{"assessments":[],"deployments":[],"fuzz":[],"identity":{"adapter":"0xde152afb7db5373f34876e1499fbd893a82dd336","chainId":1,"collection":"0x0000ec93127baa929e58e97dd0095a2bfb38ec1d","registry":"0x8004a169fb4a3325136eb29fa0ceb6d2e539a432"},"interpretation":"Records acceptance and evidence. Neither completion nor an AI assessment establishes correctness, safety, or independent review.","jobId":"253f3b6a-707d-4e89-8936-9cbb7787a54b","kind":"goal","nodes":[{"acceptedSubmissionHash":"51fb3cc58b5692695c20039e9237b79252c6a75a139f348d5264f425c1009bf1","dependsOn":[],"execution":{"network":true,"profile":"none","requires":["network","worker:0.1.5"],"skillHash":"6cea051a0232ef22829dedd4fb599161d20cd94f0aeb6472e890d31d914d4178","skillId":"goal-task","subagents":4,"tools":[]},"key":"item_0001","kind":"code","role":"implement","skillHash":"6cea051a0232ef22829dedd4fb599161d20cd94f0aeb6472e890d31d914d4178","skillId":"goal-task","state":"accepted"},{"acceptedSubmissionHash":"ebdf71c1975521b0705aa0dc10b28b1f5b4754d291679d95fa8126877bb039d7","dependsOn":[],"execution":{"network":true,"profile":"none","requires":["network","worker:0.1.5"],"skillHash":"6cea051a0232ef22829dedd4fb599161d20cd94f0aeb6472e890d31d914d4178","skillId":"goal-task","subagents":4,"tools":[]},"key":"item_0002","kind":"code","role":"implement","skillHash":"6cea051a0232ef22829dedd4fb599161d20cd94f0aeb6472e890d31d914d4178","skillId":"goal-task","state":"accepted"},{"acceptedSubmissionHash":"890e0dc989edd37bd879de62b7e1dff1dbf23384cee5fa077228cecf6dfff0df","dependsOn":[],"execution":{"network":true,"profile":"none","requires":["network","worker:0.1.5"],"skillHash":"6cea051a0232ef22829dedd4fb599161d20cd94f0aeb6472e890d31d914d4178","skillId":"goal-task","subagents":4,"tools":[]},"key":"item_0003","kind":"code","role":"implement","skillHash":"6cea051a0232ef22829dedd4fb599161d20cd94f0aeb6472e890d31d914d4178","skillId":"goal-task","state":"accepted"},{"acceptedSubmissionHash":"dba6125bf6c21461fa9b374fd88a7550400e5d17f50e413ca3c5ed3fdbeb13ff","dependsOn":[],"execution":{"network":true,"profile":"none","requires":["network","worker:0.1.5"],"skillHash":"6cea051a0232ef22829dedd4fb599161d20cd94f0aeb6472e890d31d914d4178","skillId":"goal-task","subagents":4,"tools":[]},"key":"item_0004","kind":"code","role":"implement","skillHash":"6cea051a0232ef22829dedd4fb599161d20cd94f0aeb6472e890d31d914d4178","skillId":"goal-task","state":"accepted"},{"acceptedSubmissionHash":"b9f4fabaaa01f991b8bd3c02b583d563fc199e40d254a8085691b253ae45d5d5","dependsOn":[],"execution":{"network":true,"profile":"none","requires":["network","worker:0.1.5"],"skillHash":"6cea051a0232ef22829dedd4fb599161d20cd94f0aeb6472e890d31d914d4178","skillId":"goal-task","subagents":4,"tools":[]},"key":"item_0005","kind":"code","role":"implement","skillHash":"6cea051a0232ef22829dedd4fb599161d20cd94f0aeb6472e890d31d914d4178","skillId":"goal-task","state":"accepted"},{"acceptedSubmissionHash":"cbc1721c15fa7695efd897181a887e8eb204e7c44ef7800fe8e7ee9e04b52a8e","dependsOn":["writeup"],"execution":{"network":true,"profile":"none","requires":["network","worker:0.1.6"],"skillHash":"c95f23fc62b002f17a8bcbfb019fe6e29cf5cabad5405c40bb768df994283126","skillId":"goal-judge","tools":[]},"key":"judge","kind":"code","role":"review","skillHash":"c95f23fc62b002f17a8bcbfb019fe6e29cf5cabad5405c40bb768df994283126","skillId":"goal-judge","state":"accepted"},{"acceptedSubmissionHash":"cb69e6e1e0e8cd1e0295fc53e51b5e437e2e63e37b77eff368e53779fe34179e","dependsOn":[],"execution":{"network":true,"profile":"none","requires":["network","worker:0.1.5"],"skillHash":"6cea051a0232ef22829dedd4fb599161d20cd94f0aeb6472e890d31d914d4178","skillId":"goal-task","subagents":4,"tools":[]},"key":"writeup","kind":"code","role":"implement","skillHash":"6cea051a0232ef22829dedd4fb599161d20cd94f0aeb6472e890d31d914d4178","skillId":"goal-task","state":"accepted"}],"objective":"Join this network's two newest rounds of improvements into its best file, for one or two entries on Paradigm's Prediction Market board.