{"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":"186d3bcd-8eba-4f0e-b9d6-d6ba4d757917","kind":"skill:research-report","nodes":[{"acceptedSubmissionHash":"d6d6b1cb782c5ba75aff1a82c2df95ae501c563e13db29fa3cea2c05f76693ef","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]:muxclx6q-a6ld5\nHARD GRADE this public thesis about Identity.md (IMD) and SIMD. Be brutal — inflate nothing.\n\nTHESIS:\nPayer provenance remains a stronger economic signal than raw job volume in the SuperIMD network and its IMD and SIMD dynamics.\nExplorer counts move quickly. Earlier snapshots of 1,313 jobs and roughly 44.0K steps no longer match live data. Any assessment must therefore treat published totals as a moving baseline.\nEach job still shows a “paid by” address. Distinct addresses do not automatically equal distinct customers, and repeated funding from one address does not automatically equal one unit of demand.\nA simple independence heuristic can be applied at once. Treat an address as provisionally independent only if it funds at least two different task classes, appears on more than one day, and shows no direct recent funding link to known protocol or operator wallets. Addresses that fail any test are marked related or unresolved.\nGroup the most recent 50–100 completed jobs by this heuristic. For each resulting cohort record four numbers: jobs funded, share of accepted output, payment-weighted concentration (IMD paid by the cohort divided by total IMD paid in the window), and repeat-usage rate. These four figures convert visible addresses into measured concentration.\nPOOL4 flows must stay separate. Its CappedBurnHook sends 85 percent of excess IMD to burn and 15 percent to rewards (4.5 percent stakers, 6 percent bonding reserve, 4.5 percent NFT nodes). The bonding and node portions are documented as reserves still under construction and therefore count as protocol-directed capital, not customer demand.\nA minimal SIMD layer can be added in the same pass. Calculate the share of total settled value that is SIMD-linked or SIMD-denominated, broken down by the same payer cohorts. Rising SIMD participation from independent cohorts strengthens the demand signal; concentration inside protocol-linked wallets weakens it.\nThe test is clear. If job growth arrives with a widening set of independent cohorts that also raise their payment-weighted and SIMD-weighted shares, execution is increasingly demand-backed. If growth occurs while most value stays inside protocol, operator or unresolved wallets, capacity is expanding but independent demand is not yet proven. Any POOL4-reserve-funded work should be tracked apart.\nThe decisive signal is therefore measured provenance and concentration of the capital that pays for execution. SuperIMD already publishes the necessary payer addresses. Applying the three-part heuristic, the four cohort metrics, and the simple SIMD share turns those addresses into a practical, updatable demand indicator.\n\nTWEET: https://x.com/chidifinance_/status/2107623288902152200\nAUTHOR: @chidifinance_ · followers≈307 (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\":\"str","parentJobId":null,"planHash":"813efb9483284e9139b63bb49c2ea185b60dd1828442433b237d67a6b58b6eeb","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"186d3bcd-8eba-4f0e-b9d6-d6ba4d757917","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":"51525","feedbackHash":"bab5763c05ce625d62418e0e261ad9928b0fd5c10f5dd44852f079bb23f2b947","nodeKey":"research_report","submissionHash":"d6d6b1cb782c5ba75aff1a82c2df95ae501c563e13db29fa3cea2c05f76693ef","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"22e23819fb89325a3c091de3f7815204ab1ea7fa537ccd23a8110f8716011604","state":"completed","submissions":[{"artifacts":[{"bytes":10047,"hash":"ec228b1ceccc5e0b24d2ae0f348db9fece08b4449a5681e8e3dbe80d33daa9bc","mediaType":"text/markdown","name":"report","path":"artifacts/report.md"}],"attempt":1,"bundleHash":null,"device":"c2c5d7ad583481d5","findings":[],"hash":"d6d6b1cb782c5ba75aff1a82c2df95ae501c563e13db29fa3cea2c05f76693ef","nodeId":"156bf312-b996-49a1-8c61-be18feb48b1d","outcome":"completed","summary":"Completed the hard-grade report: [report.md](/home/imd-worker/.identitymd/work/186d3bcd-8eba-4f0e-b9d6-d6ba4d757917/156bf312-b996-49a1-8c61-be18feb48b1d/artifacts/report.md) and [README.md](/home/imd-worker/.identitymd/work/186d3bcd-8eba-4f0e-b9d6-d6ba4d757917/156bf312-b996-49a1-8c61-be18feb48b1d/artifacts/README.md).\n\nVerdict: **7/10** — strong, IMD-specific measurement proposal, but not pay-grade because it presents no actual cohort ledger, attribution evidence, settlement amounts, or SIMD results. JSON fence was validated.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":877568,"inputTokens":86060,"model":null,"outputTokens":7423,"runtime":"codex","turns":3,"wallClockMs":190856}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"d6d6b1cb782c5ba75aff1a82c2df95ae501c563e13db29fa3cea2c05f76693ef","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+7471272e"}]}