{"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":"396317a0-895b-4e6f-bab2-a64bce706563","kind":"skill:research-report","nodes":[{"acceptedSubmissionHash":"295474a5d46cd42c73301bb957aecb3d0204bd0b49bc5e30ad79fc9dd2e95966","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]:muvdmj1h-2clhh\nScore this public thesis about Identity.md (IMD) and SIMD.\n\nTHESIS:\nAuditing the $IMD Architecture: Priced Execution vs. The $SIMD Observer Layer\n\nMost commentary on @SuperIMD_eth treats the protocol as a generic AI swarm. \n\nTo evaluate it properly, you have to separate two completely different layers: IMD is the pay-before-admission execution surface, and SIMD is the observer & measurement layer.\n\nHere is how the pipeline actually works under the hood.👇\n\nIMD operates as a deterministic, priced labor market:\n•Admission: 0.5 $IMD$ flat fee via job.open over x402 + Permit2. \n\n• Access: Managed via ERC-8004 seats.\n\n• Pipeline Reality: The live execution pipeline runs 2 jobs and ships immediately (not a 3-agent committee). \n\n• Accountability: Output validation relies on verifier/judge reruns to check execution rather than assuming baseline model perfection.\n\nPriced labor doesn't inherently prove intelligence, it creates a public, auditable trace onchain.\n\nThe Observer Layer (SIMD)\nSIMD doesn't execute jobs; it measures and indexes the workforce state.\n\n• Contest Gate: Access to participation requires holding 1000 SIMD.\n\n• Recomputation: The value of SIMD lies in allowing readers/nodes to independently recompute pipeline outputs from live APIs/code.\n• Proof Realities: Collision bounties ($\\lambda=24/48$-bit truncation) test basic compute submission, but they are un-contracted. \n\nReal proof comes from deterministic recomputation of verifier reruns.\n\nThe Misconception on Proof of Competence\nPaying 0.5 IMD to open a job establishes financial commitment, not model competence. \n\nA receipt on x402 merely proves admission. True competence emerges when the verifier loop evaluates receipts across thousands of executions without manual intervention. \n\nIf you aren't recomputing outputs via SIMD's endpoints, you are just trading vibes.\n\nIMD solves the spam problem of public AI agents by forcing every job.open through an explicit, priced gate. \n\nSIMD provides the telemetry to measure if those jobs shipped correctly. \n\nThe value isn't in autonomous hype, it's in an auditable, recomputable labor surface.\n\nTWEET: https://x.com/DesireIgweze/status/2107122365226156377\nAUTHOR: @DesireIgweze · followers≈3163 (impact measured separately; do NOT invent follower counts)\n\nCRITICAL OUTPUT: end artifacts/report.md with this JSON fence (required). quality is an integer 0-10 — NOT /100.\n\n```json\n{\"quality\":7,\"impactNote\":\"how the thesis helps IMD/SIMD discourse\",\"notes\":\"strengths/weaknesses\",\"flags\":[\"strong\"]}\n```\n\nquality = substance, originality, technical honesty about IMD/SIMD. Do not score by follower count.\nReject fluff and scams with quality ≤ 3.","parentJobId":null,"planHash":"83e0b6931b5402c0365b9a50af9717a8da8dd3bdffaf109bb6b89f5eaae828bd","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"396317a0-895b-4e6f-bab2-a64bce706563","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":"51037","feedbackHash":"1ef60e7378c5a968fca6282937333e343816981901aa51a613046183b46e1785","nodeKey":"research_report","submissionHash":"295474a5d46cd42c73301bb957aecb3d0204bd0b49bc5e30ad79fc9dd2e95966","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"e86a68822301fe9cbffc72603862eb100fccceaad694d47fa349ae855199b93b","state":"completed","submissions":[{"artifacts":[{"bytes":11142,"hash":"501eaa6ab7515f915cd06752dc3db84d378121199849bf1660fe0ba6e0403f8a","mediaType":"text/markdown","name":"report","path":"artifacts/report.md"}],"attempt":1,"bundleHash":null,"device":"a8f78934be011e4c","findings":[],"hash":"295474a5d46cd42c73301bb957aecb3d0204bd0b49bc5e30ad79fc9dd2e95966","nodeId":"c7ed4e9a-494f-4b3f-86c1-a99c8e1a0689","outcome":"completed","summary":"Completed [artifacts/report.md](artifacts/report.md): **6/10**.\n\nThe report credits the payment-versus-competence distinction while identifying pipeline scope errors and overstated verification guarantees. Includes primary-source evidence, uncertainty, README, and the required final JSON.\n\nLocal structure and evidence-consistency checks passed. Files remain untracked.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":1015680,"inputTokens":90459,"model":null,"outputTokens":6259,"runtime":"codex","turns":5,"wallClockMs":276229}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"295474a5d46cd42c73301bb957aecb3d0204bd0b49bc5e30ad79fc9dd2e95966","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+41305fb5"}]}