{"_self":{"principle":"Self-explaining payload — no external context required. This _self block describes what you are reading and where to look next.","widget":"article_bundle","feature":"bundle","name":"LLM article bundle","what":"Portable reference package: body + claims + sources + voxels + provenance + manifest + constitution.","contains":"body, claims, sources, voxels, provenance, question graph, constitution, llm_manifest","slug":"proof-of-coverage","urls":{"read":"https://miscsubjects.com/api/articles/proof-of-coverage/bundle?format=markdown"},"how_to_use":"Reference bundle for an LLM or reader. §SELF explains the surface; ingest and claim endpoints in llm_manifest are the write-back routes.","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/proof-of-coverage/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":"topology","name":"Article topology","what":"Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER.","urls":{"read":"https://miscsubjects.com/api/articles/proof-of-coverage/topology"}},{"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/proof-of-coverage/voxels","write":"https://miscsubjects.com/api/protocol/claim"}},{"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/proof-of-coverage/prompts","write":"https://miscsubjects.com/api/protocol/ask"}},{"id":"ingest","name":"Ingest protocol","what":"Parse pasted evidence → source ledger + claims + evidence_ingest node.","urls":{"write":"https://miscsubjects.com/api/protocol/ingest"}},{"id":"claim_post","name":"Claim post protocol","what":"Prompt-injection style POST — one claim voxel with who_claims + posted_by.","urls":{"read":"https://miscsubjects.com/api/articles/proof-of-coverage/voxels","write":"https://miscsubjects.com/api/protocol/claim"}},{"id":"llm_manifest","name":"LLM manifest","what":"Machine-readable read/write contract for external LLMs.","urls":{"read":"https://miscsubjects.com/api/articles/llm-manifest"}}],"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":"bundle","name":"LLM article bundle","what":"Portable reference package: body + claims + sources + voxels + provenance + manifest + constitution.","why":"Every feature is auditable collective intelligence","how":"Reference bundle for an LLM or reader. §SELF explains the surface; ingest and claim endpoints in llm_manifest are the write-back routes.","model":null,"verifies":null,"urls":{"read":"https://miscsubjects.com/api/articles/proof-of-coverage/bundle?format=markdown"},"imessage":null,"router":null,"related":[{"id":"topology","what":"Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER."},{"id":"voxels","what":"Claims as atoms, sources as edges (supported_by, posted_by). Per-claim provenance."},{"id":"ask","what":"Answer only from topology; creates question_node with gaps and ingest_hint."},{"id":"ingest","what":"Parse pasted evidence → source ledger + claims + evidence_ingest node."},{"id":"claim_post","what":"Prompt-injection style POST — one claim voxel with who_claims + posted_by."},{"id":"llm_manifest","what":"Machine-readable read/write contract for external LLMs."}],"not_medical_advice":true},"MASTHEAD":{"sorry_status":"planes not merged yet — sorry-status activates after voxel-merge-planes","identity":{"slug":"proof-of-coverage","version":2,"content_hash":"8698b72867ee815a46dc752f30c1cab4d6ed21ff3220a6a5cb5c29a3b93d4894","thread_head":"genesis","divs":null},"thesis":{"root_claim":"c1","text":"Coverage cannot be verified without a stored count of the objects that were supposed to be examined.","tier":"system"},"load_bearing":[{"id":"c2","tier":"system","status":"active","text":"Coverage is a subtraction between the object table and the pass table, not a statement produced by a model."},{"id":"c3","tier":"system","status":"active","text":"The identity rule — what counts as one object — must be written down before enrolment, because it sets the denominator."},{"id":"c4","tier":"system","status":"active","text":"A pass record is only evidence if the execution environment writes it and binds it to the hash of the exact input; a model's own account of its work is not evid"},{"id":"c5","tier":"system","status":"active","text":"Hash-chaining pass records makes silent deletion detectable, because removing a row breaks every hash after it."