From 549d912f1fef0c8f73aad8ba8e449699e746e978 Mon Sep 17 00:00:00 2001
From: ksdisch <kstan.disch@gmail.com>
Date: Wed, 29 Jul 2026 04:32:19 -0500
Subject: [PATCH 1/7] =?UTF-8?q?feat(m4):=20the=20vocabulary=20collateral?=
 =?UTF-8?q?=20strip=20=E2=80=94=20runner,=20verdict,=20tests?=
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M4 widens M3's probe side from the 12-concept subset to all 60 M1
concepts, keeping the 12 characterized directions as primes: 12 x 180
ablated + 180 clean = 2,340 cells per subject. It closes the bound M3's
own Honest limits section stated — nothing so far showed that deleting
France spares the other 48 concepts.

- m4_strip.py, cut from m3_matrix.py (never from the certified
  m0_anchor.py), with its own byte-frozen GATE_WORDING taken verbatim
  from D20 including the AS-SCORED ONLY qualifier and both string
  templates. The 255 M1-recorded and 468 M3-recorded cells are graded
  FIRST — 633 cells of the 2,340, the union of the two surfaces — and
  any mismatch exits INVALID before a new cell is read. D22's span and
  ASCII bars now run over all 60 scored words plus the 12 direction
  words. oracle.py is untouched (a fourth byte-shared consumer).
- m4_verdict.py owns strip_verdict() — precedence NOT A RESULT >
  DEGENERATE > UNDERPOWERED > the level bar, the failing label being the
  lineage null "not shown" — plus the cross-subject AND over 1.5B and
  3B. The runner imports it, so exactly one implementation of the
  pre-committed verdict string exists.
- test_m4.py (111 tests) pins the six-round review's hard-won lessons,
  every one a prose rule that broke when read literally: the residual
  selector selects exactly 2 / 2 / 0 gate-arm cells case-insensitively
  (case-exact selects 0; "fills the span" selects every cell), the
  conservative read fails in place at 41 / 71 / 84, AS-SCORED ONLY
  attaches at bar level only, and every realized n and ceiling is
  cross-checked against the recorded M1 artifacts.

Gates dry-run clean on all three subjects; six wrong-arm inputs exit
INVALID with named reasons; a --limit 18 smoke reproduced its reused
cells bit-for-bit and wrote nothing. No real cell has been run yet.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KkTj11WoNyTF9SGXvrxxVy
---
 m4_strip.py   | 1710 +++++++++++++++++++++++++++++++++++++++++++++++++
 m4_verdict.py |  329 ++++++++++
 test_m4.py    | 1256 ++++++++++++++++++++++++++++++++++++
 3 files changed, 3295 insertions(+)
 create mode 100644 m4_strip.py
 create mode 100644 m4_verdict.py
 create mode 100644 test_m4.py

