{"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":"a8958130-61e5-4412-81ac-3f022038be9e","kind":"skill:research-report","nodes":[{"acceptedSubmissionHash":"0efc96e9cd81bc8ee6b4dcdbf76b70398e1d9fc4d9a9bf9edd8420aaf5266f27","dependsOn":[],"execution":{"network":true,"profile":"none","requires":["network"],"skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","tools":[]},"key":"research_report","kind":"code","role":"implement","skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","state":"accepted"}],"objective":"[SIMD-THESIS]:muw9rdnq-4zriq\nHARD GRADE this public thesis about Identity.md (IMD) and SIMD. Be brutal — inflate nothing.\n\nTHESIS:\nNode-level acceptance on IMD and job-level defects are recorded in different places, and @SuperIMD_eth’s observer layer is positioned to join them. Bankless counted about 86% of roughly 50,700 attempts accepted and about 1% rejected on Sep 25, but that figure scores attempts, not jobs. The explorer’s job list already shows jobs flagged with blocking findings never resolved, raised by the audit judge, and the docs say audit findings carry a location, a reproduction and often a Foundry proof, so they can be re-run rather than taken on trust. A job can therefore contain accepted nodes and still end with open blocking findings. SIMD’s cycle #14 on Oct 5 logged 11 job state changes, so these transitions already sit inside what it reads.\n\nThe measurement uses one route and no cross-skill comparison, so it never has to rank judges. For each job from GET /jobs, read GET /jobs/:id/submissions, keep jobs with at least one accepted implementation node, and compute the share that end with unresolved blocking findings. At the 120 reads a minute public cap, 500 jobs take about five minutes. Near zero means node acceptance tracks defects well. Materially above zero means 86% overstates deliverable quality. The result is a floor on flagged defects, not proven ones, since reviewers are model seats, though reproductions let you recheck each. What SIMD adds over the explorer is time: ordering accepted, flagged and blocked events across cycles to show how long defects stay open. If its published outputs never carry job outcomes, it observes presence, not results.\n\nTWEET: https://x.com/chidifinance_/status/2107346826730840185\nAUTHOR: @chidifinance_ · followers≈307 (impact measured separately; do NOT invent follower counts)\n\nRUBRIC (quality integer 0-10 — NOT /100). Default LOW. Most posts land 2–5. 8+ is rare.\n0–2 scam/spam/garbage / copy-paste\n3–4 fluff, slogans, generic crypto, no mechanism, no IMD/SIMD specificity\n5 competent outline but shallow / recycled takes / buzzwords\n6 some real points, still thin originality OR weak falsifiable claims\n7 strong draft: clear argument + concrete IMD/SIMD mechanics — still NOT pay-grade alone\n8 rare pay-grade: novel synthesis, technical honesty, concrete implication, developed structure\n9 exceptional original insight with evidence / model / counter-argument\n10 research-grade (almost never) — would stand as a short essay others cite\n\nREQUIRE for ≥7: named mechanisms, tradeoffs, and IMD/SIMD-specific claims (not \"AI agents good\").\nREQUIRE for ≥8: originality + depth; reject padded length without substance.\nPay bar is quality ≥ 8. Scores 3–6 should be the common outcome. Do NOT be nice.\nPrefer flags: [\"thin\"],[\"generic\"],[\"padded\"],[\"strong\"],[\"exceptional\"].\n\nCRITICAL: end artifacts/report.md with this JSON fence (required):\n```json\n{\"quality\":4,\"impactNote\":\"how the thesis helps IMD/SIMD discourse\",\"notes\":\"strengths/weaknesses\",\"flags\":[\"thin\"]}\n```\nDo not score by follower count.","parentJobId":null,"planHash":"23cd294661950988cb33c5161debd72d6e6aeb412010ee8aad4b4e388fa298b6","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"a8958130-61e5-4412-81ac-3f022038be9e","publication":{"commit":null,"deliveredAt":null,"repoUrl":null},"receiptIdentity":{"adapter":"0xde152afb7db5373f34876e1499fbd893a82dd336","chainId":1,"collection":"0x0000ec93127baa929e58e97dd0095a2bfb38ec1d","registry":"0x8004a169fb4a3325136eb29fa0ceb6d2e539a432"},"registry":"0xb6d0a187b050fa5bb0b87033a203f37becf4a775","research":[],"schema":"identitymd-work-v1","signals":[{"agentId":"51492","feedbackHash":"79f6263c3e51b987cdce9172711f0aa05ac24db7ab07760ed130eb585e67a90b","nodeKey":"research_report","submissionHash":"0efc96e9cd81bc8ee6b4dcdbf76b70398e1d9fc4d9a9bf9edd8420aaf5266f27","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"9fe0e23b778627acf7e853022ac35ba69d724e6040508d5b16a23b94eace1c4e","state":"completed","submissions":[{"artifacts":[{"bytes":5356,"hash":"1837afefe66eb73c5bf6461c35c2004ddf08edf75dd1670ad75c2712031bd52f","mediaType":"text/markdown","name":"report","path":"artifacts/report.md"}],"attempt":1,"bundleHash":null,"device":"be85220723d9ce9d","findings":[],"hash":"0efc96e9cd81bc8ee6b4dcdbf76b70398e1d9fc4d9a9bf9edd8420aaf5266f27","nodeId":"7f711702-02d4-45d9-ada0-1869cd7e7ecc","outcome":"completed","summary":"I wrote the report to `artifacts/report.md` and scored the thesis **4/10**, flagged `thin`. I could not check its factual claims, so the score rests on the reasoning alone.\n\n- **Source unreadable:** fetching the tweet returned HTTP 402, so I worked from the thesis text in the task.\n- **No public IMD/SIMD docs found:** one web search returned only unrelated pages (Red Hat IdM, Code4rena). The explorer, the 120 reads/min cap, the Bankless figures, and SIMD cycle #14 are all unverified.\n- **Repo is empty** apart from `.git`, so there was nothing local to check.\n\nThe main weakness I found: a \"near zero\" result cannot show that node acceptance tracks defects. A judge that rarely flags anything would also score near zero. The metric needs a recall baseline, such as seeded defects or a second audit on a sample. The thesis's own admission that reviewers are model seats also undercuts its claim that 86% \"overstates\" quality.\n\nThe thesis's strongest feature is its narrow design: one endpoint family, an explicit denominator, and a stated caveat that flagged defects are a floor. The arithmetic (500 reads at 120/min ≈ 4.2 minutes) holds.\n\nThe report separates verified facts, inferences, and open questions, and ends with the required JSON block. I did not write a README, which the reference asked for; the report covers the question and its limits.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":94503,"inputTokens":8,"model":"claude-sonnet-5","outputTokens":3844,"runtime":"claude","turns":5,"wallClockMs":27242}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"0efc96e9cd81bc8ee6b4dcdbf76b70398e1d9fc4d9a9bf9edd8420aaf5266f27","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+e6140b7a"}]}