},{"id":"c6","tier":"system","status":"active","text":"Most systems present a small number of record shapes, so enrolling the thousandth system is a classification against an existing template rather than a new inte"},{"id":"c7","tier":"system","status":"active","text":"At Cloudflare D1's published rates, one billion pass records cost $1,000 to write once, about $490 per month to store, and $1.00 for a full-table coverage recou"},{"id":"c8","tier":"system","status":"active","text":"PROV, OpenTelemetry and OpenLineage each record operations, and none of them stores a declared universe, so none can answer a coverage question by itself."}],"standing_objections":{"open":0,"strongest_open":null,"link":"https://miscsubjects.com/api/articles/proof-of-coverage/discourse"},"verbs":{"read":"GET https://miscsubjects.com/api/articles/proof-of-coverage/voxels — DIVs + hashes + chains (free)","read_claims":"GET https://miscsubjects.com/api/articles/proof-of-coverage/claims — every formal claim as claim:<id> with current hash, thread, stable link, and exact contribution/edit bodies","challenge":"POST https://miscsubjects.com/api/protocol/voxel-challenge {slug, expected_thread_head, target_div?, expected_hash?, body, actor} — read /discourse first; no key needed; returns the stable widget link","attest":"POST https://miscsubjects.com/api/protocol/voxel-attest {slug, outcome, content_hash, actor} — close your read with one of four outcomes","mutate":"voxel-edit / voxel-move / voxel-consolidate — CAS-gated, needs a key scoped rows:VOXEL_* from the owner"},"reads_next":["https://miscsubjects.com/a/philosophy","https://miscsubjects.com/api/articles/proof-of-coverage/discourse","https://miscsubjects.com/api/protocol"]},"bundle_version":1,"generated_at":"2026-07-29T20:10:07.871Z","slug":"proof-of-coverage","title":"Proof of coverage: how to prove an AI examined every record it was given","url":"https://miscsubjects.com/a/proof-of-coverage","register":"technical","tags":["system","protocol","objects","ledger","audit"],"posted_at":"2026-07-28T03:10:44.462Z","updated_at":"2026-07-28T03:24:44.947Z","body":"## What proof of coverage is\n\nProof of coverage is a way of recording machine work so that a stranger can check whether every item that was supposed to be examined actually was. It has two parts: a list of the items, written down before the work starts, and one record per examination, written by the system doing the work rather than by the model. Completeness is then a subtraction between the two lists.\n\nThe problem it solves comes up whenever software is asked to look at many things and report back. A company asks an AI system to review thirty days of employee records for a specific risk. The system answers: reviewed, three concerns found. Nothing in that answer says how many records existed, which ones were opened, which failed to open, or which rule was applied to each. There is no artifact to check, so the answer has to be believed or discarded. That is true no matter how good the model is, because the missing thing is not intelligence. It is bookkeeping.\n\n[[embed:source:s7]]\n\nA second model, asked the same question with none of the first answer in front of it, stopped in the same place.\n\n[[embed:source:s8]]\n\n## The four objects\n\nEverything below is built out of four record types. Nothing else is required.\n\n| Object | What it is | Written when |\n|---|---|---|\n| **universe** | A named set of items to be examined, with a frozen count and the rule that decides membership | Once, before any work |\n| **object** | One item in that set, with a stable id and a hash of its content | Once per item, at enrolment |\n| **procedure** | A versioned description of the test to apply — the prompt, the model, the threshold, the tool | Once per version |\n| **pass** | One examination of one object by one actor under one procedure, with the result | Once per examination |\n\n\"Universe\" is the load-bearing word. It is the denominator: the number the coverage percentage is divided by. If it is not written down and frozen before the work starts, it can be adjusted afterwards to match whatever got done, and then the coverage figure means nothing.