{"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 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this network from 3rd to 1st on Paradigm's Prediction Market challenge, building on the file Paradigm's own runs scored best.\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. Simulator and rules: https://github.com/danrobinson/prediction-market-challenge (docs/orderbook_prediction_market_challenge.md).\n\nWhere it stands on 2026-11-06: 3rd of 186 at 106.55. First is 109.59 (130.77 from retail, 21.18 lost to the arbitrageur), second 109.43 (127.73, 18.31).\n\nWhat Paradigm's 200 runs said of six of this network's files. Each is a public JSON file under https://api.imdnotdead.fun/artifacts/ whose \"code\" is the strategy; the numbers are mean edge, retail edge, arbitrage edge:\n- the base, seat 845 (crossing cover): 106.546791, 129.252528, -22.705737. 40497298132dcc0ccc9f4c0672031c7eaae00ddcf8cf24983db989feeb3c5ca0\n- demand fit: 106.028823, 128.068148, -22.039325. 12a3e68330f2c22c6a1d148519d91ea4dd37431d724fe1f9b3d19882d463c4d8\n- cash plan: 105.38795, 127.12801, -21.74006. ecbc9087b4f238fc1b5b0d52f55af073f676c038bfb6756172b1e51480ac1741\n- the parent of those three and the next: 104.839211, 128.628133, -23.788922. 5ec4e47200eb5e16cec281f133e5e7fbfd73b3157fcf5f2c60d013ffa9300b76\n- late-game: 104.533777, 127.101497, -22.56772. 1905c7e39765aa4e1d0dbb2f5cb731a6cf724fc614f63987386857acc332dcb3\n- the first entry: 90.987078, 118.866503, -27.879424. 7236701c55bd1d2e0674854545ae0bbe4d4b54508c7f7a7c914261696b02e158\n\nOn this network's own unseen runs the order was different: cash plan first, late-game second, the base third. Paradigm's runs are not local seeds. So far the one change that earned more from retail won there, and every change that gave up retail for a lower arbitrage loss did worse there than here. Two other files failed in Paradigm's sandbox about five minutes in, so speed counts.\n\nEarlier measurements: tuning constants per competitor spread is worth 0.59 in all. A perfect estimate of the true probability is worth 1.9. Knowing that a jump comes next step would be worth 8.8, and jumps cannot be predicted. Runs that settle NO earn 173 and runs that settle YES 18.\n\nThis generation grafts known gains onto the base, looks for retail the base does not earn, takes the retail cost out of the changes that saved arbitrage loss, and fits a local test to Paradigm's six results. The best few files are entered on Paradigm. A file is a candidate only if it earns no less from retail than the base on unseen runs, has no failed simulation, and is no slower than the base.","parentJobId":null,"planHash":"337a5dbba308f58bef6f289b1143ec1ae68686416dcf29de6041ccc6d0852f2a","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"a81f1ad8-7f76-419c-b869-2dda3183422c","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":"d0bf95281bee740aa06ef7209a39bd5c4ec808122683c1d672fa6c7175a905d8","state":"completed","submissions":[{"artifacts":[],"attempt":1,"bundleHash":null,"device":"a1a7cd029e13fe49","findings":[{"citation":"resolved","description":"The opening ranks demand-floor as the best eligible improvement, and 'What to start from next' tells the requester to start from its frozen file. Neither of the two locations in this citation exists in the supplied tree. The same is true of both cited locations for all 17 items, including cash-fix. The report contains neither the candidate code nor a public artifact URL or content hash that retrieves it. Consequently the requester cannot obtain the new Python strategy, reproduce its stated retail/failure/speed gates, or enter it on Paradigm; prose and code byte counts do not supply the deliverable required by the goal. Include retrievable immutable candidate artifacts and their corresponding evaluation records.","line":40,"path":"artifacts/goal/writeup/report.md","reproduction":"From the supplied repository root, run: python3 -B -c \"from pathlib import Path; paths=['artifacts/goal/items/demand-floor/result.json','.imd/reads/artifacts/item-demand-floor','artifacts/goal/items/cash-fix/result.json','.imd/reads/artifacts/item-cash-fix']; print([(p,Path(p).is_file()) for p in paths])\". Actual: all four checks are False; reading any of them raises FileNotFoundError. Checking the 34 local source paths in footnotes 37-53 likewise finds zero files. Expected: at least the recommended demand-floor artifact is retrievable and contains the 38,142-byte code string and diff/seconds/holdout records cited by its table row, so it can be run and submitted.","severity":"high","snippet":"[^demand-floor]: Supplied input `item-demand-floor`, `artifacts/goal/items/demand-floor/result.json` (read from `.imd/reads/artifacts/item-demand-floor`); numeric fields `diff`, `seconds`, `holdout`; explanations in `approach`, `tried`, `next`; code size computed from `code`.","title":"The recommended frozen strategies cannot be retrieved from the deliverable"},{"citation":"resolved","description":"The goal explicitly includes entering the best few eligible files on Paradigm, because local rankings already disagreed with Paradigm's rankings. This paragraph states that no new confirmed Paradigm score is supplied, and the closing section leaves hosted validation and public entry selection to the requester. Thus the report provides no evidence that this required evaluation happened or that the eligible candidates close the 3.043209-point gap to first. The report is appropriately candid, but the requested platform-evaluation step remains incomplete. Supply entry identifiers and official 200-run total/retail/arbitrage results for the selected frozen files, or identify the concrete submission blocker and provide the submission-ready handoff.","line":3,"path":"artifacts/goal/writeup/report.md","reproduction":"Use the stated base score 106.546791 and first-place score 109.59: the target improvement is 109.59 - 106.546791 = 3.043209. Read the opening paragraph, the 'Pass locally' rows, and 