents
+ * depending on which path ingested it.
+ *
+ * Ties at the same attempt are broken by the greater `id` when callers supply
+ * one (GitHub permits repeated artifact names within a run, and the later
+ * upload is the one to keep); without ids the first match wins, so the
+ * names-only path stays deterministic on input order.
  */
-export function selectShardArtifactNames(
-  names: readonly string[],
+export function selectShardArtifacts<T extends ShardArtifactRef>(
+  artifacts: readonly T[],
   runId: string,
   runAttempt: number,
-): string[] {
+): T[] {
   // runId is interpolated into a pattern, so escape it: an unescaped caller value
   // would change what this matches (regular expression injection), and a crafted
   // one could make the `.+` prefix backtrack pathologically.
@@ -37,16 +55,33 @@ export function selectShardArtifactNames(
     `^${SHARD_PREFIX}(?<cell>.+)-${escapeRegExp(runId)}-(?<attempt>[1-9][0-9]*)$`,
     'u',
   );
-  const selected = new Map<string, { name: string; attempt: number }>();
-  for (const name of names) {
-    const match = pattern.exec(name);
+  const selected = new Map<string, { artifact: T; attempt: number }>();
+  for (const artifact of artifacts) {
+    const match = pattern.exec(artifact.name);
     if (!match) continue;
     const attempt = Number(match.groups!.attempt);
     if (attempt > runAttempt) continue;
     const previous = selected.get(match.groups!.cell);
-    if (!previous || attempt > previous.attempt) {
-      selected.set(match.groups!.cell, { name, attempt });
-    }
+    const supersedes =
+      !previous ||
+      attempt > previous.attempt ||
+      (attempt === previous.attempt && (artifact.id ?? -1) > (previous.artifact.id ?? -1));
+    if (supersedes) selected.set(match.groups!.cell, { artifact, attempt });
   }
-  return [...selected.values()].map((entry) => entry.name).toSorted();
+  return [...selected.values()].map((entry) => entry.artifact);
+}
+
+/** Name-only convenience wrapper over {@link selectShardArtifacts}, sorted for stable output. */
+export function selectShardArtifactNames(
+  names: readonly string[],
+  runId: string,
+  runAttempt: number,
+): string[] {
+  return selectShardArtifacts(
+    names.map((name) => ({ name })),
+    runId,
+    runAttempt,
+  )
+    .map((entry) => entry.name)
+    .toSorted();
 }
diff --git a/packages/db/src/collectivex/reader.test.ts b/packages/db/src/collectivex/reader.test.ts
index 59e097b62..57407ca83 100644
--- a/packages/db/src/collectivex/reader.test.ts
+++ b/packages/db/src/collectivex/reader.test.ts
@@ -145,6 +145,16 @@ describe('CollectiveX artifact assembly', () => {
     });
   });
 
+  it('does not read a success shard with no rows as a capacity wall', () => {
+    // Math.max() of no rows is -Infinity, which would put every ladder point
+    // "beyond the largest measured" and report a token-capacity limit that was
+    // never observed. Nothing was measured, so every point is pending.
+    const dataset = buildDataset({ shards: [makeRawShard({ rows: [] })] });
+    const points = dataset.coverage[0].points;
+    expect(points.map((point) => point.terminal_status)).toEqual(points.map(() => 'pending'));
+    expect(points.every((point) => point.reason === 'not-measured')).toBe(true);
+  });
+
   it('keeps unsupported and pending cases distinct', () => {
     const dataset = makeCollectiveXDataset();
     expect(dataset.coverage.find((row) => row.sku === 'b300')).toMatchObject({
diff --git a/packages/db/src/collectivex/reader.ts b/packages/db/src/collectivex/reader.ts
index 5cec68a0b..0dae4b021 100644
--- a/packages/db/src/collectivex/reader.ts
+++ b/packages/db/src/collectivex/reader.ts
@@ -228,22 +228,29 @@ function reasonId(value: string): string {
 
 function measuredPoints(shard: RawShard, kase: RawCase): CollectiveXCoveragePoint[] {
   const rows = new Map(shard.measurement.rows.map((row) => [row.tokens_per_rank, row]));
-  const largestMeasured = Math.max(...rows.keys());
+  // null when the shard measured nothing. `Math.max()` of an empty list is
+  // -Infinity, which would put every ladder point above the largest measured
+  // value and report a backend token-capacity limit that was never observed —
+  // an unmeasured case would read as a hard capability wall.
+  const largestMeasured = rows.size > 0 ? Math.max(...rows.keys()) : null;
   return ladderTokens(kase).map((tokens) => {
     const row = rows.get(tokens);
-    return row
-      ? {
-          tokens_per_rank: tokens,
-          global_tokens: row.global_tokens,
-          terminal_status: 'measured',
-          reason: null,
-        }
-      : {
-          tokens_per_rank: tokens,
-          global_tokens: tokens * kase.ep,
-          terminal_status: tokens > largestMeasured ? 'unsupported' : 'pending',
-          reason: tokens > largestMeasured ? 'backend-token-capacity' : 'not-measured',
-        };
+    if (row) {
+      return {
+        tokens_per_rank: tokens,
+        global_tokens: row.global_tokens,
+        terminal_status: 'measured' as const,
+        reason: null,
+      };
+    }
+    // Only a point beyond something we actually measured is evidence of a capacity limit.
+    const beyondCapacity = largestMeasured !== null && tokens > largestMeasured;
+    return {
+      tokens_per_rank: tokens,
+      global_tokens: tokens * kase.ep,
+      terminal_status: beyondCapacity ? ('unsupported' as const) : ('pending' as const),
+      reason: beyondCapacity ? 'backend-token-capacity' : 'not-measured',
+    };
   });
 }
 
diff --git a/packages/db/src/queries/collectivex.test.ts b/packages/db/src/queries/collectivex.test.ts
index d64fbdfe5..6a7ab7a71 100644
--- a/packages/db/src/queries/collectivex.test.ts
+++ b/packages/db/src/queries/collectivex.test.ts
@@ -133,6 +133,26 @@ describe('deleteCollectiveXRun', () => {
     const { sql } = fakeSql([[{ runs_deleted: 0 }]]);
     await expect(deleteCollectiveXRun(sql, '160')).resolves.toBe(false);
   });
+
+  it('cannot reach anything but the one run it is given', async () => {
+    // The delete route's Bearer token is held in browser localStorage, so the
+    // blast radius of a stolen token is whatever this statement can touch. It
+    // must stay: one run, in the two CollectiveX tables, and recoverable by
+    // re-ingesting the run from its GitHub artifacts.
+    const { sql, calls } = fakeSql([[{ runs_deleted: 1 }]]);
+    await deleteCollectiveXRun(sql, '160');
+    // The run id is the only value bound into the statement — no other row is nameable.
+    expect(calls[0].values).toEqual(['160']);
+    // Documents go only via the tombstoned CTE, never a free-standing predicate.
+    expect(calls[0].text).toContain(
+      'DELETE FROM cx_run_docs WHERE run_id IN (SELECT run_id FROM tombstoned)',
+    );
+    // No table outside the CollectiveX pair is referenced, and nothing is dropped.
+    expect(new Set([...calls[0].text.matchAll(/\bcx_[a-z_]+/gu)].map((match) => match[0]))).toEqual(
+      new Set(['cx_runs', 'cx_run_docs']),
+    );
+    expect(calls[0].text).not.toMatch(/\b(?:DROP|TRUNCATE|ALTER)\b/iu);
+  });
 });
 
 describe('collectiveXDatasetFromRow', () => {

From a4bcf9b3ceb4cf0131dca3c65bb092fba6aeefd6 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 29 Jul 2026 15:52:05 +0800
Subject: [PATCH 28/37] feat(collectivex): add multi-run explorer

---
 docs/collectivex.md                           |  16 +-
 packages/app/cypress/e2e/collectivex.cy.ts    | 150 +++-
 .../api/v1/collectivex/runs/[runId]/route.ts  |   2 +-
 .../src/app/api/v1/collectivex/runs/route.ts  |   2 +-
 .../collectivex/CollectiveXChart.tsx          |   6 +-
 .../collectivex/CollectiveXDisplay.tsx        | 799 +++++++++---------
 .../collectivex/CollectiveXInventory.tsx      |  37 +-
 .../collectivex/CollectiveXRunsTable.tsx      | 200 +++++
 .../src/components/collectivex/data.test.ts   |  27 +
 .../app/src/components/collectivex/data.ts    |  23 +-
 .../app/src/components/collectivex/types.ts   |   6 +
 packages/app/src/hooks/api/use-collectivex.ts |  33 +-
 .../app/src/lib/collectivex-lazy-ingest.ts    |   6 +-
 packages/db/src/queries/collectivex.test.ts   |   1 +
 packages/db/src/queries/collectivex.ts        |   6 +-
 15 files changed, 845 insertions(+), 469 deletions(-)
 create mode 100644 packages/app/src/components/collectivex/CollectiveXRunsTable.tsx

diff --git a/docs/collectivex.md b/docs/collectivex.md
index 5fdcf82fc..393cf1c87 100644
--- a/docs/collectivex.md
+++ b/docs/collectivex.md
@@ -28,7 +28,7 @@ routes call before reading the DB (`packages/db/src/queries/collectivex.ts`):
 
 - `ensureLatestCollectiveXRun` — walk GitHub's completed sweep runs newest-first; stop at
   the first live requested-version run; persist it if absent.
-- `ensureCollectiveXRunsList` — backfill up to 8 recent runs so the picker lists sweeps
+- `ensureCollectiveXRunsList` — backfill up to 8 recent runs so the run table lists sweeps
   nobody has viewed yet.
 - `ensureCollectiveXRun` — fetch one run by id (only if completed — persisting an
   in-progress run would freeze a partial snapshot).
@@ -58,6 +58,20 @@ Key invariants:
   `COLLECTIVEX_ADMIN_SECRET` (delete route Bearer token — deliberately not
   INVALIDATE_SECRET, since it is remembered in browser localStorage), and `GITHUB_TOKEN`.
 
+## Multi-run explorer
+
+The frontend always loads every stored live run summary for the selected benchmark version. The
+summary query has no arbitrary row cap and does not load artifact documents. Each table row has a
+visibility checkbox; checking a run fetches its cached dataset through
+`/api/v1/collectivex/runs/[runId]`. Checked datasets are combined client-side, and the EP, phase,
+kernel mode, precision, SKU, and backend controls filter their combined series.
+
+Series ids, labels, and color keys are namespaced by GitHub Actions run id before rendering, so the
+same matrix case from two runs remains independently toggleable and visually distinct. The newest
+run with measured cases is checked by default; newer incomplete sweeps remain listed but cannot
+blank the initial explorer. Deletion is a row action in the run table and keeps the same tombstone
+semantics described above.
+
 ## The raw-rows exception
 
 CollectiveX routes return the **assembled** dataset (reader over stored matrix + docs)
diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index cf40502fe..3d7d66072 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -12,31 +12,45 @@ import type { CollectiveXDataset } from '@/components/collectivex/types';
 const SOURCE_SHA = 'c'.repeat(40);
 const dataset = makeCollectiveXDataset();
 const runId = dataset.run.run_id;
+const comparisonDataset = buildDataset({
+  shards: [makeRawShard(), makeRawShard({ precision: 'fp8' })],
+  meta: {
+    run_id: '159',
+    generated_at: '2026-07-07T12:20:00Z',
+    source_sha: 'd'.repeat(40),
+  },
+});
+const incompleteDataset = buildDataset({
+  shards: [],
+  meta: {
+    run_id: '161',
+    generated_at: '2026-07-09T12:20:00Z',
+    conclusion: 'failure',
+  },
+});
 const ADMIN_TOKEN_KEY = 'collectivex-admin-token';
 
-function installLatest(body: CollectiveXDataset | Record<string, unknown> = dataset) {
-  cy.intercept('GET', '/api/v1/collectivex/latest*', { body }).as('latest');
-}
-
-function installRuns() {
+function installRuns(bodies: CollectiveXDataset[] = [dataset]) {
   cy.intercept('GET', '/api/v1/collectivex/runs?*', {
-    body: { version: 1, runs: [buildRunSummary(dataset)] },
+    body: { version: 1, runs: bodies.map(buildRunSummary) },
   }).as('runs');
 }
 
-function installRun(body: CollectiveXDataset = dataset) {
-  cy.intercept('GET', `/api/v1/collectivex/runs/${runId}*`, { body }).as('run');
+function installRun(body: CollectiveXDataset = dataset, alias = 'run') {
+  cy.intercept('GET', `/api/v1/collectivex/runs/${body.run.run_id}*`, { body }).as(alias);
 }
 
 function openCollectiveX() {
   cy.visit('/collectivex');
-  cy.wait('@latest');
+  cy.wait('@runs');
+  cy.wait('@run');
   cy.get('[data-testid="collectivex-display"]').should('be.visible');
 }
 
 describe('CollectiveX neutral run view', () => {
   beforeEach(() => {
-    installLatest();
+    installRuns();
+    installRun();
     openCollectiveX();
   });
 
@@ -94,9 +108,11 @@ describe('CollectiveX neutral run view', () => {
     const ncclEp = buildDataset({
       shards: [makeRawShard({ backend: 'nccl-ep', implName: 'nccl-ep' })],
     });
-    installLatest(ncclEp);
+    installRuns([ncclEp]);
+    installRun(ncclEp);
     cy.reload();
-    cy.wait('@latest');
+    cy.wait('@runs');
+    cy.wait('@run');
     cy.get('[data-testid="collectivex-main-chart"]').should('contain.text', 'nccl-ep');
     cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
   });
@@ -112,9 +128,11 @@ describe('CollectiveX neutral run view', () => {
     const withLowLatency = buildDataset({
       shards: [makeRawShard(), makeRawShard({ mode: 'low-latency' })],
     });
-    installLatest(withLowLatency);
+    installRuns([withLowLatency]);
+    installRun(withLowLatency);
     cy.reload();
-    cy.wait('@latest');
+    cy.wait('@runs');
+    cy.wait('@run');
 
     cy.get('[data-testid="collectivex-mode-toggle"]').should('be.visible');
     cy.get('[data-testid="collectivex-main-chart"]').should('contain.text', 'deepep-v2');
@@ -127,9 +145,11 @@ describe('CollectiveX neutral run view', () => {
 
   it('selects the available phase when a partial run only measured prefill', () => {
     const prefill = buildDataset({ shards: [makeRawShard({ phase: 'prefill' })] });
-    installLatest(prefill);
+    installRuns([prefill]);
+    installRun(prefill);
     cy.reload();
-    cy.wait('@latest');
+    cy.wait('@runs');
+    cy.wait('@run');
     cy.get('[data-testid="collectivex-phase-toggle"]').should('contain.text', 'Prefill');
     cy.get('[data-testid="collectivex-main-chart"]').should('contain.text', 'prefill');
     cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
@@ -153,15 +173,52 @@ describe('CollectiveX neutral run view', () => {
       .and('not.contain.text', 'evidence=');
   });
 
-  it('lists runs on demand and pins a specific run by id', () => {
-    installRuns();
+  it('lists every version-matching run and overlays checked runs', () => {
+    installRuns([dataset, comparisonDataset]);
     installRun();
-    cy.get('[data-testid="collectivex-load-runs"]').click();
+    installRun(comparisonDataset, 'comparisonRun');
+    cy.reload();
     cy.wait('@runs');
-    cy.get('[data-testid="collectivex-run-select"]').click();
-    cy.contains('[role="option"]', `#${runId}`).click();
     cy.wait('@run');
+
+    cy.get(`[data-testid="collectivex-run-row-${runId}"]`).should('be.visible');
+    cy.get(`[data-testid="collectivex-run-row-${comparisonDataset.run.run_id}"]`).should(
+      'be.visible',
+    );
+    cy.get(`[data-testid="collectivex-run-visible-${runId}"]`).should('be.checked');
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
+
+    cy.get(`[data-testid="collectivex-run-visible-${comparisonDataset.run.run_id}"]`).check();
+    cy.wait('@comparisonRun');
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 2);
+    cy.get('[data-testid="chart-legend"]')
+      .should('contain.text', `#${runId}`)
+      .and('contain.text', `#${comparisonDataset.run.run_id}`);
+
+    cy.get(`[data-testid="collectivex-run-visible-${runId}"]`).uncheck();
+    cy.get('[data-testid="collectivex-run-conclusion"]').should(
+      'contain.text',
+      `#${comparisonDataset.run.run_id}`,
+    );
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
+  });
+
+  it('defaults to the newest measured run when a newer incomplete run has no series', () => {
+    installRuns([incompleteDataset, dataset]);
+    installRun();
+    cy.reload();
+    cy.wait('@runs');
+    cy.wait('@run');
+
+    cy.get(`[data-testid="collectivex-run-row-${incompleteDataset.run.run_id}"]`).should(
+      'be.visible',
+    );
+    cy.get(`[data-testid="collectivex-run-visible-${incompleteDataset.run.run_id}"]`).should(
+      'not.be.checked',
+    );
+    cy.get(`[data-testid="collectivex-run-visible-${runId}"]`).should('be.checked');
     cy.get('[data-testid="collectivex-run-conclusion"]').should('contain.text', `#${runId}`);
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
   });
 
   it('keeps the chart on top and presents the matrix inventory', () => {
@@ -177,13 +234,24 @@ describe('CollectiveX neutral run view', () => {
 
 describe('CollectiveX run deletion', () => {
   beforeEach(() => {
-    installLatest();
+    installRuns();
+    installRun();
     openCollectiveX();
   });
 
-  it('deletes the shown run after confirm + token prompt and remembers the token', () => {
+  it('deletes a table row after confirm + token prompt and remembers the token', () => {
+    let deleted = false;
+    cy.intercept('GET', '/api/v1/collectivex/runs?*', (request) => {
+      request.reply({
+        body: {
+          version: 1,
+          runs: deleted ? [] : [buildRunSummary(dataset)],
+        },
+      });
+    }).as('runsAfterDelete');
     cy.intercept('DELETE', `/api/v1/collectivex/runs/${runId}`, (request) => {
       expect(request.headers.authorization).to.eq('Bearer test-token');
+      deleted = true;
       request.reply({ deleted: true, runId });
     }).as('deleteRun');
     cy.window().then((win) => {
@@ -192,10 +260,10 @@ describe('CollectiveX run deletion', () => {
       cy.stub(win, 'prompt').returns('test-token');
     });
 
-    cy.get('[data-testid="collectivex-delete-run"]').click();
+    cy.get(`[data-testid="collectivex-delete-run-${runId}"]`).click();
     cy.wait('@deleteRun');
-    // Successful deletion invalidates the dataset queries → latest refetches.
-    cy.wait('@latest');
+    cy.wait('@runsAfterDelete');
+    cy.get(`[data-testid="collectivex-run-row-${runId}"]`).should('not.exist');
     cy.window().then((win) => {
       expect(win.localStorage.getItem(ADMIN_TOKEN_KEY)).to.eq('test-token');
     });
@@ -211,7 +279,7 @@ describe('CollectiveX run deletion', () => {
       cy.stub(win, 'alert').as('unauthorizedAlert');
     });
 
-    cy.get('[data-testid="collectivex-delete-run"]').click();
+    cy.get(`[data-testid="collectivex-delete-run-${runId}"]`).click();
     cy.wait('@delete401');
     cy.get('@unauthorizedAlert').should('have.been.calledWith', 'Invalid admin token.');
     cy.window().then((win) => {
@@ -228,15 +296,15 @@ describe('CollectiveX run deletion', () => {
       cy.stub(win, 'confirm').returns(false);
     });
 
-    cy.get('[data-testid="collectivex-delete-run"]').click();
+    cy.get(`[data-testid="collectivex-delete-run-${runId}"]`).click();
     cy.get('[data-testid="collectivex-display"]').should('be.visible');
     cy.then(() => expect(deleteRequests).to.eq(0));
   });
 });
 
 describe('CollectiveX availability states', () => {
-  it('reports a missing run', () => {
-    cy.intercept('GET', '/api/v1/collectivex/latest*', {
+  it('reports a missing run list', () => {
+    cy.intercept('GET', '/api/v1/collectivex/runs?*', {
       statusCode: 404,
       body: { error: 'Not found' },
     }).as('missing');
@@ -249,7 +317,7 @@ describe('CollectiveX availability states', () => {
   });
 
   it('reports an unavailable backend', () => {
-    cy.intercept('GET', '/api/v1/collectivex/latest*', {
+    cy.intercept('GET', '/api/v1/collectivex/runs?*', {
       statusCode: 503,
       body: { error: 'unavailable' },
     }).as('down');
@@ -261,13 +329,15 @@ describe('CollectiveX availability states', () => {
   });
 
   it('renders the loading state while the run resolves', () => {
-    // "slow" is a reserved alias word in Cypress 15.
-    cy.intercept('GET', '/api/v1/collectivex/latest*', { body: dataset, delay: 500 }).as(
-      'slowLatest',
-    );
+    installRuns();
+    cy.intercept('GET', `/api/v1/collectivex/runs/${runId}*`, {
+      body: dataset,
+      delay: 500,
+    }).as('slowRun');
     cy.visit('/collectivex');
-    cy.get('[data-testid="collectivex-loading"]').should('be.visible');
-    cy.wait('@slowLatest');
+    cy.wait('@runs');
+    cy.get('[data-testid="collectivex-selected-runs-loading"]').should('be.visible');
+    cy.wait('@slowRun');
     cy.get('[data-testid="collectivex-display"]').should('be.visible');
   });
 
@@ -277,9 +347,11 @@ describe('CollectiveX availability states', () => {
       availabilityRequests += 1;
       request.reply([]);
     });
-    installLatest();
+    installRuns();
+    installRun();
     cy.visit('/collectivex');
-    cy.wait('@latest');
+    cy.wait('@runs');
+    cy.wait('@run');
     cy.get('[data-testid="collectivex-display"]').should('be.visible');
     cy.then(() => expect(availabilityRequests).to.eq(0));
   });
diff --git a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
index 92dc606a3..b99cdfe68 100644
--- a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
+++ b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
@@ -72,7 +72,7 @@ function bearerMatches(header: string, secret: string): boolean {
  * secret — the token is remembered in browser localStorage, so it must not
  * be the CI-held INVALIDATE_SECRET (scoped blast radius, independently
  * rotatable). Deletion tombstones the run (lazy discovery must never
- * re-ingest it) and purges the CollectiveX cache scope so the picker and
+ * re-ingest it) and purges the CollectiveX cache scope so the run table and
  * latest views drop it immediately.
  */
 export async function DELETE(
diff --git a/packages/app/src/app/api/v1/collectivex/runs/route.ts b/packages/app/src/app/api/v1/collectivex/runs/route.ts
index daeab5c07..ea3e9edd3 100644
--- a/packages/app/src/app/api/v1/collectivex/runs/route.ts
+++ b/packages/app/src/app/api/v1/collectivex/runs/route.ts
@@ -21,7 +21,7 @@ export async function GET(request: NextRequest) {
   }
   if (FIXTURES_MODE) return cachedJson(loadFixture('collectivex-runs'));
 
-  // Backfill failures must not take the picker down — serve the stored list
+  // Backfill failures must not take the run table down — serve the stored list
   // and only surface the error when there is nothing at all to show.
   let ensureError: unknown = null;
   try {
diff --git a/packages/app/src/components/collectivex/CollectiveXChart.tsx b/packages/app/src/components/collectivex/CollectiveXChart.tsx
index d46f1e015..462b6e29b 100644
--- a/packages/app/src/components/collectivex/CollectiveXChart.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXChart.tsx
@@ -10,13 +10,13 @@ import type {
   CollectiveXChartPoint,
   CollectiveXOperation,
   CollectiveXPercentile,
-  CollectiveXSeries,
+  CollectiveXRunSeries,
   CollectiveXYAxis,
 } from './types';
 
 interface CollectiveXChartProps {
   chartId: string;
-  series: CollectiveXSeries[];
+  series: CollectiveXRunSeries[];
   colors: Record<string, string>;
   operation: CollectiveXOperation;
   percentile: CollectiveXPercentile;
@@ -67,7 +67,7 @@ function formatMetric(value: number, yAxis: CollectiveXYAxis): string {
 }
 
 function formatPercentiles(
-  value: CollectiveXSeries['points'][number]['components']['dispatch'],
+  value: CollectiveXRunSeries['points'][number]['components']['dispatch'],
 ): string {
   if (value === null) return 'unavailable';
   return `${value.latency_us.p50.toFixed(1)} / ${value.latency_us.p90.toFixed(1)} / ${value.latency_us.p95.toFixed(1)} / ${value.latency_us.p99.toFixed(1)} µs`;
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index 1d1f15767..ef01db512 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -1,7 +1,7 @@
 'use client';
 
-import { BookOpen, ExternalLink, Loader2, RefreshCw, Trash2 } from 'lucide-react';
-import { useCallback, useEffect, useMemo, useState } from 'react';
+import { BookOpen, ExternalLink, Loader2, RefreshCw } from 'lucide-react';
+import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
 
 import { Button } from '@/components/ui/button';
 import { Card } from '@/components/ui/card';
@@ -16,8 +16,7 @@ import {
   SelectValue,
 } from '@/components/ui/select';
 import {
-  useCollectiveX,
-  useCollectiveXRun,
+  useCollectiveXRunDatasets,
   useCollectiveXRuns,
   useDeleteCollectiveXRun,
 } from '@/hooks/api/use-collectivex';
@@ -27,8 +26,10 @@ import { useLocale } from '@/lib/use-locale';
 
 import { CollectiveXChart } from './CollectiveXChart';
 import { CollectiveXInventory } from './CollectiveXInventory';
+import { CollectiveXRunsTable } from './CollectiveXRunsTable';
 import {
   collectiveXColorKey,
+  collectiveXSeriesForRun,
   collectiveXSeriesLabel,
   collectiveXTopologyLabel,
   seriesMatchesSelection,
@@ -43,6 +44,7 @@ import {
   type CollectiveXPercentile,
   type CollectiveXPhase,
   type CollectiveXPrecision,
+  type CollectiveXRunSeries,
   type CollectiveXVersion,
   type CollectiveXYAxis,
 } from './types';
@@ -94,6 +96,12 @@ const STRINGS = {
     terminalCases: 'Terminal cases',
     publishedUtc: 'Published (UTC)',
     version: 'Benchmark version',
+    runsHeading: 'Runs',
+    runsDescription:
+      'Every stored run for the selected benchmark version. Check one or more runs to compare them in the explorer.',
+    runsShown: 'Runs shown',
+    selectRuns: 'Select one or more runs from the table to show their data.',
+    selectedRunsFailed: 'One or more selected runs failed to load.',
     runControl: 'Run',
     loadRuns: 'Load runs',
     loadingRuns: 'Loading runs…',
@@ -184,6 +192,14 @@ const STRINGS = {
     allocations: '独立分配',
     publishedUtc: '发布时间（UTC）',
     version: '基准版本',
+    // English placeholders per the repository's temporary language override
+    // (no new Chinese translations); localize when the override lifts.
+    runsHeading: 'Runs',
+    runsDescription:
+      'Every stored run for the selected benchmark version. Check one or more runs to compare them in the explorer.',
+    runsShown: 'Runs shown',
+    selectRuns: 'Select one or more runs from the table to show their data.',
+    selectedRunsFailed: 'One or more selected runs failed to load.',
     runControl: 'Run',
     loadRuns: 'Load runs',
     loadingRuns: 'Loading runs…',
@@ -252,8 +268,6 @@ const STRINGS = {
     attemptLabel: 'Attempt',
     matrixLabel: 'Matrix',
     sourceBundles: '源产物包',
-    // English placeholders per the repository's temporary language override
-    // (no new Chinese translations); localize when the override lifts.
     deleteRun: 'Delete run',
     deleteConfirm: (id: string) =>
       `Delete run #${id} from the dashboard database? This cannot be undone.`,
@@ -272,14 +286,6 @@ const CONCLUSION_FALLBACK_CLASS =
 // rotated secret re-prompts instead of failing silently forever.
 const ADMIN_TOKEN_STORAGE_KEY = 'collectivex-admin-token';
 
-function formatDate(value: string, locale: 'en' | 'zh'): string {
-  return new Intl.DateTimeFormat(locale === 'zh' ? 'zh-CN' : 'en', {
-    dateStyle: 'medium',
-    timeStyle: 'short',
-    timeZone: 'UTC',
-  }).format(new Date(value));
-}
-
 function ControlGroup({ label, children }: { label: string; children: React.ReactNode }) {
   return (
     <div className="min-w-0 space-y-1.5">
@@ -304,17 +310,35 @@ export default function CollectiveXDisplay() {
   const locale = useLocale();
   const t = STRINGS[locale];
   const [version, setVersion] = useState<CollectiveXVersion>(COLLECTIVEX_DEFAULT_VERSION);
-  // JIT run picker: `runsRequested` gates the run listing behind the "Load runs"
-  // button; `selectedRunId` (null = the latest published run) pins the view to one
-  // specific run's dataset. Runs are keyed by their GitHub Actions run id.
-  const [runsRequested, setRunsRequested] = useState(false);
-  const [selectedRunId, setSelectedRunId] = useState<string | null>(null);
-  const latestQuery = useCollectiveX(version);
-  const runsQuery = useCollectiveXRuns(version, runsRequested);
-  const runQuery = useCollectiveXRun(version, selectedRunId);
-  // A pinned run overrides the latest run.
-  const activeQuery = selectedRunId === null ? latestQuery : runQuery;
-  const { data, error, isLoading, isFetching } = activeQuery;
+  const [visibleRunIds, setVisibleRunIds] = useState<Set<string>>(new Set());
+  const initializedVersionRef = useRef<CollectiveXVersion | null>(null);
+  const runsQuery = useCollectiveXRuns(version);
+  const runList = runsQuery.data ?? [];
+  const orderedVisibleRunIds = useMemo(
+    () => runList.filter((run) => visibleRunIds.has(run.run_id)).map((run) => run.run_id),
+    [runList, visibleRunIds],
+  );
+  const runQueries = useCollectiveXRunDatasets(version, orderedVisibleRunIds);
+  const datasets = useMemo(
+    () => runQueries.flatMap((query) => (query.data ? [query.data] : [])),
+    [runQueries],
+  );
+  const combinedSeries = useMemo<CollectiveXRunSeries[]>(
+    () =>
+      datasets.flatMap((dataset) => collectiveXSeriesForRun(dataset.series, dataset.run.run_id)),
+    [datasets],
+  );
+  const loadingRunIds = useMemo(
+    () =>
+      new Set(
+        orderedVisibleRunIds.filter(
+          (_runId, index) => runQueries[index]?.isLoading || runQueries[index]?.isFetching,
+        ),
+      ),
+    [orderedVisibleRunIds, runQueries],
+  );
+  const selectedRunErrors = runQueries.filter((query) => query.error).length;
+  const isFetching = runsQuery.isFetching || runQueries.some((query) => query.isFetching);
   const [epSize, setEpSize] = useState(8);
   const [operation, setOperation] = useState<CollectiveXOperation>('roundtrip');
   const [phase, setPhase] = useState<CollectiveXPhase>('decode');
@@ -340,52 +364,46 @@ export default function CollectiveXDisplay() {
     value,
     label: collectiveXVersionLabel(value),
   }));
-  const runList = runsQuery.data ?? [];
-  const runOptions: SelectOption<string>[] = useMemo(
-    () => [
-      { value: 'latest', label: t.latestPublished },
-      ...runList.map((run) => ({
-        value: run.run_id,
-        label: `#${run.run_id} · ${run.conclusion ?? 'pending'} · ${run.measured_cases}/${run.requested_cases} cases · ${run.terminal_points}/${run.requested_points} points · ${run.covered_skus.length} SKU · ${formatDate(run.generated_at, locale)}`,
-      })),
-    ],
-    [locale, runList, t.latestPublished],
-  );
-  // Runs are per-version; changing the version drops any pinned run and folds
-  // the picker back to its JIT button.
+
+  // Runs are per-version. Start each version on its newest run with measured
+  // data so an incomplete newest sweep cannot blank the explorer.
   useEffect(() => {
-    setSelectedRunId(null);
-    setRunsRequested(false);
+    initializedVersionRef.current = null;
+    setVisibleRunIds(new Set());
   }, [version]);
-  // If a refreshed listing no longer carries the pinned run, fall back to the
-  // latest run rather than a dangling id.
+
   useEffect(() => {
-    if (
-      selectedRunId !== null &&
-      runsQuery.data &&
-      !runsQuery.data.some((run) => run.run_id === selectedRunId)
-    ) {
-      setSelectedRunId(null);
-    }
-  }, [runsQuery.data, selectedRunId]);
-  const dataset = data;
+    if (!runsQuery.data || initializedVersionRef.current === version) return;
+    const initial = runsQuery.data.find((run) => run.measured_cases > 0) ?? runsQuery.data[0];
+    setVisibleRunIds(initial ? new Set([initial.run_id]) : new Set());
+    initializedVersionRef.current = version;
+  }, [runsQuery.data, version]);
+
+  // A deleted run disappears from both the table and the checked set after the
+  // list refetch. Preserve deliberate "none checked" state.
+  useEffect(() => {
+    if (!runsQuery.data || initializedVersionRef.current !== version) return;
+    const liveIds = new Set(runsQuery.data.map((run) => run.run_id));
+    setVisibleRunIds((previous) => {
+      const next = new Set([...previous].filter((runId) => liveIds.has(runId)));
+      return next.size === previous.size ? previous : next;
+    });
+  }, [runsQuery.data, version]);
+
   const availableEpSizes = useMemo(
-    () =>
-      [...new Set(dataset?.series.map((item) => item.system.ep_size))].toSorted((a, b) => a - b),
-    [dataset?.series],
+    () => [...new Set(combinedSeries.map((item) => item.system.ep_size))].toSorted((a, b) => a - b),
+    [combinedSeries],
   );
   const availablePhases = useMemo(
     () =>
       [
         ...new Set(
-          dataset?.series
-            .filter((item) => item.system.ep_size === epSize)
-            .map((item) => item.phase),
+          combinedSeries.filter((item) => item.system.ep_size === epSize).map((item) => item.phase),
         ),
       ].toSorted((left, right) =>
         left === right ? 0 : left === 'decode' ? -1 : right === 'decode' ? 1 : 0,
       ),
-    [dataset?.series, epSize],
+    [combinedSeries, epSize],
   );
   const phaseOptions: SegmentedToggleOption<CollectiveXPhase>[] = availablePhases.map((value) => ({
     value,
@@ -395,14 +413,14 @@ export default function CollectiveXDisplay() {
     () =>
       [
         ...new Set(
-          dataset?.series
+          combinedSeries
             .filter((item) => item.system.ep_size === epSize && item.phase === phase)
             .map((item) => item.mode),
         ),
       ].toSorted((left, right) =>
         left === right ? 0 : left === 'normal' ? -1 : right === 'normal' ? 1 : 0,
       ),
-    [dataset?.series, epSize, phase],
+    [combinedSeries, epSize, phase],
   );
   const modeOptions: SegmentedToggleOption<CollectiveXMode>[] = availableModes.map((value) => ({
     value,
@@ -412,7 +430,7 @@ export default function CollectiveXDisplay() {
     () =>
       [
         ...new Set(
-          dataset?.series
+          combinedSeries
             .filter(
               (item) =>
                 item.system.ep_size === epSize && item.phase === phase && item.mode === mode,
@@ -420,7 +438,7 @@ export default function CollectiveXDisplay() {
             .map((item) => item.precision),
         ),
       ].toSorted(),
-    [dataset?.series, epSize, mode, phase],
+    [combinedSeries, epSize, mode, phase],
   );
   const precisionOptions: SegmentedToggleOption<CollectiveXPrecision>[] = availablePrecisions.map(
     (value) => ({ value, label: t.precision[value] }),
@@ -455,8 +473,8 @@ export default function CollectiveXDisplay() {
   // SKU and EP determine topology; V1 fixes routing. EP, phase, kernel mode,
   // and precision are needed before the library/SKU comparison filters.
   const matchedSeries = useMemo(
-    () => (dataset?.series ?? []).filter((item) => seriesMatchesSelection(item, seriesSelection)),
-    [dataset?.series, seriesSelection],
+    () => combinedSeries.filter((item) => seriesMatchesSelection(item, seriesSelection)),
+    [combinedSeries, seriesSelection],
   );
   const skuOptions = useMemo(
     () => ['all', ...new Set(matchedSeries.map((item) => item.system.sku))],
@@ -486,10 +504,11 @@ export default function CollectiveXDisplay() {
       ),
     [backend, matchedSeries, sku],
   );
+  const phaseSeriesKey = phaseSeries.map((item) => item.series_id).join('\u0000');
 
