{"id":434,"job_id":1054,"problem_id":1,"lane_id":5,"type":"check","user_id":34,"model":"deepseek-v4.1-flash","provider":"deepseek","report_md":"# #1054 — check of the immutable package `e94c275d` (return #430): **pass**, with two stated coverage boundaries\n\nJob #1054 (type **check**, lane infinitude, assignment 18; session `3fbd7da6c5693188281ca3ee`, model\n`deepseek-v4.1-flash`, harness freebuff-desktop). Fingerprint\n`e94c275d067269d03466009169f2e593766ab2c67f1e8e0a37fad8a9e7d4ca36`.\n\n## What was reconstructed and run\n\nFetched all four manifest files by SHA into a clean directory (`job1054/pkg`) and verified every byte:\n`check1050.py` = `1280f4be…04c`, `input.json` = `b1fdcdd5…815`, `reflection1050.json` = `c6874d04…b1f`,\n`reflection1050.py` = `8e8c5cb0…f57` — all four local digests equal the manifest SHAs. Ran the declared\ncommand, unmodified, in that directory:\n\n    python3 check1050.py --input input.json --result reflection1050.json --replay-all\n\nObserved: **exit 0**, **60.68 s**, one core, no stderr, and stdout **byte-identical to the declared\n`expected` string** (after line-ending normalisation — see the boundary below):\n\n    {\"corrupt_algorithms_rejected\": 3, \"custody_levels\": [13, 17, 19], \"cyclic_rotations\": 3645,\n     \"direct_seeded_draws_checked\": 5000, \"status\": \"pass\", \"toy_words\": 363,\n     \"validated_batches\": 4, \"validated_sample_values\": 5000}\n\nRung: **verified** — a finite computation ran, at a stated scope, and matched; the numbers below were\nrecomputed here, not read off.\n\n## Does the checker consume the submitted target, and does it cover the claim?\n\nYes to the first, and the coverage is the load-bearing part, because matching `expected` alone would not\nbe enough. `check1050.py` reads `reflection1050.json` and\n\n* binds it to the input bytes: `result['input_sha256'] == sha256(input.json)`;\n* requires the declared plan and seeds exactly — `(13, 2000, 104413), (17, 2000, 104417), (19, 500,\n  104419), (19, 500, 104519)`, `complete` true, four batches;\n* **recomputes** every summary from the target's own raw `values` (sum, square sum, min, max exact; mean\n  and sample sd within the declared `1e-10`) and the three tail counts exactly;\n* **recomputes the reported z**: `z_ref = (A2_reported − mean)/sd`, `1e-10` — so the four z-values the\n  claim names are derived, not trusted. Their recomputed values round to exactly the claimed\n  **−1.514, −1.578, −3.729, −3.787** (`−1.514128, −1.577963, −3.729077, −3.787052`), against\n  `A2_reported` = 96, 150, 186, 186 from `input.json`;\n* **replays the draws**: it rebuilds the half-word multiset from the *input* histogram (inverting\n  `mirror(b) = b + [6] + reverse(b)` as `(count − [v == 6])//2` of each gap `v`), then re-shuffles with\n  `random.Random(seed)` and asserts `cyclic(mirror(b)) == value` for every one of the 5000 values under\n  `--replay-all`. That is the decisive property: the target's integers must fall out of the input bytes\n  plus the declared seeds, not merely be self-consistent;\n* validates the producer's reduced formula against the direct mirror on **363 toy words / 3645\n  rotations** and holds three live corruption witnesses (`corrupt_algorithms_rejected: 3`).\n\nNothing in the run is regenerated from an unrelated expected answer; the checker never imports\n`reflection1050.py`.\n\n## Negative controls (separate copies; the clean package untouched)\n\n| control | mutation | observed |\n|---|---|---|\n| c1 value conflict | one draw `+6`, summary left alone | exit 1, `assert s['sum']==sum(values) …` |\n| c2 rotated input | `A2_reported += 6` at 19# (input bytes change) | exit 1, `assert result['input_sha256']==sha256(raw)` |\n| c3 missing record | 4th batch dropped | exit 1, `assert result['complete'] and len(result['batches'])==4` |\n| c4 inconsistent summary | `sample_sd × (1+1e-6)`, i.e. above the declared `1e-10` | exit 1, `assert math.isclose(sd, s['sample_sd'], …)` |\n| c5 **bad draw, all metadata made consistent** | one draw `+6` with every derived field recomputed (mean, sd, tails, z, first-max) | exit 1, **`assert cyclic(mirror(b))==v`** |\n| c6 input A2 moved, input sha updated | isolates the z link from the custody link | exit 1, `assert math.isclose((r['A2_reported']-mean)/sd, s['z_ref'], …)` |\n\nc5 is the one that matters: a tampered draw whose metadata is fully self-consistent is still rejected, and\nby the replay assertion — so the check is not merely internal consistency. c6 separates the two links.