{"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":"784fcb5b-96fa-45eb-85c6-d5239a55e0ec","kind":"goal","nodes":[{"acceptedSubmissionHash":"a82e8eed9ce66b2e5a8edc8e46c0b8e15163e04fd48304be730ac1784ed4b4af","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":"2c302dd0bb37d0d0ee3c0f478ef4c35cb4cb79569a16fb869459819782876bdc","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":"4d2473f1c404264c89ab9e6bb9225374400e13126ddc2bd3202d90691774c298","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":"89c91574a5cbd594f68416939c205bc51bb85fe463528fd76f66b765f3884dd0","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":"2ba32662944f6dfa451d4f6301c56db1c7663e9755b4237b8cbc99248474c4cf","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":"a9cbd41e54d834758b891632a61de9cf21b3562111ee768cf959a9e6b0d9094a","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":"c169d2af7da2c49db71e1f46deadbf2f5adead48f04dac4bd26bfac8f1a92ac6","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":"Find the strongest market-making strategy this network can write for Paradigm's Prediction Market challenge, and measure it honestly.\n\nThe challenge (https://www.paradigm.xyz/puzzles/prediction-market-challenge): a Python class quotes passive limit orders on one simulated binary market and is scored by its mean edge over 200 simulations. The simulator, the rules and the scoring are public at https://github.com/danrobinson/prediction-market-challenge (rules in docs/orderbook_prediction_market_challenge.md). On 2026-11-05 the leaderboard's best was 109.59 and its tenth best 71.6, among 185 players. The top two entries make about 129 a simulation from retail orders and lose about 20 to the arbitrageur. The starter strategy scores -6.504278.\n\nEach item of this goal takes one approach, builds a strategy, scores it with the public simulator, and returns the strategy with its measured numbers. The results are ranked, the best are scored again by other seats, and the best one is entered on the public leaderboard, named for the seat that wrote it.\n\nWhat counts is a number that holds when someone else scores the same code. Every strategy is scored on two sets of simulations: the 200 the leaderboard appears to use, and a separate set nobody tunes on, so a strategy fitted to particular runs shows as a gap between the two. A low honest score is useful. A high score that does not hold is worth nothing and wastes the seats that check it.","parentJobId":null,"planHash":"bf0e7c0b7bca76cf44fbb707835d9328c603fdd96c561c295a25630a202c4536","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"784fcb5b-96fa-45eb-85c6-d5239a55e0ec","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":"e2b11728cb308bc87d6c60c4103afb180346df407f03cbf49d72eb5267a5601e","state":"completed","submissions":[{"artifacts":[],"attempt":1,"bundleHash":null,"device":"37f526872b78bae6","findings":[{"citation":"resolved","description":"The leading candidate is reported as an 11,910-byte strategy scoring 78.85441957511699 on seeds 0–199 and 87.597470557781 on seeds 10000–10399, but its linked artifact is absent. The other four item links are also absent; the supplied artifact directory contains only the report, which embeds neither strategy code nor result JSON. Consequently the requester cannot obtain the frozen winning code, independently rescore it, verify the reported means and failure counts, or submit it. This blocks the goal's required handoff of a strategy with reproducible measurements. Include the exact measured code and its supporting results at accessible links.","line":3,"path":"artifacts/goal/writeup/report.md","reproduction":"From the repository root run: python3 -B -c 'from pathlib import Path; import re; p=Path(\"artifacts/goal/writeup/report.md\"); links=sorted(set(re.findall(r\"\\]\\(([^)]+)\\)\", p.read_text()))); print([(link, (p.parent/link).is_file()) for link in links]); print(sorted(q.name for q in Path(\".imd/reads/artifacts\").iterdir()))'. Expected: all five item links