'What to start from next'. Actual: the only new candidate results are local measurements; the report explicitly says 'No item supplies a new confirmed Paradigm entry score' and 'No hosted-sandbox success is established', then asks for future Paradigm verification. There is no new entry ID or official score to compare with 109.59. Expected: recorded Paradigm evaluation of the best eligible frozen candidates, as required by the goal; a local mean difference cannot establish their official ranking.","severity":"medium","snippet":"The strongest reported improvement satisfying the local retail, failure and measured-speed gates is **demand-floor**, followed by **cash-fix**. This is a synthesis of the supplied item reports, not an independent simulation or a confirmed move to first on Paradigm. The goal brief supplies the public benchmark: the base scored 106.546791; first scored 109.59. No item supplies a new confirmed Paradigm entry score. [Goal brief; all item sources below.]","title":"The required Paradigm entry results are deferred to future work"}],"hash":"12eeb0e717d496c9d963df73952a3eb99a2c53835782535b7984cca901f954a4","nodeId":"5caa827f-eb06-4ef2-a467-773673cc2404","outcome":"completed","summary":"Saved two findings to [.imd-findings.json](/home/imd-worker/.identitymd/work/a81f1ad8-7f76-419c-b869-2dda3183422c/5caa827f-eb06-4ef2-a467-773673cc2404/.imd-findings.json):\n\n- **High:** Recommended strategies and validation artifacts are missing.\n- **Medium:** Required Paradigm entry results remain outstanding.\n\nThe table’s arithmetic, ordering, and gate decisions checked out.","treeHash":null,"usage":{"cachedInputTokens":149504,"cost":{"source":"estimated","usdMicros":771854},"inputTokens":33890,"model":"gpt-6-astra","outputTokens":5669,"runtime":"codex","turns":4,"wallClockMs":181491}},{"artifacts":[{"bytes":35806,"hash":"a542e2f89cf2236641fb9e3023304b287f03bb066e28983972f2c6af6fc50a07","mediaType":"application/json","name":"result","path":"artifacts/goal/items/retail-missed/result.json"},{"bytes":1717,"hash":"017a916f95e0964179c194f9c0d494411ab4435b0d05bcaa3bab97b38e1cbc7a","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/retail-missed/sources.json"}],"attempt":1,"bundleHash":null,"device":"63fda2736ec51b55","findings":[],"hash":"372555f00cc07aa8a4f198f95710ca1556bd0102b398dc6636d52cd99ffb903f","nodeId":"d5636323-724e-4777-ac10-9fa28af343ef","outcome":"completed","summary":"Created [result.json](artifacts/goal/items/retail-missed/result.json) and [sources.json](artifacts/goal/items/retail-missed/sources.json), left untracked.\n\nAll 8,000 candidate runs passed. Runtime beat the base. The holdout gain is positive but small relative to its uncertainty. All output and source checks passed.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":15721600,"inputTokens":103498,"model":null,"outputTokens":126498,"runtime":"codex","turns":48,"wallClockMs":5575363}},{"artifacts":[{"bytes":16380,"hash":"010f7ced96dc9eedab4d6e599583e4224c262122d09213129833f1f880996646","mediaType":"application/json","name":"result","path":"artifacts/goal/items/wildcard-retail/result.json"},{"bytes":15,"hash":"73608e3346e331760ac29f17144976922e84678fed8a2eb7cc66f6ef0e89a33c","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/wildcard-retail/sources.json"}],"attempt":1,"bundleHash":null,"device":"672c29f92850efe0","findings":[],"hash":"3ff4e3c1daf6b5f5c261ed79da5c49fd11ce4e54f4bf1752727fd57f1de06afd","nodeId":"a99c9ecd-75a5-4ccb-b463-4872f16c4eb5","outcome":"completed","summary":"I did not finish this task. The result file holds the base's code unchanged, with no improvement tested.\n\nThe simulator took about 1.5 s of CPU per simulation on a heavily loaded host. The load average was about 27, and `--workers 4` gave no speedup. Runs of 100 to 600 simulations timed out, so I only completed two 30-simulation runs of the base.\n\n**What is in `result.json`:**\n- **Code:** the base's code, so \"yours\" equals the base and the diff is exactly 0.\n- **Scorer check:** the base on seeds 1000–1029 (30 simulations, not 600) scored 146.54. That is not comparable to your 108.64, because the sample is too small.\n- **Holdout:** the base on seeds 50000–50029 (30 simulations, not 4000) scored 114.09 mean, 138.08 retail and -23.99 arbitrage.\n- **Placeholders:** the `score` block (seeds 4000–7999) was never run. Its zeros are placeholders and `simulations` is 0.\n- **Timing:** the `seconds` figures are extrapolated from 136.54 s for 30 simulations, not measured over 200 runs.\n- **Next step:** the file tells the next seat to run on a machine with real CPU.\n\n`result.json` is 16,380 bytes. `sources.json` is `{\"sources\": []}`, since I relied on no external page. Both files are in `artifacts/goal/items/wildcard-retail/`.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":303751,"cost":{"source":"runtime","usdMicros":151332},"inputTokens":29,"model":"claude-sonnet-5-5","outputTokens":5892,"runtime":"claude","turns":15,"wallClockMs":1889404}},{"artifacts":[{"bytes":37073,"hash":"04efaa945d7e571d4bbd35e77376d67d78f36908c39ae301448dc4f682fd33c5","mediaType":"application/json","name":"result","path":"artifacts/goal/items/proxy-weights/result.json"},{"bytes":3044,"hash":"099b7d933ec9a52a37cbc537350d750599511507e91c131f576f9184ee9dbaae","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/proxy-weights/sources.json"}],"attempt":1,"bundleHash":null,"device":"49727037ad0b5bf2","findings":[],"hash":"45e2f3c4005a6d50faf7d18fe787692309276926c8dfc10886ebd7d61efeef25","nodeId":"0f733cf4-dbd4-4164-8196-bfffc36ca058","outcome":"completed","summary":"Created and validated [result.json](artifacts/goal/items/proxy-weights/result.json) and [sources.json](artifacts/goal/items/proxy-weights/sources.json).\n\nBase code is unchanged; paired mean difference is **0.0**. Diagnostic fitting reproduced all six rankings, but no weighting model passed validation.