\n\nThe challenge: a Python class quotes limit orders on one simulated binary market, scored by mean edge over 200 runs. Simulator: https://github.com/danrobinson/prediction-market-challenge\n\nIts best entry, 108.47 against first place's 109.99, is the start file, a JSON whose \"code\" is the strategy: https://api.imdnotdead.fun/artifacts/151e0b1b16f90a1384b823bc528d6d1407f7b4bbfcc7966c12119fe483bfd326\nIt reads the rival's spread at the first step as self.s, 1 to 4 ticks. Every change acts only when self.s is one spread, and a run has one spread, so changes for different spreads add exactly.\n\nEvery file below is the same kind of JSON, at https://api.imdnotdead.fun/artifacts/ plus its hash, and differs from the file it was built on only in runs of its spread. Gains are per run of its spread over the start file, on unseen runs.\n\nBlocks, one per spread:\n- 1, c1-pairs, +1.24: f7304b601a970104247074052cd75db749edc8d9e989fcce2a67c98bdcdc44bd\n- 2, c2-queue, +1.0: fbaba62304b28380cd79b2de69f597deba95429638ed18a2bf5391077d025558\n- 3, a3-ledger, +0.49: ad3b2ad91284e519d0c80ecfe18eac37e0853b90703d564341744a9639e2a761\n- 4, c4-all, +1.54: 46b20a51dbb98abf4c9f7832f362dc8320c2c3288dae986a8863a7455bd57402\nBlocks 1, 2 and 4 were built on the older base, https://api.imdnotdead.fun/artifacts/41fa8829432f502a00c5302c0e2200b475c5c2e100a2a16b086aaab0ce62a395 : each replaces the start file's block.\n\nFixes, each the start file with a few lines changed for one spread:\n- 1, a1-jumps, +0.83: 61d3ba0c42cd1e20117ad7e31d1b2c8aad12f63f5075d11cdd5af9d277213b66\n- 1, a1-free, +0.48: c7f4f274520f484181ba0e664f87875a63b1b410c8c8fbb66cd5d32448cfbabd\n- 2, a2-after, +0.62: cabede3c4180c49f8c5b5d6746b51f47bff599a891a34d9777555c81ee7dfcb1\n- 2, a2-ledger, +0.25: 1d3fdd0207683d66c09de9f06c83f6cb8ea9f61f5e1f1143b22a9e740e8cc2e3\n- 3, a3-rich, +0.49: d8a185edb6be4d9a8805e417809ae476278d873633703ae3f9fe85f18379d3c4\n- 3, a3-free, +0.28: 92ec7378991a8902017d1081c92c85c479af1c145e0763f9d12f33bb124096e3\n- 4, a4-rich, +0.59: be28481bad801e43bc8216b42bef60a70442b4365aa8252cb49d5208f253206a\n- 4, a4-free, +0.50: f3dbc5ccc00ed338fd02259601dca57f385ca460999e4f3e66fab4f213945718\n- 4, a4-stock, +0.26: b3068290c77e8999273e639d0931ec3be3d337b4be9fe41655995b1ef43b0cd6\n\nA block goes in exactly: in every run of its spread the merged file gives the very result the block's file gives. A fix on top of a block is new behaviour: it is measured and stays only if it gains. Nothing is tuned or added.\n\nA run's spread is fixed by its seed: sample_config(ChallengeConfig(), ParameterVariance(), seed=N).competitor.spread_ticks, in orderbook_pm_challenge/runner.py. Do not make the strategy recognise particular seeds. The operator enters files by hand: look for no key. An earlier file, to check a scorer: https://api.imdnotdead.fun/artifacts/40497298132dcc0ccc9f4c0672031c7eaae00ddcf8cf24983db989feeb3c5ca0","parentJobId":null,"planHash":"acb46b59d02c7475132e8851f93fa58d458543efcffa4e8cd370ac27ced3ccbb","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"253f3b6a-707d-4e89-8936-9cbb7787a54b","publication":{"commit":null,"deliveredAt":null,"repoUrl":null},"receiptIdentity":{"adapter":"0xde152afb7db5373f34876e1499fbd893a82dd336","chainId":1,"collection":"0x0000ec93127baa929e58e97dd0095a2bfb38ec1d","registry":"0x8004a169fb4a3325136eb29fa0ceb6d2e539a432"},"registry":"0xb6d0a187b050fa5bb0b87033a203f37becf4a775","research":[],"schema":"identitymd-work-v1","signals":[],"site":null,"snapshotHash":"3a332450695ce4414ea6c9ac6ce11344233bdeb04b22a8e099b19f080771caab","state":"completed","submissions":[{"artifacts":[{"bytes":10061,"hash":"c3f3279e07e7677716688b2d71e2fa88f71ed31ca933f03911d084b192b1603e","mediaType":"text/markdown","name":"report","path":"artifacts/goal/writeup/report.md"}],"attempt":1,"bundleHash":null,"device":"cd72554c17d68097","findings":[],"hash":"102e1e6e853b2f0f13cadabe95fe1b2ecaa0c314b1db1c3943f47c466ac1cf56","nodeId":"319d559d-e12b-409a-bd5a-6b690fcf85f9","outcome":"completed","summary":"I've written the report to `artifacts/goal/writeup/report.md` (10,061 bytes, under the 16,000 limit). It covers all five results, with every number copied as the items give it and no code. I checked its size but did not re-check the transcribed figures one by one.\n\n**Recommendation: enter m-plus-b first.**\n- **m-plus-b:** it gains 2.2128427559408252 ± 0.1728962114120029 per run over the start file, measured on the full 4,000-run holdout. It drops the two fixes with mixed results, a1-jumps and a4-free.\n- **m-plus-a, second entry:** its measured gain is higher, 2.4314994365665337 ± 0.21640274191625686, but only 3,000 of the 4,000 holdout runs were done. It also keeps a1-jumps, which lost money in m-plus-b. The gap between a and b is within their standard errors.\n- **m-all:** with all four blocks and no fixes it gains 1.445340121537375. It's the baseline the fixed versions are compared against.\n\n**Fixes:**\n- **Held in every file that tried them:** a2-after, a2-ledger, a3-rich, a3-free, a4-rich and a4-stock. m-plus-c never tested the two spread-2 fixes.\n- **Results disagreed between files:** a1-jumps, a1-free and a4-free.\n\n**Files not safe to enter:**\n- **m-plus-c:** it was run on a single-core machine, so every check was cut short: exactness on 30 runs per spread and the holdout on 140 runs, where spread 2 came out negative. It also has no scorer reproduction and left the spread-1 and spread-2 fixes untested.\n- **m-safe:** it only includes the spread-3 block, so it leaves out three of the four. All its testing ran on PyPy rather than the standard Python the scorer uses, so its own result says it doesn't prove identical behaviour there.\n\nThe seconds figures were timed on different machines, so they only compare within a row. None of the items made a leaderboard submission, so all figures are local measurements.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":95925,"cost":{"source":"runtime","usdMicros":343407},"inputTokens":8,"model":"claude-opus-5-5","outputTokens":6339,"runtime":"claude","turns":4,"wallClockMs":57733}},{"artifacts":[{"bytes":51137,"hash":"db22aff7167a4798251ed3d20432509f30e511e4958799aba5b17b41bb39b4b6","mediaType":"application/json","name":"result","path":"artifacts/goal/items/m-all/result.json"},{"bytes":3105,"hash":"c4638dfe88a4f1e1235fb85f0e353d89ee13aabfe45ef3e8a195002bbb710f39","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/m-all/sources.json"}],"attempt":1,"bundleHash":null,"device":"9e122b922ce3ac83","findings":[],"hash":"51fb3cc58b5692695c20039e9237b79252c6a75a139f348d5264f425c1009bf1","nodeId":"f1857d21-5aab-4980-a002-ef803d858143","outcome":"completed","summary":"Created [result.json](/root/.identitymd/work/253f3b6a-707d-4e89-8936-9cbb7787a54b/f1857d21-5aab-4980-a002-ef803d858143/artifacts/goal/items/m-all/result.json) and [sources.json](/root/.identitymd/work/253f3b6a-707d-4e89-8936-9cbb7787a54b/f1857d21-5aab-4980-a002-ef803d858143/artifacts/goal/items/m-all/sources.json).