   useEffect(() => {
-    setActiveSeriesIds(new Set(phaseSeries.map((item) => item.series_id)));
-  }, [phaseSeries]);
+    setActiveSeriesIds(new Set(phaseSeriesKey ? phaseSeriesKey.split('\u0000') : []));
+  }, [phaseSeriesKey]);
 
   const activeSeries = useMemo(
     () => phaseSeries.filter((item) => activeSeriesIds.has(item.series_id)),
@@ -531,45 +550,58 @@ export default function CollectiveXDisplay() {
   );
   const handleRefresh = useCallback(() => {
     track('collectivex_data_refreshed');
-    void activeQuery.refetch();
-    if (runsRequested) void runsQuery.refetch();
-  }, [activeQuery, runsQuery, runsRequested]);
+    void runsQuery.refetch();
+    for (const query of runQueries) void query.refetch();
+  }, [runQueries, runsQuery]);
   const deleteRun = useDeleteCollectiveXRun();
-  const shownRunId = dataset?.run.run_id;
-  const handleDeleteRun = useCallback(async () => {
-    if (!shownRunId) return;
-    track('collectivex_run_delete_prompted', { run: shownRunId });
-    if (!window.confirm(t.deleteConfirm(shownRunId))) return;
-    const stored = localStorage.getItem(ADMIN_TOKEN_STORAGE_KEY) ?? '';
-    const token = stored || (window.prompt(t.deleteTokenPrompt)?.trim() ?? '');
-    if (!token) return;
-    try {
-      const deleted = await deleteRun.mutateAsync({ runId: shownRunId, token });
-      if (!deleted) {
-        localStorage.removeItem(ADMIN_TOKEN_STORAGE_KEY);
-        track('collectivex_run_delete_failed', { run: shownRunId, reason: 'unauthorized' });
-        window.alert(t.deleteUnauthorized);
-        return;
+  const handleVisibleRunChange = useCallback((runId: string, visible: boolean) => {
+    setVisibleRunIds((previous) => {
+      const next = new Set(previous);
+      if (visible) next.add(runId);
+      else next.delete(runId);
+      return next;
+    });
+  }, []);
+  const handleDeleteRun = useCallback(
+    async (runId: string) => {
+      track('collectivex_run_delete_prompted', { run: runId });
+      if (!window.confirm(t.deleteConfirm(runId))) return;
+      const stored = localStorage.getItem(ADMIN_TOKEN_STORAGE_KEY) ?? '';
+      const token = stored || (window.prompt(t.deleteTokenPrompt)?.trim() ?? '');
+      if (!token) return;
+      try {
+        const deleted = await deleteRun.mutateAsync({ runId, token });
+        if (!deleted) {
+          localStorage.removeItem(ADMIN_TOKEN_STORAGE_KEY);
+          track('collectivex_run_delete_failed', { run: runId, reason: 'unauthorized' });
+          window.alert(t.deleteUnauthorized);
+          return;
+        }
+        localStorage.setItem(ADMIN_TOKEN_STORAGE_KEY, token);
+        setVisibleRunIds((previous) => {
+          const next = new Set(previous);
+          next.delete(runId);
+          return next;
+        });
+        track('collectivex_run_delete_confirmed', { run: runId });
+      } catch {
+        track('collectivex_run_delete_failed', { run: runId, reason: 'error' });
+        window.alert(t.deleteFailed);
       }
-      localStorage.setItem(ADMIN_TOKEN_STORAGE_KEY, token);
-      track('collectivex_run_delete_confirmed', { run: shownRunId });
-      // The deleted run can no longer be pinned; fall back to the new latest.
-      setSelectedRunId(null);
-    } catch {
-      track('collectivex_run_delete_failed', { run: shownRunId, reason: 'error' });
-      window.alert(t.deleteFailed);
-    }
-  }, [deleteRun, shownRunId, t]);
-  if (isLoading) {
+    },
+    [deleteRun, t],
+  );
+
+  if (runsQuery.isLoading) {
     return (
       <Card data-testid="collectivex-loading" className="min-h-80 items-center justify-center">
         <Loader2 className="size-6 animate-spin text-muted-foreground" />
-        <p className="mt-3 text-sm text-muted-foreground">{t.loading}</p>
+        <p className="mt-3 text-sm text-muted-foreground">{t.loadingRuns}</p>
       </Card>
     );
   }
-  if (error || !data || !dataset) {
-    const message = error instanceof Error ? error.message : t.loadError;
+  if (runsQuery.error || !runsQuery.data) {
+    const message = runsQuery.error instanceof Error ? runsQuery.error.message : t.loadError;
     return (
       <Card data-testid="collectivex-error" className="border-destructive">
         <h1 className="text-lg font-semibold">{t.unavailable}</h1>
@@ -584,15 +616,6 @@ export default function CollectiveXDisplay() {
               onChange={setVersion}
             />
           </div>
-          {selectedRunId !== null && (
-            <Button
-              variant="outline"
-              data-testid="collectivex-error-latest"
-              onClick={() => setSelectedRunId(null)}
-            >
-              {t.latestPublished}
-            </Button>
-          )}
           <Button variant="outline" onClick={handleRefresh}>
             <RefreshCw className="size-4" />
             {t.retry}
@@ -601,10 +624,14 @@ export default function CollectiveXDisplay() {
       </Card>
     );
   }
-
-  const run = dataset.run;
-  const conclusionClass =
-    (run.conclusion && CONCLUSION_CLASSES[run.conclusion]) ?? CONCLUSION_FALLBACK_CLASS;
+  const singleDataset = datasets.length === 1 ? datasets[0] : null;
+  const measuredCases = datasets.reduce((sum, dataset) => sum + dataset.run.measured_cases, 0);
+  const requestedCases = datasets.reduce((sum, dataset) => sum + dataset.run.requested_cases, 0);
+  const terminalCases = datasets.reduce((sum, dataset) => sum + dataset.run.terminal_cases, 0);
+  const seriesCount = datasets.reduce((sum, dataset) => sum + dataset.series.length, 0);
+  const singleConclusionClass =
+    (singleDataset?.run.conclusion && CONCLUSION_CLASSES[singleDataset.run.conclusion]) ??
+    CONCLUSION_FALLBACK_CLASS;
 
   return (
     <section data-testid="collectivex-display" className="flex flex-col gap-4">
@@ -615,36 +642,50 @@ export default function CollectiveXDisplay() {
               <h1 className="text-xl font-semibold">CollectiveX</h1>
               <span
                 data-testid="collectivex-run-conclusion"
-                className={`rounded-md border px-2 py-0.5 text-[11px] font-medium ${conclusionClass}`}
+                className={`rounded-md border px-2 py-0.5 text-[11px] font-medium ${
+                  singleDataset ? singleConclusionClass : CONCLUSION_FALLBACK_CLASS
+                }`}
               >
-                #{run.run_id} · {run.conclusion ?? 'pending'}
+                {singleDataset
+                  ? `#${singleDataset.run.run_id} · ${singleDataset.run.conclusion ?? 'pending'}`
+                  : `${datasets.length} ${t.runsShown.toLowerCase()}`}
               </span>
             </div>
             <p className="mt-2 text-sm text-muted-foreground">{t.description}</p>
           </div>
           <div className="flex shrink-0 flex-wrap items-center gap-2">
-            <a
-              data-testid="collectivex-source-link"
-              href={`https://github.com/SemiAnalysisAI/InferenceX/tree/${run.source_sha}/experimental/CollectiveX`}
-              target="_blank"
-              rel="noopener noreferrer"
-              onClick={() => track('collectivex_source_opened', { source_sha: run.source_sha })}
-              className="inline-flex h-9 items-center gap-1.5 rounded-md border px-3 text-sm font-medium text-muted-foreground transition-colors hover:bg-muted hover:text-foreground"
-            >
-              {t.source} <ExternalLink className="size-3.5" />
-            </a>
-            <a
-              data-testid="collectivex-methodology-link"
-              href={`https://github.com/SemiAnalysisAI/InferenceX/blob/${run.source_sha}/experimental/CollectiveX/docs/methodology.md`}
-              target="_blank"
-              rel="noopener noreferrer"
-              onClick={() =>
-                track('collectivex_methodology_opened', { source_sha: run.source_sha })
-              }
-              className="inline-flex h-9 items-center gap-1.5 rounded-md border px-3 text-sm font-medium text-muted-foreground transition-colors hover:bg-muted hover:text-foreground"
-            >
-              <BookOpen className="size-3.5" /> {t.methodology}
-            </a>
+            {singleDataset && (
+              <>
+                <a
+                  data-testid="collectivex-source-link"
+                  href={`https://github.com/SemiAnalysisAI/InferenceX/tree/${singleDataset.run.source_sha}/experimental/CollectiveX`}
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  onClick={() =>
+                    track('collectivex_source_opened', {
+                      source_sha: singleDataset.run.source_sha,
+                    })
+                  }
+                  className="inline-flex h-9 items-center gap-1.5 rounded-md border px-3 text-sm font-medium text-muted-foreground transition-colors hover:bg-muted hover:text-foreground"
+                >
+                  {t.source} <ExternalLink className="size-3.5" />
+                </a>
+                <a
+                  data-testid="collectivex-methodology-link"
+                  href={`https://github.com/SemiAnalysisAI/InferenceX/blob/${singleDataset.run.source_sha}/experimental/CollectiveX/docs/methodology.md`}
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  onClick={() =>
+                    track('collectivex_methodology_opened', {
+                      source_sha: singleDataset.run.source_sha,
+                    })
+                  }
+                  className="inline-flex h-9 items-center gap-1.5 rounded-md border px-3 text-sm font-medium text-muted-foreground transition-colors hover:bg-muted hover:text-foreground"
+                >
+                  <BookOpen className="size-3.5" /> {t.methodology}
+                </a>
+              </>
+            )}
             <Button variant="outline" size="sm" onClick={handleRefresh} disabled={isFetching}>
               {isFetching ? (
                 <Loader2 className="size-4 animate-spin" />
@@ -653,277 +694,253 @@ export default function CollectiveXDisplay() {
               )}
               {t.refresh}
             </Button>
-            <Button
-              variant="outline"
-              size="sm"
-              data-testid="collectivex-delete-run"
-              className="text-destructive hover:bg-destructive/10 hover:text-destructive"
-              onClick={() => void handleDeleteRun()}
-              disabled={deleteRun.isPending}
-            >
-              {deleteRun.isPending ? (
-                <Loader2 className="size-4 animate-spin" />
-              ) : (
-                <Trash2 className="size-4" />
-              )}
-              {t.deleteRun}
-            </Button>
           </div>
         </div>
-        <div className="mt-5 grid grid-cols-2 gap-3 sm:grid-cols-4">
-          <Stat value={dataset.series.length} label={t.seriesCount} />
-          <Stat value={`${run.measured_cases}/${run.requested_cases}`} label={t.measuredCases} />
-          <Stat value={`${run.terminal_cases}/${run.requested_cases}`} label={t.terminalCases} />
-          <Stat value={formatDate(run.generated_at, locale)} label={t.publishedUtc} compact />
+        {datasets.length > 0 && (
+          <div className="mt-5 grid grid-cols-2 gap-3 sm:grid-cols-4">
+            <Stat value={seriesCount} label={t.seriesCount} />
+            <Stat value={`${measuredCases}/${requestedCases}`} label={t.measuredCases} />
+            <Stat value={`${terminalCases}/${requestedCases}`} label={t.terminalCases} />
+            <Stat value={datasets.length} label={t.runsShown} />
+          </div>
+        )}
+      </Card>
+
+      <Card data-testid="collectivex-runs">
+        <div className="flex flex-col gap-4 md:flex-row md:items-end md:justify-between">
+          <div>
+            <h2 className="text-lg font-semibold">{t.runsHeading}</h2>
+            <p className="mt-1 text-sm text-muted-foreground">{t.runsDescription}</p>
+          </div>
+          <div className="w-full md:w-44">
+            <SelectControl
+              label={t.version}
+              testId="collectivex-version-select"
+              value={version}
+              options={versionOptions}
+              onChange={(value) => {
+                setVersion(value);
+                track('collectivex_version_changed', { version: value });
+              }}
+            />
+          </div>
         </div>
+        <CollectiveXRunsTable
+          runs={runList}
+          visibleRunIds={visibleRunIds}
+          loadingRunIds={loadingRunIds}
+          deletingRunId={deleteRun.isPending ? (deleteRun.variables?.runId ?? null) : null}
+          onVisibleChange={handleVisibleRunChange}
+          onDelete={(runId) => void handleDeleteRun(runId)}
+        />
       </Card>
 
-      {phaseSeries.length === 0 && (
-        <Card data-testid="collectivex-empty-state" className="py-4">
-          <p className="text-sm text-muted-foreground">{t.noSeries}</p>
+      {visibleRunIds.size === 0 && (
+        <Card data-testid="collectivex-no-runs-selected" className="py-6 text-center">
+          <p className="text-sm text-muted-foreground">{t.selectRuns}</p>
+        </Card>
+      )}
+      {visibleRunIds.size > 0 && datasets.length === 0 && loadingRunIds.size > 0 && (
+        <Card
+          data-testid="collectivex-selected-runs-loading"
+          className="min-h-40 items-center justify-center"
+        >
+          <Loader2 className="size-6 animate-spin text-muted-foreground" />
+          <p className="mt-3 text-sm text-muted-foreground">{t.loading}</p>
         </Card>
       )}
-      <Card data-testid="collectivex-main-chart" className="relative">
-        <CollectiveXChart
-          chartId="collectivex-explorer"
-          testId="collectivex-explorer-chart"
-          series={activeSeries}
-          colors={colors}
-          operation={operation}
-          percentile={percentile}
-          yAxis={yAxis}
-          caption={
-            <>
-              <h2 className="text-lg font-semibold">
-                {operation === 'stage' ? 'Stage' : t.operationHeading[operation]} ·{' '}
-                {t.phaseValue[phase]} ·{' '}
-                {yAxis === 'latency'
-                  ? percentile
-                  : locale === 'zh'
-                    ? `${percentile} 延迟分位点`
-                    : `at ${percentile} latency`}
-              </h2>
-              <p className="text-sm text-muted-foreground">
-                {yAxis === 'activation-rate'
-                  ? 'Activation-data rate at selected latency percentile'
-                  : t.yAxis[yAxis]}
-              </p>
-            </>
-          }
-          legendElement={
-            <ChartLegend
-              variant="sidebar"
-              legendItems={legendItems}
-              disableActiveSort
-              onItemRemove={(id) =>
-                setActiveSeriesIds(
-                  (previous) => new Set([...previous].filter((item) => item !== id)),
-                )
+      {selectedRunErrors > 0 && (
+        <Card data-testid="collectivex-selected-runs-error" className="border-destructive py-4">
+          <p className="text-sm text-destructive">{t.selectedRunsFailed}</p>
+        </Card>
+      )}
+
+      {datasets.length > 0 && (
+        <>
+          {phaseSeries.length === 0 && (
+            <Card data-testid="collectivex-empty-state" className="py-4">
+              <p className="text-sm text-muted-foreground">{t.noSeries}</p>
+            </Card>
+          )}
+          <Card data-testid="collectivex-main-chart" className="relative">
+            <CollectiveXChart
+              chartId="collectivex-explorer"
+              testId="collectivex-explorer-chart"
+              series={activeSeries}
+              colors={colors}
+              operation={operation}
+              percentile={percentile}
+              yAxis={yAxis}
+              caption={
+                <>
+                  <h2 className="text-lg font-semibold">
+                    {operation === 'stage' ? 'Stage' : t.operationHeading[operation]} ·{' '}
+                    {t.phaseValue[phase]} ·{' '}
+                    {yAxis === 'latency'
+                      ? percentile
+                      : locale === 'zh'
+                        ? `${percentile} 延迟分位点`
+                        : `at ${percentile} latency`}
+                  </h2>
+                  <p className="text-sm text-muted-foreground">
+                    {yAxis === 'activation-rate'
+                      ? 'Activation-data rate at selected latency percentile'
+                      : t.yAxis[yAxis]}
+                  </p>
+                </>
               }
-              isLegendExpanded={legendExpanded}
-              onExpandedChange={setLegendExpanded}
-              actions={
-                activeSeries.length < phaseSeries.length
-                  ? [
-                      {
-                        id: 'collectivex-reset-filter',
-                        label: t.resetFilter,
-                        onClick: () =>
-                          setActiveSeriesIds(new Set(phaseSeries.map((item) => item.series_id))),
-                      },
-                    ]
-                  : []
+              legendElement={
+                <ChartLegend
+                  variant="sidebar"
+                  legendItems={legendItems}
+                  disableActiveSort
+                  onItemRemove={(id) =>
+                    setActiveSeriesIds(
+                      (previous) => new Set([...previous].filter((item) => item !== id)),
+                    )
+                  }
+                  isLegendExpanded={legendExpanded}
+                  onExpandedChange={setLegendExpanded}
+                  actions={
+                    activeSeries.length < phaseSeries.length
+                      ? [
+                          {
+                            id: 'collectivex-reset-filter',
+                            label: t.resetFilter,
+                            onClick: () =>
+                              setActiveSeriesIds(
+                                new Set(phaseSeries.map((item) => item.series_id)),
+                              ),
+                          },
+                        ]
+                      : []
+                  }
+                />
               }
             />
-          }
-        />
-        {yAxis === 'activation-rate' && (
-          <p className="mt-2 text-xs text-muted-foreground">{t.payloadNote}</p>
-        )}
-        {yAxis === 'payload-rate' && (
-          <p className="mt-2 text-xs text-muted-foreground">{t.payloadBandwidthNote}</p>
-        )}
-      </Card>
-      <Card className="py-4 md:py-5">
-        <div className="grid gap-x-5 gap-y-3 sm:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6">
-          <SelectControl
-            label={t.version}
-            testId="collectivex-version-select"
-            value={version}
-            options={versionOptions}
-            onChange={(value) => {
-              setVersion(value);
-              track('collectivex_version_changed', { version: value });
-            }}
-          />
-          <ControlGroup label={t.runControl}>
-            {runsRequested ? (
-              runsQuery.isLoading ? (
-                <Button
-                  variant="outline"
-                  className="w-full justify-center"
-                  disabled
-                  data-testid="collectivex-runs-loading"
-                >
-                  <Loader2 className="size-4 animate-spin" />
-                  {t.loadingRuns}
-                </Button>
-              ) : runsQuery.error || !runsQuery.data ? (
-                <Button
-                  variant="outline"
-                  className="w-full justify-center"
-                  data-testid="collectivex-runs-retry"
-                  onClick={() => void runsQuery.refetch()}
-                >
-                  <RefreshCw className="size-4" />
-                  {t.retry}
-                </Button>
-              ) : (
-                <Select
-                  value={selectedRunId ?? 'latest'}
-                  onValueChange={(next) => {
-                    setSelectedRunId(next === 'latest' ? null : next);
-                    track('collectivex_run_selected', { version, run: next });
-                  }}
-                >
-                  <SelectTrigger data-testid="collectivex-run-select" className="min-w-0 w-full">
-                    <SelectValue />
-                  </SelectTrigger>
-                  <SelectContent>
-                    {runOptions.map((item) => (
-                      <SelectItem key={item.value} value={item.value}>
-                        {item.label}
-                      </SelectItem>
-                    ))}
-                  </SelectContent>
-                </Select>
-              )
-            ) : (
-              <Button
-                variant="outline"
-                className="w-full justify-center"
-                data-testid="collectivex-load-runs"
-                onClick={() => {
-                  setRunsRequested(true);
-                  track('collectivex_runs_requested', { version });
-                }}
-              >
-                {t.loadRuns}
-              </Button>
+            {yAxis === 'activation-rate' && (
+              <p className="mt-2 text-xs text-muted-foreground">{t.payloadNote}</p>
             )}
-          </ControlGroup>
-          <SelectControl
-            label={t.epControl}
-            testId="collectivex-ep-select"
-            value={String(epSize)}
-            options={availableEpSizes.map((value) => ({
-              value: String(value),
-              label: `EP${value}`,
-            }))}
-            onChange={(value) => {
-              setEpSize(Number(value));
-              track('collectivex_ep_changed', { ep: Number(value) });
-            }}
-          />
-          <SelectControl
-            label={t.operationControl}
-            testId="collectivex-operation-select"
-            value={operation}
-            options={operationOptions}
-            onChange={(next) => {
-              setOperation(next);
-              if (next !== 'roundtrip' && yAxis === 'tokens-per-second') setYAxis('latency');
-            }}
-          />
-          <ControlGroup label={t.phaseControl}>
-            <SegmentedToggle
-              value={phase}
-              options={phaseOptions}
-              onValueChange={setPhase}
-              ariaLabel={t.phaseAria}
-              testId="collectivex-phase-toggle"
-            />
-          </ControlGroup>
-          {availableModes.length > 1 && (
-            <ControlGroup label={t.modeControl}>
-              <SegmentedToggle
-                value={mode}
-                options={modeOptions}
-                onValueChange={(next) => {
-                  setMode(next);
-                  track('collectivex_mode_changed', { mode: next });
+            {yAxis === 'payload-rate' && (
+              <p className="mt-2 text-xs text-muted-foreground">{t.payloadBandwidthNote}</p>
+            )}
+          </Card>
+          <Card className="py-4 md:py-5">
+            <div className="grid gap-x-5 gap-y-3 sm:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6">
+              <SelectControl
+                label={t.epControl}
+                testId="collectivex-ep-select"
+                value={String(epSize)}
+                options={availableEpSizes.map((value) => ({
+                  value: String(value),
+                  label: `EP${value}`,
+                }))}
+                onChange={(value) => {
+                  setEpSize(Number(value));
+                  track('collectivex_ep_changed', { ep: Number(value) });
                 }}
-                ariaLabel={t.modeAria}
-                testId="collectivex-mode-toggle"
               />
-            </ControlGroup>
-          )}
-          <ControlGroup label={t.precisionControl}>
-            <SegmentedToggle
-              value={precision}
-              options={precisionOptions}
-              onValueChange={(next) => {
-                setPrecision(next);
-                track('collectivex_precision_changed', { precision: next });
-              }}
-              ariaLabel={t.precisionAria}
-              testId="collectivex-precision-toggle"
-            />
-          </ControlGroup>
-          <ControlGroup label={t.latencyPercentile}>
-            <SegmentedToggle
-              value={percentile}
-              options={PERCENTILE_OPTIONS}
-              onValueChange={setPercentile}
-              ariaLabel={t.percentileAria}
-              testId="collectivex-percentile-toggle"
-            />
-          </ControlGroup>
-          <SelectControl
-            label={t.sku}
-            testId="collectivex-sku-select"
-            value={sku}
-            options={selectOptions(skuOptions, t.all, true)}
-            onChange={setSku}
-          />
-          <SelectControl
-            label={t.backend}
-            testId="collectivex-backend-select"
-            value={backend}
-            options={selectOptions(backendOptions, t.all)}
-            onChange={setBackend}
-          />
-          <SelectControl
-            label={t.yAxisControl}
-            testId="collectivex-y-axis-select"
-            value={yAxis}
-            onChange={setYAxis}
-            options={[
-              { value: 'latency', label: t.yAxis.latency },
-              ...(operation === 'roundtrip'
-                ? ([
-                    {
-                      value: 'tokens-per-second',
-                      label: t.tokenRateOption,
-                    },
-                  ] as const)
-                : []),
-              {
-                value: 'activation-rate',
-                label: 'Activation-data rate at latency percentile',
-              },
-              {
-                value: 'payload-rate',
-                label: t.yAxis['payload-rate'],
-              },
-            ]}
+              <SelectControl
+                label={t.operationControl}
+                testId="collectivex-operation-select"
+                value={operation}
+                options={operationOptions}
+                onChange={(next) => {
+                  setOperation(next);
+                  if (next !== 'roundtrip' && yAxis === 'tokens-per-second') setYAxis('latency');
+                }}
+              />
+              <ControlGroup label={t.phaseControl}>
+                <SegmentedToggle
+                  value={phase}
+                  options={phaseOptions}
+                  onValueChange={setPhase}
+                  ariaLabel={t.phaseAria}
+                  testId="collectivex-phase-toggle"
+                />
+              </ControlGroup>
+              {availableModes.length > 1 && (
+                <ControlGroup label={t.modeControl}>
+                  <SegmentedToggle
+                    value={mode}
+                    options={modeOptions}
+                    onValueChange={(next) => {
+                      setMode(next);
+                      track('collectivex_mode_changed', { mode: next });
+                    }}
+                    ariaLabel={t.modeAria}
+                    testId="collectivex-mode-toggle"
+                  />
+                </ControlGroup>
+              )}
+              <ControlGroup label={t.precisionControl}>
+                <SegmentedToggle
+                  value={precision}
+                  options={precisionOptions}
+                  onValueChange={(next) => {
+                    setPrecision(next);
+                    track('collectivex_precision_changed', { precision: next });
+                  }}
+                  ariaLabel={t.precisionAria}
+                  testId="collectivex-precision-toggle"
+                />
+              </ControlGroup>
+              <ControlGroup label={t.latencyPercentile}>
+                <SegmentedToggle
+                  value={percentile}
+                  options={PERCENTILE_OPTIONS}
+                  onValueChange={setPercentile}
+                  ariaLabel={t.percentileAria}
+                  testId="collectivex-percentile-toggle"
+                />
+              </ControlGroup>
+              <SelectControl
+                label={t.sku}
+                testId="collectivex-sku-select"
+                value={sku}
+                options={selectOptions(skuOptions, t.all, true)}
+                onChange={setSku}
+              />
+              <SelectControl
+                label={t.backend}
+                testId="collectivex-backend-select"
+                value={backend}
+                options={selectOptions(backendOptions, t.all)}
+                onChange={setBackend}
+              />
+              <SelectControl
+                label={t.yAxisControl}
+                testId="collectivex-y-axis-select"
+                value={yAxis}
+                onChange={setYAxis}
+                options={[
+                  { value: 'latency', label: t.yAxis.latency },
+                  ...(operation === 'roundtrip'
+                    ? ([
+                        {
+                          value: 'tokens-per-second',
+                          label: t.tokenRateOption,
+                        },
+                      ] as const)
+                    : []),
+                  {
+                    value: 'activation-rate',
+                    label: 'Activation-data rate at latency percentile',
+                  },
+                  {
+                    value: 'payload-rate',
+                    label: t.yAxis['payload-rate'],
+                  },
+                ]}
+              />
+            </div>
+          </Card>
+          <CollectiveXInventory
+            key={`${version}-${datasets.map((dataset) => `${dataset.run.run_id}:${dataset.run.run_attempt}`).join(',')}`}
+            datasets={datasets}
           />
-        </div>
-      </Card>
-      <CollectiveXInventory
-        key={`${dataset.version}-${run.run_id}-${run.run_attempt}`}
-        dataset={dataset}
-      />
+        </>
+      )}
     </section>
   );
 }
diff --git a/packages/app/src/components/collectivex/CollectiveXInventory.tsx b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
index 7b854379d..c3e9ec57a 100644
--- a/packages/app/src/components/collectivex/CollectiveXInventory.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXInventory.tsx
@@ -9,6 +9,8 @@ import { type DataTableColumn, DataTable } from '@/components/ui/data-table';
 import { collectiveXTopologyLabel } from './data';
 import type { CollectiveXCoverage, CollectiveXDataset, CollectiveXTerminalStatus } from './types';
 
+type CollectiveXRunCoverage = CollectiveXCoverage & { run_id: string };
+
 const TERMINAL_ORDER: CollectiveXTerminalStatus[] = [
   'measured',
   'unsupported',
@@ -55,9 +57,22 @@ function TerminalBadges({ item }: { item: CollectiveXCoverage }) {
   );
 }
 