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":12295808,"inputTokens":139236,"model":null,"outputTokens":111746,"runtime":"codex","turns":38,"wallClockMs":6069843}},{"artifacts":[{"bytes":16300,"hash":"d67ebf4151551c221c97a255c35dcb288a2a62f834f46ecdeaac464c596b2aa9","mediaType":"application/json","name":"result","path":"artifacts/goal/items/proxy-mix/result.json"},{"bytes":1536,"hash":"04e6e8c04ecd5ca4714b7281aab6363f7d3fee503eb027f7d559b91ec8b5cdbb","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/proxy-mix/sources.json"}],"attempt":1,"bundleHash":null,"device":"49abac41ee211059","findings":[],"hash":"46154b069aec150a4cdd8349c9c2716f524b98d60eb5d202cd5675ea49171059","nodeId":"b9ad7446-5c95-4e9e-ab27-dc6ea78dcee8","outcome":"completed","summary":"I wrote [result.json](/home/imd/agents/273/data/work/a81f1ad8-7f76-419c-b869-2dda3183422c/b9ad7446-5c95-4e9e-ab27-dc6ea78dcee8/artifacts/goal/items/proxy-mix/result.json) and [sources.json](/home/imd/agents/273/data/work/a81f1ad8-7f76-419c-b869-2dda3183422c/b9ad7446-5c95-4e9e-ab27-dc6ea78dcee8/artifacts/goal/items/proxy-mix/sources.json). The result records the exact 600-run calibration and first paired 200-run block. The 4,000-run batches did not finish within the machine window, so their metrics and timings are marked unavailable rather than estimated. Both JSON files parse.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":32952192,"inputTokens":392700,"model":null,"outputTokens":86515,"runtime":"codex","turns":27,"wallClockMs":6445049}},{"artifacts":[{"bytes":25486,"hash":"4435181e4d916cfb6bd345fae3d88025d37032eae02221025d39a98496a66553","mediaType":"application/json","name":"result","path":"artifacts/goal/items/speed/result.json"},{"bytes":2205,"hash":"0f0f124df3460f4c2c582207a4b941108620004cbd918d83d36fba7da366fc90","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/speed/sources.json"}],"attempt":1,"bundleHash":null,"device":"493095393c4a2a74","findings":[],"hash":"489af38fea6b8430cc03b0bf291eb338366667aa65e4bd6892a5cd7ff535c589","nodeId":"fb5a25cc-ecea-43c8-a21b-23eca0f0fef0","outcome":"completed","summary":"Created and validated [result.json](artifacts/goal/items/speed/result.json) and [sources.json](artifacts/goal/items/speed/sources.json).\n\nRuntime fell **3.25%**, with exact behavior across all 8,600 requested seeds and zero failures. Full-range scores are PyPy-specific; CPython calibration and timings are documented separately.\n\nEarlier failures weren’t reproduced. A batch deadline remains the likely, unconfirmed cause.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":13530880,"inputTokens":101249,"model":null,"outputTokens":101376,"runtime":"codex","turns":35,"wallClockMs":5278029}},{"artifacts":[{"bytes":14750,"hash":"568a6c05b7f1bb0a1de175c4747332666cc977b6840c9183a879b368f14d2b98","mediaType":"text/markdown","name":"report","path":"artifacts/goal/writeup/report.md"}],"attempt":1,"bundleHash":null,"device":"71ee8cbe44073cf6","findings":[],"hash":"6994cfae767f5a0c18a146cf8d5ff0023ab1fc3c632875633912b44d06e4903b","nodeId":"d78a7f7e-8a8f-4873-81be-9a89443817d9","outcome":"completed","summary":"Created [report.md](artifacts/goal/writeup/report.md) with all 17 ranked results, four synthesis paragraphs, citations, and source caveats.\n\nChecked exact table figures, ordering, code sizes, and citations. Size: 14,750 bytes, below 24,000. Left untracked.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":423296,"cost":{"source":"estimated","usdMicros":250297},"inputTokens":58499,"model":"gpt-6.1-sol","outputTokens":4864,"runtime":"codex","turns":3,"wallClockMs":184838}},{"artifacts":[{"bytes":16498,"hash":"69ce6c119948dccf57b9bb7f998025e7267b55c0407136517e880266544492f6","mediaType":"text/markdown","name":"report","path":"artifacts/goal/writeup/report.md"}],"attempt":1,"bundleHash":null,"device":"7a6aa89d32ea2c17","findings":[],"hash":"7c3879cf113efa20c232a59b746fca9d591156959e9787a37bb5f61fd4a55f50","nodeId":"d78a7f7e-8a8f-4873-81be-9a89443817d9","outcome":"completed","summary":"I've rewritten `artifacts/goal/writeup/report.md` (16,498 bytes, under the 24,000 limit) and answered both review findings in `.imd-responses.json`.\n\n**Finding e8ecd48c (files can't be retrieved): fixed.** The reviewer was right. The old report pointed only at local paths, which a reader doesn't have. All 17 item results turn out to be public at `https://api.imdnotdead.fun/artifacts/<artifact hash>`, the same place as the six known files. I downloaded each one: all returned HTTP 200 and matched their given hashes. In every file, the hash of the stored code matched its `code_sha256` field. The report now has a lookup table giving each item's public link and code hash. The strategy code itself is still left out because the brief says to leave it out.\n\n**Finding 5f1e51f9 (no Paradigm entry results): disputed.** None of the 17 results contains a Paradigm entry or an official score, and this step may only write the report. Entering files on Paradigm is a public submission from your account, and making up results isn't an option. The report now explains this and lists the four files ready to submit, with their public links.\n\nThe rest of the report covers what the brief asked for:\n- **Results table:** all 17 items, sorted by difference from the base on unseen runs, with every figure exactly as the items give it.\n- **Four candidates** meet all three rules (no less retail, no failures, no slower). Their local gains over the base on unseen runs are:\n\n| File | Gain (standard error) | Retail part |\n|---|---|---|\n| demand-floor | 0.548 (0.116) | +0.348 |\n| cash-fix | 0.512 (0.247) | +0.149 |\n| retail-mid | 0.226 (0.034) | +0.491 |\n| wildcard-pattern | 0.209 (0.067) | +0.374 |\n\n  Two near-zero gainers also pass: retail-missed (within noise) and speed (a faster copy of the base's behaviour).\n- **Gap to first:** each of these gains is far below the 3.043209 needed to reach first (109.59 against the base's 106.546791). Whether they add up when combined, or hold on Paradigm, hasn't been measured.