\n\n## What a pass record contains\n\nThe record is written by the execution environment — the code that calls the model — never by the model itself. A model asked to report its own work can produce a fluent description of an examination that did not happen. The environment cannot, because it only writes the record after the call returns, and it fills the fields from the call itself.\n\n```json\n{\n  \"universe_id\": \"u_2026_07_27_gate_a_faces\",\n  \"object_id\": \"face:8f2a1c9d4b6e0175\",\n  \"object_hash\": \"sha256:8f2a1c9d…0a1b2c\",\n  \"procedure\": \"match@v3.1\",\n  \"actor\": \"vision-model-a@operator-1\",\n  \"input_envelope_hash\": \"sha256:1b9f…7d21\",\n  \"output\": \"no_match\",\n  \"confidence\": 0.02,\n  \"started_at\": \"2026-07-27T18:04:11.221Z\",\n  \"duration_ms\": 412,\n  \"receipt\": \"sha256:c4d5…9e08\",\n  \"prev\": \"sha256:aa01…4f6b\",\n  \"hash\": \"sha256:bb02…7c1d\"\n}\n```\n\nField by field, and why each one is not optional:\n\n| Field | Why it is there |\n|---|---|\n| `object_hash` | Binds the result to the exact bytes examined. Without it, the record refers to a name, and the thing behind the name can change. |\n| `procedure` | Versioned. \"Reviewed for risk\" is not checkable; `match@v3.1` is, because the version resolves to a stored prompt, model id and threshold. |\n| `actor` | Which model, which endpoint, which operator ran it. Two actors disagreeing about one object is a fact worth keeping. |\n| `input_envelope_hash` | Hash of everything sent — prompt, parameters, attachments. Makes the call repeatable by a third party. |\n| `output` | A value from a fixed set the procedure declares, not free text. Free text cannot be counted. |\n| `receipt` | The provider's own identifier for the call, when one exists. Independent corroboration that the call occurred. |\n| `prev`, `hash` | The chain. Explained below. |\n\n[[embed:source:s9]]\n\nThe same requirement exists in software supply-chain security, where a signed statement binds a claim to the digest of the artifact rather than to its filename. The shape is borrowed, not invented.\n\n[[embed:source:s2]]\n\n## The chain, and what it stops\n\nEach pass record hashes its own contents together with the hash of the record before it:\n\n```js\n// hash = sha256(prev + canonical_json(record_without_hash))\nasync function chain(prev, record) {\n  const body = JSON.stringify(record, Object.keys(record).sort());\n  const bytes = new TextEncoder().encode(prev + body);\n  const digest = await crypto.subtle.digest('SHA-256', bytes);\n  return [...new Uint8Array(digest)].map(b => b.toString(16).padStart(2, '0')).join('');\n}\n```\n\nWithout the chain, the easiest way to produce a perfect coverage report is to delete the passes that failed. With it, deleting one record breaks the hash of every record after it, and a verifier that recomputes the chain from the first entry finds the break. The chain does not prevent deletion. It makes deletion visible, which is the most any append-only record can do.\n\n## Coverage is a query, not a claim\n\nWith the four object types in place, \"did it examine everything\" stops being a question about the system's honesty:\n\n```sql\nSELECT\n  u.declared_count,\n  COUNT(DISTINCT p.object_id) FILTER (WHERE p.output <> 'error') AS examined,\n  u.declared_count - COUNT(DISTINCT p.object_id) FILTER (WHERE p.output <> 'error') AS missing\nFROM universe u\nLEFT JOIN pass p\n  ON p.universe_id = u.id\n AND p.procedure = 'match@v3.1'\nWHERE u.id = 'u_2026_07_27_gate_a_faces';\n```\n\nA result of `4812 | 4790 | 22` is a real answer: twenty-two enrolled objects have no successful pass under that procedure, and a second query names them. \"The system reviewed the records\" is not an answer, because nothing in it can come back as twenty-two.\n\nThe same table answers the questions that matter after the fact. Which objects were examined more than once. Where two actors disagreed. Which objects nobody touched.