-export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset }) {
-  const columns = useMemo<DataTableColumn<CollectiveXCoverage>[]>(
+export function CollectiveXInventory({ datasets }: { datasets: CollectiveXDataset[] }) {
+  const rows = useMemo<CollectiveXRunCoverage[]>(
+    () =>
+      datasets.flatMap((dataset) =>
+        dataset.coverage.map((item) => ({ ...item, run_id: dataset.run.run_id })),
+      ),
+    [datasets],
+  );
+  const columns = useMemo<DataTableColumn<CollectiveXRunCoverage>[]>(
     () => [
+      {
+        header: 'Run',
+        cell: (row) => <span className="font-mono text-xs">#{row.run_id}</span>,
+        sortValue: (row) => Number(row.run_id),
+        className: 'whitespace-nowrap',
+      },
       {
         header: 'Case',
         cell: (row) => (
@@ -125,21 +140,27 @@ export function CollectiveXInventory({ dataset }: { dataset: CollectiveXDataset
     ],
     [],
   );
-  const points = dataset.coverage.flatMap((item) => item.points);
+  const points = rows.flatMap((item) => item.points);
   const measured = points.filter((point) => point.terminal_status === 'measured').length;
   const unsupported = points.filter((point) => point.terminal_status === 'unsupported').length;
+  const measuredCases = datasets.reduce((sum, dataset) => sum + dataset.run.measured_cases, 0);
+  const unsupportedCases = datasets.reduce(
+    (sum, dataset) => sum + dataset.run.unsupported_cases,
+    0,
+  );
+  const terminalPoints = datasets.reduce((sum, dataset) => sum + dataset.run.terminal_points, 0);
+  const requestedPoints = datasets.reduce((sum, dataset) => sum + dataset.run.requested_points, 0);
 
   return (
     <Card data-testid="collectivex-inventory" className="min-w-0 w-full max-w-full overflow-hidden">
       <h2 className="text-lg font-semibold">Matrix case inventory</h2>
       <p className="mt-1 text-sm text-muted-foreground">
-        {dataset.coverage.length} cases · {dataset.run.measured_cases} measured ·{' '}
-        {dataset.run.unsupported_cases} unsupported · {dataset.run.terminal_points}/
-        {dataset.run.requested_points} terminal points · {measured} measured · {unsupported}{' '}
-        unsupported
+        {datasets.length} runs · {rows.length} cases · {measuredCases} measured · {unsupportedCases}{' '}
+        unsupported · {terminalPoints}/{requestedPoints} terminal points · {measured} measured ·{' '}
+        {unsupported} unsupported
       </p>
       <DataTable
-        data={dataset.coverage}
+        data={rows}
         columns={columns}
         testId="collectivex-inventory-table"
         analyticsPrefix="collectivex_inventory"
diff --git a/packages/app/src/components/collectivex/CollectiveXRunsTable.tsx b/packages/app/src/components/collectivex/CollectiveXRunsTable.tsx
new file mode 100644
index 000000000..a1cc0cc2d
--- /dev/null
+++ b/packages/app/src/components/collectivex/CollectiveXRunsTable.tsx
@@ -0,0 +1,200 @@
+'use client';
+
+import { ExternalLink, Loader2, Trash2 } from 'lucide-react';
+
+import { Button } from '@/components/ui/button';
+import { track } from '@/lib/analytics';
+import { useLocale } from '@/lib/use-locale';
+import { cn } from '@/lib/utils';
+
+import type { CollectiveXRunSummary } from './types';
+
+interface CollectiveXRunsTableProps {
+  runs: CollectiveXRunSummary[];
+  visibleRunIds: ReadonlySet<string>;
+  loadingRunIds: ReadonlySet<string>;
+  deletingRunId: string | null;
+  onVisibleChange: (runId: string, visible: boolean) => void;
+  onDelete: (runId: string) => void;
+}
+
+const STRINGS = {
+  en: {
+    shown: 'Shown',
+    run: 'Run',
+    result: 'Result',
+    cases: 'Measured cases',
+    points: 'Terminal points',
+    skus: 'SKUs',
+    published: 'Published (UTC)',
+    actions: 'Actions',
+    pending: 'pending',
+    showRun: (id: string) => `Show run #${id}`,
+    openRun: (id: string) => `Open GitHub Actions run #${id}`,
+    deleteRun: (id: string) => `Delete run #${id}`,
+    empty: 'No runs match this benchmark version.',
+  },
+  // English placeholders per the repository's temporary language override.
+  zh: {
+    shown: 'Shown',
+    run: 'Run',
+    result: 'Result',
+    cases: 'Measured cases',
+    points: 'Terminal points',
+    skus: 'SKUs',
+    published: 'Published (UTC)',
+    actions: 'Actions',
+    pending: 'pending',
+    showRun: (id: string) => `Show run #${id}`,
+    openRun: (id: string) => `Open GitHub Actions run #${id}`,
+    deleteRun: (id: string) => `Delete run #${id}`,
+    empty: 'No runs match this benchmark version.',
+  },
+} as const;
+
+const CONCLUSION_CLASSES: Record<string, string> = {
+  success: 'border-emerald-600/40 bg-emerald-500/10 text-emerald-700 dark:text-emerald-300',
+  failure: 'border-red-600/40 bg-red-500/10 text-red-700 dark:text-red-300',
+};
+const CONCLUSION_FALLBACK_CLASS =
+  'border-amber-600/40 bg-amber-500/10 text-amber-700 dark:text-amber-300';
+
+function formatDate(value: string, locale: 'en' | 'zh'): string {
+  return new Intl.DateTimeFormat(locale === 'zh' ? 'zh-CN' : 'en', {
+    dateStyle: 'medium',
+    timeStyle: 'short',
+    timeZone: 'UTC',
+  }).format(new Date(value));
+}
+
+export function CollectiveXRunsTable({
+  runs,
+  visibleRunIds,
+  loadingRunIds,
+  deletingRunId,
+  onVisibleChange,
+  onDelete,
+}: CollectiveXRunsTableProps) {
+  const locale = useLocale();
+  const t = STRINGS[locale];
+
+  if (runs.length === 0) {
+    return <p className="py-6 text-center text-sm text-muted-foreground">{t.empty}</p>;
+  }
+
+  return (
+    <div
+      data-testid="collectivex-runs-table"
+      className="mt-3 max-h-[32rem] overflow-auto rounded-md border"
+    >
+      <table className="w-full min-w-[880px] text-sm">
+        <thead className="sticky top-0 z-1 bg-background">
+          <tr className="border-b-2 border-border text-left text-muted-foreground">
+            <th className="px-3 py-2 font-medium">{t.shown}</th>
+            <th className="px-3 py-2 font-medium">{t.run}</th>
+            <th className="px-3 py-2 font-medium">{t.result}</th>
+            <th className="px-3 py-2 text-right font-medium">{t.cases}</th>
+            <th className="px-3 py-2 text-right font-medium">{t.points}</th>
+            <th className="px-3 py-2 font-medium">{t.skus}</th>
+            <th className="px-3 py-2 font-medium">{t.published}</th>
+            <th className="px-3 py-2 text-right font-medium">{t.actions}</th>
+          </tr>
+        </thead>
+        <tbody>
+          {runs.map((run) => {
+            const visible = visibleRunIds.has(run.run_id);
+            const loading = loadingRunIds.has(run.run_id);
+            const deleting = deletingRunId === run.run_id;
+            const conclusion = run.conclusion ?? t.pending;
+            return (
+              <tr
+                key={run.run_id}
+                data-testid={`collectivex-run-row-${run.run_id}`}
+                className={cn(
+                  'border-b border-border/50 transition-colors last:border-b-0 hover:bg-muted/30',
+                  visible && 'bg-primary/5',
+                )}
+              >
+                <td className="px-3 py-2">
+                  <div className="flex items-center gap-2">
+                    <input
+                      type="checkbox"
+                      checked={visible}
+                      aria-label={t.showRun(run.run_id)}
+                      data-testid={`collectivex-run-visible-${run.run_id}`}
+                      onChange={(event) => {
+                        const next = event.target.checked;
+                        onVisibleChange(run.run_id, next);
+                        track('collectivex_run_visibility_toggled', {
+                          run: run.run_id,
+                          visible: next,
+                        });
+                      }}
+                      className="size-4 accent-primary"
+                    />
+                    {loading && <Loader2 className="size-3.5 animate-spin text-muted-foreground" />}
+                  </div>
+                </td>
+                <td className="px-3 py-2 font-mono text-xs">
+                  <a
+                    href={`https://github.com/SemiAnalysisAI/InferenceX/actions/runs/${run.run_id}`}
+                    target="_blank"
+                    rel="noopener noreferrer"
+                    aria-label={t.openRun(run.run_id)}
+                    onClick={() => track('collectivex_run_source_opened', { run: run.run_id })}
+                    className="inline-flex items-center gap-1 hover:underline"
+                  >
+                    #{run.run_id}
+                    <ExternalLink className="size-3" />
+                  </a>
+                </td>
+                <td className="px-3 py-2">
+                  <span
+                    className={cn(
+                      'inline-flex rounded-md border px-2 py-0.5 text-[11px] font-medium',
+                      CONCLUSION_CLASSES[conclusion] ?? CONCLUSION_FALLBACK_CLASS,
+                    )}
+                  >
+                    {conclusion}
+                  </span>
+                </td>
+                <td className="px-3 py-2 text-right tabular-nums">
+                  {run.measured_cases}/{run.requested_cases}
+                </td>
+                <td className="px-3 py-2 text-right tabular-nums">
+                  {run.terminal_points}/{run.requested_points}
+                </td>
+                <td className="px-3 py-2">
+                  {run.covered_skus.length > 0
+                    ? run.covered_skus.map((sku) => sku.toUpperCase()).join(', ')
+                    : '—'}
+                </td>
+                <td className="whitespace-nowrap px-3 py-2 text-xs text-muted-foreground">
+                  {formatDate(run.generated_at, locale)}
+                </td>
+                <td className="px-3 py-2 text-right">
+                  <Button
+                    type="button"
+                    variant="ghost"
+                    size="icon"
+                    aria-label={t.deleteRun(run.run_id)}
+                    data-testid={`collectivex-delete-run-${run.run_id}`}
+                    disabled={deletingRunId !== null}
+                    onClick={() => onDelete(run.run_id)}
+                    className="text-destructive hover:bg-destructive/10 hover:text-destructive"
+                  >
+                    {deleting ? (
+                      <Loader2 className="size-4 animate-spin" />
+                    ) : (
+                      <Trash2 className="size-4" />
+                    )}
+                  </Button>
+                </td>
+              </tr>
+            );
+          })}
+        </tbody>
+      </table>
+    </div>
+  );
+}
diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
index 1cef8037a..1e5ea7cba 100644
--- a/packages/app/src/components/collectivex/data.test.ts
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -3,6 +3,7 @@ import { describe, expect, it } from 'vitest';
 import {
   chartPoints,
   collectiveXColorKey,
+  collectiveXSeriesForRun,
   collectiveXSeriesLabel,
   collectiveXTopologyLabel,
   fitAlphaBeta,
@@ -48,6 +49,13 @@ describe('collectiveXSeriesLabel', () => {
   it('shows the selected EP degree, mode, and phase', () => {
     expect(collectiveXSeriesLabel(scaleOut)).toContain('EP16 · normal · decode');
   });
+
+  it('includes the run id for namespaced multi-run series', () => {
+    const [runSeries] = collectiveXSeriesForRun([scaleUp], '30165164821');
+    expect(collectiveXSeriesLabel(runSeries)).toBe(
+      '#30165164821 · H200-DGXC · deepep-v2 · EP8 · normal · decode · bf16',
+    );
+  });
 });
 
 describe('collectiveXColorKey', () => {
@@ -83,6 +91,25 @@ describe('collectiveXColorKey', () => {
     const amd = makeCollectiveXSeries({ sku: 'mi355x', vendor: 'amd' });
     expect(collectiveXColorKey(amd).split('_')[0]).toBe('amd');
   });
+
+  it('assigns distinct keys to the same configuration from different runs', () => {
+    const [first] = collectiveXSeriesForRun([scaleUp], '30165164821');
+    const [second] = collectiveXSeriesForRun([scaleUp], '30177021271');
+    expect(collectiveXColorKey(first)).not.toBe(collectiveXColorKey(second));
+  });
+});
+
+describe('collectiveXSeriesForRun', () => {
+  it('namespaces otherwise-colliding series ids without mutating the source', () => {
+    const originalId = scaleUp.series_id;
+    const [first] = collectiveXSeriesForRun([scaleUp], '30165164821');
+    const [second] = collectiveXSeriesForRun([scaleUp], '30177021271');
+
+    expect(first.series_id).toBe(`30165164821:${originalId}`);
+    expect(first.run_id).toBe('30165164821');
+    expect(second.series_id).toBe(`30177021271:${originalId}`);
+    expect(scaleUp.series_id).toBe(originalId);
+  });
 });
 
 describe('seriesMatchesSelection', () => {
diff --git a/packages/app/src/components/collectivex/data.ts b/packages/app/src/components/collectivex/data.ts
index 22276710f..cebe2fea6 100644
--- a/packages/app/src/components/collectivex/data.ts
+++ b/packages/app/src/components/collectivex/data.ts
@@ -7,6 +7,7 @@ import type {
   CollectiveXPhase,
   CollectiveXPoint,
   CollectiveXPrecision,
+  CollectiveXRunSeries,
   CollectiveXSeries,
   CollectiveXYAxis,
 } from './types';
@@ -35,12 +36,26 @@ export function collectiveXTopologyLabel(
   return `${system.nodes}x${system.gpus_per_node} · domain ${system.scale_up_domain} · ${transports} · ${system.topology_class}`;
 }
 
-export function collectiveXSeriesLabel(series: CollectiveXSeries): string {
-  return `${series.system.sku.toUpperCase()} · ${series.backend} · EP${series.system.ep_size} · ${series.mode} · ${series.phase} · ${series.precision}`;
+export function collectiveXSeriesLabel(series: CollectiveXSeries | CollectiveXRunSeries): string {
+  const runPrefix = 'run_id' in series ? `#${series.run_id} · ` : '';
+  return `${runPrefix}${series.system.sku.toUpperCase()} · ${series.backend} · EP${series.system.ep_size} · ${series.mode} · ${series.phase} · ${series.precision}`;
 }
 
-export function collectiveXColorKey(series: CollectiveXSeries): string {
-  return `${series.system.vendor}_${series.system.sku}_${series.backend}_ep${series.system.ep_size}_${series.mode}_${series.phase}_${series.precision}`;
+export function collectiveXColorKey(series: CollectiveXSeries | CollectiveXRunSeries): string {
+  const runSuffix = 'run_id' in series ? `_run${series.run_id}` : '';
+  return `${series.system.vendor}_${series.system.sku}_${series.backend}_ep${series.system.ep_size}_${series.mode}_${series.phase}_${series.precision}${runSuffix}`;
+}
+
+/** Namespace series ids and color/label identity so runs can render together safely. */
+export function collectiveXSeriesForRun(
+  series: readonly CollectiveXSeries[],
+  runId: string,
+): CollectiveXRunSeries[] {
+  return series.map((item) => ({
+    ...item,
+    series_id: `${runId}:${item.series_id}`,
+    run_id: runId,
+  }));
 }
 
 export function seriesMatchesSelection(
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
index 26ff61725..669c5e6a8 100644
--- a/packages/app/src/components/collectivex/types.ts
+++ b/packages/app/src/components/collectivex/types.ts
@@ -7,6 +7,7 @@
 
 import type {
   CollectiveXPoint,
+  CollectiveXSeries,
   CollectiveXVersion,
 } from '@semianalysisai/inferencex-db/collectivex/types';
 
@@ -51,3 +52,8 @@ export interface CollectiveXChartPoint {
   y: number;
   point: CollectiveXPoint;
 }
+
+/** A stored run's series namespaced for simultaneous multi-run rendering. */
+export type CollectiveXRunSeries = CollectiveXSeries & {
+  run_id: string;
+};
diff --git a/packages/app/src/hooks/api/use-collectivex.ts b/packages/app/src/hooks/api/use-collectivex.ts
index 11c27103e..c3d9603ed 100644
--- a/packages/app/src/hooks/api/use-collectivex.ts
+++ b/packages/app/src/hooks/api/use-collectivex.ts
@@ -1,4 +1,4 @@
-import { useMutation, useQuery, useQueryClient } from '@tanstack/react-query';
+import { useMutation, useQueries, useQuery, useQueryClient } from '@tanstack/react-query';
 
 import {
   deleteCollectiveXRun,
@@ -22,27 +22,22 @@ export function useCollectiveX(version: CollectiveXVersion = COLLECTIVEX_DEFAULT
 }
 
 /**
- * Ingested runs for a version, backing the run picker. `enabled` gates the
- * fetch so the list is only pulled when the user opens the picker; refetched on
- * mount so a reopened picker reflects newly ingested runs without a hard reload.
+ * Every ingested run summary for a version, backing the always-visible run
+ * table. Refetched on mount so the table reflects newly ingested runs without
+ * a hard reload.
  */
-export function useCollectiveXRuns(
-  version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
-  enabled = true,
-) {
+export function useCollectiveXRuns(version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION) {
   return useQuery({
     queryKey: ['collectivex-runs', version],
     queryFn: ({ signal }) => fetchCollectiveXRunList(version, signal),
-    enabled,
     staleTime: 0,
     refetchOnMount: 'always',
   });
 }
 
 /**
- * Resolve one selected run's neutral dataset by run_id. `enabled` gates the fetch
- * so the picker only loads a run once the user selects a non-default one; the
- * default view keeps using the latest run via {@link useCollectiveX}.
+ * Resolve one selected run's neutral dataset by run_id. Kept as the focused
+ * single-run hook for callers that do not need the multi-run table.
  */
 export function useCollectiveXRun(version: CollectiveXVersion, runId: string | null) {
   return useQuery({
@@ -54,10 +49,22 @@ export function useCollectiveXRun(version: CollectiveXVersion, runId: string | n
   });
 }
 
+/** Resolve every checked run in parallel for the multi-run explorer. */
+export function useCollectiveXRunDatasets(version: CollectiveXVersion, runIds: readonly string[]) {
+  return useQueries({
+    queries: runIds.map((runId) => ({
+      queryKey: ['collectivex-run', version, runId],
+      queryFn: ({ signal }: { signal: AbortSignal }) => fetchCollectiveXRun(version, runId, signal),
+      staleTime: 0,
+      refetchOnMount: 'always' as const,
+    })),
+  });
+}
+
 /**
  * Admin deletion of an ingested run. Resolves `false` on 401 (stale token —
  * the caller clears its stored copy); on success every CollectiveX query is
- * invalidated so the latest view and picker drop the run immediately.
+ * invalidated so the latest view and run table drop the run immediately.
  */
 export function useDeleteCollectiveXRun() {
   const queryClient = useQueryClient();
diff --git a/packages/app/src/lib/collectivex-lazy-ingest.ts b/packages/app/src/lib/collectivex-lazy-ingest.ts
index ed0a370f4..96f2b6cb1 100644
--- a/packages/app/src/lib/collectivex-lazy-ingest.ts
+++ b/packages/app/src/lib/collectivex-lazy-ingest.ts
@@ -49,7 +49,7 @@ const MAX_RUN_BYTES = 256 * 1024 * 1024;
 const REQUEST_TIMEOUT_MS = 30_000;
 const MAX_REQUEST_ATTEMPTS = 3;
 const RETRYABLE_STATUSES = new Set([408, 429, 500, 502, 503, 504]);
-// The picker backfill ingests at most this many recent runs per pass; each
+// The run-table backfill ingests at most this many recent runs per pass; each
 // costs one artifact-bundle download, and only once — afterwards they're rows.
 const MAX_DISCOVERED_RUNS = 8;
 
@@ -429,7 +429,7 @@ async function persistRun(
     source_sha: run.head_sha,
   };
 
-  // Assemble once to validate the bundle and precompute the picker summary;
+  // Assemble once to validate the bundle and precompute the run-table summary;
   // only the raw documents are stored.
   let summary;
   try {
@@ -513,7 +513,7 @@ export function ensureLatestCollectiveXRun(version: CollectiveXVersion): Promise
 
 /**
  * Backfill up to MAX_DISCOVERED_RUNS recent requested-version runs into the
- * DB so the picker lists recent sweeps even before anyone viewed them. Only
+ * DB so the run table lists recent sweeps even before anyone viewed them. Only
  * live matches count toward the cap — tombstoned runs never fill a slot.
  */
 export function ensureCollectiveXRunsList(version: CollectiveXVersion): Promise<void> {
diff --git a/packages/db/src/queries/collectivex.test.ts b/packages/db/src/queries/collectivex.test.ts
index 6a7ab7a71..e0dfd1144 100644
--- a/packages/db/src/queries/collectivex.test.ts
+++ b/packages/db/src/queries/collectivex.test.ts
@@ -78,6 +78,7 @@ describe('read queries', () => {
     await listCollectiveXRuns(sql, 1);
     expect(calls[0].text).toContain('deleted_at IS NULL');
     expect(calls[0].text).toContain('ORDER BY run_id DESC');
+    expect(calls[0].text).not.toContain('LIMIT');
   });
 });
 
diff --git a/packages/db/src/queries/collectivex.ts b/packages/db/src/queries/collectivex.ts
index be0b943af..711558ab2 100644
--- a/packages/db/src/queries/collectivex.ts
+++ b/packages/db/src/queries/collectivex.ts
@@ -41,9 +41,6 @@ export interface CollectiveXRunStateRow {
   run_attempt: number;
 }
 
-/** Run summaries capped at this many rows — deletion keeps the list curated. */
-const MAX_LISTED_RUNS = 50;
-
 function toRunRow(row: Record<string, unknown>): CollectiveXRunRow {
   const { docs, ...rest } = row as unknown as Omit<CollectiveXRunRow, 'docs'> & { docs: unknown };
   return { ...rest, docs: Array.isArray(docs) ? docs : [] };
@@ -104,7 +101,7 @@ export async function getCollectiveXRun(
 }
 
 /**
- * Newest-first live run summaries for the picker, straight from the
+ * Every live run summary for a version, newest-first, straight from the
  * precomputed `summary` column — no document loading.
  */
 export async function listCollectiveXRuns(
@@ -116,7 +113,6 @@ export async function listCollectiveXRuns(
     FROM cx_runs
     WHERE version = ${version} AND deleted_at IS NULL
     ORDER BY run_id DESC
-    LIMIT ${MAX_LISTED_RUNS}
   `;
   return rows.map((row) => row.summary as CollectiveXRunSummary);
 }

From dd741c53abd1da628d398e5de7e4181cf3b19386 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 29 Jul 2026 16:02:22 +0800
Subject: [PATCH 29/37] test(collectivex): key fixtures by run

---
 .../fixtures/api/collectivex-run-159.json     | 1087 +++++++++++++++++
 .../fixtures/api/collectivex-runs.json        |   45 +-
 .../app/scripts/capture-cypress-fixtures.ts   |   76 +-
 .../runs/[runId]/route.fixtures.test.ts       |   92 ++
 .../api/v1/collectivex/runs/[runId]/route.ts  |   18 +-
 5 files changed, 1297 insertions(+), 21 deletions(-)
 create mode 100644 packages/app/cypress/fixtures/api/collectivex-run-159.json
 create mode 100644 packages/app/src/app/api/v1/collectivex/runs/[runId]/route.fixtures.test.ts

diff --git a/packages/app/cypress/fixtures/api/collectivex-run-159.json b/packages/app/cypress/fixtures/api/collectivex-run-159.json
new file mode 100644
index 000000000..addd0b51e
--- /dev/null
+++ b/packages/app/cypress/fixtures/api/collectivex-run-159.json
@@ -0,0 +1,1087 @@
+{
+  "version": 1,
+  "run": {
+    "run_id": "159",
+    "run_attempt": 1,
+    "generated_at": "2026-07-07T12:20:00Z",
+    "conclusion": "success",
+    "source_sha": "dddddddddddddddddddddddddddddddddddddddd",
+    "requested_cases": 1,
+    "terminal_cases": 1,
+    "measured_cases": 1,
+    "unsupported_cases": 0,
+    "failed_cases": 0,
+    "requested_points": 10,
+    "terminal_points": 10,
+    "measured_points": 10,
+    "covered_skus": ["h200-dgxc"]
+  },
+  "coverage": [
+    {
+      "case_id": "h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-fp8",
+      "label": "h200-dgxc · deepep-v2 · normal · decode · EP8 · fp8",
+      "disposition": "runnable",
+      "sku": "h200-dgxc",
+      "backend": "deepep-v2",
+      "phase": "decode",
+      "mode": "normal",
+      "precision": "fp8",
+      "topology": {
+        "ep_size": 8,
+        "nodes": 1,
+        "gpus_per_node": 8,
+        "scale_up_domain": 8,
+        "scale_up_transport": "nvlink",
+        "scale_out_transport": null,
+        "topology_class": "h200-nvlink-island"
+      },
+      "points": [
+        {
+          "tokens_per_rank": 1,
+          "global_tokens": 8,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 2,
+          "global_tokens": 16,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 4,
+          "global_tokens": 32,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 8,
+          "global_tokens": 64,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 16,
+          "global_tokens": 128,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 32,
+          "global_tokens": 256,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 64,
+          "global_tokens": 512,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 128,
+          "global_tokens": 1024,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 256,
+          "global_tokens": 2048,
+          "terminal_status": "measured",
+          "reason": null
+        },
+        {
+          "tokens_per_rank": 512,
+          "global_tokens": 4096,
+          "terminal_status": "measured",
+          "reason": null
+        }
+      ],
+      "outcome": "success",
+      "reason": null,
+      "detail": null
+    }
+  ],
+  "series": [
+    {
+      "series_id": "h200-dgxc-deepep-v2-deepseek-v3-normal-decode-ep8-uniform-fp8",
+      "phase": "decode",
+      "mode": "normal",
+      "precision": "fp8",
+      "backend": "deepep-v2",
+      "system": {
+        "ep_size": 8,
+        "nodes": 1,
+        "gpus_per_node": 8,
+        "scale_up_domain": 8,
+        "scale_up_transport": "nvlink",
+        "scale_out_transport": null,
+        "topology_class": "h200-nvlink-island",
+        "sku": "h200-dgxc",
+        "vendor": "nvidia"
+      },
+      "points": [
+        {
+          "tokens_per_rank": 1,
+          "global_tokens": 8,
+          "components": {
+            "dispatch": {
+              "latency_us": {
+                "p50": 417,
+                "p90": 450.36,
+                "p95": 467.04,
+                "p99": 500.4
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 922.6952134292566,
+                "p90": 854.3474198419042,
+                "p95": 823.8350119904076,
+                "p99": 768.9126778577139
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 119.90407673860912,
+                "p90": 111.02229327648992,
+                "p95": 107.05721137375814,
+                "p99": 99.92006394884093
+              },
+              "payload_bytes": 400000000
+            },
+            "stage": {
+              "latency_us": {
+                "p50": 120,
+                "p90": 129.60000000000002,
+                "p95": 134.4,
+                "p99": 144
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+                "p99": 691.7725710176197
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 105.82037540453075,
+                "p90": 97.98182907826921,
+                "p95": 94.48247803975958,
+                "p99": 88.1836461704423
+              },
+              "payload_bytes": 784763904
+            }
+          },
+          "roundtrip_token_rate_at_latency_percentile": {
+            "p50": 8338218,
+            "p90": 9005275.440000001,
+            "p95": 9338804.16,
+            "p99": 10005861.6
+          }
+        },
+        {
+          "tokens_per_rank": 128,
+          "global_tokens": 1024,
+          "components": {
+            "dispatch": {
+              "latency_us": {
+                "p50": 424,
+                "p90": 457.92,
+                "p95": 474.88000000000005,
+                "p99": 508.79999999999995
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 907.4620377358491,
+                "p90": 840.2426275331936,
+                "p95": 810.2339622641508,
+                "p99": 756.2183647798744
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 117.9245283018868,
+                "p90": 109.18937805730259,
+                "p95": 105.2897574123989,
+                "p99": 98.27044025157234
+              },
+              "payload_bytes": 400000000
+            },
+            "stage": {
+              "latency_us": {
+                "p50": 127,
+                "p90": 137.16,
+                "p95": 142.24,
+                "p99": 152.4
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 1514.8185196850393,
+                "p90": 1402.6097404491106,
+                "p95": 1352.5165354330707,
+                "p99": 1262.3487664041995
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 189.3523149606299,
+                "p90": 175.32621755613883,
+                "p95": 169.06456692913383,
+                "p99": 157.79359580052494
+              },
+              "payload_bytes": 192381952
+            },
+            "combine": {
+              "latency_us": {
+                "p50": 399,
+                "p90": 430.92,
+                "p95": 446.88000000000005,
+                "p99": 478.79999999999995
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 964.3205614035088,
+                "p90": 892.8894087069526,
+                "p95": 861.0005012531327,
+                "p99": 803.6004678362574
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 120.5400701754386,
+                "p90": 111.61117608836908,
+                "p95": 107.62506265664159,
+                "p99": 100.45005847953217
+              },
+              "payload_bytes": 384763904
+            },
+            "roundtrip": {
+              "latency_us": {
+                "p50": 928,
+                "p90": 1002.24,
+                "p95": 1039.3600000000001,
+                "p99": 1113.6
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 829.232551724138,
+                "p90": 767.8079182630906,
+                "p95": 740.3862068965517,
+                "p99": 691.0271264367817
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 105.70634482758621,
+                "p90": 97.87624521072797,
+                "p95": 94.38066502463055,
+                "p99": 88.08862068965517
+              },
+              "payload_bytes": 784763904
+            }
+          },
+          "roundtrip_token_rate_at_latency_percentile": {
+            "p50": 8338218,
+            "p90": 9005275.440000001,
+            "p95": 9338804.16,
+            "p99": 10005861.6
+          }
+        },
+        {
+          "tokens_per_rank": 256,
+          "global_tokens": 2048,
+          "components": {
+            "dispatch": {
+              "latency_us": {
+                "p50": 425,
+                "p90": 459.00000000000006,
+                "p95": 476.00000000000006,
+                "p99": 510
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 905.3268329411765,
+                "p90": 838.2655860566448,
+                "p95": 808.3275294117645,
+                "p99": 754.4390274509803
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 117.64705882352942,
+                "p90": 108.93246187363833,
+                "p95": 105.04201680672269,
+                "p99": 98.0392156862745
+              },
+              "payload_bytes": 400000000
+            },
+            "stage": {
+              "latency_us": {
+                "p50": 128,
+                "p90": 138.24,
+                "p95": 143.36,
+                "p99": 153.6
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 1502.984,
+                "p90": 1391.6518518518517,
+                "p95": 1341.9499999999998,
+                "p99": 1252.4866666666667
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 187.873,
+                "p90": 173.95648148148146,
+                "p95": 167.74374999999998,
+                "p99": 156.56083333333333
+              },
+              "payload_bytes": 192381952
+            },
+            "combine": {
+              "latency_us": {
+                "p50": 400,
+                "p90": 432,
+                "p95": 448.00000000000006,
+                "p99": 480
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 961.90976,
+                "p90": 890.6571851851852,
+                "p95": 858.848,
+                "p99": 801.5914666666667
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 120.23872,
+                "p90": 111.33214814814815,
+                "p95": 107.356,
+                "p99": 100.19893333333334
+              },
+              "payload_bytes": 384763904
+            },
+            "roundtrip": {
+              "latency_us": {
+                "p50": 929,
+                "p90": 1003.32,
+                "p95": 1040.48,
+                "p99": 1114.8
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 828.3399440258343,
+                "p90": 766.9814296535502,
+                "p95": 739.5892357373519,
+                "p99": 690.2832866881952
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 105.5925597416577,
+                "p90": 97.77088864968306,
+                "p95": 94.27907119790866,
+                "p99": 87.99379978471475
+              },
+              "payload_bytes": 784763904
+            }
+          },
+          "roundtrip_token_rate_at_latency_percentile": {
+            "p50": 8338218,
+            "p90": 9005275.440000001,
+            "p95": 9338804.16,
+            "p99": 10005861.6
+          }
+        },
+        {
+          "tokens_per_rank": 512,
+          "global_tokens": 4096,
+          "components": {
+            "dispatch": {
+              "latency_us": {
+                "p50": 426,
+                "p90": 460.08000000000004,
+                "p95": 477.12000000000006,
+                "p99": 511.2
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 903.2016525821597,
+                "p90": 836.2978264649626,
+                "p95": 806.4300469483567,
+                "p99": 752.6680438184663
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 117.37089201877934,
+                "p90": 108.67675186924012,
+                "p95": 104.79543930248154,
+                "p99": 97.80907668231613
+              },
+              "payload_bytes": 400000000
+            },
+            "stage": {
+              "latency_us": {
+                "p50": 129,
+                "p90": 139.32000000000002,
+                "p95": 144.48000000000002,
+                "p99": 154.79999999999998
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 1491.33296124031,
+                "p90": 1380.863853000287,
+                "p95": 1331.5472868217053,
+                "p99": 1242.7774677002585
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 186.41662015503874,
+                "p90": 172.60798162503588,
+                "p95": 166.44341085271316,
+                "p99": 155.3471834625323
+              },
+              "payload_bytes": 192381952
+            },
+            "combine": {
+              "latency_us": {
+                "p50": 401,
+                "p90": 433.08000000000004,
+                "p95": 449.12000000000006,
+                "p99": 481.2
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 959.5109825436409,
+                "p90": 888.4360949478155,
+                "p95": 856.706234413965,
+                "p99": 799.5924854530341
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 119.93887281795512,
+                "p90": 111.05451186847694,
+                "p95": 107.08827930174563,
+                "p99": 99.94906068162926
+              },
+              "payload_bytes": 384763904
+            },
+            "roundtrip": {
+              "latency_us": {
+                "p50": 930,
+                "p90": 1004.4000000000001,
+                "p95": 1041.6000000000001,
+                "p99": 1116
+              },
+              "activation_data_rate_gbps_at_latency_percentile": {
+                "p50": 827.4492559139785,
+                "p90": 766.1567184388689,
+                "p95": 738.7939784946236,
+                "p99": 689.541046594982
+              },
+              "payload_data_rate_gbps_at_latency_percentile": {
+                "p50": 105.47901935483871,
+                "p90": 97.66575866188768,
+                "p95": 94.17769585253455,
+                "p99": 87.89918279569893
+              },
+              "payload_bytes": 784763904
+            }
+          },
+          "roundtrip_token_rate_at_latency_percentile": {
+            "p50": 8338218,
+            "p90": 9005275.440000001,
+            "p95": 9338804.16,
+            "p99": 10005861.6
+          }
+        }
+      ]
+    }
+  ]
+}
diff --git a/packages/app/cypress/fixtures/api/collectivex-runs.json b/packages/app/cypress/fixtures/api/collectivex-runs.json
index d72ff4f2c..9baa64d40 100644
--- a/packages/app/cypress/fixtures/api/collectivex-runs.json
+++ b/packages/app/cypress/fixtures/api/collectivex-runs.json
@@ -1 +1,44 @@
-{"version":1,"runs":[{"run_id":"160","run_attempt":1,"generated_at":"2026-07-08T12:20:00Z","conclusion":"success","covered_skus":["b200-dgxc","b300","h200-dgxc","mi355x"],"requested_cases":5,"measured_cases":3,"requested_points":50,"terminal_points":40,"terminal_counts":{"measured":3,"unsupported":1,"failed":0}}]}
+{
+  "version": 1,
+  "runs": [
+    {
+      "run_id": "160",
+      "run_attempt": 1,
+      "generated_at": "2026-07-08T12:20:00Z",
+      "conclusion": "success",
+      "covered_skus": [
+        "b200-dgxc",
+        "b300",
+        "h200-dgxc",
+        "mi355x"
+      ],
+      "requested_cases": 5,
+      "measured_cases": 3,
+      "requested_points": 50,
+      "terminal_points": 40,
+      "terminal_counts": {
+        "measured": 3,
+        "unsupported": 1,
+        "failed": 0
+      }
+    },
+    {
+      "run_id": "159",
+      "run_attempt": 1,
+      "generated_at": "2026-07-07T12:20:00Z",
+      "conclusion": "success",
+      "covered_skus": [
+        "h200-dgxc"
+      ],
+      "requested_cases": 1,
+      "measured_cases": 1,
+      "requested_points": 10,
+      "terminal_points": 10,
+      "terminal_counts": {
+        "measured": 1,
+        "unsupported": 0,
+        "failed": 0
+      }
+    }
+  ]
+}
diff --git a/packages/app/scripts/capture-cypress-fixtures.ts b/packages/app/scripts/capture-cypress-fixtures.ts
index c292d4305..ad7aca195 100644
--- a/packages/app/scripts/capture-cypress-fixtures.ts
+++ b/packages/app/scripts/capture-cypress-fixtures.ts
@@ -8,16 +8,23 @@
  * Usage:
  *   pnpm --filter app capture:fixtures                              (prod)
  *   pnpm --filter app capture:fixtures http://localhost:3000        (local dev)
+ *   pnpm --filter app capture:fixtures -- --collectivex-only         (synthetic multi-run data)
  */
 
 import { mkdir, writeFile } from 'node:fs/promises';
 import { resolve } from 'node:path';
 
 import { buildRunSummary } from '@semianalysisai/inferencex-db/collectivex/reader';
-import { makeCollectiveXDataset } from '@semianalysisai/inferencex-db/collectivex/test-fixture';
+import {
+  buildDataset,
+  makeCollectiveXDataset,
+  makeRawShard,
+} from '@semianalysisai/inferencex-db/collectivex/test-fixture';
 
+const cliArgs = process.argv.filter((argument) => argument !== '--').slice(2);
+const collectiveXOnly = cliArgs.includes('--collectivex-only');
 const baseUrl = (
-  process.argv.filter((a) => a !== '--').slice(2)[0] ?? 'https://inferencex.semianalysis.com'
+  cliArgs.find((argument) => !argument.startsWith('--')) ?? 'https://inferencex.semianalysis.com'
 ).replace(/\/$/u, '');
 
 // `import.meta.dirname` is undefined when this script runs through tsx's CJS
@@ -134,9 +141,52 @@ async function writeFixture(name: string, data: unknown): Promise<number> {
   return body.length;
 }
 