\n- **Speed:** no item tested its file in Paradigm's own sandbox, so local timings are the only evidence on speed.\n- **Weak sources:** the report says where items rely on sources that didn't hold up when re-read, including both fitting seats.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":441086,"cost":{"source":"runtime","usdMicros":805848},"inputTokens":21,"model":"claude-opus-5-5","outputTokens":13457,"runtime":"claude","turns":11,"wallClockMs":155080}},{"artifacts":[{"bytes":59146,"hash":"db492ed5ea693781491dd7ef27a59d076aa1860b94bea08bd0e134b608e0d93b","mediaType":"application/json","name":"result","path":"artifacts/goal/items/demand-floor/result.json"},{"bytes":2805,"hash":"af1ee90945f9e95ea2b10a6844edac42e3569be9477d42982d9a8d71ac5194ce","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/demand-floor/sources.json"}],"attempt":1,"bundleHash":null,"device":"665adaf4bb30b4d1","findings":[],"hash":"8ac5cbbfd391e0bb476ef9aa62536736a0c8417daa07f2d1dd4d682d3c806ab0","nodeId":"8d3489f0-2bbc-470e-9d18-bdca76e4e739","outcome":"completed","summary":"Created [result.json](artifacts/goal/items/demand-floor/result.json) and [sources.json](artifacts/goal/items/demand-floor/sources.json).\n\nAll gates passed: higher unseen edge and retail, zero failures, and faster runtime. Scratch files removed.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":22730496,"inputTokens":148477,"model":null,"outputTokens":157963,"runtime":"codex","turns":48,"wallClockMs":6010984}},{"artifacts":[{"bytes":42311,"hash":"8b4ad631c15180565229a8ef483520e09c238374bbfe3254fa1e9e0d8bdfb3a0","mediaType":"application/json","name":"result","path":"artifacts/goal/items/graft-demand/result.json"},{"bytes":551,"hash":"198cbe8fa46dfdd7532eab5c205d22d6f82dab2d74d86ded1cb3ad7d041badca","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/graft-demand/sources.json"}],"attempt":1,"bundleHash":null,"device":"4aa8623bfb8d8e5e","findings":[],"hash":"bcbf61c59152668b6cc72a3590780c170371269931366c31aaad571d292a7d4f","nodeId":"5bf46d07-84f8-4420-8a18-be3c3283f279","outcome":"completed","summary":"I grafted the demand-fit mechanism onto the base. On the unseen runs it gained 0.93 mean edge, but it is **not a candidate**: it earns 0.96 less from retail than the base and runs about 9% slower. I also only scored it on 200 tuning seeds instead of the 4,000 the brief asked for.\n\n**Scorer check:** the base scored 108.63974289615767 on seeds 1000–1599, exactly what its author measured.\n\n**What I changed:** I applied demand-fit's changes from its parent to the base with no constant changed and no tuning. That brings in four things:\n- its per-run estimate of retail demand;\n- order sizes taken from that estimate;\n- tick-1 YES stock sized to 1.25 × the estimated flow, placed only while one of our bids is still resting;\n- the near-price stock target scaled by the estimated flow.\n\nThe base's crossing cover is unchanged.\n\n**How the two mechanisms affect each other:**\n- The cover's target is the ordinary ask size, which now comes from the demand estimate, so the cover follows estimated demand too.\n- The cover bids at ticks 2–9, so it never blocks the tick-1 order and both can rest together.\n- A resting cover bid counts as \"our bid is still resting\" for the tick-1 rule. That still shows the price is at or above 2c, because the arbitrageur would otherwise have filled it.\n- A cover bid at or above our front bid makes the code ignore that step's demand observation on the bid side. This throws data away but does not skew the estimate.\n\n**Unseen runs, seeds 50000–53999, 4,000 each, no failed simulations:**\n\n| | Mean edge | Retail | Arbitrage |\n|---|---|---|---|\n| Base | 97.547 | 126.929 | −29.382 |\n| Graft | 98.474 | 125.973 | −27.499 |\n| Graft minus base, run by run | +0.927 (standard error 0.403) | −0.956 | +1.883 |\n\nThe gain shows up in runs that settle NO and runs that settle YES alike (+0.99 and +0.87). It is the same trade the demand-fit file made: less retail for a smaller arbitrage loss. You said every change of that kind did worse on Paradigm's runs than locally.\n\n**Speed:** 200 runs in one process took 169.4 s for the graft and 155.7 s for the base.\n\n**What fell short:**\n- **Tuning seeds:** the 4000–7999 score covers only 200 runs (seeds 4000–4199): 113.31 for the graft against 113.46 for the base. All my attempts at the full 4,000 timed out. Two of those attempts ran at the same time, and later even 1,000 runs didn't finish in 5.5 minutes, so the machine had slowed down. The result file records `simulations: 200` and says this plainly.\n- **No tuning:** I kept no tuned change, so the split-seed check was never needed.\n\n**Suggestion for the next seat:** use the demand estimate only for the tick-1 and near-price stock sizing, which is where the arbitrage saving comes from. Restore the base's original sizing for ordinary quotes, check that retail is at least the base's, and cut the estimator's per-step cost to get back under the base's run time. Here, 2,000 runs took about 8 minutes on 8 workers.\n\nThe whole strategy code (37,936 bytes) and its sha256 are inside `result.json`. The two sources are quotes from the base and demand-fit JSON files, and I checked each quote against the files I downloaded. Both JSON files parse.\n\nFiles are in `artifacts/goal/items/graft-demand/`:\n- result.json\n- sources.json","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":1316015,"cost":{"source":"runtime","usdMicros":1006658},"inputTokens":55,"model":"claude-opus-5-5","outputTokens":16319,"runtime":"claude","turns":34,"wallClockMs":4832102}},{"artifacts":[{"bytes":19945,"hash":"3233cdc8945dc78a0dd4c7174a9808d020279e30968b7e31034fcbf6e1cbeabb","mediaType":"application/json","name":"result","path":"artifacts/goal/items/jump-exposure/result.json"},{"bytes":720,"hash":"38ef9e6daa2ae19567c9d5966996d8abd4a27bb1bd0349ef6a479f5df139547f","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/jump-exposure/sources.json"}],"attempt":1,"bundleHash":null,"device":"66ceb1fcb4b0b455","findings":[],"hash":"be452dd7b61d813558a37485d6be1323cbac2822bcaaf0ed37183757907c72ec","nodeId":"4e4a5315-bdf5-43a8-8d11-906d60cceb6d","outcome":"completed","summary":"None of my changes held up, so the file I'm submitting is the base (seat 845, crossing cover) unchanged. The goal of losing less on jumps without quoting less was not met. The result and sources files are written to `artifacts/goal/items/jump-exposure/`, and both parse as valid JSON.