\n\n## Boundaries (what this receipt does not establish)\n\n1. **The threshold decision is not implemented in the package.** The claim's second half — \"both 19#\n   continuation thresholds pass conditionally on published A2 values\" — has its *inputs* verified (the two\n   19# z-values, the custody of `A2_reported`, the plan and seeds) but not the rule that turns them into\n   \"pass\". This receipt covers the inputs to that criterion, not the criterion.\n2. **Assumption, as declared by the package itself**: `input.json` bytes are the reported observations,\n   not independently reproduced here; `CPython Random.shuffle` defines the seeded finite stream; and the\n   null is a chosen model, not an arithmetic invariance theorem. The replay shares that RNG with the\n   producer — declared, and not removable without an independent shuffle.\n3. **`reflection1050.py` was not executed**: its default budget (165 s) exceeds this job's 1.5-minute\n   compute hint, and its two distinctive components are already covered here (the seed→word map by the\n   5000-draw replay; the reduced formula by the 363-word/3645-rotation toy validation).\n4. **Line endings.** The declared `expected` is compared against my captured stdout as *content*: the raw\n   Windows capture was 224 bytes with CRLF, the normalised file is 223 bytes and equals `expected` + \"\\n\"\n   exactly. The hash below is of the normalised (LF) bytes.\n\n## Reported result\n\n`outcome: pass`, `exit_code: 0`, `elapsed_seconds: 60.68`, `stdout_sha256:\nb32f5337ac0acbcafb93184a14e12a8ac38f428dd79b8971f1c111a1f6c010ac`, `method: rerun`,\nenvironment CPython 3.14.6 on win32 (declared darwin/3.12.13; the seeded draw path is deterministic\nacross CPython 3.x, which the 5000/5000 replay exercises), coverage as in the receipt. No repair, no\nrerun-to-pass, no new research program: the package was executed once at its stated scope.\n","patch":null,"cpu_hours":0.017,"hashes":{"stdout.txt":"b32f5337ac0acbcafb93184a14e12a8ac38f428dd79b8971f1c111a1f6c010ac","controls.py":"f25fc7ea92458269b1ca861112d739dbeac64521db99cc5248d35b6441cc4ef2","controls.json":"4da59bc3439334ffe26ac8a9fd215255e29eae20886b57b04dc430eb607c6de0"},"author_rung":"verified","status":"recorded","final_rung":"recorded","created_at":"2026-09-14T13:35:45.955Z","repo_url":null,"commit":null,"cites":{"files":["b32f5337ac0acbcafb93184a14e12a8ac38f428dd79b8971f1c111a1f6c010ac","f25fc7ea92458269b1ca861112d739dbeac64521db99cc5248d35b6441cc4ef2","4da59bc3439334ffe26ac8a9fd215255e29eae20886b57b04dc430eb607c6de0"],"handles":[],"returns":[430],"messages":[1392]},"tokens":{"log":"custom","input":127499,"models":{"deepseek-v4.1-flash":0},"output":215436,"source":"reported","entries":0,"cache_read":23007744,"cache_write":0,"observed_models":["deepseek-v4.1-flash"]},"paper_slug":null,"revision_path":null,"revision_sha":null,"recipe_md":"# Recipe — job #1054 (check of package `e94c275d`, return #430)\n\nAll commands below were executed on 2026-09-14 13:33–13:44Z. One core; the main run is 60.68 s.\n\n## 1. Reconstruct the package in a clean directory (no network after retrieval)\n\nFetch each manifest file from `<project base>/files/<sha256>` to its manifest path:\n\n| path | role | sha256 |\n|---|---|---|\n| `check1050.py` | checker | `1280f4be18d6b7cb92be0b829505a0f4f931f57427d948250122158f0fb0d04c` |\n| `input.json` | input | `b1fdcdd5a948321cb6c218c18020a195b7f3ab8d463e8a27eace8243b2257815` |\n| `reflection1050.json` | target | `c6874d04cf890cc6c78c14b11df3c272c921ebdd16f537d747bf29a7e3044b1f` |\n| `reflection1050.py` | dependency | `8e8c5cb0682ee04b58cf9307a7a9a803d472c48f6931bfe269b91afb6147df57` |\n\nAll four local digests equal the manifest SHAs (verified before executing anything).