resolve to readable artifacts, with nonempty strategy code and score/holdout results for the four completed items. Actual: all five return False and the directory listing is ['report']. In particular, opening .imd/reads/artifacts/item-arb-defence raises FileNotFoundError before its advertised code or measurements can be reproduced.","severity":"high","snippet":"| [arb-defence](../../../.imd/reads/artifacts/item-arb-defence) — Probe filter, marginal sizing, cheap YES inventory | 78.85441957511699 | 87.597470557781 | -6.4826639323115 | 11910 |","title":"Include the strategy and result artifacts needed to reproduce the ranking"}],"hash":"1a94387a57ef4dc0418668a74cd5f07ebb2424875884b5542e4759d147830d97","nodeId":"a25f6af6-1ac6-4284-9c28-cbac4a2abd51","outcome":"completed","summary":"Recorded one high-severity finding in [.imd-findings.json](/home/imd15/.identitymd/work/784fcb5b-96fa-45eb-85c6-d5239a55e0ec/a25f6af6-1ac6-4284-9c28-cbac4a2abd51/.imd-findings.json): all five linked strategy/result artifacts are missing, preventing reproduction or submission of the winner.\n\nThe table’s ranking and numerical comparisons are internally consistent; its underlying scores remain unverifiable.","treeHash":null,"usage":{"cachedInputTokens":117888,"cost":{"source":"estimated","usdMicros":499058},"inputTokens":20222,"model":"gpt-6-astra","outputTokens":3579,"runtime":"codex","turns":3,"wallClockMs":133243}},{"artifacts":[{"bytes":1681,"hash":"520faa695abdae45046c5b42268e3d6bff991b680c3a72dd14602b7bd012b945","mediaType":"application/json","name":"result","path":"artifacts/goal/items/seed-audit/result.json"},{"bytes":15,"hash":"bee7a88039d6c7375b5ec2d8eb062c1766a9113ff51c2a15c5290d27e4d8841d","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/seed-audit/sources.json"}],"attempt":2,"bundleHash":null,"device":"68e7bc9baeb58dcc","findings":[],"hash":"2ba32662944f6dfa451d4f6301c56db1c7663e9755b4237b8cbc99248474c4cf","nodeId":"9c33f46a-471d-48a6-8e73-d12d363b13b7","outcome":"completed","summary":"Created both required JSON outputs and verified parsing and size limits.\n\nBlocked: Git and Python both failed because Apple developer tools are unavailable. Per the brief, stopped without running simulations. The result records the errors and marks scores as unmeasured.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":66816,"inputTokens":17971,"model":null,"outputTokens":1058,"runtime":"codex","turns":3,"wallClockMs":56049}},{"artifacts":[{"bytes":40592,"hash":"033b4b66c3dd20e487b3be3631d1b05ef43034c6264e348f7303101deba75e51","mediaType":"application/json","name":"result","path":"artifacts/goal/items/retail-capture/result.json"},{"bytes":1230,"hash":"cdec051a2ad32c58d253e45df52497eca8d97187e229a114f257ac3cb077578b","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/retail-capture/sources.json"}],"attempt":1,"bundleHash":null,"device":"46b9f9d3b0ec61f4","findings":[],"hash":"2c302dd0bb37d0d0ee3c0f478ef4c35cb4cb79569a16fb869459819782876bdc","nodeId":"bf730513-a88a-4d13-a9d0-02d8a339ad4c","outcome":"completed","summary":"Created `result.json` and `sources.json`.\n\n- Training mean edge: `21.836290619771997`\n- Holdout mean edge: `25.24729217930025`\n- Zero failures; 20 sandbox simulations passed.\n- JSON, hashes, byte limits, and source quotes verified.\n\nThe starter calibration mismatch is documented; leaderboard equivalence remains unconfirmed.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":3942656,"inputTokens":82781,"model":null,"outputTokens":35239,"runtime":"codex","turns":11,"wallClockMs":1328909}},{"artifacts":[{"bytes":17420,"hash":"7236701c55bd1d2e0674854545ae0bbe4d4b54508c7f7a7c914261696b02e158","mediaType":"application/json","name":"result","path":"artifacts/goal/items/arb-defence/result.json"},{"bytes":1418,"hash":"7b8c4d50e272cba22eddf2ed0acf4a38dfaa60736b5ccac740179c809cf3f721","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/arb-defence/sources.json"}],"attempt":3,"bundleHash":null,"device":"6b0a28df3d585600","findings":[],"hash":"4d2473f1c404264c89ab9e6bb9225374400e13126ddc2bd3202d90691774c298","nodeId":"6bfad7f1-2e17-4b07-9ca5-3fdd24aa205a","outcome":"completed","summary":"The strategy is finished and both output files are written. It scores **78.85 on seeds 0–199** and **87.60 on the 400 holdout seeds**, with no failed simulations. The holdout was scored only on the final code, and it came out above the tuning-side score, so there's no sign of overfitting.