+async function writeCollectiveXFixtures(): Promise<[string, number][]> {
+  const latest = makeCollectiveXDataset();
+  const comparison = buildDataset({
+    shards: [makeRawShard({ precision: 'fp8' })],
+    meta: {
+      run_id: '159',
+      generated_at: '2026-07-07T12:20:00Z',
+      source_sha: 'd'.repeat(40),
+    },
+  });
+  const datasets = [latest, comparison];
+  const sizes: [string, number][] = [
+    ['collectivex-latest', await writeFixture('collectivex-latest', latest)],
+  ];
+  // The newest dataset already has the stable `collectivex-latest` fixture;
+  // older runs get id-keyed files for multi-run selection.
+  for (const dataset of datasets.slice(1)) {
+    const name = `collectivex-run-${dataset.run.run_id}`;
+    sizes.push([name, await writeFixture(name, dataset)]);
+  }
+  sizes.push([
+    'collectivex-runs',
+    await writeFixture('collectivex-runs', {
+      version: 1,
+      runs: datasets.map(buildRunSummary),
+    }),
+  ]);
+  return sizes;
+}
+
+function printSizes(sizes: [string, number][]) {
+  for (const [name, bytes] of sizes) {
+    console.log(`  ${name.padEnd(22)} ${(bytes / 1024).toFixed(1).padStart(8)} KB`);
+  }
+  console.log(`\nWrote ${sizes.length} fixtures to ${fixturesDir}`);
+}
+
 async function main() {
-  console.log(`Capturing fixtures from ${baseUrl}`);
   await mkdir(fixturesDir, { recursive: true });
+  if (collectiveXOnly) {
+    console.log('Generating synthetic CollectiveX fixtures');
+    printSizes(await writeCollectiveXFixtures());
+    return;
+  }
+
+  console.log(`Capturing fixtures from ${baseUrl}`);
 
   const latestDate = await fetchLatestDate();
   console.log(
@@ -192,6 +242,7 @@ async function main() {
   );
 
   const N = TOP_DATES_PER_PARTITION;
+  const collectiveXSizes = await writeCollectiveXFixtures();
   const sizes: [string, number][] = [
     [
       'availability',
@@ -253,23 +304,12 @@ async function main() {
       }),
     ],
     ['workflow-info', await writeFixture('workflow-info', workflowInfo)],
-    // CollectiveX fixtures are synthetic (deterministic contract builders),
-    // not captured — production may hold arbitrary sweep data while the e2e
-    // suite asserts on the builders' known shape.
-    ['collectivex-latest', await writeFixture('collectivex-latest', makeCollectiveXDataset())],
-    [
-      'collectivex-runs',
-      await writeFixture('collectivex-runs', {
-        version: 1,
-        runs: [buildRunSummary(makeCollectiveXDataset())],
-      }),
-    ],
+    // Synthetic deterministic data: production may hold arbitrary sweeps,
+    // while e2e asserts on the builders' known multi-run shape.
+    ...collectiveXSizes,
   ];
 
-  for (const [name, bytes] of sizes) {
-    console.log(`  ${name.padEnd(22)} ${(bytes / 1024).toFixed(1).padStart(8)} KB`);
-  }
-  console.log(`\nWrote ${sizes.length} fixtures to ${fixturesDir}`);
+  printSizes(sizes);
 }
 
 main().catch((error) => {
diff --git a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.fixtures.test.ts b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.fixtures.test.ts
new file mode 100644
index 000000000..4c2b1b5ce
--- /dev/null
+++ b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.fixtures.test.ts
@@ -0,0 +1,92 @@
+import { beforeEach, describe, expect, it, vi } from 'vitest';
+
+import {
+  buildDataset,
+  makeCollectiveXDataset,
+} from '@semianalysisai/inferencex-db/collectivex/test-fixture';
+import { buildRunSummary } from '@semianalysisai/inferencex-db/collectivex/reader';
+
+const { mockLoadFixture } = vi.hoisted(() => ({
+  mockLoadFixture: vi.fn(),
+}));
+
+vi.mock('@semianalysisai/inferencex-db/connection', () => ({
+  FIXTURES_MODE: true,
+  getCollectiveXDb: vi.fn(),
+  getCollectiveXWriteDb: vi.fn(),
+}));
+
+vi.mock('@semianalysisai/inferencex-db/queries/collectivex', () => ({
+  collectiveXDatasetFromRow: vi.fn(),
+  deleteCollectiveXRun: vi.fn(),
+  getCollectiveXRun: vi.fn(),
+}));
+
+vi.mock('@/lib/collectivex-lazy-ingest', () => ({
+  collectiveXSweepErrorStatus: vi.fn(),
+  ensureCollectiveXRun: vi.fn(),
+}));
+
+vi.mock('@/lib/api-cache', () => ({
+  COLLECTIVEX_CACHE_CONTROL: 'public, max-age=0, s-maxage=60',
+  cachedJson: (data: unknown) => Response.json(data),
+  collectiveXCacheTag: () => 'collectivex',
+  purgeCollectiveX: vi.fn(),
+}));
+
+vi.mock('@/lib/test-fixtures', () => ({
+  loadFixture: mockLoadFixture,
+}));
+
+import { NextRequest } from 'next/server';
+
+import { GET } from './route';
+
+const latest = makeCollectiveXDataset();
+const comparison = buildDataset({ meta: { run_id: '159' } });
+const fixtureList = {
+  version: 1,
+  runs: [buildRunSummary(latest), buildRunSummary(comparison)],
+};
+
+function get(runId: string) {
+  return GET(new NextRequest(new URL(`/x?version=1`, 'http://localhost')), {
+    params: Promise.resolve({ runId }),
+  });
+}
+
+beforeEach(() => {
+  vi.clearAllMocks();
+  mockLoadFixture.mockImplementation((name: string) => {
+    if (name === 'collectivex-runs') return fixtureList;
+    if (name === 'collectivex-latest') return latest;
+    if (name === `collectivex-run-${comparison.run.run_id}`) return comparison;
+    throw new Error(`Unexpected fixture: ${name}`);
+  });
+});
+
+describe('GET /api/v1/collectivex/runs/[runId] in fixture mode', () => {
+  it('reuses the latest fixture when its run id was requested', async () => {
+    const response = await get(latest.run.run_id);
+
+    expect(response.status).toBe(200);
+    expect(await response.json()).toEqual(latest);
+    expect(mockLoadFixture).toHaveBeenCalledWith('collectivex-latest');
+  });
+
+  it('serves an older dataset from its run-id-keyed fixture', async () => {
+    const response = await get(comparison.run.run_id);
+
+    expect(response.status).toBe(200);
+    expect(await response.json()).toEqual(comparison);
+    expect(mockLoadFixture).toHaveBeenCalledWith(`collectivex-run-${comparison.run.run_id}`);
+  });
+
+  it('returns 404 instead of substituting the latest fixture for an unknown run', async () => {
+    const response = await get('999');
+
+    expect(response.status).toBe(404);
+    expect(mockLoadFixture).toHaveBeenCalledTimes(1);
+    expect(mockLoadFixture).toHaveBeenCalledWith('collectivex-runs');
+  });
+});
diff --git a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
index b99cdfe68..682f28295 100644
--- a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
+++ b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
@@ -2,7 +2,11 @@ import { timingSafeEqual } from 'crypto';
 
 import { type NextRequest, NextResponse } from 'next/server';
 
-import { parseCollectiveXVersion } from '@semianalysisai/inferencex-db/collectivex/types';
+import {
+  type CollectiveXDataset,
+  type CollectiveXRunSummary,
+  parseCollectiveXVersion,
+} from '@semianalysisai/inferencex-db/collectivex/types';
 import {
   FIXTURES_MODE,
   getCollectiveXDb,
@@ -34,7 +38,17 @@ export async function GET(request: NextRequest, context: { params: Promise<{ run
   if (!version || !RUN_ID.test(runId)) {
     return NextResponse.json({ error: 'Unknown version or run id' }, { status: 400 });
   }
-  if (FIXTURES_MODE) return cachedJson(loadFixture('collectivex-latest'));
+  if (FIXTURES_MODE) {
+    const fixtureList = loadFixture<{ version: number; runs: CollectiveXRunSummary[] }>(
+      'collectivex-runs',
+    );
+    if (fixtureList.version !== version || !fixtureList.runs.some((run) => run.run_id === runId)) {
+      return NextResponse.json({ error: 'Not found' }, { status: 404 });
+    }
+    const latest = loadFixture<CollectiveXDataset>('collectivex-latest');
+    if (latest.run.run_id === runId) return cachedJson(latest);
+    return cachedJson(loadFixture<CollectiveXDataset>(`collectivex-run-${runId}`));
+  }
 
   try {
     await ensureCollectiveXRun(version, runId);

From 0bf0ade78afa0c03da16a19aa294a19231ae63d3 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 29 Jul 2026 16:24:58 +0800
Subject: [PATCH 30/37] feat(collectivex): distinguish runs by line style

---
 docs/collectivex.md                           | 11 +++--
 packages/app/cypress/e2e/collectivex.cy.ts    | 25 ++++++++--
 .../collectivex/CollectiveXChart.tsx          |  6 ++-
 .../collectivex/CollectiveXDisplay.tsx        | 21 ++++++--
 .../collectivex/CollectiveXRunsTable.tsx      | 48 +++++++++++++-----
 .../src/components/collectivex/data.test.ts   | 32 ++++++++++--
 .../app/src/components/collectivex/data.ts    | 21 ++++++--
 .../app/src/components/collectivex/types.ts   |  3 +-
 .../src/components/ui/chart-legend-item.tsx   | 49 ++++++++++++++++---
 .../app/src/components/ui/chart-legend.tsx    |  2 +
 .../app/src/lib/d3-chart/layers/lines.test.ts | 22 +++++++++
 packages/app/src/lib/d3-chart/layers/lines.ts |  3 ++
 12 files changed, 202 insertions(+), 41 deletions(-)

diff --git a/docs/collectivex.md b/docs/collectivex.md
index 393cf1c87..4e976680f 100644
--- a/docs/collectivex.md
+++ b/docs/collectivex.md
@@ -66,11 +66,12 @@ visibility checkbox; checking a run fetches its cached dataset through
 `/api/v1/collectivex/runs/[runId]`. Checked datasets are combined client-side, and the EP, phase,
 kernel mode, precision, SKU, and backend controls filter their combined series.
 
-Series ids, labels, and color keys are namespaced by GitHub Actions run id before rendering, so the
-same matrix case from two runs remains independently toggleable and visually distinct. The newest
-run with measured cases is checked by default; newer incomplete sweeps remain listed but cannot
-blank the initial explorer. Deletion is a row action in the run table and keeps the same tombstone
-semantics described above.
+Series ids are namespaced by GitHub Actions run id so the same matrix case from two runs remains
+independently toggleable. Configuration color stays consistent across runs; run identity is encoded
+as a line dash pattern shown in both the run table and legend, keeping run ids out of legend labels.
+The newest run with measured cases is checked by default; newer incomplete sweeps remain listed but
+cannot blank the initial explorer. Deletion is a row action in the run table and keeps the same
+tombstone semantics described above.
 
 ## The raw-rows exception
 
diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index 3d7d66072..26890d7d1 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -187,13 +187,32 @@ describe('CollectiveX neutral run view', () => {
     );
     cy.get(`[data-testid="collectivex-run-visible-${runId}"]`).should('be.checked');
     cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
+    cy.get(`[data-testid="collectivex-run-line-style-${runId}"] line`).should(
+      'not.have.attr',
+      'stroke-dasharray',
+    );
+    cy.get(
+      `[data-testid="collectivex-run-line-style-${comparisonDataset.run.run_id}"] line`,
+    ).should('have.attr', 'stroke-dasharray', '9 4');
 
     cy.get(`[data-testid="collectivex-run-visible-${comparisonDataset.run.run_id}"]`).check();
     cy.wait('@comparisonRun');
-    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 2);
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path')
+      .should('have.length', 2)
+      .then(($lines) => {
+        expect($lines.eq(0)).to.have.attr('stroke-dasharray', 'none');
+        expect($lines.eq(1)).to.have.attr('stroke-dasharray', '9 4');
+        expect($lines.eq(0)).to.have.attr('stroke', $lines.eq(1).attr('stroke'));
+      });
     cy.get('[data-testid="chart-legend"]')
-      .should('contain.text', `#${runId}`)
-      .and('contain.text', `#${comparisonDataset.run.run_id}`);
+      .should('not.contain.text', `#${runId}`)
+      .and('not.contain.text', `#${comparisonDataset.run.run_id}`)
+      .find('[data-testid="legend-line-swatch"]')
+      .should('have.length', 2)
+      .then(($swatches) => {
+        expect($swatches.eq(0).find('line')).not.to.have.attr('stroke-dasharray');
+        expect($swatches.eq(1).find('line')).to.have.attr('stroke-dasharray', '9 4');
+      });
 
     cy.get(`[data-testid="collectivex-run-visible-${runId}"]`).uncheck();
     cy.get('[data-testid="collectivex-run-conclusion"]').should(
diff --git a/packages/app/src/components/collectivex/CollectiveXChart.tsx b/packages/app/src/components/collectivex/CollectiveXChart.tsx
index 462b6e29b..8c7f0a4fc 100644
--- a/packages/app/src/components/collectivex/CollectiveXChart.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXChart.tsx
@@ -5,7 +5,7 @@ import { useMemo } from 'react';
 
 import { D3Chart } from '@/lib/d3-chart/D3Chart';
 
-import { chartPoints, collectiveXColorKey, fitAlphaBeta } from './data';
+import { chartPoints, collectiveXColorKey, collectiveXRunDasharray, fitAlphaBeta } from './data';
 import type {
   CollectiveXChartPoint,
   CollectiveXOperation,
@@ -167,6 +167,10 @@ export function CollectiveXChart({
               const item = seriesById.get(key);
               return colors[item ? collectiveXColorKey(item) : ''] ?? '#888';
             },
+            getStrokeDasharray: (key) => {
+              const item = seriesById.get(key);
+              return item ? collectiveXRunDasharray(item.run_index) : 'none';
+            },
             strokeWidth: 2.25,
             curve: d3.curveLinear,
           },
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index ef01db512..cbcf7e6bd 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -29,8 +29,9 @@ import { CollectiveXInventory } from './CollectiveXInventory';
 import { CollectiveXRunsTable } from './CollectiveXRunsTable';
 import {
   collectiveXColorKey,
+  collectiveXLegendLabel,
+  collectiveXRunDasharray,
   collectiveXSeriesForRun,
-  collectiveXSeriesLabel,
   collectiveXTopologyLabel,
   seriesMatchesSelection,
   type CollectiveXSeriesSelection,
@@ -323,10 +324,20 @@ export default function CollectiveXDisplay() {
     () => runQueries.flatMap((query) => (query.data ? [query.data] : [])),
     [runQueries],
   );
+  const runIndexById = useMemo(
+    () => new Map(runList.map((run, index) => [run.run_id, index])),
+    [runList],
+  );
   const combinedSeries = useMemo<CollectiveXRunSeries[]>(
     () =>
-      datasets.flatMap((dataset) => collectiveXSeriesForRun(dataset.series, dataset.run.run_id)),
-    [datasets],
+      datasets.flatMap((dataset) =>
+        collectiveXSeriesForRun(
+          dataset.series,
+          dataset.run.run_id,
+          runIndexById.get(dataset.run.run_id) ?? 0,
+        ),
+      ),
+    [datasets, runIndexById],
   );
   const loadingRunIds = useMemo(
     () =>
@@ -532,8 +543,9 @@ export default function CollectiveXDisplay() {
     () =>
       phaseSeries.map((item) => ({
         name: item.series_id,
-        label: collectiveXSeriesLabel(item),
+        label: collectiveXLegendLabel(item),
         color: colors[collectiveXColorKey(item)] ?? 'var(--muted-foreground)',
+        lineDasharray: collectiveXRunDasharray(item.run_index),
         isActive: activeSeriesIds.has(item.series_id),
         title: `EP${item.system.ep_size} · ${collectiveXTopologyLabel(item.system)}`,
         onClick: () => {
@@ -727,6 +739,7 @@ export default function CollectiveXDisplay() {
         </div>
         <CollectiveXRunsTable
           runs={runList}
+          runIndexById={runIndexById}
           visibleRunIds={visibleRunIds}
           loadingRunIds={loadingRunIds}
           deletingRunId={deleteRun.isPending ? (deleteRun.variables?.runId ?? null) : null}
diff --git a/packages/app/src/components/collectivex/CollectiveXRunsTable.tsx b/packages/app/src/components/collectivex/CollectiveXRunsTable.tsx
index a1cc0cc2d..bade8b98a 100644
--- a/packages/app/src/components/collectivex/CollectiveXRunsTable.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXRunsTable.tsx
@@ -7,10 +7,12 @@ import { track } from '@/lib/analytics';
 import { useLocale } from '@/lib/use-locale';
 import { cn } from '@/lib/utils';
 
+import { collectiveXRunDasharray } from './data';
 import type { CollectiveXRunSummary } from './types';
 
 interface CollectiveXRunsTableProps {
   runs: CollectiveXRunSummary[];
+  runIndexById: ReadonlyMap<string, number>;
   visibleRunIds: ReadonlySet<string>;
   loadingRunIds: ReadonlySet<string>;
   deletingRunId: string | null;
@@ -30,6 +32,7 @@ const STRINGS = {
     actions: 'Actions',
     pending: 'pending',
     showRun: (id: string) => `Show run #${id}`,
+    lineStyle: (id: string) => `Line style for run #${id}`,
     openRun: (id: string) => `Open GitHub Actions run #${id}`,
     deleteRun: (id: string) => `Delete run #${id}`,
     empty: 'No runs match this benchmark version.',
@@ -46,6 +49,7 @@ const STRINGS = {
     actions: 'Actions',
     pending: 'pending',
     showRun: (id: string) => `Show run #${id}`,
+    lineStyle: (id: string) => `Line style for run #${id}`,
     openRun: (id: string) => `Open GitHub Actions run #${id}`,
     deleteRun: (id: string) => `Delete run #${id}`,
     empty: 'No runs match this benchmark version.',
@@ -69,6 +73,7 @@ function formatDate(value: string, locale: 'en' | 'zh'): string {
 
 export function CollectiveXRunsTable({
   runs,
+  runIndexById,
   visibleRunIds,
   loadingRunIds,
   deletingRunId,
@@ -106,6 +111,7 @@ export function CollectiveXRunsTable({
             const loading = loadingRunIds.has(run.run_id);
             const deleting = deletingRunId === run.run_id;
             const conclusion = run.conclusion ?? t.pending;
+            const lineDasharray = collectiveXRunDasharray(runIndexById.get(run.run_id) ?? 0);
             return (
               <tr
                 key={run.run_id}
@@ -136,17 +142,37 @@ export function CollectiveXRunsTable({
                   </div>
                 </td>
                 <td className="px-3 py-2 font-mono text-xs">
-                  <a
-                    href={`https://github.com/SemiAnalysisAI/InferenceX/actions/runs/${run.run_id}`}
-                    target="_blank"
-                    rel="noopener noreferrer"
-                    aria-label={t.openRun(run.run_id)}
-                    onClick={() => track('collectivex_run_source_opened', { run: run.run_id })}
-                    className="inline-flex items-center gap-1 hover:underline"
-                  >
-                    #{run.run_id}
-                    <ExternalLink className="size-3" />
-                  </a>
+                  <div className="flex items-center gap-2">
+                    <svg
+                      width="24"
+                      height="10"
+                      viewBox="0 0 24 10"
+                      aria-label={t.lineStyle(run.run_id)}
+                      data-testid={`collectivex-run-line-style-${run.run_id}`}
+                      className="shrink-0 text-foreground"
+                    >
+                      <line
+                        x1="1"
+                        y1="5"
+                        x2="23"
+                        y2="5"
+                        stroke="currentColor"
+                        strokeWidth="2"
+                        strokeDasharray={lineDasharray === 'none' ? undefined : lineDasharray}
+                      />
+                    </svg>
+                    <a
+                      href={`https://github.com/SemiAnalysisAI/InferenceX/actions/runs/${run.run_id}`}
+                      target="_blank"
+                      rel="noopener noreferrer"
+                      aria-label={t.openRun(run.run_id)}
+                      onClick={() => track('collectivex_run_source_opened', { run: run.run_id })}
+                      className="inline-flex items-center gap-1 hover:underline"
+                    >
+                      #{run.run_id}
+                      <ExternalLink className="size-3" />
+                    </a>
+                  </div>
                 </td>
                 <td className="px-3 py-2">
                   <span
diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
index 1e5ea7cba..a64a2507e 100644
--- a/packages/app/src/components/collectivex/data.test.ts
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -3,6 +3,8 @@ import { describe, expect, it } from 'vitest';
 import {
   chartPoints,
   collectiveXColorKey,
+  collectiveXLegendLabel,
+  collectiveXRunDasharray,
   collectiveXSeriesForRun,
   collectiveXSeriesLabel,
   collectiveXTopologyLabel,
@@ -56,6 +58,13 @@ describe('collectiveXSeriesLabel', () => {
       '#30165164821 · H200-DGXC · deepep-v2 · EP8 · normal · decode · bf16',
     );
   });
+
+  it('keeps run ids out of the configuration label used by the legend', () => {
+    const [runSeries] = collectiveXSeriesForRun([scaleUp], '30165164821');
+    expect(collectiveXLegendLabel(runSeries)).toBe(
+      'H200-DGXC · deepep-v2 · EP8 · normal · decode · bf16',
+    );
+  });
 });
 
 describe('collectiveXColorKey', () => {
@@ -92,26 +101,41 @@ describe('collectiveXColorKey', () => {
     expect(collectiveXColorKey(amd).split('_')[0]).toBe('amd');
   });
 
-  it('assigns distinct keys to the same configuration from different runs', () => {
+  it('keeps the same configuration color across different runs', () => {
     const [first] = collectiveXSeriesForRun([scaleUp], '30165164821');
     const [second] = collectiveXSeriesForRun([scaleUp], '30177021271');
-    expect(collectiveXColorKey(first)).not.toBe(collectiveXColorKey(second));
+    expect(collectiveXColorKey(first)).toBe(collectiveXColorKey(second));
   });
 });
 
 describe('collectiveXSeriesForRun', () => {
   it('namespaces otherwise-colliding series ids without mutating the source', () => {
     const originalId = scaleUp.series_id;
-    const [first] = collectiveXSeriesForRun([scaleUp], '30165164821');
-    const [second] = collectiveXSeriesForRun([scaleUp], '30177021271');
+    const [first] = collectiveXSeriesForRun([scaleUp], '30165164821', 2);
+    const [second] = collectiveXSeriesForRun([scaleUp], '30177021271', 3);
 
     expect(first.series_id).toBe(`30165164821:${originalId}`);
     expect(first.run_id).toBe('30165164821');
+    expect(first.run_index).toBe(2);
     expect(second.series_id).toBe(`30177021271:${originalId}`);
+    expect(second.run_index).toBe(3);
     expect(scaleUp.series_id).toBe(originalId);
   });
 });
 
+describe('collectiveXRunDasharray', () => {
+  it('uses a solid line for the newest run and distinct patterns for following runs', () => {
+    expect(collectiveXRunDasharray(0)).toBe('none');
+    expect(collectiveXRunDasharray(1)).toBe('9 4');
+    expect(collectiveXRunDasharray(2)).toBe('3 3');
+  });
+
+  it('normalizes invalid negative and fractional indexes', () => {
+    expect(collectiveXRunDasharray(-1)).toBe('none');
+    expect(collectiveXRunDasharray(1.9)).toBe('9 4');
+  });
+});
+
 describe('seriesMatchesSelection', () => {
   const base: CollectiveXSeriesSelection = {
     epSize: 8,
diff --git a/packages/app/src/components/collectivex/data.ts b/packages/app/src/components/collectivex/data.ts
index cebe2fea6..acd18b9d8 100644
--- a/packages/app/src/components/collectivex/data.ts
+++ b/packages/app/src/components/collectivex/data.ts
@@ -19,6 +19,14 @@ export interface CollectiveXSeriesSelection {
   precision: CollectiveXPrecision;
 }
 
+const RUN_DASHARRAYS = ['none', '9 4', '3 3', '10 3 2 3', '2 3', '12 3 2 3'] as const;
+
+/** Stable within the newest-first run table; patterns repeat only after six runs. */
+export function collectiveXRunDasharray(runIndex: number): string {
+  const normalized = Math.max(0, Math.trunc(runIndex)) % RUN_DASHARRAYS.length;
+  return RUN_DASHARRAYS[normalized];
+}
+
 export function collectiveXTopologyLabel(
   system: Pick<
     CollectiveXSeries['system'],
@@ -36,25 +44,30 @@ export function collectiveXTopologyLabel(
   return `${system.nodes}x${system.gpus_per_node} · domain ${system.scale_up_domain} · ${transports} · ${system.topology_class}`;
 }
 
+export function collectiveXLegendLabel(series: CollectiveXSeries): string {
+  return `${series.system.sku.toUpperCase()} · ${series.backend} · EP${series.system.ep_size} · ${series.mode} · ${series.phase} · ${series.precision}`;
+}
+
 export function collectiveXSeriesLabel(series: CollectiveXSeries | CollectiveXRunSeries): string {
   const runPrefix = 'run_id' in series ? `#${series.run_id} · ` : '';
-  return `${runPrefix}${series.system.sku.toUpperCase()} · ${series.backend} · EP${series.system.ep_size} · ${series.mode} · ${series.phase} · ${series.precision}`;
+  return `${runPrefix}${collectiveXLegendLabel(series)}`;
 }
 
 export function collectiveXColorKey(series: CollectiveXSeries | CollectiveXRunSeries): string {
-  const runSuffix = 'run_id' in series ? `_run${series.run_id}` : '';
-  return `${series.system.vendor}_${series.system.sku}_${series.backend}_ep${series.system.ep_size}_${series.mode}_${series.phase}_${series.precision}${runSuffix}`;
+  return `${series.system.vendor}_${series.system.sku}_${series.backend}_ep${series.system.ep_size}_${series.mode}_${series.phase}_${series.precision}`;
 }
 
-/** Namespace series ids and color/label identity so runs can render together safely. */
+/** Namespace series ids and attach the run's stable visual-style index. */
 export function collectiveXSeriesForRun(
   series: readonly CollectiveXSeries[],
   runId: string,
+  runIndex = 0,
 ): CollectiveXRunSeries[] {
   return series.map((item) => ({
     ...item,
     series_id: `${runId}:${item.series_id}`,
     run_id: runId,
+    run_index: runIndex,
   }));
 }
 
diff --git a/packages/app/src/components/collectivex/types.ts b/packages/app/src/components/collectivex/types.ts
index 669c5e6a8..13a144238 100644
--- a/packages/app/src/components/collectivex/types.ts
+++ b/packages/app/src/components/collectivex/types.ts
@@ -53,7 +53,8 @@ export interface CollectiveXChartPoint {
   point: CollectiveXPoint;
 }
 
-/** A stored run's series namespaced for simultaneous multi-run rendering. */
+/** A stored run's series with namespaced identity and visual-style index. */
 export type CollectiveXRunSeries = CollectiveXSeries & {
   run_id: string;
+  run_index: number;
 };
diff --git a/packages/app/src/components/ui/chart-legend-item.tsx b/packages/app/src/components/ui/chart-legend-item.tsx
index a3d10b310..411c2565b 100644
--- a/packages/app/src/components/ui/chart-legend-item.tsx
+++ b/packages/app/src/components/ui/chart-legend-item.tsx
@@ -22,6 +22,8 @@ export interface CommonLegendItemProps {
   hw?: string;
   label: string;
   color: string;
+  /** When present, render a line swatch using this SVG dash pattern instead of a dot. */
+  lineDasharray?: string;
   isActive: boolean;
   isHighlighted?: boolean;
   onClick: (name: string) => void;
@@ -47,6 +49,7 @@ const ChartLegendItem: React.FC<CommonLegendItemProps> = ({
   name,
   label,
   color,
+  lineDasharray,
   title,
   isActive,
   onClick,
@@ -92,14 +95,44 @@ const ChartLegendItem: React.FC<CommonLegendItemProps> = ({
         onMouseEnter={onHover && isActive ? () => onHover(hw || name) : undefined}
         onMouseLeave={onHoverEnd && isActive ? onHoverEnd : undefined}
       >
-        <span className="relative inline-flex items-center justify-center size-3 mr-2 flex-shrink-0">
-          <span
-            className={cn(
-              'size-3 rounded-full transition-opacity',
-              (canRemove || canRestore) && 'group-hover/item:opacity-0!',
-            )}
-            style={{ backgroundColor: color, opacity: sidebarMode && !isActive ? 0.3 : 1 }}
-          />
+        <span
+          className={cn(
+            'relative inline-flex h-3 items-center justify-center mr-2 flex-shrink-0',
+            lineDasharray === undefined ? 'w-3' : 'w-6',
+          )}
+        >
+          {lineDasharray === undefined ? (
+            <span
+              className={cn(
+                'size-3 rounded-full transition-opacity',
+                (canRemove || canRestore) && 'group-hover/item:opacity-0!',
+              )}
+              style={{ backgroundColor: color, opacity: sidebarMode && !isActive ? 0.3 : 1 }}
+            />
+          ) : (
+            <svg
+              width="24"
+              height="12"
+              viewBox="0 0 24 12"
+              data-testid="legend-line-swatch"
+              className={cn(
+                'transition-opacity',
+                (canRemove || canRestore) && 'group-hover/item:opacity-0!',
+              )}
+              style={{ opacity: sidebarMode && !isActive ? 0.3 : 1 }}
+              aria-hidden="true"
+            >
+              <line
+                x1="1"
+                y1="6"
+                x2="23"
+                y2="6"
+                stroke={color}
+                strokeWidth="2.25"
+                strokeDasharray={lineDasharray === 'none' ? undefined : lineDasharray}
+              />
+            </svg>
+          )}
           {canRemove && (
             <span
               role="button"
diff --git a/packages/app/src/components/ui/chart-legend.tsx b/packages/app/src/components/ui/chart-legend.tsx
index 957643b3d..2fa3261c7 100644
--- a/packages/app/src/components/ui/chart-legend.tsx
+++ b/packages/app/src/components/ui/chart-legend.tsx
@@ -455,6 +455,7 @@ export default function ChartLegend({
         name={item.name}
         label={item.label}
         color={item.color}
+        lineDasharray={item.lineDasharray}
         title={item.title}
         isHighlighted={item.isHighlighted}
         hw={item.hw}
@@ -555,6 +556,7 @@ export default function ChartLegend({
                         hw={item.hw}
                         label={item.label}
                         color={item.color}
+                        lineDasharray={item.lineDasharray}
                         title={item.title}
                         isActive={item.isActive}
                         onClick={item.onClick}
diff --git a/packages/app/src/lib/d3-chart/layers/lines.test.ts b/packages/app/src/lib/d3-chart/layers/lines.test.ts
index 6631bcc89..894e9d5f3 100644
--- a/packages/app/src/lib/d3-chart/layers/lines.test.ts
+++ b/packages/app/src/lib/d3-chart/layers/lines.test.ts
@@ -86,6 +86,28 @@ describe('renderLines', () => {
     expect(strokeByClass['line-path line-seriesB']).toBe('#0f0');
   });
 
+  it('sets a per-series stroke dash pattern when configured', () => {
+    const group = createMockGroup();
+    const { xScale, yScale } = makeScales();
+    renderLines(
+      group as any,
+      SAMPLE_LINES,
+      xScale,
+      yScale,
+      makeConfig({
+        getStrokeDasharray: (key) => (key === 'seriesA' ? 'none' : '9 4'),
+      }),
+    );
+
+    const paths = group.selectAll('.line-path');
+    const dashByClass: Record<string, string | number> = {};
+    for (const el of paths.elements) {
+      dashByClass[el.attrs['class'] as string] = el.attrs['stroke-dasharray'];
+    }
+    expect(dashByClass['line-path line-seriesA']).toBe('none');
+    expect(dashByClass['line-path line-seriesB']).toBe('9 4');
+  });
+
   it('uses default strokeWidth of 2 when not specified', () => {
     const group = createMockGroup();
     const { xScale, yScale } = makeScales();
diff --git a/packages/app/src/lib/d3-chart/layers/lines.ts b/packages/app/src/lib/d3-chart/layers/lines.ts
index 79c394e9c..075a1be71 100644
--- a/packages/app/src/lib/d3-chart/layers/lines.ts
+++ b/packages/app/src/lib/d3-chart/layers/lines.ts
@@ -6,6 +6,8 @@ type AnyXScale = ContinuousScale | d3.ScaleTime<number, number>;
 
 export interface LineConfig {
   getColor: (key: string) => string;
+  /** Optional per-series SVG dash pattern; return `none` for a solid line. */
+  getStrokeDasharray?: (key: string) => string;
   strokeWidth?: number;
   curve?: d3.CurveFactory;
   /** Return false to create gaps in the line (e.g., missing data points). */
@@ -58,6 +60,7 @@ export function renderLines(
     .merge(selection)
     .attr('class', (d) => `line-path line-${d.key}`)
     .attr('stroke', (d) => config.getColor(d.key))
+    .attr('stroke-dasharray', (d) => config.getStrokeDasharray?.(d.key) ?? null)
     .attr('stroke-width', config.strokeWidth ?? 2)
     .attr('d', (d) => lineGenerator(d.points));
 }

From 761c00655532286d93580d198f2259f644b1f3c2 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 29 Jul 2026 16:39:36 +0800
Subject: [PATCH 31/37] style(collectivex): compact runs table

