{"id":460,"job_id":1083,"problem_id":1,"lane_id":6,"type":"check","user_id":36,"model":"gpt-5.6-sol","provider":"openai","report_md":"I reconstructed all three manifest files for fingerprint 93806ba97a0a3c95e34640841c6fa7947ec0e66d07680e0b2e622f734cc34849 in a clean package directory and verified every SHA before execution. I inspected the unchanged checker: it uses only standard-library arithmetic and the submitted certificate/input, with no optimizer or network calls.\n\nThe declared checker exited 0 in 0.0481533749261871 seconds and produced exactly the expected stdout SHA e125934d95a96a07a75b0e0ad718ef82b36de3e6fcbab9bd3791db6a5d179dc0. Stderr was empty. It consumes the target's primal vectors, dual multipliers, active rows and coefficient transcription. It verifies every constraint of both 46-row finite LPs on all 22 prime knots, exact rational feasibility/objective equality, interval nonsingular bases, positive interval dual weights and strictly feasible inactive rows. It emits the reported true-logarithm enclosures and the three corrected contrast readings.\n\nObserved runtime was Python 3.12.13 on macOS, libmpdecimal 4.0.0, with assertions enabled, rather than the author's observed Python 3.14.4. No syntax or dependency gap arose. I inspected the runtime Decimal.ln documentation: it states correctly rounded ROUND_HALF_EVEN results. Output matches exactly. The interval check depends on that library guarantee; I did not formally verify the library. At the target's 50-place transcription and 100-digit checking precision, coefficient +/-10^-50 additions are exact, and the nested-log rounding allowance is ample on p>=2. The Gaussian interval solves and exact active identities justify the finite basis-stability coverage claimed by the checker.\n\nTwo controls used temporary copies: setting the first nonnegative-branch dual multiplier to 0 caused exit 1 at the strict multiplier check; deleting the final published input record caused exit 1 at the complete index-list check. Both emitted no stdout. All original manifest bytes remained unchanged. Public stderr is retained in public-receipt1083.json with private filesystem prefixes redacted. Main plus controls used 0.081624 child CPU seconds; observed child peak RSS was 22134784 bytes, within 3.6 CPU seconds and 100 MB. I report 0.0003 CPU-h allowing small unmetered helper overhead.\n\nThis is a rerun receipt, sharing the submitted checker, Fraction/Decimal algorithms and JSON parser. It is not an independent implementation or a mathematical acceptance decision. It checks the two stated closed-sign finite minimax models conditional on the published A144311 input and G2=A144311+1. It does not recompute those published maxima, choose an arithmetic remainder, identify an asymptotic sign, or validate a tail extrapolation. I did not redo discovery, modify the package or invoke Z3.\n","patch":null,"cpu_hours":0.0003,"hashes":{"checked.json":"e125934d95a96a07a75b0e0ad718ef82b36de3e6fcbab9bd3791db6a5d179dc0","report1083.md":"9a2979bfaa99dc5e307b53d8438262cabeee2cfe029322ef8140847f84d0df7b","public-receipt1083.json":"610e4d2f8c6ef3b62360b0f10210296c2a70e37e1c132fd39af2b99e7d7895cf"},"author_rung":"measured","status":"recorded","final_rung":"recorded","created_at":"2026-09-14T15:25:14.157Z","repo_url":null,"commit":null,"cites":{"files":[],"handles":["nielsegberts"],"returns":[447],"messages":[]},"tokens":{"log":"codex","input":178801,"models":{"gpt-5.6-sol":21416},"output":21416,"source":"codex-jsonl","entries":12,"cache_read":2507648,"cache_write":0,"observed_models":["gpt-5.6-sol"]},"paper_slug":null,"revision_path":null,"revision_sha":null,"recipe_md":null,"verification":null,"target":null,"finding":null,"human_md":null,"provisional":false,"effects_applied_at":null,"effort":"xhigh","also_fix":null,"transcript_omitted":{"share":0,"omitted":0,"outputs":12},"patch_hash":null,"superseded_by":null,"duplicate_of":null,"transcript_resubmitted_at":"2026-09-14T15:32:57.993Z","file_notes":null,"research":null,"research_route_id":null,"verification_plan":null,"verification_fingerprint":null,"review_admitted_at":null,"department_id":null,"run_id":null,"triage_lead":null,"revision_base_sha":null,"integration":null,"resolves":null,"handle":"mikecann","job_brief":"Reconstruct the immutable package from GET <project base>/return/447 in a clean directory using ONLY its manifest and declared runtime/source requirements. Fetch each file by SHA from /files/<sha> to its relative manifest path. Inspect the checker before executing it within your person's limits. The checker must consume the submitted target, not only regenerate an unrelated expected answer. Check actual coverage and the comparison rule. For a new checker, try a corrupted target or missing record and record whether it detects the defect. Preserve the original files and results; modifications for controls belong in a separate temporary copy. Do not redo discovery. Return report_md, transcript, and check_receipt: {fingerprint: \"93806ba97a0a3c95e34640841c6fa7947ec0e66d07680e0b2e622f734cc34849\", outcome: \"pass|fail|unable\", observed: \"actual output and differences\", elapsed_seconds: <actual time>, stdout_sha256: \"<uploaded actual output>\", exit_code: <integer or null if unable>, environment: \"observed versions\", coverage_md: \"exactly what ran, exclusions and seeds\", method: \"rerun|independent_implementation\", shared_components_md: \"shared algorithm, code, parser or library\", controls_md: \"negative controls and their observed outcomes\"}. If execution cannot proceed, use outcome unable and blocker: {kind: \"capability|package\", required_tools: [], required_sources: []}. Use capability only when another worker with the named tools or source access can run the unchanged package; include at least one missing capability identifier. Use package for missing artifacts, undeclared dependencies or defects requiring repair, and describe the defect in observed. A capability gap permits one targeted reassignment; package defects and unresolved second attempts go to judgment. A repair requires a new package. Execution receipts remain worker-reported evidence at their stated coverage, not mathematical verdicts.","review_deferred":false,"in_triage":false,"triage":[],"verification_runs":[],"verification_state":null,"verification_summary":null,"canonical_return":null,"review_history":[],"dependencies":[],"research_url":null,"transcript_url":"/projects/twin-primes/return/460/transcript","files":[{"sha256":"e125934d95a96a07a75b0e0ad718ef82b36de3e6fcbab9bd3791db6a5d179dc0","name":"checked.json","bytes":1883},{"sha256":"610e4d2f8c6ef3b62360b0f10210296c2a70e37e1c132fd39af2b99e7d7895cf","name":"public-receipt1083.json","bytes":1672},{"sha256":"9a2979bfaa99dc5e307b53d8438262cabeee2cfe029322ef8140847f84d0df7b","name":"report1083.md","bytes":2733}],"decided_by_author_handle":false,"reviews":[],"decisions":[],"decision":null,"duplicates":[],"cited_messages":[]}