\n\n| Seed set | Mean edge | Retail edge | Arbitrageur edge | Failures |\n|---|---|---|---|---|\n| 0–199 (200 sims) | 78.854 | 105.18 | -26.33 | 0 |\n| 10000–10399 (400 sims) | 87.597 | 115.08 | -27.48 | 0 |\n\nAt 78.85 it would place around 8th on the leaderboard, below the 109.59 lead. The standard error is about 9 on 200 seeds, so that placing is rough.\n\n**What the strategy does:**\n- **Finding p:** it rests tiny 0.01-share orders on both sides of its estimate. The arbitrageur removes any that are on the wrong side of p, which locates p to about a tick. A small filter then narrows that further.\n- **Quoting:** it quotes one tick inside the competitor and sizes each quote by comparing expected retail edge with expected arbitrage loss. That same comparison pulls or widens quotes, and keeps it out of the market when no tick pays.\n- **Queue position:** it keeps orders resting where it can, so competitor replenishments land behind them.\n- **Near p=0:** a retail buy pays almost its full notional as edge there, so it deliberately buys cheap YES to cover its low asks. Much of the arbitrage loss is therefore planned: about two thirds of it fell below 5c on the tuning seeds, and most of that is likely this YES buying. The leaders' loss of about 20 is not a like-for-like comparison.\n\n**Three things to know before relying on these numbers:**\n- **The scorer check did not match.** My starter score is -6.482664, not Paradigm's -6.504278, and no 200-seed window in seeds 0–1199 reproduced it. Local scores are therefore not proven to equal leaderboard scores.\n- **`--sandbox` fails here on every strategy, including the starter.** Python 3.12's `pathlib` imports `ntpath`, which the sandbox blocks. The strategy passed 20 of 20 only on a scratch copy of the simulator with `ntpath` allowed. The strategy itself imports only `math` and the package's `strategy` and `types` modules. The server's Python may behave differently.\n- **The score is uneven.** Most of it comes from runs that settle at 0: about 144 per run against 21 for runs settling at 1, measured on a near-final build. That is why results swing so much between seed sets.\n\nBoth notes are also in `result.json`, except that the sandbox note doesn't name the 20-of-20 run's seeds, which started at seed 0. The six source quotes were checked against the raw docs file on GitHub.\n\nFiles are in `artifacts/goal/items/arb-defence/`:\n- `result.json`\n- `sources.json`","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":5205405,"cost":{"source":"runtime","usdMicros":4730971},"inputTokens":3243,"model":"claude-opus-5-5","outputTokens":113181,"runtime":"claude","turns":55,"wallClockMs":4138805}},{"artifacts":[{"bytes":19900,"hash":"6a021d3dd518c73fd56f0b53bcffc0ce2a498310c70286fb881923e5f20b9c26","mediaType":"text/markdown","name":"report","path":"artifacts/goal/writeup/report.md"}],"attempt":1,"bundleHash":null,"device":"68059403159bf6e7","findings":[],"hash":"86e5c32dd614001639602a04dc555bff048ad17fe6b2c09d6507f3b2dbf8a38e","nodeId":"fdeef78b-29f8-499a-921a-60d412191c23","outcome":"completed","summary":"Created [report.md](artifacts/goal/writeup/report.md): 19,900 bytes, with checked figures and self-contained source excerpts.\n\nRecorded the finding as disputed in `.imd-responses.json`: delivering strategy code conflicts with the explicit write-up scope. The report clearly states the remaining handoff limitation.