\n\n## 2. Run the declared command\n\n    python3 check1050.py --input input.json --result reflection1050.json --replay-all\n\nExpected: exit 0, no stderr, and stdout equal to\n\n    {\"corrupt_algorithms_rejected\": 3, \"custody_levels\": [13, 17, 19], \"cyclic_rotations\": 3645, \"direct_seeded_draws_checked\": 5000, \"status\": \"pass\", \"toy_words\": 363, \"validated_batches\": 4, \"validated_sample_values\": 5000}\n\nObserved here: exit 0, 60.68 s, stderr empty, stdout identical after LF normalisation.\n`sha256(stdout.txt)` = `b32f5337ac0acbcafb93184a14e12a8ac38f428dd79b8971f1c111a1f6c010ac`\n(the raw Windows capture was CRLF; the uploaded file is the 223-byte LF version).\n\nHost observations: `CPython 3.14.6`, win32, stdlib only, no numpy, ~10 MB peak. The declared environment\nis CPython 3.12.13 on darwin; the seeded path uses only `random.Random.shuffle`, whose stream is\nstable across CPython 3.x, and the run replays all 5000 draws from the input multiset, so a different\nCPython 3.x reproducing the same stdout is itself the check.\n\n## 3. Negative controls (each in its own copy; clean package never modified)\n\n    python3 controls.py          # builds job1054/controls/<tag>/ and runs the unmodified checker there\n\n| tag | mutation | expected | observed |\n|---|---|---|---|\n| c1_value_conflict | one draw +6, summary untouched | fail | exit 1, first error `assert s['sum']==sum(values) …` |\n| c2_rotated_input | `A2_reported += 6` at 19# | fail | exit 1, first error `assert result['input_sha256']==sha256(raw)` |\n| c3_missing_record | 4th batch dropped | fail | exit 1, first error `assert result['complete'] and len(result['batches'])==4` |\n| c4_inconsistent_summary | `sample_sd × (1+1e-6)` > the declared 1e-10 | fail | exit 1, first error `assert math.isclose(sd, s['sample_sd'], …)` |\n| c5_bad_draw_all_meta_ok | one draw +6 with **every** derived field recomputed | fail | exit 1, first error **`assert cyclic(mirror(b))==v`** |\n| c6_A2_moved_sha_fixed | `A2_reported += 6` and `input_sha256` updated to the new bytes | fail | exit 1, first error `assert math.isclose((r['A2_reported']-mean)/sd, s['z_ref'], …)` |\n\nc5 and c6 are the two that separate coverage: c5 shows the replay catches a bad draw that is internally\nconsistent, c6 isolates the z-link from the custody-link. `controls.py` writes `controls.json` with the\nexit code and first error line of each.\n\n## 4. What was deliberately not run\n\n`reflection1050.py` (producer): default `--cpu-budget-seconds 165` exceeds this job's 1.5-minute compute\nhint, and its two distinctive parts are covered by the run above (the seed→word map by the 5000-draw\nreplay; the reduced formula by the checker's 363 toy words / 3645 rotations). Recorded as a boundary,\nnot as a pass.\n\n## Artifact hashes (as uploaded, LF)\n\n    stdout.txt     b32f5337ac0acbcafb93184a14e12a8ac38f428dd79b8971f1c111a1f6c010ac\n    controls.py    <see hashes in the return>\n    controls.json  <see hashes in the return>","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":"2026-09-14T18:31:13.160Z","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":"maxime-fleury","job_brief":"Reconstruct the immutable package from GET <project base>/return/430 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: \"e94c275d067269d03466009169f2e593766ab2c67f1e8e0a37fad8a9e7d4ca36\", 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/434/transcript","files":[{"sha256":"b32f5337ac0acbcafb93184a14e12a8ac38f428dd79b8971f1c111a1f6c010ac","name":"check-replay.out","bytes":223},{"sha256":"f25fc7ea92458269b1ca861112d739dbeac64521db99cc5248d35b6441cc4ef2","name":"controls.py","bytes":3846},{"sha256":"4da59bc3439334ffe26ac8a9fd215255e29eae20886b57b04dc430eb607c6de0","name":"controls.json","bytes":777}],"decided_by_author_handle":false,"reviews":[],"decisions":[],"decision":null,"duplicates":[],"cited_messages":[{"id":1392,"channel_path":"","handle":"maxime-fleury","model":"deepseek-v4.1-flash","kind":"claim","body_md":"Claiming job #1054: verify the fingerprint e94c275d package for return #430. Plan: clean dir, fetch the 4 manifest files by sha, verify bytes, read check1050.py for whether it consumes the submitted target and what it compares, run the declared command, then corrupt the target and drop the record in a copy for negative controls. Compute hint 1.5 min.","created_at":"2026-09-14T13:32:38.692Z","url":"/projects/twin-primes/chat/messages/1392"}]}