diff --git a/m4_strip.py b/m4_strip.py
new file mode 100644
index 0000000..a7458b2
--- /dev/null
+++ b/m4_strip.py
@@ -0,0 +1,1710 @@
+"""m4_strip.py — M4: the vocabulary collateral strip (does deleting one of the 12
+characterized directions spare the *wider* vocabulary, not just the other 11?).
+
+Cut from `m3_matrix.py`, which was cut from `m2_depth.py`, which was cut from
+`m1_battery.py`, which was cut from the certified `m0_anchor.py` (untouched
+post-gate, D2/M0). The measurement machinery is unchanged — same naming template,
+same chat encoding, same k = 1 J-lens projection removal with the runtime
+read-back, same frozen band and thirds, same D9(b) oracle, same Wilson/Newcombe
+rulers — so the cells this strip shares with M1's *and* M3's recorded artifacts
+must reproduce them bit-for-bit, which this runner checks before it reads a
+single new cell (D19a).
+
+What M4 adds, each frozen in `docs/M4-BRIEF.md` before any run:
+
+- **the 12-prime x 180-item strip (D19a)** — M3 measured collateral among the 12
+  subset concepts and stated its own bound plainly: nothing there shows that
+  deleting France spares the other 48 M1 concepts. M4 keeps the 12 characterized
+  directions as the PRIMES and widens the PROBES to all 60 M1 concepts — the full
+  frozen 180-item battery. Per subject: `clean` (180) + 12 x 180 = 2,340 cells.
+  Depth and dose stay fixed at the switch's home (the late third, lambda = 1,
+  k = 1), so every cell differs from every other in exactly one thing — which
+  direction was removed and which item was asked.
+- **the level gate on the new pool (D20)** — VOCAB-SPARING iff, among the gated
+  NON-SUBSET items, the proportion surviving ALL 12 deletions has its Wilson 95%
+  lower bound at or above 0.5. Single-clause by design (the conjunction-degeneracy
+  obligation is discharged with exactly one surviving arm on the dispositive
+  list), with the pre-declared AS-SCORED ONLY qualifier when a pre-registered
+  conservative read falls below the bar and the as-scored read does not.
+- **the re-certification, two generations deep (D19a)** — 255 cells per subject
+  are recorded in M1's artifacts and 468 in M3's; both sets are graded FIRST and
+  compared on raw recorded strings, and any mismatch exits INVALID.
+- **the run-time instrument bars, widened (D22a)** — D18's span and ASCII bars
+  now run over every SCORED word (all 60) plus the 12 direction words, because
+  M4 scores 60 concepts where M3 scored 12. `oracle.py` itself is untouched: it
+  is byte-shared with `m1_rescore.py`, `m2_depth.py` and `m3_matrix.py` and must
+  stay identical.
+
+Owned divergences from `m3_matrix.py` (M4-BRIEF deviations table + dispositions):
+
+- **no control-extra directions.** M3 ran six out-of-subset control directions to
+  complete its 108-cell recorded surface. M4 probes all 180 items under all 12
+  primes, so every M1 `control_late` cell whose control direction is a subset
+  member is already a strip cell; the other controls are not strip primes and are
+  not run.
+- **`m3_matrix.GATE_WORDING` is not imported or edited** — M3's wording stays
+  byte-frozen with M3's artifacts. M4 freezes its own below, verbatim from D20
+  including its two post-freeze ratified amendments.
+- **the verdict precedence lives in `m4_verdict.strip_verdict()`**, imported here
+  rather than copied, so exactly one implementation of the pre-committed verdict
+  string exists (the `oracle.py` rationale, applied to wording).
+
+Run:  uv run python -u m4_strip.py \
+          --model-id Qwen/Qwen2.5-1.5B-Instruct \
+          --lens lenses/qwen2.5-1.5b-instruct-n100.pt
+"""
+from __future__ import annotations
+
+import argparse
+import json
+import math
+import os
+import re
+import time
+from collections import Counter
+
+import torch
+import transformers
+
+from harness import (
+    COLLAPSE_SHARE,
+    FROZEN_BANDS,
+    MIN_N,
+    READBACK_TOL,
+    degeneracy,
+    encode_chat,
+    fail_invalid,
+    output_logits,
+    proportional_band,
+    rate_cell,
+    token_forms,
+)
+from intervention import Edit, ablate, jlens_vector
+from m1_battery import (
+    CLUES_PER_CONCEPT,
+    EXPECTED_CONCEPTS,
+    EXPECTED_ITEMS,
+    ITEMS_PATH,
+    load_items,
+    sub_band_thirds,
+)
+from m4_verdict import SURVIVAL_LOWER_BOUND, strip_verdict
+from oracle import (
+    ORACLE_WORDING,
+    SPAN_TOKENS,
+    says_concept_anywhere,
+    says_concept_prefix,
+)
+from stats import excludes_zero, newcombe_diff, wilson
+from subject import SubjectModel
+
+#: D19(a): M3's primes — themselves M2's D11-stratified 12, reused VERBATIM.
+#: Copied rather than imported, per the standing cut-from-your-predecessor rule;
+#: a test pins it equal to M3's (and so, transitively, to M2's).
+SUBSET = (
+    "Brazil", "Canada", "China", "Egypt", "France", "Japan",   # S1 (+Egypt, S3)
+    "Jupiter", "Mars", "piano", "violin",                      # S2
+    "October",                                                 # S3
+    "silver",                                                  # S4
+)
+SUBSET_STRATA = {
+    "S1_hard_switch_core": ["Brazil", "Canada", "China", "France", "Japan"],
+    "S2_readout_unlocked": ["Jupiter", "Mars", "piano", "violin"],
+    "S3_leaky_switch": ["Egypt", "October"],
+    "S4_non_specific_anti_example": ["silver"],
+}
+#: Every word whose direction this run ablates. Unlike M3 there are no
+#: control-extra directions: the strip probes all 180 items under all 12 primes,
+#: so the recorded control cells that are strip cells are already covered.
+PLANNED_DIRECTIONS = SUBSET
+
+NAMING_Q = (  # verbatim from the certified m0_anchor.py, via m1_battery/m2/m3
+    'Consider this sentence: "{clue}"\n\n'
+    "Which {noun} is the sentence describing? Answer with just the name."
+)
+#: M4 holds depth and dose fixed at the switch's home: full removal, k = 1.
+STRIP_LAMBDA = 1.0
+#: The M1 conditions the shared cells reproduce, in M1's own names.
+M1_SHARED_CONDITIONS = ("clean", "primed_late", "control_late")
+#: D19: both cross-checks compare raw recorded strings, so they are
+#: oracle-independent — D9 cannot soften them.
+CELL_FIELDS = ("greedy", "greedy_3")
+#: D20's M3-comparable reference line for the cluster-mean per-cell floor. This
+#: is the readout M3 gated on; here it is reported beside and NEVER gating, so
+#: D17's "acceptable only because the qualifier is never dispositive" rationale
+#: for the binomial-on-bounded-fractions approximation stays intact.
+CLUSTER_FLOOR_REFERENCE = 0.5
+P_NAME_FLOOR = 0.85  # paper's verbatim naming threshold — reported, never gating
+#: The stack the anchor's bit-for-bit reproduction was certified on (M0, D1).
+CERTIFIED_DEVICE = "mps"
+CERTIFIED_PINS = {"torch": "2.13.0", "transformers": "5.13.1"}
+
+#: D21, frozen: the five (prime, item) pairs whose clue mentions a prime's
+#: spelling, scanned with D5's OWN rule — no word of the clue may START WITH the
+#: string, case-insensitive, plus that string's `forbidden_forms` entries — not
+#: the narrower whole-word match, which misses `Egypt -> beetle-2` ("Ancient
+#: EgyptIANS carved amulets of the scarab"). Kept in the gate-bearing pool
+#: (D21a): a confounded miss can only LOWER the floor, so the bias runs against
+#: the gate. `beetle-2` is ungated on all three subjects today and carries no
+#: gate-bearing cell; it is listed so a future re-gate cannot silently acquire one.
+CROSS_MENTION_PAIRS = (
+    ("October", "september-2"),
+    ("silver", "flute-1"),
+    ("China", "jade-1"),
+    ("October", "opal-2"),
+    ("Egypt", "beetle-2"),
+)
+
+#: D19(a)'s two re-certification surfaces, per subject, computed from the frozen
+#: battery in `expected_recorded_cells()` and pinned here as the pre-registered
+#: numbers the brief published: 255 M1-recorded cells (180 `clean` + 36
+#: `primed_late` + 39 `control_late` whose control direction is a prime) and 468
+#: M3-recorded cells (the 36 subset `clean` + all 432 matrix cells).
+EXPECTED_M1_CELLS = 255
+EXPECTED_M3_CELLS = 468
+EXPECTED_M3_ITEMS = len(SUBSET) * CLUES_PER_CONCEPT  # 36
+
+#: Every gate's wording, frozen as code before any M4 run (project guardrail:
+#: "pre-commit gates as code — wording included"). Written verbatim into the
+#: results JSON so prose and code can never drift. M1's, M2's and M3's wordings
+#: are NOT imported: each stays byte-frozen with its own artifacts.
+GATE_WORDING = {
+    "oracle": ORACLE_WORDING,
+    "competence": (
+        "D9(b) + D6(a) item-level greedy-span naming-only gate, carried verbatim "
+        "from M2/M3: an item enters the gated set iff its CLEAN naming span "
+        "satisfies the D9(b) oracle above. Gating is a property of the clean arm "
+        "alone, decided once per item and DIRECTION-INDEPENDENT, so every one of "
+        "this run's 12 prime columns shares ONE gated set — which is what makes "
+        "the rows, the columns and the pooled arms comparable. Gating is "
+        "per-subject. M1's first-token gate is computed and recorded beside it as "
+        "texture, never gating here. The paper-style verbatim-P rate (clean "
+        "concept mass >= 0.85) is reported alongside as texture, never gating; "
+        "note it is floor-pinned by construction for concepts whose emitted bare "
+        "spelling has no single-token form (the mass-channel scope, D13). OWNED, "
+        "AND THE REASON THE CLAIM SAYS WHAT IT SAYS: 25 / 7 / 5 of the 48 "
+        "non-subset concepts gate ZERO items at 0.5B / 1.5B / 3B, because the "
+        "model answers something else, answers correctly behind a modifier the "
+        "opening-word rule refuses, or misses on morphology — a COMPETENCE "
+        "SELECTION, not tokenizer geometry (under D9(b) the gate is a prefix on "
+        "the 3-token span, so it is insensitive to token count up to 3). "
+        "Confidently-named concepts are plausibly the robust ones, so the "
+        "selection biases the measured sparing floor UPWARD (F12's "
+        "selection-enrichment mechanism, now on the probe side). The claim is "
+        "sparing across the MEASURABLE vocabulary, said exactly that way."
+    ),
+    "sparing": (
+        "D20(a), pre-committed before any M4 run, with both post-freeze "
+        "amendments ratified by Kyle 2026-07-29. VOCAB-SPARING iff, per subject: "
+        "among the gated NON-SUBSET items (concepts outside the 12-concept matrix "
+        "roster), the proportion that SURVIVES ALL 12 subset-direction deletions "
+        "— D9(b) naming success in every one of the item's 12 off-target cells — "
+        "has its Wilson 95% lower bound at or above 0.5. This 0.5 is a bar on the "
+        "12-FOLD CONJUNCTION, not on per-cell survival, and is NOT M3's per-cell "
+        "floor: under independence it corresponds to a per-cell survival of "
+        "0.5^(1/12) ~ 0.944, and its stringency depends on the deletion count "
+        "(12) as much as on the sparing rate. The bar is read ONLY when the 468 "
+        "M3-recorded and 255 M1-recorded cells in the strip reproduce their "
+        "recorded outcomes bit-for-bit; any mismatch is INVALID and there is no "
+        "verdict. The M4 verdict is the AND over 1.5B and 3B; 0.5B runs and is "
+        "reported under its standing any-direction-damage frame, never "
+        "gate-bearing. Gate-arm n < MIN_N = 20 => pre-declared UNDERPOWERED and "
+        "no claim (realized n = 41 / 71 / 84 from the recorded gated sets). "
+        "VERDICT STRING, PRE-COMMITTED: the label alone over-reads — clearing a "
+        "floor bar is compatible with a large minority of measurable items "
+        "damaged — so the verdict, whichever way it goes, carries its REALIZED "
+        "SURVIVAL PROPORTION in the same string: VOCAB-SPARING when the bar is "
+        "cleared and the lineage's pre-committed null 'not shown' when it is not "
+        "— never an assertive negative, because failing a Wilson LOWER bound does "
+        "not establish the contrary (m1_battery.py, m2_depth.py, m3_matrix.py all "
+        "emit 'not shown'). The gate verdict is the AND over the two gate-bearing "
+        "subjects; 0.5B's readout is reported in the same shape under its "
+        "standing any-direction-damage frame and is NOT a gate verdict, so a low "
+        "0.5B reading is never a 'not shown' gate claim. "
+        "CONSERVATIVE-READ QUALIFIER, PRE-DECLARED: two pre-registered reads can "
+        "fall below the bar when the as-scored read clears it — the "
+        "residual-conservative fail-in-place read and the concept-level collapse "
+        "— and the brief pre-commits that where they diverge, THEIR numbers are "
+        "the honest ones. So a CLAIM-LEVEL verdict additionally carries the "
+        "qualifier AS-SCORED ONLY, naming each such read and its number, whenever "
+        "any pre-registered conservative read's Wilson 95% lower bound is below "
+        "0.5 while the as-scored read's is not. The qualifier SCOPES A CLAIM AND "
+        "CAN NEVER CREATE OR RESCUE ONE (D17's rule, carried), so it attaches to "
+        "a bar-level verdict only and never to NOT A RESULT, DEGENERATE or "
+        "UNDERPOWERED — precedence has already withheld the claim there, leaving "
+        "it nothing to scope. THE TWO TEMPLATES, STATED ONCE AND IMPLEMENTED "
+        "VERBATIM — base: '<label> (k/n survive all 12 = <rate>; Wilson 95% lower "
+        "<lo>)'; qualifier, appended to the base string when it fires: ' — "
+        "AS-SCORED ONLY (<read> k/n = <rate>, lower <lo>[; <read> ...])', with the "
+        "reads listed in the fixed order residual-conservative, concept-level "
+        "when both fire. Worked: 'VOCAB-SPARING (44/71 survive all 12 = 0.620; "
+        "Wilson 95% lower 0.503) — AS-SCORED ONLY (residual-conservative 42/71 = "
+        "0.592, lower 0.475)'. "
+        "THE 0.5 CONSTANT IS NEW, AND OWNED AS NEW — not carried from M3, whose "
+        "0.5 was a floor on cluster-collapsed PER-CELL survival while M4's is a "
+        "bar on a 12-FOLD CONJUNCTION. Two consequences, stated rather than "
+        "inherited. (i) STATUS CHANGED: M3's constant was itself uncalibrated and "
+        "D17 tolerated that only because the qualifier it scoped could never "
+        "create or rescue a claim; M4 makes a constant of the same value the "
+        "SINGLE DISPOSITIVE GATE, so D17's tolerance does not transfer. (ii) THE "
+        "DELETION COUNT IS HALF THE BAR: at a per-cell rate of 0.971 (M3's "
+        "recorded 1.5B off-diagonal) the conjunction reads ~0.70 and clears the "
+        "bar; at 0.94 it reads ~0.48 and fails. M4's 0.5 is therefore a new, "
+        "deliberately lenient, uncalibrated constant — pre-registered before any "
+        "new cell was run and fitted to none — and its per-cell equivalence is "
+        "written into this wording so no write-up can quote it as M3's floor. It "
+        "is a floor bar, not an effect-size claim; the descriptive numbers carry "
+        "the actual size. "
+        "WHY THE RE-CERTIFICATION CLAUSE IS INSIDE THE WORDING: every prior "
+        "stage's gate compared an intervened arm against another MEASURED arm, so "
+        "a dead intervention could never pass one. M4's bar is single-clause and "
+        "reads only the off-target survival rate — so read in isolation, an "
+        "ablation that did nothing at all would score ~100% survival and print "
+        "VOCAB-SPARING. The strip's re-run of M3's 432 matrix cells and M1's 36 "
+        "primed_late cells catches exactly that, and any mismatch exits INVALID; "
+        "putting it in the frozen wording means the sentence cannot be quoted out "
+        "of its own precondition. "
+        "TRADE-OFF, OWNED: survives-all-12 is the strictest sparing statistic; a "
+        "single fragile cell fails an item, and the correlation structure across "
+        "the 12 deletions (unmeasured until this run) decides how harsh that is. "
+        "That bias direction runs AGAINST the claim, the one direction this "
+        "project accepts. Every strip cell ablates the subject's identical "
+        "late-third layer set at lambda = 1, k = 1, so the compared arms differ "
+        "ONLY IN WHICH DIRECTION IS REMOVED and which item is asked — never in "
+        "depth, layer count, or dose (PR #7 review F2's tier-width caveat, "
+        "retired structurally and stated here so it stays owned; if a later stage "
+        "re-introduces tiers, the caveat clause must come back with them)."
+    ),
+    "conservative_reads": (
+        "D20, both pre-registered here and NEVER dispositive; each is reported "
+        "beside the gate and each can fire the AS-SCORED ONLY qualifier. "
+        "(1) THE RESIDUAL-CONSERVATIVE READ. D9(b)'s owned span-truncation "
+        "residual re-enters a gate-bearing arm for the first time since M1: "
+        "`oracle.py`'s frozen wording closes with 'None of the three concepts is "
+        "in M2's subset', and M4's wider probe side retires exactly that scope "
+        "sentence. The same gate statistic is recomputed with every RESIDUAL CELL "
+        "re-scored as a MISS — the maximally conservative reading of the boundary "
+        "D9(b) cannot observe. A RESIDUAL CELL is one whose recorded span, after "
+        "stripping leading whitespace, EQUALS THE SCORED CONCEPT'S SPELLING WITH "
+        "NOTHING FOLLOWING IT — compared CASE-INSENSITIVELY, exactly as "
+        "`oracle.says_concept_prefix` compares (re.IGNORECASE) — so that no "
+        "boundary character is observed. The case rule is stated because it "
+        "DECIDES THE SET, not as a detail: the recorded spans are 'Beetle', "
+        "'Butterfly', 'Trumpet' while the roster spellings are lowercase, so a "
+        "case-EXACT comparison would select ZERO cells and silently turn this "
+        "mitigation into a no-op. That is the selector: it is NOT 'the span fills "
+        "the 3-token window', which every recorded cell does by construction. In "
+        "the recorded clean arm the gate-arm residual cells are 0 / 2 / 2 at "
+        "0.5B / 1.5B / 3B (1.5B beetle-1, butterfly-1; 3B trumpet-3, "
+        "butterfly-1); in the ablated cells the set is whatever the run records, "
+        "computed from the same recorded spans by the same selector. DENOMINATOR, "
+        "PRE-REGISTERED: FAIL IN PLACE. The gate arm stays at its as-scored n — "
+        "41 / 71 / 84, the knowable-now cross-check the power table freezes — and "
+        "a residual-affected item scores as a FAILURE within that arm. The "
+        "alternative reading (re-score the clean cell too, so the item un-gates "
+        "and the arm shrinks) is named and REJECTED: it is the less conservative "
+        "of the two at the bar — with the same numerator, wilson(43, 71) reads "
+        "0.489 and fails while wilson(43, 69) reads 0.505 and passes — and it "
+        "would break the power table's pre-registered n. Fail-in-place keeps the "
+        "read strictly one-way: it can only lower the floor, never rescue it. The "
+        "bias the residual itself carries runs TOWARD the gate (an "
+        "unobservably-terminated span scores a hit), which is why it is disclosed "
+        "per subject and carried by this recomputation rather than by editing "
+        "`oracle.py` — editing it would force re-runs of three milestones. "
+        "(2) THE CONCEPT-LEVEL COLLAPSE (the effective-n sanity check). Items "
+        "cluster three-per-concept on the probe side, so beside the item-level "
+        "gate the same statistic is recomputed collapsed to one binary per "
+        "CONCEPT — 'every gated item of this concept survives all 12 deletions' — "
+        "over the non-subset concepts with >= 1 gated item (n = 23 / 41 / 43, all "
+        ">= MIN_N). If the item-level gate is clean and the concept-level collapse "
+        "is not, the concept-level numbers are the honest ones to quote."
+    ),
+    "descriptive": (
+        "D20's descriptive package — never gate-bearing, Wilson CIs, all "
+        "pre-registered in the brief. The CLUSTER-MEAN PER-CELL FLOOR on the new "
+        "pool (M3's F15 readout, reference line 0.5 — the M3-comparable view; "
+        "deliberately NOT promoted to gate-bearing, so D17's 'acceptable only "
+        "because the qualifier is never dispositive' rationale for that binomial "
+        "approximation stays intact). The ORDERING CONTRAST from rejected option "
+        "(b) (pooled off-target minus the subset diagonal, Newcombe), reported as "
+        "descriptive continuity with M3. Per-prime ROW PROFILES (does any of the "
+        "12 damage the wider vocabulary?) and per-probe COLUMN PROFILES over all "
+        "60 concepts — finding 1's mostly out-of-sample test: M3 found collateral "
+        "concentrates on fragile PROBES (silver's column) rather than on damaging "
+        "PRIMES, and the 48 new probe columns are a near-fresh sample (6 / 8 / 15 "
+        "of their gate-bearing cells are M1-recorded, the other 486 / 844 / 993 "
+        "are new). The WITHIN- vs CROSS-CATEGORY split of the new pool. The five "
+        "named CROSS-MENTION cells (D21a). Mean concept mass per cell under D13's "
+        "standing scope. Per-pair (prime, probe) cells are n <= 3 and are always "
+        "descriptive, never verdict-bearing (D7's logic, unchanged). The pooled "
+        "852-cell view repeats each item 12 times and is therefore texture, never "
+        "the gate (M3's F11 lesson applied in advance)."
+    ),
+    "run_time_bars": (
+        "D22(a), pre-trial, on the subject's own tokenizer — D18's two bars "
+        "widened from M3's 12 direction words to EVERY SCORED WORD (all 60) plus "
+        "the 12 direction words, because the soundness premise attaches to every "
+        "scored word and M4 scores 60. (1) THE SPAN BAR: every such word must "
+        "tokenize to <= oracle.SPAN_TOKENS = 3 in BOTH its bare and its "
+        "leading-space form, max(len(tok(w)), len(tok(' ' + w))) <= SPAN_TOKENS, "
+        "else the run exits INVALID. This is D9(b)/D10's whole soundness premise "
+        "— a prefix hit cannot be hidden by span truncation BECAUSE every roster "
+        "word fits the span — checked where it can drift (a tokenizer revision, a "
+        "future roster edit) instead of inherited as an assumption. (2) THE ASCII "
+        "BAR: every such word must be pure ASCII, else INVALID — "
+        "`oracle._BOUNDARY` is `(?![A-Za-z0-9])`, so a non-ASCII continuation "
+        "character would read as a word boundary and a longer non-ASCII word "
+        "could score as a hit. Verified in advance for all 60 words on all three "
+        "tokenizers (2026-07-28); the run-time bar still runs, because D18's "
+        "point was that the premise must hold AT THE MOMENT OF MEASUREMENT. NOTE "
+        "WHAT THE SPAN BAR CANNOT CATCH: the D9(b) residual passes it at exactly "
+        "<= 3 tokens, which IS the residual condition — the residual is carried by "
+        "disclosure plus the residual-conservative read above, never by this bar. "
+        "M4 adds NO vocabulary (every probe and every prime comes from M1's "
+        "frozen 60, all pure-ASCII spellings), so D18's named future trigger — a "
+        "stage freezing a NON-ASCII list, which owes the `oracle._BOUNDARY` "
+        "boundary-class decision first — is NOT fired by this stage; it continues "
+        "to name the banked scope stretch. `oracle.py` is UNTOUCHED by both bars: "
+        "it is byte-shared with `m1_rescore.py`, `m2_depth.py` and `m3_matrix.py` "
+        "and must stay identical."
+    ),
+    "degeneracy": (
+        "D20, carrying D14/D17's wide-oracle guard verbatim and re-scoping it to "
+        "M4's arms. The dispositive guard is unchanged in mechanism: pool the "
+        "first tokens of an arm's NON-PRODUCED cells only, share taken against "
+        "the arm's full cell count ('at least half this arm's answers are the "
+        "same WRONG opening'), threshold COLLAPSE_SHARE = 0.5; the raw "
+        "all-answers guard is recorded beside as texture. SCOPE, ENUMERATED — and "
+        "this enumeration IS the discharge of PR #9 F1's conjunction-degeneracy "
+        "obligation, which requires every surviving-side comparison arm of a "
+        "conjunction gate to be on the dispositive list: M4's gate is "
+        "deliberately SINGLE-CLAUSE, so the dispositive list has exactly ONE "
+        "surviving arm. Collapse in the pooled NON-SUBSET OFF-TARGET arm — the "
+        "single arm the gate reads — => DEGENERATE, no VOCAB-SPARING claim. "
+        "Collapse in the subset DIAGONAL => TAG only (the expected mute "
+        "signature, exactly `primed_late`'s standing treatment). `clean` stays "
+        "off the dispositive list (it is the gate arm — the D14 F3 correction, "
+        "carried). Collapse inside any single prime's ROW, any probe concept's "
+        "COLUMN, or any per-pair CELL is TEXTURE, attached to the readout it "
+        "compromises. If a later amendment ever makes M4's gate a conjunction, "
+        "every surviving arm goes on this list before the wording freezes."
+    ),
+    "recorded_crosscheck": (
+        "D19(a), environment-scoped (carrying D16's pattern, M2's D14 and M1's "
+        "D5a/F7 verbatim), one generation deeper and against TWO artifact sets at "
+        "once. Per subject the strip contains 255 cells recorded in M1's "
+        "artifacts (`clean` 180, the 12 subset concepts' `primed_late` 36, and "
+        "the 39 `control_late` cells whose control direction is a subset member) "
+        "and 468 cells recorded in M3's artifacts (the 36 subset `clean` cells "
+        "plus all 432 matrix cells — everything M3 ran except its 18 "
+        "out-of-subset control-extras, whose directions are not strip primes). "
+        "Both sets are graded FIRST and compared cell-for-cell on the RAW "
+        "RECORDED FIELDS (`greedy` and `greedy_3` decoded strings) BEFORE any new "
+        "cell is read; `concept_mass` equality is recorded as texture, never "
+        "gating. The comparison is on raw strings, so it is oracle-independent — "
+        "D9 cannot soften it. On the certified environment — device 'mps' under "
+        "the pinned stack (torch 2.13.0, transformers 5.13.1) — any mismatch is "
+        "INVALID (exit 2). Off that environment the check still runs and is "
+        "recorded but is NOT gate-bearing, and the whole run is pre-declared NOT "
+        "A RESULT, which m4_verdict.py refuses. Coverage is a property of the run "
+        "rather than of the environment, so the bars that all 180 items and all "
+        "255 M1 cells, and all 36 subset items and all 468 M3 cells, were "
+        "actually compared are UNSCOPED (M1 review F1's lesson). CONSEQUENCE "
+        "WORTH STATING: because every `clean` cell is M1-recorded and gating is "
+        "the deterministic clean arm under a frozen oracle, the realized gate-arm "
+        "n is FIXED BEFORE THE RUN at 41 / 71 / 84 — a run that disagrees is an "
+        "INVALID cross-check, not a power surprise."
+    ),
+    "precedence": (
+        "D20, frozen in `m4_verdict.strip_verdict()`: NOT A RESULT > DEGENERATE > "
+        "UNDERPOWERED > the level bar (VOCAB-SPARING or the pre-committed null "
+        "'not shown', each carrying its realized proportion, and AS-SCORED ONLY "
+        "appended only at this level — the three higher outcomes withhold the "
+        "claim, leaving the qualifier nothing to scope). Wrong-arm inputs exit "
+        "INVALID before any trial and, per PR #7 review F6's disposition carried "
+        "from M3, before the checkpoint is even loaded; `--dry-run` validates and "
+        "stops; `--limit` is smoke, never a result; M4 refuses M1 or M3 artifacts "
+        "that were themselves not results. All M1/M2/M3 patterns carried verbatim."
+    ),
+    "honesty": (
+        "Owned, pre-committed. (1) Items within a concept share one lens "
+        "direction on the prime side and one concept on the probe side, so "
+        "item-level pooling overstates independence; the pre-registered "
+        "concept-level collapse is the honest granular view beside it, and the "
+        "per-prime, per-probe and per-pair maps are the granular descriptive "
+        "views. (2) PRIME-SIDE CLUSTERING — every item faces the same 12 "
+        "directions — is the unmeasured correlation structure the survives-all-12 "
+        "statistic is conservative under: a single fragile cell fails an item. "
+        "(3) MIN_N = 20 is applied to raw n, not to an effective n discounted for "
+        "clustering. (4) The pooled 492 / 852 / 1,008-cell off-target view "
+        "repeats each gated item 12 times, which would make a Newcombe interval "
+        "on it NARROWER than the clustering justifies — anti-conservative and "
+        "owned, which is why that pool is TEXTURE and the gate reads the "
+        "per-item conjunction instead (M3's F11 lesson applied in advance). "
+        "(5) THE PROBE-SIDE REACH IS THE D9(b)-VISIBLE ROSTER, not 'the "
+        "vocabulary' (see the competence wording): a competence selection that "
+        "plausibly biases the floor UPWARD. (6) THE FIVE CROSS-MENTION CELLS "
+        "(D21a) are kept in the gate-bearing pool: a confounded miss can only "
+        "LOWER the floor, so the bias runs against the gate — excluding them "
+        "would be evidence-removal in the gate's favour, the anti-conservative "
+        "move the lineage never makes. They are reported individually as a named "
+        "confound row so a reader of the column profiles is not misled. (7) THE "
+        "D9(b) RESIDUAL biases TOWARD the gate and is the one bias direction here "
+        "that does; it is disclosed per subject and carried by the pre-registered "
+        "residual-conservative read. (8) THE PRE-REGISTERED CEILINGS are facts "
+        "about the arm, not evidence for the gate: 6 / 8 / 15 gate-arm cells are "
+        "already recorded in M1 and their misses cap the arm at 35/41, 69/71 and "
+        "82/84 before a single new forward pass."
+    ),
+}
+
+
+# --- the frozen battery -------------------------------------------------------
+
+def load_strip_items(path: str = ITEMS_PATH) -> list[dict]:
+    """M1's frozen 180-item battery, whole — every guard in M1's loader runs
+    first (roster shape, clue counts, fixed controls, leak test), so M4 cannot
+    run against a drifted battery; then this adds M4's own bars: the 12 primes
+    must all be roster concepts, and the five D21 cross-mention pairs must be
+    exactly the ones the frozen list names, so the confound row is a CHECKED FACT
+    rather than a hard-coded hope."""
+    items = load_items(path)
+    covered = {item["concept"] for item in items}
+    missing = sorted(set(SUBSET) - covered)
+    if missing:
+        raise ValueError(
+            f"{path} is missing pre-registered prime concept(s) {missing} — the "
+            "frozen subset and the frozen battery have drifted apart"
+        )
+    if len(covered) != EXPECTED_CONCEPTS or len(items) != EXPECTED_ITEMS:
+        raise ValueError(
+            f"{path} drew {len(items)} items over {len(covered)} concepts, "
+            f"expected {EXPECTED_ITEMS} over {EXPECTED_CONCEPTS}"
+        )
+    strata = sorted(c for group in SUBSET_STRATA.values() for c in group)
+    if strata != sorted(SUBSET):
+        raise ValueError("SUBSET_STRATA does not partition SUBSET")
+    scanned = cross_mention_pairs(items, json.load(open(path))["forbidden_forms"])
+    if sorted(scanned) != sorted(CROSS_MENTION_PAIRS):
+        raise ValueError(
+            f"the battery's prime cross-mentions are {sorted(scanned)}, not the "
+            f"frozen {sorted(CROSS_MENTION_PAIRS)} — D21's confound list was "
+            "pre-registered against the frozen clues"
+        )
+    return items
+
+
+def cross_mention_pairs(
+    items: list[dict], forbidden_forms: dict[str, list[str]]
+) -> list[tuple[str, str]]:
+    """D21's scan, run with D5's OWN rule: no word of the clue may START WITH the
+    prime's spelling, case-insensitive, nor with any of its frozen
+    `forbidden_forms`. An item's own concept and control are excluded because
+    M1's loader already bars those (D5's leak guard) — what is left is exactly
+    the confound M3's 12-concept design never had.
+
+    A whole-word scan would be the narrower rule and would MISS
+    `Egypt -> beetle-2`, whose clue inflects the prime ('Ancient Egyptians');
+    that is why the rule is stated as a prefix rule here and not assumed.
+    """
+    pairs = []
+    for prime in SUBSET:
+        blocked = [prime.lower()] + [f.lower() for f in forbidden_forms.get(prime, [])]
+        for item in items:
+            if prime in (item["concept"], item["control"]):
+                continue
+            words = re.findall(r"[a-z']+", item["clue"].lower())
+            if any(w.startswith(b) for w in words for b in blocked):
+                pairs.append((prime, item["name"]))
+    return pairs
+
+
+def concept_categories(items: list[dict]) -> dict[str, str]:
+    """concept -> category, read off the frozen items (never hard-coded)."""
+    return {item["concept"]: item["category"] for item in items}
+
+
+# --- the condition plan -------------------------------------------------------
+
+def condition_name(word: str) -> str:
+    return f"ablate_{word}"
+
+
+def plan_conditions(late: list[int]) -> list[dict]:
+    """Every condition this run grades: `clean` plus the 12 primes, all at the
+    identical late third, all at lambda = 1, k = 1, all applied to every one of
+    the 180 items. That uniformity is what makes the strip a strip: 13 cells per
+    item, 2,340 per subject."""
+    conditions = [
+        {"name": "clean", "group": "clean", "direction": None, "layers": [], "lam": 0.0}
+    ]
+    for word in SUBSET:
+        conditions.append({
+            "name": condition_name(word), "group": "prime", "direction": word,
+            "layers": late, "lam": STRIP_LAMBDA,
+        })
+    return conditions
+
+
+def is_m1_recorded(condition: dict, item: dict) -> bool:
+    """Is this cell one M1 already recorded for this item? `clean` is M1's
+    `clean`; the item's own concept direction is M1's `primed_late` (only a strip
+    cell when that concept is a prime); the item's frozen control direction is
+    M1's `control_late` (only when that control is a prime)."""
+    return condition["direction"] in (None, item["concept"], item["control"])
+
+
+def is_m3_recorded(condition: dict, item: dict) -> bool:
+    """Is this cell one M3 already recorded? M3 ran the 36 subset items under
+    `clean` and all 12 primes — so for a subset item every strip cell is an M3
+    cell, and for any other item none is. (M3's 18 out-of-subset control-extra
+    cells are not strip cells: their directions are not primes.)"""
+    return item["concept"] in SUBSET
+
+
+def is_recorded(condition: dict, item: dict) -> bool:
+    return is_m1_recorded(condition, item) or is_m3_recorded(condition, item)
+
+
+def conditions_for(conditions: list[dict], item: dict) -> tuple[list[dict], list[dict]]:
+    """(already-recorded conditions, everything new) for one item, in frozen
+    order — the split that makes "before any new cell is read" literally true."""
+    return (
+        [c for c in conditions if is_recorded(c, item)],
+        [c for c in conditions if not is_recorded(c, item)],
+    )
+
+
+def planned_cells(conditions: list[dict], items: list[dict]) -> int:
+    """Total clean + ablated cells this plan grades — the wall-clock unit. Under
+    D19(a) this is 2,340 per subject: 180 clean + 12 x 180 ablated."""
+    return len(conditions) * len(items)
+
+
+def expected_recorded_cells(items: list[dict]) -> dict[str, int]:
+    """The two re-certification surfaces, counted from the frozen battery rather
+    than hard-coded — then checked against the pre-registered 255 / 468."""
+    m1 = sum(
+        1 + (item["concept"] in SUBSET) + (item["control"] in SUBSET) for item in items
+    )
+    m3_items = [i for i in items if i["concept"] in SUBSET]
+    m3 = len(m3_items) * (1 + len(SUBSET))
+    if (m1, m3) != (EXPECTED_M1_CELLS, EXPECTED_M3_CELLS):
+        raise ValueError(
+            f"the frozen battery yields {m1} M1-recorded and {m3} M3-recorded "
+            f"strip cells, not the pre-registered {EXPECTED_M1_CELLS} / "
+            f"{EXPECTED_M3_CELLS} — the re-certification surface drifted"
+        )
+    return {
+        "m1_cells": m1, "m1_items": len(items),
+        "m3_cells": m3, "m3_items": len(m3_items),
+    }
+
+
+# --- the operator (M1's verbatim k = 1 full projection removal) ----------------
+
+def lens_vectors(
+    jacobians: dict[int, torch.Tensor],
+    layers: list[int],
+    rows: dict[str, torch.Tensor],
+    device: str,
+) -> dict[tuple[int, str], torch.Tensor]:
+    """v = J_l^T u for every (layer, prime) this run will ablate, computed once —
+    M2/M3's caching, carried verbatim (and certified inert by the same
+    cross-checks: a moved value would break bit-for-bit reproduction of the
+    reused cells). Each Jacobian is moved to the device one layer at a time so
+    the whole lens never has to be resident at once."""
+    vectors: dict[tuple[int, str], torch.Tensor] = {}
+    for layer in layers:
+        jacobian = jacobians[layer].to(device)
+        for word, row in rows.items():
+            vectors[(layer, word)] = jlens_vector(jacobian, row.float())
+        del jacobian
+    return vectors
+
+
+def concept_ablation_edits(
+    vectors: dict[tuple[int, str], torch.Tensor], layers: list[int], word: str
+) -> dict[int, Edit]:
+    """k = 1 full projection removal — M1's operator and read-back verbatim, only
+    reading its direction from the precomputed table. Every M4 cell runs through
+    this path (lambda = 1 everywhere), so the cells M1 and M3 already recorded are
+    reproduced by the same code that recorded them."""
+    edits: dict[int, Edit] = {}
+    for layer in layers:
+        v = vectors[(layer, word)]
+
+        def edit(h: torch.Tensor, layer=layer, v=v) -> torch.Tensor:
+            hs = h[0]  # [seq, d_model]
+            direction = v.to(device=hs.device, dtype=torch.float32)
+            directions = direction.expand(hs.shape[0], 1, -1)
+            out = ablate(hs.float(), directions).to(hs.dtype)
+            leftover = (out.float() @ direction).abs()
+            scale = direction.norm() * hs.float().norm(dim=-1)
+            worst = float((leftover / scale.clamp_min(1e-30)).max())
+            if worst > READBACK_TOL:
+                fail_invalid(
+                    f"M4 read-back failed at layer {layer}: surviving "
+                    f"projection {worst:.2e} > {READBACK_TOL:.0e}"
+                )
+            return out.unsqueeze(0)
+
+        edits[layer] = edit
+    return edits
+
+
+def edits_for(
+    condition: dict, vectors: dict[tuple[int, str], torch.Tensor]
+) -> dict[int, Edit] | None:
+    """The edit set one condition applies: none for `clean`, otherwise the full
+    ablation of that prime's direction at the late third."""
+    if condition["direction"] is None:
+        return None
+    return concept_ablation_edits(vectors, condition["layers"], condition["direction"])
+
+
+# --- readouts -----------------------------------------------------------------
+
+def greedy_continuation(
+    subject: SubjectModel,
+    input_ids: torch.Tensor,
+    edits: dict[int, Edit] | None,
+    first_id: int,
+    n_tokens: int = SPAN_TOKENS,
+) -> str:
+    """The answer's first `n_tokens` greedy tokens, decoded — the span the D9(b)
+    oracle reads. The edits are re-applied on every continuation pass, so the
+    ablation stays active across the whole decoded span."""
+    ids = [first_id]
+    sequence = input_ids
+    for _ in range(n_tokens - 1):
+        sequence = torch.cat(
+            [sequence, torch.tensor([[ids[-1]]], device=sequence.device)], dim=1
+        )
+        ids.append(int(output_logits(subject, sequence, edits).argmax()))
+    return subject.tokenizer.decode(ids)
+
+
+def concept_mass(logits: torch.Tensor, forms: list[int]) -> float:
+    """Softmax probability mass on the concept's single-token forms — kept
+    verbatim from M1/M2/M3 (the cross-checks compare it as texture). Floor-pinned
+    by construction wherever the emitted bare spelling has no single-token form,
+    which is why D13 scopes the mass channel."""
+    probs = torch.softmax(logits.float(), dim=-1)
+    return float(sum(probs[t] for t in forms))
+
+
+def bare_form_is_single_token(word: str, tokenizer) -> bool:
+    """Does the spelling the model actually emits — the bare, no-leading-space
+    form — have a single-token id? One predicate, two consequences, both carried
+    from M2: when it is False the ablated direction is keyed to the leading-space
+    unembed row (D11 / PR #5 F3), and the concept-mass channel is floor-pinned
+    (D13 / PR #5 F2)."""
+    return len(tokenizer(word, add_special_tokens=False).input_ids) == 1
+
+
+def is_residual_cell(span: str, concept: str) -> bool:
+    """D20's residual selector, implemented verbatim from the frozen wording.
+
+    A residual cell is one whose recorded span, after stripping leading
+    whitespace, **equals the scored concept's spelling with nothing following
+    it**, compared **case-insensitively** exactly as `oracle.says_concept_prefix`
+    compares — so no boundary character is observed and D9(b) cannot rule out a
+    longer continuation ('Beetlejuice' truncates to exactly 'Beetle').
+
+    The case rule DECIDES THE SET and is not a detail: the recorded spans are
+    capitalised ('Beetle', 'Butterfly', 'Trumpet') while the roster spellings are
+    lowercase, so a case-exact comparison would select ZERO cells and silently
+    turn the mitigation into a no-op. Nor is this "the span fills the 3-token
+    window" — every recorded `greedy_3` does that by construction, so that
+    reading would select every cell. The two mistakes fail in opposite
+    directions; both are pinned by tests.
+    """
+    return span.lstrip().lower() == concept.lower()
+
+
+# --- D22(a): the run-time instrument bars, widened to every scored word --------
+
+def span_form_lengths(word: str, tokenizer) -> tuple[int, int]:
+    """(bare token count, leading-space token count) — the two forms the span bar
+    reads. The recorded span holds the model's *emitted* continuation, normally
+    the space-prefixed form, and bare length does not bound space-form length."""
+    return (
+        len(tokenizer(word, add_special_tokens=False).input_ids),
+        len(tokenizer(" " + word, add_special_tokens=False).input_ids),
+    )
+
+
+def check_run_time_bars(words: list[str], tokenizer) -> dict:
+    """D22(a), pre-trial: the two premises D9(b)/D10's soundness rests on,
+    checked on the subject's own tokenizer instead of inherited as assumptions —
+    now over every SCORED word (all 60) plus the 12 direction words, because M4
+    scores 60 concepts where M3 scored 12.
+
+    (1) every word fits the recorded span in BOTH its bare and its leading-space
+    form; (2) every word is pure ASCII, the `oracle._BOUNDARY` premise. Either
+    failure exits INVALID before any trial. Returns the measured lengths,
+    recorded in the results JSON.
+    """
+    lengths = {word: span_form_lengths(word, tokenizer) for word in words}
+    too_long = sorted(w for w, (bare, space) in lengths.items()
+                      if max(bare, space) > SPAN_TOKENS)
+    if too_long:
+        detail = ", ".join(
+            f"{w!r} bare={lengths[w][0]} space={lengths[w][1]}" for w in too_long
+        )
+        fail_invalid(
+            f"D22 span bar: {detail} — max(bare, leading-space) exceeds "
+            f"oracle.SPAN_TOKENS = {SPAN_TOKENS}, so a prefix hit could be hidden "
+            "by span truncation and the D9(b)/D10 soundness premise does not hold "
+            "on this tokenizer"
+        )
+    non_ascii = sorted(w for w in words if not w.isascii())
+    if non_ascii:
+        fail_invalid(
+            f"D22 ASCII bar: {non_ascii} — `oracle._BOUNDARY` is ASCII-only "
+            "([A-Za-z0-9]), so a non-ASCII continuation would read as a word "
+            "boundary and could score as a hit. The boundary class is a frozen "
+            "measurement rule; changing it needs a decision, not a run"
+        )
+    return {
+        "span_tokens": SPAN_TOKENS,
+        "words_checked": len(lengths),
+        "form_lengths": {w: list(lengths[w]) for w in sorted(lengths)},
+        "worst_form_length": max((max(v) for v in lengths.values()), default=0),
+        "all_ascii": True,
+    }
+
+
+# --- environment, validation, cross-checks ------------------------------------
+
+class SubjectSpec:
+    """The shape validation needs, read from the config alone — so a wrong-arm
+    exit or a `--dry-run` never pays for a checkpoint load (PR #7 review F6's
+    disposition, carried from M3). Re-asserted against the loaded `SubjectModel`
+    before any trial, so the cheap path can never quietly disagree with the
+    measured one."""
+
+    def __init__(self, model_id: str) -> None:
+        text_config = transformers.AutoConfig.from_pretrained(model_id).get_text_config()
+        self.n_layers: int = text_config.num_hidden_layers
+        self.d_model: int = text_config.hidden_size
+
+
+def certified_environment(device: str) -> tuple[bool, list[str]]:
+    """Is this the stack the anchor's bit-for-bit reproduction was certified on?
+    Returns (certified, reasons-it-is-not). Carried verbatim from M1/M2/M3."""
+    reasons = []
+    if device != CERTIFIED_DEVICE:
+        reasons.append(f"device {device!r} != {CERTIFIED_DEVICE!r}")
+    for module, pin in ((torch, "torch"), (transformers, "transformers")):
+        actual = module.__version__
+        if actual != CERTIFIED_PINS[pin]:
+            reasons.append(f"{pin} {actual} != pinned {CERTIFIED_PINS[pin]}")
+    return (not reasons), reasons
+
+
+def m1_path_for(model_id: str) -> str:
+    return "results/m1-battery-" + model_id.split("/")[-1].lower() + ".json"
+
+
+def m3_path_for(model_id: str) -> str:
+    return "results/m3-matrix-" + model_id.split("/")[-1].lower() + ".json"
+
+
+def load_recorded_run(path: str, milestone: str, model_id: str, band: list[int]) -> dict:
+    """One of M4's two comparison targets. A run that was itself pre-declared not
+    to be a result cannot certify anything, so it is refused here rather than
+    silently cross-checked against."""
+    if not os.path.exists(path):
+        fail_invalid(f"{milestone} results {path} missing — D19's cross-check needs them")
+    try:
+        with open(path) as f:
+            recorded = json.load(f)
+    except (json.JSONDecodeError, OSError, UnicodeDecodeError) as exc:
+        fail_invalid(f"{milestone} results {path} could not be read as JSON: {exc}")
+    if recorded.get("milestone") != milestone:
+        fail_invalid(
+            f"{path} is not an {milestone} run (milestone={recorded.get('milestone')!r})"
+        )
+    if recorded.get("model_id") != model_id:
+        fail_invalid(f"{milestone} results {path} are for {recorded.get('model_id')!r}, "
+                     f"not {model_id!r}")
+    if recorded.get("band") != band:
+        fail_invalid(f"{milestone} results {path} were run on band "
+                     f"{recorded.get('band')}, not {band}")
+    if recorded.get("smoke_limit") is not None:
+        fail_invalid(f"{milestone} results {path} are a SMOKE run — never a cross-check target")
+    if not recorded.get("environment", {}).get("certified"):
+        fail_invalid(
+            f"{milestone} results {path} ran off the certified environment — "
+            "pre-declared NOT A RESULT, so they cannot certify this run either"
+        )
+    return recorded
+
+
+def validate(args, artifact: dict, spec, tokenizer) -> tuple[list[int], dict, dict, dict]:
+    """Wrong-arm input checks (the M0/M1/M2/M3 gate pattern) plus D22(a)'s two
+    run-time bars. Returns (band, the parsed M1 artifact, the parsed M3 artifact,
+    the measured bars) — the artifacts are *returned* rather than discarded so
+    `main()` never parses them twice (PR #7 review F6's second half), and the
+    bars object the results JSON publishes is the very one that gated the run."""
+    if artifact.get("model_id") != args.model_id:
+        fail_invalid(
+            f"lens artifact was fitted on {artifact.get('model_id')!r}, "
+            f"not {args.model_id!r}"
+        )
+    if artifact.get("d_model") != spec.d_model:
+        fail_invalid(
+            f"lens d_model={artifact.get('d_model')} != subject d_model={spec.d_model}"
+        )
+    if sorted(artifact["J"]) != list(range(spec.n_layers - 1)):
+        fail_invalid(f"lens layers != expected 0..{spec.n_layers - 2}")
+    band = proportional_band(spec.n_layers)
+    if band != FROZEN_BANDS.get(spec.n_layers):
+        fail_invalid(
+            f"proportional band {band} disagrees with frozen table "
+            f"{FROZEN_BANDS.get(spec.n_layers)} for {spec.n_layers} layers"
+        )
+    try:
+        items = load_strip_items()
+        expected_recorded_cells(items)
+    except (FileNotFoundError, ValueError) as exc:
+        fail_invalid(str(exc))
+    bars = check_run_time_bars(scored_and_direction_words(items), tokenizer)
+    m1 = load_recorded_run(
+        args.m1 or m1_path_for(args.model_id), "M1", args.model_id, band
+    )
+    m3 = load_recorded_run(
+        args.m3 or m3_path_for(args.model_id), "M3", args.model_id, band
+    )
+    return band, m1, m3, bars
+
+
+def scored_and_direction_words(items: list[dict]) -> list[str]:
+    """D22(a)'s roster: every SCORED word (all 60 probe concepts) plus the 12
+    direction words. The primes are among the 60, so this is their union — stated
+    as a union anyway, because the premise attaches to both roles and a future
+    prime from outside the battery must not slip past the bar."""
+    return sorted({item["concept"] for item in items} | set(SUBSET))
+
+
+def _compare(ours: dict, theirs: dict, label: str, mismatches: list[str]) -> int:
+    for field in CELL_FIELDS:
+        if ours[field] != theirs[field]:
+            mismatches.append(f"{label}.{field}: {ours[field]!r} != {theirs[field]!r}")
+    return ours["concept_mass"] == theirs["concept_mass"]
+
+
+def m1_crosscheck(records: list[dict], recorded: dict) -> tuple[list[str], dict]:
+    """D19(a), the M1 half: the 255 cells M4 shares with M1's recorded artifacts
+    must reproduce M1's recording exactly on the raw decoded strings. The mapping
+    is per item — M4 keys its cells by the ablated direction, so M1's
+    `primed_late` is the item's own concept's cell (a strip cell only when that
+    concept is a prime) and M1's `control_late` is the item's frozen control's
+    cell (only when that control is a prime). Returns (mismatches, texture)."""
+    reference = {r["name"]: r for r in recorded["items"]}
+    mismatches: list[str] = []
+    equal = cells = checked = 0
+    for record in records:
+        theirs = reference.get(record["name"])
+        if theirs is None:
+            mismatches.append(f"{record['name']}: absent from the M1 recording")
+            continue
+        checked += 1
+        shared = {"clean": "clean"}
+        if record["concept"] in SUBSET:
+            shared[condition_name(record["concept"])] = "primed_late"
+        if record["control"] in SUBSET:
+            shared[condition_name(record["control"])] = "control_late"
+        for ours_name, m1_condition in shared.items():
+            equal += _compare(
+                record["cells"][ours_name], theirs["cells"][m1_condition],
+                f"{record['name']}/{ours_name} (M1 {m1_condition})", mismatches,
+            )
+            cells += 1
+    return mismatches, {
+        "items_checked": checked, "items_expected": EXPECTED_ITEMS,
+        "cells_checked": cells, "cells_expected": EXPECTED_M1_CELLS,
+        "mass_cells_equal": equal,
+    }
+
+
+def m3_crosscheck(records: list[dict], recorded: dict) -> tuple[list[str], dict]:
+    """D19(a), the M3 half: the 468 cells M4 shares with M3's recorded artifacts —
+    the 36 subset items' `clean` cell plus all 432 matrix cells — compared on the
+    same raw fields. M3 keyed its cells the same way M4 does (`ablate_<word>`), so
+    this comparison is name-for-name."""
+    reference = {r["name"]: r for r in recorded["items"]}
+    mismatches: list[str] = []
+    equal = cells = checked = 0
+    for record in records:
+        if record["concept"] not in SUBSET:
+            continue
+        theirs = reference.get(record["name"])
+        if theirs is None:
+            mismatches.append(f"{record['name']}: absent from the M3 recording")
+            continue
+        checked += 1
+        for name in ["clean"] + [condition_name(w) for w in SUBSET]:
+            equal += _compare(
+                record["cells"][name], theirs["cells"][name],
+                f"{record['name']}/{name} (M3)", mismatches,
+            )
+            cells += 1
+    return mismatches, {
+        "items_checked": checked, "items_expected": EXPECTED_M3_ITEMS,
+        "cells_checked": cells, "cells_expected": EXPECTED_M3_CELLS,
+        "mass_cells_equal": equal,
+    }
+
+
+# --- grading ------------------------------------------------------------------
+
+def grade(
+    planned: list[tuple[dict, dict]],
+    conditions: list[dict],
+    subject: SubjectModel,
+    vectors: dict[tuple[int, str], torch.Tensor],
+    records: dict[str, dict],
+    phase: str,
+) -> dict[str, dict]:
+    """Run one phase's conditions for every planned item, filling `records` in
+    place. Called twice: once for the cells M1 and M3 already recorded (whose
+    reproduction the two cross-checks then grade), and once for everything new —
+    which is what makes "before any new cell is read" literally true.
+    """
+    for i, (item, forms) in enumerate(planned):
+        start = time.perf_counter()
+        recorded_conditions, rest = conditions_for(conditions, item)
+        runnable = recorded_conditions if phase == "recorded" else rest
+        prompt = NAMING_Q.format(clue=item["clue"], noun=item["noun"])
+        input_ids = encode_chat(subject, prompt)
+        record = records.setdefault(item["name"], {
+            "name": item["name"], "category": item["category"],
+            "concept": item["concept"], "control": item["control"],
+            "source": item["source"],
+            "in_subset": item["concept"] in SUBSET,
+            "direction_key": "bare" if forms["bare_single_token"] else "leading_space",
+            "mass_channel_eligible": forms["bare_single_token"],
+            "cells": {},
+        })
+        for condition in runnable:
+            edits = edits_for(condition, vectors)
+            logits = output_logits(subject, input_ids, edits)
+            greedy = int(logits.argmax())
+            span = greedy_continuation(subject, input_ids, edits, greedy)
+            record["cells"][condition["name"]] = {
+                # D9(b) primary
+                "produced": says_concept_prefix(span, item["concept"]),
+                "greedy_3": span,
+                # D20's residual selector, computed on the cell that produced it
+                "residual": is_residual_cell(span, item["concept"]),
+                # recorded beside every cell so cross-checks stay oracle-free
+                "produced_first_token": greedy in forms["concept"],
+                "greedy": subject.tokenizer.decode([greedy]),
+                "greedy_id": greedy,
+                "concept_mass": concept_mass(logits, forms["concept"]),
+                "says_concept_in_3": says_concept_anywhere(span, item["concept"]),
+            }
+        if "clean" in record["cells"]:
+            clean = record["cells"]["clean"]
+            record["gate_span"] = clean["produced"]
+            record["gate_first_token"] = clean["produced_first_token"]
+            record["gate_verbatim_p"] = clean["concept_mass"] >= P_NAME_FLOOR
+        gate = record.get("gate_span")
+        print(
+            f"[{phase} {i + 1}/{len(planned)}] {item['name']} ({item['concept']}): "
+            + (
+                f"clean={'OK' if record['cells']['clean']['produced'] else 'x'}"
+                f"({record['cells']['clean']['greedy_3']!r}) "
+                f"gate={'IN' if gate else 'out'} "
+                f"{len(runnable)} recorded cells"
+                if phase == "recorded"
+                else f"gate={'IN' if gate else 'out'} {len(runnable)} new cells"
+            )
+            + f" ({time.perf_counter() - start:.1f}s)"
+        )
+    return records
+
+
+# --- the pre-committed analysis package ---------------------------------------
+
+def off_target_directions(concept: str) -> list[str]:
+    """The primes that are not this concept's own — 12 for every non-subset
+    concept (the gate arm), 11 for a subset concept (M3's off-diagonal)."""
+    return [word for word in SUBSET if word != concept]
+
+
+def arm_cells(rows: list[dict], directions_for) -> list[dict]:
+    """Every (item, direction) cell of one pooled arm, flattened. `directions_for`
+    maps a record to the directions that arm reads on it."""
+    return [
+        row["cells"][condition_name(word)]
+        for row in rows
+        for word in directions_for(row)
+    ]
+
+
+def pooled(cells: list[dict]) -> dict:
+    return rate_cell(sum(cell["produced"] for cell in cells), len(cells))
+
+
+def survives_all(record: dict, words: list[str], conservative: bool = False) -> bool:
+    """Did this item name its concept under EVERY one of `words`' deletions?
+
+    Under `conservative` the D20 residual read applies: every residual cell is
+    re-scored as a miss, and the item's own CLEAN cell is read the same way — a
+    residual clean cell would un-gate the item, and D20's pre-registered
+    fail-in-place denominator keeps it in the arm as a FAILURE instead of
+    shrinking the arm. The read is therefore strictly one-way: it can only lower
+    the floor, never rescue it.
+    """
+    cells = [record["cells"][condition_name(w)] for w in words]
+    if conservative:
+        cells.append(record["cells"]["clean"])
+        return all(c["produced"] and not c["residual"] for c in cells)
+    return all(c["produced"] for c in cells)
+
+
+def wilson_cell(k: int, n: int) -> dict:
+    lo, hi = wilson(k, n)
+    return {"k": k, "n": n, "rate": (k / n) if n else None, "wilson_95": [lo, hi]}
+
+
+def contrast(base: dict, mech: dict, label: str) -> dict:
+    """The two-proportion comparison rejected option (b) would have gated on,
+    reported here as descriptive continuity with M3: `mech` (the surviving
+    off-target side) expected above `base` (the muted subset diagonal)."""
+    diff = newcombe_diff(base["hits"], base["n"], mech["hits"], mech["n"])
+    return {
+        "label": label,
+        "diagonal": base,
+        "off_target": mech,
+        "newcombe_offtarget_minus_diagonal_naming": list(diff),
+        "excludes_zero": diff[0] > 0 and excludes_zero(diff[1], diff[2]),
+    }
+
+
+def strip_package(
+    records: list[dict], categories: dict[str, str], tokenizer, confounds: list[tuple[str, str]]
+) -> dict:
+    """Everything D20/D21 pre-commits: the single-clause level gate, its two
+    never-dispositive conservative reads, and the descriptive package."""
+    gated = [r for r in records if r["gate_span"]]
+    gate_arm = [r for r in gated if not r["in_subset"]]
+    subset_gated = [r for r in gated if r["in_subset"]]
+    by_concept: dict[str, list[dict]] = {}
+    for record in records:
+        by_concept.setdefault(record["concept"], []).append(record)
+    gated_by_concept = {c: [r for r in rows if r["gate_span"]]
+                        for c, rows in by_concept.items()}
+
+    # --- the gate: survives-all-12 over the gated non-subset items -----------
+    n_arm = len(gate_arm)
+    survivors = [r for r in gate_arm if survives_all(r, off_target_directions(r["concept"]))]
+    gate = wilson_cell(len(survivors), n_arm)
+
+    # --- the two pre-registered conservative reads (never dispositive) -------
+    conservative_survivors = sum(
+        survives_all(r, off_target_directions(r["concept"]), conservative=True)
+        for r in gate_arm
+    )
+    arm_concepts = sorted({r["concept"] for r in gate_arm})
+    concept_survivors = sum(
+        all(survives_all(r, off_target_directions(c)) for r in gated_by_concept[c])
+        for c in arm_concepts
+    )
+    conservative_reads = [
+        {
+            "read": "residual-conservative",
+            "note": (
+                "every residual cell re-scored as a miss, denominator FAIL IN "
+                "PLACE at the as-scored n (D20)"
+            ),
+            **wilson_cell(conservative_survivors, n_arm),
+        },
+        {
+            "read": "concept-level",
+            "note": (
+                "one binary per non-subset concept with >= 1 gated item: every "
+                "gated item of the concept survives all 12 (D20's effective-n check)"
+            ),
+            **wilson_cell(concept_survivors, len(arm_concepts)),
+        },
+    ]
+
+    # --- the new pool, its splits, and the M3-comparable readouts ------------
+    new_pool = pooled(arm_cells(gate_arm, lambda r: off_target_directions(r["concept"])))
+    within = pooled(arm_cells(
+        gate_arm,
+        lambda r: [w for w in off_target_directions(r["concept"])
+                   if categories[w] == r["category"]],
+    ))
+    cross = pooled(arm_cells(
+        gate_arm,
+        lambda r: [w for w in off_target_directions(r["concept"])
+                   if categories[w] != r["category"]],
+    ))
+    subset_diagonal = pooled([r["cells"][condition_name(r["concept"])] for r in subset_gated])
+    subset_off_diagonal = pooled(
+        arm_cells(subset_gated, lambda r: off_target_directions(r["concept"]))
+    )
+    ordering = contrast(
+        subset_diagonal, new_pool,
+        "pooled non-subset off-target vs the subset diagonal (rejected option (b), "
+        "descriptive continuity with M3 — never gating in M4)",
+    )
+
+    fractions = [
+        sum(r["cells"][condition_name(w)]["produced"]
+            for w in off_target_directions(r["concept"]))
+        / len(off_target_directions(r["concept"]))
+        for r in gate_arm
+    ]
+    total = sum(fractions)
+    floor_k = int(math.floor(total))
+    floor_lo, floor_hi = wilson(floor_k, n_arm)
+    cluster_floor = {
+        "readout": (
+            "cluster-collapsed per-cell survival on the new pool (M3's F15 "
+            "readout, reported for comparability — NEVER gating in M4)"
+        ),
+        "sum_of_fractions": total,
+        "mean_survival_fraction": (total / n_arm) if n_arm else None,
+        "k": floor_k, "n": n_arm, "wilson_95": [floor_lo, floor_hi],
+        "reference_line": CLUSTER_FLOOR_REFERENCE,
+        "below_reference_line": n_arm > 0 and floor_lo < CLUSTER_FLOOR_REFERENCE,
+    }
+
+    # --- the descriptive package ---------------------------------------------
+    row_profiles = {}
+    for prime in SUBSET:
+        non_subset_cells = [r["cells"][condition_name(prime)] for r in gate_arm]
+        row_profiles[prime] = {
+            "category": categories[prime],
+            "stratum": next(s for s, m in SUBSET_STRATA.items() if prime in m),
+            "diagonal": pooled([r["cells"][condition_name(prime)]
+                                for r in gated_by_concept.get(prime, [])]),
+            "collateral_non_subset": pooled(non_subset_cells),
+            "collateral_non_subset_within_category": pooled([
+                r["cells"][condition_name(prime)] for r in gate_arm
+                if r["category"] == categories[prime]
+            ]),
+            "collateral_non_subset_cross_category": pooled([
+                r["cells"][condition_name(prime)] for r in gate_arm
+                if r["category"] != categories[prime]
+            ]),
+            "collateral_subset": pooled([
+                r["cells"][condition_name(prime)] for r in subset_gated
+                if r["concept"] != prime
+            ]),
+        }
+
+    column_profiles = {}
+    for concept, group in sorted(by_concept.items()):
+        rows = gated_by_concept.get(concept, [])
+        column_profiles[concept] = {
+            "category": categories[concept],
+            "in_subset": concept in SUBSET,
+            "items_run": len(group),
+            "gated_items": len(rows),
+            "clean": pooled([r["cells"]["clean"] for r in rows]),
+            "diagonal": pooled(
+                [r["cells"][condition_name(concept)] for r in rows]
+                if concept in SUBSET else []
+            ),
+            "fragility": pooled(arm_cells(rows, lambda r: off_target_directions(r["concept"]))),
+            "survives_all_deletions": sum(
+                survives_all(r, off_target_directions(r["concept"])) for r in rows
+            ),
+        }
+
+    strip = []
+    for prime in SUBSET:
+        for concept, group in sorted(by_concept.items()):
+            if prime == concept:
+                continue
+            rows = gated_by_concept.get(concept, [])
+            strip.append({
+                "prime": prime, "probe": concept,
+                "in_subset_probe": concept in SUBSET,
+                "same_category": categories[prime] == categories[concept],
+                "cell": pooled([r["cells"][condition_name(prime)] for r in rows]),
+            })
+
+    by_name = {r["name"]: r for r in records}
+    confound_cells = []
+    for prime, name in confounds:
+        record = by_name.get(name)
+        cell = record["cells"][condition_name(prime)] if record else None
+        confound_cells.append({
+            "prime": prime, "item": name,
+            "probe_concept": record["concept"] if record else None,
+            "gated": bool(record and record["gate_span"]),
+            "in_gate_arm": bool(record and record["gate_span"] and not record["in_subset"]),
+            "produced_under_prime": cell["produced"] if cell else None,
+            "greedy_3_under_prime": cell["greedy_3"] if cell else None,
+            "clean_greedy_3": record["cells"]["clean"]["greedy_3"] if record else None,
+        })
+
+    residual_cells = [
+        {"item": r["name"], "concept": r["concept"], "condition": name,
+         "greedy_3": cell["greedy_3"], "in_gate_arm": r["gate_span"] and not r["in_subset"]}
+        for r in records
+        for name, cell in r["cells"].items()
+        if cell["residual"]
+    ]
+
+    recorded_in_m1 = [
+        r for r in gate_arm if r["control"] in SUBSET
+    ]
+    ceiling_misses = [
+        r["name"] for r in recorded_in_m1
+        if not r["cells"][condition_name(r["control"])]["produced"]
+    ]
+
+    mass_rows = [r for r in gate_arm if r["mass_channel_eligible"]]
+
+    def mean_mass(rows, directions_for) -> float | None:
+        cells = arm_cells(rows, directions_for)
+        return sum(c["concept_mass"] for c in cells) / len(cells) if cells else None
+
+    mass_texture = {
+        "mass_channel_n_gate_arm_items": len(mass_rows),
+        "clean": (sum(r["cells"]["clean"]["concept_mass"] for r in mass_rows) / len(mass_rows)
+                  if mass_rows else None),
+        "new_pool_off_target": mean_mass(
+            mass_rows, lambda r: off_target_directions(r["concept"])
+        ),
+        "subset_diagonal": (
+            sum(r["cells"][condition_name(r["concept"])]["concept_mass"]
+                for r in subset_gated if r["mass_channel_eligible"])
+            / len([r for r in subset_gated if r["mass_channel_eligible"]])
+            if any(r["mass_channel_eligible"] for r in subset_gated) else None
+        ),
+    }
+
+    return {
+        "competence": {
+            "items_run": len(records),
+            "gate_span": len(gated),
+            "gate_arm_n": n_arm,
+            "gate_arm_concepts": len(arm_concepts),
+            "zero_gated_non_subset_concepts": sorted(
+                c for c, rows in by_concept.items()
+                if c not in SUBSET and not gated_by_concept.get(c)
+            ),
+            "gate_first_token_texture": sum(r["gate_first_token"] for r in records),
+            "gate_verbatim_p": sum(r["gate_verbatim_p"] for r in records),
+        },
+        "clean_cell": pooled([r["cells"]["clean"] for r in gated]),
+        "new_pool_arms": {
+            "off_target": new_pool,
+            "within_category": within,
+            "cross_category": cross,
+            "subset_diagonal": subset_diagonal,
+            "subset_off_diagonal": subset_off_diagonal,
+        },
+        "vocabulary_sparing": {
+            "gate_arm": gate,
+            "bar": SURVIVAL_LOWER_BOUND,
+            "clears_bar": n_arm > 0 and gate["wilson_95"][0] >= SURVIVAL_LOWER_BOUND,
+            "underpowered": n_arm < MIN_N,
+            "conservative_reads": conservative_reads,
+            "cluster_mean_floor": cluster_floor,
+            "ordering_contrast": ordering,
+        },
+        "gate_arm_ceiling": {
+            "note": (
+                "cells already recorded in M1 (the item's frozen control direction "
+                "is a prime) — their outcomes were fixed before the run, so their "
+                "misses cap the arm. A fact about the arm, never evidence for the gate."
+            ),
+            "cells_recorded_in_m1": len(recorded_in_m1),
+            "misses": ceiling_misses,
+            "ceiling": n_arm - len(ceiling_misses),
+            "n": n_arm,
+        },
+        "strip": strip,
+        "row_profiles": row_profiles,
+        "column_profiles": column_profiles,
+        "cross_mention_cells": confound_cells,
+        "residual_cells": residual_cells,
+        "concept_mass_texture": mass_texture,
+    }
+
+
+def wrong_opening_degeneracy(cells: list[dict], tokenizer) -> dict:
+    """D20's dispositive guard, carried verbatim from M3's D17 (itself M2's D14):
+    the most common first token among this arm's **non-produced** cells, with the
+    share taken against the arm's full cell count — "at least half this arm's
+    answers are the same *wrong* opening". Under D9(b) the raw all-answers share
+    stops meaning pathology, because a correct answer may legitimately open with
+    a shared fragment; that raw guard is recorded beside as texture."""
+    missed = [cell["greedy_id"] for cell in cells if not cell["produced"]]
+    if not missed or not cells:
+        return {"attractor_token": None, "share": 0.0, "collapsed": False,
+                "non_produced": len(missed), "n_cells": len(cells)}
+    token, count = Counter(missed).most_common(1)[0]
+    share = count / len(cells)
+    return {
+        "attractor_token": tokenizer.decode([token]),
+        "share": share,
+        "collapsed": share >= COLLAPSE_SHARE,
+        "non_produced": len(missed),
+        "n_cells": len(cells),
+    }
+
+
+# --- main ---------------------------------------------------------------------
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--model-id", required=True)
+    parser.add_argument("--lens", required=True, help="fitted lens artifact (*.pt)")
+    parser.add_argument("--m1", default=None, help="recorded M1 results JSON to cross-check against")
+    parser.add_argument("--m3", default=None, help="recorded M3 results JSON to cross-check against")
+    parser.add_argument("--out", default=None, help="results JSON path")
+    parser.add_argument("--dry-run", action="store_true", help="validate + plan, then stop")
+    parser.add_argument(
+        "--device", default="auto", choices=("auto", "mps", "cpu"),
+        help="cpu keeps a smoke run off the GPU while something else owns it",
+    )
+    parser.add_argument(
+        "--limit", type=int, default=None,
+        help="grade only the first N items — SMOKE ONLY, never a result",
+    )
+    args = parser.parse_args()
+    if args.limit is not None and args.limit < 1:
+        fail_invalid(f"--limit must be a positive item count, got {args.limit}")
+
+    if args.device == "auto":
+        device = "mps" if torch.backends.mps.is_available() else "cpu"
+    else:
+        device = args.device
+    certified, uncertified_reasons = certified_environment(device)
+
+    # PR #7 review F6, carried: everything validatable is validated BEFORE the
+    # checkpoint loads, so a wrong-arm exit or a --dry-run never pays for a load.
+    spec = SubjectSpec(args.model_id)
+    tok = transformers.AutoTokenizer.from_pretrained(args.model_id)
+    try:
+        artifact = torch.load(args.lens, map_location="cpu", weights_only=True)
+    except (FileNotFoundError, OSError, RuntimeError, torch.serialization.pickle.UnpicklingError) as exc:
+        fail_invalid(f"lens artifact {args.lens} could not be loaded: {exc}")
+    band, m1_recorded, m3_recorded, bars = validate(args, artifact, spec, tok)
+    m1_path = args.m1 or m1_path_for(args.model_id)
+    m3_path = args.m3 or m3_path_for(args.model_id)
+
+    thirds = sub_band_thirds(band)
+    late = thirds["late"]
+    conditions = plan_conditions(late)
+    items = load_strip_items()
+    categories = concept_categories(items)
+    surfaces = expected_recorded_cells(items)
+
+    directions = list(PLANNED_DIRECTIONS)
+    missing_forms = [w for w in directions if not token_forms(w, tok)]
+    if missing_forms:
+        fail_invalid(
+            f"no single-token unembed row exists for direction word(s) "
+            f"{missing_forms} — the strip cannot key their direction"
+        )
+
+    planned, dropped = [], []
+    for item in items:
+        forms = {
+            "concept": token_forms(item["concept"], tok),
+            "bare_single_token": bare_form_is_single_token(item["concept"], tok),
+        }
+        if not forms["concept"]:
+            dropped.append({"name": item["name"], "missing": ["concept"]})
+        else:
+            planned.append((item, forms))
+
+    cells_planned = planned_cells(conditions, [item for item, _ in planned])
+    print(
+        f"validated: {args.model_id} n_layers={spec.n_layers}, lens n_prompts="
+        f"{artifact['n_prompts']}, band L{band[0]}–L{band[-1]} | late third "
+        f"L{late[0]}–L{late[-1]} (width {len(late)}), λ={STRIP_LAMBDA:g}, k=1 | "
+        f"strip {len(SUBSET)} primes × {len(planned)} items | items "
+        f"{len(planned)} gradable / {len(dropped)} dropped | cells "
+        f"{cells_planned} ({len(planned)} clean + {len(planned) * len(SUBSET)} "
+        f"ablated) | re-certification {surfaces['m1_cells']} M1 cells / "
+        f"{surfaces['m3_cells']} M3 cells | M1 {m1_path} | M3 {m3_path} | "
+        "environment "
+        + ("CERTIFIED" if certified else "UNCERTIFIED: " + "; ".join(uncertified_reasons))
+    )
+    print(
+        f"  D22 bars: all {bars['words_checked']} scored + direction words fit the "
+        f"{SPAN_TOKENS}-token span in both forms (worst "
+        f"{bars['worst_form_length']}) and are pure ASCII | D21 cross-mention "
+        "pairs: " + ", ".join(f"{p}→{n}" for p, n in CROSS_MENTION_PAIRS)
+    )
+    if args.dry_run:
+        print("DRY-RUN: inputs valid; no trials performed; no checkpoint loaded")
+        raise SystemExit(0)
+
+    if args.limit is not None:
+        planned = planned[: args.limit]
+
+    print(f"loading {args.model_id} (fp32, {device})")
+    hf = transformers.AutoModelForCausalLM.from_pretrained(
+        args.model_id, dtype=torch.float32
+    ).to(device)
+    subject = SubjectModel(hf, tok)
+    if (subject.n_layers, subject.d_model) != (spec.n_layers, spec.d_model):
+        fail_invalid(
+            f"loaded checkpoint is {subject.n_layers} layers / d_model "
+            f"{subject.d_model}, but its config validated as {spec.n_layers} / "
+            f"{spec.d_model} — validation and measurement disagree"
+        )
+
+    unembed_rows = hf.lm_head.weight.detach()
+    rows = {w: unembed_rows[token_forms(w, tok)[0]] for w in directions}
+    vectors = lens_vectors(artifact["J"], late, rows, device)
+
+    store: dict[str, dict] = {}
+    grade(planned, conditions, subject, vectors, store, "recorded")
+    records = [store[item["name"]] for item, _ in planned]
+
+    crosschecks = {}
+    for milestone, path, recorded, checker in (
+        ("M1", m1_path, m1_recorded, m1_crosscheck),
+        ("M3", m3_path, m3_recorded, m3_crosscheck),
+    ):
+        mismatches, texture = checker(records, recorded)
+        crosschecks[milestone] = {
+            "results": path, "gate_bearing": certified,
+            "mismatches": mismatches[:20], "n_mismatches": len(mismatches), **texture,
+        }
+        print(
+            f"\n{milestone} CROSS-CHECK: {'PASS' if not mismatches else 'MISMATCH'} — "
+            f"{len(mismatches)} mismatches over {texture['cells_checked']} reused "
+            f"cells ({texture['items_checked']}/{texture['items_expected']} items) "
+            f"| concept_mass exact {texture['mass_cells_equal']}/"
+            f"{texture['cells_checked']} | "
+            + ("GATE-BEARING (certified environment)" if certified
+               else "not gate-bearing (uncertified environment)")
+        )
+        for problem in mismatches[:20]:
+            print(f"  {problem}")
+        if mismatches and certified:
+            fail_invalid(
+                f"{len(mismatches)} strip cells disagree with the recorded "
+                f"{milestone} run {path} on the certified environment — the "
+                "instrument drifted (D19); no new cell was read"
+            )
+        if args.limit is None and (
+            texture["items_checked"] != texture["items_expected"]
+            or texture["cells_checked"] != texture["cells_expected"]
+        ):
+            fail_invalid(
+                f"{milestone} cross-check compared "
+                f"{texture['items_checked']}/{texture['items_expected']} items and "
+                f"{texture['cells_checked']}/{texture['cells_expected']} cells — a "
+                "partial cross-check is not a re-certification (D19)"
+            )
+        if mismatches:
+            print(
+                "  ^ recorded, NOT gate-bearing: bit-for-bit reproduction is a "
+                "property of the certified stack, not of the instrument (D19, scoped)"
+            )
+
+    grade(planned, conditions, subject, vectors, store, "new-cells")
+
+    package = strip_package(records, categories, tok, list(CROSS_MENTION_PAIRS))
+    gated = [r for r in records if r["gate_span"]]
+    gate_arm = [r for r in gated if not r["in_subset"]]
+    subset_gated = [r for r in gated if r["in_subset"]]
+
+    arms = {
+        "clean": [r["cells"]["clean"] for r in gated],
+        "new_pool_off_target": arm_cells(
+            gate_arm, lambda r: off_target_directions(r["concept"])
+        ),
+        "subset_diagonal": [r["cells"][condition_name(r["concept"])] for r in subset_gated],
+        "subset_off_diagonal": arm_cells(
+            subset_gated, lambda r: off_target_directions(r["concept"])