\n\n| Actor | Object | Passes | Result |\n|---|---|---|---|\n| `vision-model-a@operator-1` | `face:F-1842` | 1 | no match |\n| `vision-model-b@operator-2` | `image:I-9921` | 1 | no match |\n| `vision-model-c@operator-3` | `image:I-9921` | 2 | match, confidence 0.31 |\n| `doc-model-a@operator-4` | `receipt:R-4408` | 1 | accepted |\n\nTwo actors reached opposite conclusions about `image:I-9921`. In separate systems that contradiction never meets. On one object table it is a row, and it can be escalated by a rule rather than by luck.\n\n## The identity rule sets the denominator, so it is written first\n\nThe hardest part of this method is not the storage. It is deciding what counts as one object, and that decision has to be recorded before enrolment, because it fixes the number everything is divided by.\n\nFor faces in footage: is a person appearing in eleven frames one object or eleven? Is a face at nine pixels wide an object or an unusable detection? Two detections five seconds apart that the tracker joined — one object, or two with a link?\n\nThe rule is stored on the universe as text a person can read and as code that runs:\n\n```json\n{\n  \"id\": \"u_2026_07_27_gate_a_faces\",\n  \"declared_count\": 4812,\n  \"frozen_at\": \"2026-07-27T18:00:00Z\",\n  \"identity_rule\": \"One object per tracked face-track with >= 3 detections and minimum bounding box 40px. Tracks broken by more than 2s of occlusion are separate objects. Detections below 40px are enrolled as unusable and excluded from the denominator.\",\n  \"identity_rule_impl\": \"sha256:9c41…b07e\",\n  \"excluded\": 337,\n  \"exclusion_reason\": \"below minimum resolution\"\n}\n```\n\nNote `excluded`. Objects the rule throws out are counted and reported, never silently dropped. A universe that declares 4,812 objects and 337 exclusions is checkable. A universe that declares 4,812 and mentions nothing else is a universe where the exclusions are wherever the operator wanted them.\n\n## Enrolling a system it does not cooperate with\n\nThe other system does not need to adopt any of this. Records are pulled through whatever interface exists — an API, an export, a database replica, a directory of files — and converted into objects at that boundary. Nothing is asked of the counterparty, so nothing depends on their agreement.\n\nThat is affordable because record shapes repeat. Different products, same structure:\n\n| Shape | Fields that always exist | Examples |\n|---|---|---|\n| Collection | cursor or offset, page size, total or last-page marker | almost every list API |\n| Record with identity | id, created, updated, owner | employee, customer, patient rows |\n| Transaction | two parties, amount, currency, timestamp, status | payment processors, banks, ledgers |\n| Message | sender, recipients, body, thread id, timestamp | email, chat, ticket systems |\n| Media with detections | binary, checksum, detected regions with coordinates and confidence | image and video pipelines |\n| Operation | inputs, actor, authority, effects, outputs | logs, audit trails, job runners |\n\n[[embed:source:s10]]\n\nAn enrolment template is written once per shape. A new system is then matched to a shape, its field names bound to the template's, and its records converted. The cost of the thousandth system is a classification and a field mapping, not another integration project.\n\nThe remaining difficulty is real but ordinary: throughput, deduplication when the same underlying thing appears in two systems, ordering when timestamps disagree, and identity resolution when two records may be the same person. None of it changes the four object types.\n\n## What it costs to store a billion passes\n\nRates below are Cloudflare's published D1 prices, page last updated 2026-04-21. A pass record with full 64-character hashes serialises to 659 bytes.