---
 packages/app/cypress/e2e/collectivex.cy.ts    |  1 +
 .../collectivex/CollectiveXRunsTable.tsx      | 34 +++++++++----------
 2 files changed, 18 insertions(+), 17 deletions(-)

diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index 26890d7d1..b248b816a 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -62,6 +62,7 @@ describe('CollectiveX neutral run view', () => {
       .should('contain.text', `${dataset.run.measured_cases}/${dataset.run.requested_cases}`)
       .and('contain.text', String(dataset.series.length));
     cy.get('[data-testid="collectivex-version-select"]').should('contain.text', 'V1');
+    cy.get('[data-testid="collectivex-runs-table"]').should('have.css', 'max-height', '448px');
     cy.get('[data-testid="collectivex-source-link"]').should(
       'have.attr',
       'href',
diff --git a/packages/app/src/components/collectivex/CollectiveXRunsTable.tsx b/packages/app/src/components/collectivex/CollectiveXRunsTable.tsx
index bade8b98a..b78e3443b 100644
--- a/packages/app/src/components/collectivex/CollectiveXRunsTable.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXRunsTable.tsx
@@ -90,19 +90,19 @@ export function CollectiveXRunsTable({
   return (
     <div
       data-testid="collectivex-runs-table"
-      className="mt-3 max-h-[32rem] overflow-auto rounded-md border"
+      className="mt-2 max-h-[28rem] overflow-auto rounded-md border"
     >
       <table className="w-full min-w-[880px] text-sm">
         <thead className="sticky top-0 z-1 bg-background">
           <tr className="border-b-2 border-border text-left text-muted-foreground">
-            <th className="px-3 py-2 font-medium">{t.shown}</th>
-            <th className="px-3 py-2 font-medium">{t.run}</th>
-            <th className="px-3 py-2 font-medium">{t.result}</th>
-            <th className="px-3 py-2 text-right font-medium">{t.cases}</th>
-            <th className="px-3 py-2 text-right font-medium">{t.points}</th>
-            <th className="px-3 py-2 font-medium">{t.skus}</th>
-            <th className="px-3 py-2 font-medium">{t.published}</th>
-            <th className="px-3 py-2 text-right font-medium">{t.actions}</th>
+            <th className="px-3 py-1.5 font-medium">{t.shown}</th>
+            <th className="px-3 py-1.5 font-medium">{t.run}</th>
+            <th className="px-3 py-1.5 font-medium">{t.result}</th>
+            <th className="px-3 py-1.5 text-right font-medium">{t.cases}</th>
+            <th className="px-3 py-1.5 text-right font-medium">{t.points}</th>
+            <th className="px-3 py-1.5 font-medium">{t.skus}</th>
+            <th className="px-3 py-1.5 font-medium">{t.published}</th>
+            <th className="px-3 py-1.5 text-right font-medium">{t.actions}</th>
           </tr>
         </thead>
         <tbody>
@@ -121,7 +121,7 @@ export function CollectiveXRunsTable({
                   visible && 'bg-primary/5',
                 )}
               >
-                <td className="px-3 py-2">
+                <td className="px-3 py-1.5">
                   <div className="flex items-center gap-2">
                     <input
                       type="checkbox"
@@ -141,7 +141,7 @@ export function CollectiveXRunsTable({
                     {loading && <Loader2 className="size-3.5 animate-spin text-muted-foreground" />}
                   </div>
                 </td>
-                <td className="px-3 py-2 font-mono text-xs">
+                <td className="px-3 py-1.5 font-mono text-xs">
                   <div className="flex items-center gap-2">
                     <svg
                       width="24"
@@ -174,7 +174,7 @@ export function CollectiveXRunsTable({
                     </a>
                   </div>
                 </td>
-                <td className="px-3 py-2">
+                <td className="px-3 py-1.5">
                   <span
                     className={cn(
                       'inline-flex rounded-md border px-2 py-0.5 text-[11px] font-medium',
@@ -184,21 +184,21 @@ export function CollectiveXRunsTable({
                     {conclusion}
                   </span>
                 </td>
-                <td className="px-3 py-2 text-right tabular-nums">
+                <td className="px-3 py-1.5 text-right tabular-nums">
                   {run.measured_cases}/{run.requested_cases}
                 </td>
-                <td className="px-3 py-2 text-right tabular-nums">
+                <td className="px-3 py-1.5 text-right tabular-nums">
                   {run.terminal_points}/{run.requested_points}
                 </td>
-                <td className="px-3 py-2">
+                <td className="px-3 py-1.5">
                   {run.covered_skus.length > 0
                     ? run.covered_skus.map((sku) => sku.toUpperCase()).join(', ')
                     : '—'}
                 </td>
-                <td className="whitespace-nowrap px-3 py-2 text-xs text-muted-foreground">
+                <td className="whitespace-nowrap px-3 py-1.5 text-xs text-muted-foreground">
                   {formatDate(run.generated_at, locale)}
                 </td>
-                <td className="px-3 py-2 text-right">
+                <td className="px-3 py-1.5 text-right">
                   <Button
                     type="button"
                     variant="ghost"

From 7c7a40d35a07251d612656ce9856c65b95135a1a Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 29 Jul 2026 19:07:06 +0800
Subject: [PATCH 32/37] fix(collectivex): complete run discovery and trim
 support code

---
 .agents/skills/neon-postgres/SKILL.md         |  376 ------
 .../neon-postgres/references/neon-sdk.md      |  265 ----
 .agents/skills/neon/SKILL.md                  |  377 +-----
 .prettierignore                               |    1 +
 bun.lock                                      |    4 -
 docs/collectivex.md                           |   33 +-
 packages/app/cypress/e2e/collectivex.cy.ts    |   26 +-
 .../fixtures/api/collectivex-run-159.json     | 1088 +----------------
 .../fixtures/api/collectivex-runs.json        |   45 +-
 packages/app/package.json                     |    4 +-
 .../app/scripts/capture-cypress-fixtures.ts   |    9 +-
 .../v1/collectivex/runs/[runId]/route.test.ts |   11 +
 .../api/v1/collectivex/runs/[runId]/route.ts  |   23 +-
 .../app/api/v1/collectivex/runs/route.test.ts |   38 +-
 .../src/app/api/v1/collectivex/runs/route.ts  |   12 +-
 .../collectivex/CollectiveXDisplay.tsx        |   53 +-
 .../src/components/collectivex/data.test.ts   |    6 +
 .../app/src/components/collectivex/data.ts    |   20 +-
 packages/app/src/hooks/api/use-collectivex.ts |   42 +-
 packages/app/src/lib/api.test.ts              |   23 +-
 packages/app/src/lib/api.ts                   |   19 +-
 .../src/lib/collectivex-lazy-ingest.test.ts   |   79 +-
 .../app/src/lib/collectivex-lazy-ingest.ts    |  109 +-
 .../db/src/collectivex/artifact-selection.ts  |    6 +-
 packages/db/src/collectivex/test-fixture.ts   |    2 +-
 packages/db/src/ingest-collectivex.ts         |    6 +-
 packages/db/src/migrate-collectivex.ts        |    2 +-
 packages/db/src/queries/collectivex.ts        |    4 +-
 28 files changed, 406 insertions(+), 2277 deletions(-)
 delete mode 100644 .agents/skills/neon-postgres/SKILL.md
 delete mode 100644 .agents/skills/neon-postgres/references/neon-sdk.md

diff --git a/.agents/skills/neon-postgres/SKILL.md b/.agents/skills/neon-postgres/SKILL.md
deleted file mode 100644
index bac7910c7..000000000
--- a/.agents/skills/neon-postgres/SKILL.md
+++ /dev/null
@@ -1,376 +0,0 @@
----
-name: neon-postgres
-description: >-
-  Guides and best practices for working with Neon Serverless Postgres.
-  Covers setup, connection methods, branching, autoscaling, scale-to-zero,
-  read replicas, connection pooling, Neon Auth, and the Neon CLI, MCP server,
-  REST API, TypeScript SDK, and Python SDK.
-  Use when users ask about "Neon setup", "connect to Neon", "Neon project",
-  "DATABASE_URL", "serverless Postgres", "Neon CLI", "neon", "Neon MCP",
-  "Neon Auth", "@neondatabase/serverless", "@neondatabase/neon-js",
-  "scale to zero", "Neon autoscaling", "Neon read replica", or
-  "Neon connection pooling".
----
-
-# Neon Serverless Postgres
-
-Guide the user through any Neon-related task: setup, connections, branching, and advanced features. Deliver a working Neon connection, a completed feature configuration, or a specific answer from the official Neon docs.
-
-Neon is a serverless Postgres platform that separates compute and storage to offer autoscaling, branching, instant restore, and scale-to-zero. It's fully compatible with Postgres and works with any language, framework, or ORM that supports Postgres.
-
-## Neon Documentation
-
-The Neon documentation is the source of truth for all Neon-related information. Always verify claims against the official docs before responding. Neon features and APIs evolve, so prefer fetching current docs over relying on training data.
-
-### Fetching Docs as Markdown
-
-Any Neon doc page can be fetched as markdown in two ways:
-
-1. **Append `.md` to the URL** (simplest): https://neon.com/docs/introduction/branching.md
-2. **Request `text/markdown`** on the standard URL: `curl -H "Accept: text/markdown" https://neon.com/docs/introduction/branching`
-
-Both return the same markdown content. Use whichever method your tools support.
-
-### Finding the Right Page
-
-The docs index lists every available page with its URL and a short description:
-
-```
-https://neon.com/docs/llms.txt
-```
-
-Common doc URLs are organized in the topic links below. If you need a page not listed here, search the docs index: https://neon.com/docs/llms.txt. Don't guess URLs.
-
-## What Is Neon
-
-Use this for architecture explanations and terminology (organizations, projects, branches, endpoints) before giving implementation advice.
-
-Link: https://neon.com/docs/introduction/architecture-overview.md
-
-## Getting Started
-
-Use this section when guiding a user through first-time Neon setup.
-
-### Check Status Quo
-
-Before starting setup, inspect the user's codebase and environment:
-
-- Existing database connection code
-- Existing Neon MCP server or Neon CLI configuration
-- Existence of a `.env` file and `DATABASE_URL` environment variable
-- Existing ORM (Prisma, Drizzle, TypeORM) configuration
-
-### Self-Driving Setup With Neon's CLI or MCP Server
-
-Offer to inspect existing connected Neon projects or create new ones using the Neon CLI or MCP server. If neither is set up yet, run init with the `--agent` flag. Use `npx -y` to skip the package install prompt. Auth is handled automatically. If the user is not logged in, it opens their browser for OAuth and waits for completion before proceeding.
-
-```bash
-npx -y neon@latest init --agent <agent-name>
-```
-
-Supported `--agent` values: `cursor`, `copilot`, `claude`, `claude-desktop`, `codex`, `opencode`, `cline`, `gemini-cli`, `goose`, `zed`.
-
-This installs the Neon extension (for Cursor/VS Code) or MCP server (for other agents), creates an API key, and adds the `neon-postgres` agent skill to the project.
-
-If `init` is not suitable, the individual steps can be run non-interactively:
-
-- **Extension:** `cursor --install-extension databricks.neon-local-connect`
-- **MCP server:** `npx -y add-mcp https://mcp.neon.tech/mcp -g -n Neon -y -a <agent-name>`
-- **Agent skill:** `npx skills add neondatabase/agent-skills --skill neon-postgres --agent <agent-name> -y`
-
-For full CLI installation options, see https://neon.com/docs/cli/install.md
-
-### Setup Flow
-
-**1. Select Organization and Project**
-
-Use MCP server or CLI to list organizations and projects. Let the user select an existing project or create a new one.
-
-**2. Get Connection String**
-
-Use MCP server or CLI to get the connection string. Store it in `.env` as `DATABASE_URL`. Read the file first before modifying to avoid overwriting existing values.
-
-**3. Pick Connection Method & Driver**
-
-Refer to the connection methods guide to pick the correct driver based on deployment platform: https://neon.com/docs/connect/choose-connection.md
-
-**4. User Authentication with Neon Auth (if needed)**
-
-Skip for CLI tools, scripts, or apps without user accounts. If the app needs auth: use MCP server `provision_neon_auth` tool, then see the auth overview (https://neon.com/docs/auth/overview.md) for setup. For auth + database queries, see the JavaScript SDK reference (https://neon.com/docs/reference/javascript-sdk.md).
-
-**5. ORM Setup (optional)**
-
-Check for existing ORM (Prisma, Drizzle, TypeORM). If none, ask if they want one. For Drizzle integration, see https://neon.com/docs/guides/drizzle.md.
-
-**6. Schema Setup**
-
-- Check for existing migration files or ORM schemas
-- If none: offer to create an example schema or design one together
-
-### Resume Support
-
-If resuming setup, check what's already configured (MCP connection, `.env` with `DATABASE_URL`, dependencies, schema) and continue from the next incomplete step.
-
-### Security Reminders
-
-Remind users to use environment variables for credentials, never commit connection strings, and use least-privilege database roles.
-
-## Connection Methods & Drivers
-
-Use this when you need to pick the correct transport and driver based on runtime constraints (TCP, HTTP, WebSocket, edge, serverless, long-running).
-
-Link: https://neon.com/docs/connect/choose-connection.md
-
-### Recommended: Drizzle + the right driver for your runtime
-
-Always pair Neon with an ORM such as **Drizzle** for easy schema management and migrations. Pick the driver based on how the runtime treats your code:
-
-- **Long-running or shared-runtime environments → node-postgres (`pg`).** Neon Functions, and any host where the function runtime is shared across requests / runs on fluid compute (e.g. **Vercel** with Fluid compute), keep a module-scope process alive across many requests. Open a `pg` pool **once at module scope** and reuse it across requests.
-- **Fully isolated serverless (Lambda-style) → Neon's serverless driver (`@neondatabase/serverless`).** Hosts like **Netlify** spin up a fresh, isolated instance per request, so a persistent TCP pool can't be reused; the serverless driver queries over HTTP and is built for this.
-
-**Neon Functions / Vercel / fluid compute — Drizzle + node-postgres:**
-
-```typescript
-import { drizzle } from 'drizzle-orm/node-postgres';
-import { Pool } from 'pg';
-import * as schema from './schema';
-
-// Created once at module scope; reused by every request the instance handles.
-const pool = new Pool({ connectionString: process.env.DATABASE_URL, max: 5 });
-const db = drizzle({ client: pool, schema });
-```
-
-On **Vercel** (Fluid compute) also attach the pool with `attachDatabasePool` from `@vercel/functions`, so the function runtime drains idle connections before an instance suspends:
-
-```typescript
-import { drizzle } from 'drizzle-orm/node-postgres';
-import { Pool } from 'pg';
-import { attachDatabasePool } from '@vercel/functions';
-import * as schema from './schema';
-
-const pool = new Pool({ connectionString: process.env.DATABASE_URL });
-attachDatabasePool(pool); // let the Vercel runtime manage the pooled connections
-const db = drizzle({ client: pool, schema });
-```
-
-**Netlify and other fully-isolated serverless — Drizzle + Neon serverless driver:**
-
-```typescript
-import { drizzle } from 'drizzle-orm/neon-http';
-import { neon } from '@neondatabase/serverless';
-
-const sql = neon(process.env.DATABASE_URL!);
-const db = drizzle({ client: sql });
-```
-
-### Serverless Driver
-
-Use this for `@neondatabase/serverless` patterns, including HTTP queries, WebSocket transactions, and runtime-specific optimizations.
-
-Link: https://neon.com/docs/serverless/serverless-driver.md
-
-### Neon JS SDK
-
-Use this for combined Neon Auth + Data API workflows with PostgREST-style querying and typed client setup.
-
-Link: https://neon.com/docs/reference/javascript-sdk.md
-
-## Developer Tools
-
-Use this for local development enablement with `npx -y neon@latest init --agent <agent-name>`, VSCode extension setup, and Neon MCP server configuration.
-
-| Tool             | URL                                             |
-| ---------------- | ----------------------------------------------- |
-| CLI Init Command | https://neon.com/docs/cli/init.md               |
-| VSCode Extension | https://neon.com/docs/local/vscode-extension.md |
-| MCP Server       | https://neon.com/docs/ai/neon-mcp-server.md     |
-| Neon CLI         | https://neon.com/docs/cli.md                    |
-
-### Neon CLI
-
-Use this for terminal-first workflows, scripts, and CI/CD automation with `neon`.
-
-Link: https://neon.com/docs/cli.md
-
-## Neon Admin API
-
-The Neon Admin API can be used to manage Neon resources programmatically. It is used behind the scenes by the Neon CLI and MCP server, but can also be used directly for more complex automation workflows or when embedding Neon in other applications.
-
-### Neon REST API
-
-Use this for direct HTTP automation, endpoint-level control, API key auth, rate-limit handling, and operation polling.
-
-Link: https://neon.com/docs/reference/api-reference.md
-
-### Neon TypeScript SDK
-
-Use this when implementing typed programmatic control of Neon resources in TypeScript via `@neon/sdk` (the fetch-based, zero-dependency successor to `@neondatabase/api-client`). For the full API surface — client config, the `{ data, error }` result model, typed errors, readiness/workflow helpers (`createAndConnect`, `createWithCompute`), pagination, every resource namespace, and the raw layer — see [references/neon-sdk.md](https://neon.com/docs/ai/skills/neon-postgres/references/neon-sdk.md).
-
-Link: https://neon.com/docs/reference/typescript-sdk.md
-
-### Neon Python SDK
-
-Use this when implementing programmatic Neon management in Python with the `neon-api` package.
-
-Link: https://neon.com/docs/reference/python-sdk.md
-
-## Neon Auth
-
-Use this for managed user authentication setup, UI components, auth methods, and Neon Auth integration pitfalls in Next.js and React apps.
-
-Link: https://neon.com/docs/auth/overview.md
-
-Neon Auth is also embedded in the Neon JS SDK. Depending on your use case, you may want to use the Neon JS SDK instead of Neon Auth alone. See https://neon.com/docs/connect/choose-connection.md for more details.
-
-## Neon Infrastructure as Code (`neon.ts`)
-
-`neon.ts` is Neon's branch config and infrastructure-as-code file: declare which services your branches have, get type-safe env vars, and program per-branch compute — all in TypeScript (see the `neon` skill for the full reference). Postgres always exists on every branch, so you never declare the database itself; what you codify here is the Postgres-adjacent surface — Neon Auth, the Data API, and per-branch compute settings (autoscaling and scale-to-zero).
-
-Add it with `@neon/config`:
-
-```bash
-npm i @neon/config
-```
-
-```typescript
-// neon.ts
-import { defineConfig } from '@neon/config/v1';
-
-export default defineConfig({
-  auth: true, // Neon Auth (adds NEON_AUTH_* env vars)
-  dataApi: true, // Data API (adds NEON_DATA_API_URL); requires auth: true (or an external IdP)
-  // Postgres exists on every branch; tune its compute per branch:
-  branch: (branch) => {
-    if (branch.exists) return {}; // leave existing branches untouched
-    if (branch.isDefault) return { protected: true }; // prod keeps default compute
-    return {
-      ttl: '7d', // non-prod branches auto-expire (max 30d)
-      postgres: {
-        computeSettings: {
-          autoscalingLimitMinCu: 0.25, // scale to zero
-          autoscalingLimitMaxCu: 1, // keep dev/preview cheap
-          suspendTimeout: '5m',
-        },
-      },
-    };
-  },
-});
-```
-
-Reconcile the declaration from the CLI — the Neon equivalent of `terraform plan` / `apply`:
-
-```bash
-neon config status   # print the branch's live config
-neon config plan     # dry-run diff of what apply would change
-neon config apply    # provision the declared services / settings
-neon deploy          # alias for `neon config apply`
-```
-
-Because `neon checkout` applies the policy as it **creates** a branch, a fresh branch comes up with these compute settings (and Auth / Data API) already in place. Checking out an _existing_ branch never reconciles it — run `neon deploy` to apply changes.
-
-Since `neon.ts` is TypeScript, invalid combinations fail to compile with an actionable message: the Data API verifies requests with Neon Auth by default, so `dataApi: true` without `auth: true` is a type error (the fix — `auth: true`, or `authProvider: 'external'` with a `jwksUrl` — is in the message). See the `neon` skill's type-safe config note.
-
-Read the resulting env back, typed and validated against the policy, with `parseEnv` from `@neon/env`:
-
-```typescript
-import { parseEnv } from '@neon/env';
-import config from './neon';
-
-const env = parseEnv(config);
-env.postgres.databaseUrl; // typed; enabling auth / dataApi above surfaces env.auth / env.dataApi
-```
-
-## Branching
-
-Use this when the user is planning isolated environments, schema migration testing, preview deployments, or branch lifecycle automation.
-
-Key points:
-
-- Branches are instant, copy-on-write clones (no full data copy).
-- Each branch has its own compute endpoint.
-- Use the neon CLI or MCP server to create, inspect, and compare branches.
-
-Link: https://neon.com/docs/introduction/branching.md
-
-For detailed branch creation workflows (normal vs schema-only branches, reset-from-parent, CLI/MCP selection), use the `neon-postgres-branches` skill if available
-
-Or fetch the full branching skill from the following URL:
-
-https://neon.com/docs/ai/skills/neon-postgres-branches/SKILL.md
-
-If this skill is not installed you can use the following command to install it:
-
-```bash
-npx skills add neondatabase/agent-skills --skill neon-postgres-branches
-```
-
-## Autoscaling
-
-Use this when the user needs compute to scale automatically with workload and wants guidance on CU sizing and runtime behavior.
-
-Link: https://neon.com/docs/introduction/autoscaling.md
-
-## Scale to Zero
-
-Use this when optimizing idle costs and discussing suspend/resume behavior, including cold-start trade-offs.
-
-Key points:
-
-- Idle computes suspend automatically (default 5 minutes, configurable) (unless disabled - launch & scale plan only)
-- First query after suspend typically has a cold-start penalty (around hundreds of ms)
-- Storage remains active while compute is suspended.
-
-Link: https://neon.com/docs/introduction/scale-to-zero.md
-
-## Instant Restore
-
-Use this when the user needs point-in-time recovery or wants to restore data state without traditional backup restore workflows.
-
-Key points:
-
-- History windows for instant restore depend on plan limits.
-- Users can create branches from historical points-in-time.
-- Time Travel queries can be used for historical inspection workflows.
-
-Link: https://neon.com/docs/introduction/branch-restore.md
-
-## Read Replicas
-
-Use this for read-heavy workloads where the user needs dedicated read-only compute without duplicating storage.
-
-Key points:
-
-- Replicas are read-only compute endpoints sharing the same storage.
-- Creation is fast and scaling is independent from primary compute.
-- Typical use cases: analytics, reporting, and read-heavy APIs.
-
-Link: https://neon.com/docs/introduction/read-replicas.md
-
-## Connection Pooling
-
-Use this when the user is in serverless or high-concurrency environments and needs safe, scalable Postgres connection management.
-
-Key points:
-
-- Neon pooling uses PgBouncer.
-- Add `-pooler` to endpoint hostnames to use pooled connections.
-- Pooling is especially important in serverless runtimes with bursty concurrency.
-
-Link: https://neon.com/docs/connect/connection-pooling.md
-
-## IP Allow Lists
-
-Use this when the user needs to restrict database access by trusted networks, IPs, or CIDR ranges.
-
-Link: https://neon.com/docs/introduction/ip-allow.md
-
-## Logical Replication
-
-Use this when integrating CDC pipelines, external Postgres sync, or replication-based data movement.
-
-Key points:
-
-- Neon supports native logical replication workflows.
-- Useful for replicating to/from external Postgres systems.
-
-Link: https://neon.com/docs/guides/logical-replication-guide.md
diff --git a/.agents/skills/neon-postgres/references/neon-sdk.md b/.agents/skills/neon-postgres/references/neon-sdk.md
deleted file mode 100644
index 65f4bc128..000000000
--- a/.agents/skills/neon-postgres/references/neon-sdk.md
+++ /dev/null
@@ -1,265 +0,0 @@
-# `@neon/sdk` — the TypeScript client for the Neon API
-
-`@neon/sdk` is the official TypeScript client for the [Neon API](https://neon.com/docs/reference/api-reference): **Fetch-based, zero-dependency, ESM-only**, generated from Neon's [OpenAPI spec](https://neon.com/api_spec/release/v2.json) with an ergonomic layer on top. It is the successor to [`@neondatabase/api-client`](https://www.npmjs.com/package/@neondatabase/api-client) (axios-based, generated-only). The old client is **not deprecated** and is safe to keep using, but new code should prefer `@neon/sdk`.
-
-Use this reference when writing typed, programmatic control of Neon resources in TypeScript — provisioning projects, managing branches/databases/endpoints, transferring projects across orgs, snapshots/restore, consumption metrics, and the beta services (Object Storage, Functions, AI Gateway, scoped credentials).
-
-## When to reach for it (vs MCP / CLI)
-
-- **Neon MCP server and CLI** are for **local development** — a coding agent in your editor or terminal.
-- **`@neon/sdk`** is for **programmatic integration**: CI/CD pipelines where the CLI isn't enough, non-trivial dev scripts, and full platforms that provision and manage fleets of Neon databases (the same open API behind Replit, Netlify DB, Laravel Cloud, and Vercel's Neon marketplace integration). All it needs is a Neon API key.
-
-## Install
-
-```bash
-npm install @neon/sdk
-```
-
-Requires Node.js ≥ 20.19, or any runtime with a global `fetch` (Bun, Deno, edge, browser).
-
-## Two layers, one package
-
-```ts
-import { createNeonClient, raw } from '@neon/sdk';
-```
-
-- **`createNeonClient`** — the high-level ergonomic client: auth once, `{ data, error }` results, typed errors, retries, readiness polling, auto-pagination, and multi-step workflows, organized into resource namespaces (`neon.projects`, `neon.branches`, `neon.postgres`, …).
-- **`raw`** — the full generated 1:1 surface: every endpoint as a standalone, tree-shakeable function (also at the `@neon/sdk/raw` subpath). Speaks the **same** `{ data, error }` / `throwOnError` contract as the ergonomic client.
-
-## Quick start
-
-```ts
-import { createNeonClient } from '@neon/sdk';
-
-const neon = createNeonClient({ apiKey: process.env.NEON_API_KEY! });
-
-// Create a project and get a ready-to-use connection string in one call.
-const { data, error } = await neon.projects.createAndConnect({ name: 'my-app' });
-if (error) throw error;
-const { project, connectionString } = data;
-```
-
-## Client configuration
-
-`createNeonClient(config)`:
-
-| Option             | Type                                          | Default                            | Description                                                                                                                                           |
-| ------------------ | --------------------------------------------- | ---------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------- |
-| `apiKey`           | `string \| (() => string \| Promise<string>)` | — (required)                       | Neon API key, or a function returning it. Sent as a Bearer token.                                                                                     |
-| `throwOnError`     | `boolean`                                     | `false`                            | `true` → methods return the resource directly and **throw** on error. `false` → return `{ data, error }`. **Narrows return types** at the type level. |
-| `waitForReadiness` | `boolean`                                     | `false`                            | `true` → mutations block until their provisioning `operations` finish, so the returned resource is ready.                                             |
-| `wait`             | `{ pollIntervalMs?; timeoutMs? }`             | `1000` / `300000`                  | Readiness poller tuning.                                                                                                                              |
-| `retries`          | `number`                                      | `2`                                | Automatic retries on always-safe statuses (`423`, `429`, `503`) with backoff.                                                                         |
-| `orgId`            | `string`                                      | —                                  | Default org for project create/list and as the transfer source org. Overridable per call.                                                             |
-| `baseUrl`          | `string`                                      | `https://console.neon.tech/api/v2` | Override the API base URL.                                                                                                                            |
-| `fetch`            | `typeof fetch`                                | global `fetch`                     | Custom fetch (proxies, tests, non-global runtimes).                                                                                                   |
-
-Every option except `apiKey` is also accepted **per call** via the trailing `options` arg (`{ throwOnError?, waitForReadiness?, signal? }`), overriding the client default.
-
-## The result model
-
-By default every method resolves to a discriminated `{ data, error }` envelope — no `try/catch`:
-
-```ts
-const { data, error } = await neon.projects.get('late-frost-12345');
-if (error) return; // error is a typed NeonError union
-data; // narrowed to Project
-```
-
-Set `throwOnError` (on the client or per call) to get the bare resource and throw instead — the return type narrows accordingly:
-
-```ts
-const neon = createNeonClient({ apiKey, throwOnError: true });
-const project = await neon.projects.get('…'); // Project (throws)
-const res = await neon.projects.get('…', { throwOnError: false }); // { data, error }
-```
-
-## Errors
-
-The `error` channel carries a typed hierarchy (all `Error` subclasses with a `kind` discriminant); the same value is thrown when `throwOnError` is set.
-
-| Class                | `kind`         | Notable fields                                               |
-| -------------------- | -------------- | ------------------------------------------------------------ |
-| `NeonError`          | (base)         | `message`, `kind`                                            |
-| `NeonApiError`       | `"api"`        | `status`, `code`, `requestId`, `response`, `body`            |
-| `NeonNotFoundError`  | `"not_found"`  | 404 — extends `NeonApiError`                                 |
-| `NeonAuthError`      | `"auth"`       | 401/403                                                      |
-| `NeonRateLimitError` | `"rate_limit"` | 429 (after retries)                                          |
-| `NeonOperationError` | `"operation"`  | `operationId`, `status` — an awaited operation failed        |
-| `NeonTimeoutError`   | `"timeout"`    | readiness/wait deadline exceeded                             |
-| `NeonNetworkError`   | `"network"`    | transport failure (no response)                              |
-| `NeonError`          | `"client"`     | SDK-side errors (e.g. ambiguous connection-string selection) |
-
-```ts
-const { error } = await neon.branches.get(pid, 'nope');
-if (error?.kind === 'not_found') {
-  /* … */
-}
-```
-
-## Pagination
-
-Cursor-paginated `list()` methods return a lazy `Paginated<T>`:
-
-```ts
-const { data: all }  = await neon.projects.list().all();   // every page → { data, error }
-const { data: page } = await neon.projects.list().page();  // one page
-for await (const project of neon.projects.list()) { … }    // stream; throws on a page error
-```
-
-## Readiness & workflows
-
-Neon mutations are asynchronous — they return `operations`. `waitForReadiness` blocks until they settle; the **workflow** methods (`createAndConnect`, `createWithCompute`) default it on and hand back a connection string in one call. The underlying primitive is `neon.operations.waitFor(operations)`.
-
-## API surface (ergonomic client)
-
-Legend: **[P]** returns `Paginated<T>` · **[W]** workflow (multi-step) · **→void** resolves to `void`.
-
-### `neon.projects`
-
-| Method                                          | Returns                                 | Notes                                                                                                          |
-| ----------------------------------------------- | --------------------------------------- | -------------------------------------------------------------------------------------------------------------- |
-| `list(query?)`                                  | **[P]** `ProjectListItem`               | `{ search?, org_id?, limit? }`                                                                                 |
-| `get(id)`                                       | `Project`                               |                                                                                                                |
-| `create(input?)`                                | `Project`                               | `{ name?, region_id?, pg_version?, org_id?, autoscaling_limit_min_cu?, autoscaling_limit_max_cu?, settings? }` |
-| `createAndConnect(input?, { pooled? })`         | **[W]** `{ project, connectionString }` | one call + readiness; `pooled` default `true`                                                                  |
-| `update(id, input)`                             | `Project`                               | `{ name?, settings? }`                                                                                         |
-| `delete(id)`                                    | `Project`                               |                                                                                                                |
-| `transfer({ fromOrgId?, toOrgId, projectIds })` | **→void**                               | `fromOrgId` defaults to client `orgId`                                                                         |
-| `transferFromUser({ toOrgId, projectIds })`     | **→void**                               | personal account → org                                                                                         |
-| `recover(id)`                                   | `Project`                               | beta — recover a soft-deleted project                                                                          |
-| `permissions.list / grant / revoke`             | `ProjectPermission`(`[]`)               | share a project by email                                                                                       |
-
-```ts
-// Provision a project and get a pooled connection string in one call
-const { data } = await neon.projects.createAndConnect(
-  { name: 'tenant-42', region_id: 'aws-us-east-1' },
-  { pooled: true },
-); // data: { project, connectionString }
-
-// Upgrade path: move projects from a sponsored (free) org to the paid org
-await neon.projects.transfer({
-  fromOrgId: sponsoredOrgId, // defaults to the client's `orgId`
-  toOrgId: paidOrgId,
-  projectIds: ['late-frost-12345'],
-});
-```
-
-### `neon.branches`
-
-| Method                                                      | Returns                                          | Notes                                                                                 |
-| ----------------------------------------------------------- | ------------------------------------------------ | ------------------------------------------------------------------------------------- |
-| `list(projectId, query?)`                                   | **[P]** `Branch`                                 | `{ search?, sort_by?, sort_order?, include_deleted? }`                                |
-| `get(projectId, branchId)`                                  | `Branch`                                         |                                                                                       |
-| `create(projectId, input?)`                                 | `Branch`                                         | `{ name?, parent_id?, parent_lsn?, parent_timestamp?, protected? }`                   |
-| `update(projectId, branchId, input)`                        | `Branch`                                         | `{ name?, protected?, expires_at? }`                                                  |
-| `delete(projectId, branchId)`                               | **→void**                                        |                                                                                       |
-| `createWithCompute(projectId, input, { pooled? })`          | **[W]** `{ branch, endpoint, connectionString }` | `input`: `{ name?, parentId?, compute?: { minCu?, maxCu?, suspendTimeoutSeconds? } }` |
-| `getDefault(projectId)` / `setDefault(projectId, branchId)` | `Branch`                                         | resolve/set the default branch                                                        |
-| `recover(projectId, branchId)`                              | `Branch`                                         | beta — recover within the 7-day window                                                |
-| `finalizeRestore(projectId, branchId, { name? }?)`          | **→void**                                        | commit a restore previewed with `snapshots.restore`                                   |
-
-```ts
-// Branch off the default branch with its own compute — returns a ready connection string
-const { data: prod } = await neon.branches.getDefault(projectId);
-const { data } = await neon.branches.createWithCompute(projectId, {
-  name: 'preview/pr-123',
-  parentId: prod?.id,
-  compute: { minCu: 0.25, maxCu: 2 },
-}); // data: { branch, endpoint, connectionString }
-```
-
-### `neon.postgres`
-
-The Postgres data plane of a branch. `neon.postgres.connectionString(params, options?)` resolves a URI, **auto-selecting** the default branch and the sole role/database when omitted:
-
-```ts
-const { data: uri } = await neon.postgres.connectionString({
-  projectId, // branchId?, endpointId?, databaseName?, roleName?, pooled? all optional; pooled default true
-});
-```
-
-Nested namespaces:
-
-- **`neon.postgres.endpoints`** — `list / get / create / update / delete`, plus `start` / `suspend` / `restart` and `listByBranch(projectId, branchId)`.
-- **`neon.postgres.roles`** — `list / get / create / delete`, plus `password(...)` (reveals) and `resetPassword(...)` (rotates; result carries the new password).
-- **`neon.postgres.databases`** — `list / get / create / update / delete`.
-- **`neon.postgres.dataApi`** — `get / create / update / delete` the branch's Data API.
-
-### Beta services
-
-- **`neon.storage`** — branch object storage. `get(projectId, branchId)` → `BranchStorage`; nested `buckets` (`list / create / delete`) and `objects` (`list / get / delete / deleteByPrefix / presign`). Use `presign(..., { operation: "upload" | "download" })` for direct S3-style transfers.
-- **`neon.functions`** — branch Neon Functions. `list` **[P]** `/ get / update / delete`, and `deploy(projectId, branchId, slug, { zip?, runtime?, environment? })` (multipart; poll `get` until `current_deployment.status === "completed"`).
-- **`neon.credentials`** — branch scoped credentials. `list / create / revoke`; secrets (`api_token`, `s3_secret_access_key`) are returned **once** on `create`. Scopes: `storage:read`, `storage:write`, `ai_gateway:invoke`, `functions:invoke`.
-- **`neon.aiGateway`** — `get(projectId, branchId)` → `BranchAiGateway` (404 when the gateway is not enabled on the branch). See the `neon-ai-gateway` skill for calling the gateway itself.
-
-### `neon.snapshots`
-
-| Method                                                | Returns                      | Notes                                                      |
-| ----------------------------------------------------- | ---------------------------- | ---------------------------------------------------------- |
-| `list(projectId)`                                     | `Snapshot[]`                 |                                                            |
-| `create(projectId, branchId, input?)`                 | `Snapshot`                   | `{ name?, timestamp?, lsn?, expiresAt? }` (point-in-time)  |
-| `update(projectId, snapshotId, input)`                | `Snapshot`                   | `{ name?, expiresAt? }` — `expiresAt: null` clears the TTL |
-| `delete(projectId, snapshotId)`                       | **→void**                    |                                                            |
-| `restore(projectId, snapshotId, input?)`              | `Branch`                     | see below                                                  |
-| `getSchedule` / `setSchedule(projectId, branchId, …)` | `BackupSchedule` / **→void** |                                                            |
-
-`restore` input: `{ name?, targetBranchId?, finalize?, preview?, keepOnAbort? }`.
-
-- Restoring **as a new branch** (no `targetBranchId`) finalizes by default → ready to use.
-- Restoring **onto an existing branch** doesn't finalize by default, so you can preview first.
-- **Transaction-style** `preview`: restores un-finalized, runs your callback, then **finalizes (commit)** on `true` or **deletes the preview branch (abort)** on `false` (unless `keepOnAbort`):
-
-```ts
-await neon.snapshots.restore(projectId, snapshotId, {
-  targetBranchId,
-  preview: async (branch) => (await checks(branch)) === 'ok', // true → commit · false → abort
-});
-```
-
-### `neon.operations` / `neon.consumption` / `neon.apiKeys` / `neon.regions` / `neon.user` / `neon.auth`
-
-- **`operations`** — `list` **[P]** `/ get`, and `waitFor(operations, { pollIntervalMs?, timeoutMs?, signal? })` (the readiness primitive).
-- **`consumption`** — cursor-paginated billing metrics: `perProject`, `perProjectV2`, `perBranchV2` (each takes `{ from, to, granularity, project_ids?, org_id? }`; `perBranchV2` requires `project_ids`). Consumption requires a Scale plan or above.
-- **`apiKeys`** — `list / create(keyName) / revoke`; the created `key` token is shown **once**.
-- **`regions.list()`**, **`user.me()` / `user.organizations()`**.
-- **`auth`** — branch-scoped Neon Auth: `get / create / disable / updateConfig`, plus `oauthProviders`, `trustedDomains`, and `users` sub-resources.
-
-## Drop down to the raw client
-
-The ergonomic namespaces don't wrap every endpoint. For anything else, `raw` exposes every endpoint 1:1 — pass `neon.client` so the call reuses the client's auth:
-
-```ts
-import { raw } from '@neon/sdk';
-// or, for guaranteed tree-shaking: import { getProjectBranchSchema } from "@neon/sdk/raw";
-
-const { data, error } = await raw.getProjectBranchSchema({
-  client: neon.client,
-  path: { project_id, branch_id },
-  query: { db_name: 'neondb' }, // db_name is required
-});
-```
-
-The raw layer speaks the same result contract: `{ data, error }` by default, or pass `throwOnError: true` for the bare resource. All request/response/error **types** are re-exported flat from `@neon/sdk` for `import type { Project, Branch, … }`.
-
-Wait on operations from a raw mutation with the readiness primitive:
-
-```ts
-const { data } = await raw.createProjectBranch({
-  client: neon.client,
-  path: { project_id: projectId },
-  body: { branch: { name: 'wip' } },
-});
-const { error } = await neon.operations.waitFor(data!.operations, { timeoutMs: 120_000 });
-```
-
-## Migrating from `@neondatabase/api-client`
-
-There's no rush — `@neondatabase/api-client` is not being deprecated. When you do move: swap axios-style `try/catch` for the `{ data, error }` envelope (or set `throwOnError: true` to keep throwing), and replace hand-rolled operation polling with `waitForReadiness` / the workflow methods (`createAndConnect`, `createWithCompute`).
-
-## Further reading
-
-- npm: https://www.npmjs.com/package/@neon/sdk
-- Neon TypeScript SDK docs: https://neon.com/docs/reference/typescript-sdk.md
-- Neon API reference: https://neon.com/docs/reference/api-reference
-- Building a platform on Neon: the `neon-for-agent-platforms` skill (`npx skills add neondatabase/neon-for-agent-platforms`) ships runnable `@neon/sdk` scripts for provisioning, branching, snapshots, project transfer, and consumption metrics.
diff --git a/.agents/skills/neon/SKILL.md b/.agents/skills/neon/SKILL.md
index d5dca78cb..f1970c1fb 100644
--- a/.agents/skills/neon/SKILL.md
+++ b/.agents/skills/neon/SKILL.md
@@ -1,346 +1,79 @@
 ---
 name: neon
 description: >-
-  Overview of the Neon platform for apps and agents, spanning Postgres, Auth,
-  the Data API, and the new services: Object Storage, Compute Functions, and AI
-  Gateway. Use when "Neon" is mentioned, or when any of its individual
-  capabilities are the trigger: "object storage" or "S3", "buckets", "serverless
-  functions", "AI gateway", "call an LLM", "postgres", "database", or "backend".
+  Repository-specific guidance for working with InferenceX's Neon PostgreSQL
+  databases, connection variables, migrations, and query code. Use when Neon,
+  Postgres, DATABASE_URL, database, schema, migration, or backend data access is
+  mentioned.
 ---
 