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":236288,"inputTokens":43870,"model":null,"outputTokens":3601,"runtime":"codex","turns":3,"wallClockMs":94155}},{"artifacts":[{"bytes":14545,"hash":"5a98f39df76a6667c1bf828ab6c1d561a2df989ab47db5fee787443742270b7d","mediaType":"application/json","name":"result","path":"artifacts/goal/items/param-search/result.json"},{"bytes":2209,"hash":"7c26f835445f18ac3115e6ce8b0cdf84a17c4ca2fc94a6ac273df5f646b787c0","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/param-search/sources.json"}],"attempt":1,"bundleHash":null,"device":"5a0933543c2eb04a","findings":[],"hash":"89c91574a5cbd594f68416939c205bc51bb85fe463528fd76f66b765f3884dd0","nodeId":"53350f32-1acc-47ea-8e70-778174c1fbec","outcome":"completed","summary":"Created [result.json](artifacts/goal/items/param-search/result.json) and [sources.json](artifacts/goal/items/param-search/sources.json).\n\nTraining: **39.514229904341**  \nHoldout: **45.51548203690575**\n\nZero failures; sandbox, checksum, JSON, and size checks passed. Starter calibration mismatch is documented.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":19414528,"inputTokens":118380,"model":null,"outputTokens":103984,"runtime":"codex","turns":39,"wallClockMs":3452489}},{"artifacts":[{"bytes":5443,"hash":"3201263c57577e616d0bd7de4dce56f87875951b2a896a845a1fc3090da841e1","mediaType":"text/markdown","name":"report","path":"artifacts/goal/writeup/report.md"}],"attempt":1,"bundleHash":null,"device":"63fed6cf1a541f39","findings":[],"hash":"8f472b356e9135fa7e9e9a89f75e601cdf673f475e63352fa94737d1995ed81b","nodeId":"fdeef78b-29f8-499a-921a-60d412191c23","outcome":"completed","summary":"Created [report.md](artifacts/goal/writeup/report.md) with five result rows and three short paragraphs, including source caveats and unmeasured audit results.\n\nChecked exact scores, code sizes, and structure. File size: 5,443 bytes, within the 20,000-byte limit.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":103168,"inputTokens":45009,"model":null,"outputTokens":2060,"runtime":"codex","turns":3,"wallClockMs":63545}},{"artifacts":[],"attempt":1,"bundleHash":null,"device":"6b16b4979d227241","findings":[],"hash":"a3c111a289254ad4395f873f51389ceaf52ce51dfa20ca6d9ccefe16641e96c0","nodeId":"fdeef78b-29f8-499a-921a-60d412191c23","outcome":"failed","summary":"Failed to authenticate: this login reached its time limit and cannot be renewed. Run `claude auth login` to sign in again, or use `claude setup-token` and set CLAUDE_CODE_OAUTH_TOKEN for unattended jobs","treeHash":null,"usage":{"cachedInputTokens":0,"cost":{"source":"runtime","usdMicros":0},"inputTokens":0,"model":null,"outputTokens":0,"runtime":"claude","turns":1,"wallClockMs":1454}},{"artifacts":[{"bytes":8542,"hash":"6a2514fc15301570ab7d667ca92ff0aff39b4a8256edc0a10e145d6d4333eb3d","mediaType":"application/json","name":"result","path":"artifacts/goal/items/fair-value/result.json"},{"bytes":15,"hash":"73608e3346e331760ac29f17144976922e84678fed8a2eb7cc66f6ef0e89a33c","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/fair-value/sources.json"}],"attempt":2,"bundleHash":null,"device":"63458a1bd2b2d376","findings":[],"hash":"a82e8eed9ce66b2e5a8edc8e46c0b8e15163e04fd48304be730ac1784ed4b4af","nodeId":"1f369642-675e-4f5e-8b77-5107fed3a9d7","outcome":"completed","summary":"I built and scored a strategy that averages 17.6 edge on seeds 0–199 and 21.3 on the 400-seed holdout, with no failed simulations on either. I could not run the required `--sandbox` check on this machine.\n\n| Measure | Mean edge | Simulations | Failures |\n|---|---|---|---|\n| Seeds 0–199 | 17.625 | 200 | 0 |\n| Holdout, seeds 10000–10399 | 21.329 | 400 | 0 |\n| Starter, local | -6.4827 | 200 | 0 |\n\n- **Scorer check:** the starter scored -6.4827 locally against the server's -6.504278, so local scores may differ slightly from the leaderboard.\n- **Sandbox check:** all 20 `--sandbox` runs failed, but the unmodified starter fails the same way. On this Python 3.12 install the sandbox's own loader raises an `ImportError` for `ntpath`, before any strategy code runs. The strategy imports only `math` and `orderbook_pm_challenge`, both on the allowlist, but I have not confirmed it passes. Only Python 3.12 is installed, so I could not retry on another version.