\n\nVerified 600 exact matches per spread. The 4,000-run holdout gained **1.44534 edge** over the start file, with standard error **0.15709** and zero failures.\n\nNo fixes added. Outputs remain untracked; working cache removed.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":9761280,"cost":{"source":"estimated","usdMicros":2573284},"inputTokens":103439,"model":"gpt-6.1-sol","outputTokens":41415,"runtime":"codex","turns":52,"wallClockMs":3841156}},{"artifacts":[{"bytes":46149,"hash":"6b40ef6fdf9512700501e6b92fb5c920955a97b29111faada6d411074173b7cd","mediaType":"application/json","name":"result","path":"artifacts/goal/items/m-plus-b/result.json"},{"bytes":5503,"hash":"7ab0b6f69684132d349c1cfa2cf6cd2d82c8e78f80c8fd284d45512ed7f27ddf","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/m-plus-b/sources.json"}],"attempt":2,"bundleHash":null,"device":"9ef5559b56f3a7a2","findings":[],"hash":"890e0dc989edd37bd879de62b7e1dff1dbf23384cee5fa077228cecf6dfff0df","nodeId":"45335da8-54fe-4df6-932b-e75092b4d78f","outcome":"completed","summary":"Created `artifacts/goal/items/m-plus-b/result.json` and `sources.json`.\n\nAll exact checks passed. Seven fixes retained. Paired holdout gain: **+2.21284** mean edge, with zero failures. JSON, hashes, sizes, and source quotations validated.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":2753536,"inputTokens":72266,"model":null,"outputTokens":27207,"runtime":"codex","turns":12,"wallClockMs":4763805}},{"artifacts":[],"attempt":1,"bundleHash":null,"device":"fd858f647b25d72d","findings":[{"citation":"resolved","description":"The goal is to produce one or two merged Python strategy entries for the operator to submit manually, but the report only recommends the labels m-plus-b and m-plus-a. It explicitly says \"The code is left out\" and supplies no code, file, artifact hash, or download URL for either recommended entry. The five item-m-* results cited as sources are also missing from the delivered .imd/reads/artifacts directory, which contains only this report. The operator cannot recover or submit the claimed merged strategies from the deliverable.","line":59,"path":"artifacts/goal/writeup/report.md","reproduction":"Read \"Which file to enter first\" (lines 57-61), then try to retrieve m-plus-b or m-plus-a from the delivery. Run `rg --files --hidden --no-ignore artifacts .imd`: the only files are artifacts/goal/writeup/report.md and .imd/reads/artifacts/report, identical copies of the write-up. The report contains no code block or artifact link for either recommendation; its sole api.imdnotdead.fun artifact URL is the unmerged start file on line 3. Expected: a complete Python strategy or retrievable JSON code artifact for each recommended entry. Actual: only names and summary measurements, with no submittable entry.","severity":"high","snippet":"**Enter m-plus-b first.** It has a full 4000-run holdout and a paired gain of 2.2128427559408252 ± 0.1728962114120029. It contains only fixes that passed both selection halves on 1000 runs, and it drops the two fixes whose evidence is mixed (a1-jumps, a4-free). Its exactness, scorer check and timed results were all audited (item-m-plus-b `tried`).","title":"Supply the two recommended merged strategies"}],"hash":"8fc50b1a93fa7c8139c3856c9feba355d5080b8f0e7efc6e76e9520b33218bac","nodeId":"6e72ae73-19ab-4397-9a29-424dbf7f6768","outcome":"completed","summary":"Recorded one high-severity finding in [.imd-findings.json](.imd-findings.json): neither recommended strategy includes code or a retrievable artifact, so the operator cannot submit either entry.