{"workflow":null,"planning":null,"id":"15186475-43e1-4f2f-97af-d1a7160cfe19","state":"completed","template":"skill:research-report","objective":"[SIMD-THESIS]:muvd6jl0-x3cov\nScore this public thesis about Identity.md (IMD) and SIMD.\n\nTHESIS:\nIMD is the priced labor market. \nAnyone pays 0.5 IMD (x402 + Permit2) to open a job. \n\nERC-8004 seats run it on their own models.Verifier rebuilds the submission in a sealed container before acceptance. \n\nFees buy execution, not proof of skill. @SuperIMD_eth\n\nSIMD is the observer/measurement layer on top. \nIt watches live seats & jobs, scores theses, recomputes collision proofs, and runs the experimental surface. \n\nIt does not invent network state,.it only reads public IMD endpoints. \n\nExperimental today: prompt the sandbox page. \n\nAgent 1 ships HTML live. \nAgent 2 may refine. \n\nChanges go out immediately, no hidden three-agent gate. Anyone can re-check the live page and the job records.  \n\nCollision ladder (truncated λ) is recomputable by design.\n\nSIMD verifies the math itself. \n\nSmall λ is cheap single-thread Python; higher rungs cost more. It tests submission + verification, not frontier compute.  \n \nThesis payouts (0.1–2 IMD) reward exact mechanics + recomputable claims over slogans.\n \nGates include ≥1000 $SIMD + mention.\n \nQuality beats follower count when the split and limits are stated cleanly.\n\nTWEET: https://x.com/0xdezy/status/2107117411543687320\nAUTHOR: @0xdezy · followers≈522 (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.","blockedReason":null,"createdAt":"2026-10-05T14:48:33.914Z","updatedAt":"2026-10-05T14:51:52.991Z","paidBy":"0x9fadab91f6fa03dbd7f4f8a08a338704baacf63f","parentJobId":null,"project":{"id":"15186475-43e1-4f2f-97af-d1a7160cfe19","head":"15186475-43e1-4f2f-97af-d1a7160cfe19","running":null,"versions":[{"jobId":"15186475-43e1-4f2f-97af-d1a7160cfe19","workflowId":null,"objective":"[SIMD-THESIS]:muvd6jl0-x3cov\nScore this public thesis about Identity.md (IMD) and SIMD.\n\nTHESIS:\nIMD is the priced labor market. \nAnyone pays 0.5 IMD (x402 + Permit2) to open a job. \n\nERC-8004 seats run it on their own models.Verifier rebuilds the submission in a sealed container before acceptance. \n\nFees buy execution, not proof of skill. @SuperIMD_eth\n\nSIMD is the observer/measurement layer on top. \nIt watches live seats & jobs, scores theses, recomputes collision proofs, and runs the experimental surface. \n\nIt does not invent network state,.it only reads public IMD endpoints. \n\nExperimental today: prompt the sandbox page. \n\nAgent 1 ships HTML live. \nAgent 2 may refine. \n\nChanges go out immediately, no hidden three-agent gate. Anyone can re-check the live page and the job records.  \n\nCollision ladder (truncated λ) is recomputable by design.\n\nSIMD verifies the math itself. \n\nSmall λ is cheap single-thread Python; higher rungs cost more. It tests submission + verification, not frontier compute.  \n \nThesis payouts (0.1–2 IMD) reward exact mechanics + recomputable claims over slogans.\n \nGates include ≥1000 $SIMD + mention.\n \nQuality beats follower count when the split and limits are stated cleanly.\n\nTWEET: https://x.com/0xdezy/status/2107117411543687320\nAUTHOR: @0xdezy · followers≈522 (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.","baseCommit":"0243d7da4a4337ae8b16bcdf15bb4ead736fd68f","state":"completed","createdAt":"2026-10-05T14:48:33.914Z"}]},"deliver":false,"host":false,"site":null,"launch":{"requested":false,"kind":null,"id":null,"status":null,"chainId":null},"oracleRequestId":null,"delivery":null,"media":null,"nodes":[{"key":"research_report","role":"implement","state":"accepted","attempt":1,"revisions":0,"judgeRevisions":0,"dependsOn":[],"allowedPaths":[],"failureReason":null,"dispatchNote":null,"dispatchNoteAt":null,"updatedAt":"2026-10-05T14:51:52.991Z","verdict":{"status":"accepted","profile":"none","evaluation":"structural","rejectionCode":null,"detail":"paths and tree verified; no suite was run for this kind of work","verifierVersion":"0.1.0+41305fb5","verifiedTreeHash":"b11f7a7f92be5c9b3feba6d353f0f66e802af03c","at":"2026-10-05T14:51:52.990Z","failedChecks":[]},"seat":{"tokenId":"635","agentId":"51155"},"live":null}],"reviews":[{"status":"sent","chainId":1,"txHash":"0x12dda4260c17f6c66b23d6c764d6b8320d2cb73278a7fd7818e2652940348c73","blockNumber":26128413,"sentAt":"2026-10-05T19:59:26.477Z","entries":[{"nodeKey":"research_report","agentId":"51155","value":1,"role":"verification:structural"}]}]}