+        ),
+    }
+    for prime in SUBSET:
+        arms[f"row_{prime}"] = [r["cells"][condition_name(prime)] for r in gate_arm]
+    for concept in sorted({r["concept"] for r in gated}):
+        rows = [r for r in gated if r["concept"] == concept]
+        arms[f"column_{concept}"] = arm_cells(
+            rows, lambda r: off_target_directions(r["concept"])
+        )
+    guard_wrong_opening = {name: wrong_opening_degeneracy(cells, tok)
+                           for name, cells in arms.items()}
+    guard_all_answers = {
+        name: degeneracy([cell["greedy_id"] for cell in cells], tok)
+        for name, cells in arms.items()
+    }
+    for record in records:
+        for cell in record["cells"].values():
+            del cell["greedy_id"]
+
+    # D20's disposition, scoped to the single arm the gate reads.
+    dispositive = ("new_pool_off_target",)
+    degenerate_arms = [a for a in dispositive if guard_wrong_opening[a]["collapsed"]]
+    row_caveats = [p for p in SUBSET if guard_wrong_opening[f"row_{p}"]["collapsed"]]
+    column_caveats = [c for c in sorted({r["concept"] for r in gated})
+                      if guard_wrong_opening[f"column_{c}"]["collapsed"]]
+    sparing = package["vocabulary_sparing"]
+    sparing["degenerate_gate_arms"] = degenerate_arms
+    sparing["subset_diagonal_collapsed_tag"] = guard_wrong_opening["subset_diagonal"]["collapsed"]
+    sparing["row_texture_caveats"] = row_caveats
+    sparing["column_texture_caveats"] = column_caveats
+    verdict = strip_verdict(
+        certified, degenerate_arms, sparing["gate_arm"],
+        sparing["conservative_reads"], args.limit,
+    )
+    sparing["verdict"] = verdict
+
+    results = {
+        "milestone": "M4",
+        "model_id": args.model_id,
+        "lens": args.lens,
+        "lens_n_prompts": artifact["n_prompts"],
+        "band": band,
+        "thirds": thirds,
+        "ablated_layers": late,
+        "lambda": STRIP_LAMBDA,
+        "mode": "gate (survives-all-12 on the gated non-subset items) + descriptive (the strip)",
+        "environment": {
+            "device": device,
+            "torch": torch.__version__,
+            "transformers": transformers.__version__,
+            "certified": certified,
+            "uncertified_reasons": uncertified_reasons,
+        },
+        "protocol": {
+            "instructions": {"naming": NAMING_Q},
+            "primes": list(SUBSET),
+            "subset_strata": SUBSET_STRATA,
+            "concept_categories": categories,
+            "conditions": [
+                {k: c[k] for k in ("name", "group", "direction", "layers", "lam")}
+                for c in conditions
+            ],
+            "cells_planned": cells_planned,
+            "recorded_surfaces": surfaces,
+            "cross_mention_pairs": [list(p) for p in CROSS_MENTION_PAIRS],
+            "gate": "greedy-span naming-only under D9(b); first-token recorded beside",
+            "readback_tol": READBACK_TOL,
+            "min_n": MIN_N,
+            "collapse_share": COLLAPSE_SHARE,
+            "p_name_floor": P_NAME_FLOOR,
+            "span_tokens": SPAN_TOKENS,
+            "survival_lower_bound": SURVIVAL_LOWER_BOUND,
+            "cluster_floor_reference": CLUSTER_FLOOR_REFERENCE,
+            "run_time_bars": bars,
+            "items": ITEMS_PATH,
+            "gate_wording": GATE_WORDING,
+        },
+        "dropped_single_token_prefilter": dropped,
+        "m1_crosscheck": crosschecks["M1"],
+        "m3_crosscheck": crosschecks["M3"],
+        "smoke_limit": args.limit,
+        **package,
+        "degeneracy_guard_wrong_opening": guard_wrong_opening,
+        "degeneracy_guard_all_answers": guard_all_answers,
+        "items": records,
+    }
+
+    smoke = f"SMOKE (limit={args.limit}) — not a result — " if args.limit else ""
+    gate = sparing["gate_arm"]
+    pool = package["new_pool_arms"]
+    print(
+        f"\nM4 VOCABULARY-SPARING VERDICT ({args.model_id}): {smoke}gated "
+        f"{package['competence']['gate_span']}/{len(records)} items, gate arm "
+        f"(gated non-subset) n={gate['n']} | survives-all-{len(SUBSET)} "
+        f"{gate['k']}/{gate['n']}"
+        + (f" = {gate['rate']:.3f} [{gate['wilson_95'][0]:.3f},"
+           f"{gate['wilson_95'][1]:.3f}]" if gate["n"] else "")
+        + f" vs bar {SURVIVAL_LOWER_BOUND} → {verdict}"
+    )
+    for read in sparing["conservative_reads"]:
+        print(
+            f"  {read['read']} (pre-registered, never dispositive): "
+            f"{read['k']}/{read['n']}"
+            + (f" = {read['rate']:.3f} [{read['wilson_95'][0]:.3f},"
+               f"{read['wilson_95'][1]:.3f}]" if read["n"] else "")
+        )
+    floor = sparing["cluster_mean_floor"]
+    ordering = sparing["ordering_contrast"]["newcombe_offtarget_minus_diagonal_naming"]
+    print(
+        f"  new pool (texture, each item 12×): off-target {pool['off_target']['hits']}/"
+        f"{pool['off_target']['n']}, within-category {pool['within_category']['hits']}/"
+        f"{pool['within_category']['n']}, cross-category "
+        f"{pool['cross_category']['hits']}/{pool['cross_category']['n']} | subset "
+        f"diagonal {pool['subset_diagonal']['hits']}/{pool['subset_diagonal']['n']}"
+    )
+    print(
+        f"  M3-comparable cluster-mean floor (never gating): {floor['k']}/{floor['n']}"
+        + (f" → [{floor['wilson_95'][0]:.3f}, {floor['wilson_95'][1]:.3f}]"
+           if floor["n"] else "")
+        + f" vs reference {CLUSTER_FLOOR_REFERENCE} | ordering contrast "
+        f"{ordering[0]:+.3f} [{ordering[1]:+.3f}, {ordering[2]:+.3f}]"
+    )
+    ceiling = package["gate_arm_ceiling"]
+    print(
+        f"  pre-registered ceiling (M1-recorded gate-arm cells): "
+        f"{ceiling['ceiling']}/{ceiling['n']} — {ceiling['cells_recorded_in_m1']} "
+        f"cells fixed pre-run, misses: {', '.join(ceiling['misses']) or 'none'}"
+    )
+    print(
+        "  row collateral (deleting A, over the gated non-subset items): "
+        + " ".join(
+            f"{p}={package['row_profiles'][p]['collateral_non_subset']['hits']}/"
+            f"{package['row_profiles'][p]['collateral_non_subset']['n']}" for p in SUBSET
+        )
+    )
+    fragile = sorted(
+        (c for c, v in package["column_profiles"].items()
+         if v["fragility"]["n"] and v["fragility"]["hits"] < v["fragility"]["n"]),
+        key=lambda c: package["column_profiles"][c]["fragility"]["rate"],
+    )
+    print(
+        "  most fragile probe columns (finding 1's out-of-sample test): "
+        + (" ".join(
+            f"{c}{'*' if package['column_profiles'][c]['in_subset'] else ''}="
+            f"{package['column_profiles'][c]['fragility']['hits']}/"
+            f"{package['column_profiles'][c]['fragility']['n']}"
+            for c in fragile[:12]) or "no damaged column")
+        + "   (* subset concept)"
+    )
+    print(
+        f"  D9(b) residual cells recorded this run: {len(package['residual_cells'])} "
+        f"({sum(c['in_gate_arm'] for c in package['residual_cells'])} in the gate arm)"
+        " | D21 cross-mention cells: "
+        + " ".join(
+            f"{c['prime']}→{c['item']}="
+            + ("n/a" if c["produced_under_prime"] is None
+               else ("named" if c["produced_under_prime"] else "MISS"))
+            + ("" if c["in_gate_arm"] else " (ungated)")
+            for c in package["cross_mention_cells"]
+        )
+    )
+    if row_caveats or column_caveats:
+        print(
+            f"  degeneracy texture (never dispositive): rows "
+            f"{', '.join(row_caveats) or 'none'} | columns "
+            f"{', '.join(column_caveats) or 'none'}"
+        )
+
+    if args.limit and not args.out:
+        print("smoke run: results not written (pass --out to keep them)")
+        raise SystemExit(0)
+    out = args.out or ("results/m4-strip-" + args.model_id.split("/")[-1].lower() + ".json")
+    os.makedirs(os.path.dirname(out) or ".", exist_ok=True)
+    with open(out, "w") as f:
+        json.dump(results, f, indent=1)
+    print(f"results written to {out}")
+    raise SystemExit(0)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/m4_verdict.py b/m4_verdict.py
new file mode 100644
index 0000000..2f680f6
--- /dev/null
+++ b/m4_verdict.py
@@ -0,0 +1,329 @@
+"""m4_verdict.py — M4's verdict precedence and its cross-subject verdict, frozen
+as code before any run.
+
+Two jobs, deliberately in one module:
+
+- **`strip_verdict()`** — D20's frozen per-subject precedence, NOT A RESULT >
+  DEGENERATE > UNDERPOWERED > the level bar, together with the two verdict-string
+  templates the D20 wording package pre-commits. `m4_strip.py` imports it rather
+  than carrying its own copy: the whole point of a pre-committed verdict string
+  is that exactly one implementation of it exists, so the runner and any
+  re-analysis can never print differently-shaped verdicts. (The cut-from-your-
+  predecessor rule protects certified *measurement* code from edits; it is not a
+  reason to duplicate a wording rule whose purpose is byte-identity — the same
+  rationale `oracle.py` is shared under.)
+- **the cross-subject verdict** — the AND over 1.5B and 3B. 0.5B runs and is read
+  out under its standing any-direction-damage frame and never enters the AND;
+  Amendment 2 (ii) scopes that inside the frozen gate wording itself, so a low
+  0.5B reading is never a `not shown` gate claim.
+
+A run that is not a result — smoke (`--limit`), off the certified environment, or
+carrying M1 or M3 cross-check mismatches — cannot feed the verdict: this exits
+INVALID rather than quietly averaging it in. A pre-committed null (`not shown`)
+is a reportable result and exits 0.
+
+Run:  uv run python m4_verdict.py
+"""
+from __future__ import annotations
+
+import argparse
+import json
+import os
+
+from harness import MIN_N, fail_invalid
+
+GATE_BEARING = ("qwen2.5-1.5b-instruct", "qwen2.5-3b-instruct")
+CONTEXT_ONLY = ("qwen2.5-0.5b-instruct",)
+SUBJECTS = CONTEXT_ONLY + GATE_BEARING
+
+#: D20's bar on the 12-fold conjunction. NOT M3's per-cell floor constant: the
+#: same digits mean opposite things across the two statistics (under
+#: independence a conjunction of 0.5 is a per-cell 0.5^(1/12) ~ 0.944). New,
+#: deliberately lenient, uncalibrated, pre-registered before any M4 cell ran and
+#: fitted to none — owned as its own deviations-table row.
+SURVIVAL_LOWER_BOUND = 0.5
+#: The number of deletions each gate-arm item must survive — half the bar's
+#: stringency, and named in the verdict string so it cannot be quoted away.
+N_DELETIONS = 12
+
+PASS_LABEL = "VOCAB-SPARING"
+#: The lineage's pre-committed null (`m1_battery.py`, `m2_depth.py`,
+#: `m3_matrix.py` all emit it). Failing a Wilson *lower* bound does not establish
+#: the contrary, so the failing label is never an assertive negative
+#: (Amendment 2 (i)).
+NULL_LABEL = "not shown"
+QUALIFIER = "AS-SCORED ONLY"
+#: The fixed read order Amendment 2 (iv) pre-commits for the qualifier string.
+CONSERVATIVE_READ_ORDER = ("residual-conservative", "concept-level")
+
+VERDICT_WORDING = (
+    "D20, cross-subject: M4 shows the late off-switch is VOCAB-SPARING iff BOTH "
+    "gate-bearing subjects (1.5B and 3B) clear the level bar on their gate arm — "
+    "among the gated NON-SUBSET items, the proportion that survives all 12 "
+    "subset-direction deletions has its Wilson 95% lower bound at or above 0.5. "
+    "The gate verdict is the AND over the two gate-bearing subjects; 0.5B runs, "
+    "is reported in the same shape under its standing any-direction-damage "
+    "frame, and is NOT a gate verdict, so a low 0.5B reading is never a "
+    "'not shown' gate claim (Amendment 2 (ii)). A pre-committed null is a "
+    "reportable result, never a failure. Every verdict at bar level carries its "
+    "realized survival proportion inside the verdict string, and carries the "
+    "AS-SCORED ONLY qualifier whenever a pre-registered conservative read "
+    "(residual-conservative fail-in-place, or the concept-level collapse) falls "
+    "below the bar while the as-scored read does not. The qualifier SCOPES a "
+    "claim and can never create or rescue one, so it attaches at bar level only "
+    "and never to NOT A RESULT, DEGENERATE or UNDERPOWERED. The bar is read "
+    "ONLY when the 255 M1-recorded and 468 M3-recorded cells in the strip "
+    "reproduce their recorded outcomes bit-for-bit; any mismatch is INVALID and "
+    "there is no verdict. The row and column profiles, the within- vs "
+    "cross-category split, the ordering contrast, the cluster-mean per-cell "
+    "floor and the five named cross-mention cells are descriptive by decision "
+    "(D20/D21) — reported beside, never gating."
+)
+
+
+# --- the frozen verdict strings ----------------------------------------------
+
+def _read_string(read: dict) -> str:
+    return (
+        f"{read['read']} {read['k']}/{read['n']} = {read['rate']:.3f}, "
+        f"lower {read['wilson_95'][0]:.3f}"
+    )
+
+
+def qualifier_fires(gate: dict, conservative_reads: list[dict]) -> bool:
+    """D20: the qualifier fires iff a pre-registered conservative read's Wilson
+    95% lower bound is below the bar while the as-scored read's is not.
+
+    Read literally, that condition can only be met when the as-scored read
+    CLEARS the bar — which is why the qualifier can only ever scope a pass, and
+    never creates or rescues a claim (D17's rule, carried).
+    """
+    if gate["wilson_95"][0] < SURVIVAL_LOWER_BOUND:
+        return False
+    return any(r["wilson_95"][0] < SURVIVAL_LOWER_BOUND for r in conservative_reads)
+
+
+def verdict_string(label: str, gate: dict, conservative_reads: list[dict]) -> str:
+    """D20's two templates, stated once in the brief and implemented verbatim.
+
+    base:      `<label> (k/n survive all 12 = <rate>; Wilson 95% lower <lo>)`
+    qualifier: ` — AS-SCORED ONLY (<read> k/n = <rate>, lower <lo>[; <read> ...])`
+
+    Worked (the brief's own example): `VOCAB-SPARING (44/71 survive all 12 =
+    0.620; Wilson 95% lower 0.503) — AS-SCORED ONLY (residual-conservative
+    42/71 = 0.592, lower 0.475)`.
+    """
+    base = (
+        f"{label} ({gate['k']}/{gate['n']} survive all {N_DELETIONS} = "
+        f"{gate['rate']:.3f}; Wilson 95% lower {gate['wilson_95'][0]:.3f})"
+    )
+    if not qualifier_fires(gate, conservative_reads):
+        return base
+    unknown = sorted({r["read"] for r in conservative_reads} - set(CONSERVATIVE_READ_ORDER))
+    if unknown:
+        fail_invalid(
+            f"conservative read(s) {unknown} are not in the pre-committed order "
+            f"{list(CONSERVATIVE_READ_ORDER)} — the qualifier's read order is "
+            "frozen wording, not a runtime choice"
+        )
+    fired = [
+        r for name in CONSERVATIVE_READ_ORDER
+        for r in conservative_reads
+        if r["read"] == name and r["wilson_95"][0] < SURVIVAL_LOWER_BOUND
+    ]
+    return base + f" — {QUALIFIER} (" + "; ".join(_read_string(r) for r in fired) + ")"
+
+
+def strip_verdict(
+    certified: bool,
+    degenerate_arms: list[str],
+    gate: dict,
+    conservative_reads: list[dict],
+    limit: int | None = None,
+) -> str:
+    """D20's frozen precedence: NOT A RESULT > DEGENERATE > UNDERPOWERED > the
+    level bar.
+
+    `gate` is the as-scored gate arm — `{k, n, rate, wilson_95}` — and
+    `conservative_reads` are the pre-registered never-dispositive reads whose
+    numbers the AS-SCORED ONLY qualifier names when it fires. The qualifier
+    attaches at bar level ONLY: the three higher outcomes have already withheld
+    the claim, so there is nothing left for it to scope (Amendment 2 (iii),
+    copying `m3_matrix.matrix_verdict`'s own rule for ON A DAMAGED FLOOR).
+    """
+    if limit is not None:
+        return f"NOT A RESULT — smoke run (--limit {limit})"
+    if not certified:
+        return "NOT A RESULT — uncertified environment"
+    if degenerate_arms:
+        return (
+            "DEGENERATE — no vocabulary-sparing claim "
+            f"(collapsed: {', '.join(degenerate_arms)})"
+        )
+    if gate["n"] < MIN_N:
+        return f"UNDERPOWERED — no vocabulary-sparing claim (gate arm n={gate['n']})"
+    label = PASS_LABEL if gate["wilson_95"][0] >= SURVIVAL_LOWER_BOUND else NULL_LABEL
+    return verdict_string(label, gate, conservative_reads)
+
+
+# --- the cross-subject verdict ------------------------------------------------
+
+def load(path: str) -> dict:
+    if not os.path.exists(path):
+        fail_invalid(f"{path} missing — run m4_strip.py for that subject first")
+    try:
+        with open(path) as f:
+            return json.load(f)
+    except (json.JSONDecodeError, OSError, UnicodeDecodeError) as exc:
+        fail_invalid(f"{path} could not be read as JSON: {exc}")
+
+
+def _check_crosscheck(path: str, name: str, crosscheck: dict) -> None:
+    """A partial re-certification is not a re-certification (D16's lesson, now
+    over two artifact sets): coverage is checked as well as agreement."""
+    if crosscheck.get("n_mismatches"):
+        fail_invalid(f"{path} carries {crosscheck['n_mismatches']} {name} cross-check mismatches")
+    for unit in ("items", "cells"):
+        checked = crosscheck.get(f"{unit}_checked")
+        expected = crosscheck.get(f"{unit}_expected")
+        if expected is None or checked != expected:
+            fail_invalid(
+                f"{path} {name} cross-check covered {checked} of {expected} {unit} "
+                "— a partial cross-check cannot feed the verdict (D19)"
+            )
+
+
+def check_is_a_result(path: str, run: dict) -> None:
+    """A run that was pre-declared 'not a result' never reaches the verdict."""
+    if run.get("milestone") != "M4":
+        fail_invalid(f"{path} is not an M4 strip run (milestone={run.get('milestone')!r})")
+    if run.get("smoke_limit") is not None:
+        fail_invalid(f"{path} is a SMOKE run (--limit {run['smoke_limit']}) — never a result")
+    if not run.get("environment", {}).get("certified"):
+        reasons = "; ".join(run.get("environment", {}).get("uncertified_reasons", []))
+        fail_invalid(
+            f"{path} ran off the certified environment ({reasons}) — pre-declared NOT A RESULT"
+        )
+    _check_crosscheck(path, "M1", run.get("m1_crosscheck", {}))
+    _check_crosscheck(path, "M3", run.get("m3_crosscheck", {}))
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument(
+        "--results-dir", default="results",
+        help="directory holding m4-strip-<subject>.json for the three subjects",
+    )
+    args = parser.parse_args()
+
+    runs = {}
+    for subject in SUBJECTS:
+        path = os.path.join(args.results_dir, f"m4-strip-{subject}.json")
+        run = load(path)
+        check_is_a_result(path, run)
+        runs[subject] = run
+
+    print(f"M4 VERDICT WORDING (pre-committed): {VERDICT_WORDING}\n")
+    for subject in SUBJECTS:
+        run = runs[subject]
+        sparing = run["vocabulary_sparing"]
+        gate = sparing["gate_arm"]
+        role = "gate-bearing" if subject in GATE_BEARING else "context only (never gate-bearing)"
+        print(
+            f"{subject} [{role}]: gated {run['competence']['gate_span']}/"
+            f"{run['competence']['items_run']} items, gate arm (gated non-subset) "
+            f"n={gate['n']} | survives-all-12 {gate['k']}/{gate['n']} = "
+            f"{gate['rate']:.3f} [{gate['wilson_95'][0]:.3f}, "
+            f"{gate['wilson_95'][1]:.3f}] vs bar {SURVIVAL_LOWER_BOUND} "
+            f"→ {sparing['verdict']}"
+        )
+        for read in sparing["conservative_reads"]:
+            print(
+                f"    {read['read']} (pre-registered, never dispositive): "
+                f"{read['k']}/{read['n']} = {read['rate']:.3f} "
+                f"[{read['wilson_95'][0]:.3f}, {read['wilson_95'][1]:.3f}]"
+                + (" — below the bar" if read["wilson_95"][0] < SURVIVAL_LOWER_BOUND
+                   else " — clears the bar")
+            )
+        floor = sparing["cluster_mean_floor"]
+        ordering = sparing["ordering_contrast"]["newcombe_offtarget_minus_diagonal_naming"]
+        print(
+            f"    M3-comparable cluster-mean per-cell floor (never gating): "
+            f"{floor['k']}/{floor['n']} → [{floor['wilson_95'][0]:.3f}, "
+            f"{floor['wilson_95'][1]:.3f}] vs reference line {floor['reference_line']}"
+            f" | ordering contrast (option (b), descriptive) {ordering[0]:+.3f} "
+            f"[{ordering[1]:+.3f}, {ordering[2]:+.3f}]"
+        )
+
+    print("\nWITHIN- vs CROSS-CATEGORY COLLATERAL IN THE NEW POOL (descriptive):")
+    for subject in SUBJECTS:
+        split = runs[subject]["new_pool_arms"]
+        within, cross = split["within_category"], split["cross_category"]
+        print(
+            f"  {subject}: within {within['hits']}/{within['n']} "
+            f"[{within['wilson_95'][0]:.3f},{within['wilson_95'][1]:.3f}] | cross "
+            f"{cross['hits']}/{cross['n']} "
+            f"[{cross['wilson_95'][0]:.3f},{cross['wilson_95'][1]:.3f}]"
+        )
+
+    print("\nROW PROFILES (descriptive — how much does deleting A damage the wider "
+          "vocabulary's gated items?):")
+    for subject in SUBJECTS:
+        rows = runs[subject]["row_profiles"]
+        ranked = sorted(
+            rows.items(),
+            key=lambda kv: (1.0 if kv[1]["collateral_non_subset"]["rate"] is None
+                            else kv[1]["collateral_non_subset"]["rate"]),
+        )
+        print(
+            f"  {subject}: "
+            + " ".join(f"{name}={v['collateral_non_subset']['hits']}/"
+                       f"{v['collateral_non_subset']['n']}" for name, v in ranked)
+            + "   (most collateral first)"
+        )
+
+    print("\nMOST FRAGILE PROBE COLUMNS (finding 1's mostly out-of-sample test — "
+          "are there silver-like columns among the 48?):")
+    for subject in SUBJECTS:
+        columns = runs[subject]["column_profiles"]
+        damaged = sorted(
+            (c for c, v in columns.items()
+             if v["gated_items"] and v["fragility"]["n"] and v["fragility"]["hits"] < v["fragility"]["n"]),
+            key=lambda c: columns[c]["fragility"]["rate"],
+        )
+        print(
+            f"  {subject}: "
+            + (" ".join(
+                f"{c}{'*' if columns[c]['in_subset'] else ''}="
+                f"{columns[c]['fragility']['hits']}/{columns[c]['fragility']['n']}"
+                for c in damaged[:12]) or "no damaged column")
+            + "   (* subset concept — M3's own 12)"
+        )
+
+    holds = {s: runs[s]["vocabulary_sparing"]["verdict"].startswith(PASS_LABEL)
+             for s in GATE_BEARING}
+    scoped = [s for s in GATE_BEARING if QUALIFIER in runs[s]["vocabulary_sparing"]["verdict"]]
+    context = runs[CONTEXT_ONLY[0]]["vocabulary_sparing"]
+    print(
+        f"\n0.5B FRAME (never gate-bearing): its readout is {context['verdict']} — "
+        "read under the standing any-direction-damage frame, never as a gate "
+        "claim. M3's own 0.5B subset already fails this bar in-statistic (19/28, "
+        "lower 0.4934), so a low 0.5B reading here is a finding about scale, not "
+        "a failure of the run."
+    )
+    print(
+        "\nM4 VERDICT: "
+        + (f"{PASS_LABEL} at 1.5B AND 3B — deleting any of the 12 characterized "
+           "directions at the late third spares most of the measurable wider "
+           "vocabulary"
+           + (f" — {QUALIFIER} ({', '.join(scoped)})" if scoped else "")
+           if all(holds.values()) else
+           f"{NULL_LABEL.upper()} — "
+           + "; ".join(f"{s}: {runs[s]['vocabulary_sparing']['verdict']}"
+                       for s in GATE_BEARING))
+    )
+    raise SystemExit(0)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/test_m4.py b/test_m4.py
new file mode 100644
index 0000000..e051b7d
--- /dev/null
+++ b/test_m4.py
@@ -0,0 +1,1256 @@
+"""test_m4.py — invariants for the M4 vocabulary collateral strip.
+
+The heavyweight proof that M4's instrument is still the certified instrument is
+the two cross-checks the runner performs at run time — 255 M1-recorded and 468
+M3-recorded cells, graded before a single new cell is read. These tests pin what
+a model run cannot.
+
+Most of them exist because the M4 brief's six-round review found the same class
+of defect over and over: **a prose rule that broke when read literally.** Those
+are pinned here by name, because the brief is the only place they were ever
+written down and a later edit could silently un-fix them:
+
+- the D9(b) residual selector must select EXACTLY the cells the brief counted —
+  2 at 1.5B, 2 at 3B, 0 at 0.5B. A **case-exact** reading selects 0 (the F16
+  defect: a silent no-op mitigation) and a **"fills the 3-token span"** reading
+  selects every recorded cell. The two mistakes fail in opposite directions and
+  are pinned separately;
+- the residual-conservative read's denominator is **fail in place** — the arm
+  stays at 41 / 71 / 84 and a residual-affected item scores as a failure;
+- `AS-SCORED ONLY` attaches to a **bar-level verdict only**, never to
+  DEGENERATE / UNDERPOWERED / NOT A RESULT (Amendment 2 (iii), which fixed
+  Amendment 1 attaching it to all of them);
+- the failing label is the lineage's pre-committed null `not shown`, never an
+  assertive negative (Amendment 2 (i));
+- every realized n is knowable now from the recorded artifacts, so the power
+  table is a **cross-check**, not a projection: a run that disagrees is INVALID.
+
+Several tests read the *committed* M1 and M3 artifacts. That is deliberate: the
+brief pre-registers numbers computed from them (every n in the power table, the
+ceilings, the residual set, the confound list, the zero-gated counts), and a
+pre-registration that no test pins is one a later edit can silently break.
+"""
+import json
+import re
+import sys
+import types
+
+import pytest
+import torch
+
+import m1_battery
+import m3_matrix
+import m4_strip
+import m4_verdict
+import oracle
+from harness import MIN_N
+from m4_strip import (
+    CROSS_MENTION_PAIRS,
+    EXPECTED_M1_CELLS,
+    EXPECTED_M3_CELLS,
+    GATE_WORDING,
+    PLANNED_DIRECTIONS,
+    SUBSET,
+    SUBSET_STRATA,
+    check_run_time_bars,
+    concept_categories,
+    condition_name,
+    conditions_for,
+    cross_mention_pairs,
+    expected_recorded_cells,
+    is_m1_recorded,
+    is_m3_recorded,
+    is_residual_cell,
+    load_strip_items,
+    off_target_directions,
+    plan_conditions,
+    planned_cells,
+    scored_and_direction_words,
+    strip_package,
+    survives_all,
+    wrong_opening_degeneracy,
+)
+from m4_verdict import (
+    CONSERVATIVE_READ_ORDER,
+    NULL_LABEL,
+    PASS_LABEL,
+    QUALIFIER,
+    SURVIVAL_LOWER_BOUND,
+    strip_verdict,
+    verdict_string,
+)
+from stats import wilson
+
+SUBJECTS = ("qwen2.5-0.5b-instruct", "qwen2.5-1.5b-instruct", "qwen2.5-3b-instruct")
+MODEL_IDS = {
+    "qwen2.5-0.5b-instruct": "Qwen/Qwen2.5-0.5B-Instruct",
+    "qwen2.5-1.5b-instruct": "Qwen/Qwen2.5-1.5B-Instruct",
+    "qwen2.5-3b-instruct": "Qwen/Qwen2.5-3B-Instruct",
+}
+#: The brief's power table — every entry computed from the recorded clean arm
+#: before any M4 cell existed, so each is a CROSS-CHECK the run must reproduce.
+PRE_REGISTERED = {
+    "qwen2.5-0.5b-instruct": {
+        "gated": 69, "arm": 41, "concepts": 23, "zero_gated": 25,
+        "new_pool": 492, "never_measured": 486, "recorded_in_m1": 6,
+        "ceiling": 35, "residual": [], "confound_cells": 1,
+    },
+    "qwen2.5-1.5b-instruct": {
+        "gated": 105, "arm": 71, "concepts": 41, "zero_gated": 7,
+        "new_pool": 852, "never_measured": 844, "recorded_in_m1": 8,
+        "ceiling": 69, "residual": ["beetle-1", "butterfly-1"], "confound_cells": 4,
+    },
+    "qwen2.5-3b-instruct": {
+        "gated": 116, "arm": 84, "concepts": 43, "zero_gated": 5,
+        "new_pool": 1008, "never_measured": 993, "recorded_in_m1": 15,
+        "ceiling": 82, "residual": ["butterfly-1", "trumpet-3"], "confound_cells": 4,
+    },
+}
+LATE_THIRDS = {24: list(range(17, 22)), 28: list(range(19, 25)), 36: list(range(26, 33))}
+
+
+# --- fixtures over the recorded artifacts -------------------------------------
+
+def _m1(subject):
+    return json.load(open(f"results/m1-battery-{subject}.json"))
+
+
+def _m3(subject):
+    return json.load(open(f"results/m3-matrix-{subject}.json"))
+
+
+def _items():
+    return load_strip_items()
+
+
+def _by_name():
+    return {i["name"]: i for i in _items()}
+
+
+def _recorded_gate_arm(subject):
+    """The gate arm as the recorded clean arm already fixes it: gated
+    (D9(b) on the recorded clean span) and NOT one of the 12 subset concepts."""
+    battery, recorded = _by_name(), _m1(subject)
+    return [
+        r for r in recorded["items"]
+        if battery[r["name"]]["concept"] not in SUBSET
+        and oracle.says_concept_prefix(
+            r["cells"]["clean"]["greedy_3"], battery[r["name"]]["concept"]
+        )
+    ]
+
+
+class _Tok:
+    @staticmethod
+    def decode(ids):
+        return f"tok{ids[0]}"
+
+
+class _TableTok:
+    """A tokenizer stub whose token counts come from a table — the only way to
+    exercise D22's bars without a roster edit the project would never make."""
+
+    def __init__(self, table, default=1):
+        self.table, self.default = table, default
+
+    def __call__(self, text, add_special_tokens=False):
+        return types.SimpleNamespace(input_ids=[0] * self.table.get(text, self.default))
+
+
+# --- the frozen roster, the strip frame, and the cell arithmetic ---------------
+
+def test_the_primes_are_m3s_twelve_verbatim():
+    """D19(a): M4 changes the probe side, never the prime side. The primes are
+    M3's subset — themselves M2's D11-stratified 12 — copied, not re-chosen."""
+    assert SUBSET == m3_matrix.SUBSET
+    assert SUBSET_STRATA == m3_matrix.SUBSET_STRATA
+    assert PLANNED_DIRECTIONS == SUBSET  # no control-extra directions in M4
+
+
+def test_the_probe_side_is_the_whole_frozen_battery():
+    items = _items()
+    assert len(items) == m1_battery.EXPECTED_ITEMS == 180
+    assert len({i["concept"] for i in items}) == m1_battery.EXPECTED_CONCEPTS == 60
+    assert len({i["concept"] for i in items} - set(SUBSET)) == 48
+
+
+def test_the_plan_grades_the_pre_registered_2340_cells():
+    """180 clean + 12 x 180 ablated, every cell at the identical late third."""
+    items = _items()
+    conditions = plan_conditions(LATE_THIRDS[28])
+    assert len(conditions) == 1 + len(SUBSET) == 13
+    assert planned_cells(conditions, items) == 2340
+    assert all(c["lam"] == m4_strip.STRIP_LAMBDA for c in conditions[1:])
+    assert {tuple(c["layers"]) for c in conditions[1:]} == {tuple(LATE_THIRDS[28])}
+
+
+def test_the_recorded_cells_are_graded_before_anything_new():
+    """D19(a) made literal: the phase-1 set is exactly the union of the two
+    recorded surfaces, and every remaining cell is genuinely new."""
+    items, conditions = _items(), plan_conditions(LATE_THIRDS[28])
+    recorded = sum(len(conditions_for(conditions, i)[0]) for i in items)
+    new = sum(len(conditions_for(conditions, i)[1]) for i in items)
+    assert recorded == 633   # 255 M1 + 468 M3 - 90 counted by both
+    assert new == 1707
+    assert recorded + new == planned_cells(conditions, items)
+    for item in items:
+        first, rest = conditions_for(conditions, item)
+        assert all(m4_strip.is_recorded(c, item) for c in first)
+        assert not any(m4_strip.is_recorded(c, item) for c in rest)
+
+
+def test_the_two_recorded_surfaces_are_the_pre_registered_255_and_468():
+    surfaces = expected_recorded_cells(_items())
+    assert surfaces == {"m1_cells": EXPECTED_M1_CELLS, "m1_items": 180,
+                        "m3_cells": EXPECTED_M3_CELLS, "m3_items": 36}
+    assert (EXPECTED_M1_CELLS, EXPECTED_M3_CELLS) == (255, 468)
+
+
+def test_a_drifted_battery_breaks_the_recertification_surface():
+    items = [i for i in _items() if i["name"] != "france-1"]
+    with pytest.raises(ValueError, match="re-certification surface drifted"):
+        expected_recorded_cells(items)
+
+
+def test_which_cells_each_recorded_surface_claims():
+    """The two predicates are the whole mapping, so they are pinned per role:
+    M1 recorded `clean` for every item and the concept/control directions when
+    those are primes; M3 recorded all 13 cells of a subset item and nothing else."""
+    conditions = plan_conditions(LATE_THIRDS[28])
+    france = {"concept": "France", "control": "Canada"}          # both primes
+    lion = {"concept": "lion", "control": "tiger"}               # neither
+    july = {"concept": "July", "control": "October"}             # control only
+    assert [c["name"] for c in conditions if is_m1_recorded(c, france)] == [
+        "clean", condition_name("Canada"), condition_name("France")]
+    assert [c["name"] for c in conditions if is_m1_recorded(c, lion)] == ["clean"]
+    assert [c["name"] for c in conditions if is_m1_recorded(c, july)] == [
+        "clean", condition_name("October")]
+    assert all(is_m3_recorded(c, france) for c in conditions)
+    assert not any(is_m3_recorded(c, lion) for c in conditions)
+
+
+def test_off_target_is_twelve_for_every_gate_arm_concept_and_eleven_for_a_prime():
+    """The gate statistic is 'survives all 12'. A non-subset probe faces all 12
+    primes; a subset probe faces 11 (its own direction is the diagonal, not
+    off-target) — which is exactly why the gate arm excludes the subset."""
+    for concept in {i["concept"] for i in _items()} - set(SUBSET):
+        assert len(off_target_directions(concept)) == 12
+    for concept in SUBSET:
+        assert len(off_target_directions(concept)) == 11
+        assert concept not in off_target_directions(concept)
+
+
+# --- the power table, cross-checked against the recorded artifacts ------------
+
+@pytest.mark.parametrize("subject", SUBJECTS)
+def test_every_realized_n_is_fixed_before_the_run(subject):
+    """Gating is the deterministic clean arm and every clean cell is M1-recorded,
+    so the brief's power table is knowable now. A run that disagrees is an
+    INVALID cross-check, not a power surprise — that claim is only true if these
+    numbers really do come out of the recorded artifacts."""
+    expected = PRE_REGISTERED[subject]
+    battery, recorded = _by_name(), _m1(subject)
+    gated = [
+        r for r in recorded["items"]
+        if oracle.says_concept_prefix(
+            r["cells"]["clean"]["greedy_3"], battery[r["name"]]["concept"]
+        )
+    ]
+    arm = _recorded_gate_arm(subject)
+    concepts = {battery[r["name"]]["concept"] for r in arm}
+    assert len(gated) == expected["gated"]
+    assert len(arm) == expected["arm"] >= MIN_N
+    assert len(concepts) == expected["concepts"] >= MIN_N
+    assert 48 - len(concepts) == expected["zero_gated"]
+    assert len(arm) * 12 == expected["new_pool"]
+
+
+@pytest.mark.parametrize("subject", SUBJECTS)
+def test_the_pre_registered_ceiling_comes_from_cells_m1_already_recorded(subject):
+    """6 / 8 / 15 gate-arm cells are M1 `control_late` cells whose direction is a
+    prime, so their outcomes were fixed before the run and their misses cap the
+    arm at 35/41, 69/71, 82/84. A fact about the arm, never evidence for the
+    gate."""
+    expected = PRE_REGISTERED[subject]
+    battery = _by_name()
+    arm = _recorded_gate_arm(subject)
+    already = [r for r in arm if battery[r["name"]]["control"] in SUBSET]
+    misses = [
+        r["name"] for r in already
+        if not oracle.says_concept_prefix(
+            r["cells"]["control_late"]["greedy_3"], battery[r["name"]]["concept"]
+        )
+    ]
+    assert len(already) == expected["recorded_in_m1"]
+    assert len(arm) * 12 - len(already) == expected["never_measured"]
+    assert len(arm) - len(misses) == expected["ceiling"]
+
+
+def test_the_bar_needs_44_of_71_at_1_5b_and_43_fails():
+    """The brief's worked bar, computed with the project's own frozen ruler."""
+    assert wilson(44, 71)[0] >= SURVIVAL_LOWER_BOUND
+    assert wilson(43, 71)[0] < SURVIVAL_LOWER_BOUND
+    # and the rejected shrinking denominator would have passed the same numerator
+    assert wilson(43, 69)[0] >= SURVIVAL_LOWER_BOUND
+
+
+# --- the D9(b) residual selector (the F16 defect, pinned from both sides) ------
+
+@pytest.mark.parametrize("subject", SUBJECTS)
+def test_the_residual_selector_selects_exactly_the_cells_the_brief_counted(subject):
+    """0 / 2 / 2 gate-arm clean cells — 1.5B beetle-1 and butterfly-1, 3B
+    trumpet-3 and butterfly-1. This is the brief's own count, and the mitigation
+    it feeds is only worth anything if the set is non-empty where it says."""
+    battery = _by_name()
+    selected = sorted(
+        r["name"] for r in _recorded_gate_arm(subject)
+        if is_residual_cell(
+            r["cells"]["clean"]["greedy_3"], battery[r["name"]]["concept"]
+        )
+    )
+    assert selected == PRE_REGISTERED[subject]["residual"]
+
+
+@pytest.mark.parametrize("subject", SUBJECTS)
+def test_a_case_exact_selector_would_select_nothing(subject):
+    """The F16 defect: the recorded spans are capitalised ('Beetle') and the
+    roster spellings are not, so a case-EXACT rule silently turns the whole
+    residual-conservative read into a no-op. The frozen selector compares
+    case-insensitively, exactly as `oracle.says_concept_prefix` does."""
+    battery = _by_name()
+    case_exact = [
+        r["name"] for r in _recorded_gate_arm(subject)
+        if r["cells"]["clean"]["greedy_3"].lstrip() == battery[r["name"]]["concept"]
+    ]
+    assert case_exact == []
+
+
+def test_the_selector_is_not_fills_the_span_which_would_select_every_cell():
+    """The other failure direction: every recorded `greedy_3` is exactly
+    SPAN_TOKENS tokens by construction, so 'the span is full' selects all of
+    them. The frozen rule is 'the span EQUALS the spelling with nothing
+    following it'."""
+    assert is_residual_cell("Beetle", "beetle")          # nothing follows
+    assert not is_residual_cell("Beetle<|im_end|>", "beetle")   # a boundary IS observed
+    assert not is_residual_cell("Beetlejuice", "beetle")        # a longer word
+    assert is_residual_cell("  Butterfly", "butterfly")   # leading whitespace stripped
+    assert not is_residual_cell("Butterfly ", "butterfly")  # a trailing space closes it
+    assert not is_residual_cell("France<|im_end|>\n", "France")
+
+
+def test_the_recorded_span_is_always_full_which_is_why_the_span_bar_cannot_catch_it():
+    """`greedy_continuation` always decodes exactly SPAN_TOKENS tokens, so D22's
+    span bar passes at exactly <= 3 tokens — which IS the residual condition. The
+    residual is carried by disclosure plus the conservative read, never by a bar."""
+    class _Stub:
+        tokenizer = types.SimpleNamespace(decode=lambda ids: "|".join(map(str, ids)))
+
+    calls = []
+
+    def fake_logits(subject, ids, edits):
+        calls.append(edits)
+        return torch.tensor([0.0, 1.0, 0.0])
+
+    original = m4_strip.output_logits
+    m4_strip.output_logits = fake_logits
+    try:
+        span = m4_strip.greedy_continuation(
+            _Stub(), torch.tensor([[7]]), {0: "edit"}, first_id=5
+        )
+    finally:
+        m4_strip.output_logits = original
+    assert span == "5|1|1"                       # exactly SPAN_TOKENS ids
+    assert len(calls) == oracle.SPAN_TOKENS - 1  # edits re-applied every pass
+    assert all(c == {0: "edit"} for c in calls)
+
+
+# --- the gate arithmetic and its two conservative reads -----------------------
+
+def _cell(produced, greedy_id=1, mass=0.9, residual=False):
+    return {"produced": produced, "greedy_3": "X", "residual": residual,
+            "produced_first_token": produced, "greedy": "X", "greedy_id": greedy_id,
+            "concept_mass": mass, "says_concept_in_3": produced}
+
+
+def _record(name, concept, category, control="Canada", gate=True, misses=(),
+            residual=(), eligible=True):
+    """One graded item. `misses` names the primes whose cell is a miss;
+    `residual` names the conditions ('clean' or a prime) whose cell is a D9(b)
+    residual."""
+    cells = {"clean": _cell(gate, residual="clean" in residual)}
+    for word in SUBSET:
+        cells[condition_name(word)] = _cell(word not in misses, residual=word in residual)
+    return {
+        "name": name, "category": category, "concept": concept, "control": control,
+        "source": "constructed", "in_subset": concept in SUBSET,
+        "direction_key": "bare", "mass_channel_eligible": eligible, "cells": cells,
+        "gate_span": gate, "gate_first_token": gate, "gate_verbatim_p": True,
+    }
+
+
+def _package(records, confounds=()):
+    return strip_package(records, concept_categories(_items()), _Tok(), list(confounds))
+
+
+def _arm(n_survivors, n_total, concept_pool=("lion", "shark", "gold", "ruby")):
+    """`n_total` gated non-subset items, `n_survivors` of which survive all 12."""
+    categories = concept_categories(_items())
+    records = []
+    for i in range(n_total):
+        concept = concept_pool[i % len(concept_pool)]
+        records.append(_record(
+            f"item-{i}", concept, categories[concept],
+            misses=() if i < n_survivors else ("France",),
+        ))
+    return records
+
+
+def test_the_gate_is_the_survives_all_twelve_conjunction_on_the_gated_non_subset():
+    package = _package(
+        _arm(30, 40)
+        # a subset item and an ungated item are both outside the arm
+        + [_record("france-1", "France", "countries", control="Canada")]
+        + [_record("out-1", "lion", "animals", gate=False)]
+    )
+    gate = package["vocabulary_sparing"]["gate_arm"]
+    assert (gate["k"], gate["n"]) == (30, 40)
+    assert package["competence"]["gate_span"] == 41   # the subset item is gated too
+    assert package["competence"]["gate_arm_n"] == 40
+
+
+def test_a_single_fragile_cell_fails_an_item():
+    """survives-all-12 is the strictest sparing statistic — the trade-off the
+    brief owns, and the bias direction runs against the claim."""
+    record = _record("lion-1", "lion", "animals", misses=("silver",))
+    assert not survives_all(record, off_target_directions("lion"))
+    assert survives_all(_record("lion-2", "lion", "animals"), off_target_directions("lion"))
+
+
+def test_the_residual_conservative_read_fails_in_place():
+    """D20's pre-registered denominator: the arm stays at its as-scored n and a
+    residual-affected item scores as a FAILURE. The rejected alternative would
+    have un-gated the item and shrunk the arm — the less conservative reading at
+    the bar."""
+    records = _arm(44, 71)
+    # two survivors carry a residual CLEAN cell — the 1.5B situation exactly
+    records[0]["cells"]["clean"]["residual"] = True
+    records[1]["cells"]["clean"]["residual"] = True
+    reads = _package(records)["vocabulary_sparing"]["conservative_reads"]
+    residual = next(r for r in reads if r["read"] == "residual-conservative")
+    assert (residual["k"], residual["n"]) == (42, 71)   # NOT 42/69
+
+
+def test_a_residual_off_target_cell_also_fails_its_item():
+    """The read re-scores EVERY residual cell as a miss, not only clean ones."""
+    records = _arm(44, 71)
+    records[0]["cells"][condition_name("France")]["residual"] = True
+    reads = _package(records)["vocabulary_sparing"]["conservative_reads"]
+    residual = next(r for r in reads if r["read"] == "residual-conservative")
+    assert (residual["k"], residual["n"]) == (43, 71)
+
+
+def test_the_conservative_read_is_strictly_one_way():
+    """It can only lower the floor, never rescue it: with no residual cells it
+    equals the as-scored read exactly."""
+    package = _package(_arm(44, 71))
+    gate = package["vocabulary_sparing"]["gate_arm"]
+    residual = package["vocabulary_sparing"]["conservative_reads"][0]
+    assert (residual["k"], residual["n"]) == (gate["k"], gate["n"])
+
+
+def test_the_concept_level_collapse_is_one_binary_per_concept():
+    """Items cluster three-per-concept on the probe side. The collapse asks
+    'every gated item of this concept survives all 12', over the non-subset
+    concepts with >= 1 gated item."""
+    categories = concept_categories(_items())
+    records = [
+        _record("lion-1", "lion", categories["lion"]),
+        _record("lion-2", "lion", categories["lion"], misses=("France",)),
+        _record("shark-1", "shark", categories["shark"]),
+        _record("gold-1", "gold", categories["gold"]),
+    ]
+    reads = _package(records)["vocabulary_sparing"]["conservative_reads"]
+    concept = next(r for r in reads if r["read"] == "concept-level")
+    assert (concept["k"], concept["n"]) == (2, 3)   # lion fails, shark + gold survive
+
+
+def test_the_conservative_reads_are_reported_in_the_frozen_order():
+    reads = _package(_arm(30, 40))["vocabulary_sparing"]["conservative_reads"]
+    assert [r["read"] for r in reads] == list(CONSERVATIVE_READ_ORDER)
+
+
+# --- the verdict string and its qualifier -------------------------------------
+
+def _gate(k, n):
+    lo, hi = wilson(k, n)
+    return {"k": k, "n": n, "rate": k / n, "wilson_95": [lo, hi]}
+
+
+def _read(name, k, n):
+    lo, hi = wilson(k, n)
+    return {"read": name, "k": k, "n": n, "rate": k / n, "wilson_95": [lo, hi]}
+
+
+def test_the_verdict_string_is_the_frozen_template_worked_example():
+    """The brief states the template once and this implements it verbatim —
+    including the brief's own worked example, byte for byte."""
+    assert strip_verdict(
+        True, [], _gate(44, 71),
+        [_read("residual-conservative", 42, 71), _read("concept-level", 30, 41)],
+    ) == (
+        "VOCAB-SPARING (44/71 survive all 12 = 0.620; Wilson 95% lower 0.503) — "
+        "AS-SCORED ONLY (residual-conservative 42/71 = 0.592, lower 0.475)"
+    )
+
+
+def test_the_failing_label_is_the_lineage_null_and_carries_its_proportion():
+    """Amendment 2 (i): failing a Wilson LOWER bound does not establish the
+    contrary — at 1.5B k = 40 has a point estimate ABOVE the bar with a
+    straddling interval — so the failing label is `not shown`, never an
+    assertive negative."""
+    verdict = strip_verdict(True, [], _gate(40, 71), [_read("concept-level", 30, 41)])
+    assert verdict.startswith(NULL_LABEL)
+    assert "40/71 survive all 12 = 0.563" in verdict
+    assert "NOT VOCAB-SPARING" not in verdict
+    # the lineage precedent the amendment cites, checked rather than asserted:
+    # all three predecessor runners emit this exact label on a failed gate
+    for source in ("m1_battery.py", "m2_depth.py", "m3_matrix.py"):
+        assert f'"{NULL_LABEL}"' in open(source).read()
+
+
+def test_the_qualifier_fires_only_when_a_conservative_read_falls_below_the_bar():
+    clean = [_read("residual-conservative", 44, 71), _read("concept-level", 35, 41)]
+    assert QUALIFIER not in strip_verdict(True, [], _gate(44, 71), clean)
+    below = [_read("residual-conservative", 42, 71), _read("concept-level", 35, 41)]
+    assert QUALIFIER in strip_verdict(True, [], _gate(44, 71), below)
+
+
+def test_the_qualifier_can_never_create_or_rescue_a_claim():
+    """D17's carried rule: when the as-scored read is already below the bar there
+    is no claim to scope, so the qualifier cannot appear beside `not shown`."""
+    verdict = strip_verdict(
+        True, [], _gate(40, 71),
+        [_read("residual-conservative", 38, 71), _read("concept-level", 20, 41)],
+    )
+    assert verdict.startswith(NULL_LABEL)
+    assert QUALIFIER not in verdict
+
+
+def test_both_reads_appear_in_the_frozen_order_when_both_fire():
+    verdict = strip_verdict(
+        True, [], _gate(45, 71),
+        [_read("concept-level", 20, 41), _read("residual-conservative", 43, 71)],
+    )
+    fired = verdict.split(QUALIFIER, 1)[1]
+    assert fired.index("residual-conservative") < fired.index("concept-level")
+
+
+def test_an_unknown_conservative_read_is_wrong_arm_input(capsys):
+    """The read order is frozen wording, not a runtime choice."""
+    with pytest.raises(SystemExit) as exc:
+        verdict_string(PASS_LABEL, _gate(44, 71), [_read("made-up-read", 1, 71)])
+    assert exc.value.code == 2
+    assert "not in the pre-committed order" in capsys.readouterr().out
+
+
+@pytest.mark.parametrize(
+    "kwargs, expected",
+    [
+        ({"limit": 3}, "NOT A RESULT — smoke run"),
+        ({"certified": False}, "NOT A RESULT — uncertified environment"),
+        ({"degenerate_arms": ["new_pool_off_target"]}, "DEGENERATE"),
+        ({"gate": _gate(10, 19)}, "UNDERPOWERED"),
+    ],
+)
+def test_the_qualifier_never_attaches_above_bar_level(kwargs, expected):
+    """Amendment 2 (iii), the whole point of the amendment: Amendment 1 attached
+    AS-SCORED ONLY to NOT A RESULT / DEGENERATE / UNDERPOWERED, contradicting the
+    D17 rule it cited. Precedence has already withheld the claim there, so the
+    qualifier has nothing to scope."""
+    call = {"certified": True, "degenerate_arms": [], "gate": _gate(44, 71),
+            "conservative_reads": [_read("residual-conservative", 42, 71)],
+            "limit": None}
+    call.update(kwargs)
+    verdict = strip_verdict(
+        call["certified"], call["degenerate_arms"], call["gate"],
+        call["conservative_reads"], call["limit"],
+    )
+    assert verdict.startswith(expected)
+    assert QUALIFIER not in verdict
+
+
+def test_verdict_precedence_is_frozen():
+    """NOT A RESULT > DEGENERATE > UNDERPOWERED > the level bar."""
+    reads = [_read("residual-conservative", 42, 71)]
+    assert strip_verdict(False, ["new_pool_off_target"], _gate(1, 2), reads, 5).startswith(
+        "NOT A RESULT — smoke run")
+    assert strip_verdict(False, ["new_pool_off_target"], _gate(1, 2), reads).startswith(
+        "NOT A RESULT — uncertified")
+    assert strip_verdict(True, ["new_pool_off_target"], _gate(1, 2), reads).startswith(
+        "DEGENERATE")
+    assert strip_verdict(True, [], _gate(1, 2), reads).startswith("UNDERPOWERED")
+    assert strip_verdict(True, [], _gate(44, 71), reads).startswith(PASS_LABEL)
+
+
+def test_the_bar_is_at_or_above_not_strictly_above():
+    """'has its Wilson 95% lower bound AT OR ABOVE 0.5' — read literally."""
+    gate = _gate(44, 71)
+    gate["wilson_95"] = [SURVIVAL_LOWER_BOUND, 0.9]
+    assert strip_verdict(True, [], gate, []).startswith(PASS_LABEL)
+    gate["wilson_95"] = [SURVIVAL_LOWER_BOUND - 1e-9, 0.9]
+    assert strip_verdict(True, [], gate, []).startswith(NULL_LABEL)
+
+
+# --- the re-scoped degeneracy guard -------------------------------------------
+
+def _cells(pairs):
+    return [_cell(produced, greedy_id=token) for produced, token in pairs]
+
+
+def test_the_dispositive_guard_pools_wrong_openings_only():
+    """D14's mechanism, carried: the attractor is taken over NON-PRODUCED cells,
+    with the share against the arm's full cell count."""
+    guard = wrong_opening_degeneracy(
+        _cells([(True, 9), (True, 9), (False, 4), (False, 4)]), _Tok()
+    )
+    assert guard["attractor_token"] == "tok4"
+    assert guard["share"] == 0.5 and guard["collapsed"]
+    assert wrong_opening_degeneracy(_cells([(True, 9)] * 4), _Tok())["collapsed"] is False
+
+
+def test_the_dispositive_list_has_exactly_one_arm():
+    """PR #9 F1's conjunction-degeneracy obligation, discharged by design: M4's
+    gate is single-clause, so the surviving-side list is exactly the pooled
+    non-subset off-target arm — and the frozen wording names it."""
+    wording = GATE_WORDING["degeneracy"]
+    assert "SINGLE-CLAUSE" in wording and "exactly ONE surviving arm" in wording
+    assert "NON-SUBSET OFF-TARGET arm" in wording
+    assert "subset DIAGONAL => TAG only" in wording
+    assert "`clean` stays off the dispositive list" in wording
+    assert "every surviving arm goes on this list" in wording
+
+
+# --- the D21 cross-mention confound -------------------------------------------
+
+def test_the_cross_mention_list_is_exactly_the_frozen_five():
+    battery = json.load(open(m4_strip.ITEMS_PATH))
+    scanned = cross_mention_pairs(_items(), battery["forbidden_forms"])
+    assert sorted(scanned) == sorted(CROSS_MENTION_PAIRS)
+    assert len(CROSS_MENTION_PAIRS) == 5
+
+
+def test_the_prefix_rule_is_what_finds_the_inflected_mention():
+    """D5's own rule is a PREFIX rule. A whole-word scan would miss
+    `Egypt -> beetle-2` ('Ancient EgyptIANS carved amulets of the scarab'), which
+    is exactly why the brief states the rule instead of assuming it."""
+    clue = next(i for i in _items() if i["name"] == "beetle-2")["clue"]
+    words = re.findall(r"[a-z']+", clue.lower())
+    assert "egypt" not in words                       # a whole-word scan finds nothing
+    assert any(w.startswith("egypt") for w in words)  # the prefix rule finds it
+    assert ("Egypt", "beetle-2") in CROSS_MENTION_PAIRS
+
+
+def test_a_drifted_clue_breaks_the_frozen_confound_list(monkeypatch):
+    items = _items()
+    for item in items:
+        if item["name"] == "lion-1":
+            item["clue"] = item["clue"] + " It happened in October."
+    monkeypatch.setattr(m4_strip, "load_items", lambda path=m4_strip.ITEMS_PATH: items)
+    with pytest.raises(ValueError, match="cross-mentions"):
+        load_strip_items()
+
+
+@pytest.mark.parametrize("subject", SUBJECTS)
+def test_the_confound_cells_that_are_live_today_are_the_briefs_count(subject):
+    """1 / 4 / 4 gate-bearing cells; `beetle-2` is ungated on all three subjects,
+    so it carries none today and is listed only so a future re-gate cannot
+    silently acquire one."""
+    battery, recorded = _by_name(), _m1(subject)
+    gated = {
+        r["name"] for r in recorded["items"]
+        if oracle.says_concept_prefix(
+            r["cells"]["clean"]["greedy_3"], battery[r["name"]]["concept"]
+        )
+    }
+    live = [(p, n) for p, n in CROSS_MENTION_PAIRS if n in gated]
+    assert len(live) == PRE_REGISTERED[subject]["confound_cells"]
+    assert "beetle-2" not in gated
+
+
+def test_the_confound_cells_stay_in_the_gate_bearing_pool():
+    """D21(a): a confounded miss can only LOWER the floor, so the bias runs
+    against the gate. Excluding them would be evidence-removal in the gate's
+    favour — the anti-conservative move the lineage never makes."""
+    categories = concept_categories(_items())
+    records = _arm(3, 4) + [
+        _record("jade-1", "jade", categories["jade"], misses=("China",))
+    ]
+    package = _package(records, confounds=[("China", "jade-1")])
+    gate = package["vocabulary_sparing"]["gate_arm"]
+    assert gate["n"] == 5 and gate["k"] == 3      # jade-1 is IN the arm, and fails
+    row = package["cross_mention_cells"][0]
+    assert row["in_gate_arm"] and row["produced_under_prime"] is False
+
+
+# --- D22(a): the run-time instrument bars, widened to all 60 ------------------
+
+def test_the_bars_read_every_scored_word_plus_every_direction_word():
+    words = scored_and_direction_words(_items())
+    assert len(words) == 60
+    assert set(SUBSET) <= set(words)
+    assert set(words) == {i["concept"] for i in _items()} | set(SUBSET)
+
+
+def test_a_word_longer_than_the_span_fails_the_bar(capsys):
+    tok = _TableTok({"lion": 4, " lion": 4})
+    with pytest.raises(SystemExit) as exc:
+        check_run_time_bars(["lion", "shark"], tok)
+    assert exc.value.code == 2
+    assert "D22 span bar" in capsys.readouterr().out
+
+
+def test_the_span_bar_reads_the_leading_space_form_not_only_the_bare_one(capsys):
+    """`opal` is 1 token bare but 2 space-prefixed on all three tokenizers — the
+    pinned case from D18's widening, carried."""
+    tok = _TableTok({"opal": 1, " opal": 4})
+    with pytest.raises(SystemExit) as exc:
+        check_run_time_bars(["opal"], tok)
+    assert exc.value.code == 2
+    assert "bare=1 space=4" in capsys.readouterr().out
+
+
+def test_a_non_ascii_word_fails_the_ascii_bar(capsys):
+    with pytest.raises(SystemExit) as exc:
+        check_run_time_bars(["café"], _TableTok({}))
+    assert exc.value.code == 2
+    assert "D22 ASCII bar" in capsys.readouterr().out
+
+
+def test_the_bars_pass_and_record_their_measurements():
+    bars = check_run_time_bars(["lion", "opal"], _TableTok({" opal": 3}))
+    assert bars["worst_form_length"] == 3 and bars["all_ascii"]
+    assert bars["words_checked"] == 2
+    assert bars["form_lengths"]["opal"] == [1, 3]
+
+
+@pytest.mark.parametrize("subject", SUBJECTS)
+def test_the_whole_sixty_word_roster_clears_both_bars_on_the_real_tokenizer(subject):
+    """The brief's advance verification (2026-07-28), pinned: all 60 concepts fit
+    the 3-token span in both forms on all three Qwen2.5 tokenizers and are pure
+    ASCII. The run-time bar still runs — D22's point is that the premise must
+    hold at the moment of measurement."""
+    tok = m4_strip.transformers.AutoTokenizer.from_pretrained(MODEL_IDS[subject])
+    bars = check_run_time_bars(scored_and_direction_words(_items()), tok)
+    assert bars["worst_form_length"] <= oracle.SPAN_TOKENS
+    assert bars["words_checked"] == 60
+
+
+def test_the_oracle_module_is_untouched_by_the_bars():
+    """`oracle.py` is byte-shared by a fourth consumer now. The bars PIN its
+    premises; they never alter its rule."""
+    assert oracle.SPAN_TOKENS == 3
+    assert oracle._BOUNDARY == r"(?![A-Za-z0-9])"
+    assert oracle.says_concept_prefix(*oracle.SPAN_FILL_TEST_CASE[:2]) is (
+        oracle.SPAN_FILL_TEST_CASE[2]
+    )
+
+
+# --- validate(): every wrong-arm guard proved by its printed reason ------------
+
+class _FakeSpec:
+    d_model = 896
+    n_layers = 24
+
+
+class _Args:
+    def __init__(self, **kw):
+        self.model_id = "Qwen/Qwen2.5-0.5B-Instruct"
+        self.m1 = None
+        self.m3 = None
+        self.__dict__.update(kw)
+
+
+def _good_artifact():
+    return {"model_id": "Qwen/Qwen2.5-0.5B-Instruct", "d_model": 896,
+            "J": {l: None for l in range(23)}}
+
+
+def _bar_clearing_tok():
+    table = {}
+    for word in scored_and_direction_words(_items()):
+        table[word] = table[" " + word] = 1
+    return _TableTok(table)
+
+
+@pytest.mark.parametrize(
+    "mutate, expected",
+    [
+        (lambda a: a.update(model_id="Qwen/Qwen2.5-1.5B-Instruct"), "was fitted on"),
+        (lambda a: a.update(d_model=1536), "d_model"),
+        (lambda a: a.update(J={l: None for l in range(5)}), "lens layers"),
+    ],
+)
+def test_validate_names_the_guard_that_fired(mutate, expected, capsys):
+    artifact = _good_artifact()
+    mutate(artifact)
+    with pytest.raises(SystemExit) as exc:
+        m4_strip.validate(_Args(), artifact, _FakeSpec(), _bar_clearing_tok())
+    assert exc.value.code == 2
+    assert expected in capsys.readouterr().out
+
+
+def test_validate_accepts_the_real_configuration():
+    band, m1, m3, bars = m4_strip.validate(
+        _Args(), _good_artifact(), _FakeSpec(), _bar_clearing_tok()
+    )
+    assert band == list(range(9, 22))
+    # both artifacts are RETURNED, so main() never re-parses either
+    assert (m1["milestone"], m3["milestone"]) == ("M1", "M3")
+    assert bars["worst_form_length"] == 1
+
+
+def test_validate_runs_the_d22_bars_before_it_reaches_either_artifact(capsys):
+    tok = _TableTok({}, default=4)
+    with pytest.raises(SystemExit) as exc:
+        m4_strip.validate(_Args(), _good_artifact(), _FakeSpec(), tok)
+    assert exc.value.code == 2
+    assert "D22 span bar" in capsys.readouterr().out
+
+
+def _recorded_file(tmp_path, name, **fields):
+    run = {
+        "milestone": "M1", "model_id": "Qwen/Qwen2.5-0.5B-Instruct",
+        "band": list(range(9, 22)), "smoke_limit": None,
+        "environment": {"certified": True, "uncertified_reasons": []},
+        "items": [],
+    }
+    run.update(fields)
+    path = tmp_path / name
+    path.write_text(json.dumps(run))
+    return str(path)
+
+
+@pytest.mark.parametrize("milestone", ["M1", "M3"])
+@pytest.mark.parametrize(
+    "overrides, expected",
+    [
+        ({"milestone": "M0"}, "is not an"),
+        ({"model_id": "Qwen/Qwen2.5-3B-Instruct"}, "are for"),
+        ({"band": [1, 2, 3]}, "were run on band"),
+        ({"smoke_limit": 5}, "SMOKE run"),
+        ({"environment": {"certified": False, "uncertified_reasons": ["device 'cpu'"]}},
+         "NOT A RESULT"),
+    ],
+)
+def test_a_cross_check_target_that_is_not_a_result_is_refused(
+    milestone, overrides, expected, tmp_path, capsys
+):
+    """M4 refuses M1 OR M3 artifacts that were themselves not results — a run
+    that was pre-declared not to be a result cannot certify anything."""
+    fields = {"milestone": milestone, **overrides}
+    args = _Args(**{
+        milestone.lower(): _recorded_file(tmp_path, f"{milestone}.json", **fields)
+    })
+    with pytest.raises(SystemExit) as exc:
+        m4_strip.validate(args, _good_artifact(), _FakeSpec(), _bar_clearing_tok())
+    assert exc.value.code == 2
+    assert expected in capsys.readouterr().out
+
+
+@pytest.mark.parametrize("milestone", ["M1", "M3"])
+def test_validate_rejects_a_missing_recording(milestone, tmp_path, capsys):
+    args = _Args(**{milestone.lower(): str(tmp_path / "absent.json")})
+    with pytest.raises(SystemExit) as exc:
+        m4_strip.validate(args, _good_artifact(), _FakeSpec(), _bar_clearing_tok())
+    assert exc.value.code == 2
+    assert f"{milestone} results" in capsys.readouterr().out
+
+
+@pytest.mark.parametrize("limit", [0, -1])
+def test_a_non_positive_limit_is_wrong_arm_input(limit, monkeypatch, capsys):
+    monkeypatch.setattr(sys, "argv", [
+        "m4_strip.py", "--model-id", "Qwen/Qwen2.5-0.5B-Instruct",
+        "--lens", "lenses/qwen2.5-0.5b-instruct-n100.pt", "--limit", str(limit),
+    ])
+    with pytest.raises(SystemExit) as exc:
+        m4_strip.main()
+    assert exc.value.code == 2
+    assert "--limit must be a positive item count" in capsys.readouterr().out
+
+
+def test_a_dry_run_never_loads_the_checkpoint(monkeypatch, capsys):
+    """PR #7 review F6's disposition, carried: a `--dry-run` or a wrong-arm exit
+    must not pay for a checkpoint load. This passes only because no model was
+    touched."""
+    def refuse(*args, **kwargs):
+        raise AssertionError("the checkpoint must not load on a --dry-run")
+
+    monkeypatch.setattr(
+        m4_strip.transformers.AutoModelForCausalLM, "from_pretrained", refuse
+    )
+    monkeypatch.setattr(sys, "argv", [
+        "m4_strip.py", "--model-id", "Qwen/Qwen2.5-0.5B-Instruct",
+        "--lens", "lenses/qwen2.5-0.5b-instruct-n100.pt", "--dry-run",
+    ])
+    with pytest.raises(SystemExit) as exc:
+        m4_strip.main()
+    assert exc.value.code == 0
+    printed = capsys.readouterr().out
+    assert "no checkpoint loaded" in printed
+    assert "cells 2340" in printed
+    assert "255 M1 cells / 468 M3 cells" in printed
+
+
+# --- the two cross-checks -----------------------------------------------------
+
+def _ours(name, concept, control, span="France<|im_end|>", greedy="France", mass=0.5):
+    cells = {
+        key: {"greedy": greedy, "greedy_3": span, "concept_mass": mass}
+        for key in ["clean"] + [condition_name(w) for w in SUBSET]
+    }
+    return {"name": name, "concept": concept, "control": control, "cells": cells}
+
+
+def _theirs_m1(name, span="France<|im_end|>", greedy="France", mass=0.5):
+    return {"name": name, "cells": {
+        c: {"greedy": greedy, "greedy_3": span, "concept_mass": mass}
+        for c in m4_strip.M1_SHARED_CONDITIONS}}
+
+
+def _theirs_m3(name, span="France<|im_end|>", greedy="France", mass=0.5):
+    return {"name": name, "cells": {
+        c: {"greedy": greedy, "greedy_3": span, "concept_mass": mass}
+        for c in ["clean"] + [condition_name(w) for w in SUBSET]}}
+
+
+def test_the_m1_cross_check_maps_direction_cells_onto_m1s_condition_names():
+    """M4 keys cells by ablated direction; M1 keyed them by condition. The
+    mapping is per item, and a non-prime concept or control contributes no cell."""
+    mismatches, texture = m4_strip.m1_crosscheck(
+        [_ours("france-1", "France", "Canada"),      # both primes -> 3 cells
+         _ours("july-1", "July", "October"),         # control only -> 2 cells
+         _ours("lion-1", "lion", "tiger")],          # neither -> 1 cell
+        {"items": [_theirs_m1(n) for n in ("france-1", "july-1", "lion-1")]},
+    )
+    assert mismatches == []
+    assert texture["cells_checked"] == 6
+    assert texture["items_checked"] == 3
+
+
+def test_the_m3_cross_check_reads_only_the_subset_items_and_all_thirteen_cells():
+    mismatches, texture = m4_strip.m3_crosscheck(
+        [_ours("france-1", "France", "Canada"), _ours("lion-1", "lion", "tiger")],
+        {"items": [_theirs_m3("france-1")]},
+    )
+    assert mismatches == []
+    assert (texture["items_checked"], texture["cells_checked"]) == (1, 13)
+    assert texture["cells_expected"] == EXPECTED_M3_CELLS
+
+
+@pytest.mark.parametrize("field, drift", [("greedy", ("Paris",)), ("greedy_3", ("Paris!",))])
+def test_the_cross_checks_catch_a_drifted_string_on_either_recorded_field(field, drift):
+    kwargs = {"greedy": drift[0]} if field == "greedy" else {"span": drift[0]}
+    for checker, theirs in (
+        (m4_strip.m1_crosscheck, _theirs_m1("france-1", **kwargs)),
+        (m4_strip.m3_crosscheck, _theirs_m3("france-1", **kwargs)),
+    ):
+        mismatches, _ = checker(
+            [_ours("france-1", "France", "Canada")], {"items": [theirs]}
+        )
+        assert mismatches and all(field in m for m in mismatches)
+
+
+def test_the_cross_checks_treat_mass_as_texture_and_flag_an_absent_item():
+    mismatches, texture = m4_strip.m1_crosscheck(
+        [_ours("france-1", "France", "Canada", mass=0.5)],
+        {"items": [_theirs_m1("france-1", mass=0.9)]},
+    )
+    assert mismatches == [] and texture["mass_cells_equal"] == 0
+    mismatches, _ = m4_strip.m3_crosscheck(
+        [_ours("france-1", "France", "Canada")], {"items": []}
+    )
+    assert mismatches == ["france-1: absent from the M3 recording"]
+
+
+def test_the_cross_checks_are_oracle_independent():
+    """They compare raw recorded strings, so D9 cannot soften them: two cells
+    that the oracle scores identically still mismatch if the strings differ."""
+    ours = _ours("france-1", "France", "Canada", span="France<|im_end|>")
+    theirs = _theirs_m1("france-1", span="France!")
+    assert oracle.says_concept_prefix("France<|im_end|>", "France")
+    assert oracle.says_concept_prefix("France!", "France")
+    mismatches, _ = m4_strip.m1_crosscheck([ours], {"items": [theirs]})
+    assert mismatches
+
+
+# --- the descriptive package --------------------------------------------------
+
+def test_the_row_and_column_profiles_split_the_wider_vocabulary():
+    categories = concept_categories(_items())
+    records = [
+        _record("lion-1", "lion", categories["lion"], misses=("silver",)),
+        _record("gold-1", "gold", categories["gold"], misses=("silver",)),
+        _record("france-1", "France", "countries"),
+    ]
+    package = _package(records)
+    rows = package["row_profiles"]
+    assert len(rows) == 12
+    assert rows["silver"]["collateral_non_subset"]["hits"] == 0
+    assert rows["silver"]["collateral_non_subset"]["n"] == 2
+    # gold is a precious metal, so silver's damage to it is within-category
+    assert rows["silver"]["collateral_non_subset_within_category"]["n"] == 1
+    assert rows["silver"]["collateral_non_subset_cross_category"]["n"] == 1
+    columns = package["column_profiles"]
+    assert columns["lion"]["fragility"]["n"] == 12 and columns["lion"]["in_subset"] is False
+    assert columns["France"]["fragility"]["n"] == 11 and columns["France"]["in_subset"]
+
+
+def test_the_pooled_view_is_texture_and_repeats_each_item_twelve_times():
+    """M3's F11 lesson applied in advance: the 852-cell pool would give the gate
+    an interval NARROWER than the clustering justifies, so the gate reads the
+    per-item conjunction and the pool is reported as texture."""
+    package = _package(_arm(30, 40))
+    assert package["new_pool_arms"]["off_target"]["n"] == 40 * 12
+    assert package["vocabulary_sparing"]["gate_arm"]["n"] == 40
+    assert "that pool is TEXTURE and the gate reads the per-item conjunction" in (
+        GATE_WORDING["honesty"]
+    )
+
+
+def test_the_cluster_mean_floor_is_reported_but_never_gating():
+    """M3's F15 readout carried for comparability only — D17 froze its binomial
+    approximation as 'acceptable only because the qualifier is never
+    dispositive', and M4 keeps that rationale intact by not promoting it."""
+    package = _package(_arm(30, 40))
+    floor = package["vocabulary_sparing"]["cluster_mean_floor"]
+    assert floor["reference_line"] == 0.5
+    assert "NEVER gating" in floor["readout"]
+    assert "below_reference_line" in floor and "verdict" not in floor
+
+
+def test_the_ordering_contrast_is_reported_as_rejected_option_b():
+    package = _package(
+        _arm(30, 40) + [_record("france-1", "France", "countries", misses=SUBSET)]
+    )
+    ordering = package["vocabulary_sparing"]["ordering_contrast"]
+    assert "rejected option (b)" in ordering["label"]
+    assert ordering["diagonal"]["hits"] == 0        # France muted on its own direction
+    assert ordering["excludes_zero"]
+
+
+def test_the_ceiling_readout_names_the_cells_fixed_before_the_run():
+    categories = concept_categories(_items())
+    records = [
+        _record("july-3", "July", categories["July"], control="October",
+                misses=("October",)),
+        _record("lion-1", "lion", categories["lion"], control="tiger"),
+    ]
+    ceiling = _package(records)["gate_arm_ceiling"]
+    assert ceiling["cells_recorded_in_m1"] == 1
+    assert ceiling["misses"] == ["july-3"]
+    assert ceiling["ceiling"] == 1 and ceiling["n"] == 2
+    assert "never evidence for the gate" in ceiling["note"]
+
+
+def test_zero_gated_concepts_are_recorded_as_the_competence_selection():
+    categories = concept_categories(_items())
+    records = [
+        _record("lion-1", "lion", categories["lion"]),
+        _record("moth-1", "moth", categories["moth"], gate=False),
+    ]
+    competence = _package(records)["competence"]
+    assert competence["zero_gated_non_subset_concepts"] == ["moth"]
+    assert "COMPETENCE SELECTION" in GATE_WORDING["competence"]
+    assert "MEASURABLE vocabulary" in GATE_WORDING["competence"]
+
+
+# --- the frozen wording -------------------------------------------------------
+
+def test_the_gate_wording_is_frozen_as_code_and_carries_both_amendments():
+    sparing = GATE_WORDING["sparing"]
+    # the gate itself
+    assert "at or above 0.5" in sparing and "SURVIVES ALL 12" in sparing
+    assert "NON-SUBSET" in sparing
+    # Amendment 1: the qualifier, with its own mechanism
+    assert "AS-SCORED ONLY" in sparing
+    assert "CAN NEVER CREATE OR RESCUE ONE" in sparing
+    # Amendment 2 (i) the null label, (ii) 0.5B scoped in, (iii) the attachment
+    # restriction, (iv) both templates stated explicitly
+    assert "'not shown'" in sparing and "never an assertive negative" in sparing
+    assert "never a 'not shown' gate claim" in sparing
+    assert "never to NOT A RESULT, DEGENERATE or UNDERPOWERED" in sparing
+    assert "<label> (k/n survive all 12 = <rate>; Wilson 95% lower <lo>)" in sparing
+    assert "AS-SCORED ONLY (<read> k/n = <rate>, lower <lo>[; <read> ...])" in sparing
+    assert "residual-conservative, concept-level" in sparing
+    # the constant is owned as new, with its per-cell equivalence frozen in
+    assert "0.5^(1/12) ~ 0.944" in sparing
+    assert "SINGLE DISPOSITIVE GATE" in sparing
+    # and the re-certification precondition is INSIDE the sentence
+    assert "read ONLY when the 468 M3-recorded and 255 M1-recorded cells" in sparing
+
+
+def test_the_residual_selector_is_stated_in_the_frozen_wording():
+    """The selector decides a mitigation's whole content, so the rule that
+    decides its set lives in the frozen wording, not only in the code."""
+    wording = GATE_WORDING["conservative_reads"]
+    assert "CASE-INSENSITIVELY" in wording
+    assert "case-EXACT comparison would select ZERO cells" in wording
+    assert "NOT 'the span fills the 3-token window'" in wording
+    assert "FAIL IN PLACE" in wording and "41 / 71 / 84" in wording
+
+
+def test_the_verdict_string_templates_in_the_wording_match_the_code():
+    """The one place prose and code can drift is a format string. This pins the
+    frozen example against what `verdict_string()` actually emits."""
+    worked = verdict_string(
+        PASS_LABEL, _gate(44, 71),
+        [_read("residual-conservative", 42, 71)],
+    )
+    assert worked in GATE_WORDING["sparing"].replace("'", "")
+
+
+@pytest.mark.parametrize("subject", SUBJECTS)
+def test_the_earlier_milestones_wordings_stay_byte_frozen_with_their_artifacts(subject):
+    """Each stage freezes its own wording; M4 imports none of them and edits
+    none of them."""
+    assert _m1(subject)["protocol"]["gate_wording"] == m1_battery.GATE_WORDING
+    assert _m3(subject)["protocol"]["gate_wording"] == m3_matrix.GATE_WORDING
+    assert GATE_WORDING != m3_matrix.GATE_WORDING
+    assert GATE_WORDING["oracle"] == oracle.ORACLE_WORDING  # the one shared rule
+
+
+def test_the_oracle_is_byte_shared_by_a_fourth_consumer():
+    """The deviations-table row, pinned: `m4_strip.py` imports the rule rather
+    than copying it, exactly as the first three consumers do."""
+    source = open("m4_strip.py").read()
+    assert "from oracle import" in source
+    assert "def says_concept_prefix" not in source
+
+
+# --- the cross-subject verdict ------------------------------------------------
+
+def _crosscheck(**overrides):
+    base = {"n_mismatches": 0, "items_checked": 180, "items_expected": 180,
+            "cells_checked": 255, "cells_expected": 255}
+    base.update(overrides)
+    return base
+
+
+def _run(verdict=None, k=44, n=71, **kw):
+    gate = _gate(k, n)
+    verdict = verdict if verdict is not None else strip_verdict(
+        True, [], gate, [_read("residual-conservative", k, n)]
+    )
+    run = {
+        "milestone": "M4", "smoke_limit": None,
+        "environment": {"certified": True, "uncertified_reasons": []},
+        "m1_crosscheck": _crosscheck(),
+        "m3_crosscheck": _crosscheck(items_checked=36, items_expected=36,
+                                     cells_checked=468, cells_expected=468),
+        "competence": {"items_run": 180, "gate_span": 105},
+        "vocabulary_sparing": {
+            "gate_arm": gate, "verdict": verdict,
+            "conservative_reads": [_read("residual-conservative", k, n)],
+            "cluster_mean_floor": {"k": 60, "n": n, "wilson_95": [0.7, 0.9],
+                                   "reference_line": 0.5},
+            "ordering_contrast": {
+                "newcombe_offtarget_minus_diagonal_naming": [0.9, 0.8, 0.95]},
+        },
+        "new_pool_arms": {
+            "within_category": {"hits": 100, "n": 110, "wilson_95": [0.8, 0.95]},
+            "cross_category": {"hits": 700, "n": 742, "wilson_95": [0.9, 0.97]},
+        },
+        "row_profiles": {p: {"collateral_non_subset": {"hits": 70, "n": 71,
+                                                       "rate": 70 / 71}}
+                         for p in SUBSET},
+        "column_profiles": {"silver": {"gated_items": 3, "in_subset": True,
+                                       "fragility": {"hits": 30, "n": 33, "rate": 0.9}}},
+    }
+    run.update(kw)
+    return run
+
+
+def _run_verdict(monkeypatch, tmp_path, runs):
+    for subject, run in runs.items():
+        (tmp_path / f"m4-strip-{subject}.json").write_text(json.dumps(run))
+    monkeypatch.setattr(sys, "argv", ["m4_verdict.py", "--results-dir", str(tmp_path)])
+    with pytest.raises(SystemExit) as exc:
+        m4_verdict.main()
+    return exc.value.code
+
+
+def _all(**per_subject):
+    runs = {s: _run() for s in SUBJECTS}
+    runs.update(per_subject)
+    return runs
+
+
+def test_the_m4_verdict_is_the_and_over_the_two_gate_bearing_subjects(
+    monkeypatch, tmp_path, capsys
+):
+    assert _run_verdict(monkeypatch, tmp_path, _all()) == 0
+    out = capsys.readouterr().out
+    assert f"M4 VERDICT: {PASS_LABEL} at 1.5B AND 3B" in out
+
+
+def test_a_single_gate_bearing_null_sinks_the_and(monkeypatch, tmp_path, capsys):
+    runs = _all(**{"qwen2.5-3b-instruct": _run(k=40)})
+    assert _run_verdict(monkeypatch, tmp_path, runs) == 0
+    out = capsys.readouterr().out.rsplit("M4 VERDICT:", 1)[-1]
+    assert NULL_LABEL.upper() in out
+
+
+def test_the_0_5b_subject_never_enters_the_and(monkeypatch, tmp_path, capsys):
+    """Amendment 2 (ii): 0.5B is reported in the same shape under its standing
+    any-direction-damage frame and is never a gate claim. M3's own 0.5B subset
+    already fails this bar in-statistic, so a low reading there is a finding."""
+    runs = _all(**{"qwen2.5-0.5b-instruct": _run(k=20)})
+    assert _run_verdict(monkeypatch, tmp_path, runs) == 0
+    out = capsys.readouterr().out
+    assert f"M4 VERDICT: {PASS_LABEL} at 1.5B AND 3B" in out
+    assert "never gate-bearing" in out
+    assert "19/28, lower 0.4934" in out
+
+
+def test_the_cross_subject_verdict_carries_a_gate_bearing_qualifier(
+    monkeypatch, tmp_path, capsys
+):
+    scoped = _run(verdict=strip_verdict(
+        True, [], _gate(44, 71),
+        [_read("residual-conservative", 42, 71)],
+    ))
+    runs = _all(**{"qwen2.5-1.5b-instruct": scoped})
+    assert _run_verdict(monkeypatch, tmp_path, runs) == 0
+    out = capsys.readouterr().out.rsplit("M4 VERDICT:", 1)[-1]
+    assert f"{QUALIFIER} (qwen2.5-1.5b-instruct)" in out
+
+
+@pytest.mark.parametrize(
+    "broken, expected",
+    [
+        ({"smoke_limit": 3}, "SMOKE run"),
+        ({"environment": {"certified": False, "uncertified_reasons": ["device 'cpu'"]}},
+         "NOT A RESULT"),
+        ({"milestone": "M3"}, "not an M4 strip run"),
+        ({"m1_crosscheck": _crosscheck(n_mismatches=4)}, "M1 cross-check mismatches"),
+        ({"m1_crosscheck": _crosscheck(items_checked=179)},
+         "M1 cross-check covered 179 of 180 items"),
+        ({"m1_crosscheck": _crosscheck(cells_checked=254)},
+         "M1 cross-check covered 254 of 255 cells"),
+        ({"m3_crosscheck": _crosscheck(items_checked=36, items_expected=36,
+                                       cells_checked=467, cells_expected=468)},
+         "M3 cross-check covered 467 of 468 cells"),
+    ],
+)
+def test_a_run_that_is_not_a_result_cannot_feed_the_verdict(
+    broken, expected, monkeypatch, tmp_path, capsys
+):
+    runs = _all(**{"qwen2.5-1.5b-instruct": _run(**broken)})
+    assert _run_verdict(monkeypatch, tmp_path, runs) == 2
+    assert expected in capsys.readouterr().out
+
+
+def test_the_verdict_is_invalid_when_a_subject_is_missing(monkeypatch, tmp_path, capsys):
+    runs = {s: _run() for s in m4_verdict.SUBJECTS if s != "qwen2.5-3b-instruct"}
+    assert _run_verdict(monkeypatch, tmp_path, runs) == 2
+    assert "missing" in capsys.readouterr().out

