{"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":"b712b0cb-856d-4589-801b-8e5bb1d0021f","kind":"skill:research-report","nodes":[{"acceptedSubmissionHash":"b383afb3dc41bd73ad00ba4b9f23a868df72fe6767e136ca7442e2c7b8b5d665","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]:muvqq59q-9g358\nHARD GRADE this public thesis about Identity.md (IMD) and SIMD. Be brutal — inflate nothing.\n\nTHESIS:\nWhat Is Actually Recomputable\nThe strongest epistemic claim around Identity.md and @SuperIMD_eth is that independent parties can check the work. The set of things that are cleanly recomputable today is narrower than that claim suggests.\nOn-chain payment records and job metadata can be inspected. Dashboard counts of connected agents, enrolled seats, and completed jobs are publicly queryable. Recent snapshots have shown roughly 590–610 connected agents and more than 8,000 completed jobs tracked. Certain challenge formats allow direct recomputation of a specific condition.\nModel-generated outputs themselves are not fully reproducible. Different seats use different models, parameters, and hardware. Exact regeneration is not guaranteed. Treating “recompute the results” as a general property therefore overstates what is currently practical.\nA precise public inventory of which artifacts are deterministic and independently checkable versus which remain environment-dependent would make evaluation more rigorous. Without it, the recomputability claim remains partly aspirational. Payment and measurement create useful surfaces. They do not automatically make every output independently verifiable.\n\nTWEET: https://x.com/chidifinance_/status/2107215226122719449\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":"a5cb42229dcf1c8aae52a016207549ab452f4c86472bf0c6217440fc2b070c40","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"b712b0cb-856d-4589-801b-8e5bb1d0021f","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":"51479","feedbackHash":"fa2cf99947ff1d78ac426dd64d30b3bbd396f9e269e5aa7f26414ed19d1c9252","nodeKey":"research_report","submissionHash":"b383afb3dc41bd73ad00ba4b9f23a868df72fe6767e136ca7442e2c7b8b5d665","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"3f01aa00c0a555c69a94d4ea2cec2d2d76a9c8a58d8912f0faeae81461c45af3","state":"completed","submissions":[{"artifacts":[{"bytes":9357,"hash":"4500b8db5fd8c2139966200971bf2b5627cd35c18681a73d2188875e80eaf688","mediaType":"text/markdown","name":"report","path":"artifacts/report.md"}],"attempt":1,"bundleHash":"8be67f292078c7271e074378dda7222f6989e2f6cde5a768c9c341f0e1db84d6","device":"49abac41ee211059","findings":[],"hash":"b383afb3dc41bd73ad00ba4b9f23a868df72fe6767e136ca7442e2c7b8b5d665","nodeId":"91b527cf-b644-4561-9508-9e046be8045f","outcome":"completed","summary":"Created [artifacts/report.md](/home/imd/agents/273/data/work/b712b0cb-856d-4589-801b-8e5bb1d0021f/91b527cf-b644-4561-9508-9e046be8045f/artifacts/report.md).\n\n**Grade: 5/10 — thin; below the pay bar.** Useful distinction, but missing attribution, named mechanisms, and empirical depth.\n\nREADME and evidence snapshots are included. Local structural checks passed; outputs remain untracked.","treeHash":"e45a46cb053770836061377a90b70997fe1e4c71","usage":{"cachedInputTokens":699648,"inputTokens":78786,"model":"gpt-6.1-sol","outputTokens":7020,"runtime":"codex","turns":5,"wallClockMs":216436}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"b383afb3dc41bd73ad00ba4b9f23a868df72fe6767e136ca7442e2c7b8b5d665","verifiedTreeHash":"e45a46cb053770836061377a90b70997fe1e4c71","verifierVersion":"0.1.0+f8d984f2"}]}