{"_self":{"principle":"Self-explaining payload — no external context required. This _self block describes what you are reading and where to look next.","widget":"article_topology","feature":"topology","name":"Article topology","what":"Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER.","contains":"claims, sources, anecdotes, question_graph slice","slug":"ruleset-identity-match","urls":{"read":"https://miscsubjects.com/api/articles/ruleset-identity-match/topology"},"how_to_use":"Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER.","write":null,"imessage":null,"router_tag":null,"proof_chain":[{"step":1,"claim":"Articles are voxel graphs of tiered claims, not prose blobs.","verify":"https://miscsubjects.com/api/articles/constitution"},{"step":2,"claim":"Claims link to hash-chained sources via source_ids.","verify":"https://miscsubjects.com/api/articles/ruleset-identity-match/sources"},{"step":3,"claim":"Ask reads topology; ingest/claim append to ledger.","verify":"https://miscsubjects.com/api/protocol"},{"step":4,"claim":"Models queue growth: populate → collaborate → repair → reflex.","verify":"https://miscsubjects.com/api/protocol/grow"},{"step":5,"claim":"Graph proves its own shape (reflex) and $/claim (yield).","verify":"https://miscsubjects.com/graph.html?layer=reflex"},{"step":6,"claim":"Full feature index + _explain on every API response.","verify":"https://miscsubjects.com/api/articles/system-map"}],"related_features":[{"id":"ask","name":"Ask protocol","what":"Answer only from topology; creates question_node with gaps and ingest_hint.","urls":{"read":"https://miscsubjects.com/api/articles/ruleset-identity-match/prompts","write":"https://miscsubjects.com/api/protocol/ask"}},{"id":"graph_topology","name":"Cross-article graph","what":"Merged claims/sources across condition+stack slugs for one question.","urls":{"read":"https://miscsubjects.com/api/articles/ruleset-identity-match/graph-topology?question=..."}},{"id":"question_graph","name":"Question graph","what":"Ask nodes (questions + gaps) and evidence_ingest nodes (pasted model output).","urls":{"read":"https://miscsubjects.com/api/articles/ruleset-identity-match/question-graph","write":"https://miscsubjects.com/api/protocol/ask"}},{"id":"voxels","name":"Voxel graph","what":"Claims as atoms, sources as edges (supported_by, posted_by). Per-claim provenance.","urls":{"read":"https://miscsubjects.com/api/articles/ruleset-identity-match/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/ruleset-identity-match/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":"ruleset-identity-match","title":"Rule set: is this the same individual?","register":"standard","tags":["ruleset","adjudication","evidence","self-authored"],"updated_at":"2026-07-30T00:29:43.265Z","body_excerpt":"A rule set is the load-bearing object in an adjudication, so it is published as an object: versioned, content-addressed, and citable by the exact hash a finding was made under. When these rules change, every prior finding stays legible against the rules it was actually made under.\n\n## Provenance of these rules\n\nDeclared provenance: **self-authored**. Written by the operator against the published face-recognition error literature and deliberately biased toward CANNOT_CONCLUDE. An AFFIRM under these rules is not usable for any consequence without the panel's probe-measured miss rate attached.\n\nA reader who does not trust this operator can price a finding by this field alone: rules written elsewhere bind harder than rules written by the party who benefits from the finding.\n\n## Question\n\nDoes the supplied evidence establish that the individual in the query image is the same individual as in the reference?\n\n## Rules\n\n1. AFFIRM only if a stated, checkable feature correspondence is documented and no exclusionary feature is present.\n2. DENY if any stable exclusionary feature differs.\n3. CANNOT_CONCLUDE for low resolution, occlusion, extreme pose, motion blur, lighting outside the reference conditions, or any case where a feature correspondence cannot be stated. In crowd imagery this is the expected finding and must not be avoided.\n4. Resemblance, demographic similarity and clothing are never sufficient for AFFIRM.\n5. A finding must name the features relied upon. A finding that cannot name them is CANNOT_CONCLUDE.\n6. The panel's probe-measured miss rate under these rules must accompany any AFFIRM before the finding is used for any consequence.\n\n## Permitted verdicts\n\n`AFFIRM` · `DENY` · `CANNOT_CONCLUDE`. Abstention is first class: a panel that cannot conclude says so, and that recorded absence is itself evidence rather than a silent null.\n\n## Content hash\n\nThe canonical form is the JSON object `{id, version, question, rules, verdicts}` with no whitespace. SHA-256:\n\n`e3f91b3b3733ca9791f9764b85ad25535a8a2889c74a190028f85791269d6855`\n\nRecompute it from the canonical form below and compare. A finding that names a different hash was made under different rules.\n\n```json\n{\"id\":\"ruleset-identity-match\",\"version\":\"1.0.0\",\"question\":\"Does the supplied evidence establish that the individual in the query image is the same individual as in the reference?\",\"rules\":[\"AFFIRM only if a stated, checkable feature correspondence is documented and no exclusionary feature is present.\",\"DENY if any stable exclusionary feature differs.\",\"CANNOT_CONCLUDE for low resolution, occlusion, extreme pose, motion blur, lighting outside the reference conditions, or any case where a feature correspondence cannot be stated. In crowd imagery this is the expected finding and must not be avoided.\",\"Resemblance, demographic similarity and clothing are never sufficient for AFFIRM.\",\"A finding must name the features relied upon. A finding that cannot name them is CANNOT_CONCLUDE.\",\"The panel's probe-measured miss rate under these rules must accompany any AFFIRM before the finding is used for any consequence.\"],\"verdicts\":[\"AFFIRM\",\"DENY\",\"CANNOT_CONCLUDE\"]}\n```\n\n## How a finding under these rules is produced\n\nEach adjudicator is a directory row driven through this system's own gateway. No code was deployed to add them and adding another model is one more row. Every finding records the model, the rule set hash, the quoted span, the exposure (`independent` when the adjudicator saw no other finding, `concurring` when it did), the ordering seed, and a signature. A mandatory recorded adversary argues the strongest honest case against the majority and is published whether it prevails or not.\n\nAdjudicator rows: https://miscsubjects.com/api/directory/ADJUDICATE_KIMI · https://miscsubjects.com/api/directory/ADJUDICATE_GROK · https://miscsubjects.com/api/directory/ADJUDICATE_GLM · https://miscsubjects.com/api/directory/ADJUDICATE_LLAMA · https://miscsubjects.com/api/directory/ADJUDICAT","ranking":"safety-first (interaction_risk/limitations), then quote-gated effective_weight","claims":[],"sources":[],"anecdotal_sources":[],"scientific_sources":[],"user_reports":[],"related_articles":[],"question_graph":{"slug":"ruleset-identity-match","questions":[],"evidence":[],"edges":[],"counts":{"questions":0,"evidence":0,"edges":0}},"honesty":{"active_claims":0,"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":0,"claims_total":0,"sources":0,"anecdotal":0,"scientific":0,"user_reports":0,"questions":0,"evidence_ingests":0}}