\n- **How it works:** a filter estimates the true probability from the competitor's best bid and ask. Each step it also places 0.01-share probe orders on every tick inside the competitor's spread. Any probe that goes unfilled gives a hard bound on the price, which narrows it to about one tick. It then quotes a 20-share order on each side at the tick with the best expected edge after the arbitrageur's expected losses.\n- **What helped:** the probes took scores from about -18 to about +19 on 60-simulation runs.\n- **Where the edge comes from:** on 80 simulations, edge by competitor spread was about 1 for spread 1, 6 for spread 2, 22 for spread 3 and 54 for spread 4. Narrow-spread regimes leave almost no room inside the spread. That probably explains most of the gap to the leaderboard's 109.59.\n- **What didn't:** a second layer of orders on other ticks lowered the score. Scores also moved by a few points between seed batches, so the tuned parameters are close to a plateau rather than sharply optimal.\n\nFiles are in `artifacts/goal/items/fair-value/` (`.cache/final.py` is the strategy):\n- `result.json`\n- `sources.json` (empty: I relied on no outside sources)","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":2116270,"cost":{"source":"runtime","usdMicros":838290},"inputTokens":79,"model":"claude-sonnet-5-5","outputTokens":34654,"runtime":"claude","turns":43,"wallClockMs":1124577}},{"artifacts":[],"attempt":1,"bundleHash":null,"device":"46b9f9d3b0ec61f4","findings":[{"citation":"resolved","description":"The revised 'Handoff of code (finding on withheld code)' section claims the frozen strategies are in artifacts/goal/items/<item>/result.json and that their code hashes were recomputed. None of these result files or the item artifacts is supplied: .imd/reads/artifacts contains only report. The Results table still ranks an 11,910-byte arb-defence strategy first, with mean edge 78.85441957511699 on seeds 0-199 and 87.597470557781 on seeds 10000-10399, but its code and the other three completed candidates' code remain unavailable. The last paragraph now acknowledges that per-simulation outputs were not included and proposes rescoring instead, which is impossible without the missing code. This leaves the requester unable to independently verify or submit the exact measured winner. Supply accessible copies of the measured strategies and supporting run records; a hash table and references to absent files do not resolve the previously reported blocker.","line":39,"path":"artifacts/goal/writeup/report.md","reproduction":"From the repository root run: node --input-type=module <<'CHECK'\nimport fs from 'node:fs';\nimport crypto from 'node:crypto';\nconst report=fs.readFileSync('artifacts/goal/writeup/report.md','utf8');\nconsole.log('report_sha256',crypto.createHash('sha256').update(report).digest('hex'));\nconsole.log('supplied_artifacts',fs.readdirSync('.imd/reads/artifacts'));\nfor(const item of ['arb-defence','param-search','retail-capture','fair-value','seed-audit']) {\n const p='artifacts/goal/items/'+item+'/result.json';\n console.log(item,{result_exists:fs.existsSync(p),artifact_exists:fs.existsSync('.imd/reads/artifacts/item-'+item)});\n if(fs.existsSync(p)) {\n  const r=JSON.parse(fs.readFileSync(p,'utf8'));\n  console.log({code_bytes:typeof r.code==='string'?Buffer.byteLength(r.code):null,sha256:typeof r.code==='string'?crypto.createHash('sha256').update(r.code).digest('hex'):null});\n }\n}\nconsole.log('embedded_code_blocks',(report.match(/```(?:python|py|json)\\b/g)||[]).length);\nCHECK\nExpected: the four completed candidates' cited result files expose their exact frozen code, permitting SHA-256 verification and rescoring on seeds 0-199 and 10000-10399; supporting run records permit the reported means and failure counts to be checked. Actual: report SHA-256 is 4d09f62117010165741af6d28ec071c8e6b92d70ca2943b6d03bdba5c21d3e4a; supplied_artifacts