From 491fa7fa1a92c4f730caa43fdcbf15ce261af2f8 Mon Sep 17 00:00:00 2001
From: ksdisch <kstan.disch@gmail.com>
Date: Wed, 29 Jul 2026 04:36:02 -0500
Subject: [PATCH 2/7] =?UTF-8?q?docs(m4):=20append=20D19=E2=80=93D22=20to?=
 =?UTF-8?q?=20the=20decision=20log?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

The four decisions Kyle froze 2026-07-29 — (a) across the board — with
both post-freeze amendments to the D20 wording package recorded, the
second separately because Amendment 1's ratification quote covers only
Amendment 1. Lands with the code PR, per the M0/M1/M2/M3 pattern.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KkTj11WoNyTF9SGXvrxxVy
---
 docs/DECISIONS.md | 227 ++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 227 insertions(+)

diff --git a/docs/DECISIONS.md b/docs/DECISIONS.md
index b9dbc61..5a3f3e9 100644
--- a/docs/DECISIONS.md
+++ b/docs/DECISIONS.md
@@ -639,3 +639,230 @@ by a test that makes `AutoModelForCausalLM.from_pretrained` raise), re-asserts
 the loaded model's shape against that spec before any trial, and returns the
 parsed M1 artifact from `validate()` for `main()` to reuse. `m2_depth.py` itself
 stays untouched, per the certified-predecessor rule.
+
+## D19 — The strip frame: 12 primes × all 180 items (Kyle, 2026-07-29)
+
+Option (a): **the full 12 × 180 strip plus a full clean re-run — 2,340 cells per
+subject.** M3 measured collateral *among the 12* and said so in its own Honest
+limits: "the matrix measures collateral among 12 concepts, not across the
+vocabulary … Nothing here shows that deleting France spares the other 48 M1
+concepts." M4 runs exactly that experiment: keep the 12 characterized directions
+as the **primes** (the thing deleted), widen the **probes** (the thing asked
+about) to all 60 M1 concepts — the whole frozen 180-item battery. Every cell is
+the M3 recipe unchanged (late third, λ = 1, k = 1, D9(b) oracle), so cells differ
+only in which direction was removed and which item was asked.
+
+Per subject: `clean` (180) + 12 × 180 = **2,340 cells**. The genuinely new
+content is the **non-subset pool** — 492 / 852 / 1,008 cells at 0.5B / 1.5B / 3B,
+of which 486 / 844 / 993 have never been measured by any milestone.
+
+**The re-certification surface is maximal, and two generations deep.** The strip
+contains **255** cells per subject recorded in M1's artifacts (`clean` 180, the
+12 subset concepts' `primed_late` 36, and the 39 `control_late` cells whose
+control direction is a prime) **and 468** recorded in M3's (the 36 subset `clean`
+cells + all 432 matrix cells — everything M3 ran except its 18 out-of-subset
+control-extras, whose directions are not strip primes). The two surfaces overlap
+in 90 cells, so phase 1 of the run grades their union — **633 of the 2,340** —
+and both comparisons run on raw recorded strings (`greedy`, `greedy_3`;
+`concept_mass` as texture) **before any new cell is read**. Any mismatch on the
+certified stack is INVALID. This is D16's pattern applied against two artifact
+sets at once.
+
+Rejected: **(b) 12 primes × the 144 non-subset items only** — saves ~20% of the
+run and destroys the M3-overlap re-certification (no subset cells, no diagonal)
+plus the in-strip recorded proxies; the one check that has caught nothing yet
+*because it runs every time*, broken for one saved coffee break. **(c) the full
+60 × 60 matrix** — a different, bigger question ("is *every* direction safe to
+delete?") at ~4.7× the cost, with 48 primes no milestone has characterized; that
+is a future stage's question, not this close-out's.
+
+**Consequence worth stating.** Every `clean` cell is M1-recorded and gating is
+the deterministic clean arm under a frozen oracle, so the realized gate-arm n is
+**fixed before the run** at 41 / 71 / 84. A run that disagrees is an INVALID
+cross-check, not a power surprise.
+
+## D20 — The pre-committed wording package for M4 (Kyle, 2026-07-29)
+
+Option (a): **a survives-everything level gate on the new pool**, frozen as code
+in `m4_strip.GATE_WORDING` before any run and written verbatim into every results
+JSON. In brief:
+
+> **VOCAB-SPARING** iff, per subject: among the gated **non-subset** items, the
+> proportion that **survives all 12** subset-direction deletions has its Wilson
+> 95% lower bound at or above **0.5**. The bar is read **only when** the 468
+> M3-recorded and 255 M1-recorded cells reproduce their recorded outcomes
+> bit-for-bit. The M4 verdict is the AND over 1.5B and 3B; 0.5B runs under its
+> standing any-direction-damage frame and is never gate-bearing. Gate-arm
+> n < MIN_N = 20 ⇒ UNDERPOWERED.
+
+Rejected: **(b) an M3-clause-(1)-style ordering gate extended to the strip** —
+maximally comparable to M3, and it passes almost by inheritance (the diagonal is
+0-to-3 hits at every subject), so it gates nothing; reported beside as
+descriptive continuity instead. **(c) the conjunction of (a) AND (b)** — adds
+nothing (b) doesn't already concede and re-opens the conjunction-degeneracy
+obligation for no inferential gain.
+
+**Why a level gate at all.** The strip's question is a *level* question — "is the
+floor high?" — not an ordering question; M3 already settled the ordering. The
+per-item survives-all-12 outcome is a true binary, so the Wilson interval is
+exact for it. This deliberately does **not** promote M3's cluster-mean floor
+readout to gate-bearing: D17 froze that approximation as "acceptable only because
+the qualifier is never dispositive," and M4 keeps *that* rationale intact by
+reporting the cluster-mean floor beside, reference line 0.5, never dispositive.
+
+**The 0.5 constant is new, and owned as new.** M3's 0.5 was a floor on
+cluster-collapsed **per-cell** survival; M4's is a bar on a **12-fold
+conjunction**. The same digits mean opposite things across the two statistics:
+under independence a conjunction of 0.5 corresponds to a per-cell
+0.5^(1/12) ≈ **0.944**. Two consequences, stated rather than inherited. **(i)
+Status changed** — M3's constant was itself uncalibrated and D17 tolerated that
+only because the qualifier it scoped could never create or rescue a claim; M4
+makes a constant of the same value the *single dispositive gate*, so D17's
+tolerance does not transfer. **(ii) The deletion count is half the bar** — at a
+per-cell rate of 0.971 (M3's recorded 1.5B off-diagonal) the conjunction reads
+≈ 0.70 and clears; at 0.94 it reads ≈ 0.48 and fails. So M4's 0.5 is a new,
+deliberately lenient, uncalibrated constant, pre-registered before any new cell
+was run and fitted to none, with its per-cell equivalence written into
+`GATE_WORDING` itself so no write-up can quote it as M3's floor.
+
+**Why the re-certification clause lives inside the wording.** Every prior stage's
+gate compared an intervened arm against another *measured* arm, so a dead
+intervention could never pass one. M4's bar is single-clause and reads only the
+off-target survival rate — read in isolation, an ablation that did nothing at all
+would score ~100% survival and print VOCAB-SPARING. The strip's re-run of M3's
+432 matrix cells catches exactly that, but that guarantee lived in D19's design
+and an exit code, not in the sentence a write-up quotes. Now it cannot be quoted
+out of its own precondition.
+
+**Why the realized proportion rides inside the verdict string.** `VOCAB-SPARING`
+is the strongest possible phrasing of exactly the over-reading M4 exists to
+correct, and the bar it names permits real damage: at the 1.5B pass point (44/71)
+**27 of 71** gated non-subset items — 38% — are damaged by at least one of the 12
+deletions. Prose owns that, but prose is not what gets quoted; the label is. So
+M4 carries the number **inside** the verdict string — M3's `ON A DAMAGED FLOOR`
+move, applied to a level bar.
+
+**Amendment 1 (post-freeze, pre-run, ratified by Kyle 2026-07-29).** The verdict
+string as first frozen carried only the **as-scored** proportion, so the two
+pre-registered reads that can flip which number is honest stayed in prose —
+reproducing the exact failure the realized-proportion resolution was meant to
+prevent. The wording now carries a pre-declared **AS-SCORED ONLY** qualifier,
+attached *conditionally by the runner* whenever a conservative read's Wilson lower
+bound falls below 0.5 while the as-scored read's does not, and names a failing
+label the single pass-label template had left unstated.
+
+**Amendment 2 (post-freeze, pre-run, ratified by Kyle 2026-07-29),** recorded
+separately because Amendment 1's ratification quote covers only Amendment 1.
+Four changes: **(i)** the failing label is the lineage's pre-committed null
+`not shown`, not the assertive `NOT VOCAB-SPARING` Amendment 1 introduced —
+failing a Wilson *lower* bound cannot establish the contrary (at 1.5B, k = 40 has
+a point estimate of 0.563 *above* the bar with a straddling interval), and all
+three predecessor runners emit `not shown`; **(ii)** 0.5B is scoped inside the
+wording — the gate verdict is the AND over the two gate-bearing subjects and
+0.5B's readout is never a gate claim; **(iii)** the qualifier attaches to a
+**claim-level verdict only**, never to `NOT A RESULT` / `DEGENERATE` /
+`UNDERPOWERED` — Amendment 1 had attached it to all of them, contradicting the
+D17 rule it cites; **(iv)** both string templates are stated explicitly with a
+fixed read order. The gate, its 0.5 bar, its arm and its re-certification
+precondition are unchanged by both amendments.
+
+**The two pre-registered conservative reads, never dispositive.**
+
+1. **The residual-conservative read.** D9(b)'s owned span-truncation residual
+   re-enters a gate-bearing arm for the first time since M1: `oracle.py`'s frozen
+   wording closes with "None of the three concepts is in M2's subset," and M4's
+   wider probe side retires exactly that scope sentence. The gate statistic is
+   recomputed with every **residual cell** re-scored as a **miss**. A residual
+   cell is one whose recorded span, after stripping leading whitespace, **equals
+   the scored concept's spelling with nothing following it, compared
+   case-insensitively** exactly as `oracle.says_concept_prefix` compares. The
+   case rule *decides the set*: the recorded spans are `'Beetle'`, `'Butterfly'`,
+   `'Trumpet'` while the roster spellings are lowercase, so a case-**exact**
+   comparison would select **zero** cells and silently turn the mitigation into a
+   no-op; and the rule is *not* "the span fills the 3-token window", which every
+   recorded cell does by construction. On that reading the gate-arm residual cells
+   are **0 / 2 / 2** (1.5B `beetle-1`, `butterfly-1`; 3B `trumpet-3`,
+   `butterfly-1`). **Denominator: fail in place** — the arm stays at 41 / 71 / 84
+   and a residual-affected item scores as a *failure*. The alternative (re-score
+   the clean cell too, so the item un-gates and the arm shrinks) is rejected: it
+   is the *less* conservative reading at the bar — same numerator,
+   `wilson(43, 71)` = 0.489 fails while `wilson(43, 69)` = 0.505 passes — and it
+   would break the power table's pre-registered n. `oracle.py` is not touched;
+   editing it would force re-runs of three milestones.
+2. **The concept-level collapse.** Items cluster three-per-concept on the probe
+   side, so the same statistic is recomputed collapsed to one binary per
+   **concept** over the non-subset concepts with ≥ 1 gated item (n = 23 / 41 / 43).
+
+If the gate passes and either read does not, **that read's numbers are the honest
+ones to quote** — and the AS-SCORED ONLY qualifier puts them in the verdict
+string rather than leaving them in prose.
+
+**Degeneracy disposition.** D14/D17's wide-oracle guard, unchanged in mechanism
+(pool the first tokens of an arm's non-produced cells only, share against the
+arm's full cell count, threshold 0.5). Scope, enumerated — and this enumeration
+**discharges PR #9 F1's conjunction-degeneracy obligation**, since M4's gate is
+deliberately single-clause and the dispositive list therefore has exactly one
+surviving arm: collapse in the pooled **non-subset off-target** arm ⇒
+**DEGENERATE**; collapse in the subset **diagonal** ⇒ **TAG only**; `clean` stays
+off the dispositive list (the D14 F3 correction, carried); rows, columns and
+per-pair cells are **texture**.
+
+**Verdict precedence, frozen** in `m4_verdict.strip_verdict()`: NOT A RESULT >
+DEGENERATE > UNDERPOWERED > the level bar. Wrong-arm inputs exit INVALID before
+the checkpoint loads; `--dry-run` validates and stops; `--limit` is smoke, never a
+result; M4 refuses M1 **or** M3 artifacts that were themselves not results.
+
+## D21 — The five cross-mention cells (Kyle, 2026-07-29)
+
+Option (a): **keep them in the gate-bearing pool and report them as a named
+confound row.** Widening the probe side to all 180 items surfaces a confound M3's
+12-concept design never had: five (prime, item) pairs whose clue mentions a
+prime's spelling. The list is frozen — **October→september-2, silver→flute-1,
+China→jade-1, October→opal-2, Egypt→beetle-2** — and scanned with **D5's own
+rule**: no word of the clue may *start with* the string, case-insensitive, plus
+that string's `forbidden_forms` entries. The prefix rule is why the list is five
+and not four: a whole-word scan misses `Egypt→beetle-2`, whose clue inflects the
+prime ("Ancient **Egyptians** carved amulets of the scarab"). In those cells a
+miss cannot distinguish collateral damage from "the clue's own text lost a word
+it references."
+
+*Why keep them:* a confounded miss can only **lower** the floor, so the bias runs
+**against** the gate — the one direction this project ships owned. Excluding them
+would delete only cells that could hurt the claim, the anti-conservative move the
+lineage never makes. Four cells of 852 cannot carry a verdict either way; what
+they can do is mislead a *reader* of the column profiles, and the named row
+prevents that. Four gate at both gate-bearing subjects (only `jade-1` at 0.5B);
+`beetle-2` is ungated on all three and carries no gate-bearing cell today — it is
+listed so a future re-gate cannot silently acquire one.
+
+Rejected: **(b) pre-registered exclusion from gate-bearing pools** — evidence
+removal in the gate's favour. **(c) drop the five items entirely** — loses their
+clean cells and their unconfounded prime cells for no reason.
+
+## D22 — Run-time instrument bars, widened to the full roster (Kyle, 2026-07-29)
+
+Option (a): **both D18 bars in `m4_strip.py`'s pre-trial validation, now over
+every scored word — all 60 — plus the 12 direction words, with unit tests.** Span
+bar: `max(len(tok(w)), len(tok(" " + w))) ≤ SPAN_TOKENS` on the subject's own
+tokenizer, else INVALID. ASCII bar: every spelling pure ASCII, else INVALID.
+Verified in advance for all 60 words on all three tokenizers (2026-07-28); the
+run-time bar still runs, because D18's point was that the premise must hold *at
+the moment of measurement*.
+
+Rejected: **(b) bars over the 12 primes only** (M3's literal scope) — the
+soundness premise attaches to every **scored** word, and M4 scores 60, so a bar
+checking 12 pins a fifth of the premise. **(c) widen `_BOUNDARY` now** — still
+zero live cases, still the unforced version of the mistake D9 exists to prevent
+(carried rejection).
+
+**What the span bar cannot catch, stated so it stays owned:** the D9(b) residual
+passes the bar at exactly ≤ 3 tokens, which *is* the residual condition. The
+residual is carried by disclosure plus D20's residual-conservative read, never by
+a bar.
+
+**The `oracle._BOUNDARY` boundary-class decision is not owed here.** D18's named
+trigger is a stage freezing a **non-ASCII** list; M4 adds no vocabulary — every
+probe and every prime comes from M1's frozen 60, all pure-ASCII spellings. The
+premise stays *pinned, not assumed*: the ASCII bar runs at run time, unchanged.
+`oracle.py` is untouched, and becomes byte-shared by a fourth consumer (a
+deviations-table row, on the same D9 rationale as the first three).

From dfa6a05fb08e0b358b5281fba0b00abf369e7fac Mon Sep 17 00:00:00 2001
From: ksdisch <kstan.disch@gmail.com>
Date: Wed, 29 Jul 2026 04:36:11 -0500
Subject: [PATCH 3/7] test(m4): pin that the qualifier reads the lower bound,
 not the point estimate
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

A self-review pass on the analysis package's edge cases found that a
conservative read which AGREES perfectly on the point estimate but has a
wide interval still fires AS-SCORED ONLY. That is the frozen rule read
literally — D20 states the trigger as 'a conservative read's Wilson 95%
lower bound is below 0.5', not 'a conservative read disagrees' — and it
errs conservative, so it stands unchanged. Pinned so a later reader does
not 'fix' a frozen gate. Unreachable in M4's own runs, where the
concept-level n is 23 / 41 / 43, all >= MIN_N.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KkTj11WoNyTF9SGXvrxxVy
---
 test_m4.py | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/test_m4.py b/test_m4.py
index e051b7d..d8b0aca 100644
--- a/test_m4.py
+++ b/test_m4.py
@@ -536,6 +536,19 @@ def test_the_qualifier_can_never_create_or_rescue_a_claim():
     assert QUALIFIER not in verdict
 
 
+def test_the_qualifier_reads_the_lower_bound_not_the_point_estimate():
+    """Read literally — and the frozen wording IS literal — the trigger is 'a
+    conservative read's Wilson 95% lower bound is below 0.5', not 'a conservative
+    read disagrees'. So a read that agrees perfectly on the point estimate but
+    has a wide interval still fires the qualifier. That is the rule as ratified,
+    and it is conservative in the right direction; it is pinned here so nobody
+    'fixes' a frozen gate later. It cannot arise in M4's own runs, where the
+    concept-level n is 23 / 41 / 43 — all >= MIN_N."""
+    agreeing_but_wide = _read("concept-level", 2, 2)   # 1.000, lower 0.342
+    assert agreeing_but_wide["rate"] == 1.0
+    assert QUALIFIER in strip_verdict(True, [], _gate(30, 30), [agreeing_but_wide])
+
+
 def test_both_reads_appear_in_the_frozen_order_when_both_fire():
     verdict = strip_verdict(
         True, [], _gate(45, 71),

From 472c1343c285ff35a37f44200308236d25ea4d30 Mon Sep 17 00:00:00 2001
From: ksdisch <kstan.disch@gmail.com>
Date: Wed, 29 Jul 2026 05:15:31 -0500
Subject: [PATCH 4/7] =?UTF-8?q?docs(m4):=20results=20+=20stage=20close-out?=
 =?UTF-8?q?=20=E2=80=94=20VOCAB-SPARING=20at=201.5B=20and=203B,=20AS-SCORE?=
 =?UTF-8?q?D=20ONLY?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Three subjects, 2,340 cells each, ~50 minutes on MPS, $0.

Gate arm (gated non-subset items surviving all 12 deletions):
  0.5B  11/41 = 0.268 [0.157, 0.419]  -> not shown (off-gate)
  1.5B  51/71 = 0.718 [0.605, 0.810]  -> VOCAB-SPARING - AS-SCORED ONLY
  3B    63/84 = 0.750 [0.648, 0.830]  -> VOCAB-SPARING - AS-SCORED ONLY

The qualifier fired at both gate-bearing subjects on a real divergence: the
pre-registered concept-level collapse reads 0.585 (lower 0.434) and 0.605
(lower 0.456), below the bar while the item-level gate clears it, so per D20
those are the honest numbers to quote. Round 4's F20 amendment is why they
ride inside the verdict string instead of sitting in prose.

Re-certification, two generations deep: M1 255/255 and M3 468/468 cells
reproduced bit-for-bit with concept_mass exact, on every subject. Because
that surface includes all 180 clean cells, every realized n was knowable
before the run — arms 41/71/84, concepts 23/41/43, ceilings 35/41, 69/71,
82/84 with exactly the named misses. All landed.

Descriptive findings the gate never asked for: finding 1 generalizes out of
sample (no prime is a wrecking ball; specific probe columns collapse —
copper 6/12, mosquito 8/12 at 1.5B), category-block collateral is real in
the wider vocabulary and does NOT dissolve with scale (re-scoping M3, whose
within arm was 30/34 countries), and 0.5B is the first measured divergence
between the subset-12's robustness and the wider roster's (73% of gate-arm
items damaged, vs 28% and 25%).

