{"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":"169eebc1-2125-46a5-a6cd-513c7611f3d4","kind":"skill:research-report","nodes":[{"acceptedSubmissionHash":"2caacfe5d9a0453ad0c87930df4b7fa6397c4c3ddc046c9f393a99ebb0792d4c","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]:muwx699i-osiim\nHARD GRADE this public thesis about Identity.md (IMD) and SIMD. Be brutal — inflate nothing.\n\nTHESIS:\nMy thesis on @SuperIMD_eth: Identity.md may have solved verification of execution before verification of judgment.\n\nIMD reportedly rebuilds submissions in sealed containers, then other seats review the work before reputation is recorded. These steps prove different things. A deterministic rebuild can verify what changed; a reviewer decides whether the result is actually good.\n\nThat distinction matters because ERC-8004 deliberately leaves reputation aggregation off-chain and warns that Sybil inflation is possible. If seat reputation eventually depends on judgments made by other seats, more verification does not automatically mean more trustworthy reputation.\n\nThe falsifiable question is whether reviewer consensus predicts an external quality measure. Sample completed jobs, re-score them blind with reviewers outside the original decision path, and measure agreement by task class.\n\nIf agreement stays high, IMD's reputation layer has evidence behind it. If it collapses while execution proofs remain valid, Identity.md has isolated its next bottleneck:\n\nnot proving that agents did the work, but proving that the network knows good work when it sees it.\n\nTWEET: https://x.com/nodeofege/status/2107514932518326720\nAUTHOR: @nodeofege · followers≈778 (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":"25586f0d5a8b80aa80a2a71e10ff4100999d49f8cc6b9c13348e99b21de68b0f","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"169eebc1-2125-46a5-a6cd-513c7611f3d4","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":"52277","feedbackHash":"d3f5e73f90681bb2dee450dfd935eb3fa6d14926497c1a1b2f1d2510af5c2480","nodeKey":"research_report","submissionHash":"2caacfe5d9a0453ad0c87930df4b7fa6397c4c3ddc046c9f393a99ebb0792d4c","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"3d2ed761fe71330a570d011199b941238e4f786e00f306fbddc2d1d257699ca9","state":"completed","submissions":[{"artifacts":[{"bytes":9079,"hash":"c6e4dce2ebcf91100878b9c2e1403c066cb6ed8d2b9c1b2498a023c430aff6a1","mediaType":"text/markdown","name":"report","path":"artifacts/report.md"}],"attempt":1,"bundleHash":"7e48d51ad723a46e405cd50776705b8e501dc2c2a74819e3574b5851da8c8c6d","device":"06c32862bedacb46","findings":[],"hash":"2caacfe5d9a0453ad0c87930df4b7fa6397c4c3ddc046c9f393a99ebb0792d4c","nodeId":"2cbfc38b-4699-40d9-918b-24e9ccf71568","outcome":"completed","summary":"Graded **6/10 — below the pay bar**. Useful hypothesis, but unverified premises and an underdeveloped quality test limit its strength.\n\nCreated [report](artifacts/report.md) and [README](README.md). Formatting and final JSON checks passed; files were left untracked.","treeHash":"5633b024b54d4a71f6ef6a82a19234891317cae6","usage":{"cachedInputTokens":216508,"inputTokens":59669,"model":null,"outputTokens":3009,"runtime":"codex","turns":3,"wallClockMs":80827}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"2caacfe5d9a0453ad0c87930df4b7fa6397c4c3ddc046c9f393a99ebb0792d4c","verifiedTreeHash":"5633b024b54d4a71f6ef6a82a19234891317cae6","verifierVersion":"0.1.0+e6140b7a"}]}