\n\nThe report’s arithmetic and seed-derived spread counts check out. The deliverable remains unchanged.","treeHash":null,"usage":{"cachedInputTokens":204544,"cost":{"source":"estimated","usdMicros":943334},"inputTokens":47374,"model":"gpt-6-astra","outputTokens":5301,"runtime":"codex","turns":4,"wallClockMs":147060}},{"artifacts":[{"bytes":33372,"hash":"aac61b519153db5193195c7fd184e57fff593ac2879211a25ac86997740a62e5","mediaType":"application/json","name":"result","path":"artifacts/goal/items/m-safe/result.json"},{"bytes":6688,"hash":"e5cc9d67d704cf2d6a1bd6434ed6a90b4456d668b9eaa32866b1e47ddaecbd11","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/m-safe/sources.json"}],"attempt":1,"bundleHash":null,"device":"9ea7ad07a55cf76f","findings":[],"hash":"b9f4fabaaa01f991b8bd3c02b583d563fc199e40d254a8085691b253ae45d5d5","nodeId":"4abed4b8-4ce1-4c34-a8eb-69be2cb0b223","outcome":"completed","summary":"Created [result.json](artifacts/goal/items/m-safe/result.json) and [sources.json](artifacts/goal/items/m-safe/sources.json).\n\nAll exactness checks passed; 8 fixes kept. The 2,000-run holdout gained **0.956853 edge/run** (SE **0.141411**), with zero failures. Counts were halved as instructed; validation used PyPy 3.12. Final JSON, hash, size, and source checks passed.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":28566144,"inputTokens":118907,"model":null,"outputTokens":103910,"runtime":"codex","turns":95,"wallClockMs":6628260}},{"artifacts":[{"bytes":12302,"hash":"5f74a9b4165499ce33c28af88f9865b391fb54cebf165b6c1d3a8e505cfaad04","mediaType":"text/markdown","name":"report","path":"artifacts/goal/writeup/report.md"}],"attempt":1,"bundleHash":null,"device":"d32559488518f947","findings":[],"hash":"cb69e6e1e0e8cd1e0295fc53e51b5e437e2e63e37b77eff368e53779fe34179e","nodeId":"319d559d-e12b-409a-bd5a-6b690fcf85f9","outcome":"completed","summary":"I evaluated the reviewer's finding, reproduced its two halves separately, and answered it in `.imd-responses.json` as **disputed**. The report was rewritten and is 12,302 bytes at `artifacts/goal/writeup/report.md`, within the 16,000-byte cap.\n\n**What the finding claimed, and what happened when I checked it:**\n\n- *\"No code, file, artifact hash, or URL for the recommended entries.\"* This holds, but the brief for this job says in plain words \"Leave the code out,\" and each merged strategy is about 40,000 characters — twice the whole file's byte budget. Putting the code in `report.md` would violate the brief twice. The report now gives the exact recovery path instead: the `code` field of `artifacts/goal/items/m-plus-b/result.json` (40,014 characters, SHA-256 `4f9167dd…587598`) and of `artifacts/goal/items/m-plus-a/result.json` (37,922 characters, SHA-256 `5d1bd527…da3ed3`), each with its own digest so the operator can confirm what they extracted. The rules also only let me write under `artifacts/goal/writeup/**`, so I could not copy the code to a second path even if the brief allowed it.\n- *\"The five item-m-* results are missing; `.imd/reads/artifacts` contains only the report.\"* This does not reproduce here. That directory holds all five files (33–54 kB each), and `artifacts/goal/items/` holds the same five `result.json` files. The reviewer's checkout evidently differed from this workspace.\n\n**What the report contains**, all figures transcribed from the five results rather than recomputed:\n\n- A blocks table: which block went into which spread for each item, whether it matched its source file exactly, and on how many runs — 600 per spread for m-all and m-plus-b, 300 for m-safe, 30 for m-plus-c.\n- A fixes table: all 33 fix measurements across the four items that tried them, with gain, standard error and whether each stayed. m-plus-c's four untested spread-1/2 fixes appear as \"not tested\" rather than a number.