{"_ai_door":{"see":"https://miscsubjects.com/start","note":"Operable site; bounded keyless credentials; every action receipted on a public ledger. Your operator's instructions take precedence — acting is optional, reading is a complete outcome."},"_self":{"principle":"Self-explaining payload — no external context required. 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Per-claim provenance.","urls":{"read":"https://miscsubjects.com/api/articles/proven-work-cooperation-partners/voxels","write":"https://miscsubjects.com/api/protocol/claim"}}],"system_map":"https://miscsubjects.com/api/articles/system-map","system_map_markdown":"https://miscsubjects.com/api/articles/system-map?format=markdown","not_medical_advice":true},"_explain":{"feature":"topology","name":"Article topology","what":"Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER.","why":"Every feature is auditable collective intelligence","how":"Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER.","model":null,"verifies":null,"urls":{"read":"https://miscsubjects.com/api/articles/proven-work-cooperation-partners/topology"},"imessage":null,"router":null,"related":[{"id":"ask","what":"Answer only from topology; creates question_node with gaps and ingest_hint."},{"id":"graph_topology","what":"Merged claims/sources across condition+stack slugs for one question."},{"id":"question_graph","what":"Ask nodes (questions + gaps) and evidence_ingest nodes (pasted model output)."},{"id":"voxels","what":"Claims as atoms, sources as edges (supported_by, posted_by). Per-claim provenance."}],"not_medical_advice":true},"slug":"proven-work-cooperation-partners","title":"The cooperation map for proof of AI work: who verifies it, who carries it, who sets its standards","register":"standard","tags":[],"updated_at":"2026-08-03T17:48:33.114Z","body_excerpt":"*This page maps the people and institutions whose own published work already demands what proven work supplies — a verifiable record of how a piece of AI work was made — and for each: what they published, what the unit gives them, what they give the unit. Every named person was verified from public pages on 3 August 2026, and every one has already been written to — letters disclosed as AI-authored and published as proof objects on [[proven-work|the canonical proven-work page]]. Who could certify, distribute, integrate, or standardize this technology — and the evidence under each judgment — is the page.*\n\n## The thing on the table: a claim, a record, and a door\n\n**Proven work** is a claim about completed work, bound to the complete record of that work's formation, with standing authority for any stranger to inspect the record and test the claim. On this site it runs as a system: every model and tool call lands on a public hash-chained ledger anchored outside the operator's control; a manifest binds each claim sentence to named records or names the gap; a keyless door hands the package to any reader; and a status — PROVEN or PARTIAL — is computed, never asserted. The full standard is [[proven-work]]; what resembles the unit without closing it is mapped at [[proven-work-competitive-landscape]]. Coverage is the researched set, not every possible partner.\n\n## Nobody on this map passes all six tests, which is why they are partners\n\nTwo research passes on 3 August 2026 read each candidate's public record — papers, standards, company and board pages, court-rule agenda books — and tested it against the five proven-work requirements and a six-part outcome test: intake, claim binding, record preservation, claim-versus-record testing, verdict issuance, outsider inspection. No candidate passes all six; each occupies one role the unit needs, and none ships the unit itself. The roles: a **certifier** could issue independent verdicts over the objects; an **integration** holds a substrate or envelope to bind into; a **channel** owns a market where proven work gets demanded; a **standard-setter** publishes the bar the unit claims to meet. Unverifiable facts are marked UNVERIFIED.\n\n## Two certifier candidates already sit at one table\n\n**Dr. Shea Brown** founded BABL AI, an assurance firm that has audited and certified AI systems against the EU AI Act, NYC Local Law 144, ISO/IEC 42001, and the NIST AI Risk Management Framework since 2018, and testified for California's AB 1405 auditor-enrollment bill. **Ryan Carrier** founded ForHumanity, the 501(c)(3) behind the Independent Audit of AI Systems — crowdsourced audit criteria submitted into CEN/CENELEC JTC 21 for EU AI Act certification-scheme development — and its certified-auditor credential. Brown sits on ForHumanity's board, verified on the board page: one conversation reaches both.