Spine per the per-stage rhythm: M4-BRIEF results + honest limits, ROADMAP
row, LEARNING M4 section + 3 recall questions, PROJECT status and facts,
HANDOFF rewritten, README status.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KkTj11WoNyTF9SGXvrxxVy
---
 HANDOFF.md                                  |   229 +-
 PROJECT.md                                  |    68 +-
 README.md                                   |    43 +-
 docs/LEARNING.md                            |   104 +
 docs/M4-BRIEF.md                            |   110 +
 docs/ROADMAP.md                             |     1 +
 results/m4-strip-qwen2.5-0.5b-instruct.json | 39486 +++++++++++++++++
 results/m4-strip-qwen2.5-1.5b-instruct.json | 39884 +++++++++++++++++
 results/m4-strip-qwen2.5-3b-instruct.json   | 39885 ++++++++++++++++++
 9 files changed, 119655 insertions(+), 155 deletions(-)
 create mode 100644 results/m4-strip-qwen2.5-0.5b-instruct.json
 create mode 100644 results/m4-strip-qwen2.5-1.5b-instruct.json
 create mode 100644 results/m4-strip-qwen2.5-3b-instruct.json

diff --git a/HANDOFF.md b/HANDOFF.md
index 45bc701..8387328 100644
--- a/HANDOFF.md
+++ b/HANDOFF.md
@@ -1,142 +1,123 @@
 # HANDOFF.md — mute-map
 
-_Last updated: 2026-07-29 (M4 brief reviewed; D19–D22 frozen)_
+_Last updated: 2026-07-29 (M4 built, run, and PASSED — every measurement stage closed)_
 
 ## What was just done
 
-**M3 built, run, and PASSED** (2026-07-28) — the specificity matrix, per the
-frozen `docs/M3-BRIEF.md` (D15–D18). Landed in one PR with its docs spine:
-
-- **`m3_matrix.py`** — the M3 runner, cut from `m2_depth.py` (never from the
-  certified `m0_anchor.py`), with its own byte-frozen `GATE_WORDING`. Holds depth
-  and dose fixed at the switch's home (late third, λ = 1, k = 1) so every cell
-  differs from every other in exactly one thing: *which* direction was removed.
-  486 cells per subject — 36 `clean` + 432 matrix + 18 out-of-subset
-  control-extras — with the 108-cell M1 re-certification graded first.
-- **`m3_verdict.py`** — the cross-subject AND over 1.5B and 3B, plus the
-  descriptive package (within- vs cross-category split, row/column profiles,
-  asymmetry, the printed grid). Refuses any run that is not a result.
-- **`test_m3.py`** — 83 cases; the full suite is 272 and green.
-
-**Results: MATRIX-SPECIFIC at 1.5B AND 3B.** Clause (1) pooled off-diagonal −
-diagonal: +0.971 [+0.867, +0.983] at 1.5B (diagonal 0/34 vs off-diagonal
-363/374) and +0.881 [+0.731, +0.943] at 3B (3/32 vs 343/352). Clause (2)
-within-category: +0.950 [+0.814, +0.978] and +0.891 [+0.730, +0.947]. 0.5B also
-MATRIX-SPECIFIC, off-gate. **No subject carries the ON A DAMAGED FLOOR
-qualifier** — the collateral floor reads [0.728, 0.963] / [0.851, 0.995] /
-[0.843, 0.994] against the pre-registered 0.5, which settles the one question
-the brief left genuinely open. Every pre-registered n landed exactly (28/34/32
-gated, 308/374/352 off-diagonal, 96/100/101 within-category, 24/28/29
-restricted). The M1 cross-check re-certified the instrument bit-for-bit on every
-run (108/108 cells, `concept_mass` exact, ×3 subjects). No degeneracy fired
-anywhere, and the effective-n per-item collapse agrees with the pooled gate on
-every subject and both clauses.
-
-**The three descriptive findings the gate did not ask for:** collateral
-concentrates on a few fragile **probes** rather than being caused by damaging
-**primes** (at 1.5B all 11 off-diagonal misses land on 4 probes; `silver`,
-`Canada`, `China`, `Jupiter` and `Mars` cause zero collateral as primes);
-category-block collateral is CI-clean at 0.5B (cross − within +0.105 [+0.032,
-+0.196]) and dissolves into noise by 1.5B; and the only non-zero diagonal cells
-anywhere are `Egypt` 2/3 and `October` 1/2 at 3B — exactly the S3 leaky-switch
-stratum D11 pre-registered.
-
-**The one pre-registration that inverted.** `silver` entered the subset as the
-*non-specific anti-example*, expected to damage everything. Its row damages
-nothing at any scale (27/27, 31/31, 31/31); its **column** is the most fragile in
-the grid (7/11, 27/33, 6/11). M1's and M2's single control cell had sampled
-silver's column and been read as a fact about silver's row. This is a
-re-attribution, not a retraction — M1's and M2's numbers stand as published.
-
-**One carry-forward M3 creates, found at its own adversarial review (PR #9 F1).**
-M3's gate is a conjunction, but D17's frozen degeneracy scope names only clause
-(1)'s surviving arm (`off_diagonal`) as dispositive — clause (2)'s
-(`within_category_off_diagonal`) is guarded nowhere, and at the two smaller
-subjects it runs 3–4× the guarded arm's wrong-opening share (0.052 vs 0.016 at
-0.5B, 0.030 vs 0.008 at 1.5B; at 3B the ordering inverts, 0.010 vs 0.014).
-Nothing here is affected — neither gate-reading arm came within an order of
-magnitude of COLLAPSE_SHARE = 0.5, and the one arm that does run close is the
-pooled **diagonal** (0.464 at 0.5B), which D17 pre-registers as TAG-only because
-it *is* the expected mute signature — and `m3_matrix.GATE_WORDING` was **not**
-amended, because it is byte-frozen with three subjects' artifacts and editing a
-pre-registration after seeing results is what D9/D10 exist to prevent. Owned in
-M3-BRIEF's Honest limits, and carried here: **any later stage whose gate is a
-conjunction must put every surviving-side comparison arm on the dispositive
-degeneracy list, and its frozen wording must enumerate them explicitly.**
-
-All four of M2's carry-forwards landed as the brief dispositioned them: PR #7 F2
-(the tier-width caveat, retired structurally and stated affirmatively in D17's
-frozen wording), F5 + F4 (D18's two run-time bars, span and ASCII, on the
-subject's own tokenizer), and the non-blocking F6 (`m3_matrix.py` validates
-before the checkpoint loads and `validate()` returns the parsed M1 artifact).
+**M4 built, run, and PASSED** (2026-07-29) — the vocabulary collateral strip, per
+the frozen `docs/M4-BRIEF.md` (D19–D22). Landed in one PR with its docs spine:
+
+- **`m4_strip.py`** — the M4 runner, cut from `m3_matrix.py` (never from the
+  certified `m0_anchor.py`), with its own byte-frozen `GATE_WORDING` taken
+  verbatim from D20 including the AS-SCORED ONLY qualifier and both string
+  templates. Keeps M3's 12 characterized directions as the **primes** and widens
+  the **probes** to all 60 M1 concepts: 180 `clean` + 12 × 180 = **2,340 cells
+  per subject**, every one at the identical late third, λ = 1, k = 1. The 255
+  M1-recorded and 468 M3-recorded cells — 633 of the 2,340 once the 90-cell
+  overlap is counted once — are graded FIRST, and any mismatch exits INVALID
+  before a new cell is read. D22's span and ASCII bars now run over all 60 scored
+  words plus the 12 direction words.
+- **`m4_verdict.py`** — owns `strip_verdict()` (precedence NOT A RESULT >
+  DEGENERATE > UNDERPOWERED > the level bar, failing label the lineage null
+  `not shown`) and the cross-subject AND over 1.5B and 3B. The runner imports it,
+  so exactly one implementation of the pre-committed verdict string exists.
+- **`test_m4.py`** — 112 cases; the full suite is 384 and green.
+
+**Results: VOCAB-SPARING at 1.5B AND 3B — AS-SCORED ONLY.** Of the gated items
+whose concept is outside M3's twelve, those surviving **all 12** deletions:
+**51/71 = 0.718 [0.605, 0.810]** at 1.5B and **63/84 = 0.750 [0.648, 0.830]** at
+3B, both clearing the pre-registered 0.5 bar; 0.5B `not shown` off-gate at
+**11/41 = 0.268 [0.157, 0.419]**. Every pre-registered n landed exactly (arms
+41/71/84, concepts 23/41/43, ceilings 35/41, 69/71, 82/84 with precisely the
+named misses). Both cross-checks re-certified the instrument bit-for-bit on every
+run — M1 255/255 and M3 468/468 cells, `concept_mass` exact, ×3 subjects. No
+degeneracy fired on the dispositive arm (shares 0.022 / 0.011 / 0.011 against a
+0.5 threshold).
+
+**The qualifier fired at both gate-bearing subjects, and it earned its
+existence.** The pre-registered **concept-level collapse** — one binary per
+concept instead of per item — reads 0.585 (lower **0.434**) at 1.5B and 0.605
+(lower **0.456**) at 3B: below the bar while the item-level gate clears it. Per
+D20's pre-commitment those are **the honest numbers to quote**, and Amendment 1
+(round 4, F20) is exactly why they now ride inside the verdict string instead of
+sitting in prose. The residual-conservative read clears at both (49/71 lower
+0.575; 62/84 lower 0.635), so only one of the two reads fired.
+
+**Three descriptive findings the gate did not ask for.** (1) M3's finding 1
+**generalizes out of sample**: collateral concentrates on fragile **probes**, not
+damaging **primes** — no prime's row falls below 63/71 at 1.5B or 77/84 at 3B,
+while individual columns collapse (`copper` 6/12, `mosquito` 8/12 at 1.5B;
+`eagle` 8/12, `platinum` 9/12 at 3B) and 32/53 and 33/55 gated columns take
+**zero** collateral. The distribution is bimodal, which is why the item-level and
+concept-level statistics diverge. (2) **Category-block collateral is real in the
+wider vocabulary and does NOT dissolve with scale** — within 22/29 vs cross
+769/823 at 1.5B, 35/53 vs 913/955 at 3B — reversing M3's read, whose
+within-category arm was 30 of 34 pairs *countries*. A re-scoping of M3's finding,
+not a retraction. (3) **0.5B is the first measured divergence** between the
+subset-12's robustness and the wider roster's: 30 of 41 gate-arm items (73%) are
+damaged by at least one deletion, against 28% at 1.5B and 25% at 3B.
+
+**The residual set was bigger in the ablated arm than the clean arm.** The
+clean-arm gate-arm residuals were the pre-computed 0 / 2 / 2, but the run
+recorded 0 / 27 / 21 residual cells overall (26 / 21 in the gate arm), all on
+`beetle`, `butterfly`, `trumpet`. That is exactly what D20's selector was written
+for ("in the ablated cells the set is whatever the run records"), and it is why
+the conservative read moves the number at all (51 → 49, 63 → 62). A case-exact
+selector — the F16 defect — would have found zero of them.
+
+**Both inherited obligations discharged.** The **conjunction-degeneracy** rule
+(PR #9 F1) is satisfied by design: M4's gate is single-clause, so the dispositive
+list has exactly one surviving arm, and `m4_strip.GATE_WORDING` enumerates it and
+restates the rule for any future conjunction. The **`oracle._BOUNDARY`
+boundary-class decision** was not owed: D18's trigger is a stage freezing a
+non-ASCII list, and M4 adds no vocabulary — the ASCII bar pins the premise at run
+time instead. That trigger still names the banked scope stretch.
 
 ## Where things stand
 
-Chain: ~~M0~~ → ~~M1~~ → ~~M2~~ → ~~M3~~ — **the v1 chain per `docs/KICKOFF.md`
-is complete.** `docs/DECISIONS.md` now runs D1–D18. S1/S2 stretches are optional
-and each needs its own brief.
+Chain: ~~M0~~ → ~~M1~~ → ~~M2~~ → ~~M3~~ → ~~M4~~ — **the v1 chain per
+`docs/KICKOFF.md` is complete and the Kyle-picked close-out stage has landed.**
+`docs/DECISIONS.md` now runs D1–D22. Nothing is pre-committed next. S1/S2 remain
+optional stretches, each needing its own brief.
 
 ## Immediate next move
 
-**Decided (Kyle, 2026-07-28, session "mute-map post M3 decisions"): run the
-vocabulary collateral strip as close-out stage M4, then write-up +
-`/seed-hunt`.** The S1/S2 stretches were declined for this repo and banked as
-idea #13 in `~/Projects/j-lens-proj-ideas/jlens-followon-backlog.md` — they
-compete in the seed-hunt on equal terms, no incumbent's privilege.
-
-**Where M4 stands: `docs/M4-BRIEF.md` is written, adversarially reviewed (see
-the mailbox under `~/.claude/reviews/mute-map/` for the round-by-round
-record), and D19–D22 are FROZEN (Kyle, 2026-07-29) — (a) across the board.**
-The verdict label was resolved per review F8: the label stays `VOCAB-SPARING`
-and the realized survival proportion rides inside the verdict string, the M3
-`ON A DAMAGED FLOOR` pattern applied to a level bar. **Amended post-freeze,
-pre-run and ratified by Kyle (round 4, F20):** that string as first frozen
-carried only the as-scored proportion, so the two pre-registered reads that
-can flip which number is honest (residual-conservative fail-in-place;
-concept-level collapse) stayed in prose — the exact failure F8 was adopted to
-prevent. D20 now carries a pre-declared **AS-SCORED ONLY** qualifier, attached
-by the runner whenever a conservative read's Wilson lower bound falls below
-0.5 while the as-scored read's does not. **Amendment 2 (rounds 5–6,
-F22/F24–F27), also ratified by Kyle 2026-07-29:** the failing label became the
-lineage's null `not shown` rather than an assertive negative, 0.5B was scoped
-inside the wording, the qualifier's attachment was restricted to claim-level
-verdicts, and both string templates were stated explicitly. The gate, its 0.5
-bar, its arm and its re-certification precondition are unchanged under both
-amendments. Full `DECISIONS.md` entries D19–D22 land with the M4 code PR, per
-the M0–M3 pattern.
-
-The stage: 12 subset primes × all 180 M1 items (2,340 cells/subject), gate = a
-single-clause VOCAB-SPARING level bar on the non-subset pool (per-item
-survives-all-12, Wilson lower bound ≥ 0.5 at 1.5B AND 3B — a *new*,
-deliberately lenient, uncalibrated constant on the 12-fold conjunction, ≈
-0.944 per-cell under independence, explicitly not carried from M3's per-cell
-floor). Realized ns are known from the recorded gated sets (gate arm 41 / 71 /
-84); 486 / 844 / 993 of the pool's 492 / 852 / 1,008 cells are genuinely new,
-the rest are M1-recorded and cap the gate arm at 35/41, 69/71, 82/84 before
-any forward pass. Design facts found while drafting: five probe clues mention
-a prime's spelling under D5's own prefix rule (October→september-2,
-silver→flute-1, China→jade-1, October→opal-2, Egypt→beetle-2 — the last
-ungated on all three subjects; D21(a) keeps all five in the pool); D9(b)'s owned
-span-truncation residual re-enters a gate-bearing arm for the first time since
-M1 (0 / 2 / 2 cells, carried by a pre-registered fail-in-place conservative
-read); all 60 roster words pass the D18 span bar on all three tokenizers
-(checked in advance); and M3's own 0.5B subset already fails M4's bar
-in-statistic (19/28, Wilson lower 0.4934), so the off-gate 0.5B floor may
-genuinely fail — reportable under the standing frame. No runner code exists
-yet; with D19–D22 now frozen, code is the next step, cut from `m3_matrix.py`.
+**Write-up, then `/seed-hunt`** — the plan of record since 2026-07-28, unchanged.
+Every measurement stage is closed and M3's stated bound ("nothing here shows that
+deleting France spares the other 48 M1 concepts") is now measured rather than
+assumed. The S1 (7B) and S2 (lexical vs semantic scope) stretches were declined
+for this repo and banked as idea #13 in
+`~/Projects/j-lens-proj-ideas/jlens-followon-backlog.md`; they compete in the
+seed-hunt on equal terms, no incumbent's privilege.
+
+Two things a write-up must not get wrong, both pre-committed rather than
+discovered after the fact:
+
+- **The headline is scoped.** `VOCAB-SPARING` carries `AS-SCORED ONLY` at both
+  gate-bearing subjects. The honest one-line summary is "the item-level floor
+  clears 0.5; the concept-level floor's lower bound does not (0.434 / 0.456)."
+- **The claim is about the *measurable* vocabulary.** 25 / 7 / 5 of the 48
+  non-subset concepts gate zero items — a competence selection that plausibly
+  enriches for robust concepts and biases the floor **upward**.
 
 Standing constraints unchanged: certified environment = `mps` + torch 2.13.0 +
 transformers 5.13.1 (off it: NOT A RESULT); `m0_anchor.py` stays certified and
 un-editable, and `m1_battery.GATE_WORDING` / `m2_depth.GATE_WORDING` /
-`m3_matrix.GATE_WORDING` are byte-frozen with their artifacts (editing any forces
-a full re-run of that milestone); `oracle.py` is byte-shared by three consumers
-and must stay identical in all of them; adversarial review before any merge.
+`m3_matrix.GATE_WORDING` / `m4_strip.GATE_WORDING` are byte-frozen with their
+artifacts (editing any forces a full re-run of that milestone); `oracle.py` is
+byte-shared by **four** consumers now and must stay identical in all of them;
+adversarial review before any merge.
 
 ## Open questions / blockers
 
-- None blocking. M3 is closed and the v1 chain with it. Two inherited
-  obligations, both conditional on a later stage existing: **(1)** S2's brief
-  owes the `oracle._BOUNDARY` boundary-class decision before it freezes any
-  non-ASCII list; **(2)** any stage whose gate is a **conjunction** must put
-  every surviving-side comparison arm on the dispositive degeneracy list and
-  enumerate them in its frozen wording (PR #9 F1, above).
+- **None blocking.** Every stage is closed.
+- **One known repo defect, out of M4's scope and deliberately not fixed here:**
+  `.github/workflows/ci.yml` runs `uv run test_<name>.py`, which executes each
+  test file as a plain script. No test file has a `__main__` guard, so the files
+  import, define their functions, and exit 0 — **CI passes vacuously and has
+  never actually run a test.** The suites do run under `uv run pytest` locally
+  (384 green). Fixing it is a one-line CI change (`uv run pytest`) and belongs in
+  its own PR; flagged to Kyle 2026-07-29.
+- **One conditional obligation survives:** S2's brief owes the
+  `oracle._BOUNDARY` boundary-class decision before it freezes any non-ASCII
+  list. M4 did not fire that trigger.
diff --git a/PROJECT.md b/PROJECT.md
index 9137215..8f9081f 100644
--- a/PROJECT.md
+++ b/PROJECT.md
@@ -3,26 +3,26 @@
 **One-liner:** Map the late-band J-lens output off-switch found in dim-stage S4b —
 breadth, localization, dose, specificity — on small local Qwen models.
 
-**Status:** **v1 chain complete — M3 PASSED (2026-07-28)**, the off-switch is
-**MATRIX-SPECIFIC at 1.5B and 3B**: over the full 12 × 12 prime × probe grid,
-deleting one concept's direction at the late third silences that concept and
-leaves the other eleven almost untouched (1.5B: diagonal 0/34 vs off-diagonal
-363/374). M2 PASSED (LATE-LOCALIZED at 1.5B and 3B), M1 PASSED
-(BREADTH-SPECIFIC at 1.5B and 3B), M0 PASSED (2026-07-27); all re-certified
-bit-for-bit on every later run. v1 = M0–M3 per `docs/KICKOFF.md`. **Close-out
-stage M4 (the vocabulary collateral strip) is now in flight** — brief written
-and reviewed, **decisions D19–D22 frozen 2026-07-29**, no runner code yet. The
-S1/S2 stretches were declined for this repo and banked (idea #13).
+**Status:** **v1 chain complete and the close-out stage landed — M4 PASSED
+(2026-07-29)**, the off-switch is **VOCAB-SPARING at 1.5B and 3B, AS-SCORED
+ONLY**: over a 12-prime × 180-item strip, deleting any one of the 12
+characterized directions at the late third spares most of the *measurable wider
+vocabulary* — 51/71 = 0.718 [0.605, 0.810] of gated non-subset items survive all
+12 deletions at 1.5B and 63/84 = 0.750 [0.648, 0.830] at 3B. Both verdicts carry
+the pre-declared **AS-SCORED ONLY** qualifier, because the concept-level collapse
+sits below the bar (0.585, lower 0.434; 0.605, lower 0.456). M3 PASSED
+(MATRIX-SPECIFIC at 1.5B and 3B), M2 PASSED (LATE-LOCALIZED), M1 PASSED
+(BREADTH-SPECIFIC), M0 PASSED (2026-07-27); all re-certified bit-for-bit on every
+later run — M4 re-certifies **two** artifact sets at once (M1 255/255 and M3
+468/468 cells, ×3 subjects). v1 = M0–M3 per `docs/KICKOFF.md`; M4 is the
+Kyle-picked post-KICKOFF close-out.
 
-**Next action:** build the M4 runner. `docs/M4-BRIEF.md` is written and
-adversarially reviewed (PR #10); **D19–D22 were frozen 2026-07-29 — (a) across
-the board** — so the next step is code: `m4_strip.py` cut from `m3_matrix.py`,
-`m4_verdict.py`, `test_m4.py`, and the D19–D22 entries appended to
-`docs/DECISIONS.md` in that same code PR. After M4: write-up + `/seed-hunt`.
-The S1 (7B) and S2 (lexical vs semantic scope) stretches were declined for
-this repo and banked as idea #13 in
-`~/Projects/j-lens-proj-ideas/jlens-followon-backlog.md`; they compete in the
-seed-hunt on equal terms.
+**Next action:** the write-up, then `/seed-hunt`. Every measurement stage is
+closed and M3's stated bound — "nothing here shows that deleting France spares
+the other 48 M1 concepts" — is now measured rather than assumed. The S1 (7B) and
+S2 (lexical vs semantic scope) stretches were declined for this repo and banked
+as idea #13 in `~/Projects/j-lens-proj-ideas/jlens-followon-backlog.md`; they
+compete in the seed-hunt on equal terms.
 
 **Key facts**
 - Fact — Anchor: S4b (dim-stage), concept-specific off-switch at 1.5B, +.727
@@ -77,6 +77,36 @@ seed-hunt on equal terms.
   / 105 (1.5B) / 116 (3B); primed 0/69, 0/105, 12/116; contrast +0.478 / +0.762
   / +0.690. Planets and musical instruments go from 0 gated items on every
   subject to 7/8/15 and 2/8/13 of 18.
+- Fact — M4 (2026-07-29): on the 12-prime × 180-item strip at the late third
+  (λ = 1, k = 1), the gated non-subset items surviving **all 12** deletions are
+  **51/71 = 0.718 [0.605, 0.810]** at 1.5B and **63/84 = 0.750 [0.648, 0.830]**
+  at 3B, both clearing the pre-registered 0.5 bar; 0.5B `not shown` off-gate at
+  11/41 = 0.268 [0.157, 0.419]. Every pre-registered n and ceiling landed exactly
+  (arms 41/71/84, ceilings 35/41, 69/71, 82/84 with the named misses). No
+  degeneracy fired on the dispositive arm.
+- Fact — both gate-bearing verdicts carry **AS-SCORED ONLY**: the pre-registered
+  concept-level collapse reads 0.585 (lower **0.434**) at 1.5B and 0.605 (lower
+  **0.456**) at 3B — below the bar while the item-level gate clears it — so per
+  D20 those are the honest numbers to quote. The residual-conservative read
+  clears at both (49/71 lower 0.575, 62/84 lower 0.635).
+- Fact — M4's descriptive map (no gate reads it): finding 1 **generalizes out of
+  sample** — no prime is a wrecking ball (1.5B rows all 63–67/71, 3B all
+  77–83/84), while specific probe columns collapse (`copper` 6/12, `mosquito`
+  8/12 at 1.5B; `eagle` 8/12, `platinum` 9/12 at 3B) and 32/53 and 33/55 gated
+  columns take **zero** collateral. Category-block collateral is real in the
+  wider vocabulary and does **not** dissolve with scale (within 22/29 vs cross
+  769/823 at 1.5B; 35/53 vs 913/955 at 3B).
+- Inference — M3's "category collateral dissolves by 1.5B" was an artefact of
+  **arm composition**, not scale: M3's within-category arm was 30 of 34 pairs
+  countries, while the strip's samples ten categories. A one-sided sample
+  inverted the finding; M3's numbers stand, their scope narrows.
+- Inference — 0.5B is the first measured divergence between the subset-12's
+  robustness and the wider roster's: 30 of 41 gate-arm items (73%) are damaged by
+  at least one deletion, against 28% at 1.5B and 25% at 3B.
+- Decision — D19–D22 frozen 2026-07-29 (M4-BRIEF), (a) across the board, with two
+  post-freeze ratified amendments to the D20 wording package (the AS-SCORED ONLY
+  mechanism; the `not shown` failing label, 0.5B scoping, bar-level-only
+  attachment and both string templates).
 - Decision — K1–K4 at kickoff: slug/visibility, naming-only competence gate,
   lens provenance (no refits in core), stats ruler ported verbatim.
 - Fact — Lens artifacts gitignored (70–560MB); sourced from local dim-stage
diff --git a/README.md b/README.md
index 5694831..d442121 100644
--- a/README.md
+++ b/README.md
@@ -30,9 +30,30 @@ pre-registered gates frozen as code before any run):
 **The honest framing:** an effect *found during a replication, characterized
 here* — the anchor is dim-stage's own recorded result, not a paper claim.
 
-**Status: M3 PASSED 2026-07-28 — the v1 chain is complete; close-out stage M4
-is in flight — brief reviewed, decisions D19–D22 frozen 2026-07-29, runner not
-yet written.** On the full 12 × 12 prime × probe matrix at the switch's home
+**Status: M4 PASSED 2026-07-29 — every measurement stage is closed.** The
+close-out stage widened M3's probe side from 12 concepts to all 60: keep the 12
+characterized directions as the things deleted, and ask *every* item in the
+frozen 180-item battery. Deleting any one of those directions at the late third
+**spares most of the measurable wider vocabulary** — of the gated items whose
+concept is outside M3's twelve, **51/71 = 0.718 [0.605, 0.810]** survive all 12
+deletions at 1.5B and **63/84 = 0.750 [0.648, 0.830]** at 3B, both clearing the
+pre-registered 0.5 bar. Both verdicts carry the pre-declared **AS-SCORED ONLY**
+qualifier: collapsed to one binary per *concept* rather than per item, the same
+statistic reads 0.585 (lower 0.434) and 0.605 (lower 0.456) — below the bar — and
+the brief pre-committed those as the honest numbers, so they ride inside the
+verdict string rather than sitting in prose. 0.5B reads `not shown` (11/41 =
+0.268) off-gate, the first measured divergence between the subset-12's robustness
+and the wider roster's. The strip physically contains 255 cells M1 recorded and
+468 M3 recorded, and reproduced **all 723 bit-for-bit on every subject** before
+reading a single new cell — so every sample size was knowable before the run, and
+each landed exactly as pre-registered. What the gate did not ask: collateral
+still concentrates on fragile **probes** rather than damaging **primes** (no
+prime's row falls below 63/71 at 1.5B, while `copper` takes 6/12 and `mosquito`
+8/12), and category-block collateral turns out to be real in the wider vocabulary
+and *not* to dissolve with scale — reversing an M3 finding whose within-category
+arm was 30/34 countries.
+
+**M3 PASSED 2026-07-28** — on the full 12 × 12 prime × probe matrix at the switch's home
 band, deleting one concept's direction silences that concept and leaves the
 other eleven almost untouched: at 1.5B the diagonal names **0/34** while the
 pooled off-diagonal names **363/374** (+0.971 [+0.867, +0.983]); at 3B 3/32 vs
@@ -75,15 +96,13 @@ deterministic prefix rule on the recorded 3-token span (decision D9b, frozen
 before any run), M1's published numbers stand untouched, and the re-score is
 published beside them as a labelled reanalysis (D10a) in which the contrast
 survives on every subject and the dark categories light up. **The v1 chain
-(M0–M3) is now closed.** In progress: close-out stage **M4, the vocabulary
-collateral strip** (12 characterized directions × all 60 concepts), which
-measures the one thing M3's near-white grid does *not* show — that deleting
-France spares the other 48 concepts. Its brief is adversarially reviewed and
-its decisions (D19–D22) were frozen 2026-07-29, before any runner code exists
-— the lineage's freeze-before-code discipline. The S1 (7B) and S2 (lexical vs
-semantic scope) stretches were declined for this repo and banked for a future
-seed-hunt. Models: Qwen2.5-0.5B/1.5B/3B-Instruct, local MPS, forward-only;
-core chain $0.
+(M0–M3) closed 2026-07-28, and the close-out stage M4 landed 2026-07-29** —
+measuring the one thing M3's near-white grid did *not* show, that deleting France
+spares the other 48 concepts. Every stage's gate wording was frozen as code
+before its first run, M4's included, and each stage re-certifies its predecessors
+bit-for-bit rather than trusting them. The S1 (7B) and S2 (lexical vs semantic
+scope) stretches were declined for this repo and banked for a future seed-hunt.
+Models: Qwen2.5-0.5B/1.5B/3B-Instruct, local MPS, forward-only; whole project $0.
 