-# Neon
+# Neon PostgreSQL in InferenceX
 
-Important: Neon is no longer just a Serverless Postgres provider. Neon is the backend for apps and agents with Serverless Postgres, Auth, Functions, Object Storage, and an AI Gateway: instant, branchable, serverless.
+Use this skill for database work in this repository. InferenceX runs on Vercel
+and uses Neon as PostgreSQL; do not introduce Neon Auth, Object Storage,
+Functions, AI Gateway, an ORM, or new infrastructure unless the user asks.
 
-Use this skill as the starting point for anything Neon: get an overview of its capabilities, find your way around the Neon agent skills and documentation, and follow best practices for getting started and for branch-first development workflows.
+## Start with the repository
 
-## Platform Services
+Read the relevant local documentation before changing code:
 
-Neon bundles several backend primitives for building apps and agents that all branch together with your project:
+- `docs/index.md`
+- `docs/architecture.md` for the API and cache boundaries
+- `docs/data-pipeline.md` for ingestion and schema flow
+- `docs/collectivex.md` for the separate CollectiveX database
 
-- **Postgres** — Serverless Postgres that scales and branches with your app. _Generally available._
-- **Auth** — Managed authentication with users and sessions stored in Postgres. _Generally available._
-- **Object Storage** — S3-compatible object storage that branches with your projects. _Public beta._
-- **Functions** — Long-running serverless functions - Neon's compute offering - running close to your database — for WebSocket servers, long agent HTTP streams, APIs, and server-sent event servers. _Public beta._
-- **AI Gateway** — One API for all frontier and open-source models, with routing, logging, and cost controls, powered by Databricks. _Public beta._
+Existing database code lives in `packages/db/`. Reuse its connection helpers,
+tagged SQL patterns, migrations, and scripts instead of creating a parallel
+client or configuration layer.
 
-### Public Beta Service Availability
+## Connections and credentials
 
-Object Storage, Functions, and AI Gateway are in public beta.
+- Main read path: `DATABASE_READONLY_URL`
+- Main administrative writes: `DATABASE_WRITE_URL`
+- CollectiveX read path: `DATABASE_COLLECTIVEX_READONLY_URL`
+- CollectiveX writes and migrations: `DATABASE_COLLECTIVEX_WRITE_URL`
 
-Beta access features are only available on net-new projects created in the `us-east-2` region; they cannot be enabled on existing projects for now. Before guiding a user through any of these services, confirm they are working with a new project in `us-east-2`. If not, they will need to create a new project in that region.
+Keep credentials in environment variables. Never print, commit, copy into
+source, or expose connection strings in logs or responses. Use the read-only
+connection for diagnostics and normal reads; use a write connection only when
+the requested task authorizes mutation.
 
-## Architecture: how Neon fits
+The application uses `@neondatabase/serverless` for serverless reads and
+`postgres` for administrative or transaction-heavy scripts. Preserve that
+split unless runtime requirements clearly demand a change.
 
-Neon is **not** a place to host your full-stack app — it's backend primitives (Postgres, Auth, Object Storage, Functions, AI Gateway) that **compose with** the application platform you already use. Host the app on **Vercel** (or Netlify, or another frontend/app host); Neon is the backend it talks to.
+## Schema and query changes
 
-A typical setup:
+1. Inspect the current migration and query code before proposing a schema
+   change.
+2. Add an append-only migration; never rewrite a migration that may have
+   already run.
+3. Keep raw database rows in API responses unless a documented route is an
+   explicit exception.
+4. Make multi-step writes atomic and safe under concurrent Vercel requests.
+5. Verify indexes and bounded query behavior for new filters or ordering.
+6. Add focused query/migration tests and run the repository checks.
 
-- **Full-stack app on Vercel** (or Netlify) — e.g. Next.js or TanStack Start. It owns your UI and auth (e.g. **Neon Auth**) and talks directly to your **Neon Postgres** database and **Neon Object Storage**.
-- **Reach for Neon Functions when you outgrow the host's limits** — a WebSocket or SSE server, or long-running agents that risk timing out on short, lambda-style serverless. Run that one piece on a Neon Function, next to your data.
-
-You can also move your **whole backend control plane** onto Neon Functions. This is especially useful when the frontend is **client-only** rather than full-stack — TanStack Router, React Router in client mode, and similar SPAs hosted on Vercel or Netlify. The client talks **directly to Neon Functions**, where you build REST APIs and request/response agents, host **MCP servers**, and run anything stateful or that should live close to Postgres and Object Storage. Secure these functions like any standalone REST API — verify a JWT or API key at the top of each handler (see the `neon-functions` skill).
-
-Because Functions are just your backend, they compose with a full-stack app too: if you already have a backend (Next.js route handlers, etc.), Neon Functions sit alongside it, and you can **move pieces between the two** — e.g. relocate a long-running agent or a stateful WebSocket server off your host onto a Function when it needs more runtime.
-
-## Neon Documentation
-
-The Neon documentation is the source of truth for all Neon-related information. Always verify claims against the official docs before responding. Neon features and APIs evolve, so prefer fetching current docs over relying on training data.
-
-### Fetching Docs as Markdown
-
-Any Neon doc page can be fetched as markdown in two ways:
-
-1. **Append `.md` to the URL** (simplest): https://neon.com/docs/introduction/branching.md
-2. **Request `text/markdown`** on the standard URL: `curl -H "Accept: text/markdown" https://neon.com/docs/introduction/branching`
-
-Both return the same markdown content. Use whichever method your tools support.
-
-### Finding the Right Page
-
-The docs index lists every available page with its URL and a short description:
-
-```
-https://neon.com/docs/llms.txt
-```
-
-Common doc URLs are organized in the topic links below. If you need a page not listed here, search the docs index: https://neon.com/docs/llms.txt. Don't guess URLs.
-
-## Choosing the Right Skill
-
-- Working with the database, connections, schema, queries, autoscaling, or the CLI/MCP/API → `neon-postgres`.
-- Choosing or creating the right branch type for dev, preview, test, or CI workflows → `neon-postgres-branches`.
-- Storing and serving files (uploads, images, blobs) that branch with the database → `neon-object-storage`.
-- Deploying long-running or streaming serverless functions — APIs, agents, SSE/WebSocket servers — next to the database → `neon-functions`.
-- Calling an LLM or routing across model providers with one credential — including discovering the branch's servable models at runtime via the OpenAI-compatible `/v1/models` endpoint → `neon-ai-gateway`.
-- Provisioning instant, claimable temporary Postgres databases (for example, one per end user or demo) → `claimable-postgres`.
-- Diagnosing or fixing excessive Postgres egress (network data-transfer) costs in a codebase → `neon-postgres-egress-optimizer`.
-
-### Installing the Right Skill
-
-First check whether the target skill is already installed and accessible (for example, it appears in the available skills list or its `SKILL.md` is present). If it is, use it directly. If it is not installed, install it via the `skills` CLI with `npx`/`bunx`:
-
-```bash
-npx skills add neondatabase/agent-skills -s <skill-name>
-```
-
-Replace `<skill-name>` with the skill you need (for example, `neon-object-storage`, `neon-functions`, or `neon-ai-gateway`). Useful flags:
-
-- `-g` — install globally instead of into the current project.
-- `-y` — non-interactive mode (skip prompts).
-- `-a <agent-name>` — pick the target agent(s) for non-interactive mode.
-
-For example, to install the object storage skill globally for a specific agent without prompts:
-
-```bash
-npx skills add neondatabase/agent-skills -s neon-object-storage -g -y -a <agent-name>
-```
-
-You should also make sure the skills are up to date. You can run the same command or replace `add` with `update` to update all Neon skills.
-
-## Getting Started with Neon
-
-Use this section when guiding a user through first-time Neon setup, or when adding a new Neon service (Auth, object storage, functions, and so on) to a project that is already onboarded (for example, one already using Neon Postgres).
-
-### Check Status Quo
-
-Before starting setup, inspect the user's codebase and environment:
-
-- Existing database connection code
-- Existing `.neon` or `neon.ts` files in the workspace
-- Existing Neon MCP server or Neon CLI configuration
-- Existence of a `.env` file and `DATABASE_URL` environment variable
-- Existing ORM (Prisma, Drizzle, TypeORM) configuration
-
-### Self-Driving Setup With Neon's CLI or MCP Server
-
-Offer to inspect existing connected Neon projects or create new ones using the Neon CLI or MCP server. If neither is set up yet, run `npx -y neon init`. Use `npx -y` to skip the package install prompt. Auth is handled automatically. If the user is not logged in, it opens their browser for OAuth and waits for completion before proceeding.
+Useful commands:
 
 ```bash
-npx -y neon@latest init
+bun run admin:db:migrate
+bun run admin:db:migrate:collectivex
+bun run admin:db:verify
+bun run typecheck
+bun run test:unit
 ```
 
-This installs the Neon CLI and MCP server globally, installs the VSCode extension (for Cursor/VS Code), and adds the `neon` and `neon-postgres` agent skills to the project.
-
-If `init` is not suitable, the individual steps can be run non-interactively, using the user's preferred package manager (npm, bun, pnpm):
-
-- **CLI:** `npm i -g neon`
-- **Extension:** `cursor --install-extension databricks.neon-local-connect`
-- **MCP server:** `npx -y add-mcp https://mcp.neon.tech/mcp -g -n Neon -y -a <agent-name>`
-- **Agent skill:** `npx skills add neondatabase/agent-skills --skill neon-postgres --skill neon --agent <agent-name> -y`
-
-Prefer the CLI over the MCP server unless the user instructs otherwise, since it provides more capabilities, including deploying Neon Functions. For full CLI installation options, see https://neon.com/docs/cli/install.md
-
-### Setup Flow
-
-Once the CLI, MCP server, and agent skills are installed, ensure the local workspace is linked to a Neon project through the `neon init` flow. If it isn't, run `npx -y neon link` to let the user interactively link a project. This produces a `.neon` file pointing to the organization, project, and branch the user wants to work with.
-
-For each Neon service, consult that component's agent skill for service-specific setup instructions (Functions, Postgres, Object Storage, Gateway, and so on).
-
-### Resume Support
-
-If resuming setup, check what's already configured (MCP connection, `.env` with `DATABASE_URL`, dependencies, schema) and continue from the next incomplete step.
-
-### Security Reminders
-
-Remind users to use environment variables for credentials, never commit connection strings, and use least-privilege database roles.
-
-## Branch-First Dev Flow
-
-Default to a branch-first loop that mirrors `git`: one isolated Neon branch per feature, so nothing leaks between features and there are no shared connection strings to copy around. Two commands drive it — `link` once per project, then `checkout` per feature — and a third, `env pull`, runs automatically under the hood so the branch you pin is immediately usable:
-
-- `neon link` — Interactively links the workspace to a Neon org, project, and branch, writing the IDs to a git-ignored `.neon` file. Run once per project. Once linked, project- and branch-scoped commands no longer need `--project-id` or `--branch` (for example, `neon branch list`).
-- `neon checkout <branch-name>` — Creates the branch if it doesn't exist, or checks out the existing one, by updating only the branch pointer in `.neon`. Run without a name for an interactive picker. It does not touch code or local Postgres.
-- `neon env pull` — Fetches the current branch's Neon environment variables (`DATABASE_URL`, …) into your existing `.env`, or `.env.local` if you don't have one (override the target with `--file`). No branch ID needed; it reads `.neon`. **`link` and `checkout` run this for you by default**, so you rarely call it directly.
-
-Run `link` once when starting on a project, then `checkout` per feature:
-
-```bash
-neon link                     # once; also pulls the linked branch's env
-neon checkout dev-add-search  # per feature; also pulls the branch's env
-```
-
-Because `link` and `checkout` pull env by default, the branch's `DATABASE_URL` lands in your local `.env` automatically — build against it, then `checkout` the next branch and repeat. As the agent, drive this loop yourself: run `checkout` between tasks to get a fresh, isolated database per feature with no shared state to corrupt.
-
-### Updating `.neon` without interactive prompts
-
-Plain `neon link` / `neon checkout` prompt interactively, which an agent can't answer. Use one of these non-interactive paths instead:
-
-- **`neon link --agent`** — a JSON state machine for agents. Each call returns a single JSON object with a `status` (`needs_org` → `needs_project` → `needs_project_details` → `linked`, or `error`), the available `options`, and the exact `next_command_template` to run next. Drive it step by step until `status: "linked"`. (Errors also come back as JSON with exit code 1, so you can always parse the result.)
-- **`neon set-context --project-id <id> --org-id <id> --branch-id <id>`** — when you already know the IDs, write all three into `.neon` in one shot. This is a **destructive write**: it replaces the file's contents entirely with exactly these fields, so it's the most direct way to point `.neon` at a specific org / project / branch.
-
-Both avoid prompts entirely; reach for `set-context` when you have the IDs and `link --agent` when you need to discover them.
-
-### Opting out of local env vars
+Do not run migrations, destructive SQL, or production writes during a review
+or diagnostic request. For authorized schema work, prefer an isolated Neon
+branch and confirm the target before applying changes.
 
-If env vars are injected at runtime instead of written to disk — or you simply don't want secrets in the working tree — pass `--no-env-pull` to `link` / `checkout` and supply the env another way:
+## Current Neon documentation
 
-- `neon-env run -- <your dev command>` (from `@neon/env`) fetches the branch's vars from your `neon.ts` and injects them into the child process at runtime — no `.env` file needed. This is the runtime counterpart to the on-disk `env pull`.
-- `neon-env export` (from `@neon/env`) prints the branch's env to stdout as dotenv lines or, with `--format json`, JSON — for piping into another env manager rather than running a command. For example, [varlock](https://varlock.dev) can bulk-load it from a `.env.schema` with `@setValuesBulk(exec("neon-env export --format json"), format=json)`.
-- `fetchEnv` from `@neon/env` is the programmatic version of the same thing: resolve the branch's env in code at runtime instead of shelling out to `neon-env run`.
-- `neon dev` injects the same vars into your local dev server — it's part of Neon Functions local development (a public beta feature).
-
-When an agent should not write a local `.env`, instruct it (for example in your `AGENTS.md`) to run `neon checkout <branch> --no-env-pull` and rely on runtime injection.
-
-For reading env you _already_ have on disk (typed and validated against your `neon.ts`), use `parseEnv` — see [Neon Infrastructure as Code](#neon-infrastructure-as-code) below.
-
-## Neon Infrastructure as Code
-
-`neon.ts` is Neon's branch config and infrastructure-as-code file: declare which Neon services your project's branches should have, get type-safe env vars, and program branch settings — all in TypeScript. It's the config layer for Neon as a platform, and it composes with the branch-first loop above. Add it with `@neon/config`:
-
-```bash
-npm i @neon/config
-```
-
-```typescript
-// neon.ts
-import { defineConfig } from '@neon/config/v1';
-
-export default defineConfig({
-  auth: true,
-  dataApi: true,
-});
-```
-
-### Provision services with neon config
-
-Every project ships with serverless Postgres; `neon.ts` lets you also declare Neon Auth and the Data API today, with Functions, buckets, and the AI Gateway under a `preview` block — every service for the branch composes in one file:
-
-```typescript
-// neon.ts
-export default defineConfig({
-  auth: true,
-  dataApi: true,
-  preview: {
-    functions: {/* ... */}, // see the neon-functions skill
-    buckets: {/* ... */}, // see the neon-object-storage skill
-    aiGateway: true, // see the neon-ai-gateway skill
-  },
-});
-```
-
-Reconcile the declaration from the CLI — the Neon equivalent of `terraform status` / `plan` / `apply`:
-
-```bash
-neon config status   # print the branch's live config (read-only)
-neon config plan     # dry-run diff of what apply would change (read-only)
-neon config apply    # provision the declared services
-neon deploy          # alias for `neon config apply`
-```
-
-`config status` and `config plan` only read state. `apply` / `deploy` — like `link` and `checkout` — provision the declared services **and then pull the branch's env into your local `.env.local`** (e.g. `Pulled 5 Neon variables into .env.local: DATABASE_URL, …`), so your local env always matches what's deployed.
-
-### Type-safe env vars with parseEnv
-
-`@neon/env`'s `parseEnv` takes your `neon.ts` config object and returns a parsed, typed env object, validated against the services you declared. The shape of `env` follows your config — enable `auth` and you get `env.auth`, enable `dataApi` and you get `env.dataApi` — and missing variables are flagged with clear errors (for you and your agents). Use it to read env you already have (typically pulled into `.env` by `checkout` / `env pull`); for fetching env at runtime without a file, reach for `fetchEnv` / `neon-env run` instead.
-
-```bash
-npm i @neon/env
-```
-
-```typescript
-import { parseEnv } from '@neon/env';
-import config from './neon';
-
-const env = parseEnv(config);
-
-console.log(env.postgres.databaseUrl);
-console.log(env.auth.baseUrl);
-```
-
-By default `parseEnv` requires _every_ variable your config implies. When a process only uses a subset — a common case in frameworks like Next.js, where you might read `DATABASE_URL` but never the unpooled URL — pass an array of env-var keys to require and return only those. The keys are typesafe: autocomplete only offers variables your config enables, and the returned shape is narrowed to exactly what you selected (so unselected variables are neither enforced nor present).
-
-```typescript
-import { parseEnv } from '@neon/env';
-import config from './neon';
-
-// Only DATABASE_URL is required and returned; DATABASE_URL_UNPOOLED is not enforced.
-const { postgres } = parseEnv(config, ['DATABASE_URL']);
-console.log(postgres.databaseUrl);
-
-// Selecting across services — only these keys are validated/returned.
-const env = parseEnv(config, ['DATABASE_URL', 'NEON_AUTH_BASE_URL']);
-console.log(env.postgres.databaseUrl, env.auth.baseUrl);
-```
-
-### How checkout composes with neon.ts
-
-When a `neon.ts` is present, `neon checkout` applies your policy as it **creates** a branch, so a fresh branch comes up with its declared settings and services already in place. Checking out an _existing_ branch never reconciles it — apply config changes to it explicitly with `neon config apply` (or `neon deploy`). The bundled `env pull` also checks `neon.ts` against the linked branch and fails fast if the branch is missing a declared service, pointing you at `neon deploy` to provision it, so your local env and the remote branch never drift apart silently.
-
-### Branch configuration
-
-Beyond services, `neon.ts` can program what configuration _new_ branches receive via the `branch` property — a function of the branch being evaluated that returns its settings:
-
-```typescript
-// neon.ts
-import { defineConfig } from '@neon/config/v1';
-
-export default defineConfig({
-  auth: true,
-  dataApi: true,
-  branch: (branch) => {
-    if (branch.exists) {
-      // leave existing branches untouched
-      return {};
-    }
-    if (branch.name.startsWith('dev')) {
-      return {
-        ttl: '7d', // clean up the branch after 7 days
-        postgres: {
-          computeSettings: {
-            autoscalingLimitMinCu: 0.25, // scale to zero
-            autoscalingLimitMaxCu: 1, // keep it cheap
-            suspendTimeout: '5m',
-          },
-        },
-      };
-    }
-    return {};
-  },
-});
-```
-
-The `branch` function receives the target branch (its `name`, whether it `exists` yet, whether it's the default, and more) and returns the tuning you want. Here new `dev-*` branches get a 7-day TTL so they clean themselves up, plus a cheap scale-to-zero compute profile, while existing branches and everything else fall through to the defaults. Because `neon checkout` applies this policy on create, a fresh `dev-*` branch comes up with these settings already in place.
-
-### Type-safe config: invalid setups don't compile
-
-Because `neon.ts` is TypeScript, the compiler catches invalid infrastructure before you ever deploy — and Neon encodes the actual rules (and their fixes) into the types, so the error tells you what to do rather than failing with a useless `Type 'true' is not assignable to type 'never'`. The canonical case: the Data API verifies requests with Neon Auth by default, so enabling it on its own is a type error _on_ `dataApi`:
-
-```typescript
-export default defineConfig({
-  dataApi: true, // type error: `dataApi` (default authProvider 'neon') requires Neon Auth
-});
-```
-
-The message names both fixes, so pick one:
-
-```typescript
-// 1. Enable Neon Auth (the default Data API auth provider):
-export default defineConfig({ auth: true, dataApi: true });
-
-// 2. Or verify a third-party IdP instead of Neon Auth:
-export default defineConfig({
-  dataApi: {
-    authProvider: 'external',
-    jwksUrl: 'https://your-idp/.well-known/jwks.json',
-  },
-});
-```
-
-Treat a `neon.ts` type error as the config telling you which services must go together — read the message, it spells out the valid combinations.
-
-## Gotchas
-
-### Neon Auth: "invalid domain"
-
-Neon Auth only redirects back to domains on its trusted-domains list. Anytime the domain your app runs on changes — a new production custom domain, a new deploy/preview URL, moving from `localhost` to a hosted environment, and so on — you must register the new domain with Neon Auth. Otherwise sign-in and OAuth callbacks fail with an **`invalid domain`** error because the redirect target isn't trusted.
-
-The easiest way to fix this is the CLI. With the workspace linked to the project (see the branch-first flow above), add the new domain to the trusted list:
-
-```bash
-neon neon-auth domain add <domain>   # e.g. neon neon-auth domain add https://app.example.com
-neon neon-auth domain list           # verify what's currently trusted
-neon neon-auth domain delete <domain> # remove one you no longer use
-```
+Neon changes over time. For platform-specific behavior, verify against the
+official documentation index rather than relying on this compact skill:
 
-If the workspace isn't linked, pass `--project-id <id>` (and `--branch <id|name>`) explicitly. For local development, `neon neon-auth domain allow-localhost` manages whether `localhost` is permitted. Register the domain before pointing users at the new URL, so they never hit the `invalid domain` error.
+- https://neon.com/docs/llms.txt
+- https://neon.com/docs/connect/choose-connection
+- https://neon.com/docs/serverless/serverless-driver
+- https://neon.com/docs/introduction/branching
diff --git a/.prettierignore b/.prettierignore
index e84ae649f..dba0cfe32 100644
--- a/.prettierignore
+++ b/.prettierignore
@@ -6,4 +6,5 @@
 # that are replaced wholesale rather than hand-edited, so formatting them buys
 # nothing; without this entry the pre-commit hook would silently re-expand them.
 packages/app/cypress/fixtures/api/collectivex-latest.json
+packages/app/cypress/fixtures/api/collectivex-run-*.json
 packages/app/cypress/fixtures/api/collectivex-runs.json
diff --git a/bun.lock b/bun.lock
index 796ca1245..cacc2d2b8 100644
--- a/bun.lock
+++ b/bun.lock
@@ -23,7 +23,6 @@
         "@chenglou/pretext": "^0.0.8",
         "@jpinsonneau/html-to-image": "^1.11.13",
         "@noble/ciphers": "^2.2.0",
-        "@noble/hashes": "^2.2.0",
         "@posthog/nextjs-config": "^1.9.68",
         "@radix-ui/react-accordion": "^1.2.20",
         "@radix-ui/react-dialog": "^1.1.23",
@@ -62,7 +61,6 @@
         "shiki": "^4.3.1",
         "tailwind-merge": "^3.6.0",
         "three": "^0.185.1",
-        "zod": "^4.4.3",
       },
       "devDependencies": {
         "@bahmutov/cypress-esbuild-preprocessor": "^2.2.8",
@@ -392,8 +390,6 @@
 
     "@noble/ciphers": ["@noble/ciphers@2.2.0", "", {}, "sha512-Z6pjIZ/8IJcCGzb2S/0Px5J81yij85xASuk1teLNeg75bfT07MV3a/O2Mtn1I2se43k3lkVEcFaR10N4cgQcZA=="],
 
-    "@noble/hashes": ["@noble/hashes@2.2.0", "", {}, "sha512-IYqDGiTXab6FniAgnSdZwgWbomxpy9FtYvLKs7wCUs2a8RkITG+DFGO1DM9cr+E3/RgADRpFjrKVaJ1z6sjtEg=="],
-
     "@nodelib/fs.scandir": ["@nodelib/fs.scandir@2.1.5", "", { "dependencies": { "@nodelib/fs.stat": "2.0.5", "run-parallel": "1.2.0" } }, "sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g=="],
 
     "@nodelib/fs.stat": ["@nodelib/fs.stat@2.0.5", "", {}, "sha512-RkhPPp2zrqDAQA/2jNhnztcPAlv64XdhIp7a7454A5ovI7Bukxgt7MX7udwAu3zg1DcpPU0rz3VV1SeaqvY4+A=="],
diff --git a/docs/collectivex.md b/docs/collectivex.md
index 4e976680f..feee0b515 100644
--- a/docs/collectivex.md
+++ b/docs/collectivex.md
@@ -28,10 +28,12 @@ routes call before reading the DB (`packages/db/src/queries/collectivex.ts`):
 
 - `ensureLatestCollectiveXRun` — walk GitHub's completed sweep runs newest-first; stop at
   the first live requested-version run; persist it if absent.
-- `ensureCollectiveXRunsList` — backfill up to 8 recent runs so the run table lists sweeps
-  nobody has viewed yet.
-- `ensureCollectiveXRun` — fetch one run by id (only if completed — persisting an
-  in-progress run would freeze a partial snapshot).
+- `ensureCollectiveXRunsList` — progressively backfill every requested-version run whose
+  14-day artifacts may still be downloaded. Each request changes at most eight rows; an
+  incomplete response is uncached and the client refetches until the workflow history is
+  exhausted. Known rows do not consume the batch, so discovery advances past the newest runs.
+- `ensureCollectiveXRun` — fetch one run by id, or compare a stored run's `run_attempt`
+  against GitHub and refresh it when a rerun is newer. Only completed runs are persisted.
 
 Key invariants:
 
@@ -41,34 +43,41 @@ Key invariants:
   `FOR UPDATE`-guarded refresh statement.
 - **Deletion tombstones** (`cx_runs.deleted_at`, documents freed): discovery must never
   resurrect a deleted run. Re-ingesting via the CLI
-  (`pnpm admin:db:ingest:collectivex <run-url-or-id>`) clears the tombstone — that CLI is
+  (`bun run admin:db:ingest:collectivex <run-url-or-id>`) clears the tombstone — that CLI is
   the operator tool for pre-warming runs before artifact expiry, backfills, and un-deletes.
 - **"Latest" orders by `run_id`** (monotonic with run creation, matching the discovery
   walk) — not by completion time, where a long-failing older run would shadow a newer
   successful one.
 - **GitHub being down never takes the page down**: routes serve whatever the DB holds and
   only surface an error when there is no stored fallback.
+- **Run-list completeness is progressive**: `/api/v1/collectivex/runs` returns
+  `discovery_complete: false` while another bounded ingest pass is required. Those responses
+  use `private, no-store`; the client polls once per second until the field becomes `true`.
+  Stored runs remain visible indefinitely, while never-ingested runs disappear with their
+  upstream artifacts and can no longer be reconstructed.
 - **Caching**: responses carry the `collectivex` CDN tag with a 60s
   `s-maxage` (freshness bound for lazy discovery). Run deletion and
   `POST /api/v1/invalidate?scope=collectivex` purge only that tag; the main dashboard's
   blob cache is untouched by CollectiveX operations.
 - **Env**: `DATABASE_COLLECTIVEX_READONLY_URL` (must be the same primary as the write URL
   — the routes read their own writes), `DATABASE_COLLECTIVEX_WRITE_URL` (direct/unpooled;
-  also used by migrations via `pnpm admin:db:migrate:collectivex`),
+  also used by migrations via `bun run admin:db:migrate:collectivex`),
   `COLLECTIVEX_ADMIN_SECRET` (delete route Bearer token — deliberately not
   INVALIDATE_SECRET, since it is remembered in browser localStorage), and `GITHUB_TOKEN`.
 
 ## Multi-run explorer
 
-The frontend always loads every stored live run summary for the selected benchmark version. The
-summary query has no arbitrary row cap and does not load artifact documents. Each table row has a
-visibility checkbox; checking a run fetches its cached dataset through
-`/api/v1/collectivex/runs/[runId]`. Checked datasets are combined client-side, and the EP, phase,
-kernel mode, precision, SKU, and backend controls filter their combined series.
+The frontend loads every stored live run summary for the selected benchmark version and keeps
+refetching while recent GitHub history is still being ingested. The summary query has no arbitrary
+row cap and does not load artifact documents. Each table row has a visibility checkbox; checking a
+run fetches its cached dataset through `/api/v1/collectivex/runs/[runId]`. Checked datasets are
+combined client-side, and the EP, phase, kernel mode, precision, SKU, and backend controls filter
+their combined series.
 