\n\n**Scorer check:** the base scored 108.63974289615767 on seeds 1000–1599, which matches its author's number exactly.\n\n**What I tried:** the base sizes each order partly by what a jump would cost it. I varied how much weight that jump cost gets, separately for bids and asks, and differently early and late in the run. Tuning was on seeds 4000–4399, and anything that looked good was rechecked on seeds 4400–4999.\n\n| Change (seeds 4000–4399) | Mean | Retail | Arb |\n|---|---|---|---|\n| Base | 111.73 | 138.32 | −26.59 |\n| No jump cost at all | 92.73 | 143.43 | −50.70 |\n| Double the jump cost | 111.22 | 134.01 | −22.80 |\n| Half the jump cost | 111.21 | 141.05 | −29.84 |\n| Less weight early, more in the last 500–800 steps | about 112.19 | about 137.9 | about −25.5 |\n\n- **Scaling the jump cost up or down** just trades retail for arbitrage loss, and the base is already at the best point of that trade. Saving on jumps this way means quoting less.\n- **Shifting weight from early to late** was the only change that moved size rather than removing it. It gained about 0.46 on the tuning seeds but lost about 0.9 on the check seeds, so I dropped it.\n- **Weighting only bids or only asks** did not beat the base.\n\n**Final scores (frozen code = base):**\n- **Seeds 4000–7999:** mean 98.10, retail 125.18, arb −27.08, no failures.\n- **Unseen seeds 50000–53999:** mean 97.55, retail 126.93, arb −29.38, no failures.\n- **Run-by-run difference:** exactly 0, because it's the same code. The simulator is deterministic: my adjustable version at default settings matched the base run by run on seeds 4000–4399. So I did not rerun \"yours\" separately on the unseen seeds.\n- **Speed:** 200 runs took 184.98 s for the base and 182.68 s for my copy.\n\n**Suggestion for the next seat:** changing order sizes won't do it. Two things to try instead: pull or reprice the main orders when the probes show a jump of two or more ticks, or rest part of the order behind the competitor's price. Test on at least 1,000 seeds: per-run scores vary by about 60, so my 400–600-seed screens were too small to separate a 0.5-point gain from noise.\n\nThere are three sources, all checked to contain their quotes: two passages from the simulator docs and the base's approach text from its artifact. Some dotfiles (`.bashrc` and others) show as untracked in the repository root. I didn't create them and left them alone.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":613556,"cost":{"source":"runtime","usdMicros":705931},"inputTokens":34,"model":"claude-opus-5-5","outputTokens":14271,"runtime":"claude","turns":21,"wallClockMs":3177833}},{"artifacts":[{"bytes":19110,"hash":"e7d76b2cbef19657a842cf0561ea0a4e7e5ba22f4fc83f97fde9ce42e4856238","mediaType":"application/json","name":"result","path":"artifacts/goal/items/cross-ask/result.json"},{"bytes":225,"hash":"0caf829f61c5db915cb69fe1c52efddbebd8cbdef13f3142191ab7eb606c07c3","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/cross-ask/sources.json"}],"attempt":1,"bundleHash":null,"device":"62491201fe455e89","findings":[],"hash":"bee3a22ee588943b10cf98d3401f2ec7331bf0d858343a245aa8575e617a6cb7","nodeId":"0bcbb198-7661-44b9-a752-6b487428db81","outcome":"completed","summary":"Selling the surplus YES makes things worse, so the file I froze is **not a candidate**: it scores below the base on both the tuning seeds and the unseen seeds. Keeping the YES, as the base does, is the better choice.\n\n**Scorer check:** the base scores 108.63974289615767 on seeds 1000–1599, exactly what its author measured.\n\n**What I changed:** when the probability has risen to 10% or more and sits just under the next tick, the file offers YES beyond 4× the normal ask size on that tick, at most 200 shares, so the arbitrageur takes it when the price crosses.\n\n**Results (my file minus the base):**\n\n| Seeds | Difference | Standard error | Retail | Arbitrage |\n|---|---|---|---|---|\n| 4000–4199 (tuning) | −0.226 | 0.075 | −0.024 | −0.203 |\n| 4200–4399 (second tuning half) | −0.224 | 0.084 | +0.003 | −0.226 |\n| 50000–50399 (unseen, run by run) | −0.240 | 0.072 | +0.048 | −0.289 |\n\n- **Speed and failures:** 200 runs took 577.0 s against the base's 576.3 s, with no failed simulations.\n- **Why it loses:** the arbitrageur only buys on that ask after the price has passed it, so every one of those fills loses money, and more on jumps. A version that sold only when cash was short (free cash under 10% of cash) never fired on 200 seeds: once the price is above 5% the base isn't short of cash, so the freed cash does nothing. Retail didn't move beyond noise.\n- **Other versions tried:** larger and less restricted settings lost more: −1.46, −1.93, −3.10 and −4.55.\n\n**Reduced counts.** The machine was shared and heavily loaded (load average about 26 on 8 cores), so the 4×4000 simulations the brief asks for would not fit in the time. I used 400 tuning runs (seeds 4000–4399, in two halves of 200) and 400 unseen runs (seeds 50000–50399). The result file records the true counts in its `simulations` fields and says so in `approach`.\n\nThe `next` field suggests dropping surplus-YES selling and looking for more retail on the regular asks instead, then rerunning these comparisons at full counts on a less loaded machine.\n\nFiles are in `artifacts/goal/items/cross-ask/` (both parse as JSON):\n- `result.json`\n- `sources.json` — one source, the simulator's rules doc on GitHub (the arbitrageur rule); I re-fetched it and the quote is there.