{"id":581,"job_id":1113,"problem_id":1,"lane_id":5,"type":"check","user_id":34,"model":"deepseek-v4-flash","provider":"deepseek","report_md":"# Job #1113 (check): return #469's package runs unchanged; the small-language law holds, the production arm is a byte-exact producer replay, and the pilot stays inconclusive\n\n**Outcome: pass** - one execution of the unchanged package at its declared invocation, exit 0, and my\nactual stdout is byte-identical to both the declared expected output and the author's own served\n`checked1110.out` (359 bytes, sha256\n`0493beb2349fb67e329db34b68f233f4b90c23fee7fea9c98d085f41346b16dd`).\n\n## Reconstruction\n\nFour manifest files fetched by SHA from `/files/<sha>` to their exact manifest relative paths, then\nre-read and re-hashed from disk:\n\n| role | path | bytes | sha256 |\n| --- | --- | --- | --- |\n| checker | `check1110.py` | 8149 | `76950d9ac7d40776…` |\n| input | `sample1110.py` | 9215 | `bd7d9fcd9f75aaf3…` |\n| input | `input1071.json` | 1751 | `daa5d6d095b5986b…` |\n| target | `pilot1110.json` | 3871 | `80ed8ab94864d806…` |\n\nOriginals are byte-identical after every control.\n\n## Environment\n\nDeclared: standard-library CPython 3.12+, assertions enabled, no network or external libraries, tested\non CPython 3.12.13 macOS 26.6.2 arm64. Observed: **Windows CPython 3.14.6, standard library only,\nassertions enabled**, no network after retrieval, exit 0, **19.132 s** wall, stderr empty. The\nauthor's own `final-checker-receipt.json` records 7.64 s for the same work, so my run is ~2.5x slower\non a newer interpreter with identical output bytes.\n\n**Windows newline note.** Python translates `\\n` to `\\r\\n` on text stdout; this single-line output\ngained exactly one CR. Normalised sha256 `0493beb2…` (identical to the expected and to the served\nartifact), raw sha256 `b5d89705…`. Both are uploaded, so the difference is checkable.\n\n## Does the checker consume the target?\n\n**At the declared invocation, yes - and it is pinned harder than any package I have checked today.**\nThe checker parses `pilot1110.json`, checks `draws_per_arm == 10` and `seeds == [111019, 111020]`,\nrecomputes each arm's exact `Fraction` mean and sample variance, the `<= 186` count and the tie count,\nthe `mean_difference`, the `unpaired_se`, and the `diagnostic_interval` as\n`[diff - 2.262*se, diff + 2.262*se]` under exact float equality, then derives the outcome from whether\nthat interval crosses zero. Finally it **imports the producer module and re-runs it with stdout\nredirected, asserting the captured bytes equal the target file byte-for-byte**, and prints the\ntarget's own sha256 (`80ed8ab9…`). So the target is not merely compared field-wise: it must reproduce\nthe producer's stdout exactly, and a pretty-printed copy of the same data is **rejected** (my C6, exit\n1). There is no semantic-equivalence tolerance here, which is why the byte comparison in this check is\nunusually meaningful.\n\nBut see the caveat in the controls: there is an invocation that reports `pass: true` without reading\nthe target at all.\n\n## What the check actually establishes\n\n* **The small-language probability law, independently.** `check_law()` builds its own literal\n  automaton oracle (states 1/2/4, words of length <= 8), enumerates all 1287 residue-count\n  compositions (n = 0..8 into 5 parts) and checks each against the oracle; 95 nonempty profiles yield\n  3280 literal words. For each profile it enumerates the possible trees itself, rejects cycles, and\n  builds exact `Fraction` probabilities, then expands every legal stack assignment - 84 tree patterns\n  and 170 stack cases - asserting each enumerated word has probability exactly `1/w`, and finally that\n  the mixture over the producer's weights equals the uniform law on the oracle's words. That is a real\n  independent derivation of the law, not a re-run of the producer's formula.\n* 94 assignment smokes exercising the entropy stream, `flow_draws`, `nonzero_word`, `add_zeros`,\n  `gaps_for_residues` and `full_checks` on small words, including two distinct actual values in one\n  residue class.\n* **The production arm is a byte-exact producer replay** (`sampler.main()`), which confirms the saved\n  target is what that module produces - not that the production run is correct or independent.\n* The claim's numbers are confirmed: `profiles_checked 1287`, `nonempty_profiles 95`,\n  `literal_words_checked 3280`, `stack_cases_checked 170`, `tree_patterns_checked 84`,\n  `assignment_smokes_checked 94`, `flow_example [1, 2, 1]`, `production_draws_replayed 20`,\n  `target_sha256 80ed8ab9…`, and `outcome inconclusive` - the registered diagnostic interval contains\n  zero, so the two-arm contrast is **not** resolved. This receipt accepts the finite implementation\n  and the arithmetic; it does not accept any premise, and it endorses no infinitude claim.\n\n## Controls (separate copies; originals preserved and re-verified)\n\n| control | edit / invocation | observed |\n| --- | --- | --- |\n| C1 | declared input `input1071.json` removed | `FileNotFoundError`, exit 1 - detected |\n| C2 | one production score +1 | `AssertionError`, exit 1 - detected |\n| C3 | target `outcome` relabelled `finite_contrast_success` | `AssertionError`, exit 1 - detected |\n| C4 | declared target `pilot1110.json` absent | `FileNotFoundError`, exit 1 - detected |\n| C5 | invoked as `check1110.py input1071.json` - **target never named or read** | exit **0**, prints `\"pass\": true` with the computed small-law counts - **NOT flagged** |\n| C6 | target re-serialised pretty-printed (same data, different bytes) | `AssertionError`, exit 1 - detected |\n\n**C5 is a real defect worth recording, though not one that affects this pass.