is ['report']; all five result_exists and artifact_exists pairs are false; embedded_code_blocks is 0. The report's final paragraph explicitly says per-simulation raw outputs were not part of any item result. The winner's code with hash 432d867b1459fdcae2aba14e8634d3aa8d181f3f81d16f8a8deed5252aab75c4 cannot be retrieved or rescored from the supplied handoff.","severity":"high","snippet":"The brief says to leave strategy code out and the write-up cap is 20000 bytes, so the code is not reproduced here. The frozen strategies are inside the item result files (`artifacts/goal/items/<item>/result.json`, field `code`), and I recomputed SHA-256 over each `code` string: all four match the hash the item reports.","title":"Supply the frozen strategies and run records; the prior handoff blocker remains unresolved"}],"hash":"a9cbd41e54d834758b891632a61de9cf21b3562111ee768cf959a9e6b0d9094a","nodeId":"a25f6af6-1ac6-4284-9c28-cbac4a2abd51","outcome":"completed","summary":"One high finding remains unresolved: the cited strategy files and run records are still absent. The exact winning strategy cannot be independently rescored or submitted.\n\nRecorded the reproduction in [.imd-findings.json](/home/imd/.identitymd-13/work/784fcb5b-96fa-45eb-85c6-d5239a55e0ec/a25f6af6-1ac6-4284-9c28-cbac4a2abd51/.imd-findings.json). No new findings added.","treeHash":null,"usage":{"cachedInputTokens":91648,"cost":{"source":"estimated","usdMicros":470038},"inputTokens":23714,"model":"gpt-6-astra","outputTokens":2825,"runtime":"codex","turns":3,"wallClockMs":92237}},{"artifacts":[],"attempt":1,"bundleHash":null,"device":"644eb561f6d70a85","findings":[],"hash":"ad52489e54e2b3a89bc1644c3472149f72b046c41dd00eac55e8ccc7acc0a0e9","nodeId":"6bfad7f1-2e17-4b07-9ca5-3fdd24aa205a","outcome":"failed","summary":"Failed to authenticate: this login reached its time limit and cannot be renewed. Run `claude auth login` to sign in again, or use `claude setup-token` and set CLAUDE_CODE_OAUTH_TOKEN for unattended jobs","treeHash":null,"usage":{"cachedInputTokens":0,"cost":{"source":"runtime","usdMicros":0},"inputTokens":0,"model":null,"outputTokens":0,"runtime":"claude","turns":1,"wallClockMs":1455}},{"artifacts":[{"bytes":8161,"hash":"4d09f62117010165741af6d28ec071c8e6b92d70ca2943b6d03bdba5c21d3e4a","mediaType":"text/markdown","name":"report","path":"artifacts/goal/writeup/report.md"}],"attempt":2,"bundleHash":null,"device":"6b37e4ab65246705","findings":[],"hash":"c169d2af7da2c49db71e1f46deadbf2f5adead48f04dac4bd26bfac8f1a92ac6","nodeId":"fdeef78b-29f8-499a-921a-60d412191c23","outcome":"completed","summary":"I've written the report and the response file. Nothing has been committed.\n\n- **Report:** `artifacts/goal/writeup/report.md` is 8,161 bytes. It has the five-row table, the three paragraphs and a note on the cited sources. It also has a short section listing each strategy's SHA-256 and where the code lives.\n- **Winner:** arb-defence scored 78.85441957511699 on seeds 0–199 and 87.597470557781 on the holdout. Both are below the leaderboard's best of 109.59.\n- **Starter check:** local scores do not match the leaderboard. Four items measured the starter at -6.4826639323115, against the leaderboard's -6.504278, and no item explained the gap.\n- **seed-audit:** it was blocked and measured nothing, so its row says \"not measured\".\n- **Cited sources:** the result files list no URLs, so I could not tell which claims rest on the failed sources. The report says so and treats arb-defence's and param-search's descriptive claims as unverified.\n\nI disputed the reviewer's finding in `.imd-responses.json`. The brief says to leave strategy code out, caps the report at 20000 bytes, and only `artifacts/goal/writeup/**` is delivered. So I did not add code to the deliverable.\n\nI did confirm the code exists in each item's `result.json`. The SHA-256 I computed matches the item's reported hash for all four strategies. The report also says that no item supplied per-simulation outputs, so the means can only be checked by rescoring with the public simulator.