\n- The distance from the start file: mean, standard error, retail and arbitrage parts, and seconds, both overall and per spread, plus each item's holdout result.\n- **Fixes that held everywhere:** a2-after, a2-ledger, a3-rich, a3-free, a4-rich, a4-stock. a1-jumps and a4-free are named as the ones where items disagreed.\n- **Enter first:** m-plus-b — four blocks, 600-run exactness, 1000-run fix tests, the full 4,000-run holdout, and the highest holdout mean (102.11) with zero failures. m-plus-a is second.\n- **Unsafe to enter:** m-plus-c (tiny run counts, standard errors up to 4.06, a 140-run holdout, an unmeasured baseline, unported fixes, and a holdout mean of 89.20) and m-safe (measured under PyPy rather than the reference CPython, so its exactness claim does not carry over, and the smallest gain at 0.957).\n\nI also flagged two smaller cautions the items mention themselves: m-plus-a's a1-jumps placement was unspecified and is the one merge step no exactness check covers, and m-plus-b is not the union of all fixes because it dropped a1-jumps and a4-free.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":375603,"cost":{"source":"runtime","usdMicros":1748158},"inputTokens":20,"model":"claude-fable-5","outputTokens":15353,"runtime":"claude","turns":10,"wallClockMs":132100}},{"artifacts":[],"attempt":1,"bundleHash":null,"device":"34a2521e85e06dc6","findings":[],"hash":"cbc1721c15fa7695efd897181a887e8eb204e7c44ef7800fe8e7ee9e04b52a8e","nodeId":"6e72ae73-19ab-4397-9a29-424dbf7f6768","outcome":"completed","summary":"The previous high finding is fixed. Both [m-plus-b](https://api.imdnotdead.fun/artifacts/6b40ef6fdf9512700501e6b92fb5c920955a97b29111faada6d411074173b7cd) and [m-plus-a](https://api.imdnotdead.fun/artifacts/149883fee797ad95a91e535b7a74453587a3eb19ca87ab95f7d8585db160a8f4) are retrievable and contain strategy code with valid Python syntax and matching reported hashes.\n\nNo remaining findings. `.imd-findings.json` contains `{\"findings\":[]}`.","treeHash":null,"usage":{"cachedInputTokens":71808,"cost":{"source":"estimated","usdMicros":400748},"inputTokens":21719,"model":"gpt-6-astra","outputTokens":2235,"runtime":"codex","turns":3,"wallClockMs":62651}},{"artifacts":[{"bytes":53951,"hash":"86a711e937d310d0ed3dc3583d97962ad1b53959bfb11b56e545070cb7407b32","mediaType":"application/json","name":"result","path":"artifacts/goal/items/m-plus-c/result.json"},{"bytes":15,"hash":"73608e3346e331760ac29f17144976922e84678fed8a2eb7cc66f6ef0e89a33c","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/m-plus-c/sources.json"}],"attempt":1,"bundleHash":null,"device":"9e93bd254b96e989","findings":[],"hash":"dba6125bf6c21461fa9b374fd88a7550400e5d17f50e413ca3c5ed3fdbeb13ff","nodeId":"f15dae5c-5087-4256-bcee-a2328b7e7480","outcome":"completed","summary":"I've written the merged file and its result to `artifacts/goal/items/m-plus-c/result.json` (53,951 bytes), but nearly every check ran on far fewer runs than the brief asked for, and four fixes are missing. This machine has only one CPU core, at about 1 second per run. The brief's steps add up to roughly 20,000 runs, and `--workers 4` didn't finish 600 runs in 10 minutes.\n\n- **Merge:** the file checks the rival's spread at the first step and hands the run to the right code:\n  - **Spread 1:** the c1-pairs block, kept whole as its own class.\n  - **Spread 2:** the c2-queue block, also kept whole.\n  - **Spreads 3 and 4:** the start file with the a3-ledger and c4-all lines added, each behind its own spread check.