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Results index

The project is closed (2026-09-14). This index is its final map.

Navigation only. Each stage lists its dates, question, verdict, report, where its data lives, and the checkpoint it used or produced. Narrative: PROJECT_SUMMARY_THROUGH_U6.md. Claims and caveats: ../FINDINGS.md.

Committed data lives in results/ and plots/. Raw run directories live in runs/, which is git-ignored and exists only on the development machine. Weights are never in git; their SHA-256 digests are in results/checkpoint_manifest.json (§ Checkpoints).


Stages

stage dates question verdict report committed data raw runs (not committed) checkpoint
Act I 2026-08-24 Can Qwen3.5 learn token denoising with LoRA? plumbing works; copy collapse; AR destroyed without an AR term EXPERIMENTS.md — runs/exp002-*, exp003-*, exp004-*, dev-overfit —
Act II / v0.2 / Phase 3 2026-08-25 Does a shared-weight bidirectional Gated DeltaNet help? rejected BIDIRECTIONAL_DELTANET.md, ../RESEARCH.md — runs/p3-A…E, v02-* —
Act III 2026-08-25 Does a FLARE-style AR + diffusion objective give a healthy denoiser? 6/7 criteria → recorded failure (healthy denoiser) ACT3_JOURNAL.md, ACT3_CRITERIA.md — runs/act3-main runs/act3-main/checkpoint
Act IV-N 2026-09-01 Does a structured corruption alphabet help? paused before Stage 2 its documents and code are in stash@{0}, not in this working tree (see AGENTS.md) — runs/act4-stage1-* —
Act IV-U 2026-09-03 Can a Uno-style adapter on a frozen 4B model draft blocks the model accepts? ALGORITHMIC SIGNAL, NO SPEEDUP act4u_results.md, criteria — runs/uno-stage0, uno-baseline, uno-k4-true, uno-k4-shuffled*, uno-compare, uno-bench runs/uno-k4-true
Act IV-U2 2026-09-03/04 Does transactional verification remove the replay forward? TRANSACTIONAL SPEEDUP ACHIEVED act4u2_results.md, criteria — runs/uno-bench/u2_transactional.json, runs/uno-draftability runs/uno-k4-true (the Act IV-U adapter; recorded in provenance.adapter)
Act IV-U3 2026-09-04 Does acceptance, then speed, scale with training? ACCEPTANCE AND SPEED SCALE act4u3_results.md, criteria results/act4u3/ runs/u3a runs/u3a/step-3200
Act IV-U4 2026-09-04/05 How far can the parallel horizon go? K4 IS THE PRACTICAL FRONTIER act4u4_results.md, criteria results/act4u4/ runs/u4a, u4b, u4b1, u4b2-k6, u4b2-k8, u4-calib runs/u4b1/step-16000 (best K=4); runs/u4a/step-12800
RPRM Stage 1 2026-09-08 Does denoiser uncertainty justify adaptive early exit? STOP ../RPRM_DIFFUSION_STAGE1_RESULTS.md, prereg results/rprm_stage1/ — runs/u4b2-k8/step-16000 (primary), runs/uno-k4-true (replication)
Act IV-S 2026-09-13 The speculative decoder: baseline, K sweep, correctness, controls, context, adaptive K K=4 STANDS. ADAPTIVE K FAILS. TWO OF THE APPARENT WINS WERE ARTIFACTS. RESULTS_SPECULATIVE.md, design, state recovery results/speculative/ (raw rows, CSVs, divergence audits), plots/speculative/ runs/spec-*.log runs/u4b1/step-16000 (frozen)
Act IV-U5 2026-09-13 (run), 2026-09-14 (scored) Does longer-horizon training make a better K=4 drafter? U4 OBSERVATION WAS NOISE; NO CROSS-HORIZON TRANSFER also holds act4u5_results.md, criteria + A1–A4, design results/act4u5/ (incl. raw/, provenance/) runs/u5/ start runs/u4a/step-12800; arms runs/u5/{A_k4,B_k6,C_k8,D_curr}/step-16000; replicates runs/u5/{A_k4_r2,A_k4_r3,C_k8_r2}/step-16000
Act IV-U6 2026-09-14 Does decoupling draft width from verify width speed up the decoder? VERIFY COST DOMINATES act4u6_results.md, criteria, design results/act4u6/, plots/act4u6/ runs/u6-*.log runs/u4b1/step-16000 (frozen)