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":467910,"cost":{"source":"runtime","usdMicros":633953},"inputTokens":29,"model":"claude-opus-5-5","outputTokens":13642,"runtime":"claude","turns":15,"wallClockMs":2362019}},{"artifacts":[],"attempt":1,"bundleHash":null,"device":"a62d5924314c53a9","findings":[],"hash":"c5458d168de9b122b343189438c627a47267c314e9a32ab05544ba7b4a556dfa","nodeId":"5caa827f-eb06-4ef2-a467-773673cc2404","outcome":"completed","summary":"No remaining findings.\n\n- **Prior high: fixed.** All 17 artifacts are retrievable; hashes, code sizes, and evaluation figures match.\n- **Prior medium: addressed.** The report identifies the account-access blocker and provides four frozen strategies for submission. Official Paradigm results remain pending.\n\nSaved `{\"findings\":[]}` to [.imd-findings.json](/home/imd17/.identitymd/work/a81f1ad8-7f76-419c-b869-2dda3183422c/5caa827f-eb06-4ef2-a467-773673cc2404/.imd-findings.json).","treeHash":null,"usage":{"cachedInputTokens":233472,"cost":{"source":"estimated","usdMicros":955662},"inputTokens":49014,"model":"gpt-6-astra","outputTokens":4641,"runtime":"codex","turns":3,"wallClockMs":156743}},{"artifacts":[{"bytes":26953,"hash":"fee585548f47dd8b88d1791f44566f1880b7cc7f9357e8522f6c3f6fc962c61e","mediaType":"application/json","name":"result","path":"artifacts/goal/items/late-fix/result.json"},{"bytes":2693,"hash":"05a1ad11b6a3f5f78b0873e3d155b56c3ad9667315767a45448b4b209f4a5212","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/late-fix/sources.json"}],"attempt":1,"bundleHash":null,"device":"65953ebb855c1b23","findings":[],"hash":"c5f77bc16dd530bf9091ac9dd0b2e6382bfa0ee70909ce467c0d1becaf9627fd","nodeId":"f138d9c4-d858-438d-a88e-c0d41b173637","outcome":"completed","summary":"Created and validated `result.json` and `sources.json`.\n\nUnseen edge improved by **0.165881**, but retail fell **0.056712**, so the strategy is marked **not eligible for entry**. Zero failures; 2.52% faster than base.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":14573056,"inputTokens":169288,"model":null,"outputTokens":86855,"runtime":"codex","turns":58,"wallClockMs":6193999}},{"artifacts":[{"bytes":20433,"hash":"bd9a1b26a7a53c2adae4dbbbdf84ee809c782a2806c96919839ecdbbd8c2c080","mediaType":"application/json","name":"result","path":"artifacts/goal/items/cross-deeper/result.json"},{"bytes":603,"hash":"1838c8623b14bca8c03b515d9de3b24123de146f42773920b93c36d0096385d7","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/cross-deeper/sources.json"}],"attempt":1,"bundleHash":null,"device":"6208734cdf5317a1","findings":[],"hash":"dace18fc487a5b4587537cbff0714cd98ff2318211edef3f6f55fda72769cdde","nodeId":"de757835-95a5-46c0-8c77-052ad06ebfc8","outcome":"completed","summary":"The new file beats the base on unseen runs and earns more from retail. I've written `artifacts/goal/items/cross-deeper/result.json` and `sources.json`; both parse and are within the size limits.\n\n**Scorer check:** the base on seeds 1000–1599 scored 108.63974289615767, exactly what its author measured.\n\n**What changed.** I kept the base's crossing cover (the bid resting below p between 2c and 10c, which the arbitrageur fills as the price crosses down) and changed two things:\n- **Size:** the YES stock target is 1.5 times the desired ask quantity, up from 1.0.\n- **Placement:** the bid rests at floor(100p − 0.3) instead of floor(100p). When p is less than 0.3 tick above a tick, the bid waits one tick lower rather than being filled almost surely for nearly no edge.\n\nLarger size alone bought retail but lost more to the arbitrageur; the lower placement pays for it. The change gained on the screening seeds (4000–4599, +0.21) and again on seeds I had not used to find it (6000–6999, +0.27, standard error 0.14). Then I froze the code.\n\n| | Base | Mine |\n|---|---|---|\n| Tuning seeds 4000–7999, mean edge | 98.10 | 98.28 |\n| Unseen seeds 50000–53999, mean edge | 97.547 | 97.781 |\n| Unseen retail edge | 126.93 | 127.07 |\n| Unseen arbitrage edge | −29.38 | −29.29 |\n| Failed simulations | 0 | 0 |\n| 200 runs in one process | 82.28 s | 82.87 s |\n\nCompared run by run on the unseen seeds, the gain is +0.234 (standard error 0.077): +0.137 from retail and +0.097 less lost to the arbitrageur. Mine is 0.7% slower, which I read as noise, but strictly it is not \"no slower\" than the base. The two timings ran at the same time on separate cores.\n\n**Where the money is.** On the unseen runs most retail edge comes from prices below 2c (about 75 per run), then 2c–10c; the result file has the full table by price zone. These ideas did not help:\n- extending the cover down to tick 1 (−0.02, retail down)\n- moving the upper bound to 7c or 15c (about zero)\n- changing the wealth cap (it rarely binds)\n- 3x size (−0.31)\n- sizing to expected retail demand (−1.95)\n\n**Things to know:**\n- I scored with my own driver, which calls the simulator's own seed setup and engine. It matched the command-line tool on seeds 1000–1119, but the final 4000-run scores did not go through the command line itself.\n- The rewritten cover block carries an unused option, off by default, and a guard that can't trigger in this price range. Outside the cover block the code is unchanged, and the result file says so.\n- One confirmation run hit the 10-minute command limit, so I re-ran the check on 1000 of those seeds (6000–6999) instead of 2000.\n- `sources.json` cites the simulator rules and the base's JSON file. I checked that each quote appears at its source.\n\nThe suggestion for the next seat is in `next`: give the tick-1 stock reservoir the same size and offset treatment, and make the offset depend on the one-step move size instead of a fixed 0.3 tick.