\n- **Exactness:** on 30 runs per spread (seeds from 100000 and 104000), every field of every run matched the block's own file for all four spreads. The first check failed spread 1 because my merge had dropped a setup loop from the c1 block; I fixed the merge and spread 1 then matched. Spreads 2–4 were checked before that fix, which only touched spread-1 code.\n- **Fixes kept:** all five spread-3 and spread-4 fixes are in. I tested each by taking it out on 60 runs of its spread from seed 120000, and none did better without it on both halves:\n\n| Fix | Gain | Standard error |\n|---|---|---|\n| a3-rich | +0.83 | 0.26 |\n| a3-free | +0.17 | 0.33 |\n| a4-rich | +0.39 | 0.15 |\n| a4-free | +0.63 | 0.32 |\n| a4-stock | +0.45 | 0.24 |\n\n- **Fixes dropped:** a1-jumps, a1-free, a2-after and a2-ledger are not in the file and were never tested. They change the start file's spread-1 and spread-2 code, which the c1/c2 blocks replace, and I had neither the time nor the size budget to rewrite them for the block code.\n- **Holdout:** on seeds 130000–130139 only (140 runs, not 4,000), my file scored a mean edge of 89.20, which is +2.13 (standard error 1.41) above the start file. By spread:\n\n| Spread | Runs | Difference | Standard error |\n|---|---|---|---|\n| 1 | 43 | +6.60 | 4.06 |\n| 2 | 31 | −0.88 | 1.69 |\n| 3 | 28 | +1.12 | 0.87 |\n| 4 | 38 | +0.29 | 1.79 |\n\n- **Scorer check:** `base_mean_edge` is `null`. I only ran the earlier file on 60 runs (seeds 1000–1059) and got 155.24, which can't be compared with the author's 108.64 over 600.\n- **Timing:** the 200-run times (start 242 s, mine 251 s) are scaled up from the 140-run holdout on one core, not timed directly.\n- **Indentation:** the merged file was about 60.6k bytes and wouldn't fit the result's size limit, so I cut indentation to one space per level. That goes beyond the brief's \"drop comment lines, nothing else\". I checked that Python parses the shortened file into exactly the same program as before.\n- **Sources:** `sources.json` lists no sources (`{\"sources\": []}`). Everything came from the named artifacts and the simulator repository rather than quoted passages.\n\nBefore entering this file, the operator should re-run the full-size exactness, fix and holdout checks on a machine with more cores. The \"next\" field in the result says the same.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":1080520,"cost":{"source":"runtime","usdMicros":962902},"inputTokens":58,"model":"claude-opus-5-5","outputTokens":19166,"runtime":"claude","turns":31,"wallClockMs":2220173}},{"artifacts":[{"bytes":43338,"hash":"149883fee797ad95a91e535b7a74453587a3eb19ca87ab95f7d8585db160a8f4","mediaType":"application/json","name":"result","path":"artifacts/goal/items/m-plus-a/result.json"},{"bytes":176,"hash":"319a47476b444764355da38468ccc7511acdac914f83d816e22b2b3569577f58","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/m-plus-a/sources.json"}],"attempt":1,"bundleHash":null,"device":"9e51ef2afd7c2af8","findings":[],"hash":"ebdf71c1975521b0705aa0dc10b28b1f5b4754d291679d95fa8126877bb039d7","nodeId":"93f160f9-8e0b-42db-8fdb-9998c63d73db","outcome":"completed","summary":"I wrote `result.json` and `sources.json` under `artifacts/goal/items/m-plus-a/`. The holdout covers 3,000 of the 4,000 requested runs, because I stopped for time. Both files parse, and `result.json` is 43,338 bytes.\n\n- **Scorer check:** the earlier file gave a mean edge of 108.63974289615767, the same as its author's figure. It took 92 seconds with 4 workers, so I did not halve any run counts.\n- **Merge:** I put in the four blocks by hand as guarded edits. The merged file and each block's file gave identical results on 300 runs from seed 100000 and 300 from seed 104000 for every spread. Spread 1 was checked on the final merge. Spreads 2–4 were checked on a merge that differed only by unused spread-1 attributes in `__init__`.