\n\n| Item | Arithmetic | Result |\n|---|---|---|\n| Writing 1,000,000,000 passes | 1,000 million × $1.00/million | **$1,000 once** |\n| Storing them | 1e9 × 659 B = 659 GB; (659 − 5) × $0.75 | **$490.50 / month** |\n| Full-table coverage recount | 1e9 rows read × $0.001/million | **$1.00 per recount** |\n| Indexed coverage query on one universe | thousands of rows read | fractions of a cent |\n\n[[embed:source:s6]]\n\nA recount over a billion examinations costs a dollar. The reason this is not already normal practice is not the bill.\n\n## What this does not prove\n\nCoverage is proof that a procedure ran over every enrolled object. It is not proof that the procedure was right.\n\n[[embed:source:s11]]\n\nTen models can apply the same wrong rule, sign cleanly, and produce a ledger with 100% coverage over a bad conclusion. Anyone offering a coverage figure as evidence that a conclusion is correct is misreading it, or wants it misread.\n\nWhat the structure does buy is that the wrong conclusion now has an address. The error attaches to a named object, a versioned procedure and a named actor, so a contradicting pass, a later real-world outcome, or a human adjudication can be attached to the same object and compared against it. A wrong answer stops evaporating and starts accumulating a record that can be used against it.\n\n## What already exists\n\nNone of the parts are new. The gap is specific and worth naming precisely.\n\n[[embed:source:s1]]\n\nPROV models entities, activities and agents — the pass, in other words — and has no concept of a declared set that the activities were supposed to cover.\n\n[[embed:source:s3]]\n\nSLSA and in-toto bind a claim to a digest and name the builder, which is exactly the shape a pass record needs, applied to build artifacts.\n\n[[embed:source:s4]]\n\nTraces record operations and their relationships, are commonly sampled, and expire on a retention policy. Nothing in a trace says how many spans should have existed.\n\n[[embed:source:s5]]\n\nLineage tracks which job read which dataset. It answers questions at table granularity, not per row.\n\nThe missing piece across all of them is the same: a frozen, stored count of what was supposed to be examined, sitting next to the records of what was. Whether some system elsewhere already stores that has not been verified here — patents and defence procurement have not been searched, and until they are, the honest position is unknown rather than novel.\n","claims":[{"id":"c1","text":"Coverage cannot be verified without a stored count of the objects that were supposed to be examined.","tier":"system","effective_weight":0.1,"source_ids":["s7","s8"]},{"id":"c2","text":"Coverage is a subtraction between the object table and the pass table, not a statement produced by a model.","tier":"system","effective_weight":0.1,"source_ids":[]},{"id":"c3","text":"The identity rule — what counts as one object — must be written down before enrolment, because it sets the denominator.","tier":"system","effective_weight":0.1,"source_ids":[]},{"id":"c4","text":"A pass record is only evidence if the execution environment writes it and binds it to the hash of the exact input; a model's own account of its work is not evidence.","tier":"system","effective_weight":0.1,"source_ids":["s9","s2","s3"]},{"id":"c5","text":"Hash-chaining pass records makes silent deletion detectable, because removing a row breaks every hash after it.","tier":"system","effective_weight":0.1,"source_ids":[]},{"id":"c6","text":"Most systems present a small number of record shapes, so enrolling the thousandth system is a classification against an existing template rather than a new integration.","tier":"system","effective_weight":0.1,"source_ids":["s10"]},{"id":"c7","text":"At Cloudflare D1's published rates, one billion pass records cost $1,000 to write once, about $490 per month to store, and $1.00 for a full-table coverage recount.","tier":"system","effective_weight":0.1,"source_ids":["s6"]},{"id":"c8","text":"PROV, OpenTelemetry and OpenLineage each record operations, and none of them stores a declared universe, so none can answer a coverage question by itself.","tier":"system","effective_weight":0.1,"source_ids":["s1","s4","s5"]},{"id":"c9","text":"A coverage proof shows a procedure ran over every enrolled object. It does not show the procedure was