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":224213,"cost":{"source":"runtime","usdMicros":279435},"inputTokens":12,"model":"claude-sonnet-5-5","outputTokens":6500,"runtime":"claude","turns":9,"wallClockMs":72272}},{"artifacts":[],"attempt":1,"bundleHash":null,"device":"5f24516e20c96aec","findings":[{"citation":"resolved","description":"The revision repairs the broken citations with internal anchors and preserves aggregate results, but it does not fix the previously reported blocker. The ranking still names an 11,910-byte arb-defence strategy scoring 78.85441957511699 on seeds 0–199 and 87.597470557781 on seeds 10000–10399. Section arb-defence supplies only its hash, description and aggregate scores; neither the strategy nor the cited original input exists in the supplied artifacts. The other three completed strategies are also absent. Line 17 explicitly excludes strategy code and defers the code and raw outputs to a separate handoff that is not provided. Consequently the requester cannot independently rescore the exact winner, verify the reported means and failure counts, or submit it, as the goal requires. Supply the exact measured code and supporting run results at accessible locations; hashes and excerpts alone do not satisfy that handoff.","line":17,"path":"artifacts/goal/writeup/report.md","reproduction":"From the repository root run:\nnode --input-type=module <<'CHECK'\nimport fs from 'node:fs';\nconst report=fs.readFileSync('artifacts/goal/writeup/report.md','utf8');\nconst excerpts=[...report.matchAll(/```json\\n([^]*?)\\n```/g)].map(m=>JSON.parse(m[1]));\nconsole.log('supplied artifacts:', fs.readdirSync('.imd/reads/artifacts'));\nfor(const item of ['arb-defence','param-search','retail-capture','fair-value','seed-audit']) console.log(item, fs.existsSync('.imd/reads/artifacts/item-'+item), fs.existsSync('artifacts/goal/items/'+item+'/result.json'));\nconsole.log('completed excerpts:', excerpts.filter(x=>x.score.simulations>0).map(x=>({code_utf8_bytes:x.code_utf8_bytes, has_code:typeof x.code==='string' && x.code.length>0, score_keys:Object.keys(x.score), holdout_keys:Object.keys(x.holdout)})));\nCHECK\nExpected: accessible frozen strategy code for each completed candidate and supporting per-simulation results for the stated 200-seed and 400-seed batches, enabling hash verification and rescoring. Actual: the supplied-artifacts list is ['report']; all five pairs of artifact-existence checks are false; all four completed excerpts have has_code=false and only aggregate mean_edge, simulations, seed_start and failures fields. The winner's 11,910-byte code (SHA-256 432d867b1459fdcae2aba14e8634d3aa8d181f3f81d16f8a8deed5252aab75c4) and underlying run records cannot be obtained from this deliverable.","severity":"high","snippet":"The next seats should first reconcile starter calibration and independently rescore the frozen arb-defence candidate in the unmodified submission environment, then build on its probe/filter and covered-ask design with unbiased retail-demand estimation and improved low-price jump modelling. Reserve a fresh holdout before further tuning: the reported holdout has now been observed. The winning item's code fingerprint is preserved below, but this write-up intentionally excludes strategy code as required; it is not a submission-ready strategy bundle. The provided inputs contain code and aggregate results, but no per-simulation result arrays with which to independently recompute means or failure counts. Frozen code and raw run outputs must be handed off separately before public submission. [Arb-defence](#arb-defence), [param-search](#param-search), [retail-capture](#retail-capture)","title":"Provide the frozen strategies and run results; the prior handoff finding remains unresolved"}],"hash":"cf27d3af3539b381b035a97e303b56b606af95c930622cb53c837cb77f4c1461","nodeId":"a25f6af6-1ac6-4284-9c28-cbac4a2abd51","outcome":"completed","summary":"The prior **high-severity finding remains unresolved**. Links now reach embedded excerpts, but the frozen strategies and per-simulation results are still missing, preventing independent rescoring and submission.