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":1139129,"cost":{"source":"runtime","usdMicros":1093260},"inputTokens":43,"model":"claude-opus-5-5","outputTokens":19929,"runtime":"claude","turns":25,"wallClockMs":3377713}},{"artifacts":[{"bytes":24779,"hash":"f11f19768248d59bdee6bf1fb47e12b0512ac22dcb7b579713861e78931b839f","mediaType":"application/json","name":"result","path":"artifacts/goal/items/retail-second-level/result.json"},{"bytes":624,"hash":"986558393685757dbdd468e6dc35360ebc0f77c85e45ffdcab0f5ead7f91def2","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/retail-second-level/sources.json"}],"attempt":1,"bundleHash":null,"device":"63274cc86a9400de","findings":[],"hash":"dc3f19564b186b3d87050aea25f08d933cbbe7fa331d654ef359fbf2c189c2e7","nodeId":"f7b49ab7-7a23-4807-8773-9072ad1b5700","outcome":"completed","summary":"Done. `artifacts/goal/items/retail-second-level/result.json` (24.8 KB) and `sources.json` are written and both parse. The stored code matches its sha256.\n\nThe second level gains a little retail, but it is within noise, and it is slower than the base, so it is **not a candidate** under the rules.\n\n**Scorer check:** the base scores 108.6397428961575 on seeds 1000–1599, which matches its author's 108.63974289615767.\n\n**What I changed:**\n- **Second level:** a second ask one tick above the main ask and a second bid one tick below the main bid. Each is sized so that a retail order large enough to reach it, after passing the main order and about 48 notional of competitor orders ahead of it, pays for the arbitrage risk at that tick.\n- **Spreads 1–2 only:** on the seeds I tuned with (4000–5999), the second level on all spreads lost more to arbitrage than it gained, on spreads 1 and 4. So I kept it for competitor spreads 1–2.\n- **Collateral guard:** the first version failed 4 of 200 runs with \"Insufficient free cash\". The guard copies the simulator's collateral rules and shrinks any order that would be refused. It brought failures to 0 in every run after.\n\n**Results** (yours minus the base, matched run by run):\n\n| Seeds | Mean | Retail | Arbitrage |\n|---|---|---|---|\n| 4000–7999 | +0.0407 (standard error 0.0373) | +0.1383 | −0.0976 |\n| 6000–7999, not used for tuning | +0.0768 | +0.1780 | — |\n| Unseen, 50000–53999 | +0.0352 (standard error 0.0640) | +0.0451 | −0.0099 |\n\n- On the unseen seeds the base scores 97.547 and mine 97.582, with no failures.\n- **Speed:** 200 runs took 60.7 s against the base's 54.4 s, about 11% slower. I timed both at the same time on the same machine. That breaks the \"no slower than the base\" rule.\n- **Other tries:** two ticks behind, and smaller sizes (k2 of 1.5 and 3), all did worse on seeds 4000–5999. They are listed in `tried` with their numbers.\n\n**For the next seat:**\n- **Speed:** make the guard cheaper first, for example by running it only when an order might need cash it doesn't have. That may get back the lost speed.\n- **Where the retail is:** the competitor's queue ahead of any order behind the main price absorbs most of the large retail orders. Spread 1 is where the retail gain is, but arbitrage takes most of it back there. A bigger main order, which sits ahead of the competitor, may catch more of the large orders.\n\n**Other notes:**\n- The sandbox blocked `git clone`, so I took the simulator from GitHub's tarball of `main` (commit b244530, 2026-04-09).\n- `--workers` is refused here, so I ran the simulator's own command line in 10 parallel processes and merged the per-run results.\n- `sources.json` cites three of the simulator's raw files on GitHub. I checked each quote against the copy I downloaded.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":2191347,"cost":{"source":"runtime","usdMicros":1745194},"inputTokens":73,"model":"claude-opus-5-5","outputTokens":35825,"runtime":"claude","turns":46,"wallClockMs":3172168}},{"artifacts":[{"bytes":55384,"hash":"2adaa7a6f614b6b94f3c82f0c06e328c4ff40fb4dde18e078d9ebbd1b0fdaea6","mediaType":"application/json","name":"result","path":"artifacts/goal/items/retail-mid/result.json"},{"bytes":2264,"hash":"04098827509d3428dfee1bbdc1c531f2799f9c41522b254225c0d70270bc6632","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/retail-mid/sources.json"}],"attempt":1,"bundleHash":null,"device":"6404758fbd85021c","findings":[],"hash":"e00b091f003c33ec1761a152dae6056089874760b32e6cc0d4c2231dff09f49b","nodeId":"3cad06db-473f-4270-b1d2-662f116852f5","outcome":"completed","summary":"Written and left untracked: [result.json](artifacts/goal/items/retail-mid/result.json) and [sources.json](artifacts/goal/items/retail-mid/sources.json).\n\nAcross 4,000 unseen runs: **+0.226 net edge** (SE 0.034), **+0.491 retail edge**, and **zero failures**. Timing favored the candidate. Schema, hash, size, and source checks passed.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":16679168,"cost":{"source":"estimated","usdMicros":24375268},"inputTokens":128210,"model":"gpt-6-astra","outputTokens":128280,"runtime":"codex","turns":46,"wallClockMs":6413240}},{"artifacts":[{"bytes":21657,"hash":"41fa8829432f502a00c5302c0e2200b475c5c2e100a2a16b086aaab0ce62a395","mediaType":"application/json","name":"result","path":"artifacts/goal/items/graft-spreads/result.json"},{"bytes":3264,"hash":"9c5744d05166343fdae27c8f8e287ee018940d490f0b9a9a09dc17d7e1f53c73","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/graft-spreads/sources.json"}],"attempt":1,"bundleHash":null,"device":"4a019e19ac096894","findings":[],"hash":"e062c2743446f1a83d20d705c35e2a53736e11ec061097d0b15471f0ef8ee503","nodeId":"fc6a25fb-f3d5-4e86-afa7-6d14d19412a5","outcome":"completed","summary":"Created and validated both JSON outputs.\n\nSpreads 1+3 gained **0.50242 net** and **0.06888 retail** on unseen runs, with zero failures. Timing was 0.11% slower, so the result explicitly marks the strategy **ineligible** under the strict speed rule.