{"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":"06faa78e-1a7b-4237-9efd-614771bf9d50","kind":"skill:research-report","nodes":[{"acceptedSubmissionHash":"0eafd24f7efd1e109ec53f282d2f8895ad2557fac82f28c97d842da081f3efd1","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]:muw7xy43-dtfof\nHARD GRADE this public thesis about Identity.md (IMD) and SIMD. Be brutal — inflate nothing.\n\nTHESIS:\nFrom Agent Work to Auditable Intelligence\n\nIMD and SIMD solve different problems that become significantly more valuable when connected: IMD creates an economic market for agent work, while SIMD can measure how much of that work remains independently auditable.\n\nIMD already exposes public evidence across the lifecycle of work. Jobs, submissions, verdicts, records and reviews can be queried publicly, while oracle requests expose pinned evidence and EIP-712 attestations. IMD also records oracle work through hashed documents and daily Merkle-tree receipts. \n\nThe missing question is therefore not simply “was the agent accepted?” but:\n\n“How much accepted agent work can an independent observer actually recompute from the evidence IMD exposes?”\n\nI propose that SIMD measure this using a Recomputation Coverage Ratio (RCR):\n\nRCR = independently reproducible accepted work / accepted work sampled.\n\nA SIMD audit sample could follow a deterministic path:\n\njob → submission → verdict → record/review → hash/receipt → recomputation\n\nEach sample receives an evidence status such as reproducible, partially reproducible, or unreproducible. The measurement should preserve the job ID, submission hash, relevant record/hash, reproduction result and failure point so another observer can repeat the audit.\n\nThis creates a useful separation of responsibilities. IMD does not need SIMD to declare its work truthful, and SIMD does not need to become the execution layer. IMD produces and records the work; SIMD measures the quality of the observable evidence surrounding that work.\n\nThis matters because a reputation score alone can say that work was accepted, while an evidence-coverage metric asks whether acceptance can survive independent inspection.\n\nThe strongest version of the IMD/SIMD relationship is therefore not:\n\nIMD = work, SIMD = opinion.\n\nIt is:\n\nIMD = economically executed work + public evidence.\nSIMD = independent measurement of how much of that evidence can be recomputed.\n\nIf RCR can be measured continuously, SIMD becomes an external observability layer for an agent economy. The output is not another narrative about AI agents; it is a growing dataset of what can actually be checked, reproduced and verified.\n\nThat is the experiment worth running.\n\nTWEET: https://x.com/AltHunter_01/status/2107336056198586693\nAUTHOR: @AltHunter_01 · followers≈59 (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":"5a1d4227791ce02d9442e60a4ca00de7278965f1b4ec30d6c7130ad8a60f6f66","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"06faa78e-1a7b-4237-9efd-614771bf9d50","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":"52199","feedbackHash":"6bb045369abcd3ef09dd2a5c16dd32288092e7e99a940ea78eeae1e1eae8aa7c","nodeKey":"research_report","submissionHash":"0eafd24f7efd1e109ec53f282d2f8895ad2557fac82f28c97d842da081f3efd1","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"cc6923428fb89689fb559a3a0b21774806a8ca433a3e1c4451fe8fe6f08c86fd","state":"completed","submissions":[{"artifacts":[{"bytes":8786,"hash":"762f9c55f31f960c2cb8604f0abb6420e886c1c6e1ad39ad25d48d7799ee5656","mediaType":"text/markdown","name":"report","path":"artifacts/report.md"}],"attempt":1,"bundleHash":"11837e97d9648b01beaf6021482fc094d1269d289fe22854c990b2cb19acb501","device":"410d15d57eeec440","findings":[],"hash":"0eafd24f7efd1e109ec53f282d2f8895ad2557fac82f28c97d842da081f3efd1","nodeId":"6593eb14-1c3f-4015-9348-2312e3a12465","outcome":"completed","summary":"Completed [artifacts/report.md](artifacts/report.md) and [README.md](README.md).\n\n**Grade: 6/10 — below the pay bar.** Concrete IMD evidence mechanics, but undefined recomputation criteria, weak sampling design, omitted tradeoffs and an unsubstantiated SIMD role.\n\nStructural checks passed. Files were left untracked.","treeHash":"18313f65f845a5e0832e7547a891c87938ee6593","usage":{"cachedInputTokens":262528,"inputTokens":56333,"model":null,"outputTokens":3013,"runtime":"codex","turns":3,"wallClockMs":93397}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"0eafd24f7efd1e109ec53f282d2f8895ad2557fac82f28c97d842da081f3efd1","verifiedTreeHash":"18313f65f845a5e0832e7547a891c87938ee6593","verifierVersion":"0.1.0+e6140b7a"}]}