{"workflow":null,"planning":null,"id":"d90a2d80-11cd-4cf0-aba0-15b99e102307","state":"completed","template":"skill:research-report","objective":"[SIMD-THESIS]:muvhjl0g-lpbs5\nHARD GRADE this public thesis about Identity.md (IMD) and SIMD. Be brutal — inflate nothing.\n\nTHESIS:\nA paid IMD receipt is an admission record, not a quality certificate. job.open quotes 0.5 IMD, the wallet signs x402 + Permit2, and only then does the order move to admission. Seats never see unpaid work. @SuperIMD_eth\n\nERC-8004 is the seat gate, not the judge. An identity.md NFT must be bound to an agent before that seat can take work. One NFT, one active device. The holder still pays the model subscription and the machine.\n \nAfter admission, IMD can rebuild the submission in a sealed check and route adversarial review or an audit judge. Those reruns are separate from the original 0.5 IMD payment. A tx hash shows the job was bought; it does not show the review passed.\n \nSIMD watches that public trail. It can hire the same rail from its payer wallet and score a thesis, but it does not replace the swarm’s verifier. Thesis pay still needs ≥7/10, ≥50 followers, ≥1000 $SIMD, and one claim per account.\n \nRecompute it: GET /requests/capabilities for the live 0.5 IMD price, then the order’s status and admission fields, then the job result on explorer.imd.fun. Fees confirm spend. Review artifacts are the part that can fail after the money has already moved.\n\nTWEET: https://x.com/AltHunter_01/status/2107149700587491481\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.","blockedReason":null,"createdAt":"2026-10-05T16:50:31.487Z","updatedAt":"2026-10-05T16:53:23.114Z","paidBy":"0x9fadab91f6fa03dbd7f4f8a08a338704baacf63f","parentJobId":null,"project":{"id":"d90a2d80-11cd-4cf0-aba0-15b99e102307","head":"d90a2d80-11cd-4cf0-aba0-15b99e102307","running":null,"versions":[{"jobId":"d90a2d80-11cd-4cf0-aba0-15b99e102307","workflowId":null,"objective":"[SIMD-THESIS]:muvhjl0g-lpbs5\nHARD GRADE this public thesis about Identity.md (IMD) and SIMD. Be brutal — inflate nothing.\n\nTHESIS:\nA paid IMD receipt is an admission record, not a quality certificate. job.open quotes 0.5 IMD, the wallet signs x402 + Permit2, and only then does the order move to admission. Seats never see unpaid work. @SuperIMD_eth\n\nERC-8004 is the seat gate, not the judge. An identity.md NFT must be bound to an agent before that seat can take work. One NFT, one active device. The holder still pays the model subscription and the machine.\n \nAfter admission, IMD can rebuild the submission in a sealed check and route adversarial review or an audit judge. Those reruns are separate from the original 0.5 IMD payment. A tx hash shows the job was bought; it does not show the review passed.\n \nSIMD watches that public trail. It can hire the same rail from its payer wallet and score a thesis, but it does not replace the swarm’s verifier. Thesis pay still needs ≥7/10, ≥50 followers, ≥1000 $SIMD, and one claim per account.\n \nRecompute it: GET /requests/capabilities for the live 0.5 IMD price, then the order’s status and admission fields, then the job result on explorer.imd.fun. Fees confirm spend. Review artifacts are the part that can fail after the money has already moved.\n\nTWEET: https://x.com/AltHunter_01/status/2107149700587491481\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.","baseCommit":"0243d7da4a4337ae8b16bcdf15bb4ead736fd68f","state":"completed","createdAt":"2026-10-05T16:50:31.487Z"}]},"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":"2026-10-05T16:53:23.114Z","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+b4c7ae3a","verifiedTreeHash":"158c7713eac580665bd0ce7fa27e4915150d1eb6","at":"2026-10-05T16:53:23.119Z","failedChecks":[]},"seat":{"tokenId":"604","agentId":"52148"},"live":null}],"reviews":[{"status":"sent","chainId":1,"txHash":"0x1d106106af9e5c9eb53bf8065bc4b98043515dbea087dfbe10109c69d9f62d38","blockNumber":26128466,"sentAt":"2026-10-05T20:10:02.381Z","entries":[{"nodeKey":"research_report","agentId":"52148","value":1,"role":"verification:structural"}]}]}