 Full brief: [`docs/KICKOFF.md`](docs/KICKOFF.md). The 12-idea backlog this was
 picked from: dim-stage
diff --git a/docs/LEARNING.md b/docs/LEARNING.md
index 87d25cf..4a8e4cb 100644
--- a/docs/LEARNING.md
+++ b/docs/LEARNING.md
@@ -282,3 +282,107 @@ earn their keep by being pre-registered as descriptive, not by being small.
    two simpler readouts this replaced and the specific way each one lies —
    and explain why it matters that the qualifier can never turn a "not shown"
    into a result.
+
+## M4 — the vocabulary collateral strip (2026-07-29)
+
+**The same digits can mean opposite things in two statistics.** M3 gated on a
+**per-cell** floor of 0.5 — "of all the (deleted concept, probed item) cells,
+what fraction still name the word?" M4 gates on a **conjunction**: "what fraction
+of items survive *all twelve* deletions?" Those are not the same quantity, and a
+0.5 bar on one is nothing like a 0.5 bar on the other: if the twelve deletions
+were independent, a conjunction of 0.5 would require a per-cell rate of
+0.5^(1/12) ≈ **0.944**. The 0.5B run made this concrete rather than theoretical —
+on *the same cells*, the per-cell floor reads 32/41 → [0.633, 0.880], clearing
+0.5 comfortably, while the conjunction reads 0.268. Reusing M3's constant because
+it was "already pre-registered" would have imported a number that meant something
+else. The fix wasn't to change the bar; it was to declare it **new**, own it as
+lenient and uncalibrated, and write the per-cell equivalence into the frozen gate
+wording so no later write-up can quote it as M3's floor.
+
+**A qualifier needs a *mechanism*, not just a sentence.** M3's ON A DAMAGED FLOOR
+worked because the runner attached it conditionally, from the numbers. M4's first
+draft borrowed the shape and dropped the mechanism: it stated in prose that two
+conservative reads could be the honest ones, then froze a verdict string that
+carried only the as-scored number. The round-4 review caught it, and the fix —
+`AS-SCORED ONLY`, attached by the runner whenever a conservative read's lower
+bound falls below the bar while the as-scored read's does not — turned out to
+matter in the actual run: the concept-level collapse reads 0.585 (lower 0.434) at
+1.5B and 0.605 (lower 0.456) at 3B, below the bar at *both* gate-bearing
+subjects. Without the amendment, the published label would have been a bare
+`VOCAB-SPARING` sitting on top of a number the brief itself had already called
+the honest one.
+
+**Failing a lower bound is not proving the opposite.** A Wilson interval's lower
+bound sitting under 0.5 says "this data doesn't establish the floor is above
+0.5" — it does not say "the floor is below 0.5". At 1.5B, k = 40 of 71 would have
+a *point estimate* of 0.563, above the bar, with an interval straddling it. That
+is why the failing label is the lineage's `not shown` rather than a confident
+`NOT VOCAB-SPARING`, and why 0.5B's `not shown` is a statement about evidence,
+not a claim that 0.5B's vocabulary is unspared. (Its 73%-damaged rate is the
+claim; the label is not.)
+
+**"Fail in place" — keep a mitigation from quietly becoming a rescue.** The D9(b)
+oracle can't observe a word's closing boundary when the word fills the recorded
+3-token span, so `Beetlejuice` would score as `beetle`. The conservative fix
+re-scores every such cell as a miss. But *which denominator?* If you re-score the
+clean cell too, the item un-gates and leaves the arm — and with the same
+numerator, `wilson(43, 71)` = 0.489 **fails** while `wilson(43, 69)` = 0.505
+**passes**. A "conservative" reading that can raise the number is not
+conservative. Fail-in-place — the item stays in the arm and scores as a failure —
+keeps the read strictly one-way.
+
+**A selector rule can be worded so it selects nothing.** The residual rule went
+through three drafts, and each broken version failed *silently*. "The span fills
+the 3-token window" selects **every** recorded cell, because `greedy_continuation`
+always decodes exactly three tokens. A **case-exact** "span equals the spelling"
+selects **zero**, because the model emits `'Beetle'` and the roster spells
+`beetle` — a mitigation that runs, reports, and does nothing. The rule that works
+is "equals the spelling with nothing following it, compared case-insensitively,
+exactly as the oracle compares." Both failure directions are now unit tests,
+because neither would ever announce itself: one over-fires into noise, the other
+under-fires into a no-op.
+
+**A one-sided sample can invert a finding.** M3 found category-block collateral
+dissolving with scale — but M3's within-category arm was 30 of 34 pairs
+*countries*. The strip's within-category arm samples ten categories, and the
+effect not only survives at 3B, it is the largest structure in the run: 35/53
+within-category survival against 913/955 cross-category. Same lineage, same
+operator, opposite conclusion — because the earlier arm's composition, not the
+scale, was doing the work.
+
+**Re-certification is cheap enough to do twice.** M4's strip physically contains
+255 cells M1 recorded and 468 M3 recorded, so it re-runs both and demands
+bit-for-bit agreement before reading a single new cell — 723 comparisons per
+subject, all exact, including every float of `concept_mass`. That has a second
+payoff beyond drift-catching: because the 180 `clean` cells are inside the
+certified set, and gating is deterministic, **every sample size in the run was
+knowable before it started**. The power table stopped being a projection and
+became a cross-check — a run that disagreed would have been INVALID, not a
+surprise.
+
+**A single-clause gate needs a liveness check inside its own wording.** Every
+earlier gate compared an intervened arm against another *measured* arm, so a
+broken intervention could never pass. M4's bar reads only off-target survival —
+so an ablation that did nothing at all would score ~100% survival and print
+`VOCAB-SPARING`. The re-run of M3's 432 matrix cells is what forecloses that, but
+that guarantee lived in a design doc and an exit code, not in the sentence a
+write-up quotes. Putting it *inside* `GATE_WORDING` means the claim cannot be
+quoted out of its own precondition.
+
+### Recall questions
+
+1. M3 and M4 both use a bar of **0.5**, and the M4 brief insists this is a
+   **new** constant with no provenance from M3. Explain what each 0.5 is a bar
+   *on*, why 0.5B's own numbers (32/41 → [0.633, 0.880] versus 0.268) are the
+   cleanest demonstration that the two are unrelated, and why D17's tolerance for
+   an uncalibrated constant did **not** transfer to M4.
+2. Both gate-bearing subjects passed the gate and both verdicts carry
+   `AS-SCORED ONLY`. Say what fired it, what the honest number to quote is, and
+   why the qualifier is *mechanically incapable* of appearing beside a
+   `not shown` — then explain what would have been published had the round-4
+   review not restored it.
+3. The residual-conservative read re-scores cells as misses and keeps the
+   denominator at 41/71/84 rather than letting affected items un-gate. Name the
+   two rejected selector wordings and the opposite way each one fails, and show
+   with the brief's own numbers why the shrinking denominator would have been the
+   *less* conservative choice.
diff --git a/docs/M4-BRIEF.md b/docs/M4-BRIEF.md
index 6ac6e67..c0293d0 100644
--- a/docs/M4-BRIEF.md
+++ b/docs/M4-BRIEF.md
@@ -645,3 +645,113 @@ from `m3_matrix.py` (never from certified predecessors), verdict in
   residual is owned in the deviations table and carried by the
   residual-conservative read (D20), not by a rule change. Never an LLM judge,
   never free-text parsing (standing guardrail).
+
+---
+
+## Results (2026-07-29) — **VOCAB-SPARING at 1.5B AND 3B, AS-SCORED ONLY**
+
+Three subjects, 2,340 cells each, ~50 minutes total on MPS, $0. `GATE_WORDING`
+was frozen as code and the gates dry-run (six wrong-arm inputs exiting INVALID
+with named reasons) before the first real cell.
+
+**The re-certification, two generations deep, on every subject:** M1
+**255/255** cells and M3 **468/468** cells reproduced bit-for-bit on the raw
+recorded strings, with `concept_mass` exact on all 723 comparisons — ×3 subjects.
+Because that surface includes all 180 `clean` cells, every realized n below was
+knowable before the run, and every one landed exactly as pre-registered.
+
+| Readout | 0.5B | 1.5B | 3B |
+|---|---|---|---|
+| Gated items (full roster) | 69 | 105 | 116 |
+| **Gate arm** (gated non-subset) | **41** | **71** | **84** |
+| **Survives all 12** | **11/41 = 0.268** | **51/71 = 0.718** | **63/84 = 0.750** |
+| Wilson 95% | [0.157, 0.419] | **[0.605, 0.810]** | **[0.648, 0.830]** |
+| vs the pre-registered bar 0.5 | fails (off-gate) | **clears** | **clears** |
+| Residual-conservative (fail in place) | 11/41 = 0.268 | 49/71 = 0.690, lower 0.575 | 62/84 = 0.738, lower 0.635 |
+| Concept-level collapse | 4/23 = 0.174 | **24/41 = 0.585, lower 0.434** | **26/43 = 0.605, lower 0.456** |
+| Pre-registered ceiling | 35/41 ✓ | 69/71 ✓ | 82/84 ✓ |
+| Verdict | `not shown` | **VOCAB-SPARING — AS-SCORED ONLY** | **VOCAB-SPARING — AS-SCORED ONLY** |
+
+**M4 VERDICT: VOCAB-SPARING at 1.5B AND 3B — AS-SCORED ONLY.** Deleting any one
+of the 12 characterized directions at the late third spares most of the
+measurable wider vocabulary. M3's stated bound is closed: it is now measured,
+not assumed, that deleting France spares the other 48 concepts' items.
+
+**The qualifier fired, and it earned its existence.** The concept-level collapse
+— one binary per concept instead of per item — reads 0.585 (lower **0.434**) at
+1.5B and 0.605 (lower **0.456**) at 3B: *below* the bar at both gate-bearing
+subjects while the item-level gate clears it. Per D20's pre-commitment those are
+**the honest numbers to quote**, and Amendment 1 is exactly why they ride inside
+the verdict string instead of sitting in prose. The residual-conservative read
+clears the bar at both (49/71, 62/84), so only one of the two reads fired. Had
+the qualifier not been restored at round 4, the published label would have been a
+bare `VOCAB-SPARING` over a conservative read the brief itself had already named
+as the honest one.
+
+**Every pre-registered number landed.** Gate arms 41/71/84; concept counts
+23/41/43; ceilings 35/41, 69/71, 82/84 with exactly the named misses (`july-1`,
+`april-1`, `april-3`, `gold-1/2/3` at 0.5B; `july-3`, `venus-3` at 1.5B;
+`guitar-2`, `neptune-1` at 3B). No degeneracy fired on the dispositive arm
+(shares 0.022 / 0.011 / 0.011 against a 0.5 threshold) and the subset diagonal
+carried no collapse tag.
+
+### The residual set was larger in the ablated arm than in the clean arm
+
+The clean-arm gate-arm residual cells were the pre-computed **0 / 2 / 2**. The
+*run* recorded **0 / 27 / 21** residual cells in total (26 / 21 in the gate arm),
+all on `beetle`, `butterfly` and `trumpet` — the three concepts `oracle.py`'s
+frozen docstring names. This is precisely the case D20 wrote the selector for
+("in the ablated cells the set is whatever the run records"), and it is why the
+residual-conservative read moves the number at all: 51 → 49 at 1.5B, 63 → 62 at
+3B. A case-exact selector would have found zero of them.
+
+### Descriptive findings the gate never asked for
+
+1. **Finding 1 generalizes out of sample — there *are* silver-like columns among
+   the 48.** Collateral still concentrates on fragile **probes**, not damaging
+   **primes**. No prime is a wrecking ball: at 1.5B every row lands between 63/71
+   and 67/71, at 3B between 77/84 and 83/84. But specific probe columns collapse:
+   `copper` 6/12 and `mosquito` 8/12 at 1.5B; `eagle` 8/12, `platinum` 9/12 and
+   `trumpet` 18/36 at 3B. Meanwhile **32 of 53** gated columns at 1.5B and **33
+   of 55** at 3B take *zero* collateral across all 12 deletions. The distribution
+   is bimodal, which is what makes the item-level and concept-level statistics
+   diverge.
+2. **Category-block collateral is real in the wider vocabulary and does NOT
+   dissolve with scale** — the reverse of what M3 found inside the subset.
+   Within-category vs cross-category survival: 5/22 vs 382/470 at 0.5B, **22/29
+   (0.759) vs 769/823 (0.934)** at 1.5B, **35/53 (0.660) vs 913/955 (0.956)** at
+   3B. M3 saw within-category collateral dissolve by 1.5B, but M3's within arm
+   was 30/34 countries; the strip's within arm samples ten categories.
+3. **0.5B is the first measured divergence between the subset's robustness and
+   the wider roster's.** 30 of its 41 gate-arm items (73%) are damaged by at
+   least one deletion, against 28% at 1.5B and 25% at 3B. Read under the standing
+   any-direction-damage frame, never as a gate claim — and consistent in advance
+   with M3's own 0.5B subset failing this bar in-statistic (19/28, lower 0.4934),
+   the 0/6 proxy and M1's 33/69 0.5B control cell.
+4. **The two statistics disagree by design, and 0.5B shows it starkly.** The
+   M3-comparable cluster-mean per-cell floor reads **32/41 → [0.633, 0.880]** at
+   0.5B — comfortably above 0.5 — while the 12-fold conjunction on the same cells
+   reads 0.268. Same subject, same cells, opposite side of the same constant.
+   That is the sharpest possible illustration of why D20 refused to inherit M3's
+   0.5 and wrote the per-cell equivalence (0.5^(1/12) ≈ 0.944) into the frozen
+   wording.
+5. **The five cross-mention cells did not carry the verdict, as predicted.** At
+   3B all four gate-bearing cells named their concept; at 1.5B three named and
+   `China→jade-1` missed; `Egypt→beetle-2` remains ungated on all three subjects.
+
+### Honest limits
+
+- **The claim is sparing across the *measurable* vocabulary**, said exactly that
+  way. 25 / 7 / 5 of the 48 non-subset concepts gate zero items — a competence
+  selection that plausibly enriches for robust concepts and biases the floor
+  **upward**.
+- **The concept-level read is below the bar at both gate-bearing subjects.** The
+  AS-SCORED ONLY qualifier is not decoration: an honest one-line summary is "the
+  item-level floor clears 0.5; the concept-level floor's lower bound does not."
+- **The 0.5 constant is lenient and uncalibrated**, pre-registered before any new
+  cell and fitted to none. It is a floor bar, not an effect size; at the realized
+  1.5B rate, 20 of 71 measurable items are still damaged by at least one of the
+  12 deletions.
+- **Prime-side correlation structure is now measured but not modelled** — the
+  survives-all-12 statistic is conservative under it, and the strip records the
+  per-pair cells a later stage could model.
diff --git a/docs/ROADMAP.md b/docs/ROADMAP.md
index effd632..06e6a2e 100644
--- a/docs/ROADMAP.md
+++ b/docs/ROADMAP.md
@@ -10,5 +10,6 @@ with the code.
 | **M1 — breadth** | How much of the measurable vocabulary has an off-switch? | Pooled primed_late < control_late naming, CI-clean at 1.5B AND 3B | **PASSED** (2026-07-28: BREADTH-SPECIFIC at both gate-bearing subjects — 1.5B +0.656 [+0.517,+0.763], 3B +0.636 [+0.443,+0.759]; 0.5B also +0.447 [+0.275,+0.603] off-gate; anchor cross-check re-certified bit-for-bit on all three runs; see M1-BRIEF results) |
 | **M2 — localization + dose** | Where does the switch live; how much removal does it take? | Late-window effect CI-cleanly > early and middle, pooled | **PASSED** (2026-07-28: LATE-LOCALIZED at both gate-bearing subjects — 1.5B early−late +0.853 [+0.668,+0.936] / middle−late +0.794 [+0.603,+0.897], 3B +0.750 [+0.531,+0.857] / +0.688 [+0.463,+0.812]; 0.5B also LATE-LOCALIZED off-gate but on a raised damage floor; M1 cross-check re-certified bit-for-bit 108/108 cells ×3; dose is a dimmer, not a step; see M2-BRIEF results) |
 | **M3 — specificity matrix** | Diagonal suppression vs off-diagonal collateral | Diagonal > off-diagonal CI-clean at 1.5B AND 3B (D17: pooled AND within-category) | **PASSED** (2026-07-28: MATRIX-SPECIFIC at both gate-bearing subjects — 1.5B clause(1) +0.971 [+0.867,+0.983] / clause(2) +0.950 [+0.814,+0.978], 3B +0.881 [+0.731,+0.943] / +0.891 [+0.730,+0.947]; 0.5B also MATRIX-SPECIFIC off-gate; collateral floor clear on all three, so no ON A DAMAGED FLOOR qualifier; M1 cross-check re-certified bit-for-bit 108/108 cells ×3; collateral concentrates on fragile *probes* not damaging *primes*; see M3-BRIEF results) |
+| **M4 — vocabulary collateral strip** (close-out, post-KICKOFF) | Does deleting one concept spare the *other 48*? | Gated non-subset items surviving all 12 deletions, Wilson lower ≥ 0.5, at 1.5B AND 3B (D20) | **PASSED** (2026-07-29: VOCAB-SPARING at both gate-bearing subjects — 1.5B 51/71 = 0.718 [0.605, 0.810], 3B 63/84 = 0.750 [0.648, 0.830]; **both carry AS-SCORED ONLY**, because the concept-level collapse reads 0.585 (lower 0.434) and 0.605 (lower 0.456) — below the bar; 0.5B `not shown` off-gate at 11/41 = 0.268; M1 **255/255** and M3 **468/468** cells re-certified bit-for-bit ×3; every pre-registered n and ceiling landed exactly; see M4-BRIEF results) |
 | S1 — scale (stretch) | Does specificity keep sharpening at 7B? | descriptive; 7B lens fit ≤ $15 on rented GPU | optional |
 | S2 — scope (stretch) | Token mute button or concept mute button? | descriptive; frozen alt-form lists | optional |
diff --git a/results/m4-strip-qwen2.5-0.5b-instruct.json b/results/m4-strip-qwen2.5-0.5b-instruct.json
new file mode 100644
index 0000000..b346dc8
--- /dev/null
+++ b/results/m4-strip-qwen2.5-0.5b-instruct.json
@@ -0,0 +1,39486 @@
+{
+ "milestone": "M4",
+ "model_id": "Qwen/Qwen2.5-0.5B-Instruct",
+ "lens": "lenses/qwen2.5-0.5b-instruct-n100.pt",
+ "lens_n_prompts": 100,
+ "band": [
+  9,
+  10,
+  11,
+  12,
+  13,
+  14,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  21
+ ],
+ "thirds": {
+  "early": [
+   9,
+   10,
+   11,
+   12
+  ],
+  "middle": [
+   13,
+   14,
+   15,
+   16
+  ],
+  "late": [
+   17,
+   18,
+   19,
+   20,
+   21
+  ]
+ },
+ "ablated_layers": [
+  17,
+  18,
+  19,
+  20,
+  21
+ ],
+ "lambda": 1.0,
+ "mode": "gate (survives-all-12 on the gated non-subset items) + descriptive (the strip)",
+ "environment": {
+  "device": "mps",
+  "torch": "2.13.0",
+  "transformers": "5.13.1",
+  "certified": true,
+  "uncertified_reasons": []
+ },
+ "protocol": {
+  "instructions": {
+   "naming": "Consider this sentence: \"{clue}\"\n\nWhich {noun} is the sentence describing? Answer with just the name."
+  },
+  "primes": [
+   "Brazil",
+   "Canada",
+   "China",
+   "Egypt",
+   "France",
+   "Japan",
+   "Jupiter",
+   "Mars",
+   "piano",
+   "violin",
+   "October",
+   "silver"
+  ],
+  "subset_strata": {
+   "S1_hard_switch_core": [
+    "Brazil",
+    "Canada",
+    "China",
+    "France",
+    "Japan"
+   ],
+   "S2_readout_unlocked": [
+    "Jupiter",
+    "Mars",
+    "piano",
+    "violin"
+   ],
+   "S3_leaky_switch": [
+    "Egypt",
+    "October"
+   ],
+   "S4_non_specific_anti_example": [
+    "silver"
+   ]
+  },
+  "concept_categories": {
+   "France": "countries",
+   "China": "countries",
+   "Egypt": "countries",
+   "Canada": "countries",
+   "February": "months",
+   "July": "months",
+   "October": "months",
+   "April": "months",
+   "lion": "animals",
+   "eagle": "animals",
+   "shark": "animals",
+   "spider": "animals",
+   "Mars": "planets",
+   "Saturn": "planets",
+   "piano": "musical instruments",
+   "guitar": "musical instruments",
+   "diamond": "gemstones",
+   "gold": "precious metals",
+   "cow": "farm animals",
+   "bee": "insects",
+   "Japan": "countries",
+   "Brazil": "countries",
+   "January": "months",
+   "September": "months",
+   "tiger": "animals",
+   "bear": "animals",
+   "Venus": "planets",
+   "Jupiter": "planets",
+   "Mercury": "planets",
+   "Neptune": "planets",
+   "violin": "musical instruments",
+   "drum": "musical instruments",
+   "trumpet": "musical instruments",
+   "flute": "musical instruments",
+   "silver": "precious metals",
+   "platinum": "precious metals",
+   "copper": "precious metals",
+   "bronze": "precious metals",
+   "iron": "precious metals",
+   "ruby": "gemstones",
+   "pearl": "gemstones",
+   "jade": "gemstones",
+   "opal": "gemstones",
+   "amber": "gemstones",
+   "pig": "farm animals",
+   "horse": "farm animals",
+   "sheep": "farm animals",
+   "chicken": "farm animals",
+   "duck": "farm animals",
+   "ant": "insects",
+   "beetle": "insects",
+   "butterfly": "insects",
+   "moth": "insects",
+   "mosquito": "insects",
+   "Monday": "days of the week",
+   "Tuesday": "days of the week",
+   "Thursday": "days of the week",
+   "Friday": "days of the week",
+   "Saturday": "days of the week",
+   "Sunday": "days of the week"
+  },
+  "conditions": [
+   {
+    "name": "clean",
+    "group": "clean",
+    "direction": null,
+    "layers": [],
+    "lam": 0.0
+   },
+   {
+    "name": "ablate_Brazil",
+    "group": "prime",
+    "direction": "Brazil",
+    "layers": [
+     17,
+     18,
+     19,
+     20,
+     21
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Canada",
+    "group": "prime",
+    "direction": "Canada",
+    "layers": [
+     17,
+     18,
+     19,
+     20,
+     21
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_China",
+    "group": "prime",
+    "direction": "China",
+    "layers": [
+     17,
+     18,
+     19,
+     20,
+     21
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Egypt",
+    "group": "prime",
+    "direction": "Egypt",
+    "layers": [
+     17,
+     18,
+     19,
+     20,
+     21
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_France",
+    "group": "prime",
+    "direction": "France",
+    "layers": [
+     17,
+     18,
+     19,
+     20,
+     21
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Japan",
+    "group": "prime",
+    "direction": "Japan",
+    "layers": [
+     17,
+     18,
+     19,
+     20,
+     21
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Jupiter",
+    "group": "prime",
+    "direction": "Jupiter",
+    "layers": [
+     17,
+     18,
+     19,
+     20,
+     21
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Mars",
+    "group": "prime",
+    "direction": "Mars",
+    "layers": [
+     17,
+     18,
+     19,
+     20,
+     21
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_piano",
+    "group": "prime",
+    "direction": "piano",
+    "layers": [
+     17,
+     18,
+     19,
+     20,
+     21
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_violin",
+    "group": "prime",
+    "direction": "violin",
+    "layers": [
+     17,
+     18,
+     19,
+     20,
+     21
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_October",
+    "group": "prime",
+    "direction": "October",
+    "layers": [
+     17,
+     18,
+     19,
+     20,
+     21
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_silver",
+    "group": "prime",
+    "direction": "silver",
+    "layers": [
+     17,
+     18,
+     19,
+     20,
+     21
+    ],
+    "lam": 1.0
+   }
+  ],
+  "cells_planned": 2340,
+  "recorded_surfaces": {
+   "m1_cells": 255,
+   "m1_items": 180,
+   "m3_cells": 468,
+   "m3_items": 36
+  },
+  "cross_mention_pairs": [
+   [
+    "October",
+    "september-2"
+   ],
+   [
+    "silver",
+    "flute-1"
+   ],
+   [
+    "China",
+    "jade-1"
+   ],
+   [
+    "October",
+    "opal-2"
+   ],
+   [
+    "Egypt",
+    "beetle-2"
+   ]
+  ],
+  "gate": "greedy-span naming-only under D9(b); first-token recorded beside",
+  "readback_tol": 0.0001,
+  "min_n": 20,
+  "collapse_share": 0.5,
+  "p_name_floor": 0.85,
+  "span_tokens": 3,
+  "survival_lower_bound": 0.5,
+  "cluster_floor_reference": 0.5,
+  "run_time_bars": {
+   "span_tokens": 3,
+   "words_checked": 60,
+   "form_lengths": {
+    "April": [
+     1,
+     1
+    ],
+    "Brazil": [
+     1,
+     1
+    ],
+    "Canada": [
+     1,
+     1
+    ],
+    "China": [
+     1,
+     1
+    ],
+    "Egypt": [
+     1,
+     1
+    ],
+    "February": [
+     1,
+     1
+    ],
+    "France": [
+     1,
+     1
+    ],
+    "Friday": [
+     1,
+     1
+    ],
+    "January": [
+     1,
+     1
+    ],
+    "Japan": [
+     1,
+     1
+    ],
+    "July": [
+     1,
+     1
+    ],
+    "Jupiter": [
+     2,
+     1
+    ],
+    "Mars": [
+     2,
+     1
+    ],
+    "Mercury": [
+     2,
+     1
+    ],
+    "Monday": [
+     1,
+     1
+    ],
+    "Neptune": [
+     2,
+     1
+    ],
+    "October": [
+     1,
+     1
+    ],
+    "Saturday": [
+     1,
+     1
+    ],
+    "Saturn": [
+     2,
+     1
+    ],
+    "September": [
+     1,
+     1
+    ],
+    "Sunday": [
+     1,
+     1
+    ],
+    "Thursday": [
+     1,
+     1
+    ],
+    "Tuesday": [
+     1,
+     1
+    ],
+    "Venus": [
+     2,
+     1
+    ],
+    "amber": [
+     1,
+     1
+    ],
+    "ant": [
+     1,
+     1
+    ],
+    "bear": [
+     1,
+     1
+    ],
+    "bee": [
+     1,
+     1
+    ],
+    "beetle": [
+     3,
+     1
+    ],
+    "bronze": [
+     2,
+     1
+    ],
+    "butterfly": [
+     3,
+     1
+    ],
+    "chicken": [
+     2,
+     1
+    ],
+    "copper": [
+     2,
+     1
+    ],
+    "cow": [
+     1,
+     1
+    ],
+    "diamond": [
+     1,
+     1
+    ],
+    "drum": [
+     2,
+     1
+    ],
+    "duck": [
+     1,
+     1
+    ],
+    "eagle": [
+     2,
+     1
+    ],
+    "flute": [
+     2,
+     1
+    ],
+    "gold": [
+     1,
+     1
+    ],
+    "guitar": [
+     2,
+     1
+    ],
+    "horse": [
+     1,
+     1
+    ],
+    "iron": [
+     1,
+     1
+    ],
+    "jade": [
+     2,
+     1
+    ],
+    "lion": [
+     1,
+     1
+    ],
+    "mosquito": [
+     2,
+     1
+    ],
+    "moth": [
+     1,
+     1
+    ],
+    "opal": [
+     1,
+     2
+    ],
+    "pearl": [
+     2,
+     1
+    ],
+    "piano": [
+     2,
+     1
+    ],
+    "pig": [
+     1,
+     1
+    ],
+    "platinum": [
+     2,
+     1
+    ],
+    "ruby": [
+     1,
+     1
+    ],
+    "shark": [
+     2,
+     1
+    ],
+    "sheep": [
+     2,
+     1
+    ],
+    "silver": [
+     1,
+     1
+    ],
+    "spider": [
+     2,
+     1
+    ],
+    "tiger": [
+     2,
+     1
+    ],
+    "trumpet": [
+     3,
+     1
+    ],
+    "violin": [
+     2,
+     1
+    ]
+   },
+   "worst_form_length": 3,
+   "all_ascii": true
+  },
+  "items": "items/m1-battery.json",
+  "gate_wording": {
+   "oracle": "D9(b), frozen 2026-07-28 before any M2 run. PRIMARY READOUT: the concept is produced iff the decoded first-3-greedy span, after stripping leading whitespace, opens with the concept's spelling at a word boundary, case-insensitive \u2014 a prefix rule, never containment ('not France' is a miss), with the word boundary defined as 'the next character is not a letter or digit' ('Marseille' is not Mars) and the END OF THE SPAN counting as a boundary (review F5: a word that exactly fills the recorded span, 'Butterfly', is a hit \u2014 truncation must never turn a completed word into a miss). Case-insensitive because orthography is not semantics: 'Piano' is the word piano, and the widening is measured to do real work (1.5B prefix gate 72 case-exact -> 105 case-insensitive). This is a fixed string rule on a deterministic greedy span, frozen as code with unit tests \u2014 never free-text parsing and never an LLM judge. S4's 'The ...' miss-counting caveat is UNCHANGED in kind and still owned: 'The France' remains a miss. The first-token outcome is computed and recorded beside every cell, so every cross-check against M0/M1 artifacts compares raw recorded fields and is oracle-independent. OWNED RESIDUAL (review F12): for the three concepts whose bare form fills the 3-token span (beetle, butterfly, trumpet) the closing boundary is unobservable, so a longer word sharing those tokens would score as a hit ('Beetlejuice' truncates to exactly 'Beetle'). Six recorded M1 cells fill the span this way; each is a completed word on inspection and is the item's own intended answer, but the truncated recording cannot rule out a longer continuation, so the residual is owned rather than excluded. None of the three concepts is in M2's subset.",
+   "competence": "D9(b) + D6(a) item-level greedy-span naming-only gate, carried verbatim from M2/M3: an item enters the gated set iff its CLEAN naming span satisfies the D9(b) oracle above. Gating is a property of the clean arm alone, decided once per item and DIRECTION-INDEPENDENT, so every one of this run's 12 prime columns shares ONE gated set \u2014 which is what makes the rows, the columns and the pooled arms comparable. Gating is per-subject. M1's first-token gate is computed and recorded beside it as texture, never gating here. The paper-style verbatim-P rate (clean concept mass >= 0.85) is reported alongside as texture, never gating; note it is floor-pinned by construction for concepts whose emitted bare spelling has no single-token form (the mass-channel scope, D13). OWNED, AND THE REASON THE CLAIM SAYS WHAT IT SAYS: 25 / 7 / 5 of the 48 non-subset concepts gate ZERO items at 0.5B / 1.5B / 3B, because the model answers something else, answers correctly behind a modifier the opening-word rule refuses, or misses on morphology \u2014 a COMPETENCE SELECTION, not tokenizer geometry (under D9(b) the gate is a prefix on the 3-token span, so it is insensitive to token count up to 3). Confidently-named concepts are plausibly the robust ones, so the selection biases the measured sparing floor UPWARD (F12's selection-enrichment mechanism, now on the probe side). The claim is sparing across the MEASURABLE vocabulary, said exactly that way.",
+   "sparing": "D20(a), pre-committed before any M4 run, with both post-freeze amendments ratified by Kyle 2026-07-29. VOCAB-SPARING iff, per subject: among the gated NON-SUBSET items (concepts outside the 12-concept matrix roster), the proportion that SURVIVES ALL 12 subset-direction deletions \u2014 D9(b) naming success in every one of the item's 12 off-target cells \u2014 has its Wilson 95% lower bound at or above 0.5. This 0.5 is a bar on the 12-FOLD CONJUNCTION, not on per-cell survival, and is NOT M3's per-cell floor: under independence it corresponds to a per-cell survival of 0.5^(1/12) ~ 0.944, and its stringency depends on the deletion count (12) as much as on the sparing rate. The bar is read ONLY when the 468 M3-recorded and 255 M1-recorded cells in the strip reproduce their recorded outcomes bit-for-bit; any mismatch is INVALID and there is no verdict. The M4 verdict is the AND over 1.5B and 3B; 0.5B runs and is reported under its standing any-direction-damage frame, never gate-bearing. Gate-arm n < MIN_N = 20 => pre-declared UNDERPOWERED and no claim (realized n = 41 / 71 / 84 from the recorded gated sets). VERDICT STRING, PRE-COMMITTED: the label alone over-reads \u2014 clearing a floor bar is compatible with a large minority of measurable items damaged \u2014 so the verdict, whichever way it goes, carries its REALIZED SURVIVAL PROPORTION in the same string: VOCAB-SPARING when the bar is cleared and the lineage's pre-committed null 'not shown' when it is not \u2014 never an assertive negative, because failing a Wilson LOWER bound does not establish the contrary (m1_battery.py, m2_depth.py, m3_matrix.py all emit 'not shown'). The gate verdict is the AND over the two gate-bearing subjects; 0.5B's readout is reported in the same shape under its standing any-direction-damage frame and is NOT a gate verdict, so a low 0.5B reading is never a 'not shown' gate claim. CONSERVATIVE-READ QUALIFIER, PRE-DECLARED: two pre-registered reads can fall below the bar when the as-scored read clears it \u2014 the residual-conservative fail-in-place read and the concept-level collapse \u2014 and the brief pre-commits that where they diverge, THEIR numbers are the honest ones. So a CLAIM-LEVEL verdict additionally carries the qualifier AS-SCORED ONLY, naming each such read and its number, whenever any pre-registered conservative read's Wilson 95% lower bound is below 0.5 while the as-scored read's is not. The qualifier SCOPES A CLAIM AND CAN NEVER CREATE OR RESCUE ONE (D17's rule, carried), so it attaches to a bar-level verdict only and never to NOT A RESULT, DEGENERATE or UNDERPOWERED \u2014 precedence has already withheld the claim there, leaving it nothing to scope. THE TWO TEMPLATES, STATED ONCE AND IMPLEMENTED VERBATIM \u2014 base: '<label> (k/n survive all 12 = <rate>; Wilson 95% lower <lo>)'; qualifier, appended to the base string when it fires: ' \u2014 AS-SCORED ONLY (<read> k/n = <rate>, lower <lo>[; <read> ...])', with the reads listed in the fixed order residual-conservative, concept-level when both fire. Worked: 'VOCAB-SPARING (44/71 survive all 12 = 0.620; Wilson 95% lower 0.503) \u2014 AS-SCORED ONLY (residual-conservative 42/71 = 0.592, lower 0.475)'. THE 0.5 CONSTANT IS NEW, AND OWNED AS NEW \u2014 not carried from M3, whose 0.5 was a floor on cluster-collapsed PER-CELL survival while M4's is a bar on a 12-FOLD CONJUNCTION. Two consequences, stated rather than inherited. (i) STATUS CHANGED: M3's constant was itself uncalibrated and D17 tolerated that only because the qualifier it scoped could never create or rescue a claim; M4 makes a constant of the same value the SINGLE DISPOSITIVE GATE, so D17's tolerance does not transfer. (ii) THE DELETION COUNT IS HALF THE BAR: at a per-cell rate of 0.971 (M3's recorded 1.5B off-diagonal) the conjunction reads ~0.70 and clears the bar; at 0.94 it reads ~0.48 and fails. M4's 0.5 is therefore a new, deliberately lenient, uncalibrated constant \u2014 pre-registered before any new cell was run and fitted to none \u2014 and its per-cell equivalence is written into this wording so no write-up can quote it as M3's floor. It is a floor bar, not an effect-size claim; the descriptive numbers carry the actual size. WHY THE RE-CERTIFICATION CLAUSE IS INSIDE THE WORDING: every prior stage's gate compared an intervened arm against another MEASURED arm, so a dead intervention could never pass one. M4's bar is single-clause and reads only the off-target survival rate \u2014 so read in isolation, an ablation that did nothing at all would score ~100% survival and print VOCAB-SPARING. The strip's re-run of M3's 432 matrix cells and M1's 36 primed_late cells catches exactly that, and any mismatch exits INVALID; putting it in the frozen wording means the sentence cannot be quoted out of its own precondition. TRADE-OFF, OWNED: survives-all-12 is the strictest sparing statistic; a single fragile cell fails an item, and the correlation structure across the 12 deletions (unmeasured until this run) decides how harsh that is. That bias direction runs AGAINST the claim, the one direction this project accepts. Every strip cell ablates the subject's identical late-third layer set at lambda = 1, k = 1, so the compared arms differ ONLY IN WHICH DIRECTION IS REMOVED and which item is asked \u2014 never in depth, layer count, or dose (PR #7 review F2's tier-width caveat, retired structurally and stated here so it stays owned; if a later stage re-introduces tiers, the caveat clause must come back with them).",
+   "conservative_reads": "D20, both pre-registered here and NEVER dispositive; each is reported beside the gate and each can fire the AS-SCORED ONLY qualifier. (1) THE RESIDUAL-CONSERVATIVE READ. D9(b)'s owned span-truncation residual re-enters a gate-bearing arm for the first time since M1: `oracle.py`'s frozen wording closes with 'None of the three concepts is in M2's subset', and M4's wider probe side retires exactly that scope sentence. The same gate statistic is recomputed with every RESIDUAL CELL re-scored as a MISS \u2014 the maximally conservative reading of the boundary D9(b) cannot observe. A RESIDUAL CELL is one whose recorded span, after stripping leading whitespace, EQUALS THE SCORED CONCEPT'S SPELLING WITH NOTHING FOLLOWING IT \u2014 compared CASE-INSENSITIVELY, exactly as `oracle.says_concept_prefix` compares (re.IGNORECASE) \u2014 so that no boundary character is observed. The case rule is stated because it DECIDES THE SET, not as a detail: the recorded spans are 'Beetle', 'Butterfly', 'Trumpet' while the roster spellings are lowercase, so a case-EXACT comparison would select ZERO cells and silently turn this mitigation into a no-op. That is the selector: it is NOT 'the span fills the 3-token window', which every recorded cell does by construction. In the recorded clean arm the gate-arm residual cells are 0 / 2 / 2 at 0.5B / 1.5B / 3B (1.5B beetle-1, butterfly-1; 3B trumpet-3, butterfly-1); in the ablated cells the set is whatever the run records, computed from the same recorded spans by the same selector. DENOMINATOR, PRE-REGISTERED: FAIL IN PLACE. The gate arm stays at its as-scored n \u2014 41 / 71 / 84, the knowable-now cross-check the power table freezes \u2014 and a residual-affected item scores as a FAILURE within that arm. The alternative reading (re-score the clean cell too, so the item un-gates and the arm shrinks) is named and REJECTED: it is the less conservative of the two at the bar \u2014 with the same numerator, wilson(43, 71) reads 0.489 and fails while wilson(43, 69) reads 0.505 and passes \u2014 and it would break the power table's pre-registered n. Fail-in-place keeps the read strictly one-way: it can only lower the floor, never rescue it. The bias the residual itself carries runs TOWARD the gate (an unobservably-terminated span scores a hit), which is why it is disclosed per subject and carried by this recomputation rather than by editing `oracle.py` \u2014 editing it would force re-runs of three milestones. (2) THE CONCEPT-LEVEL COLLAPSE (the effective-n sanity check). Items cluster three-per-concept on the probe side, so beside the item-level gate the same statistic is recomputed collapsed to one binary per CONCEPT \u2014 'every gated item of this concept survives all 12 deletions' \u2014 over the non-subset concepts with >= 1 gated item (n = 23 / 41 / 43, all >= MIN_N). If the item-level gate is clean and the concept-level collapse is not, the concept-level numbers are the honest ones to quote.",
+   "descriptive": "D20's descriptive package \u2014 never gate-bearing, Wilson CIs, all pre-registered in the brief. The CLUSTER-MEAN PER-CELL FLOOR on the new pool (M3's F15 readout, reference line 0.5 \u2014 the M3-comparable view; deliberately NOT promoted to gate-bearing, so D17's 'acceptable only because the qualifier is never dispositive' rationale for that binomial approximation stays intact). The ORDERING CONTRAST from rejected option (b) (pooled off-target minus the subset diagonal, Newcombe), reported as descriptive continuity with M3. Per-prime ROW PROFILES (does any of the 12 damage the wider vocabulary?) and per-probe COLUMN PROFILES over all 60 concepts \u2014 finding 1's mostly out-of-sample test: M3 found collateral concentrates on fragile PROBES (silver's column) rather than on damaging PRIMES, and the 48 new probe columns are a near-fresh sample (6 / 8 / 15 of their gate-bearing cells are M1-recorded, the other 486 / 844 / 993 are new). The WITHIN- vs CROSS-CATEGORY split of the new pool. The five named CROSS-MENTION cells (D21a). Mean concept mass per cell under D13's standing scope. Per-pair (prime, probe) cells are n <= 3 and are always descriptive, never verdict-bearing (D7's logic, unchanged). The pooled 852-cell view repeats each item 12 times and is therefore texture, never the gate (M3's F11 lesson applied in advance).",
+   "run_time_bars": "D22(a), pre-trial, on the subject's own tokenizer \u2014 D18's two bars widened from M3's 12 direction words to EVERY SCORED WORD (all 60) plus the 12 direction words, because the soundness premise attaches to every scored word and M4 scores 60. (1) THE SPAN BAR: every such word must tokenize to <= oracle.SPAN_TOKENS = 3 in BOTH its bare and its leading-space form, max(len(tok(w)), len(tok(' ' + w))) <= SPAN_TOKENS, else the run exits INVALID. This is D9(b)/D10's whole soundness premise \u2014 a prefix hit cannot be hidden by span truncation BECAUSE every roster word fits the span \u2014 checked where it can drift (a tokenizer revision, a future roster edit) instead of inherited as an assumption. (2) THE ASCII BAR: every such word must be pure ASCII, else INVALID \u2014 `oracle._BOUNDARY` is `(?![A-Za-z0-9])`, so a non-ASCII continuation character would read as a word boundary and a longer non-ASCII word could score as a hit. Verified in advance for all 60 words on all three tokenizers (2026-07-28); the run-time bar still runs, because D18's point was that the premise must hold AT THE MOMENT OF MEASUREMENT. NOTE WHAT THE SPAN BAR CANNOT CATCH: the D9(b) residual passes it at exactly <= 3 tokens, which IS the residual condition \u2014 the residual is carried by disclosure plus the residual-conservative read above, never by this bar. M4 adds NO vocabulary (every probe and every prime comes from M1's frozen 60, all pure-ASCII spellings), so D18's named future trigger \u2014 a stage freezing a NON-ASCII list, which owes the `oracle._BOUNDARY` boundary-class decision first \u2014 is NOT fired by this stage; it continues to name the banked scope stretch. `oracle.py` is UNTOUCHED by both bars: it is byte-shared with `m1_rescore.py`, `m2_depth.py` and `m3_matrix.py` and must stay identical.",
+   "degeneracy": "D20, carrying D14/D17's wide-oracle guard verbatim and re-scoping it to M4's arms. The dispositive guard is unchanged in mechanism: pool the first tokens of an arm's NON-PRODUCED cells only, share taken against the arm's full cell count ('at least half this arm's answers are the same WRONG opening'), threshold COLLAPSE_SHARE = 0.5; the raw all-answers guard is recorded beside as texture. SCOPE, ENUMERATED \u2014 and this enumeration IS the discharge of PR #9 F1's conjunction-degeneracy obligation, which requires every surviving-side comparison arm of a conjunction gate to be on the dispositive list: M4's gate is deliberately SINGLE-CLAUSE, so the dispositive list has exactly ONE surviving arm. Collapse in the pooled NON-SUBSET OFF-TARGET arm \u2014 the single arm the gate reads \u2014 => DEGENERATE, no VOCAB-SPARING claim. Collapse in the subset DIAGONAL => TAG only (the expected mute signature, exactly `primed_late`'s standing treatment). `clean` stays off the dispositive list (it is the gate arm \u2014 the D14 F3 correction, carried). Collapse inside any single prime's ROW, any probe concept's COLUMN, or any per-pair CELL is TEXTURE, attached to the readout it compromises. If a later amendment ever makes M4's gate a conjunction, every surviving arm goes on this list before the wording freezes.",
+   "recorded_crosscheck": "D19(a), environment-scoped (carrying D16's pattern, M2's D14 and M1's D5a/F7 verbatim), one generation deeper and against TWO artifact sets at once. Per subject the strip contains 255 cells recorded in M1's artifacts (`clean` 180, the 12 subset concepts' `primed_late` 36, and the 39 `control_late` cells whose control direction is a subset member) and 468 cells recorded in M3's artifacts (the 36 subset `clean` cells plus all 432 matrix cells \u2014 everything M3 ran except its 18 out-of-subset control-extras, whose directions are not strip primes). Both sets are graded FIRST and compared cell-for-cell on the RAW RECORDED FIELDS (`greedy` and `greedy_3` decoded strings) BEFORE any new cell is read; `concept_mass` equality is recorded as texture, never gating. The comparison is on raw strings, so it is oracle-independent \u2014 D9 cannot soften it. On the certified environment \u2014 device 'mps' under the pinned stack (torch 2.13.0, transformers 5.13.1) \u2014 any mismatch is INVALID (exit 2). Off that environment the check still runs and is recorded but is NOT gate-bearing, and the whole run is pre-declared NOT A RESULT, which m4_verdict.py refuses. Coverage is a property of the run rather than of the environment, so the bars that all 180 items and all 255 M1 cells, and all 36 subset items and all 468 M3 cells, were actually compared are UNSCOPED (M1 review F1's lesson). CONSEQUENCE WORTH STATING: because every `clean` cell is M1-recorded and gating is the deterministic clean arm under a frozen oracle, the realized gate-arm n is FIXED BEFORE THE RUN at 41 / 71 / 84 \u2014 a run that disagrees is an INVALID cross-check, not a power surprise.",
+   "precedence": "D20, frozen in `m4_verdict.strip_verdict()`: NOT A RESULT > DEGENERATE > UNDERPOWERED > the level bar (VOCAB-SPARING or the pre-committed null 'not shown', each carrying its realized proportion, and AS-SCORED ONLY appended only at this level \u2014 the three higher outcomes withhold the claim, leaving the qualifier nothing to scope). Wrong-arm inputs exit INVALID before any trial and, per PR #7 review F6's disposition carried from M3, before the checkpoint is even loaded; `--dry-run` validates and stops; `--limit` is smoke, never a result; M4 refuses M1 or M3 artifacts that were themselves not results. All M1/M2/M3 patterns carried verbatim.",
+   "honesty": "Owned, pre-committed. (1) Items within a concept share one lens direction on the prime side and one concept on the probe side, so item-level pooling overstates independence; the pre-registered concept-level collapse is the honest granular view beside it, and the per-prime, per-probe and per-pair maps are the granular descriptive views. (2) PRIME-SIDE CLUSTERING \u2014 every item faces the same 12 directions \u2014 is the unmeasured correlation structure the survives-all-12 statistic is conservative under: a single fragile cell fails an item. (3) MIN_N = 20 is applied to raw n, not to an effective n discounted for clustering. (4) The pooled 492 / 852 / 1,008-cell off-target view repeats each gated item 12 times, which would make a Newcombe interval on it NARROWER than the clustering justifies \u2014 anti-conservative and owned, which is why that pool is TEXTURE and the gate reads the per-item conjunction instead (M3's F11 lesson applied in advance). (5) THE PROBE-SIDE REACH IS THE D9(b)-VISIBLE ROSTER, not 'the vocabulary' (see the competence wording): a competence selection that plausibly biases the floor UPWARD. (6) THE FIVE CROSS-MENTION CELLS (D21a) are kept in the gate-bearing pool: a confounded miss can only LOWER the floor, so the bias runs against the gate \u2014 excluding them would be evidence-removal in the gate's favour, the anti-conservative move the lineage never makes. They are reported individually as a named confound row so a reader of the column profiles is not misled. (7) THE D9(b) RESIDUAL biases TOWARD the gate and is the one bias direction here that does; it is disclosed per subject and carried by the pre-registered residual-conservative read. (8) THE PRE-REGISTERED CEILINGS are facts about the arm, not evidence for the gate: 6 / 8 / 15 gate-arm cells are already recorded in M1 and their misses cap the arm at 35/41, 69/71 and 82/84 before a single new forward pass."
+  }
+ },
+ "dropped_single_token_prefilter": [],
+ "m1_crosscheck": {
+  "results": "results/m1-battery-qwen2.5-0.5b-instruct.json",
+  "gate_bearing": true,
+  "mismatches": [],
+  "n_mismatches": 0,
+  "items_checked": 180,
+  "items_expected": 180,
+  "cells_checked": 255,
+  "cells_expected": 255,
+  "mass_cells_equal": 255
+ },
+ "m3_crosscheck": {
+  "results": "results/m3-matrix-qwen2.5-0.5b-instruct.json",
+  "gate_bearing": true,
+  "mismatches": [],
+  "n_mismatches": 0,
+  "items_checked": 36,
+  "items_expected": 36,
+  "cells_checked": 468,
+  "cells_expected": 468,
+  "mass_cells_equal": 468
+ },
+ "smoke_limit": null,
+ "competence": {
+  "items_run": 180,
+  "gate_span": 69,
+  "gate_arm_n": 41,
+  "gate_arm_concepts": 23,
+  "zero_gated_non_subset_concepts": [
+   "Neptune",
+   "Saturn",
+   "Tuesday",
+   "Venus",
+   "amber",
+   "ant",
+   "bear",
+   "beetle",
+   "butterfly",
+   "copper",
+   "drum",
+   "duck",
+   "eagle",
+   "flute",
+   "guitar",
+   "horse",
+   "mosquito",
+   "moth",
+   "opal",
+   "pearl",
+   "pig",
+   "platinum",
+   "shark",
+   "spider",
+   "trumpet"
+  ],
+  "gate_first_token_texture": 38,
+  "gate_verbatim_p": 17
+ },
+ "clean_cell": {
+  "hits": 69,
+  "n": 69,
+  "rate": 1.0,
+  "wilson_95": [
+   0.9472609058559944,
+   1.0
+  ],
+  "underpowered": false
+ },
+ "new_pool_arms": {
+  "off_target": {
+   "hits": 387,
+   "n": 492,
+   "rate": 0.7865853658536586,
+   "wilson_95": [
+    0.7482330751445448,
+    0.8204969386340489
+   ],
+   "underpowered": false
+  },
+  "within_category": {
+   "hits": 5,
+   "n": 22,
+   "rate": 0.22727272727272727,
+   "wilson_95": [
+    0.1012289079482036,
+    0.4344035606295935
+   ],
+   "underpowered": false
+  },
+  "cross_category": {
+   "hits": 382,
+   "n": 470,
+   "rate": 0.8127659574468085,
+   "wilson_95": [
+    0.7750139825574212,
+    0.8454465257643471
+   ],
+   "underpowered": false
+  },
+  "subset_diagonal": {
+   "hits": 0,
+   "n": 28,
+   "rate": 0.0,
+   "wilson_95": [
+    0.0,
+    0.12064720365810762
+   ],
+   "underpowered": false
+  },
+  "subset_off_diagonal": {
+   "hits": 279,
+   "n": 308,
+   "rate": 0.9058441558441559,
+   "wilson_95": [
+    0.8680467180398679,
+    0.9336423446124531
+   ],
+   "underpowered": false
+  }
+ },
+ "vocabulary_sparing": {
+  "gate_arm": {
+   "k": 11,
+   "n": 41,
+   "rate": 0.2682926829268293,
+   "wilson_95": [
+    0.15694805281336685,
+    0.41933825276002934
+   ]
+  },
+  "bar": 0.5,
+  "clears_bar": false,
+  "underpowered": false,
+  "conservative_reads": [
+   {
+    "read": "residual-conservative",
+    "note": "every residual cell re-scored as a miss, denominator FAIL IN PLACE at the as-scored n (D20)",
+    "k": 11,
+    "n": 41,
+    "rate": 0.2682926829268293,
+    "wilson_95": [
+     0.15694805281336685,
+     0.41933825276002934
+    ]
+   },
+   {
+    "read": "concept-level",
+    "note": "one binary per non-subset concept with >= 1 gated item: every gated item of the concept survives all 12 (D20's effective-n check)",
+    "k": 4,
+    "n": 23,
+    "rate": 0.17391304347826086,
+    "wilson_95": [
+     0.06978540350612772,
+     0.37138054785295666
+    ]
+   }
+  ],
+  "cluster_mean_floor": {
+   "readout": "cluster-collapsed per-cell survival on the new pool (M3's F15 readout, reported for comparability \u2014 NEVER gating in M4)",
+   "sum_of_fractions": 32.25,
+   "mean_survival_fraction": 0.7865853658536586,
+   "k": 32,
+   "n": 41,
+   "wilson_95": [
+    0.6329469790176472,
+    0.8799695984461366
+   ],
+   "reference_line": 0.5,
+   "below_reference_line": false
+  },
+  "ordering_contrast": {
+   "label": "pooled non-subset off-target vs the subset diagonal (rejected option (b), descriptive continuity with M3 \u2014 never gating in M4)",
+   "diagonal": {
+    "hits": 0,
+    "n": 28,
+    "rate": 0.0,
+    "wilson_95": [
+     0.0,
+     0.12064720365810762
+    ],
+    "underpowered": false
+   },
+   "off_target": {
+    "hits": 387,
+    "n": 492,
+    "rate": 0.7865853658536586,
+    "wilson_95": [
+     0.7482330751445448,
+     0.8204969386340489
+    ],
+    "underpowered": false
+   },
+   "newcombe_offtarget_minus_diagonal_naming": [
+    0.7865853658536586,
+    0.6599889758847607,
+    0.8204969386340489
+   ],
+   "excludes_zero": true
+  },
+  "degenerate_gate_arms": [],
+  "subset_diagonal_collapsed_tag": false,
+  "row_texture_caveats": [],
+  "column_texture_caveats": [
+   "Monday",
+   "Thursday"
+  ],
+  "verdict": "not shown (11/41 survive all 12 = 0.268; Wilson 95% lower 0.157)"
+ },
+ "gate_arm_ceiling": {
+  "note": "cells already recorded in M1 (the item's frozen control direction is a prime) \u2014 their outcomes were fixed before the run, so their misses cap the arm. A fact about the arm, never evidence for the gate.",
+  "cells_recorded_in_m1": 6,
+  "misses": [
+   "july-1",
+   "april-1",
+   "april-3",
+   "gold-1",
+   "gold-2",
+   "gold-3"
+  ],
+  "ceiling": 35,
+  "n": 41
+ },
+ "strip": [
+  {
+   "prime": "Brazil",
+   "probe": "April",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Canada",
+   "in_subset_probe": true,
+   "same_category": true,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "China",
+   "in_subset_probe": true,
+   "same_category": true,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Egypt",
+   "in_subset_probe": true,
+   "same_category": true,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "February",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "France",
+   "in_subset_probe": true,
+   "same_category": true,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Friday",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 2,
+    "rate": 0.5,
+    "wilson_95": [
+     0.09452865480086614,
+     0.9054713451991339
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "January",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Japan",
+   "in_subset_probe": true,
+   "same_category": true,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "July",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Jupiter",
+   "in_subset_probe": true,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Mars",
+   "in_subset_probe": true,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 2,
+    "rate": 0.5,
+    "wilson_95": [
+     0.09452865480086614,
+     0.9054713451991339
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Mercury",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Monday",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 1,
+    "rate": 0.0,
+    "wilson_95": [
+     0.0,
+     0.7934567085261071
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Neptune",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "October",
+   "in_subset_probe": true,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Saturday",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Saturn",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "September",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Sunday",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Thursday",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 1,
+    "rate": 0.0,
+    "wilson_95": [
+     0.0,
+     0.7934567085261071
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Tuesday",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Venus",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "amber",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "ant",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "bear",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "bee",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "beetle",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "bronze",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 3,
+    "rate": 0.6666666666666666,
+    "wilson_95": [
+     0.20765495512648796,
+     0.9385096847238394
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "butterfly",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "chicken",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "copper",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "cow",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "diamond",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "drum",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "duck",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "eagle",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "flute",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "gold",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "guitar",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "horse",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "iron",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "jade",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 1,
+    "rate": 0.0,
+    "wilson_95": [
+     0.0,
+     0.7934567085261071
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "lion",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "mosquito",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "moth",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "opal",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "pearl",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "piano",
+   "in_subset_probe": true,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "pig",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "platinum",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "ruby",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "shark",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "sheep",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "silver",
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+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.6595553755760193,
+     "says_concept_in_3": true
+    },
+    "ablate_piano": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.548085629940033,
+     "says_concept_in_3": true
+    },
+    "ablate_violin": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.6287886500358582,
+     "says_concept_in_3": true
+    },
+    "ablate_October": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.4754221439361572,
+     "says_concept_in_3": true
+    },
+    "ablate_silver": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.583903968334198,
+     "says_concept_in_3": true
+    }
+   },
+   "gate_span": true,
+   "gate_first_token": true,
+   "gate_verbatim_p": false
+  },
+  {
+   "name": "sunday-2",
+   "category": "days of the week",
+   "concept": "Sunday",
+   "control": "Monday",
+   "source": "m1-new",
+   "in_subset": false,
+   "direction_key": "bare",
+   "mass_channel_eligible": true,
+   "cells": {
+    "clean": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.34865760803222656,
+     "says_concept_in_3": true
+    },
+    "ablate_Brazil": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.34099337458610535,
+     "says_concept_in_3": true
+    },
+    "ablate_Canada": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.3379863500595093,
+     "says_concept_in_3": true
+    },
+    "ablate_China": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.3229113817214966,
+     "says_concept_in_3": true
+    },
+    "ablate_Egypt": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.3381681442260742,
+     "says_concept_in_3": true
+    },
+    "ablate_France": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.3560563027858734,
+     "says_concept_in_3": true
+    },
+    "ablate_Japan": {
+     "produced": false,
+     "greedy_3": "Friday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Friday",
+     "concept_mass": 0.10747934132814407,
+     "says_concept_in_3": false
+    },
+    "ablate_Jupiter": {
+     "produced": false,
+     "greedy_3": "Friday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Friday",
+     "concept_mass": 0.18780291080474854,
+     "says_concept_in_3": false
+    },
+    "ablate_Mars": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.5604596734046936,
+     "says_concept_in_3": true
+    },
+    "ablate_piano": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.28416648507118225,
+     "says_concept_in_3": true
+    },
+    "ablate_violin": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.40587085485458374,
+     "says_concept_in_3": true
+    },
+    "ablate_October": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.3511098325252533,
+     "says_concept_in_3": true
+    },
+    "ablate_silver": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.3182525336742401,
+     "says_concept_in_3": true
+    }
+   },
+   "gate_span": true,
+   "gate_first_token": true,
+   "gate_verbatim_p": false
+  },
+  {
+   "name": "sunday-3",
+   "category": "days of the week",
+   "concept": "Sunday",
+   "control": "Monday",
+   "source": "m1-new",
+   "in_subset": false,
+   "direction_key": "bare",
+   "mass_channel_eligible": true,
+   "cells": {
+    "clean": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.3509812653064728,
+     "says_concept_in_3": true
+    },
+    "ablate_Brazil": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.3564152121543884,
+     "says_concept_in_3": true
+    },
+    "ablate_Canada": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.36527395248413086,
+     "says_concept_in_3": true
+    },
+    "ablate_China": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.3179209530353546,
+     "says_concept_in_3": true
+    },
+    "ablate_Egypt": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.28555235266685486,
+     "says_concept_in_3": false
+    },
+    "ablate_France": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.3536139130592346,
+     "says_concept_in_3": true
+    },
+    "ablate_Japan": {
+     "produced": false,
+     "greedy_3": "Friday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Friday",
+     "concept_mass": 0.1251317858695984,
+     "says_concept_in_3": false
+    },
+    "ablate_Jupiter": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.13132594525814056,
+     "says_concept_in_3": false
+    },
+    "ablate_Mars": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.5386883020401001,
+     "says_concept_in_3": true
+    },
+    "ablate_piano": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.2744911015033722,
+     "says_concept_in_3": false
+    },
+    "ablate_violin": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.3261091113090515,
+     "says_concept_in_3": false
+    },
+    "ablate_October": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.42372390627861023,
+     "says_concept_in_3": true
+    },
+    "ablate_silver": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.3105762004852295,
+     "says_concept_in_3": false
+    }
+   },
+   "gate_span": true,
+   "gate_first_token": true,
+   "gate_verbatim_p": false
+  }
+ ]
+}
\ No newline at end of file
diff --git a/results/m4-strip-qwen2.5-1.5b-instruct.json b/results/m4-strip-qwen2.5-1.5b-instruct.json
new file mode 100644
index 0000000..d3d1876
--- /dev/null
+++ b/results/m4-strip-qwen2.5-1.5b-instruct.json
@@ -0,0 +1,39884 @@
+{
+ "milestone": "M4",
+ "model_id": "Qwen/Qwen2.5-1.5B-Instruct",
+ "lens": "lenses/qwen2.5-1.5b-instruct-n100.pt",
+ "lens_n_prompts": 100,
+ "band": [
+  11,
+  12,
+  13,
+  14,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  21,
+  22,
+  23,
+  24
+ ],
+ "thirds": {
+  "early": [
+   11,
+   12,
+   13,
+   14
+  ],
+  "middle": [
+   15,
+   16,
+   17,
+   18
+  ],
+  "late": [
+   19,
+   20,
+   21,
+   22,
+   23,
+   24
+  ]
+ },
+ "ablated_layers": [
+  19,
+  20,
+  21,
+  22,
+  23,
+  24
+ ],
+ "lambda": 1.0,
+ "mode": "gate (survives-all-12 on the gated non-subset items) + descriptive (the strip)",
+ "environment": {
+  "device": "mps",
+  "torch": "2.13.0",
+  "transformers": "5.13.1",
+  "certified": true,
+  "uncertified_reasons": []
+ },
+ "protocol": {
+  "instructions": {
+   "naming": "Consider this sentence: \"{clue}\"\n\nWhich {noun} is the sentence describing? Answer with just the name."
+  },
+  "primes": [
+   "Brazil",
+   "Canada",
+   "China",
+   "Egypt",
+   "France",
+   "Japan",
+   "Jupiter",
+   "Mars",
+   "piano",
+   "violin",
+   "October",
+   "silver"
+  ],
+  "subset_strata": {
+   "S1_hard_switch_core": [
+    "Brazil",
+    "Canada",
+    "China",
+    "France",
+    "Japan"
+   ],
+   "S2_readout_unlocked": [
+    "Jupiter",
+    "Mars",
+    "piano",
+    "violin"
+   ],
+   "S3_leaky_switch": [
+    "Egypt",
+    "October"
+   ],
+   "S4_non_specific_anti_example": [
+    "silver"
+   ]
+  },
+  "concept_categories": {
+   "France": "countries",
+   "China": "countries",
+   "Egypt": "countries",
+   "Canada": "countries",
+   "February": "months",
+   "July": "months",
+   "October": "months",
+   "April": "months",
+   "lion": "animals",
+   "eagle": "animals",
+   "shark": "animals",
+   "spider": "animals",
+   "Mars": "planets",
+   "Saturn": "planets",
+   "piano": "musical instruments",
+   "guitar": "musical instruments",
+   "diamond": "gemstones",
+   "gold": "precious metals",
+   "cow": "farm animals",
+   "bee": "insects",
+   "Japan": "countries",
+   "Brazil": "countries",
+   "January": "months",
+   "September": "months",
+   "tiger": "animals",
+   "bear": "animals",
+   "Venus": "planets",
+   "Jupiter": "planets",
+   "Mercury": "planets",
+   "Neptune": "planets",
+   "violin": "musical instruments",
+   "drum": "musical instruments",
+   "trumpet": "musical instruments",
+   "flute": "musical instruments",
+   "silver": "precious metals",
+   "platinum": "precious metals",
+   "copper": "precious metals",
+   "bronze": "precious metals",
+   "iron": "precious metals",
+   "ruby": "gemstones",
+   "pearl": "gemstones",
+   "jade": "gemstones",
+   "opal": "gemstones",
+   "amber": "gemstones",
+   "pig": "farm animals",
+   "horse": "farm animals",
+   "sheep": "farm animals",
+   "chicken": "farm animals",
+   "duck": "farm animals",
+   "ant": "insects",
+   "beetle": "insects",
+   "butterfly": "insects",
+   "moth": "insects",
+   "mosquito": "insects",
+   "Monday": "days of the week",
+   "Tuesday": "days of the week",
+   "Thursday": "days of the week",
+   "Friday": "days of the week",
+   "Saturday": "days of the week",
+   "Sunday": "days of the week"
+  },
+  "conditions": [
+   {
+    "name": "clean",
+    "group": "clean",
+    "direction": null,
+    "layers": [],
+    "lam": 0.0
+   },
+   {
+    "name": "ablate_Brazil",
+    "group": "prime",
+    "direction": "Brazil",
+    "layers": [
+     19,
+     20,
+     21,
+     22,
+     23,
+     24
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Canada",
+    "group": "prime",
+    "direction": "Canada",
+    "layers": [
+     19,
+     20,
+     21,
+     22,
+     23,
+     24
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_China",
+    "group": "prime",
+    "direction": "China",
+    "layers": [
+     19,
+     20,
+     21,
+     22,
+     23,
+     24
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Egypt",
+    "group": "prime",
+    "direction": "Egypt",
+    "layers": [
+     19,
+     20,
+     21,
+     22,
+     23,
+     24
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_France",
+    "group": "prime",
+    "direction": "France",
+    "layers": [
+     19,
+     20,
+     21,
+     22,
+     23,
+     24
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Japan",
+    "group": "prime",
+    "direction": "Japan",
+    "layers": [
+     19,
+     20,
+     21,
+     22,
+     23,
+     24
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Jupiter",
+    "group": "prime",
+    "direction": "Jupiter",
+    "layers": [
+     19,
+     20,
+     21,
+     22,
+     23,
+     24
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Mars",
+    "group": "prime",
+    "direction": "Mars",
+    "layers": [
+     19,
+     20,
+     21,
+     22,
+     23,
+     24
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_piano",
+    "group": "prime",
+    "direction": "piano",
+    "layers": [
+     19,
+     20,
+     21,
+     22,
+     23,
+     24
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_violin",
+    "group": "prime",
+    "direction": "violin",
+    "layers": [
+     19,
+     20,
+     21,
+     22,
+     23,
+     24
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_October",
+    "group": "prime",
+    "direction": "October",
+    "layers": [
+     19,
+     20,
+     21,
+     22,
+     23,
+     24
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_silver",
+    "group": "prime",
+    "direction": "silver",
+    "layers": [
+     19,
+     20,
+     21,
+     22,
+     23,
+     24
+    ],
+    "lam": 1.0
+   }
+  ],
+  "cells_planned": 2340,
+  "recorded_surfaces": {
+   "m1_cells": 255,
+   "m1_items": 180,
+   "m3_cells": 468,
+   "m3_items": 36
+  },
+  "cross_mention_pairs": [
+   [
+    "October",
+    "september-2"
+   ],
+   [
+    "silver",
+    "flute-1"
+   ],
+   [
+    "China",
+    "jade-1"
+   ],
+   [
+    "October",
+    "opal-2"
+   ],
+   [
+    "Egypt",
+    "beetle-2"
+   ]
+  ],
+  "gate": "greedy-span naming-only under D9(b); first-token recorded beside",
+  "readback_tol": 0.0001,
+  "min_n": 20,
+  "collapse_share": 0.5,
+  "p_name_floor": 0.85,
+  "span_tokens": 3,
+  "survival_lower_bound": 0.5,
+  "cluster_floor_reference": 0.5,
+  "run_time_bars": {
+   "span_tokens": 3,
+   "words_checked": 60,
+   "form_lengths": {
+    "April": [
+     1,
+     1
+    ],
+    "Brazil": [
+     1,
+     1
+    ],
+    "Canada": [
+     1,
+     1
+    ],
+    "China": [
+     1,
+     1
+    ],
+    "Egypt": [
+     1,
+     1
+    ],
+    "February": [
+     1,
+     1
+    ],
+    "France": [
+     1,
+     1
+    ],
+    "Friday": [
+     1,
+     1
+    ],
+    "January": [
+     1,
+     1
+    ],
+    "Japan": [
+     1,
+     1
+    ],
+    "July": [
+     1,
+     1
+    ],
+    "Jupiter": [
+     2,
+     1
+    ],
+    "Mars": [
+     2,
+     1
+    ],
+    "Mercury": [
+     2,
+     1
+    ],
+    "Monday": [
+     1,
+     1
+    ],
+    "Neptune": [
+     2,
+     1
+    ],
+    "October": [
+     1,
+     1
+    ],
+    "Saturday": [
+     1,
+     1
+    ],
+    "Saturn": [
+     2,
+     1
+    ],
+    "September": [
+     1,
+     1
+    ],
+    "Sunday": [
+     1,
+     1
+    ],
+    "Thursday": [
+     1,
+     1
+    ],
+    "Tuesday": [
+     1,
+     1
+    ],
+    "Venus": [
+     2,
+     1
+    ],
+    "amber": [
+     1,
+     1
+    ],
+    "ant": [
+     1,
+     1
+    ],
+    "bear": [
+     1,
+     1
+    ],
+    "bee": [
+     1,
+     1
+    ],
+    "beetle": [
+     3,
+     1
+    ],
+    "bronze": [
+     2,
+     1
+    ],
+    "butterfly": [
+     3,
+     1
+    ],
+    "chicken": [
+     2,
+     1
+    ],
+    "copper": [
+     2,
+     1
+    ],
+    "cow": [
+     1,
+     1
+    ],
+    "diamond": [
+     1,
+     1
+    ],
+    "drum": [
+     2,
+     1
+    ],
+    "duck": [
+     1,
+     1
+    ],
+    "eagle": [
+     2,
+     1
+    ],
+    "flute": [
+     2,
+     1
+    ],
+    "gold": [
+     1,
+     1
+    ],
+    "guitar": [
+     2,
+     1
+    ],
+    "horse": [
+     1,
+     1
+    ],
+    "iron": [
+     1,
+     1
+    ],
+    "jade": [
+     2,
+     1
+    ],
+    "lion": [
+     1,
+     1
+    ],
+    "mosquito": [
+     2,
+     1
+    ],
+    "moth": [
+     1,
+     1
+    ],
+    "opal": [
+     1,
+     2
+    ],
+    "pearl": [
+     2,
+     1
+    ],
+    "piano": [
+     2,
+     1
+    ],
+    "pig": [
+     1,
+     1
+    ],
+    "platinum": [
+     2,
+     1
+    ],
+    "ruby": [
+     1,
+     1
+    ],
+    "shark": [
+     2,
+     1
+    ],
+    "sheep": [
+     2,
+     1
+    ],
+    "silver": [
+     1,
+     1
+    ],
+    "spider": [
+     2,
+     1
+    ],
+    "tiger": [
+     2,
+     1
+    ],
+    "trumpet": [
+     3,
+     1
+    ],
+    "violin": [
+     2,
+     1
+    ]
+   },
+   "worst_form_length": 3,
+   "all_ascii": true
+  },
+  "items": "items/m1-battery.json",
+  "gate_wording": {