 Series ids are namespaced by GitHub Actions run id so the same matrix case from two runs remains
 independently toggleable. Configuration color stays consistent across runs; run identity is encoded
-as a line dash pattern shown in both the run table and legend, keeping run ids out of legend labels.
+as a stable, non-repeating line dash pattern shown in both the run table and legend, keeping run ids
+out of visible legend labels while retaining them in the legend item's accessible title.
 The newest run with measured cases is checked by default; newer incomplete sweeps remain listed but
 cannot blank the initial explorer. Deletion is a row action in the run table and keeps the same
 tombstone semantics described above.
diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index b248b816a..0106a3da6 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -32,7 +32,7 @@ const ADMIN_TOKEN_KEY = 'collectivex-admin-token';
 
 function installRuns(bodies: CollectiveXDataset[] = [dataset]) {
   cy.intercept('GET', '/api/v1/collectivex/runs?*', {
-    body: { version: 1, runs: bodies.map(buildRunSummary) },
+    body: { version: 1, runs: bodies.map(buildRunSummary), discovery_complete: true },
   }).as('runs');
 }
 
@@ -77,6 +77,30 @@ describe('CollectiveX neutral run view', () => {
       );
   });
 
+  it('keeps loading bounded discovery batches until every run is listed', () => {
+    let requests = 0;
+    cy.intercept('GET', '/api/v1/collectivex/runs?*', (request) => {
+      requests += 1;
+      request.reply({
+        body: {
+          version: 1,
+          runs: (requests === 1 ? [dataset] : [dataset, comparisonDataset]).map(buildRunSummary),
+          discovery_complete: requests > 1,
+        },
+      });
+    }).as('progressiveRuns');
+
+    cy.reload();
+    cy.wait('@progressiveRuns');
+    cy.wait('@run');
+    cy.wait('@progressiveRuns');
+
+    cy.get(`[data-testid="collectivex-run-row-${comparisonDataset.run.run_id}"]`).should(
+      'be.visible',
+    );
+    cy.then(() => expect(requests).to.be.gte(2));
+  });
+
   it('renders the default decode round-trip chart for the EP8 scale-up series', () => {
     cy.get('[data-testid="collectivex-main-chart"]')
       .should('contain.text', 'Round trip (measured) · decode · p99')
diff --git a/packages/app/cypress/fixtures/api/collectivex-run-159.json b/packages/app/cypress/fixtures/api/collectivex-run-159.json
index addd0b51e..6cc60f58e 100644
--- a/packages/app/cypress/fixtures/api/collectivex-run-159.json
+++ b/packages/app/cypress/fixtures/api/collectivex-run-159.json
@@ -1,1087 +1 @@
-{
-  "version": 1,
-  "run": {
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diff --git a/packages/app/cypress/fixtures/api/collectivex-runs.json b/packages/app/cypress/fixtures/api/collectivex-runs.json
index 9baa64d40..efdc80210 100644
--- a/packages/app/cypress/fixtures/api/collectivex-runs.json
+++ b/packages/app/cypress/fixtures/api/collectivex-runs.json
@@ -1,44 +1 @@
-{
-  "version": 1,
-  "runs": [
-    {
-      "run_id": "160",
-      "run_attempt": 1,
-      "generated_at": "2026-07-08T12:20:00Z",
-      "conclusion": "success",
-      "covered_skus": [
-        "b200-dgxc",
-        "b300",
-        "h200-dgxc",
-        "mi355x"
-      ],
-      "requested_cases": 5,
-      "measured_cases": 3,
-      "requested_points": 50,
-      "terminal_points": 40,
-      "terminal_counts": {
-        "measured": 3,
-        "unsupported": 1,
-        "failed": 0
-      }
-    },
-    {
-      "run_id": "159",
-      "run_attempt": 1,
-      "generated_at": "2026-07-07T12:20:00Z",
-      "conclusion": "success",
-      "covered_skus": [
-        "h200-dgxc"
-      ],
-      "requested_cases": 1,
-      "measured_cases": 1,
-      "requested_points": 10,
-      "terminal_points": 10,
-      "terminal_counts": {
-        "measured": 1,
-        "unsupported": 0,
-        "failed": 0
-      }
-    }
-  ]
-}
+{"version":1,"runs":[{"run_id":"160","run_attempt":1,"generated_at":"2026-07-08T12:20:00Z","conclusion":"success","covered_skus":["b200-dgxc","b300","h200-dgxc","mi355x"],"requested_cases":5,"measured_cases":3,"requested_points":50,"terminal_points":40,"terminal_counts":{"measured":3,"unsupported":1,"failed":0}},{"run_id":"159","run_attempt":1,"generated_at":"2026-07-07T12:20:00Z","conclusion":"success","covered_skus":["h200-dgxc"],"requested_cases":1,"measured_cases":1,"requested_points":10,"terminal_points":10,"terminal_counts":{"measured":1,"unsupported":0,"failed":0}}],"discovery_complete":true}
diff --git a/packages/app/package.json b/packages/app/package.json
index a34ed51b2..77293767b 100644
--- a/packages/app/package.json
+++ b/packages/app/package.json
@@ -32,7 +32,6 @@
     "@chenglou/pretext": "^0.0.8",
     "@jpinsonneau/html-to-image": "^1.11.13",
     "@noble/ciphers": "^2.2.0",
-    "@noble/hashes": "^2.2.0",
     "@posthog/nextjs-config": "^1.9.68",
     "@radix-ui/react-accordion": "^1.2.20",
     "@radix-ui/react-dialog": "^1.1.23",
@@ -70,8 +69,7 @@
     "remark-gfm": "^4.0.1",
     "shiki": "^4.3.1",
     "tailwind-merge": "^3.6.0",
-    "three": "^0.185.1",
-    "zod": "^4.4.3"
+    "three": "^0.185.1"
   },
   "devDependencies": {
     "@bahmutov/cypress-esbuild-preprocessor": "^2.2.8",
diff --git a/packages/app/scripts/capture-cypress-fixtures.ts b/packages/app/scripts/capture-cypress-fixtures.ts
index 6e2ba55f1..e30c042d3 100644
--- a/packages/app/scripts/capture-cypress-fixtures.ts
+++ b/packages/app/scripts/capture-cypress-fixtures.ts
@@ -131,9 +131,11 @@ function sampleAlongAxis<T>(
 }
 
 async function writeFixture(name: string, data: unknown): Promise<number> {
-  // Pretty-print: matches oxfmt's output so re-running capture doesn't dirty
-  // the working tree on the formatter pass.
-  const body = `${JSON.stringify(data, null, 2)}\n`;
+  // Large, machine-shaped API payloads stay minified; every other fixture is
+  // pretty-printed to match oxfmt. This mirrors .prettierignore and makes
+  // repeated capture runs byte-for-byte stable.
+  const minified = name.startsWith('collectivex-');
+  const body = `${JSON.stringify(data, null, minified ? undefined : 2)}\n`;
   await writeFile(resolve(fixturesDir, `${name}.json`), body);
   return body.length;
 }
@@ -163,6 +165,7 @@ async function writeCollectiveXFixtures(): Promise<[string, number][]> {
     await writeFixture('collectivex-runs', {
       version: 1,
       runs: datasets.map(buildRunSummary),
+      discovery_complete: true,
     }),
   ]);
   return sizes;
diff --git a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.test.ts b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.test.ts
index 0e2cebbf6..c2f2c51ad 100644
--- a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.test.ts
+++ b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.test.ts
@@ -109,10 +109,21 @@ describe('GET /api/v1/collectivex/runs/[runId]', () => {
   ] as const)('maps %s ingest failures without exposing details', async (code, status) => {
     vi.spyOn(console, 'error').mockImplementation(() => {});
     mockEnsureRun.mockRejectedValue(sweepError(code));
+    mockGetRun.mockResolvedValue(null);
     const res = await get(`/x?version=1`, runId);
     expect(res.status).toBe(status);
   });
 
+  it('serves a stored run when its GitHub refresh fails', async () => {
+    vi.spyOn(console, 'error').mockImplementation(() => {});
+    mockEnsureRun.mockRejectedValue(sweepError('unavailable'));
+
+    const res = await get(`/x?version=1`, runId);
+
+    expect(res.status).toBe(200);
+    expect(await res.json()).toEqual(dataset);
+  });
+
   it('returns 404 when the run is absent after a clean ensure', async () => {
     mockGetRun.mockResolvedValue(null);
     const res = await get(`/x?version=1`, runId);
diff --git a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
index 682f28295..e8150c1fb 100644
--- a/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
+++ b/packages/app/src/app/api/v1/collectivex/runs/[runId]/route.ts
@@ -50,12 +50,31 @@ export async function GET(request: NextRequest, context: { params: Promise<{ run
     return cachedJson(loadFixture<CollectiveXDataset>(`collectivex-run-${runId}`));
   }
 
+  let ensureError: unknown = null;
   try {
     await ensureCollectiveXRun(version, runId);
+  } catch (error) {
+    ensureError = error;
+  }
+
+  try {
     const row = await getCollectiveXRun(getCollectiveXDb(), version, runId);
     if (row === null) {
+      if (ensureError) {
+        const status = collectiveXSweepErrorStatus(ensureError);
+        if (status !== null) {
+          return NextResponse.json(
+            { error: status === 404 ? 'Not found' : 'Unavailable' },
+            { status },
+          );
+        }
+        throw ensureError;
+      }
       return NextResponse.json({ error: 'Not found' }, { status: 404 });
     }
+    if (ensureError) {
+      console.error('CollectiveX run refresh failed; serving stored run:', ensureError);
+    }
     // Short window like the sibling routes: a GitHub re-run of failed shards
     // refreshes this run's stored contents, and deletion must not linger.
     return cachedJson(collectiveXDatasetFromRow(row), {
@@ -63,10 +82,6 @@ export async function GET(request: NextRequest, context: { params: Promise<{ run
       cacheControl: COLLECTIVEX_CACHE_CONTROL,
     });
   } catch (error) {
-    const status = collectiveXSweepErrorStatus(error);
-    if (status !== null) {
-      return NextResponse.json({ error: status === 404 ? 'Not found' : 'Unavailable' }, { status });
-    }
     console.error('Error fetching CollectiveX run:', error);
     return NextResponse.json({ error: 'Internal server error' }, { status: 500 });
   }
diff --git a/packages/app/src/app/api/v1/collectivex/runs/route.test.ts b/packages/app/src/app/api/v1/collectivex/runs/route.test.ts
index a15f6148f..1ba1cd1d4 100644
--- a/packages/app/src/app/api/v1/collectivex/runs/route.test.ts
+++ b/packages/app/src/app/api/v1/collectivex/runs/route.test.ts
@@ -3,10 +3,11 @@ import { beforeEach, describe, expect, it, vi } from 'vitest';
 import { buildRunSummary } from '@semianalysisai/inferencex-db/collectivex/reader';
 import { makeCollectiveXDataset } from '@semianalysisai/inferencex-db/collectivex/test-fixture';
 
-const { mockList, mockGetDb, mockEnsureList } = vi.hoisted(() => ({
+const { mockList, mockGetDb, mockEnsureList, mockCachedJson } = vi.hoisted(() => ({
   mockList: vi.fn(),
   mockGetDb: vi.fn(() => 'mock-sql'),
   mockEnsureList: vi.fn(),
+  mockCachedJson: vi.fn((data: unknown) => Response.json(data)),
 }));
 
 vi.mock('@semianalysisai/inferencex-db/connection', () => ({
@@ -32,7 +33,7 @@ vi.mock('@/lib/collectivex-lazy-ingest', () => ({
 vi.mock('@/lib/api-cache', () => ({
   COLLECTIVEX_CACHE_SCOPE: 'collectivex',
   COLLECTIVEX_CACHE_CONTROL: 'public, max-age=0, s-maxage=60',
-  cachedJson: (data: unknown) => Response.json(data),
+  cachedJson: mockCachedJson,
   collectiveXCacheTag: () => 'collectivex',
 }));
 
@@ -53,7 +54,7 @@ const summary = buildRunSummary(makeCollectiveXDataset());
 beforeEach(() => {
   vi.clearAllMocks();
   vi.spyOn(console, 'error').mockImplementation(() => {});
-  mockEnsureList.mockResolvedValue(undefined);
+  mockEnsureList.mockResolvedValue(true);
   mockList.mockResolvedValue([summary]);
 });
 
@@ -69,16 +70,41 @@ describe('GET /api/v1/collectivex/runs', () => {
   it('backfills recent runs then lists stored summaries newest first', async () => {
     const res = await GET(req('/api/v1/collectivex/runs?version=1'));
     expect(res.status).toBe(200);
-    expect(await res.json()).toEqual({ version: 1, runs: [summary] });
+    expect(await res.json()).toEqual({
+      version: 1,
+      runs: [summary],
+      discovery_complete: true,
+    });
     expect(mockEnsureList).toHaveBeenCalledWith(1);
     expect(mockList).toHaveBeenCalledWith('mock-sql', 1);
   });
 
+  it('marks the list incomplete when another bounded discovery pass is needed', async () => {
+    mockEnsureList.mockResolvedValue(false);
+
+    const res = await GET(req('/api/v1/collectivex/runs?version=1'));
+
+    expect(res.status).toBe(200);
+    expect(await res.json()).toEqual({
+      version: 1,
+      runs: [summary],
+      discovery_complete: false,
+    });
+    expect(mockCachedJson).toHaveBeenCalledWith(
+      expect.anything(),
+      expect.objectContaining({ cacheControl: 'private, no-store' }),
+    );
+  });
+
   it('serves the stored list when the GitHub backfill fails', async () => {
     mockEnsureList.mockRejectedValue(sweepError('unavailable'));
     const res = await GET(req('/api/v1/collectivex/runs?version=1'));
     expect(res.status).toBe(200);
-    expect(await res.json()).toEqual({ version: 1, runs: [summary] });
+    expect(await res.json()).toEqual({
+      version: 1,
+      runs: [summary],
+      discovery_complete: true,
+    });
   });
 
   it('returns 503 when the backfill fails and nothing is stored', async () => {
@@ -92,7 +118,7 @@ describe('GET /api/v1/collectivex/runs', () => {
     mockList.mockResolvedValue([]);
     const res = await GET(req('/api/v1/collectivex/runs?version=1'));
     expect(res.status).toBe(200);
-    expect(await res.json()).toEqual({ version: 1, runs: [] });
+    expect(await res.json()).toEqual({ version: 1, runs: [], discovery_complete: true });
   });
 
   it('returns 500 without leaking details on DB failure', async () => {
diff --git a/packages/app/src/app/api/v1/collectivex/runs/route.ts b/packages/app/src/app/api/v1/collectivex/runs/route.ts
index ea3e9edd3..71d3d2b6d 100644
--- a/packages/app/src/app/api/v1/collectivex/runs/route.ts
+++ b/packages/app/src/app/api/v1/collectivex/runs/route.ts
@@ -14,6 +14,8 @@ import { loadFixture } from '@/lib/test-fixtures';
 export const dynamic = 'force-dynamic';
 export const runtime = 'nodejs';
 
+const DISCOVERY_CACHE_CONTROL = 'private, no-store';
+
 export async function GET(request: NextRequest) {
   const version = parseCollectiveXVersion(request.nextUrl.searchParams.get('version') ?? '');
   if (!version) {
@@ -24,8 +26,9 @@ export async function GET(request: NextRequest) {
   // Backfill failures must not take the run table down — serve the stored list
   // and only surface the error when there is nothing at all to show.
   let ensureError: unknown = null;
+  let discoveryComplete = true;
   try {
-    await ensureCollectiveXRunsList(version);
+    discoveryComplete = await ensureCollectiveXRunsList(version);
   } catch (error) {
     ensureError = error;
   }
@@ -41,8 +44,11 @@ export async function GET(request: NextRequest) {
       console.error('CollectiveX run backfill failed; serving stored list:', ensureError);
     }
     return cachedJson(
-      { version, runs },
-      { tag: collectiveXCacheTag(), cacheControl: COLLECTIVEX_CACHE_CONTROL },
+      { version, runs, discovery_complete: discoveryComplete },
+      {
+        tag: collectiveXCacheTag(),
+        cacheControl: discoveryComplete ? COLLECTIVEX_CACHE_CONTROL : DISCOVERY_CACHE_CONTROL,
+      },
     );
   } catch (error) {
     console.error('Error listing CollectiveX runs:', error);
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index cbcf7e6bd..a9bddcb88 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -314,7 +314,7 @@ export default function CollectiveXDisplay() {
   const [visibleRunIds, setVisibleRunIds] = useState<Set<string>>(new Set());
   const initializedVersionRef = useRef<CollectiveXVersion | null>(null);
   const runsQuery = useCollectiveXRuns(version);
-  const runList = runsQuery.data ?? [];
+  const runList = runsQuery.data?.runs ?? [];
   const orderedVisibleRunIds = useMemo(
     () => runList.filter((run) => visibleRunIds.has(run.run_id)).map((run) => run.run_id),
     [runList, visibleRunIds],
@@ -385,7 +385,8 @@ export default function CollectiveXDisplay() {
 
   useEffect(() => {
     if (!runsQuery.data || initializedVersionRef.current === version) return;
-    const initial = runsQuery.data.find((run) => run.measured_cases > 0) ?? runsQuery.data[0];
+    const initial =
+      runsQuery.data.runs.find((run) => run.measured_cases > 0) ?? runsQuery.data.runs[0];
     setVisibleRunIds(initial ? new Set([initial.run_id]) : new Set());
     initializedVersionRef.current = version;
   }, [runsQuery.data, version]);
@@ -394,7 +395,7 @@ export default function CollectiveXDisplay() {
   // list refetch. Preserve deliberate "none checked" state.
   useEffect(() => {
     if (!runsQuery.data || initializedVersionRef.current !== version) return;
-    const liveIds = new Set(runsQuery.data.map((run) => run.run_id));
+    const liveIds = new Set(runsQuery.data.runs.map((run) => run.run_id));
     setVisibleRunIds((previous) => {
       const next = new Set([...previous].filter((runId) => liveIds.has(runId)));
       return next.size === previous.size ? previous : next;
@@ -547,7 +548,7 @@ export default function CollectiveXDisplay() {
         color: colors[collectiveXColorKey(item)] ?? 'var(--muted-foreground)',
         lineDasharray: collectiveXRunDasharray(item.run_index),
         isActive: activeSeriesIds.has(item.series_id),
-        title: `EP${item.system.ep_size} · ${collectiveXTopologyLabel(item.system)}`,
+        title: `#${item.run_id} · EP${item.system.ep_size} · ${collectiveXTopologyLabel(item.system)}`,
         onClick: () => {
           setActiveSeriesIds((previous) => {
             const next = new Set(previous);
@@ -625,7 +626,10 @@ export default function CollectiveXDisplay() {
               testId="collectivex-error-version-select"
               value={version}
               options={versionOptions}
-              onChange={setVersion}
+              onChange={(value) => {
+                setVersion(value);
+                track('collectivex_version_changed', { version: value });
+              }}
             />
           </div>
           <Button variant="outline" onClick={handleRefresh}>
@@ -807,11 +811,12 @@ export default function CollectiveXDisplay() {
                   variant="sidebar"
                   legendItems={legendItems}
                   disableActiveSort
-                  onItemRemove={(id) =>
+                  onItemRemove={(id) => {
                     setActiveSeriesIds(
                       (previous) => new Set([...previous].filter((item) => item !== id)),
-                    )
-                  }
+                    );
+                    track('collectivex_series_toggled', { series: id, visible: false });
+                  }}
                   isLegendExpanded={legendExpanded}
                   onExpandedChange={setLegendExpanded}
                   actions={
@@ -820,10 +825,12 @@ export default function CollectiveXDisplay() {
                           {
                             id: 'collectivex-reset-filter',
                             label: t.resetFilter,
-                            onClick: () =>
+                            onClick: () => {
                               setActiveSeriesIds(
                                 new Set(phaseSeries.map((item) => item.series_id)),
-                              ),
+                              );
+                              track('collectivex_series_filter_reset');
+                            },
                           },
                         ]
                       : []
@@ -861,13 +868,17 @@ export default function CollectiveXDisplay() {
                 onChange={(next) => {
                   setOperation(next);
                   if (next !== 'roundtrip' && yAxis === 'tokens-per-second') setYAxis('latency');
+                  track('collectivex_operation_changed', { operation: next });
                 }}
               />
               <ControlGroup label={t.phaseControl}>
                 <SegmentedToggle
                   value={phase}
                   options={phaseOptions}
-                  onValueChange={setPhase}
+                  onValueChange={(next) => {
+                    setPhase(next);
+                    track('collectivex_phase_changed', { phase: next });
+                  }}
                   ariaLabel={t.phaseAria}
                   testId="collectivex-phase-toggle"
                 />
@@ -902,7 +913,10 @@ export default function CollectiveXDisplay() {
                 <SegmentedToggle
                   value={percentile}
                   options={PERCENTILE_OPTIONS}
-                  onValueChange={setPercentile}
+                  onValueChange={(next) => {
+                    setPercentile(next);
+                    track('collectivex_percentile_changed', { percentile: next });
+                  }}
                   ariaLabel={t.percentileAria}
                   testId="collectivex-percentile-toggle"
                 />
@@ -912,20 +926,29 @@ export default function CollectiveXDisplay() {
                 testId="collectivex-sku-select"
                 value={sku}
                 options={selectOptions(skuOptions, t.all, true)}
-                onChange={setSku}
+                onChange={(next) => {
+                  setSku(next);
+                  track('collectivex_sku_changed', { sku: next });
+                }}
               />
               <SelectControl
                 label={t.backend}
                 testId="collectivex-backend-select"
                 value={backend}
                 options={selectOptions(backendOptions, t.all)}
-                onChange={setBackend}
+                onChange={(next) => {
+                  setBackend(next);
+                  track('collectivex_backend_changed', { backend: next });
+                }}
               />
               <SelectControl
                 label={t.yAxisControl}
                 testId="collectivex-y-axis-select"
                 value={yAxis}
-                onChange={setYAxis}
+                onChange={(next) => {
+                  setYAxis(next);
+                  track('collectivex_y_axis_changed', { y_axis: next });
+                }}
                 options={[
                   { value: 'latency', label: t.yAxis.latency },
                   ...(operation === 'roundtrip'
diff --git a/packages/app/src/components/collectivex/data.test.ts b/packages/app/src/components/collectivex/data.test.ts
index a64a2507e..2e0ad4719 100644
--- a/packages/app/src/components/collectivex/data.test.ts
+++ b/packages/app/src/components/collectivex/data.test.ts
@@ -134,6 +134,12 @@ describe('collectiveXRunDasharray', () => {
     expect(collectiveXRunDasharray(-1)).toBe('none');
     expect(collectiveXRunDasharray(1.9)).toBe('9 4');
   });
+
+  it('does not repeat styles after the base six patterns', () => {
+    expect(collectiveXRunDasharray(6)).not.toBe(collectiveXRunDasharray(0));
+    expect(collectiveXRunDasharray(12)).not.toBe(collectiveXRunDasharray(6));
+    expect(collectiveXRunDasharray(55)).not.toBe(collectiveXRunDasharray(6));
+  });
 });
 
 describe('seriesMatchesSelection', () => {
diff --git a/packages/app/src/components/collectivex/data.ts b/packages/app/src/components/collectivex/data.ts
index acd18b9d8..1b3cc6aeb 100644
--- a/packages/app/src/components/collectivex/data.ts
+++ b/packages/app/src/components/collectivex/data.ts
@@ -19,12 +19,22 @@ export interface CollectiveXSeriesSelection {
   precision: CollectiveXPrecision;
 }
 
-const RUN_DASHARRAYS = ['none', '9 4', '3 3', '10 3 2 3', '2 3', '12 3 2 3'] as const;
+const BASE_RUN_DASHARRAYS = ['none', '9 4', '3 3', '10 3 2 3', '2 3', '12 3 2 3'] as const;
 
-/** Stable within the newest-first run table; patterns repeat only after six runs. */
+/**
+ * Stable within the newest-first run table. Preserve the six simple patterns,
+ * then encode higher indexes as a unique dash/gap/accent tuple so two listed
+ * runs never become visually identical merely because their indexes differ by
+ * six.
+ */
 export function collectiveXRunDasharray(runIndex: number): string {
-  const normalized = Math.max(0, Math.trunc(runIndex)) % RUN_DASHARRAYS.length;
-  return RUN_DASHARRAYS[normalized];
+  const normalized = Math.max(0, Math.trunc(runIndex));
+  if (normalized < BASE_RUN_DASHARRAYS.length) return BASE_RUN_DASHARRAYS[normalized];
+  const encoded = normalized - BASE_RUN_DASHARRAYS.length;
+  const dash = 4 + (encoded % 7);
+  const gap = 3 + (Math.floor(encoded / 7) % 7);
+  const accent = 1 + Math.floor(encoded / 49);
+  return `${dash} 3 ${accent} ${gap}`;
 }
 
 export function collectiveXTopologyLabel(
@@ -103,7 +113,7 @@ export function metricValue(
   return component.activation_data_rate_gbps_at_latency_percentile?.[percentile] ?? null;
 }
 
-export interface CollectiveXFit {
+interface CollectiveXFit {
   /** Fixed per-call overhead (µs): the launch/sync/rendezvous floor. */
   alphaUs: number;
   /** Per-GPU bandwidth term (GB/s): the slope of latency vs bytes. */
diff --git a/packages/app/src/hooks/api/use-collectivex.ts b/packages/app/src/hooks/api/use-collectivex.ts
index c3d9603ed..30792ea31 100644
--- a/packages/app/src/hooks/api/use-collectivex.ts
+++ b/packages/app/src/hooks/api/use-collectivex.ts
@@ -1,30 +1,15 @@
 import { useMutation, useQueries, useQuery, useQueryClient } from '@tanstack/react-query';
 
-import {
-  deleteCollectiveXRun,
-  fetchCollectiveX,
-  fetchCollectiveXRun,
-  fetchCollectiveXRunList,
-} from '@/lib/api';
+import { deleteCollectiveXRun, fetchCollectiveXRun, fetchCollectiveXRunList } from '@/lib/api';
 import {
   COLLECTIVEX_DEFAULT_VERSION,
   type CollectiveXVersion,
 } from '@/components/collectivex/types';
 
-/** Latest ingested run's neutral dataset — the default page view. */
-export function useCollectiveX(version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION) {
-  return useQuery({
-    queryKey: ['collectivex', version],
-    queryFn: ({ signal }) => fetchCollectiveX(signal, version),
-    staleTime: 0,
-    refetchOnMount: 'always',
-  });
-}
-
 /**
- * Every ingested run summary for a version, backing the always-visible run
- * table. Refetched on mount so the table reflects newly ingested runs without
- * a hard reload.
+ * Every stored run summary for a version. While the server reports an
+ * incomplete discovery pass, keep refetching the uncached endpoint so bounded
+ * ingest batches progressively fill the table.
  */
 export function useCollectiveXRuns(version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION) {
   return useQuery({
@@ -32,20 +17,7 @@ export function useCollectiveXRuns(version: CollectiveXVersion = COLLECTIVEX_DEF
     queryFn: ({ signal }) => fetchCollectiveXRunList(version, signal),
     staleTime: 0,
     refetchOnMount: 'always',
-  });
-}
-
-/**
- * Resolve one selected run's neutral dataset by run_id. Kept as the focused
- * single-run hook for callers that do not need the multi-run table.
- */
-export function useCollectiveXRun(version: CollectiveXVersion, runId: string | null) {
-  return useQuery({
-    queryKey: ['collectivex-run', version, runId],
-    queryFn: ({ signal }) => fetchCollectiveXRun(version, runId!, signal),
-    enabled: runId !== null,
-    staleTime: 0,
-    refetchOnMount: 'always',
+    refetchInterval: (query) => (query.state.data?.discovery_complete === false ? 1_000 : false),
   });
 }
 
@@ -64,7 +36,7 @@ export function useCollectiveXRunDatasets(version: CollectiveXVersion, runIds: r
 /**
  * Admin deletion of an ingested run. Resolves `false` on 401 (stale token —
  * the caller clears its stored copy); on success every CollectiveX query is
- * invalidated so the latest view and run table drop the run immediately.
+ * invalidated so the run table and selected datasets drop it immediately.
  */
 export function useDeleteCollectiveXRun() {
   const queryClient = useQueryClient();
@@ -73,7 +45,7 @@ export function useDeleteCollectiveXRun() {
       deleteCollectiveXRun(runId, token),
     onSuccess: (deleted) => {
       if (!deleted) return;
-      for (const key of ['collectivex', 'collectivex-runs', 'collectivex-run']) {
+      for (const key of ['collectivex-runs', 'collectivex-run']) {
         void queryClient.invalidateQueries({ queryKey: [key] });
       }
     },
diff --git a/packages/app/src/lib/api.test.ts b/packages/app/src/lib/api.test.ts
index fc9e0552d..abf899168 100644
--- a/packages/app/src/lib/api.test.ts
+++ b/packages/app/src/lib/api.test.ts
@@ -5,7 +5,6 @@ import {
   fetchWorkflowInfo,
   fetchAvailability,
   deleteCollectiveXRun,
-  fetchCollectiveX,
   fetchCollectiveXRun,
   fetchCollectiveXRunList,
   fetchReliability,
@@ -143,19 +142,6 @@ describe('CollectiveX API', () => {
     });
   }
 
-  it('fetches the latest run dataset', async () => {
-    mockJson(dataset);
-
-    const result = await fetchCollectiveX();
-
-    expect(mockFetch).toHaveBeenCalledWith(
-      '/api/v1/collectivex/latest?version=1',
-      expect.objectContaining({}),
-    );
-    expect(result.version).toBe(1);
-    expect(result.run.run_id).toBe(dataset.run.run_id);
-  });
-
   it('fetches a specific run by id', async () => {
     mockJson(dataset);
 
@@ -169,16 +155,17 @@ describe('CollectiveX API', () => {
   });
 
   it('fetches the run list', async () => {
-    mockJson({ version: 1, runs: [buildRunSummary(dataset)] });
+    mockJson({ version: 1, runs: [buildRunSummary(dataset)], discovery_complete: true });
 
-    const runs = await fetchCollectiveXRunList(1);
+    const response = await fetchCollectiveXRunList(1);
 
     expect(mockFetch).toHaveBeenCalledWith(
       '/api/v1/collectivex/runs?version=1',
       expect.objectContaining({}),
     );
-    expect(runs).toHaveLength(1);
-    expect(runs[0].run_id).toBe(dataset.run.run_id);
+    expect(response.discovery_complete).toBe(true);
+    expect(response.runs).toHaveLength(1);
+    expect(response.runs[0].run_id).toBe(dataset.run.run_id);
   });
 
   it('sends the bearer token on delete and reports success', async () => {
diff --git a/packages/app/src/lib/api.ts b/packages/app/src/lib/api.ts
index a6a9915d2..9b7930e97 100644
--- a/packages/app/src/lib/api.ts
+++ b/packages/app/src/lib/api.ts
@@ -310,23 +310,16 @@ export function fetchSubmissions(signal?: AbortSignal) {
   return fetchJson<SubmissionsResponse>('/api/v1/submissions', signal);
 }
 
-/** Latest ingested sweep run's neutral view dataset (default page view). */
-export function fetchCollectiveX(
-  signal?: AbortSignal,
-  version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
-) {
-  return fetchJson<CollectiveXDataset>(`/api/v1/collectivex/latest?version=${version}`, signal);
-}
-
-/** Ingested sweep runs for the run picker, keyed by run_id + attempt. */
+/** Stored sweep runs plus whether lazy discovery has reached the end of history. */
 export function fetchCollectiveXRunList(
   version: CollectiveXVersion = COLLECTIVEX_DEFAULT_VERSION,
   signal?: AbortSignal,
 ) {
-  return fetchJson<{ runs: CollectiveXRunSummary[] }>(
-    `/api/v1/collectivex/runs?version=${version}`,
-    signal,
-  ).then(({ runs }) => runs);
+  return fetchJson<{
+    version: CollectiveXVersion;
+    runs: CollectiveXRunSummary[];
+    discovery_complete: boolean;
+  }>(`/api/v1/collectivex/runs?version=${version}`, signal);
 }
 
 /** Resolve a specific ingested sweep run's neutral view dataset by run_id. */
diff --git a/packages/app/src/lib/collectivex-lazy-ingest.test.ts b/packages/app/src/lib/collectivex-lazy-ingest.test.ts
index 44dafb338..80bf3aba5 100644
--- a/packages/app/src/lib/collectivex-lazy-ingest.test.ts
+++ b/packages/app/src/lib/collectivex-lazy-ingest.test.ts
@@ -75,6 +75,7 @@ function zipDocs(...docs: unknown[]): ArrayBuffer {
 const matrixZip = zipDocs(matrix);
 const matrixZipV2 = zipDocs(matrixV2);
 const shardZip = zipDocs(shardA, shardB);
+const shardZipV2 = zipDocs({ ...shardA, version: 2 }, { ...shardB, version: 2 });
 
 function runObject(overrides: Record<string, unknown> = {}) {
   return {
@@ -87,7 +88,7 @@ function runObject(overrides: Record<string, unknown> = {}) {
     status: 'completed',
     conclusion: 'success',
     run_attempt: 1,
-    updated_at: '2026-07-08T12:20:00Z',
+    updated_at: new Date().toISOString(),
     ...overrides,
   };
 }
@@ -196,15 +197,16 @@ describe('ensureLatestCollectiveXRun', () => {
       // Run 161 carries a v2 matrix — requesting v1 must move on.
       .mockResolvedValueOnce(Response.json(artifactsBody(161)))
       .mockResolvedValueOnce(new Response(matrixZipV2))
+      .mockResolvedValueOnce(new Response(shardZipV2))
       .mockResolvedValueOnce(Response.json(artifactsBody()))
       .mockResolvedValueOnce(new Response(matrixZip))
       .mockResolvedValueOnce(new Response(shardZip));
 
     await ensureLatestCollectiveXRun(1);
 