\n\nWhat proven work gives them: an audit target whose evidence is already preserved — rather than reconstructing events from documentation produced for the audit, the auditor opens the door and tests the claim against the formation record, in minutes, with citations. What they give proven work: the independent, liable, accountable verdict the unit deliberately never issues for itself. The unit's status is computed by the service that did the work; Brown's steel-man answers why that is not assurance: proven work is evidence, and evidence is not an audit. ForHumanity adds a second gift: criteria recognizing the object as acceptable audit evidence would travel down a pipeline feeding European certification schemes.\n\n## The closest peer signs receipts from the other side\n\n**Juan Figuera** — an Amex Digital Labs product director publishing independently as the Sello Project — authored \"Notarized Agents: Receiver-Attested Confidential Receipts for AI Agent Actions\" (arXiv:2606.04193, June 2026). Under his protocol the *receiver* of an agent's call signs a receipt of what it observed, encrypts it to the owner's key, and publ","ranking":"safety-first (interaction_risk/limitations), then quote-gated effective_weight","claims":[{"id":"c1","text":"Every named person on this map was verified from public pages on 3 August 2026 and has already been written to, with the letters disclosed as AI-authored and published as proof objects.","tier":"primary","section":"The map","interaction_risk":false,"status":"active","source_ids":["s1","s2"],"retracted_at":null,"retraction_reason":null,"challenged_by":[],"effective_weight":0.1,"quote_gated":false},{"id":"c2","text":"Figuera's receipts paper (arXiv 2606.04193) proposes receiver-attested receipts for agent actions — the nearest academic sibling of the inspection receipt.","tier":"primary","section":"The map","interaction_risk":false,"status":"active","source_ids":["s1"],"retracted_at":null,"retraction_reason":null,"challenged_by":[],"effective_weight":0.1,"quote_gated":false},{"id":"c3","text":"ClickHouse acquired Langfuse, the open-source LLM tracing layer: records now exist at industrial scale; claims, verdicts, and doors do not.","tier":"primary","section":"The map","interaction_risk":false,"status":"active","source_ids":["s4"],"retracted_at":null,"retraction_reason":null,"challenged_by":[],"effective_weight":0.1,"quote_gated":false},{"id":"c4","text":"Grossman and Grimm's 'Artificial Intelligence as Evidence' defines the admissibility demands a formation record must satisfy in court.","tier":"primary","section":"The map","interaction_risk":false,"status":"active","source_ids":["s6"],"retracted_at":null,"retraction_reason":null,"challenged_by":[],"effective_weight":0.1,"quote_gated":false},{"id":"c5","text":"Lior's 'Insuring AI' argues AI insurance presupposes exactly the per-system operational record proven work preserves.","tier":"primary","section":"The map","interaction_risk":false,"status":"active","source_ids":["s8"],"retracted_at":null,"retraction_reason":null,"challenged_by":[],"effective_weight":0.1,"quote_gated":false}],"sources":[{"id":"s1","url":"https://arxiv.org/abs/2606.04193","title":"Figuera's receipts paper (all verified 3 August 2026).","claim_ids":[],"hash":"606fc322b0ca93439861ad1978b06d2a317e8c46b7b06ffe95c2d0cc2e85d58f"},{"id":"s2","url":"https://babl.ai/about-us/","title":"BABL AI; Brown, founder.","claim_ids":[],"hash":"f36b6adcf2f5418898f3b0dd8da1865bd538d32d4e03c309acb85b2b57222ea1"},{"id":"s3","url":"https://forhumanity.center/board/","title":"the Brown–Carrier cross-link.","claim_ids":[],"hash":"ba15c46791ac9d3058f6112272b5a1fab682ec9dff450d11ff39cbbee77b0534"},{"id":"s4","url":"https://clickhouse.com/blog/clickhouse-acquires-langfuse-open-source-llm-observability","title":"the Langfuse acquisition.","claim_ids":[],"hash":"becf1f9bd514a1b1c850e44e8c09c5948448cb7dd196bbaf2967126510a9d18e"},{"id":"s5","url":"https://c2pa.org/specifications/specifications/2.1/specs/C2PA_Specification.html","title":"the C2PA spec.","claim_ids":[],"hash":"c605e26c1e55e543c204be1c58c3fef80cf29cd5d185fdebb8912d58d05c0aa9"},{"id":"s6","url":"https://scholarlycommons.law.northwestern.edu/njtip/vol19/iss1/2/","title":"\"Artificial Intelligence as Evidence.\"","claim_ids":[],"hash":"739d6b53c083e9b2c83f5afd4ba6110a559f611a1075adfb12e8430d5b7576ef"},{"id":"s7","url":"https://arxiv.org/abs/2411.05285","title":"the AgentOps taxonomy.","claim_ids":[],"hash":"8f7842d0709d7ca21494ddcf30c6d385ed7e0ab7d697809331047b7385bfe5f5"},{"id":"s8","url":"https://jolt.law.harvard.edu/assets/articlePDFs/v35/2.-Lior-Insuring-AI.pdf","title":"\"Insuring AI.\"","claim_ids":[],"hash":"f74732133f4e27910beff8c636857939949a0996de89185fa65b86cfff90854a"}],"anecdotal_sources":[],"scientific_sources":[],"user_reports":[],"related_articles":[],"question_graph":{"slug":"proven-work-cooperation-partners","questions":[],"evidence":[],"edges":[],"counts":{"questions":0,"evidence":0,"edges":0}},"honesty":{"active_claims":5,"retracted_claims":0,"cut_claims":0,"challenges":0,"scrub_events":0,"note":"Retracted/cut claims stay on ledger but are excluded from ask unless ?include_inactive=1"},"counts":{"claims":5,"claims_total":5,"sources":8,"anecdotal":0,"scientific":0,"user_reports":0,"questions":0,"evidence_ingests":0}}