+   "oracle": "D9(b), frozen 2026-07-28 before any M2 run. PRIMARY READOUT: the concept is produced iff the decoded first-3-greedy span, after stripping leading whitespace, opens with the concept's spelling at a word boundary, case-insensitive \u2014 a prefix rule, never containment ('not France' is a miss), with the word boundary defined as 'the next character is not a letter or digit' ('Marseille' is not Mars) and the END OF THE SPAN counting as a boundary (review F5: a word that exactly fills the recorded span, 'Butterfly', is a hit \u2014 truncation must never turn a completed word into a miss). Case-insensitive because orthography is not semantics: 'Piano' is the word piano, and the widening is measured to do real work (1.5B prefix gate 72 case-exact -> 105 case-insensitive). This is a fixed string rule on a deterministic greedy span, frozen as code with unit tests \u2014 never free-text parsing and never an LLM judge. S4's 'The ...' miss-counting caveat is UNCHANGED in kind and still owned: 'The France' remains a miss. The first-token outcome is computed and recorded beside every cell, so every cross-check against M0/M1 artifacts compares raw recorded fields and is oracle-independent. OWNED RESIDUAL (review F12): for the three concepts whose bare form fills the 3-token span (beetle, butterfly, trumpet) the closing boundary is unobservable, so a longer word sharing those tokens would score as a hit ('Beetlejuice' truncates to exactly 'Beetle'). Six recorded M1 cells fill the span this way; each is a completed word on inspection and is the item's own intended answer, but the truncated recording cannot rule out a longer continuation, so the residual is owned rather than excluded. None of the three concepts is in M2's subset.",
+   "competence": "D9(b) + D6(a) item-level greedy-span naming-only gate, carried verbatim from M2/M3: an item enters the gated set iff its CLEAN naming span satisfies the D9(b) oracle above. Gating is a property of the clean arm alone, decided once per item and DIRECTION-INDEPENDENT, so every one of this run's 12 prime columns shares ONE gated set \u2014 which is what makes the rows, the columns and the pooled arms comparable. Gating is per-subject. M1's first-token gate is computed and recorded beside it as texture, never gating here. The paper-style verbatim-P rate (clean concept mass >= 0.85) is reported alongside as texture, never gating; note it is floor-pinned by construction for concepts whose emitted bare spelling has no single-token form (the mass-channel scope, D13). OWNED, AND THE REASON THE CLAIM SAYS WHAT IT SAYS: 25 / 7 / 5 of the 48 non-subset concepts gate ZERO items at 0.5B / 1.5B / 3B, because the model answers something else, answers correctly behind a modifier the opening-word rule refuses, or misses on morphology \u2014 a COMPETENCE SELECTION, not tokenizer geometry (under D9(b) the gate is a prefix on the 3-token span, so it is insensitive to token count up to 3). Confidently-named concepts are plausibly the robust ones, so the selection biases the measured sparing floor UPWARD (F12's selection-enrichment mechanism, now on the probe side). The claim is sparing across the MEASURABLE vocabulary, said exactly that way.",
+   "sparing": "D20(a), pre-committed before any M4 run, with both post-freeze amendments ratified by Kyle 2026-07-29. VOCAB-SPARING iff, per subject: among the gated NON-SUBSET items (concepts outside the 12-concept matrix roster), the proportion that SURVIVES ALL 12 subset-direction deletions \u2014 D9(b) naming success in every one of the item's 12 off-target cells \u2014 has its Wilson 95% lower bound at or above 0.5. This 0.5 is a bar on the 12-FOLD CONJUNCTION, not on per-cell survival, and is NOT M3's per-cell floor: under independence it corresponds to a per-cell survival of 0.5^(1/12) ~ 0.944, and its stringency depends on the deletion count (12) as much as on the sparing rate. The bar is read ONLY when the 468 M3-recorded and 255 M1-recorded cells in the strip reproduce their recorded outcomes bit-for-bit; any mismatch is INVALID and there is no verdict. The M4 verdict is the AND over 1.5B and 3B; 0.5B runs and is reported under its standing any-direction-damage frame, never gate-bearing. Gate-arm n < MIN_N = 20 => pre-declared UNDERPOWERED and no claim (realized n = 41 / 71 / 84 from the recorded gated sets). VERDICT STRING, PRE-COMMITTED: the label alone over-reads \u2014 clearing a floor bar is compatible with a large minority of measurable items damaged \u2014 so the verdict, whichever way it goes, carries its REALIZED SURVIVAL PROPORTION in the same string: VOCAB-SPARING when the bar is cleared and the lineage's pre-committed null 'not shown' when it is not \u2014 never an assertive negative, because failing a Wilson LOWER bound does not establish the contrary (m1_battery.py, m2_depth.py, m3_matrix.py all emit 'not shown'). The gate verdict is the AND over the two gate-bearing subjects; 0.5B's readout is reported in the same shape under its standing any-direction-damage frame and is NOT a gate verdict, so a low 0.5B reading is never a 'not shown' gate claim. CONSERVATIVE-READ QUALIFIER, PRE-DECLARED: two pre-registered reads can fall below the bar when the as-scored read clears it \u2014 the residual-conservative fail-in-place read and the concept-level collapse \u2014 and the brief pre-commits that where they diverge, THEIR numbers are the honest ones. So a CLAIM-LEVEL verdict additionally carries the qualifier AS-SCORED ONLY, naming each such read and its number, whenever any pre-registered conservative read's Wilson 95% lower bound is below 0.5 while the as-scored read's is not. The qualifier SCOPES A CLAIM AND CAN NEVER CREATE OR RESCUE ONE (D17's rule, carried), so it attaches to a bar-level verdict only and never to NOT A RESULT, DEGENERATE or UNDERPOWERED \u2014 precedence has already withheld the claim there, leaving it nothing to scope. THE TWO TEMPLATES, STATED ONCE AND IMPLEMENTED VERBATIM \u2014 base: '<label> (k/n survive all 12 = <rate>; Wilson 95% lower <lo>)'; qualifier, appended to the base string when it fires: ' \u2014 AS-SCORED ONLY (<read> k/n = <rate>, lower <lo>[; <read> ...])', with the reads listed in the fixed order residual-conservative, concept-level when both fire. Worked: 'VOCAB-SPARING (44/71 survive all 12 = 0.620; Wilson 95% lower 0.503) \u2014 AS-SCORED ONLY (residual-conservative 42/71 = 0.592, lower 0.475)'. THE 0.5 CONSTANT IS NEW, AND OWNED AS NEW \u2014 not carried from M3, whose 0.5 was a floor on cluster-collapsed PER-CELL survival while M4's is a bar on a 12-FOLD CONJUNCTION. Two consequences, stated rather than inherited. (i) STATUS CHANGED: M3's constant was itself uncalibrated and D17 tolerated that only because the qualifier it scoped could never create or rescue a claim; M4 makes a constant of the same value the SINGLE DISPOSITIVE GATE, so D17's tolerance does not transfer. (ii) THE DELETION COUNT IS HALF THE BAR: at a per-cell rate of 0.971 (M3's recorded 1.5B off-diagonal) the conjunction reads ~0.70 and clears the bar; at 0.94 it reads ~0.48 and fails. M4's 0.5 is therefore a new, deliberately lenient, uncalibrated constant \u2014 pre-registered before any new cell was run and fitted to none \u2014 and its per-cell equivalence is written into this wording so no write-up can quote it as M3's floor. It is a floor bar, not an effect-size claim; the descriptive numbers carry the actual size. WHY THE RE-CERTIFICATION CLAUSE IS INSIDE THE WORDING: every prior stage's gate compared an intervened arm against another MEASURED arm, so a dead intervention could never pass one. M4's bar is single-clause and reads only the off-target survival rate \u2014 so read in isolation, an ablation that did nothing at all would score ~100% survival and print VOCAB-SPARING. The strip's re-run of M3's 432 matrix cells and M1's 36 primed_late cells catches exactly that, and any mismatch exits INVALID; putting it in the frozen wording means the sentence cannot be quoted out of its own precondition. TRADE-OFF, OWNED: survives-all-12 is the strictest sparing statistic; a single fragile cell fails an item, and the correlation structure across the 12 deletions (unmeasured until this run) decides how harsh that is. That bias direction runs AGAINST the claim, the one direction this project accepts. Every strip cell ablates the subject's identical late-third layer set at lambda = 1, k = 1, so the compared arms differ ONLY IN WHICH DIRECTION IS REMOVED and which item is asked \u2014 never in depth, layer count, or dose (PR #7 review F2's tier-width caveat, retired structurally and stated here so it stays owned; if a later stage re-introduces tiers, the caveat clause must come back with them).",
+   "conservative_reads": "D20, both pre-registered here and NEVER dispositive; each is reported beside the gate and each can fire the AS-SCORED ONLY qualifier. (1) THE RESIDUAL-CONSERVATIVE READ. D9(b)'s owned span-truncation residual re-enters a gate-bearing arm for the first time since M1: `oracle.py`'s frozen wording closes with 'None of the three concepts is in M2's subset', and M4's wider probe side retires exactly that scope sentence. The same gate statistic is recomputed with every RESIDUAL CELL re-scored as a MISS \u2014 the maximally conservative reading of the boundary D9(b) cannot observe. A RESIDUAL CELL is one whose recorded span, after stripping leading whitespace, EQUALS THE SCORED CONCEPT'S SPELLING WITH NOTHING FOLLOWING IT \u2014 compared CASE-INSENSITIVELY, exactly as `oracle.says_concept_prefix` compares (re.IGNORECASE) \u2014 so that no boundary character is observed. The case rule is stated because it DECIDES THE SET, not as a detail: the recorded spans are 'Beetle', 'Butterfly', 'Trumpet' while the roster spellings are lowercase, so a case-EXACT comparison would select ZERO cells and silently turn this mitigation into a no-op. That is the selector: it is NOT 'the span fills the 3-token window', which every recorded cell does by construction. In the recorded clean arm the gate-arm residual cells are 0 / 2 / 2 at 0.5B / 1.5B / 3B (1.5B beetle-1, butterfly-1; 3B trumpet-3, butterfly-1); in the ablated cells the set is whatever the run records, computed from the same recorded spans by the same selector. DENOMINATOR, PRE-REGISTERED: FAIL IN PLACE. The gate arm stays at its as-scored n \u2014 41 / 71 / 84, the knowable-now cross-check the power table freezes \u2014 and a residual-affected item scores as a FAILURE within that arm. The alternative reading (re-score the clean cell too, so the item un-gates and the arm shrinks) is named and REJECTED: it is the less conservative of the two at the bar \u2014 with the same numerator, wilson(43, 71) reads 0.489 and fails while wilson(43, 69) reads 0.505 and passes \u2014 and it would break the power table's pre-registered n. Fail-in-place keeps the read strictly one-way: it can only lower the floor, never rescue it. The bias the residual itself carries runs TOWARD the gate (an unobservably-terminated span scores a hit), which is why it is disclosed per subject and carried by this recomputation rather than by editing `oracle.py` \u2014 editing it would force re-runs of three milestones. (2) THE CONCEPT-LEVEL COLLAPSE (the effective-n sanity check). Items cluster three-per-concept on the probe side, so beside the item-level gate the same statistic is recomputed collapsed to one binary per CONCEPT \u2014 'every gated item of this concept survives all 12 deletions' \u2014 over the non-subset concepts with >= 1 gated item (n = 23 / 41 / 43, all >= MIN_N). If the item-level gate is clean and the concept-level collapse is not, the concept-level numbers are the honest ones to quote.",
+   "descriptive": "D20's descriptive package \u2014 never gate-bearing, Wilson CIs, all pre-registered in the brief. The CLUSTER-MEAN PER-CELL FLOOR on the new pool (M3's F15 readout, reference line 0.5 \u2014 the M3-comparable view; deliberately NOT promoted to gate-bearing, so D17's 'acceptable only because the qualifier is never dispositive' rationale for that binomial approximation stays intact). The ORDERING CONTRAST from rejected option (b) (pooled off-target minus the subset diagonal, Newcombe), reported as descriptive continuity with M3. Per-prime ROW PROFILES (does any of the 12 damage the wider vocabulary?) and per-probe COLUMN PROFILES over all 60 concepts \u2014 finding 1's mostly out-of-sample test: M3 found collateral concentrates on fragile PROBES (silver's column) rather than on damaging PRIMES, and the 48 new probe columns are a near-fresh sample (6 / 8 / 15 of their gate-bearing cells are M1-recorded, the other 486 / 844 / 993 are new). The WITHIN- vs CROSS-CATEGORY split of the new pool. The five named CROSS-MENTION cells (D21a). Mean concept mass per cell under D13's standing scope. Per-pair (prime, probe) cells are n <= 3 and are always descriptive, never verdict-bearing (D7's logic, unchanged). The pooled 852-cell view repeats each item 12 times and is therefore texture, never the gate (M3's F11 lesson applied in advance).",
+   "run_time_bars": "D22(a), pre-trial, on the subject's own tokenizer \u2014 D18's two bars widened from M3's 12 direction words to EVERY SCORED WORD (all 60) plus the 12 direction words, because the soundness premise attaches to every scored word and M4 scores 60. (1) THE SPAN BAR: every such word must tokenize to <= oracle.SPAN_TOKENS = 3 in BOTH its bare and its leading-space form, max(len(tok(w)), len(tok(' ' + w))) <= SPAN_TOKENS, else the run exits INVALID. This is D9(b)/D10's whole soundness premise \u2014 a prefix hit cannot be hidden by span truncation BECAUSE every roster word fits the span \u2014 checked where it can drift (a tokenizer revision, a future roster edit) instead of inherited as an assumption. (2) THE ASCII BAR: every such word must be pure ASCII, else INVALID \u2014 `oracle._BOUNDARY` is `(?![A-Za-z0-9])`, so a non-ASCII continuation character would read as a word boundary and a longer non-ASCII word could score as a hit. Verified in advance for all 60 words on all three tokenizers (2026-07-28); the run-time bar still runs, because D18's point was that the premise must hold AT THE MOMENT OF MEASUREMENT. NOTE WHAT THE SPAN BAR CANNOT CATCH: the D9(b) residual passes it at exactly <= 3 tokens, which IS the residual condition \u2014 the residual is carried by disclosure plus the residual-conservative read above, never by this bar. M4 adds NO vocabulary (every probe and every prime comes from M1's frozen 60, all pure-ASCII spellings), so D18's named future trigger \u2014 a stage freezing a NON-ASCII list, which owes the `oracle._BOUNDARY` boundary-class decision first \u2014 is NOT fired by this stage; it continues to name the banked scope stretch. `oracle.py` is UNTOUCHED by both bars: it is byte-shared with `m1_rescore.py`, `m2_depth.py` and `m3_matrix.py` and must stay identical.",
+   "degeneracy": "D20, carrying D14/D17's wide-oracle guard verbatim and re-scoping it to M4's arms. The dispositive guard is unchanged in mechanism: pool the first tokens of an arm's NON-PRODUCED cells only, share taken against the arm's full cell count ('at least half this arm's answers are the same WRONG opening'), threshold COLLAPSE_SHARE = 0.5; the raw all-answers guard is recorded beside as texture. SCOPE, ENUMERATED \u2014 and this enumeration IS the discharge of PR #9 F1's conjunction-degeneracy obligation, which requires every surviving-side comparison arm of a conjunction gate to be on the dispositive list: M4's gate is deliberately SINGLE-CLAUSE, so the dispositive list has exactly ONE surviving arm. Collapse in the pooled NON-SUBSET OFF-TARGET arm \u2014 the single arm the gate reads \u2014 => DEGENERATE, no VOCAB-SPARING claim. Collapse in the subset DIAGONAL => TAG only (the expected mute signature, exactly `primed_late`'s standing treatment). `clean` stays off the dispositive list (it is the gate arm \u2014 the D14 F3 correction, carried). Collapse inside any single prime's ROW, any probe concept's COLUMN, or any per-pair CELL is TEXTURE, attached to the readout it compromises. If a later amendment ever makes M4's gate a conjunction, every surviving arm goes on this list before the wording freezes.",
+   "recorded_crosscheck": "D19(a), environment-scoped (carrying D16's pattern, M2's D14 and M1's D5a/F7 verbatim), one generation deeper and against TWO artifact sets at once. Per subject the strip contains 255 cells recorded in M1's artifacts (`clean` 180, the 12 subset concepts' `primed_late` 36, and the 39 `control_late` cells whose control direction is a subset member) and 468 cells recorded in M3's artifacts (the 36 subset `clean` cells plus all 432 matrix cells \u2014 everything M3 ran except its 18 out-of-subset control-extras, whose directions are not strip primes). Both sets are graded FIRST and compared cell-for-cell on the RAW RECORDED FIELDS (`greedy` and `greedy_3` decoded strings) BEFORE any new cell is read; `concept_mass` equality is recorded as texture, never gating. The comparison is on raw strings, so it is oracle-independent \u2014 D9 cannot soften it. On the certified environment \u2014 device 'mps' under the pinned stack (torch 2.13.0, transformers 5.13.1) \u2014 any mismatch is INVALID (exit 2). Off that environment the check still runs and is recorded but is NOT gate-bearing, and the whole run is pre-declared NOT A RESULT, which m4_verdict.py refuses. Coverage is a property of the run rather than of the environment, so the bars that all 180 items and all 255 M1 cells, and all 36 subset items and all 468 M3 cells, were actually compared are UNSCOPED (M1 review F1's lesson). CONSEQUENCE WORTH STATING: because every `clean` cell is M1-recorded and gating is the deterministic clean arm under a frozen oracle, the realized gate-arm n is FIXED BEFORE THE RUN at 41 / 71 / 84 \u2014 a run that disagrees is an INVALID cross-check, not a power surprise.",
+   "precedence": "D20, frozen in `m4_verdict.strip_verdict()`: NOT A RESULT > DEGENERATE > UNDERPOWERED > the level bar (VOCAB-SPARING or the pre-committed null 'not shown', each carrying its realized proportion, and AS-SCORED ONLY appended only at this level \u2014 the three higher outcomes withhold the claim, leaving the qualifier nothing to scope). Wrong-arm inputs exit INVALID before any trial and, per PR #7 review F6's disposition carried from M3, before the checkpoint is even loaded; `--dry-run` validates and stops; `--limit` is smoke, never a result; M4 refuses M1 or M3 artifacts that were themselves not results. All M1/M2/M3 patterns carried verbatim.",
+   "honesty": "Owned, pre-committed. (1) Items within a concept share one lens direction on the prime side and one concept on the probe side, so item-level pooling overstates independence; the pre-registered concept-level collapse is the honest granular view beside it, and the per-prime, per-probe and per-pair maps are the granular descriptive views. (2) PRIME-SIDE CLUSTERING \u2014 every item faces the same 12 directions \u2014 is the unmeasured correlation structure the survives-all-12 statistic is conservative under: a single fragile cell fails an item. (3) MIN_N = 20 is applied to raw n, not to an effective n discounted for clustering. (4) The pooled 492 / 852 / 1,008-cell off-target view repeats each gated item 12 times, which would make a Newcombe interval on it NARROWER than the clustering justifies \u2014 anti-conservative and owned, which is why that pool is TEXTURE and the gate reads the per-item conjunction instead (M3's F11 lesson applied in advance). (5) THE PROBE-SIDE REACH IS THE D9(b)-VISIBLE ROSTER, not 'the vocabulary' (see the competence wording): a competence selection that plausibly biases the floor UPWARD. (6) THE FIVE CROSS-MENTION CELLS (D21a) are kept in the gate-bearing pool: a confounded miss can only LOWER the floor, so the bias runs against the gate \u2014 excluding them would be evidence-removal in the gate's favour, the anti-conservative move the lineage never makes. They are reported individually as a named confound row so a reader of the column profiles is not misled. (7) THE D9(b) RESIDUAL biases TOWARD the gate and is the one bias direction here that does; it is disclosed per subject and carried by the pre-registered residual-conservative read. (8) THE PRE-REGISTERED CEILINGS are facts about the arm, not evidence for the gate: 6 / 8 / 15 gate-arm cells are already recorded in M1 and their misses cap the arm at 35/41, 69/71 and 82/84 before a single new forward pass."
+  }
+ },
+ "dropped_single_token_prefilter": [],
+ "m1_crosscheck": {
+  "results": "results/m1-battery-qwen2.5-1.5b-instruct.json",
+  "gate_bearing": true,
+  "mismatches": [],
+  "n_mismatches": 0,
+  "items_checked": 180,
+  "items_expected": 180,
+  "cells_checked": 255,
+  "cells_expected": 255,
+  "mass_cells_equal": 255
+ },
+ "m3_crosscheck": {
+  "results": "results/m3-matrix-qwen2.5-1.5b-instruct.json",
+  "gate_bearing": true,
+  "mismatches": [],
+  "n_mismatches": 0,
+  "items_checked": 36,
+  "items_expected": 36,
+  "cells_checked": 468,
+  "cells_expected": 468,
+  "mass_cells_equal": 468
+ },
+ "smoke_limit": null,
+ "competence": {
+  "items_run": 180,
+  "gate_span": 105,
+  "gate_arm_n": 71,
+  "gate_arm_concepts": 41,
+  "zero_gated_non_subset_concepts": [
+   "Monday",
+   "Neptune",
+   "Saturn",
+   "Thursday",
+   "ant",
+   "bronze",
+   "moth"
+  ],
+  "gate_first_token_texture": 61,
+  "gate_verbatim_p": 32
+ },
+ "clean_cell": {
+  "hits": 105,
+  "n": 105,
+  "rate": 1.0,
+  "wilson_95": [
+   0.9647046717431569,
+   0.9999999999999998
+  ],
+  "underpowered": false
+ },
+ "new_pool_arms": {
+  "off_target": {
+   "hits": 791,
+   "n": 852,
+   "rate": 0.9284037558685446,
+   "wilson_95": [
+    0.9091008733854032,
+    0.9438607026819438
+   ],
+   "underpowered": false
+  },
+  "within_category": {
+   "hits": 22,
+   "n": 29,
+   "rate": 0.7586206896551724,
+   "wilson_95": [
+    0.578920477816713,
+    0.8778173181493787
+   ],
+   "underpowered": false
+  },
+  "cross_category": {
+   "hits": 769,
+   "n": 823,
+   "rate": 0.9343863912515188,
+   "wilson_95": [
+    0.9153705579106514,
+    0.949365807555237
+   ],
+   "underpowered": false
+  },
+  "subset_diagonal": {
+   "hits": 0,
+   "n": 34,
+   "rate": 0.0,
+   "wilson_95": [
+    0.0,
+    0.10151790621961015
+   ],
+   "underpowered": false
+  },
+  "subset_off_diagonal": {
+   "hits": 363,
+   "n": 374,
+   "rate": 0.9705882352941176,
+   "wilson_95": [
+    0.9481080958144963,
+    0.9834992232313684
+   ],
+   "underpowered": false
+  }
+ },
+ "vocabulary_sparing": {
+  "gate_arm": {
+   "k": 51,
+   "n": 71,
+   "rate": 0.7183098591549296,
+   "wilson_95": [
+    0.604577630038469,
+    0.8096305108885021
+   ]
+  },
+  "bar": 0.5,
+  "clears_bar": true,
+  "underpowered": false,
+  "conservative_reads": [
+   {
+    "read": "residual-conservative",
+    "note": "every residual cell re-scored as a miss, denominator FAIL IN PLACE at the as-scored n (D20)",
+    "k": 49,
+    "n": 71,
+    "rate": 0.6901408450704225,
+    "wilson_95": [
+     0.5751576839846767,
+     0.7856042452097819
+    ]
+   },
+   {
+    "read": "concept-level",
+    "note": "one binary per non-subset concept with >= 1 gated item: every gated item of the concept survives all 12 (D20's effective-n check)",
+    "k": 24,
+    "n": 41,
+    "rate": 0.5853658536585366,
+    "wilson_95": [
+     0.4336683535683661,
+     0.7224366917466984
+    ]
+   }
+  ],
+  "cluster_mean_floor": {
+   "readout": "cluster-collapsed per-cell survival on the new pool (M3's F15 readout, reported for comparability \u2014 NEVER gating in M4)",
+   "sum_of_fractions": 65.91666666666667,
+   "mean_survival_fraction": 0.9284037558685446,
+   "k": 65,
+   "n": 71,
+   "wilson_95": [
+    0.82763759540867,
+    0.9606940276458881
+   ],
+   "reference_line": 0.5,
+   "below_reference_line": false
+  },
+  "ordering_contrast": {
+   "label": "pooled non-subset off-target vs the subset diagonal (rejected option (b), descriptive continuity with M3 \u2014 never gating in M4)",
+   "diagonal": {
+    "hits": 0,
+    "n": 34,
+    "rate": 0.0,
+    "wilson_95": [
+     0.0,
+     0.10151790621961015
+    ],
+    "underpowered": false
+   },
+   "off_target": {
+    "hits": 791,
+    "n": 852,
+    "rate": 0.9284037558685446,
+    "wilson_95": [
+     0.9091008733854032,
+     0.9438607026819438
+    ],
+    "underpowered": false
+   },
+   "newcombe_offtarget_minus_diagonal_naming": [
+    0.9284037558685446,
+    0.82506699302312,
+    0.9438607026819438
+   ],
+   "excludes_zero": true
+  },
+  "degenerate_gate_arms": [],
+  "subset_diagonal_collapsed_tag": false,
+  "row_texture_caveats": [],
+  "column_texture_caveats": [
+   "copper"
+  ],
+  "verdict": "VOCAB-SPARING (51/71 survive all 12 = 0.718; Wilson 95% lower 0.605) \u2014 AS-SCORED ONLY (concept-level 24/41 = 0.585, lower 0.434)"
+ },
+ "gate_arm_ceiling": {
+  "note": "cells already recorded in M1 (the item's frozen control direction is a prime) \u2014 their outcomes were fixed before the run, so their misses cap the arm. A fact about the arm, never evidence for the gate.",
+  "cells_recorded_in_m1": 8,
+  "misses": [
+   "july-3",
+   "venus-3"
+  ],
+  "ceiling": 69,
+  "n": 71
+ },
+ "strip": [
+  {
+   "prime": "Brazil",
+   "probe": "April",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Canada",
+   "in_subset_probe": true,
+   "same_category": true,
+   "cell": {
+    "hits": 2,
+    "n": 3,
+    "rate": 0.6666666666666666,
+    "wilson_95": [
+     0.20765495512648796,
+     0.9385096847238394
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "China",
+   "in_subset_probe": true,
+   "same_category": true,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Egypt",
+   "in_subset_probe": true,
+   "same_category": true,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "February",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "France",
+   "in_subset_probe": true,
+   "same_category": true,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Friday",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "January",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Japan",
+   "in_subset_probe": true,
+   "same_category": true,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "July",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Jupiter",
+   "in_subset_probe": true,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Mars",
+   "in_subset_probe": true,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Mercury",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Monday",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Neptune",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "October",
+   "in_subset_probe": true,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Saturday",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Saturn",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "September",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Sunday",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Thursday",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Tuesday",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Venus",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "amber",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 2,
+    "rate": 0.5,
+    "wilson_95": [
+     0.09452865480086614,
+     0.9054713451991339
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "ant",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "bear",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "bee",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "beetle",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "bronze",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "butterfly",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "chicken",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "copper",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "cow",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 3,
+    "rate": 0.6666666666666666,
+    "wilson_95": [
+     0.20765495512648796,
+     0.9385096847238394
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "diamond",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "drum",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "duck",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "eagle",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "flute",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "gold",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "guitar",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "horse",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "iron",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "jade",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "lion",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "mosquito",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "moth",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 0,
+    "rate": null,
+    "wilson_95": [
+     0.0,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "opal",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "pearl",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "piano",
+   "in_subset_probe": true,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "pig",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "platinum",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "ruby",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "shark",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 0,
+    "n": 1,
+    "rate": 0.0,
+    "wilson_95": [
+     0.0,
+     0.7934567085261071
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "sheep",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 2,
+    "n": 2,
+    "rate": 1.0,
+    "wilson_95": [
+     0.34237195288961925,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "silver",
+   "in_subset_probe": true,
+   "same_category": false,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "spider",
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+    "ablate_Egypt": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.5911829471588135,
+     "says_concept_in_3": true
+    },
+    "ablate_France": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.5873384475708008,
+     "says_concept_in_3": true
+    },
+    "ablate_Japan": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.6153620481491089,
+     "says_concept_in_3": true
+    },
+    "ablate_Jupiter": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.6285710334777832,
+     "says_concept_in_3": true
+    },
+    "ablate_Mars": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.5961186289787292,
+     "says_concept_in_3": true
+    },
+    "ablate_piano": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.6461764574050903,
+     "says_concept_in_3": true
+    },
+    "ablate_violin": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.6095830798149109,
+     "says_concept_in_3": true
+    },
+    "ablate_October": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.682182788848877,
+     "says_concept_in_3": true
+    },
+    "ablate_silver": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.610847532749176,
+     "says_concept_in_3": true
+    }
+   },
+   "gate_span": true,
+   "gate_first_token": true,
+   "gate_verbatim_p": false
+  },
+  {
+   "name": "sunday-3",
+   "category": "days of the week",
+   "concept": "Sunday",
+   "control": "Monday",
+   "source": "m1-new",
+   "in_subset": false,
+   "direction_key": "bare",
+   "mass_channel_eligible": true,
+   "cells": {
+    "clean": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.3967673182487488,
+     "says_concept_in_3": false
+    },
+    "ablate_Brazil": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.3095506429672241,
+     "says_concept_in_3": false
+    },
+    "ablate_Canada": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.33203065395355225,
+     "says_concept_in_3": false
+    },
+    "ablate_China": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.3567192554473877,
+     "says_concept_in_3": false
+    },
+    "ablate_Egypt": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.2917920649051666,
+     "says_concept_in_3": false
+    },
+    "ablate_France": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.3308323621749878,
+     "says_concept_in_3": false
+    },
+    "ablate_Japan": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.38780444860458374,
+     "says_concept_in_3": false
+    },
+    "ablate_Jupiter": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.3893638551235199,
+     "says_concept_in_3": false
+    },
+    "ablate_Mars": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.44096213579177856,
+     "says_concept_in_3": false
+    },
+    "ablate_piano": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.4232419431209564,
+     "says_concept_in_3": false
+    },
+    "ablate_violin": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.3932569921016693,
+     "says_concept_in_3": false
+    },
+    "ablate_October": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.4543246626853943,
+     "says_concept_in_3": true
+    },
+    "ablate_silver": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.36792755126953125,
+     "says_concept_in_3": false
+    }
+   },
+   "gate_span": false,
+   "gate_first_token": false,
+   "gate_verbatim_p": false
+  }
+ ]
+}
\ No newline at end of file
diff --git a/results/m4-strip-qwen2.5-3b-instruct.json b/results/m4-strip-qwen2.5-3b-instruct.json
new file mode 100644
index 0000000..ac3d5ad
--- /dev/null
+++ b/results/m4-strip-qwen2.5-3b-instruct.json
@@ -0,0 +1,39885 @@
+{
+ "milestone": "M4",
+ "model_id": "Qwen/Qwen2.5-3B-Instruct",
+ "lens": "lenses/qwen2.5-3b-instruct-n100.pt",
+ "lens_n_prompts": 100,
+ "band": [
+  14,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  21,
+  22,
+  23,
+  24,
+  25,
+  26,
+  27,
+  28,
+  29,
+  30,
+  31,
+  32
+ ],
+ "thirds": {
+  "early": [
+   14,
+   15,
+   16,
+   17,
+   18,
+   19
+  ],
+  "middle": [
+   20,
+   21,
+   22,
+   23,
+   24,
+   25
+  ],
+  "late": [
+   26,
+   27,
+   28,
+   29,
+   30,
+   31,
+   32
+  ]
+ },
+ "ablated_layers": [
+  26,
+  27,
+  28,
+  29,
+  30,
+  31,
+  32
+ ],
+ "lambda": 1.0,
+ "mode": "gate (survives-all-12 on the gated non-subset items) + descriptive (the strip)",
+ "environment": {
+  "device": "mps",
+  "torch": "2.13.0",
+  "transformers": "5.13.1",
+  "certified": true,
+  "uncertified_reasons": []
+ },
+ "protocol": {
+  "instructions": {
+   "naming": "Consider this sentence: \"{clue}\"\n\nWhich {noun} is the sentence describing? Answer with just the name."
+  },
+  "primes": [
+   "Brazil",
+   "Canada",
+   "China",
+   "Egypt",
+   "France",
+   "Japan",
+   "Jupiter",
+   "Mars",
+   "piano",
+   "violin",
+   "October",
+   "silver"
+  ],
+  "subset_strata": {
+   "S1_hard_switch_core": [
+    "Brazil",
+    "Canada",
+    "China",
+    "France",
+    "Japan"
+   ],
+   "S2_readout_unlocked": [
+    "Jupiter",
+    "Mars",
+    "piano",
+    "violin"
+   ],
+   "S3_leaky_switch": [
+    "Egypt",
+    "October"
+   ],
+   "S4_non_specific_anti_example": [
+    "silver"
+   ]
+  },
+  "concept_categories": {
+   "France": "countries",
+   "China": "countries",
+   "Egypt": "countries",
+   "Canada": "countries",
+   "February": "months",
+   "July": "months",
+   "October": "months",
+   "April": "months",
+   "lion": "animals",
+   "eagle": "animals",
+   "shark": "animals",
+   "spider": "animals",
+   "Mars": "planets",
+   "Saturn": "planets",
+   "piano": "musical instruments",
+   "guitar": "musical instruments",
+   "diamond": "gemstones",
+   "gold": "precious metals",
+   "cow": "farm animals",
+   "bee": "insects",
+   "Japan": "countries",
+   "Brazil": "countries",
+   "January": "months",
+   "September": "months",
+   "tiger": "animals",
+   "bear": "animals",
+   "Venus": "planets",
+   "Jupiter": "planets",
+   "Mercury": "planets",
+   "Neptune": "planets",
+   "violin": "musical instruments",
+   "drum": "musical instruments",
+   "trumpet": "musical instruments",
+   "flute": "musical instruments",
+   "silver": "precious metals",
+   "platinum": "precious metals",
+   "copper": "precious metals",
+   "bronze": "precious metals",
+   "iron": "precious metals",
+   "ruby": "gemstones",
+   "pearl": "gemstones",
+   "jade": "gemstones",
+   "opal": "gemstones",
+   "amber": "gemstones",
+   "pig": "farm animals",
+   "horse": "farm animals",
+   "sheep": "farm animals",
+   "chicken": "farm animals",
+   "duck": "farm animals",
+   "ant": "insects",
+   "beetle": "insects",
+   "butterfly": "insects",
+   "moth": "insects",
+   "mosquito": "insects",
+   "Monday": "days of the week",
+   "Tuesday": "days of the week",
+   "Thursday": "days of the week",
+   "Friday": "days of the week",
+   "Saturday": "days of the week",
+   "Sunday": "days of the week"
+  },
+  "conditions": [
+   {
+    "name": "clean",
+    "group": "clean",
+    "direction": null,
+    "layers": [],
+    "lam": 0.0
+   },
+   {
+    "name": "ablate_Brazil",
+    "group": "prime",
+    "direction": "Brazil",
+    "layers": [
+     26,
+     27,
+     28,
+     29,
+     30,
+     31,
+     32
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Canada",
+    "group": "prime",
+    "direction": "Canada",
+    "layers": [
+     26,
+     27,
+     28,
+     29,
+     30,
+     31,
+     32
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_China",
+    "group": "prime",
+    "direction": "China",
+    "layers": [
+     26,
+     27,
+     28,
+     29,
+     30,
+     31,
+     32
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Egypt",
+    "group": "prime",
+    "direction": "Egypt",
+    "layers": [
+     26,
+     27,
+     28,
+     29,
+     30,
+     31,
+     32
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_France",
+    "group": "prime",
+    "direction": "France",
+    "layers": [
+     26,
+     27,
+     28,
+     29,
+     30,
+     31,
+     32
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Japan",
+    "group": "prime",
+    "direction": "Japan",
+    "layers": [
+     26,
+     27,
+     28,
+     29,
+     30,
+     31,
+     32
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Jupiter",
+    "group": "prime",
+    "direction": "Jupiter",
+    "layers": [
+     26,
+     27,
+     28,
+     29,
+     30,
+     31,
+     32
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_Mars",
+    "group": "prime",
+    "direction": "Mars",
+    "layers": [
+     26,
+     27,
+     28,
+     29,
+     30,
+     31,
+     32
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_piano",
+    "group": "prime",
+    "direction": "piano",
+    "layers": [
+     26,
+     27,
+     28,
+     29,
+     30,
+     31,
+     32
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_violin",
+    "group": "prime",
+    "direction": "violin",
+    "layers": [
+     26,
+     27,
+     28,
+     29,
+     30,
+     31,
+     32
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_October",
+    "group": "prime",
+    "direction": "October",
+    "layers": [
+     26,
+     27,
+     28,
+     29,
+     30,
+     31,
+     32
+    ],
+    "lam": 1.0
+   },
+   {
+    "name": "ablate_silver",
+    "group": "prime",
+    "direction": "silver",
+    "layers": [
+     26,
+     27,
+     28,
+     29,
+     30,
+     31,
+     32
+    ],
+    "lam": 1.0
+   }
+  ],
+  "cells_planned": 2340,
+  "recorded_surfaces": {
+   "m1_cells": 255,
+   "m1_items": 180,
+   "m3_cells": 468,
+   "m3_items": 36
+  },
+  "cross_mention_pairs": [
+   [
+    "October",
+    "september-2"
+   ],
+   [
+    "silver",
+    "flute-1"
+   ],
+   [
+    "China",
+    "jade-1"
+   ],
+   [
+    "October",
+    "opal-2"
+   ],
+   [
+    "Egypt",
+    "beetle-2"
+   ]
+  ],
+  "gate": "greedy-span naming-only under D9(b); first-token recorded beside",
+  "readback_tol": 0.0001,
+  "min_n": 20,
+  "collapse_share": 0.5,
+  "p_name_floor": 0.85,
+  "span_tokens": 3,
+  "survival_lower_bound": 0.5,
+  "cluster_floor_reference": 0.5,
+  "run_time_bars": {
+   "span_tokens": 3,
+   "words_checked": 60,
+   "form_lengths": {
+    "April": [
+     1,
+     1
+    ],
+    "Brazil": [
+     1,
+     1
+    ],
+    "Canada": [
+     1,
+     1
+    ],
+    "China": [
+     1,
+     1
+    ],
+    "Egypt": [
+     1,
+     1
+    ],
+    "February": [
+     1,
+     1
+    ],
+    "France": [
+     1,
+     1
+    ],
+    "Friday": [
+     1,
+     1
+    ],
+    "January": [
+     1,
+     1
+    ],
+    "Japan": [
+     1,
+     1
+    ],
+    "July": [
+     1,
+     1
+    ],
+    "Jupiter": [
+     2,
+     1
+    ],
+    "Mars": [
+     2,
+     1
+    ],
+    "Mercury": [
+     2,
+     1
+    ],
+    "Monday": [
+     1,
+     1
+    ],
+    "Neptune": [
+     2,
+     1
+    ],
+    "October": [
+     1,
+     1
+    ],
+    "Saturday": [
+     1,
+     1
+    ],
+    "Saturn": [
+     2,
+     1
+    ],
+    "September": [
+     1,
+     1
+    ],
+    "Sunday": [
+     1,
+     1
+    ],
+    "Thursday": [
+     1,
+     1
+    ],
+    "Tuesday": [
+     1,
+     1
+    ],
+    "Venus": [
+     2,
+     1
+    ],
+    "amber": [
+     1,
+     1
+    ],
+    "ant": [
+     1,
+     1
+    ],
+    "bear": [
+     1,
+     1
+    ],
+    "bee": [
+     1,
+     1
+    ],
+    "beetle": [
+     3,
+     1
+    ],
+    "bronze": [
+     2,
+     1
+    ],
+    "butterfly": [
+     3,
+     1
+    ],
+    "chicken": [
+     2,
+     1
+    ],
+    "copper": [
+     2,
+     1
+    ],
+    "cow": [
+     1,
+     1
+    ],
+    "diamond": [
+     1,
+     1
+    ],
+    "drum": [
+     2,
+     1
+    ],
+    "duck": [
+     1,
+     1
+    ],
+    "eagle": [
+     2,
+     1
+    ],
+    "flute": [
+     2,
+     1
+    ],
+    "gold": [
+     1,
+     1
+    ],
+    "guitar": [
+     2,
+     1
+    ],
+    "horse": [
+     1,
+     1
+    ],
+    "iron": [
+     1,
+     1
+    ],
+    "jade": [
+     2,
+     1
+    ],
+    "lion": [
+     1,
+     1
+    ],
+    "mosquito": [
+     2,
+     1
+    ],
+    "moth": [
+     1,
+     1
+    ],
+    "opal": [
+     1,
+     2
+    ],
+    "pearl": [
+     2,
+     1
+    ],
+    "piano": [
+     2,
+     1
+    ],
+    "pig": [
+     1,
+     1
+    ],
+    "platinum": [
+     2,
+     1
+    ],
+    "ruby": [
+     1,
+     1
+    ],
+    "shark": [
+     2,
+     1
+    ],
+    "sheep": [
+     2,
+     1
+    ],
+    "silver": [
+     1,
+     1
+    ],
+    "spider": [
+     2,
+     1
+    ],
+    "tiger": [
+     2,
+     1
+    ],
+    "trumpet": [
+     3,
+     1
+    ],
+    "violin": [
+     2,
+     1
+    ]
+   },
+   "worst_form_length": 3,
+   "all_ascii": true
+  },
+  "items": "items/m1-battery.json",
+  "gate_wording": {
+   "oracle": "D9(b), frozen 2026-07-28 before any M2 run. PRIMARY READOUT: the concept is produced iff the decoded first-3-greedy span, after stripping leading whitespace, opens with the concept's spelling at a word boundary, case-insensitive \u2014 a prefix rule, never containment ('not France' is a miss), with the word boundary defined as 'the next character is not a letter or digit' ('Marseille' is not Mars) and the END OF THE SPAN counting as a boundary (review F5: a word that exactly fills the recorded span, 'Butterfly', is a hit \u2014 truncation must never turn a completed word into a miss). Case-insensitive because orthography is not semantics: 'Piano' is the word piano, and the widening is measured to do real work (1.5B prefix gate 72 case-exact -> 105 case-insensitive). This is a fixed string rule on a deterministic greedy span, frozen as code with unit tests \u2014 never free-text parsing and never an LLM judge. S4's 'The ...' miss-counting caveat is UNCHANGED in kind and still owned: 'The France' remains a miss. The first-token outcome is computed and recorded beside every cell, so every cross-check against M0/M1 artifacts compares raw recorded fields and is oracle-independent. OWNED RESIDUAL (review F12): for the three concepts whose bare form fills the 3-token span (beetle, butterfly, trumpet) the closing boundary is unobservable, so a longer word sharing those tokens would score as a hit ('Beetlejuice' truncates to exactly 'Beetle'). Six recorded M1 cells fill the span this way; each is a completed word on inspection and is the item's own intended answer, but the truncated recording cannot rule out a longer continuation, so the residual is owned rather than excluded. None of the three concepts is in M2's subset.",
+   "competence": "D9(b) + D6(a) item-level greedy-span naming-only gate, carried verbatim from M2/M3: an item enters the gated set iff its CLEAN naming span satisfies the D9(b) oracle above. Gating is a property of the clean arm alone, decided once per item and DIRECTION-INDEPENDENT, so every one of this run's 12 prime columns shares ONE gated set \u2014 which is what makes the rows, the columns and the pooled arms comparable. Gating is per-subject. M1's first-token gate is computed and recorded beside it as texture, never gating here. The paper-style verbatim-P rate (clean concept mass >= 0.85) is reported alongside as texture, never gating; note it is floor-pinned by construction for concepts whose emitted bare spelling has no single-token form (the mass-channel scope, D13). OWNED, AND THE REASON THE CLAIM SAYS WHAT IT SAYS: 25 / 7 / 5 of the 48 non-subset concepts gate ZERO items at 0.5B / 1.5B / 3B, because the model answers something else, answers correctly behind a modifier the opening-word rule refuses, or misses on morphology \u2014 a COMPETENCE SELECTION, not tokenizer geometry (under D9(b) the gate is a prefix on the 3-token span, so it is insensitive to token count up to 3). Confidently-named concepts are plausibly the robust ones, so the selection biases the measured sparing floor UPWARD (F12's selection-enrichment mechanism, now on the probe side). The claim is sparing across the MEASURABLE vocabulary, said exactly that way.",
+   "sparing": "D20(a), pre-committed before any M4 run, with both post-freeze amendments ratified by Kyle 2026-07-29. VOCAB-SPARING iff, per subject: among the gated NON-SUBSET items (concepts outside the 12-concept matrix roster), the proportion that SURVIVES ALL 12 subset-direction deletions \u2014 D9(b) naming success in every one of the item's 12 off-target cells \u2014 has its Wilson 95% lower bound at or above 0.5. This 0.5 is a bar on the 12-FOLD CONJUNCTION, not on per-cell survival, and is NOT M3's per-cell floor: under independence it corresponds to a per-cell survival of 0.5^(1/12) ~ 0.944, and its stringency depends on the deletion count (12) as much as on the sparing rate. The bar is read ONLY when the 468 M3-recorded and 255 M1-recorded cells in the strip reproduce their recorded outcomes bit-for-bit; any mismatch is INVALID and there is no verdict. The M4 verdict is the AND over 1.5B and 3B; 0.5B runs and is reported under its standing any-direction-damage frame, never gate-bearing. Gate-arm n < MIN_N = 20 => pre-declared UNDERPOWERED and no claim (realized n = 41 / 71 / 84 from the recorded gated sets). VERDICT STRING, PRE-COMMITTED: the label alone over-reads \u2014 clearing a floor bar is compatible with a large minority of measurable items damaged \u2014 so the verdict, whichever way it goes, carries its REALIZED SURVIVAL PROPORTION in the same string: VOCAB-SPARING when the bar is cleared and the lineage's pre-committed null 'not shown' when it is not \u2014 never an assertive negative, because failing a Wilson LOWER bound does not establish the contrary (m1_battery.py, m2_depth.py, m3_matrix.py all emit 'not shown'). The gate verdict is the AND over the two gate-bearing subjects; 0.5B's readout is reported in the same shape under its standing any-direction-damage frame and is NOT a gate verdict, so a low 0.5B reading is never a 'not shown' gate claim. CONSERVATIVE-READ QUALIFIER, PRE-DECLARED: two pre-registered reads can fall below the bar when the as-scored read clears it \u2014 the residual-conservative fail-in-place read and the concept-level collapse \u2014 and the brief pre-commits that where they diverge, THEIR numbers are the honest ones. So a CLAIM-LEVEL verdict additionally carries the qualifier AS-SCORED ONLY, naming each such read and its number, whenever any pre-registered conservative read's Wilson 95% lower bound is below 0.5 while the as-scored read's is not. The qualifier SCOPES A CLAIM AND CAN NEVER CREATE OR RESCUE ONE (D17's rule, carried), so it attaches to a bar-level verdict only and never to NOT A RESULT, DEGENERATE or UNDERPOWERED \u2014 precedence has already withheld the claim there, leaving it nothing to scope. THE TWO TEMPLATES, STATED ONCE AND IMPLEMENTED VERBATIM \u2014 base: '<label> (k/n survive all 12 = <rate>; Wilson 95% lower <lo>)'; qualifier, appended to the base string when it fires: ' \u2014 AS-SCORED ONLY (<read> k/n = <rate>, lower <lo>[; <read> ...])', with the reads listed in the fixed order residual-conservative, concept-level when both fire. Worked: 'VOCAB-SPARING (44/71 survive all 12 = 0.620; Wilson 95% lower 0.503) \u2014 AS-SCORED ONLY (residual-conservative 42/71 = 0.592, lower 0.475)'. THE 0.5 CONSTANT IS NEW, AND OWNED AS NEW \u2014 not carried from M3, whose 0.5 was a floor on cluster-collapsed PER-CELL survival while M4's is a bar on a 12-FOLD CONJUNCTION. Two consequences, stated rather than inherited. (i) STATUS CHANGED: M3's constant was itself uncalibrated and D17 tolerated that only because the qualifier it scoped could never create or rescue a claim; M4 makes a constant of the same value the SINGLE DISPOSITIVE GATE, so D17's tolerance does not transfer. (ii) THE DELETION COUNT IS HALF THE BAR: at a per-cell rate of 0.971 (M3's recorded 1.5B off-diagonal) the conjunction reads ~0.70 and clears the bar; at 0.94 it reads ~0.48 and fails. M4's 0.5 is therefore a new, deliberately lenient, uncalibrated constant \u2014 pre-registered before any new cell was run and fitted to none \u2014 and its per-cell equivalence is written into this wording so no write-up can quote it as M3's floor. It is a floor bar, not an effect-size claim; the descriptive numbers carry the actual size. WHY THE RE-CERTIFICATION CLAUSE IS INSIDE THE WORDING: every prior stage's gate compared an intervened arm against another MEASURED arm, so a dead intervention could never pass one. M4's bar is single-clause and reads only the off-target survival rate \u2014 so read in isolation, an ablation that did nothing at all would score ~100% survival and print VOCAB-SPARING. The strip's re-run of M3's 432 matrix cells and M1's 36 primed_late cells catches exactly that, and any mismatch exits INVALID; putting it in the frozen wording means the sentence cannot be quoted out of its own precondition. TRADE-OFF, OWNED: survives-all-12 is the strictest sparing statistic; a single fragile cell fails an item, and the correlation structure across the 12 deletions (unmeasured until this run) decides how harsh that is. That bias direction runs AGAINST the claim, the one direction this project accepts. Every strip cell ablates the subject's identical late-third layer set at lambda = 1, k = 1, so the compared arms differ ONLY IN WHICH DIRECTION IS REMOVED and which item is asked \u2014 never in depth, layer count, or dose (PR #7 review F2's tier-width caveat, retired structurally and stated here so it stays owned; if a later stage re-introduces tiers, the caveat clause must come back with them).",
+   "conservative_reads": "D20, both pre-registered here and NEVER dispositive; each is reported beside the gate and each can fire the AS-SCORED ONLY qualifier. (1) THE RESIDUAL-CONSERVATIVE READ. D9(b)'s owned span-truncation residual re-enters a gate-bearing arm for the first time since M1: `oracle.py`'s frozen wording closes with 'None of the three concepts is in M2's subset', and M4's wider probe side retires exactly that scope sentence. The same gate statistic is recomputed with every RESIDUAL CELL re-scored as a MISS \u2014 the maximally conservative reading of the boundary D9(b) cannot observe. A RESIDUAL CELL is one whose recorded span, after stripping leading whitespace, EQUALS THE SCORED CONCEPT'S SPELLING WITH NOTHING FOLLOWING IT \u2014 compared CASE-INSENSITIVELY, exactly as `oracle.says_concept_prefix` compares (re.IGNORECASE) \u2014 so that no boundary character is observed. The case rule is stated because it DECIDES THE SET, not as a detail: the recorded spans are 'Beetle', 'Butterfly', 'Trumpet' while the roster spellings are lowercase, so a case-EXACT comparison would select ZERO cells and silently turn this mitigation into a no-op. That is the selector: it is NOT 'the span fills the 3-token window', which every recorded cell does by construction. In the recorded clean arm the gate-arm residual cells are 0 / 2 / 2 at 0.5B / 1.5B / 3B (1.5B beetle-1, butterfly-1; 3B trumpet-3, butterfly-1); in the ablated cells the set is whatever the run records, computed from the same recorded spans by the same selector. DENOMINATOR, PRE-REGISTERED: FAIL IN PLACE. The gate arm stays at its as-scored n \u2014 41 / 71 / 84, the knowable-now cross-check the power table freezes \u2014 and a residual-affected item scores as a FAILURE within that arm. The alternative reading (re-score the clean cell too, so the item un-gates and the arm shrinks) is named and REJECTED: it is the less conservative of the two at the bar \u2014 with the same numerator, wilson(43, 71) reads 0.489 and fails while wilson(43, 69) reads 0.505 and passes \u2014 and it would break the power table's pre-registered n. Fail-in-place keeps the read strictly one-way: it can only lower the floor, never rescue it. The bias the residual itself carries runs TOWARD the gate (an unobservably-terminated span scores a hit), which is why it is disclosed per subject and carried by this recomputation rather than by editing `oracle.py` \u2014 editing it would force re-runs of three milestones. (2) THE CONCEPT-LEVEL COLLAPSE (the effective-n sanity check). Items cluster three-per-concept on the probe side, so beside the item-level gate the same statistic is recomputed collapsed to one binary per CONCEPT \u2014 'every gated item of this concept survives all 12 deletions' \u2014 over the non-subset concepts with >= 1 gated item (n = 23 / 41 / 43, all >= MIN_N). If the item-level gate is clean and the concept-level collapse is not, the concept-level numbers are the honest ones to quote.",
+   "descriptive": "D20's descriptive package \u2014 never gate-bearing, Wilson CIs, all pre-registered in the brief. The CLUSTER-MEAN PER-CELL FLOOR on the new pool (M3's F15 readout, reference line 0.5 \u2014 the M3-comparable view; deliberately NOT promoted to gate-bearing, so D17's 'acceptable only because the qualifier is never dispositive' rationale for that binomial approximation stays intact). The ORDERING CONTRAST from rejected option (b) (pooled off-target minus the subset diagonal, Newcombe), reported as descriptive continuity with M3. Per-prime ROW PROFILES (does any of the 12 damage the wider vocabulary?) and per-probe COLUMN PROFILES over all 60 concepts \u2014 finding 1's mostly out-of-sample test: M3 found collateral concentrates on fragile PROBES (silver's column) rather than on damaging PRIMES, and the 48 new probe columns are a near-fresh sample (6 / 8 / 15 of their gate-bearing cells are M1-recorded, the other 486 / 844 / 993 are new). The WITHIN- vs CROSS-CATEGORY split of the new pool. The five named CROSS-MENTION cells (D21a). Mean concept mass per cell under D13's standing scope. Per-pair (prime, probe) cells are n <= 3 and are always descriptive, never verdict-bearing (D7's logic, unchanged). The pooled 852-cell view repeats each item 12 times and is therefore texture, never the gate (M3's F11 lesson applied in advance).",
+   "run_time_bars": "D22(a), pre-trial, on the subject's own tokenizer \u2014 D18's two bars widened from M3's 12 direction words to EVERY SCORED WORD (all 60) plus the 12 direction words, because the soundness premise attaches to every scored word and M4 scores 60. (1) THE SPAN BAR: every such word must tokenize to <= oracle.SPAN_TOKENS = 3 in BOTH its bare and its leading-space form, max(len(tok(w)), len(tok(' ' + w))) <= SPAN_TOKENS, else the run exits INVALID. This is D9(b)/D10's whole soundness premise \u2014 a prefix hit cannot be hidden by span truncation BECAUSE every roster word fits the span \u2014 checked where it can drift (a tokenizer revision, a future roster edit) instead of inherited as an assumption. (2) THE ASCII BAR: every such word must be pure ASCII, else INVALID \u2014 `oracle._BOUNDARY` is `(?![A-Za-z0-9])`, so a non-ASCII continuation character would read as a word boundary and a longer non-ASCII word could score as a hit. Verified in advance for all 60 words on all three tokenizers (2026-07-28); the run-time bar still runs, because D18's point was that the premise must hold AT THE MOMENT OF MEASUREMENT. NOTE WHAT THE SPAN BAR CANNOT CATCH: the D9(b) residual passes it at exactly <= 3 tokens, which IS the residual condition \u2014 the residual is carried by disclosure plus the residual-conservative read above, never by this bar. M4 adds NO vocabulary (every probe and every prime comes from M1's frozen 60, all pure-ASCII spellings), so D18's named future trigger \u2014 a stage freezing a NON-ASCII list, which owes the `oracle._BOUNDARY` boundary-class decision first \u2014 is NOT fired by this stage; it continues to name the banked scope stretch. `oracle.py` is UNTOUCHED by both bars: it is byte-shared with `m1_rescore.py`, `m2_depth.py` and `m3_matrix.py` and must stay identical.",
+   "degeneracy": "D20, carrying D14/D17's wide-oracle guard verbatim and re-scoping it to M4's arms. The dispositive guard is unchanged in mechanism: pool the first tokens of an arm's NON-PRODUCED cells only, share taken against the arm's full cell count ('at least half this arm's answers are the same WRONG opening'), threshold COLLAPSE_SHARE = 0.5; the raw all-answers guard is recorded beside as texture. SCOPE, ENUMERATED \u2014 and this enumeration IS the discharge of PR #9 F1's conjunction-degeneracy obligation, which requires every surviving-side comparison arm of a conjunction gate to be on the dispositive list: M4's gate is deliberately SINGLE-CLAUSE, so the dispositive list has exactly ONE surviving arm. Collapse in the pooled NON-SUBSET OFF-TARGET arm \u2014 the single arm the gate reads \u2014 => DEGENERATE, no VOCAB-SPARING claim. Collapse in the subset DIAGONAL => TAG only (the expected mute signature, exactly `primed_late`'s standing treatment). `clean` stays off the dispositive list (it is the gate arm \u2014 the D14 F3 correction, carried). Collapse inside any single prime's ROW, any probe concept's COLUMN, or any per-pair CELL is TEXTURE, attached to the readout it compromises. If a later amendment ever makes M4's gate a conjunction, every surviving arm goes on this list before the wording freezes.",
+   "recorded_crosscheck": "D19(a), environment-scoped (carrying D16's pattern, M2's D14 and M1's D5a/F7 verbatim), one generation deeper and against TWO artifact sets at once. Per subject the strip contains 255 cells recorded in M1's artifacts (`clean` 180, the 12 subset concepts' `primed_late` 36, and the 39 `control_late` cells whose control direction is a subset member) and 468 cells recorded in M3's artifacts (the 36 subset `clean` cells plus all 432 matrix cells \u2014 everything M3 ran except its 18 out-of-subset control-extras, whose directions are not strip primes). Both sets are graded FIRST and compared cell-for-cell on the RAW RECORDED FIELDS (`greedy` and `greedy_3` decoded strings) BEFORE any new cell is read; `concept_mass` equality is recorded as texture, never gating. The comparison is on raw strings, so it is oracle-independent \u2014 D9 cannot soften it. On the certified environment \u2014 device 'mps' under the pinned stack (torch 2.13.0, transformers 5.13.1) \u2014 any mismatch is INVALID (exit 2). Off that environment the check still runs and is recorded but is NOT gate-bearing, and the whole run is pre-declared NOT A RESULT, which m4_verdict.py refuses. Coverage is a property of the run rather than of the environment, so the bars that all 180 items and all 255 M1 cells, and all 36 subset items and all 468 M3 cells, were actually compared are UNSCOPED (M1 review F1's lesson). CONSEQUENCE WORTH STATING: because every `clean` cell is M1-recorded and gating is the deterministic clean arm under a frozen oracle, the realized gate-arm n is FIXED BEFORE THE RUN at 41 / 71 / 84 \u2014 a run that disagrees is an INVALID cross-check, not a power surprise.",
+   "precedence": "D20, frozen in `m4_verdict.strip_verdict()`: NOT A RESULT > DEGENERATE > UNDERPOWERED > the level bar (VOCAB-SPARING or the pre-committed null 'not shown', each carrying its realized proportion, and AS-SCORED ONLY appended only at this level \u2014 the three higher outcomes withhold the claim, leaving the qualifier nothing to scope). Wrong-arm inputs exit INVALID before any trial and, per PR #7 review F6's disposition carried from M3, before the checkpoint is even loaded; `--dry-run` validates and stops; `--limit` is smoke, never a result; M4 refuses M1 or M3 artifacts that were themselves not results. All M1/M2/M3 patterns carried verbatim.",
+   "honesty": "Owned, pre-committed. (1) Items within a concept share one lens direction on the prime side and one concept on the probe side, so item-level pooling overstates independence; the pre-registered concept-level collapse is the honest granular view beside it, and the per-prime, per-probe and per-pair maps are the granular descriptive views. (2) PRIME-SIDE CLUSTERING \u2014 every item faces the same 12 directions \u2014 is the unmeasured correlation structure the survives-all-12 statistic is conservative under: a single fragile cell fails an item. (3) MIN_N = 20 is applied to raw n, not to an effective n discounted for clustering. (4) The pooled 492 / 852 / 1,008-cell off-target view repeats each gated item 12 times, which would make a Newcombe interval on it NARROWER than the clustering justifies \u2014 anti-conservative and owned, which is why that pool is TEXTURE and the gate reads the per-item conjunction instead (M3's F11 lesson applied in advance). (5) THE PROBE-SIDE REACH IS THE D9(b)-VISIBLE ROSTER, not 'the vocabulary' (see the competence wording): a competence selection that plausibly biases the floor UPWARD. (6) THE FIVE CROSS-MENTION CELLS (D21a) are kept in the gate-bearing pool: a confounded miss can only LOWER the floor, so the bias runs against the gate \u2014 excluding them would be evidence-removal in the gate's favour, the anti-conservative move the lineage never makes. They are reported individually as a named confound row so a reader of the column profiles is not misled. (7) THE D9(b) RESIDUAL biases TOWARD the gate and is the one bias direction here that does; it is disclosed per subject and carried by the pre-registered residual-conservative read. (8) THE PRE-REGISTERED CEILINGS are facts about the arm, not evidence for the gate: 6 / 8 / 15 gate-arm cells are already recorded in M1 and their misses cap the arm at 35/41, 69/71 and 82/84 before a single new forward pass."
+  }
+ },
+ "dropped_single_token_prefilter": [],
+ "m1_crosscheck": {
+  "results": "results/m1-battery-qwen2.5-3b-instruct.json",
+  "gate_bearing": true,
+  "mismatches": [],
+  "n_mismatches": 0,
+  "items_checked": 180,
+  "items_expected": 180,
+  "cells_checked": 255,
+  "cells_expected": 255,
+  "mass_cells_equal": 255
+ },
+ "m3_crosscheck": {
+  "results": "results/m3-matrix-qwen2.5-3b-instruct.json",
+  "gate_bearing": true,
+  "mismatches": [],
+  "n_mismatches": 0,
+  "items_checked": 36,
+  "items_expected": 36,
+  "cells_checked": 468,
+  "cells_expected": 468,
+  "mass_cells_equal": 468
+ },
+ "smoke_limit": null,
+ "competence": {
+  "items_run": 180,
+  "gate_span": 116,
+  "gate_arm_n": 84,
+  "gate_arm_concepts": 43,
+  "zero_gated_non_subset_concepts": [
+   "Monday",
+   "amber",
+   "beetle",
+   "duck",
+   "moth"
+  ],
+  "gate_first_token_texture": 44,
+  "gate_verbatim_p": 31
+ },
+ "clean_cell": {
+  "hits": 116,
+  "n": 116,
+  "rate": 1.0,
+  "wilson_95": [
+   0.9679443532129076,
+   0.9999999999999999
+  ],
+  "underpowered": false
+ },
+ "new_pool_arms": {
+  "off_target": {
+   "hits": 948,
+   "n": 1008,
+   "rate": 0.9404761904761905,
+   "wilson_95": [
+    0.9241295477842413,
+    0.9534781726336581
+   ],
+   "underpowered": false
+  },
+  "within_category": {
+   "hits": 35,
+   "n": 53,
+   "rate": 0.660377358490566,
+   "wilson_95": [
+    0.5259453611082096,
+    0.773131371425709
+   ],
+   "underpowered": false
+  },
+  "cross_category": {
+   "hits": 913,
+   "n": 955,
+   "rate": 0.956020942408377,
+   "wilson_95": [
+    0.9410869855680511,
+    0.9673008023627186
+   ],
+   "underpowered": false
+  },
+  "subset_diagonal": {
+   "hits": 3,
+   "n": 32,
+   "rate": 0.09375,
+   "wilson_95": [
+    0.032400962626319516,
+    0.24218499335778831
+   ],
+   "underpowered": false
+  },
+  "subset_off_diagonal": {
+   "hits": 343,
+   "n": 352,
+   "rate": 0.9744318181818182,
+   "wilson_95": [
+    0.9521283971302547,
+    0.9864914831760391
+   ],
+   "underpowered": false
+  }
+ },
+ "vocabulary_sparing": {
+  "gate_arm": {
+   "k": 63,
+   "n": 84,
+   "rate": 0.75,
+   "wilson_95": [
+    0.6478552553489343,
+    0.830278111984994
+   ]
+  },
+  "bar": 0.5,
+  "clears_bar": true,
+  "underpowered": false,
+  "conservative_reads": [
+   {
+    "read": "residual-conservative",
+    "note": "every residual cell re-scored as a miss, denominator FAIL IN PLACE at the as-scored n (D20)",
+    "k": 62,
+    "n": 84,
+    "rate": 0.7380952380952381,
+    "wilson_95": [
+     0.6351486149043319,
+     0.8202164968422665
+    ]
+   },
+   {
+    "read": "concept-level",
+    "note": "one binary per non-subset concept with >= 1 gated item: every gated item of the concept survives all 12 (D20's effective-n check)",
+    "k": 26,
+    "n": 43,
+    "rate": 0.6046511627906976,
+    "wilson_95": [
+     0.4557879659331908,
+     0.7363489380154359
+    ]
+   }
+  ],
+  "cluster_mean_floor": {
+   "readout": "cluster-collapsed per-cell survival on the new pool (M3's F15 readout, reported for comparability \u2014 NEVER gating in M4)",
+   "sum_of_fractions": 79.0,
+   "mean_survival_fraction": 0.9404761904761905,
+   "k": 79,
+   "n": 84,
+   "wilson_95": [
+    0.8681156389946401,
+    0.974309817736567
+   ],
+   "reference_line": 0.5,
+   "below_reference_line": false
+  },
+  "ordering_contrast": {
+   "label": "pooled non-subset off-target vs the subset diagonal (rejected option (b), descriptive continuity with M3 \u2014 never gating in M4)",
+   "diagonal": {
+    "hits": 3,
+    "n": 32,
+    "rate": 0.09375,
+    "wilson_95": [
+     0.032400962626319516,
+     0.24218499335778831
+    ],
+    "underpowered": false
+   },
+   "off_target": {
+    "hits": 948,
+    "n": 1008,
+    "rate": 0.9404761904761905,
+    "wilson_95": [
+     0.9241295477842413,
+     0.9534781726336581
+    ],
+    "underpowered": false
+   },
+   "newcombe_offtarget_minus_diagonal_naming": [
+    0.8467261904761905,
+    0.6973938095923884,
+    0.909437879392216
+   ],
+   "excludes_zero": true
+  },
+  "degenerate_gate_arms": [],
+  "subset_diagonal_collapsed_tag": false,
+  "row_texture_caveats": [],
+  "column_texture_caveats": [],
+  "verdict": "VOCAB-SPARING (63/84 survive all 12 = 0.750; Wilson 95% lower 0.648) \u2014 AS-SCORED ONLY (concept-level 26/43 = 0.605, lower 0.456)"
+ },
+ "gate_arm_ceiling": {
+  "note": "cells already recorded in M1 (the item's frozen control direction is a prime) \u2014 their outcomes were fixed before the run, so their misses cap the arm. A fact about the arm, never evidence for the gate.",
+  "cells_recorded_in_m1": 15,
+  "misses": [
+   "guitar-2",
+   "neptune-1"
+  ],
+  "ceiling": 82,
+  "n": 84
+ },
+ "strip": [
+  {
+   "prime": "Brazil",
+   "probe": "April",
+   "in_subset_probe": false,
+   "same_category": false,
+   "cell": {
+    "hits": 1,
+    "n": 1,
+    "rate": 1.0,
+    "wilson_95": [
+     0.2065432914738929,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "Canada",
+   "in_subset_probe": true,
+   "same_category": true,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
+    "wilson_95": [
+     0.43849391955098227,
+     1.0
+    ],
+    "underpowered": true
+   }
+  },
+  {
+   "prime": "Brazil",
+   "probe": "China",
+   "in_subset_probe": true,
+   "same_category": true,
+   "cell": {
+    "hits": 3,
+    "n": 3,
+    "rate": 1.0,
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+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.717587411403656,
+     "says_concept_in_3": true
+    },
+    "ablate_Mars": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.7062629461288452,
+     "says_concept_in_3": true
+    },
+    "ablate_piano": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.6548494696617126,
+     "says_concept_in_3": true
+    },
+    "ablate_violin": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.6737428307533264,
+     "says_concept_in_3": true
+    },
+    "ablate_October": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.7260915637016296,
+     "says_concept_in_3": true
+    },
+    "ablate_silver": {
+     "produced": true,
+     "greedy_3": "Sunday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": true,
+     "greedy": "Sunday",
+     "concept_mass": 0.7234170436859131,
+     "says_concept_in_3": true
+    }
+   },
+   "gate_span": true,
+   "gate_first_token": true,
+   "gate_verbatim_p": false
+  },
+  {
+   "name": "sunday-3",
+   "category": "days of the week",
+   "concept": "Sunday",
+   "control": "Monday",
+   "source": "m1-new",
+   "in_subset": false,
+   "direction_key": "bare",
+   "mass_channel_eligible": true,
+   "cells": {
+    "clean": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.18766163289546967,
+     "says_concept_in_3": false
+    },
+    "ablate_Brazil": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.22744642198085785,
+     "says_concept_in_3": false
+    },
+    "ablate_Canada": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.2151477187871933,
+     "says_concept_in_3": false
+    },
+    "ablate_China": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.22103725373744965,
+     "says_concept_in_3": false
+    },
+    "ablate_Egypt": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.2825769782066345,
+     "says_concept_in_3": false
+    },
+    "ablate_France": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.17606382071971893,
+     "says_concept_in_3": false
+    },
+    "ablate_Japan": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.19786334037780762,
+     "says_concept_in_3": false
+    },
+    "ablate_Jupiter": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.18578940629959106,
+     "says_concept_in_3": false
+    },
+    "ablate_Mars": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.16641029715538025,
+     "says_concept_in_3": false
+    },
+    "ablate_piano": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.21044722199440002,
+     "says_concept_in_3": false
+    },
+    "ablate_violin": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.22421640157699585,
+     "says_concept_in_3": false
+    },
+    "ablate_October": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.15618915855884552,
+     "says_concept_in_3": false
+    },
+    "ablate_silver": {
+     "produced": false,
+     "greedy_3": "Monday<|im_end|>\n",
+     "residual": false,
+     "produced_first_token": false,
+     "greedy": "Monday",
+     "concept_mass": 0.2324386090040207,
+     "says_concept_in_3": false
+    }
+   },
+   "gate_span": false,
+   "gate_first_token": false,
+   "gate_verbatim_p": false
+  }
+ ]
+}
\ No newline at end of file