-    expect(mockInsert).toHaveBeenCalledTimes(1);
-    expect(mockInsert.mock.calls[0][1].version).toBe(1);
-    expect(mockInsert.mock.calls[0][1].run_id).toBe('160');
+    expect(mockInsert).toHaveBeenCalledTimes(2);
+    expect(mockInsert.mock.calls[0][1]).toMatchObject({ version: 2, run_id: '161' });
+    expect(mockInsert.mock.calls[1][1]).toMatchObject({ version: 1, run_id: '160' });
   });
 
   it('refreshes a live run when GitHub reports a newer attempt', async () => {
@@ -335,23 +337,64 @@ describe('discovery cooldown', () => {
 });
 
 describe('ensureCollectiveXRunsList', () => {
-  it('backfills absent recent runs and counts live ones toward the cap', async () => {
+  it('does not probe artifacts for unknown runs beyond the retention window', async () => {
+    mockFetch.mockResolvedValueOnce(runListing(runObject({ updated_at: '2020-01-01T00:00:00Z' })));
+
+    await expect(ensureCollectiveXRunsList(1)).resolves.toBe(true);
+
+    expect(mockFetch).toHaveBeenCalledTimes(1);
+    expect(mockGetStates).not.toHaveBeenCalled();
+    expect(mockInsert).not.toHaveBeenCalled();
+  });
+
+  it('continues past more than eight known rows to backfill an older run', async () => {
+    const runs = Array.from({ length: 10 }, (_unused, index) => runObject({ id: 169 - index }));
     mockGetStates.mockImplementation((_sql: unknown, ids: string[]) =>
       Promise.resolve(
-        ids[0] === '161' ? { '161': { state: 'live', version: 1, run_attempt: 1 } } : {},
+        ids[0] === '160' ? {} : { [ids[0]]: { state: 'live', version: 1, run_attempt: 1 } },
       ),
     );
+    mockFetch
+      .mockResolvedValueOnce(runListing(...runs))
+      .mockResolvedValueOnce(Response.json(artifactsBody()))
+      .mockResolvedValueOnce(new Response(matrixZip))
+      .mockResolvedValueOnce(new Response(shardZip));
+
+    const complete = await ensureCollectiveXRunsList(1);
+
+    expect(complete).toBe(true);
+    expect(mockInsert).toHaveBeenCalledTimes(1);
+    expect(mockInsert.mock.calls[0][1].run_id).toBe('160');
+  });
+
+  it('continues past one malformed run instead of hiding later valid runs', async () => {
     mockFetch
       .mockResolvedValueOnce(twoRunListing())
+      .mockResolvedValueOnce(Response.json(artifactsBody(161)))
+      .mockResolvedValueOnce(new Response(zipDocs({ record_type: 'samples' })))
       .mockResolvedValueOnce(Response.json(artifactsBody()))
       .mockResolvedValueOnce(new Response(matrixZip))
       .mockResolvedValueOnce(new Response(shardZip));
 
-    await ensureCollectiveXRunsList(1);
+    await expect(ensureCollectiveXRunsList(1)).resolves.toBe(true);
 
     expect(mockInsert).toHaveBeenCalledTimes(1);
     expect(mockInsert.mock.calls[0][1].run_id).toBe('160');
   });
+
+  it('reports an incomplete pass after changing eight runs', async () => {
+    const runs = Array.from({ length: 8 }, (_unused, index) => runObject({ id: 167 - index }));
+    mockFetch.mockResolvedValueOnce(runListing(...runs));
+    for (const run of runs) {
+      mockFetch
+        .mockResolvedValueOnce(Response.json(artifactsBody(run.id)))
+        .mockResolvedValueOnce(new Response(matrixZip))
+        .mockResolvedValueOnce(new Response(shardZip));
+    }
+
+    await expect(ensureCollectiveXRunsList(1)).resolves.toBe(false);
+    expect(mockInsert).toHaveBeenCalledTimes(8);
+  });
 });
 
 describe('ensureCollectiveXRun', () => {
@@ -362,11 +405,29 @@ describe('ensureCollectiveXRun', () => {
     expect(mockFetch).not.toHaveBeenCalled();
   });
 
-  it('returns immediately for live matching runs', async () => {
+  it('checks the GitHub attempt for a live matching run without downloading artifacts', async () => {
     mockGetStates.mockResolvedValue({ '160': { state: 'live', version: 1, run_attempt: 1 } });
+    mockFetch.mockResolvedValueOnce(Response.json(runObject()));
+
     await ensureCollectiveXRun(1, '160');
-    expect(mockFetch).not.toHaveBeenCalled();
+
+    expect(mockFetch).toHaveBeenCalledTimes(1);
     expect(mockInsert).not.toHaveBeenCalled();
+    expect(mockRefresh).not.toHaveBeenCalled();
+  });
+
+  it('refreshes a live matching run when GitHub has a newer attempt', async () => {
+    mockGetStates.mockResolvedValue({ '160': { state: 'live', version: 1, run_attempt: 1 } });
+    mockFetch
+      .mockResolvedValueOnce(Response.json(runObject({ run_attempt: 2 })))
+      .mockResolvedValueOnce(Response.json(artifactsBody(160, 2)))
+      .mockResolvedValueOnce(new Response(matrixZip))
+      .mockResolvedValueOnce(new Response(shardZip));
+
+    await ensureCollectiveXRun(1, '160');
+
+    expect(mockRefresh).toHaveBeenCalledTimes(1);
+    expect(mockRefresh.mock.calls[0][1]).toMatchObject({ run_id: '160', run_attempt: 2 });
   });
 
   it('persists an absent run fetched by id', async () => {
diff --git a/packages/app/src/lib/collectivex-lazy-ingest.ts b/packages/app/src/lib/collectivex-lazy-ingest.ts
index 96f2b6cb1..08da7224e 100644
--- a/packages/app/src/lib/collectivex-lazy-ingest.ts
+++ b/packages/app/src/lib/collectivex-lazy-ingest.ts
@@ -49,9 +49,13 @@ const MAX_RUN_BYTES = 256 * 1024 * 1024;
 const REQUEST_TIMEOUT_MS = 30_000;
 const MAX_REQUEST_ATTEMPTS = 3;
 const RETRYABLE_STATUSES = new Set([408, 429, 500, 502, 503, 504]);
-// The run-table backfill ingests at most this many recent runs per pass; each
-// costs one artifact-bundle download, and only once — afterwards they're rows.
-const MAX_DISCOVERED_RUNS = 8;
+// The workflow retains artifacts for 14 days. Older runs already persisted in
+// the DB remain visible, but unknown runs beyond this window cannot be
+// assembled and need not spend one GitHub artifact-list request apiece.
+const ARTIFACT_RETENTION_MS = 14 * 24 * 60 * 60 * 1000;
+// Bound one origin request's work. The runs route reports whether discovery is
+// complete, and the client refetches while more ingestible runs remain.
+const MAX_CHANGED_RUNS_PER_PASS = 8;
 
 type SweepErrorCode = 'invalid' | 'not-found' | 'unavailable';
 
@@ -101,26 +105,20 @@ export function collectiveXSweepErrorStatus(error: unknown): 404 | 502 | 503 | n
 }
 
 // Concurrent requests for the same target share one discovery pass.
-const inFlight = new Map<string, Promise<void>>();
+const inFlight = new Map<string, Promise<unknown>>();
 
-function dedupe(key: string, work: () => Promise<void>): Promise<void> {
-  const existing = inFlight.get(key);
+function dedupe<T>(key: string, work: () => Promise<T>): Promise<T> {
+  const existing = inFlight.get(key) as Promise<T> | undefined;
   if (existing) return existing;
   const promise = work().finally(() => inFlight.delete(key));
   inFlight.set(key, promise);
   return promise;
 }
 
-// Cooldown for the two walking paths. The DB is the durable cache, but sharing
-// only the in-flight promise still left every read walking GitHub: the routes
-// are force-dynamic and call ensure* per request, so even a fully warm page
-// spent a `list workflow runs` call just to conclude "already known" — GitHub
-// latency on every response, and rate-limit burn that scales with traffic
-// rather than with how often a sweep actually lands.
-//
-// Only `latest:`/`list:` need this. ensureCollectiveXRun returns on a DB hit
-// before it touches GitHub, and throttling it would keep answering 404 for a
-// run that has just appeared.
+// Cooldown for the latest-run walk. The DB is the durable cache, but sharing
+// only the in-flight promise still left every latest read walking GitHub. The
+// runs-list path is intentionally not throttled while incomplete: its response
+// is uncached and the client requests the next bounded discovery batch.
 //
 // Failures are remembered too, and rethrown for the rest of their (shorter)
 // window: swallowing them would let a GitHub outage read as "discovery fine,
@@ -225,6 +223,11 @@ function runGeneratedAt(run: WorkflowRun): string {
   return run.updated_at || run.run_started_at || run.created_at || '';
 }
 
+function artifactsMayBeAvailable(run: WorkflowRun): boolean {
+  const timestamp = Date.parse(runGeneratedAt(run));
+  return !Number.isFinite(timestamp) || Date.now() - timestamp <= ARTIFACT_RETENTION_MS;
+}
+
 // Newest-first stream of completed sweep runs across all branches.
 async function* sweepRuns(token: string): AsyncGenerator<WorkflowRun> {
   let page = 1;
@@ -468,29 +471,36 @@ async function matrixCandidateFor(
  * Handle one discovery candidate — the single walker step shared by the
  * latest and runs-list paths: persist absent requested-version runs, refresh
  * live ones whose GitHub attempt is newer (re-run of failed shards), skip
- * everything else. Returns 'match' when the candidate is a live
- * requested-version run in the DB after this call; tombstoned runs are
- * 'skip' — they are invisible to readers and must not satisfy the walk.
+ * everything else. `changed-match` means this pass inserted or refreshed the
+ * requested version; `changed-other` means an absent run was persisted under
+ * its actual version while walking. Known live rows are `match` but do not
+ * consume the runs-list batch. Tombstoned rows are `skip`.
  */
+type CandidateResult = 'changed-match' | 'changed-other' | 'match' | 'skip';
+
 async function considerCandidate(
   run: WorkflowRun,
   version: CollectiveXVersion,
   token: string,
-): Promise<'match' | 'skip'> {
+): Promise<CandidateResult> {
   const states = await getCollectiveXRunStates(getCollectiveXDb(), [String(run.id)]);
   const known = states[String(run.id)];
   if (known) {
     if (known.version !== version || known.state !== 'live') return 'skip';
     if (run.run_attempt > known.run_attempt) {
       const candidate = await matrixCandidateFor(run, version, token);
-      if (candidate) await persistRun(run, candidate, token, true);
+      if (candidate) {
+        await persistRun(run, candidate, token, true);
+        return 'changed-match';
+      }
     }
     return 'match';
   }
-  const candidate = await matrixCandidateFor(run, version, token);
-  if (!candidate) return 'skip';
+  const artifacts = await listArtifacts(run.id, token);
+  if (!hasMatrixArtifact(artifacts, run)) return 'skip';
+  const candidate = await loadMatrixCandidate(artifacts, token, run);
   await persistRun(run, candidate, token);
-  return 'match';
+  return candidate.version === version ? 'changed-match' : 'changed-other';
 }
 
 /**
@@ -505,30 +515,45 @@ export function ensureLatestCollectiveXRun(version: CollectiveXVersion): Promise
     throttled(key, async () => {
       const token = requireToken();
       for await (const run of sweepRuns(token)) {
-        if ((await considerCandidate(run, version, token)) === 'match') return;
+        const result = await considerCandidate(run, version, token);
+        if (result === 'match' || result === 'changed-match') return;
       }
     }),
   );
 }
 
 /**
- * Backfill up to MAX_DISCOVERED_RUNS recent requested-version runs into the
- * DB so the run table lists recent sweeps even before anyone viewed them. Only
- * live matches count toward the cap — tombstoned runs never fill a slot.
+ * Progressively backfill every requested-version run whose artifacts may
+ * still be available. Known live rows do not consume the per-request batch,
+ * so successive calls advance through the workflow history instead of
+ * revisiting the same newest rows forever.
+ *
+ * Returns true once the current GitHub history has been exhausted, or false
+ * when this pass stopped at the mutation budget and the caller should refetch.
  */
-export function ensureCollectiveXRunsList(version: CollectiveXVersion): Promise<void> {
+export function ensureCollectiveXRunsList(version: CollectiveXVersion): Promise<boolean> {
   const key = `list:${version}`;
-  return dedupe(
-    key,
-    throttled(key, async () => {
-      const token = requireToken();
-      let matched = 0;
-      for await (const run of sweepRuns(token)) {
-        if ((await considerCandidate(run, version, token)) === 'match') matched += 1;
-        if (matched >= MAX_DISCOVERED_RUNS) return;
+  return dedupe(key, async () => {
+    const token = requireToken();
+    let changed = 0;
+    for await (const run of sweepRuns(token)) {
+      if (!artifactsMayBeAvailable(run)) continue;
+      let result: CandidateResult;
+      try {
+        result = await considerCandidate(run, version, token);
+      } catch (error) {
+        const code = collectiveXSweepErrorCode(error);
+        // One incomplete or malformed workflow run must not hide every valid
+        // run behind it. Network/service failures still abort so the route can
+        // serve its stored fallback and expose the outage when no fallback exists.
+        if (code === 'invalid' || code === 'not-found') continue;
+        throw error;
       }
-    }),
-  );
+      if (result === 'changed-match' || result === 'changed-other') changed += 1;
+      if (changed >= MAX_CHANGED_RUNS_PER_PASS) return false;
+    }
+    return true;
+  });
 }
 
 /**
@@ -543,9 +568,8 @@ export function ensureCollectiveXRun(version: CollectiveXVersion, runId: string)
     }
     const states = await getCollectiveXRunStates(getCollectiveXDb(), [runId]);
     const known = states[runId];
-    if (known) {
+    if (known && (known.state !== 'live' || known.version !== version)) {
       // Tombstoned or cross-version rows both read as absent to the caller.
-      if (known.state === 'live' && known.version === version) return;
       throw new CollectiveXSweepError('not-found', 'run is not available');
     }
     const token = requireToken();
@@ -572,11 +596,12 @@ export function ensureCollectiveXRun(version: CollectiveXVersion, runId: string)
     if (run.status !== 'completed') {
       throw new CollectiveXSweepError('not-found', 'sweep run has not completed');
     }
+    if (known && run.run_attempt <= known.run_attempt) return;
     const artifacts = await listArtifacts(run.id, token);
     const candidate = await loadMatrixCandidate(artifacts, token, run);
     if (candidate.version !== version) {
       throw new CollectiveXSweepError('not-found', 'run does not match the requested version');
     }
-    await persistRun(run, candidate, token);
+    await persistRun(run, candidate, token, known !== undefined);
   });
 }
diff --git a/packages/db/src/collectivex/artifact-selection.ts b/packages/db/src/collectivex/artifact-selection.ts
index ed16e43ea..d01341d32 100644
--- a/packages/db/src/collectivex/artifact-selection.ts
+++ b/packages/db/src/collectivex/artifact-selection.ts
@@ -7,8 +7,8 @@
  *   cxshard-{cell}-{run_id}-{attempt}  — case-attempt documents per matrix cell
  */
 
-export const MATRIX_PREFIX = 'cxsweep-matrix-';
-export const SHARD_PREFIX = 'cxshard-';
+const MATRIX_PREFIX = 'cxsweep-matrix-';
+const SHARD_PREFIX = 'cxshard-';
 
 export function matrixArtifactName(runId: string): string {
   return `${MATRIX_PREFIX}${runId}`;
@@ -20,7 +20,7 @@ function escapeRegExp(value: string): string {
 }
 
 /** Anything nameable as a shard artifact. `id` is optional — see the tie-break below. */
-export interface ShardArtifactRef {
+interface ShardArtifactRef {
   name: string;
   /** GitHub artifact id, when the caller has one. */
   id?: number;
diff --git a/packages/db/src/collectivex/test-fixture.ts b/packages/db/src/collectivex/test-fixture.ts
index d627bb939..ccb32f6e8 100644
--- a/packages/db/src/collectivex/test-fixture.ts
+++ b/packages/db/src/collectivex/test-fixture.ts
@@ -106,7 +106,7 @@ function makeRawCase(options: ShardOverrides, caseId: string): Json {
   };
 }
 
-export function caseIdOf(options: ShardOverrides = {}): string {
+function caseIdOf(options: ShardOverrides = {}): string {
   if (options.caseId) return options.caseId;
   const tail = options.variant ? `-${options.variant}` : '';
   // Pre-LL artifacts (mode: null) still carried `normal` in their case_ids.
diff --git a/packages/db/src/ingest-collectivex.ts b/packages/db/src/ingest-collectivex.ts
index b127bcedb..3cffed1e5 100644
--- a/packages/db/src/ingest-collectivex.ts
+++ b/packages/db/src/ingest-collectivex.ts
@@ -21,8 +21,8 @@
  *   (no flag)                          Read pre-downloaded artifacts from INGEST_ARTIFACTS_PATH
  *
  * Usage:
- *   pnpm admin:db:ingest:collectivex https://github.com/SemiAnalysisAI/InferenceX/actions/runs/123
- *   pnpm admin:db:ingest:collectivex 123
+ *   bun run admin:db:ingest:collectivex https://github.com/SemiAnalysisAI/InferenceX/actions/runs/123
+ *   bun run admin:db:ingest:collectivex 123
  *
  * Environment variables:
  *   DATABASE_COLLECTIVEX_WRITE_URL — Postgres connection string (direct, non-pooled)
@@ -72,7 +72,7 @@ if (isDownloadMode) {
   const args = process.argv.slice(3).filter((a) => !a.startsWith('--'));
   const input = args[0];
   if (!input) {
-    console.error('Usage: pnpm admin:db:ingest:collectivex <run-url-or-id> [repo]');
+    console.error('Usage: bun run admin:db:ingest:collectivex <run-url-or-id> [repo]');
     process.exit(1);
   }
   const match = input.match(/\/runs\/(?<runId>\d+)/u);
diff --git a/packages/db/src/migrate-collectivex.ts b/packages/db/src/migrate-collectivex.ts
index 74864009b..066dbb3d5 100644
--- a/packages/db/src/migrate-collectivex.ts
+++ b/packages/db/src/migrate-collectivex.ts
@@ -4,7 +4,7 @@
  * migrations must not go through PgBouncer's transaction pooling mode).
  *
  * Usage:
- *   pnpm admin:db:migrate:collectivex
+ *   bun run admin:db:migrate:collectivex
  */
 
 import path from 'path';
diff --git a/packages/db/src/queries/collectivex.ts b/packages/db/src/queries/collectivex.ts
index 711558ab2..effd7a979 100644
--- a/packages/db/src/queries/collectivex.ts
+++ b/packages/db/src/queries/collectivex.ts
@@ -33,9 +33,9 @@ export interface CollectiveXRunInsert {
  * deleted run keeps a tombstoned cx_runs row — otherwise the next discovery
  * pass would re-ingest it.
  */
-export type CollectiveXRunState = 'live' | 'deleted';
+type CollectiveXRunState = 'live' | 'deleted';
 
-export interface CollectiveXRunStateRow {
+interface CollectiveXRunStateRow {
   state: CollectiveXRunState;
   version: number;
   run_attempt: number;

From adde0b04cba7d9e4cab42185f03ee7261877a7f0 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 29 Jul 2026 19:11:18 +0800
Subject: [PATCH 33/37] fix(collectivex): keep discovery retrying after
 backfill errors

---
 .../app/src/app/api/v1/collectivex/runs/route.test.ts     | 8 ++++++--
 packages/app/src/app/api/v1/collectivex/runs/route.ts     | 3 ++-
 2 files changed, 8 insertions(+), 3 deletions(-)

diff --git a/packages/app/src/app/api/v1/collectivex/runs/route.test.ts b/packages/app/src/app/api/v1/collectivex/runs/route.test.ts
index 1ba1cd1d4..658d7b178 100644
--- a/packages/app/src/app/api/v1/collectivex/runs/route.test.ts
+++ b/packages/app/src/app/api/v1/collectivex/runs/route.test.ts
@@ -96,15 +96,19 @@ describe('GET /api/v1/collectivex/runs', () => {
     );
   });
 
-  it('serves the stored list when the GitHub backfill fails', async () => {
+  it('serves the stored list as incomplete when the GitHub backfill fails', async () => {
     mockEnsureList.mockRejectedValue(sweepError('unavailable'));
     const res = await GET(req('/api/v1/collectivex/runs?version=1'));
     expect(res.status).toBe(200);
     expect(await res.json()).toEqual({
       version: 1,
       runs: [summary],
-      discovery_complete: true,
+      discovery_complete: false,
     });
+    expect(mockCachedJson).toHaveBeenCalledWith(
+      expect.anything(),
+      expect.objectContaining({ cacheControl: 'private, no-store' }),
+    );
   });
 
   it('returns 503 when the backfill fails and nothing is stored', async () => {
diff --git a/packages/app/src/app/api/v1/collectivex/runs/route.ts b/packages/app/src/app/api/v1/collectivex/runs/route.ts
index 71d3d2b6d..fce3f2a2d 100644
--- a/packages/app/src/app/api/v1/collectivex/runs/route.ts
+++ b/packages/app/src/app/api/v1/collectivex/runs/route.ts
@@ -26,11 +26,12 @@ export async function GET(request: NextRequest) {
   // Backfill failures must not take the run table down — serve the stored list
   // and only surface the error when there is nothing at all to show.
   let ensureError: unknown = null;
-  let discoveryComplete = true;
+  let discoveryComplete: boolean;
   try {
     discoveryComplete = await ensureCollectiveXRunsList(version);
   } catch (error) {
     ensureError = error;
+    discoveryComplete = false;
   }
 
   try {

From e47e815de346316f822e0f8167699e31a9a84dcc Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 29 Jul 2026 19:15:43 +0800
Subject: [PATCH 34/37] fix(collectivex): label activation rate footnote
 correctly

---
 packages/app/cypress/e2e/collectivex.cy.ts                | 8 ++++++++
 .../app/src/components/collectivex/CollectiveXDisplay.tsx | 2 +-
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index 0106a3da6..dbf4a1d79 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -149,6 +149,14 @@ describe('CollectiveX neutral run view', () => {
     cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
   });
 
+  it('labels the activation-data rate footnote with the selected metric', () => {
+    cy.get('[data-testid="collectivex-y-axis-select"]').click();
+    cy.contains('[role="option"]', 'Activation-data rate').click();
+    cy.get('[data-testid="collectivex-main-chart"]')
+      .should('contain.text', 'Activation-data rate')
+      .and('not.contain.text', 'Payload rate is derived');
+  });
+
   it('exposes the kernel-mode toggle when a run measured both modes and pins the LL series', () => {
     const withLowLatency = buildDataset({
       shards: [makeRawShard(), makeRawShard({ mode: 'low-latency' })],
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index a9bddcb88..8b868b9d8 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -124,7 +124,7 @@ const STRINGS = {
     noSeries: 'No measured series match these filters.',
     resetFilter: 'Reset filter',
     payloadNote:
-      'Payload rate is derived at the selected latency percentile and is not physical link bandwidth.',
+      'Activation-data rate is derived at the selected latency percentile and is not physical link bandwidth.',
     payloadBandwidthNote:
       'Payload bandwidth is the full logical payload (incl. FP8 scale bytes) ÷ latency, per GPU — a derived rate over logical bytes, not physical link bandwidth. The tooltip β/α is a least-squares fit of latency vs bytes across the ladder (β = per-GPU bandwidth term, α = fixed overhead).',
     deleteRun: 'Delete run',

From f2f1a9d3b23522ae6de677549e0c09e322b7c74c Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 29 Jul 2026 19:19:59 +0800
Subject: [PATCH 35/37] fix(collectivex): count only persisted discovery
 changes

---
 .../src/lib/collectivex-lazy-ingest.test.ts   | 35 +++++++++++++++++++
 .../app/src/lib/collectivex-lazy-ingest.ts    | 13 +++----
 2 files changed, 42 insertions(+), 6 deletions(-)

diff --git a/packages/app/src/lib/collectivex-lazy-ingest.test.ts b/packages/app/src/lib/collectivex-lazy-ingest.test.ts
index 80bf3aba5..06a44141e 100644
--- a/packages/app/src/lib/collectivex-lazy-ingest.test.ts
+++ b/packages/app/src/lib/collectivex-lazy-ingest.test.ts
@@ -395,6 +395,41 @@ describe('ensureCollectiveXRunsList', () => {
     await expect(ensureCollectiveXRunsList(1)).resolves.toBe(false);
     expect(mockInsert).toHaveBeenCalledTimes(8);
   });
+
+  it('does not consume the mutation budget when concurrent inserts are no-ops', async () => {
+    const runs = Array.from({ length: 8 }, (_unused, index) => runObject({ id: 167 - index }));
+    mockInsert.mockResolvedValue(false);
+    mockFetch.mockResolvedValueOnce(runListing(...runs));
+    for (const run of runs) {
+      mockFetch
+        .mockResolvedValueOnce(Response.json(artifactsBody(run.id)))
+        .mockResolvedValueOnce(new Response(matrixZip))
+        .mockResolvedValueOnce(new Response(shardZip));
+    }
+
+    await expect(ensureCollectiveXRunsList(1)).resolves.toBe(true);
+    expect(mockInsert).toHaveBeenCalledTimes(8);
+  });
+
+  it('does not consume the mutation budget when guarded refreshes are no-ops', async () => {
+    const runs = Array.from({ length: 8 }, (_unused, index) =>
+      runObject({ id: 167 - index, run_attempt: 2 }),
+    );
+    mockGetStates.mockImplementation((_sql: unknown, ids: string[]) =>
+      Promise.resolve({ [ids[0]]: { state: 'live', version: 1, run_attempt: 1 } }),
+    );
+    mockRefresh.mockResolvedValue(false);
+    mockFetch.mockResolvedValueOnce(runListing(...runs));
+    for (const run of runs) {
+      mockFetch
+        .mockResolvedValueOnce(Response.json(artifactsBody(run.id, 2)))
+        .mockResolvedValueOnce(new Response(matrixZip))
+        .mockResolvedValueOnce(new Response(shardZip));
+    }
+
+    await expect(ensureCollectiveXRunsList(1)).resolves.toBe(true);
+    expect(mockRefresh).toHaveBeenCalledTimes(8);
+  });
 });
 
 describe('ensureCollectiveXRun', () => {
diff --git a/packages/app/src/lib/collectivex-lazy-ingest.ts b/packages/app/src/lib/collectivex-lazy-ingest.ts
index 08da7224e..58e4fbfce 100644
--- a/packages/app/src/lib/collectivex-lazy-ingest.ts
+++ b/packages/app/src/lib/collectivex-lazy-ingest.ts
@@ -405,7 +405,7 @@ async function persistRun(
   candidate: MatrixCandidate,
   token: string,
   refresh = false,
-): Promise<void> {
+): Promise<boolean> {
   const generatedAt = runGeneratedAt(run);
   if (!generatedAt) {
     throw new CollectiveXSweepError('invalid', 'sweep run is missing a timestamp');
@@ -450,9 +450,9 @@ async function persistRun(
     matrix: candidate.matrixDoc,
     summary,
   };
-  await (refresh
+  return refresh
     ? refreshCollectiveXRunAttempt(getCollectiveXWriteDb(), row, docs)
-    : insertCollectiveXRun(getCollectiveXWriteDb(), row, docs));
+    : insertCollectiveXRun(getCollectiveXWriteDb(), row, docs);
 }
 
 /** Download and version-check a candidate's matrix; null when not ingestible. */
@@ -490,8 +490,8 @@ async function considerCandidate(
     if (run.run_attempt > known.run_attempt) {
       const candidate = await matrixCandidateFor(run, version, token);
       if (candidate) {
-        await persistRun(run, candidate, token, true);
-        return 'changed-match';
+        const changed = await persistRun(run, candidate, token, true);
+        return changed ? 'changed-match' : 'match';
       }
     }
     return 'match';
@@ -499,7 +499,8 @@ async function considerCandidate(
   const artifacts = await listArtifacts(run.id, token);
   if (!hasMatrixArtifact(artifacts, run)) return 'skip';
   const candidate = await loadMatrixCandidate(artifacts, token, run);
-  await persistRun(run, candidate, token);
+  const changed = await persistRun(run, candidate, token);
+  if (!changed) return candidate.version === version ? 'match' : 'skip';
   return candidate.version === version ? 'changed-match' : 'changed-other';
 }
 

From 2095ad69fa21bb35069f9ee8a155093e5d6bfb1d Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 29 Jul 2026 19:22:59 +0800
Subject: [PATCH 36/37] fix(collectivex): select runs discovered after empty
 polls

---
 packages/app/cypress/e2e/collectivex.cy.ts                  | 6 ++++--
 .../app/src/components/collectivex/CollectiveXDisplay.tsx   | 1 +
 2 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/packages/app/cypress/e2e/collectivex.cy.ts b/packages/app/cypress/e2e/collectivex.cy.ts
index dbf4a1d79..0ac500461 100644
--- a/packages/app/cypress/e2e/collectivex.cy.ts
+++ b/packages/app/cypress/e2e/collectivex.cy.ts
@@ -84,7 +84,7 @@ describe('CollectiveX neutral run view', () => {
       request.reply({
         body: {
           version: 1,
-          runs: (requests === 1 ? [dataset] : [dataset, comparisonDataset]).map(buildRunSummary),
+          runs: (requests === 1 ? [] : [dataset, comparisonDataset]).map(buildRunSummary),
           discovery_complete: requests > 1,
         },
       });
@@ -92,12 +92,14 @@ describe('CollectiveX neutral run view', () => {
 
     cy.reload();
     cy.wait('@progressiveRuns');
-    cy.wait('@run');
     cy.wait('@progressiveRuns');
+    cy.wait('@run');
 
     cy.get(`[data-testid="collectivex-run-row-${comparisonDataset.run.run_id}"]`).should(
       'be.visible',
     );
+    cy.get(`[data-testid="collectivex-run-visible-${runId}"]`).should('be.checked');
+    cy.get('[data-testid="collectivex-explorer-chart"] .line-path').should('have.length', 1);
     cy.then(() => expect(requests).to.be.gte(2));
   });
 
diff --git a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
index 8b868b9d8..164d225d4 100644
--- a/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
+++ b/packages/app/src/components/collectivex/CollectiveXDisplay.tsx
@@ -385,6 +385,7 @@ export default function CollectiveXDisplay() {
 
   useEffect(() => {
     if (!runsQuery.data || initializedVersionRef.current === version) return;
+    if (runsQuery.data.runs.length === 0 && !runsQuery.data.discovery_complete) return;
     const initial =
       runsQuery.data.runs.find((run) => run.measured_cases > 0) ?? runsQuery.data.runs[0];
     setVisibleRunIds(initial ? new Set([initial.run_id]) : new Set());

From 93fe1af49ac0994bb47b2de2b944ec4d12bdac36 Mon Sep 17 00:00:00 2001
From: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Date: Wed, 29 Jul 2026 19:27:47 +0800
Subject: [PATCH 37/37] fix(collectivex): bound GitHub run discovery history

---
 docs/collectivex.md                               |  3 +++
 .../app/src/lib/collectivex-lazy-ingest.test.ts   | 15 +++++++++++++++
 packages/app/src/lib/collectivex-lazy-ingest.ts   | 11 ++++++++++-
 3 files changed, 28 insertions(+), 1 deletion(-)

diff --git a/docs/collectivex.md b/docs/collectivex.md
index feee0b515..073103b91 100644
--- a/docs/collectivex.md
+++ b/docs/collectivex.md
@@ -32,6 +32,9 @@ routes call before reading the DB (`packages/db/src/queries/collectivex.ts`):
   14-day artifacts may still be downloaded. Each request changes at most eight rows; an
   incomplete response is uncached and the client refetches until the workflow history is
   exhausted. Known rows do not consume the batch, so discovery advances past the newest runs.
+  GitHub discovery is limited to runs created within the last 44 days: the 30-day workflow
+  rerun window plus 14-day artifact retention, covering the oldest rerun whose artifacts can
+  still exist without rescanning permanent workflow history on every cold-origin request.
 - `ensureCollectiveXRun` — fetch one run by id, or compare a stored run's `run_attempt`
   against GitHub and refresh it when a rerun is newer. Only completed runs are persisted.
 
diff --git a/packages/app/src/lib/collectivex-lazy-ingest.test.ts b/packages/app/src/lib/collectivex-lazy-ingest.test.ts
index 06a44141e..20bf58293 100644
--- a/packages/app/src/lib/collectivex-lazy-ingest.test.ts
+++ b/packages/app/src/lib/collectivex-lazy-ingest.test.ts
@@ -337,6 +337,21 @@ describe('discovery cooldown', () => {
 });
 
 describe('ensureCollectiveXRunsList', () => {
+  it('bounds GitHub discovery to runs that could still have rerun artifacts', async () => {
+    vi.useFakeTimers();
+    vi.setSystemTime('2026-07-29T00:00:00.000Z');
+    try {
+      mockFetch.mockResolvedValueOnce(runListing());
+
+      await expect(ensureCollectiveXRunsList(1)).resolves.toBe(true);
+
+      const discoveryUrl = new URL(mockFetch.mock.calls[0][0] as string);
+      expect(discoveryUrl.searchParams.get('created')).toBe('>=2026-06-15T00:00:00.000Z');
+    } finally {
+      vi.useRealTimers();
+    }
+  });
+
   it('does not probe artifacts for unknown runs beyond the retention window', async () => {
     mockFetch.mockResolvedValueOnce(runListing(runObject({ updated_at: '2020-01-01T00:00:00Z' })));
 
diff --git a/packages/app/src/lib/collectivex-lazy-ingest.ts b/packages/app/src/lib/collectivex-lazy-ingest.ts
index 58e4fbfce..6e5d7055b 100644
--- a/packages/app/src/lib/collectivex-lazy-ingest.ts
+++ b/packages/app/src/lib/collectivex-lazy-ingest.ts
@@ -53,6 +53,11 @@ const RETRYABLE_STATUSES = new Set([408, 429, 500, 502, 503, 504]);
 // the DB remain visible, but unknown runs beyond this window cannot be
 // assembled and need not spend one GitHub artifact-list request apiece.
 const ARTIFACT_RETENTION_MS = 14 * 24 * 60 * 60 * 1000;
+// GitHub permits a workflow rerun for 30 days after creation. Include that
+// whole window plus artifact retention so the created-date filter still finds
+// the oldest run whose newest rerun artifacts could be downloadable.
+const WORKFLOW_RERUN_WINDOW_MS = 30 * 24 * 60 * 60 * 1000;
+const DISCOVERY_LOOKBACK_MS = WORKFLOW_RERUN_WINDOW_MS + ARTIFACT_RETENTION_MS;
 // Bound one origin request's work. The runs route reports whether discovery is
 // complete, and the client refetches while more ingestible runs remain.
 const MAX_CHANGED_RUNS_PER_PASS = 8;
@@ -228,14 +233,18 @@ function artifactsMayBeAvailable(run: WorkflowRun): boolean {
   return !Number.isFinite(timestamp) || Date.now() - timestamp <= ARTIFACT_RETENTION_MS;
 }
 
-// Newest-first stream of completed sweep runs across all branches.
+// Newest-first stream of completed sweep runs across all branches. GitHub's
+// created filter bounds cold-origin discovery without excluding any run whose
+// original or rerun artifacts could still be within their retention window.
 async function* sweepRuns(token: string): AsyncGenerator<WorkflowRun> {
   let page = 1;
   let visited = 0;
   let total: number | null = null;
+  const createdSince = new Date(Date.now() - DISCOVERY_LOOKBACK_MS).toISOString();
   while (total === null || visited < total) {
     const parameters = new URLSearchParams({
       status: 'completed',
+      created: `>=${createdSince}`,
       per_page: String(RUNS_PER_PAGE),
       page: String(page),
     });