Where each headline number comes from

claim artifact
K=4 1.245× native AR (60.32 vs 48.46 tok/s) results/speculative/main_ksweep.json (raw rows); main_ksweep_summary.csv
K=4 1.230× on loop-free text results/speculative/main_ksweep_summary_clean.csv
reproduced 1.248× and 1.238× main_controls_summary.csv, main_adaptive_summary.csv
K=1/2/8/16 speedups, survival curve main_ksweep_summary.csv, main_ksweep_survival.csv
759 divergences, all within one bf16 ULP results/speculative/main_*_divergence_audit.json
1.24% of positions are exact bf16 ties results/speculative/main_baseline.json → tie_rate
loop fractions 0.18 / 0.50 results/speculative/main_degeneration.json
n-gram and refinement controls results/speculative/main_controls.json, main_controls_summary(_clean).csv
context scaling 1.444× → 1.118× decode-only results/speculative/main_context.json, main_context_summary.csv
adaptive K best 1.230× vs fixed 1.238× results/speculative/main_adaptive.json, main_adaptive_summary(_clean).csv
U5 endpoint paired changes results/act4u5/raw/eval_endpoints.json → transfer; u5_transfer.csv
U5 every checkpoint vs matched control results/act4u5/u5_matched_step_pairing.json
U5-5 cacheless losslessness (13/15) results/act4u5/u5_losslessness.json
launch spread (A 0.976–1.029; C 0.988 / 1.083) results/act4u5/raw/eval_replicates.json; u5_supplementary_robustness.json
replicate launches identical results/act4u5/u5_replicate_provenance.json, u5_replicate_check.json, provenance/
A1 launch divergence at step 12810 results/act4u5/provenance/a1_launch_overlap.txt
U5 training record and stop conditions results/act4u5/u5_training_summary.json
U4 K=4 1.195×, K=8 0.910× K=4 results/act4u4/u4_summary.json and CSVs
U3 1.056× → 1.168× results/act4u3/u3_summary.json and CSVs
RPRM +0.022 AUROC results/rprm_stage1/analysis_primary.json
U6 staged arms −1.6% to −9.0% vs K=4 results/act4u6/u6_scores.json → arms; raw rows results/act4u6/decisive.json
U6 floor 1.0% results/act4u6/floor.json (from calibrate.json)
verify forward 20.1 ms + 0.80 ms/token results/act4u6/cost_curve.json → verify_fit_2_to_9
wider draft does not change slots 1–4 results/act4u6/diagnostic_wide_draft.json
staging commits identical per-cycle tokens across V results/act4u6/decisive.json rows committed_per_cycle

Act I–III and Act IV-U/U2 numbers are backed by run directories in runs/, each with a run_metadata.json or equivalent. They were never committed; that is a gap for publication and is recorded as one.


Checkpoints

Full digests: results/checkpoint_manifest.json. Base model: unsloth/Qwen3.5-4B-Base, snapshot 61541fe4aed37b6a1e615edd5cbf5a3f660312b1, bf16, 4,205,751,296 parameters, backbone digest 7cd0f5a9… (not redistributed).

id path role adapter sha256 (prefix)
act4s_u6_drafter runs/u4b1/step-16000 best K=4 drafter; frozen for Act IV-S and Act IV-U6 8200c339d3d47363
u5_shared_start runs/u4a/step-12800 K=4 saturated; Act IV-U5 start 8332986b8a411f58
rprm_primary runs/u4b2-k8/step-16000 U4 arm B2; RPRM primary 284f00ed247d85cf
rprm_replication runs/uno-k4-true Act IV-U K=4; RPRM replication 37cc5f8e6c258d47
act4u3_endpoint_k4 runs/u3a/step-3200 U3 endpoint abc82b17ffc3bc39
u5_A_k4, u5_B_k6, u5_C_k8, u5_D_curr runs/u5/*/step-16000 U5 arms 177f4b0c…, ef8a2feb…, e38e960e…, f0465a5a…
u5_A_k4_r2, u5_A_k4_r3, u5_C_k8_r2 runs/u5/*/step-16000 U5 replicate launches 5958319a…, a55cce21…, e2588a5c…

Published adapter. Only act4s_u6_drafter, the adapter behind every speed claim, is published. It is a GitHub release asset under tag diffusion-specdecode-v0.1, as qwen3.5-4b-base-diffusion-drafter-u4b1-step16000.safetensors (84,966,094 bytes, SHA-256 8200c339d3d47363a3920fc4aca58f3535fc8bf75be431e35204f374700a4f42). Release notes: RELEASE_NOTES_diffusion-specdecode-v0.1.md.

The other checkpoints are listed for provenance only and are not published. Weights never go into git history, and optimizer state stays local.