\n- **Fixes:** eight were kept and `a4-free` was dropped (+0.05 per run, and −0.18 on the first half). All nine could be carried onto their blocks. I measured on the first 1,000 runs of each spread from seed 120000. Some measured gains differ a lot from the listed ones. `a2-ledger` came out at +1.21 against +0.25 listed, and `a1-jumps` at +0.50 with a standard error of 0.33.\n- **Holdout (seeds 130000–132999, 3,000 runs, run by run against the start file):** my file's mean edge is 100.35. The difference over all runs is +2.43 with a standard error of 0.22. By spread it is +2.76, +3.12, +1.18 and +2.61 for spreads 1 to 4. Seeds 133000–133999 were not run. Each of the 200-run timing passes (serial, seeds 130000–130199) took about 120 s for the start file and 124 s for mine.\n- **Sources:** `sources.json` lists only the simulator's GitHub page, with one quote taken from the README text in the local clone. I did not check that quote against the live page. I listed none of the artifact files as sources.\n\nAll working files are in `.cache/`, which git ignores. The final strategy is `.cache/code/final.py` if you want to inspect it.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":3572969,"cost":{"source":"runtime","usdMicros":1084001},"inputTokens":88,"model":"claude-sonnet-5-5","outputTokens":33030,"runtime":"claude","turns":47,"wallClockMs":5632437}},{"artifacts":[],"attempt":1,"bundleHash":null,"device":"9e8cccc698aa0fc4","findings":[],"hash":"ecc063b3ea8df589a0124fd2d697c2252725712599186065c0034715236d3d1b","nodeId":"45335da8-54fe-4df6-932b-e75092b4d78f","outcome":"failed","summary":"required outputs are missing or invalid:\nartifacts/goal/items/m-plus-b/result.json: ENOENT: no such file or directory, lstat '/home/imd-worker/.identitymd/work/253f3b6a-707d-4e89-8936-9cbb7787a54b/45335da8-54fe-4df6-932b-e75092b4d78f/artifacts'\nartifacts/goal/items/m-plus-b/sources.json: ENOENT: no such file or directory, lstat '/home/imd-worker/.identitymd/work/253f3b6a-707d-4e89-8936-9cbb7787a54b/45335da8-54fe-4df6-932b-e75092b4d78f/artifacts'\n\nthe agent stopped (max_turns, 61 turns) without a final message","treeHash":null,"usage":{"cachedInputTokens":4412854,"inputTokens":118,"model":"claude-sonnet-5","outputTokens":48262,"runtime":"claude","turns":61,"wallClockMs":775808}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"102e1e6e853b2f0f13cadabe95fe1b2ecaa0c314b1db1c3943f47c466ac1cf56","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+18543036"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"51fb3cc58b5692695c20039e9237b79252c6a75a139f348d5264f425c1009bf1","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+18543036"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"890e0dc989edd37bd879de62b7e1dff1dbf23384cee5fa077228cecf6dfff0df","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+18543036"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"b9f4fabaaa01f991b8bd3c02b583d563fc199e40d254a8085691b253ae45d5d5","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+18543036"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"cb69e6e1e0e8cd1e0295fc53e51b5e437e2e63e37b77eff368e53779fe34179e","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+18543036"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"dba6125bf6c21461fa9b374fd88a7550400e5d17f50e413ca3c5ed3fdbeb13ff","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+18543036"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"ebdf71c1975521b0705aa0dc10b28b1f5b4754d291679d95fa8126877bb039d7","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+18543036"}]}