\n\nRecorded one finding with a verified reproduction in [.imd-findings.json](/Users/dannyren/.identitymd/work/784fcb5b-96fa-45eb-85c6-d5239a55e0ec/a25f6af6-1ac6-4284-9c28-cbac4a2abd51/.imd-findings.json). No new findings.","treeHash":null,"usage":{"cachedInputTokens":97664,"cost":{"source":"estimated","usdMicros":579774},"inputTokens":31786,"model":"gpt-6-astra","outputTokens":3285,"runtime":"codex","turns":3,"wallClockMs":110866}},{"artifacts":[],"attempt":1,"bundleHash":null,"device":"3baa2091028c32c1","findings":[],"hash":"d1b6252a3c28611eda009c267c5e3fe5a3c35b70c0634e8c4b00f72878efa49e","nodeId":"1f369642-675e-4f5e-8b77-5107fed3a9d7","outcome":"failed","summary":"Failed to authenticate: this login reached its time limit and cannot be renewed. Run `claude auth login` to sign in again, or use `claude setup-token` and set CLAUDE_CODE_OAUTH_TOKEN for unattended jobs","treeHash":null,"usage":{"cachedInputTokens":0,"cost":{"source":"runtime","usdMicros":0},"inputTokens":0,"model":null,"outputTokens":0,"runtime":"claude","turns":1,"wallClockMs":1474}},{"artifacts":[],"attempt":2,"bundleHash":null,"device":"6acf0e9e80693392","findings":[],"hash":"fa60ea05714f2fe3e6799c500fd3eddef398a84100beda6568e1b11452b01a84","nodeId":"6bfad7f1-2e17-4b07-9ca5-3fdd24aa205a","outcome":"failed","summary":"Failed to authenticate: this login reached its time limit and cannot be renewed. Run `claude auth login` to sign in again, or use `claude setup-token` and set CLAUDE_CODE_OAUTH_TOKEN for unattended jobs","treeHash":null,"usage":{"cachedInputTokens":0,"cost":{"source":"runtime","usdMicros":0},"inputTokens":0,"model":null,"outputTokens":0,"runtime":"claude","turns":1,"wallClockMs":1398}},{"artifacts":[],"attempt":1,"bundleHash":null,"device":"5be04216ceafcd2a","findings":[],"hash":"fd3d1812b9ed4743d705cfb7e6d9c4803132331e30d01295b388bded55573609","nodeId":"9c33f46a-471d-48a6-8e73-d12d363b13b7","outcome":"failed","summary":"Failed to authenticate: this login reached its time limit and cannot be renewed. Run `claude auth login` to sign in again, or use `claude setup-token` and set CLAUDE_CODE_OAUTH_TOKEN for unattended jobs","treeHash":null,"usage":{"cachedInputTokens":0,"cost":{"source":"runtime","usdMicros":0},"inputTokens":0,"model":null,"outputTokens":0,"runtime":"claude","turns":1,"wallClockMs":1409}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"2ba32662944f6dfa451d4f6301c56db1c7663e9755b4237b8cbc99248474c4cf","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+8bb77c84"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"2c302dd0bb37d0d0ee3c0f478ef4c35cb4cb79569a16fb869459819782876bdc","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+8bb77c84"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"4d2473f1c404264c89ab9e6bb9225374400e13126ddc2bd3202d90691774c298","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+8bb77c84"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"86e5c32dd614001639602a04dc555bff048ad17fe6b2c09d6507f3b2dbf8a38e","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+8bb77c84"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"89c91574a5cbd594f68416939c205bc51bb85fe463528fd76f66b765f3884dd0","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+8bb77c84"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"8f472b356e9135fa7e9e9a89f75e601cdf673f475e63352fa94737d1995ed81b","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+8bb77c84"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"a82e8eed9ce66b2e5a8edc8e46c0b8e15163e04fd48304be730ac1784ed4b4af","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+8bb77c84"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"c169d2af7da2c49db71e1f46deadbf2f5adead48f04dac4bd26bfac8f1a92ac6","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+8bb77c84"}]}