Merge pilot recovery into the semantic simplex schema delivery
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# P0 execution report: 2026-10-28
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**Status: blocked by provider billing. No GO, PARTIAL or NO-GO decision.**
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The owner requested delivery of the fixes and this report now, with the remaining paid calls deferred.
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## What ran
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The owner explicitly authorized sending the 65 textbook passages and corresponding Lean code
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through the existing DashScope endpoint to `qwen-max`, at temperature 0 and a cumulative ceiling
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of 400 HTTP requests. The run issued **131 HTTP requests**. Provider responses accounted for
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**37,699 input tokens and 7,790 output tokens**, 45,489 total. These are recorded token counts,
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not an invoice or a monetary cost estimate. The client counted 89 received model responses;
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a received response is not necessarily a usable detector result.
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| Coverage | Count |
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|---|---:|
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| Original cohort | 65 |
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| Items with both detectors complete | 42 |
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| Items with one or both detectors missing | 23 |
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| Successful role-extraction/alignment components | 45 |
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| Successful judge components | 43 |
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| Missing role components | 20 |
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| Missing judge components | 22 |
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| Remaining request reservations | 269 |
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DashScope returned HTTP 400 with error code `Arrearage` and its overdue-payment reference.
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The first runner implementation recorded the failures and continued through the cohort, so
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65 saved rows did not mean 65 successful items. The scorer rejected these incomplete outputs.
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No partial-sample gate decision or performance comparison has been produced.
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## Inputs and labels
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The default `items.jsonl` export omitted `source_text`. All 65 original passages were recovered
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from the matching detection spans and checked byte-for-byte against the archived private
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`review.json`. Item IDs and Lean code were unchanged. The recovery tool also verifies every
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exported field against the archive, normalizing the archive's JSON-encoded imports field.
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Source-inclusive inputs and the regenerated labeling HTML remain in the ignored data directory.
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The owner replaced the planned Kimi/human labeling with Codex annotation. All 65 labels were
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frozen before the first detector request. They contain 30 faithful, 25 wrong, 7 minor drift and
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3 not-formalizable verdicts. This is one AI annotator, **not human gold**. The annotator saw the
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detector implementation and aggregate compilation counts, but not per-item compiler outcomes
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or detector outputs. Syntax/proof defects were ignored when the intended semantics were recoverable;
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no compiler or API-name audit was performed. Independent human auditing remains necessary before
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using these labels as evidence for paper-level claims.
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## Execution repairs
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- Empty passages and mismatched frozen inputs/labels are rejected before paid calls.
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- Each HTTP attempt reserves cumulative budget before sending, including transport and JSON retries.
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Model, endpoint, temperature, input/label/prompt hashes and cumulative token usage are persisted.
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- Billing/authentication errors now stop immediately, preserving partial results.
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- Resume keeps every successful detector component and retries only missing components. Existing
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rows are replaced atomically rather than duplicated. A budget stop also preserves completed work
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within the current item. A lock prevents concurrent writers.
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- `--audit-only` reconciles saved metadata without API calls. It confirmed 42 complete items,
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23 incomplete items, 42 missing components and 131 already-consumed request reservations.
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- Scoring requires complete results and unchanged frozen-label/result hashes. It restores the
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preregistered complementary-signal PARTIAL rule and uses wrong versus faithful for primary metrics;
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minor drift is included as positive only in the secondary comparison.
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- Detector prompts, matching thresholds, the concept table and frozen annotations were not tuned
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against these outputs. Recovery changes concern transport, persistence and accounting only.
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The private first-attempt output and metadata were backed up before reconciliation. The results
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hash and the frozen-label hash did not change during the offline audit.
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## Validation and next action
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149 offline unit tests passed, including billing-stop and partial-resume regressions; repository-wide
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Ruff and diff checks passed. These checks did not compile Lean or build Docker locally.
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The initial PR revision passed Python tests and real Lean validation on
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`ubuntu24.04-x64-lean4.35`, runner 7, in [CI #427](https://gitea.entroia.com/Zayden-Jung/lean-bench/actions/runs/427).
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The image job was skipped by the PR workflow. The recovery revision passed [CI #433](https://gitea.entroia.com/Zayden-Jung/lean-bench/actions/runs/433).
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The recovery changes from PR #6 are consolidated with the semantic schema and review page
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in PR #9; the combined head is checked separately there.
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After the owner confirms billing recovery, resume the existing run with the same inputs, frozen
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labels and cumulative budget. There are 42 missing components; retries may consume more requests.
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Do not change model or prompts to work around the provider block. Only after all 65 items have
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successful outputs should the scorer produce the registered decision and disagreement report.
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Phase 1 has not started.
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Tracked audit data: `experiments/P0-pilot/results/execution.json` (counts and hashes only).
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Private raw files: `experiments/P0-pilot/data/` (gitignored).
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@@ -2,7 +2,11 @@
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Experiment ID **P0**, Phase 0. Registry and conventions: [README.md](README.md).
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Status: **approved 2026-10-22; 65 AI labels frozen 2026-10-28; detector execution pending explicit data-transfer approval. No pilot API request has been sent.**
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Status: **approved 2026-10-22; 65 AI labels frozen 2026-10-28; detector run blocked by DashScope Arrearage after 131 requests. 42 items are complete, 23 need missing detector components. No gate decision has been issued.**
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The owner explicitly authorized sending the 65 passages and Lean code to DashScope/qwen-max,
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then requested fixes and an execution report now, with paid recovery calls deferred.
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Execution report: [P0 execution, 2026-10-28](P0-execution-2026-10-28.md).
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Owner amendment (2026-10-28, in the execution chat): Codex now handles preparation,
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annotation, detector execution and reporting; Kimi's participation is no longer required.
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