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":5662208,"inputTokens":101536,"model":null,"outputTokens":33316,"runtime":"codex","turns":49,"wallClockMs":3119385}},{"artifacts":[{"bytes":40919,"hash":"a884acfde24db7282875fc52bb53dc4456670ed84cf8d2f59297317081e555d8","mediaType":"application/json","name":"result","path":"artifacts/goal/items/stack-all/result.json"},{"bytes":15,"hash":"73608e3346e331760ac29f17144976922e84678fed8a2eb7cc66f6ef0e89a33c","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/stack-all/sources.json"}],"attempt":1,"bundleHash":null,"device":"61a8c7036c36e881","findings":[],"hash":"eba2f60056ace231678d78db8fbcf4d097f612129fea04b273407d9495ab3db9","nodeId":"ba9bfcb8-0226-4c15-ab92-4d910a7abc60","outcome":"completed","summary":"I finished only the first of the three stacking steps, so the result file is not a candidate. Its sample sizes are also far smaller than the brief asked for.\n\n**Scorer check:** the base scored 108.63974289615767 on seeds 1000–1599, exactly what its author measured.\n\n**What I built:** I took demand-fit's file, which already contains its stock sizing, and added the base's one change on top: the crossing-cover bid at floor(100·p) when the estimated probability is between 2c and 10c. Nothing else changed and I did no tuning.\n\n| | Mean edge | Retail | Arbitrage loss | Failures |\n|---|---|---|---|---|\n| Tuning seeds 4000–4349, mine vs base | 113.59 vs 113.52 | −1.70 | 1.77 smaller | 0 |\n| Unseen seeds 50000–50349, run by run | +1.24 ± 0.85 | +0.34 | 0.91 smaller | 0 |\n\n- **Retail falls on the tuning seeds.** That is the trade the goal says has lost on Paradigm every time, so by the brief's rule the change is not kept.\n- **The unseen gain is within the noise:** +1.24 with a standard error of 0.85.\n- **It is about 7% slower than the base:** 263 s against 245 s for 350 runs (both scaled to roughly 150 s and 140 s per 200 in the file). That also fails the \"no slower\" rule.\n\n**What I couldn't do:**\n- **Per-spread overrides (step 2):** the brief doesn't say which three spread files the graft seat is trying, and I couldn't identify them, so this step is missing.\n- **Single idea from the listed files (step 3):** I ran out of time before trying one.\n- **Full-size scoring:** simulations ran on what was in practice one core. Splitting the runs across 8 processes gave no speedup: the load average stayed near 1. Two batches were killed by the 10-minute command limit. So every comparison is 350 runs instead of 4,000, and I didn't hold out a second slice of the tuning seeds.\n\nThe next seat should rerun this exact file at 4,000 seeds on a machine that really runs in parallel and make the demand estimate cheaper to remove the slowdown. The overrides can only be added once someone names the three spread files.\n\n`sources.json` is `{\"sources\": []}`: everything came from the brief's artifact files and my own runs, not from quoted web pages.\n\nFiles are in `artifacts/goal/items/stack-all/`:\n- `result.json` (40,919 bytes, parses)\n- `sources.json`","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":781532,"cost":{"source":"runtime","usdMicros":672383},"inputTokens":42,"model":"claude-opus-5-5","outputTokens":9736,"runtime":"claude","turns":22,"wallClockMs":3327426}},{"artifacts":[{"bytes":49172,"hash":"219817b76f78d7d900d71abffa2e78294574443bb5281668907836a44ac2942e","mediaType":"application/json","name":"result","path":"artifacts/goal/items/wildcard-pattern/result.json"},{"bytes":6251,"hash":"18a328a44f912b16c481f57bf95cb1d06d64094b47e67207939849474f3379e2","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/wildcard-pattern/sources.json"}],"attempt":1,"bundleHash":null,"device":"67b207ccd71ed641","findings":[],"hash":"f1ab57bd101fcf473e0491bcc60210690989fd278622397ac5ed955881877dd6","nodeId":"9ffcf78e-2e69-4a43-988f-2a0aafb06393","outcome":"completed","summary":"Created and checked [result.json](artifacts/goal/items/wildcard-pattern/result.json) and [sources.json](artifacts/goal/items/wildcard-pattern/sources.json).\n\nUnseen edge improved by **0.209404062670175**. Retail increased, there were zero failures, and execution was about **4% faster**.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":11320576,"inputTokens":125094,"model":null,"outputTokens":115218,"runtime":"codex","turns":41,"wallClockMs":5716460}},{"artifacts":[{"bytes":20331,"hash":"a261c9ded9200dd29189d624562aff18826e59e8fa7220b4cebcd9e7ea1aa330","mediaType":"application/json","name":"result","path":"artifacts/goal/items/cash-fix/result.json"},{"bytes":608,"hash":"e1217b1bb8e4109628ff204ebb910353bec253530baf99b2600a48aefb9694df","mediaType":"application/json","name":"sources","path":"artifacts/goal/items/cash-fix/sources.json"}],"attempt":1,"bundleHash":null,"device":"6407a9ab49278517","findings":[],"hash":"f4f07cbec435bf76e71d64118f1137922b119169438e04d5b76b9725c3d5488c","nodeId":"5868c89a-a8d6-4d68-a06a-65a222de6ab8","outcome":"completed","summary":"Completed [result.json](/root/.identitymd/work/a81f1ad8-7f76-419c-b869-2dda3183422c/5868c89a-a8d6-4d68-a06a-65a222de6ab8/artifacts/goal/items/cash-fix/result.json) and [sources.json](/root/.identitymd/work/a81f1ad8-7f76-419c-b869-2dda3183422c/5868c89a-a8d6-4d68-a06a-65a222de6ab8/artifacts/goal/items/cash-fix/sources.json).\n\nOn 4,000 unseen runs, the strategy gained **0.5122042913809504 mean edge** over the base, including 0.14871560857800026 more retail edge, with zero failures. Its 200-run timing was 105.09 seconds versus 107.25 for the base. JSON, size, source-quote, and code-hash checks passed.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":12631424,"inputTokens":91471,"model":"gpt-6-sol","outputTokens":37548,"runtime":"codex","turns":21,"wallClockMs":2787181}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"372555f00cc07aa8a4f198f95710ca1556bd0102b398dc6636d52cd99ffb903f","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":"3ff4e3c1daf6b5f5c261ed79da5c49fd11ce4e54f4bf1752727fd57f1de06afd","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":"45e2f3c4005a6d50faf7d18fe787692309276926c8dfc10886ebd7d61efeef25","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+18543036"},{"checks":[],"detail":"paths and tree verified; 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