From 11bab32fbfa5d5d5acc3a4d88970b6c1657dcf7a Mon Sep 17 00:00:00 2001
From: ksdisch <kstan.disch@gmail.com>
Date: Wed, 29 Jul 2026 05:30:47 -0500
Subject: [PATCH 5/7] fix: run pytest in CI, and pin M4's own artifacts to M4's
 frozen code
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Both should-fix findings from PR #13's adversarial review.

F1 — CI executed each test file as a plain script (`uv run test_m4.py`).
With no `__main__` guard the files imported, defined their functions and
exited 0, so the workflow's rc only ever reflected import errors: CI has
run zero assertions since fdcbfcc, and this branch's 1,269-line test_m4.py
was the newly-unprotected surface while HANDOFF claimed the suite was
green. Now `uv run pytest -q "$f"` per file, keeping the per-suite log
grouping. Verified: the loop collects and runs all six suites, 396 cases.

F2 — every predecessor suite pins its own artifacts to its own module, a
convention M2 added after the M1 re-score JSONs silently kept publishing a
retracted ORACLE_WORDING sentence (test_m2.py:660). test_m4.py had dropped
it: nothing tied results/m4-strip-*.json to m4_strip.GATE_WORDING, the bar,
the prime roster, or strip_verdict()'s templates — so a later edit would
land green while three committed JSONs kept publishing the superseded
version that PROJECT/README/ROADMAP/HANDOFF/M4-BRIEF all quote. It matters
more at M4 than it did at M3 because M4 is the close-out: no successor
suite is scheduled to pin it. Four parametrized cases added — frozen
wording and constants, the two-generation re-certification and frozen plan
read off the artifacts themselves, the verdict re-derived byte-for-byte
from strip_verdict(), and every pre-registered n and ceiling. All held at
HEAD, so no re-run; a mutation check (bar 0.5 -> 0.55) fails 12 cases,
confirming the pins bite.

F3 and F4 (both nice-to-have) are recorded as follow-ups in HANDOFF, not
fixed here: honouring F3's frozen per-pair-texture clause would change the
artifacts and cost a re-run for a non-verdict-bearing readout, and F4 has
no reachable path.

Suite: 396 passed.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KkTj11WoNyTF9SGXvrxxVy
---
 .github/workflows/ci.yml |  8 +++-
 HANDOFF.md               | 26 ++++++++---
 test_m4.py               | 94 ++++++++++++++++++++++++++++++++++++++++
 3 files changed, 120 insertions(+), 8 deletions(-)

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index f08b26d..1bcb5ba 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -16,12 +16,18 @@ jobs:
       - uses: astral-sh/setup-uv@v8.3.0  # no floating v8 major tag exists
         with:
           enable-cache: true
+      # `uv run <file>` executes the module as a plain script. The suites are
+      # bare `def test_*` collections with no `__main__` entrypoint, so that
+      # form imported each file and exited 0 without running a single
+      # assertion — CI passed vacuously from fdcbfcc until PR #13's review
+      # caught it. pytest must be the thing invoked, per file so the
+      # per-suite log grouping still works.
       - name: Run all offline test suites
         run: |
           rc=0
           for f in test_*.py; do
             echo "::group::$f"
-            if ! uv run "$f"; then
+            if ! uv run pytest -q "$f"; then
               echo "FAILED: $f"
               rc=1
             fi
diff --git a/HANDOFF.md b/HANDOFF.md
index 8387328..8cd8f70 100644
--- a/HANDOFF.md
+++ b/HANDOFF.md
@@ -111,13 +111,25 @@ adversarial review before any merge.
 ## Open questions / blockers
 
 - **None blocking.** Every stage is closed.
-- **One known repo defect, out of M4's scope and deliberately not fixed here:**
-  `.github/workflows/ci.yml` runs `uv run test_<name>.py`, which executes each
-  test file as a plain script. No test file has a `__main__` guard, so the files
-  import, define their functions, and exit 0 — **CI passes vacuously and has
-  never actually run a test.** The suites do run under `uv run pytest` locally
-  (384 green). Fixing it is a one-line CI change (`uv run pytest`) and belongs in
-  its own PR; flagged to Kyle 2026-07-29.
+- **CI ran zero tests from `fdcbfcc` until 2026-07-29, now fixed** (PR #13
+  adversarial review, F1). `.github/workflows/ci.yml` looped `uv run test_<f>.py`,
+  which executes each file as a plain script; with no `__main__` guard the files
+  imported, defined their functions and exited 0, so the workflow's `rc` only ever
+  reflected import errors. It now runs `uv run pytest -q "$f"` per file, keeping
+  the per-suite log grouping — verified locally to collect and run all 396 cases.
+  Any green CI badge before that date certifies syntax, not behaviour.
+- **Two follow-ups from the same review, both nice-to-have, neither fixed:**
+  **(F3)** `m4_strip.GATE_WORDING["degeneracy"]` — byte-frozen with three
+  subjects' artifacts, so it cannot be edited — promises per-pair-cell degeneracy
+  texture "attached to the readout it compromises", but `strip_package()` computes
+  none and its `tokenizer` parameter is left unused (M3 computed exactly that).
+  Honouring it would change the JSONs and cost a ~50-minute re-run for a readout
+  that is pre-declared non-verdict-bearing at n ≤ 3; the write-up owes a
+  deviations-table row instead, and must not quote that clause as if the field
+  exists. **(F4)** `m4_strip.main()` re-parses the battery outside the
+  `try/except` that turns battery drift into a clean `VERDICT: INVALID`, so those
+  guards would raise a bare traceback rather than exit 2 — unreachable, since the
+  file cannot change between the two calls in one process.
 - **One conditional obligation survives:** S2's brief owes the
   `oracle._BOUNDARY` boundary-class decision before it freezes any non-ASCII
   list. M4 did not fire that trigger.
diff --git a/test_m4.py b/test_m4.py
index d8b0aca..2c7a27b 100644
--- a/test_m4.py
+++ b/test_m4.py
@@ -107,6 +107,21 @@
     },
 }
 LATE_THIRDS = {24: list(range(17, 22)), 28: list(range(19, 25)), 36: list(range(26, 33))}
+SUBJECT_LAYERS = {"qwen2.5-0.5b-instruct": 24, "qwen2.5-1.5b-instruct": 28,
+                  "qwen2.5-3b-instruct": 36}
+#: The published verdicts, quoted verbatim by PROJECT.md, README.md, ROADMAP.md,
+#: HANDOFF.md and docs/M4-BRIEF.md — pinned here so a later wording or constant
+#: edit fails the suite instead of orphaning the artifacts those docs cite.
+PUBLISHED_VERDICTS = {
+    "qwen2.5-0.5b-instruct":
+        "not shown (11/41 survive all 12 = 0.268; Wilson 95% lower 0.157)",
+    "qwen2.5-1.5b-instruct":
+        "VOCAB-SPARING (51/71 survive all 12 = 0.718; Wilson 95% lower 0.605) — "
+        "AS-SCORED ONLY (concept-level 24/41 = 0.585, lower 0.434)",
+    "qwen2.5-3b-instruct":
+        "VOCAB-SPARING (63/84 survive all 12 = 0.750; Wilson 95% lower 0.648) — "
+        "AS-SCORED ONLY (concept-level 26/43 = 0.605, lower 0.456)",
+}
 
 
 # --- fixtures over the recorded artifacts -------------------------------------
@@ -119,6 +134,10 @@ def _m3(subject):
     return json.load(open(f"results/m3-matrix-{subject}.json"))
 
 
+def _m4(subject):
+    return json.load(open(f"results/m4-strip-{subject}.json"))
+
+
 def _items():
     return load_strip_items()
 
@@ -1132,6 +1151,81 @@ def test_the_earlier_milestones_wordings_stay_byte_frozen_with_their_artifacts(s
     assert GATE_WORDING["oracle"] == oracle.ORACLE_WORDING  # the one shared rule
 
 
+@pytest.mark.parametrize("subject", SUBJECTS)
+def test_every_published_m4_artifact_carries_the_wording_it_was_produced_under(subject):
+    """The convention M2 added after it was burned (`test_m2.py`'s F14 note: the
+    artifacts silently kept publishing a retracted sentence because nothing was
+    looking), applied to M4's own runs. Without this, an edit to `GATE_WORDING`,
+    the bar, or the prime roster lands green while three committed JSONs keep
+    publishing the superseded version that every doc quotes. It matters more here
+    than at M3: M4 is the close-out, so no successor suite will pin it."""
+    protocol = _m4(subject)["protocol"]
+    assert protocol["gate_wording"] == GATE_WORDING
+    assert protocol["survival_lower_bound"] == SURVIVAL_LOWER_BOUND
+    assert protocol["cluster_floor_reference"] == m4_strip.CLUSTER_FLOOR_REFERENCE
+    assert protocol["primes"] == list(SUBSET)
+    assert protocol["cross_mention_pairs"] == [list(p) for p in CROSS_MENTION_PAIRS]
+    assert protocol["span_tokens"] == oracle.SPAN_TOKENS
+    assert protocol["min_n"] == MIN_N
+
+
+@pytest.mark.parametrize("subject", SUBJECTS)
+def test_the_published_runs_re_certified_two_generations_and_ran_the_frozen_plan(subject):
+    """The published re-certification (255/255 M1 and 468/468 M3 cells, ×3)
+    otherwise rests only on gitignored run logs. This asserts it from the
+    artifacts themselves, together with the frozen plan the cells were produced
+    under."""
+    run = _m4(subject)
+    assert run["milestone"] == "M4"
+    assert run["smoke_limit"] is None
+    assert run["environment"]["certified"] is True
+    assert run["lambda"] == m4_strip.STRIP_LAMBDA == 1.0
+    assert run["ablated_layers"] == LATE_THIRDS[SUBJECT_LAYERS[subject]]
+    assert run["protocol"]["cells_planned"] == 2340
+    assert sum(len(item["cells"]) for item in run["items"]) == 2340
+    assert len(run["items"]) == 180
+    for milestone, items, cells in (("m1", 180, EXPECTED_M1_CELLS),
+                                    ("m3", 36, EXPECTED_M3_CELLS)):
+        check = run[f"{milestone}_crosscheck"]
+        assert check["n_mismatches"] == 0
+        assert check["items_checked"] == check["items_expected"] == items
+        assert check["cells_checked"] == check["cells_expected"] == cells
+        assert check["mass_cells_equal"] == cells      # concept_mass exact too
+        assert check["gate_bearing"] is True
+
+
+@pytest.mark.parametrize("subject", SUBJECTS)
+def test_the_published_verdict_re_derives_from_the_frozen_precedence(subject):
+    """The verdict string is the thing every doc quotes, so it is pinned twice:
+    it must re-emit byte-for-byte from `strip_verdict()` on the run's own
+    recorded numbers, AND match the string this suite records as published."""
+    run = _m4(subject)
+    sparing = run["vocabulary_sparing"]
+    assert strip_verdict(
+        run["environment"]["certified"], sparing["degenerate_gate_arms"],
+        sparing["gate_arm"], sparing["conservative_reads"], run["smoke_limit"],
+    ) == sparing["verdict"] == PUBLISHED_VERDICTS[subject]
+
+
+@pytest.mark.parametrize("subject", SUBJECTS)
+def test_the_published_run_landed_every_pre_registered_number(subject):
+    """The power table was a cross-check, not a projection — pinned against the
+    run that had to reproduce it, not only against M1's recorded clean arm."""
+    expected, run = PRE_REGISTERED[subject], _m4(subject)
+    gate = run["vocabulary_sparing"]["gate_arm"]
+    assert run["competence"]["gate_span"] == expected["gated"]
+    assert gate["n"] == expected["arm"]
+    assert run["competence"]["gate_arm_concepts"] == expected["concepts"]
+    assert len(run["competence"]["zero_gated_non_subset_concepts"]) == expected["zero_gated"]
+    assert run["new_pool_arms"]["off_target"]["n"] == expected["new_pool"]
+    ceiling = run["gate_arm_ceiling"]
+    assert ceiling["cells_recorded_in_m1"] == expected["recorded_in_m1"]
+    assert ceiling["ceiling"] == expected["ceiling"]
+    # the dispositive arm never collapsed, so no verdict was withheld on it
+    assert run["vocabulary_sparing"]["degenerate_gate_arms"] == []
+    assert run["degeneracy_guard_wrong_opening"]["new_pool_off_target"]["collapsed"] is False
+
+
 def test_the_oracle_is_byte_shared_by_a_fourth_consumer():
     """The deviations-table row, pinned: `m4_strip.py` imports the rule rather
     than copying it, exactly as the first three consumers do."""

From 40e7c26e2571797168ee0f518db3a00a3f6e987b Mon Sep 17 00:00:00 2001
From: ksdisch <kstan.disch@gmail.com>
Date: Wed, 29 Jul 2026 05:38:47 -0500
Subject: [PATCH 6/7] fix: make the dry-run tests independent of the gitignored
 lens weights
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

F5 from PR #13's round-2 review — a defect the previous commit created.
Making CI really invoke pytest exposed that both dry-run tests pass
`--lens lenses/qwen2.5-0.5b-instruct-n100.pt` into the real `main()`,
which `torch.load`s the artifact before the `--dry-run` exit. Those
weights are gitignored by decision K3, so on a clean `actions/checkout`
the load fails, `main()` exits INVALID (2), and the tests assert 0 — the
branch would have turned a vacuously-green workflow into a
deterministically red one, while HANDOFF claimed the gate now works.

Both tests now supply the artifact synthetically via monkeypatched
`torch.load`. The guarantee under test is untouched: `from_pretrained`
still raises if the checkpoint is loaded, which is what the case is
actually about. `test_m3.py`'s copy is fixed too — pre-existing code, but
this branch is what puts it in front of a working CI gate. The rejected
alternative was `skipif(not lens.exists())`, which would green CI by
re-hollowing the guarantee the CI fix just restored.

Verified the way the reviewer reproduced it: exported tracked files only
(`git ls-files | tar`, so `lenses/` holds just PROVENANCE.md) and ran the
workflow's own loop there — 59/89/83/124/35/6 = 396 passed, rc=0.

Also F7 (nice-to-have, a false claim I introduced in the previous commit):
`PUBLISHED_VERDICTS`' comment said five docs quote those strings verbatim.
They do not — the docs paraphrase the numbers in their own prose, so no
doc edit could ever fail that test. Reworded to what the pin actually
does (code <-> artifact only). Fixed rather than deferred because it is a
one-line correction of an untrue statement about what a test guarantees,
which is the same class of drift test_m2.py:660 exists to prevent.

F6 (nice-to-have) is carried as a follow-up: the job named `offline-suites`
now really fetches four Qwen2.5 tokenizers from HuggingFace, so its name
and header comment overstate the offline claim. 390 of 396 pass with no
network at all. Fixing it means choosing between caching ~/.cache/hugging
face and adding a `network` marker to deselect — a workflow design call,
not a correctness fix.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KkTj11WoNyTF9SGXvrxxVy
---
 test_m3.py | 13 ++++++++++++-
 test_m4.py | 21 +++++++++++++++++----
 2 files changed, 29 insertions(+), 5 deletions(-)

diff --git a/test_m3.py b/test_m3.py
index 1e2c3c8..6d8a727 100644
--- a/test_m3.py
+++ b/test_m3.py
@@ -934,13 +934,24 @@ def test_a_dry_run_never_loads_the_checkpoint(monkeypatch, capsys):
     """PR #7 review F6's disposition, pinned: `m2_depth.main()` loaded the model
     before validating, so every `--dry-run` and every wrong-arm exit paid a full
     checkpoint load. The M3 cut validates first, so this test passes only
-    because no model was touched."""
+    because no model was touched.
+
+    The lens artifact is supplied synthetically rather than by repo path: the
+    `lenses/*.pt` weights are gitignored by decision K3, so a repo path makes
+    this case pass locally and fail on any clean checkout — which it did in CI
+    the moment PR #13 made the workflow really invoke pytest (that PR's review,
+    F5). The guarantee under test is unchanged: `from_pretrained` still raises
+    if it is called.
+    """
     def refuse(*args, **kwargs):
         raise AssertionError("the checkpoint must not load on a --dry-run")
 
     monkeypatch.setattr(
         m3_matrix.transformers.AutoModelForCausalLM, "from_pretrained", refuse
     )
+    monkeypatch.setattr(
+        m3_matrix.torch, "load", lambda *a, **k: {**_good_artifact(), "n_prompts": 100}
+    )
     monkeypatch.setattr(sys, "argv", [
         "m3_matrix.py", "--model-id", "Qwen/Qwen2.5-0.5B-Instruct",
         "--lens", "lenses/qwen2.5-0.5b-instruct-n100.pt", "--dry-run",
diff --git a/test_m4.py b/test_m4.py
index 2c7a27b..c1b6907 100644
--- a/test_m4.py
+++ b/test_m4.py
@@ -109,9 +109,11 @@
 LATE_THIRDS = {24: list(range(17, 22)), 28: list(range(19, 25)), 36: list(range(26, 33))}
 SUBJECT_LAYERS = {"qwen2.5-0.5b-instruct": 24, "qwen2.5-1.5b-instruct": 28,
                   "qwen2.5-3b-instruct": 36}
-#: The published verdicts, quoted verbatim by PROJECT.md, README.md, ROADMAP.md,
-#: HANDOFF.md and docs/M4-BRIEF.md — pinned here so a later wording or constant
-#: edit fails the suite instead of orphaning the artifacts those docs cite.
+#: The exact verdict strings the three committed artifacts publish. This pins
+#: code <-> artifact ONLY: the docs paraphrase these numbers in their own prose
+#: and contain none of these strings, so no doc edit can fail this test. Its job
+#: is that a later edit to the wording, the bar or the templates cannot land
+#: green while the JSONs keep publishing the superseded verdict.
 PUBLISHED_VERDICTS = {
     "qwen2.5-0.5b-instruct":
         "not shown (11/41 survive all 12 = 0.268; Wilson 95% lower 0.157)",
@@ -913,13 +915,24 @@ def test_a_non_positive_limit_is_wrong_arm_input(limit, monkeypatch, capsys):
 def test_a_dry_run_never_loads_the_checkpoint(monkeypatch, capsys):
     """PR #7 review F6's disposition, carried: a `--dry-run` or a wrong-arm exit
     must not pay for a checkpoint load. This passes only because no model was
-    touched."""
+    touched.
+
+    The lens artifact is supplied synthetically rather than by repo path: the
+    `lenses/*.pt` weights are gitignored by decision K3, so pointing `--lens` at
+    one makes this case pass locally and fail on any clean checkout — which is
+    exactly what it did in CI the moment PR #13 made the workflow really invoke
+    pytest. The guarantee under test is that the *checkpoint* never loads, and
+    that is unchanged: `from_pretrained` still raises if it is called.
+    """
     def refuse(*args, **kwargs):
         raise AssertionError("the checkpoint must not load on a --dry-run")
 
     monkeypatch.setattr(
         m4_strip.transformers.AutoModelForCausalLM, "from_pretrained", refuse
     )
+    monkeypatch.setattr(
+        m4_strip.torch, "load", lambda *a, **k: {**_good_artifact(), "n_prompts": 100}
+    )
     monkeypatch.setattr(sys, "argv", [
         "m4_strip.py", "--model-id", "Qwen/Qwen2.5-0.5B-Instruct",
         "--lens", "lenses/qwen2.5-0.5b-instruct-n100.pt", "--dry-run",

From d18a79d688f0337cbad5e0bf9caf8e11321f1578 Mon Sep 17 00:00:00 2001
From: ksdisch <kstan.disch@gmail.com>
Date: Wed, 29 Jul 2026 05:45:21 -0500
Subject: [PATCH 7/7] =?UTF-8?q?docs:=20correct=20the=20review=20record=20i?=
 =?UTF-8?q?n=20HANDOFF=20=E2=80=94=20three=20follow-ups,=20not=20two?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

F8 from PR #13's round-3 review. HANDOFF is this project's durable record
(a wiki sentinel per CLAUDE.md) and the review mailbox lives outside the
repo, so once this merges HANDOFF is the only in-repo account of the
review — and it had frozen at round 1.

- Three follow-ups, not two: F6 was accepted in round 2 and appeared
  nowhere in the repo. Recorded with the one line that matters
  operationally — the job named `offline-suites` now really fetches four
  Qwen2.5 tokenizer repos, 390 of 396 pass with no network, so a future
  red build there is network, not logic.
- Recorded that F5's fix edited `test_m3.py`, a closed milestone's suite,
  so a later M3 audit is not surprised by a post-PASS edit. Scoped
  explicitly: one test changed; m3_matrix.py, its frozen GATE_WORDING and
  its published artifacts are untouched.
- Replaced "verified locally to collect and run all 396 cases" with the
  stronger provable claim: CI is green on the real runner at 40e7c26.
- Refreshed the stale suite counts (test_m4.py 112 -> 124, suite 384 ->
  396) for the same reason.

Docs-only; no code, workflow or artifact change. Suite: 396 passed.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KkTj11WoNyTF9SGXvrxxVy
---
 HANDOFF.md | 31 +++++++++++++++++++++++++++----
 1 file changed, 27 insertions(+), 4 deletions(-)

diff --git a/HANDOFF.md b/HANDOFF.md
index 8cd8f70..da9aecd 100644
--- a/HANDOFF.md
+++ b/HANDOFF.md
@@ -21,7 +21,8 @@ the frozen `docs/M4-BRIEF.md` (D19–D22). Landed in one PR with its docs spine:
   DEGENERATE > UNDERPOWERED > the level bar, failing label the lineage null
   `not shown`) and the cross-subject AND over 1.5B and 3B. The runner imports it,
   so exactly one implementation of the pre-committed verdict string exists.
-- **`test_m4.py`** — 112 cases; the full suite is 384 and green.
+- **`test_m4.py`** — 124 cases (112 at first submission, +12 added at review);
+  the full suite is 396 and green, in CI as well as locally.
 
 **Results: VOCAB-SPARING at 1.5B AND 3B — AS-SCORED ONLY.** Of the gated items
 whose concept is outside M3's twelve, those surviving **all 12** deletions:
@@ -116,9 +117,21 @@ adversarial review before any merge.
   which executes each file as a plain script; with no `__main__` guard the files
   imported, defined their functions and exited 0, so the workflow's `rc` only ever
   reflected import errors. It now runs `uv run pytest -q "$f"` per file, keeping
-  the per-suite log grouping — verified locally to collect and run all 396 cases.
-  Any green CI badge before that date certifies syntax, not behaviour.
-- **Two follow-ups from the same review, both nice-to-have, neither fixed:**
+  the per-suite log grouping — and the workflow is **green on the real runner**
+  at `40e7c26` with all 396 cases genuinely collected and run. Any green CI badge
+  before 2026-07-29 certifies syntax, not behaviour.
+- **Making CI real immediately exposed a second defect** (same review, F5):
+  `test_a_dry_run_never_loads_the_checkpoint` in both `test_m3.py` and
+  `test_m4.py` passed `--lens lenses/<subject>.pt` into the real `main()`, which
+  `torch.load`s the artifact before the `--dry-run` exit — and those weights are
+  gitignored by decision K3, so the case passed locally and failed on every clean
+  checkout. Both now supply the artifact synthetically via monkeypatched
+  `torch.load`; the guarantee is unchanged (`from_pretrained` still raises if the
+  checkpoint loads). **Note for a later M3 audit: `test_m3.py` was edited in PR
+  #13, after M3 PASSED.** Only that one test changed; `m3_matrix.py`, its frozen
+  `GATE_WORDING` and its published artifacts are untouched — leaving M3's copy
+  broken would have left the shared CI gate red.
+- **Three follow-ups from the same review, all nice-to-have, none fixed:**
   **(F3)** `m4_strip.GATE_WORDING["degeneracy"]` — byte-frozen with three
   subjects' artifacts, so it cannot be edited — promises per-pair-cell degeneracy
   texture "attached to the readout it compromises", but `strip_package()` computes
@@ -130,6 +143,16 @@ adversarial review before any merge.
   `try/except` that turns battery drift into a clean `VERDICT: INVALID`, so those
   guards would raise a bare traceback rather than exit 2 — unreachable, since the
   file cannot change between the two calls in one process.
+  **(F6)** the CI job is still *named* `offline-suites` and its header comment
+  still claims no network, but now that pytest really runs, four Qwen2.5
+  tokenizer repos are fetched from `huggingface.co` on every push and PR
+  (`test_the_whole_sixty_word_roster_clears_both_bars_on_the_real_tokenizer` ×3
+  plus M3's roster test). 390 of 396 pass with no network at all. **A future red
+  build there is network, not logic.** The two remedies — cache
+  `~/.cache/huggingface`, or add a `network` marker and deselect it — trade off
+  against each other (the marker route stops exercising the real tokenizers,
+  which is the roster bar's whole point), so it is a workflow design call rather
+  than a correctness fix.
 - **One conditional obligation survives:** S2's brief owes the
   `oracle._BOUNDARY` boundary-class decision before it freezes any non-ASCII
   list. M4 did not fire that trigger.