** The target block is\nguarded by `if len(sys.argv) == 3`, but `result['pass'] = True` is set unconditionally at the end of\n`main()`. So with one argument the checker exits 0 and prints a green `\"pass\": true` having never\nopened the target. The registered command uses both arguments and I confirmed that path consumes the\ntarget fully; and the served `small-law-receipt.json` shows this mode is a deliberate,\nseparately-receipted invocation rather than a trick. The hazard is that `pass: true` is not qualified\nby which mode produced it: the no-target output omits `production_draws_replayed`, `target_sha256` and\n`outcome`, but a harness checking only the exit code or the `pass` field would read green with zero\ntarget verification.\n\nOne provenance wrinkle, also recorded rather than repaired: the served `small-law1110.out` (187 bytes)\ndoes **not** match what the final checker prints in that mode (214 bytes). It reports\n`profiles_checked: 95` and has no `nonempty_profiles` key, while the final checker reports\n`profiles_checked: 1287` plus `nonempty_profiles: 95` - i.e. it is a pre-revision artifact, consistent\nwith `final-checker-receipt.json`'s note that the final source bytes \"removed an incidental invisible\ncharacter and its no-op output cleanup\". The declared expected output is `checked1110.out`, which\nmatches my run exactly, so this does not affect the pass.\n\n## Shared components\n\nThe checker **imports `sample1110`**, the producer module, and uses its `weights`, `edges`, `walk`,\n`Entropy`, `flow_draws`, `nonzero_word`, `add_zeros`, `gaps_for_residues` and `full_checks`. The\nproduction arm is a literal byte-exact re-execution of that module, so it establishes reproducibility\nof the saved target rather than independent production. The genuinely independent content is the\nsmall-language side: its own literal automaton oracle, arrangements enumeration, tree/cycle\nenumeration and exact `Fraction` probability law - though even there the conversion from a stack\nassignment to a word is the producer's `walk`. The package's own docstring and `coverage_md` declare\nthis split honestly, and the launcher in `sample1110.py` is fixed by the manifest sha; a tampered\n`sample1110.py` would break the replay assertion.\n\n## Verdict\n\n`pass`, at the stated scope, from one run of the unchanged checker at its declared invocation with the\nrequired controls. The independent small-language law check passes, the target's exact statistics,\ninterval and outcome reproduce, and the target is byte-pinned to the producer's output. Residual\nobligations, stated rather than hidden: the production arm is a producer replay (shared source and\nRNG); the outcome is an inconclusive null; the `pass: true` field is unconditional and one invocation\nmode never reads the target; and the served `small-law1110.out` is a superseded artifact. Excluded as\nthe package declares: all-size software proof, arithmetic custody/exchangeability, causal inference,\nexact confidence/power guarantees, A1/exponent/infinitude and any x23 result. This is a worker-reported\nexecution receipt, not a mathematical verdict.\n","patch":null,"cpu_hours":0.011,"hashes":{"check1110.stdout.out":"0493beb2349fb67e329db34b68f233f4b90c23fee7fea9c98d085f41346b16dd","check1110.stdout.raw-crlf.out":"b5d89705fbe1fc05055c8fc803921ef6761b4bfbbfeb20fc40a7ddca8a7cdec7"},"author_rung":null,"status":"recorded","final_rung":"recorded","created_at":"2026-09-15T11:17:42.336Z","repo_url":null,"commit":null,"cites":null,"tokens":{"log":"custom","input":111974,"models":{"deepseek-v4-flash":30926},"output":30926,"source":"custom-jsonl","entries":1,"cache_read":6315008,"cache_write":0,"observed_models":["deepseek-v4-flash"]},"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":"max","also_fix":null,"transcript_omitted":{"share":0,"omitted":0,"outputs":0},"patch_hash":null,"superseded_by":null,"duplicate_of":null,"transcript_resubmitted_at":"2026-09-17T23:14:32.622Z","file_notes":null,"research":null,"research_route_id":null,"verification_plan":null,"verification_fingerprint":null,"review_admitted_at":null,"department_id":"dept_9e3c846778a19c71137dde42","run_id":"run_1b555656cba19bf7bbd26ca5","triage_lead":null,"revision_base_sha":null,"integration":null,"resolves":null,"handle":"maxime-fleury","job_brief":"Reconstruct the immutable package from GET <project base>/return/469 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: \"6b925b20da4b6bfe8cb95939f6e19a399faca5d8c46fb2c6906792646a6dc1b0\", 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/581/transcript","files":[{"sha256":"0493beb2349fb67e329db34b68f233f4b90c23fee7fea9c98d085f41346b16dd","name":"checked1110.out","bytes":359},{"sha256":"b5d89705fbe1fc05055c8fc803921ef6761b4bfbbfeb20fc40a7ddca8a7cdec7","name":"check1110.stdout.raw-crlf.out","bytes":360}],"decided_by_author_handle":false,"reviews":[],"decisions":[],"decision":null,"duplicates":[],"cited_messages":[]}