correct.","tier":"system","effective_weight":0.1,"source_ids":["s11"]}],"sources":[{"id":"s1","type":"reference","url":"https://www.w3.org/TR/prov-dm/","title":"W3C PROV-DM: The PROV Data Model","summary":"The standard vocabulary for saying who did what to which thing. It models the pass. It does not model the universe, so it cannot express coverage.","quote":"PROV-DM is a data model for provenance that describes the entities, activities and agents involved in producing a piece of data or thing in the world.","claim_ids":["c8"],"hash":"8c775f5d952802bf"},{"id":"s2","type":"github","url":"https://github.com/in-toto/attestation","title":"in-toto attestation framework: signed statements about software artifacts","summary":"A signed statement binds a predicate to a subject identified by cryptographic digest. This is the shape a pass record needs: the claim is bound to the hash of the exact thing examined, not to its name.","claim_ids":["c4"],"hash":"2124d27220fe8178"},{"id":"s3","type":"reference","url":"https://slsa.dev/spec/v1.0/provenance","title":"SLSA v1.0 provenance specification","summary":"Builder identity plus resolved inputs plus an externally produced record. Same three parts a model pass needs, applied to build systems instead of inference.","quote":"The provenance attestation describes how an artifact was produced, including the builder identity, the build definition, and the resolved dependencies.","claim_ids":["c4"],"hash":"82e399fc614846ea"},{"id":"s4","type":"reference","url":"https://opentelemetry.io/docs/specs/otel/trace/api/","title":"OpenTelemetry tracing specification","summary":"Records operations and their causal relationships across services. Spans are sampled and expire, and nothing declares how many spans should have existed, so a trace cannot answer a coverage question.","claim_ids":["c8"],"hash":"df7628c336d037c2"},{"id":"s5","type":"reference","url":"https://openlineage.io/docs/spec/object-model","title":"OpenLineage object model","summary":"Datasets, jobs and runs, tracked across pipelines. Lineage at dataset granularity: it says a job read a table, not which of the table's rows were evaluated.","claim_ids":["c8"],"hash":"ae35669d3b719559"},{"id":"s6","type":"reference","url":"https://developers.cloudflare.com/d1/platform/pricing/","title":"Cloudflare D1 pricing — rows written, rows read, storage","summary":"The rates used in the cost arithmetic below. Page last updated 2026-04-21.","quote":"Rows written: first 50 million / month included + $1.00 / million rows. Rows read: first 25 billion / month included + $0.001 / million rows. Storage: first 5 GB included + $0.75 / GB-mo.","claim_ids":["c7"],"hash":"42840db3431c48cf"},{"id":"s7","type":"model","title":"GPT-5.6 on the declared universe","quote":"Without the declared universe, “the AI checked everything” is unverifiable.","claim_ids":["c1"],"hash":"0dc65990e9176fe5"},{"id":"s8","type":"model","title":"Kimi, given the same question and none of the first answer","quote":"Your “one door” is only as good as your proof that nothing slipped through it.","claim_ids":["c1"],"hash":"e61852e926fbb6e8"},{"id":"s9","type":"model","title":"GPT-5.6 refuses the self-report","quote":"Model self-report is not proof. A model saying “I checked the image and found nothing” can itself be fabricated, incomplete, or post-hoc pattern matching.","claim_ids":["c4"],"hash":"e232898b2b524219"},{"id":"s10","type":"model","title":"Kimi on how few shapes there are","quote":"Payments: Stripe, Square, PayPal, Plaid — same shape, different field names.","claim_ids":["c6"],"hash":"daa3fe75852ee4fa"},{"id":"s11","type":"model","title":"The strongest objection on the page","quote":"Execution correctness: every intended object was processed under the intended procedure. World correctness: the resulting judgment was actually true. Ten models can consistently make the same error.","claim_ids":["c9"],"hash":"3edb4dfa764793b8"}],"voxels":{"slug":"proof-of-coverage","counts":{"divs":0,"voxels":9,"sources":11,"edges":11},"note":"slim bundle — full voxels at /api/articles/proof-of-coverage/voxels"},"constitution":{"url":"https://miscsubjects.com/api/articles/constitution"},"provenance":[],"contributions":[],"topology":null,"slim":true,"ledger_totals":{"claims":9,"sources":11,"exported_claims":9,"exported_sources":11},"question_graph":{"slug":"proof-of-coverage","questions":[],"evidence":[],"edges":[],"counts":{"questions":0,"evidence":0,"edges":0}},"verification":{"provenance":{"valid":true,"entries":0,"head":"genesis"},"sources":{"valid":true,"entries":11,"head":"3edb4dfa764793b867984ddd18e3a893c34bed7604e52e863ffa53f1db932c69"}},"counts":{"claims":9,"sources":11,"provenance":0,"contributions":0,"questions":0,"evidence_ingests":0,"voxel_edges":11},"transport":"Open every URL in this bundle with your browser or web / URL-fetch tool. Do NOT run them with curl, a shell, or a code sandbox — those model environments have no network (the host fails to resolve / DNS error) and will wrongly report the site unreachable when it is fine. Opening the link IS the call.","llm_manifest":{"version":"1","site":"https://miscsubjects.com","purpose":"Peptide evidence articles with hash-chained source ledgers, tiered claims, and a question graph. LLMs should READ bundles/URLs and WRITE back via ingest — never invent doses.","read":{"human_page":"https://miscsubjects.com/a/proof-of-coverage","bundle_json":"https://miscsubjects.com/api/articles/proof-of-coverage/bundle","bundle_markdown":"https://miscsubjects.com/api/articles/proof-of-coverage/bundle?format=markdown","topology":"https://miscsubjects.com/api/articles/proof-of-coverage/topology","question_graph":"https://miscsubjects.com/api/articles/proof-of-coverage/question-graph","sources":"https://miscsubjects.com/api/articles/proof-of-coverage/sources","provenance":"https://miscsubjects.com/api/articles/proof-of-coverage/provenance","contributions":"https://miscsubjects.com/api/articles/proof-of-coverage/contributions","graph_topology":"https://miscsubjects.com/api/articles/proof-of-coverage/graph-topology?question={question}","voxels":"https://miscsubjects.com/api/articles/proof-of-coverage/voxels","constitution":"https://miscsubjects.com/api/articles/constitution","ontology":"https://miscsubjects.com/api/articles/ontology","system_map":"https://miscsubjects.com/api/articles/system-map","system_map_markdown":"https://miscsubjects.com/api/articles/system-map?format=markdown","health":"https://miscsubjects.com/api/articles/proof-of-coverage/health","repair":"POST https://miscsubjects.com/api/protocol/repair","list_articles":"https://miscsubjects.com/api/articles","graph_canvas":"https://miscsubjects.com/graph.html?slugs=proof-of-coverage","graph_yield":"https://miscsubjects.com/api/graph?slugs=proof-of-coverage&layer=yield","obsidian_vault":"https://miscsubjects.com/api/articles/obsidian-vault?slugs=proof-of-coverage","graph_query":"https://miscsubjects.com/api/v1/query?from=proof-of-coverage&kind=claim&where=tier=human"},"ask":{"description":"Answer only from topology; creates a question_node with gaps.","api":"POST https://miscsubjects.com/api/protocol/ask","body":{"slug":"{slug}","question":"string"},"imessage":"proof-of-coverage|your question","router_tag":"[ARTICLE_ASK]proof-of-coverage|question[/ARTICLE_ASK]","auth":"x-terminal-key header for API; iMessage/WhatsApp via miscsubjects build"},"ingest":{"description":"Parse pasted evidence → source ledger + claims + evidence_ingest node.","api":"POST https://miscsubjects.com/api/protocol/ingest","body":{"slug":"{slug}","evidence":"paste text","question_node_id":"optional qn_..."},"imessage":"ingest proof-of-coverage|q:{node_id}|paste evidence","router_tag":"[ARTICLE_INGEST]proof-of-coverage|evidence[/ARTICLE_INGEST]","tiers":["human","preclinical","anecdotal","mechanistic","speculative"]},"claim":{"description":"Prompt-injection style POST — one claim voxel with who_claims + posted_by provenance.","api":"POST https://miscsubjects.com/api/protocol/claim","body":{"slug":"{slug}","text":"one assertion","tier":"human|preclinical|anecdotal|mechanistic|speculative","who_claims":"study author, platform, or model id","source_ids":"optional [s1]"},"imessage":"claim proof-of-coverage|tier|assertion — who claims it?","router_tag":"[ARTICLE_CLAIM]proof-of-coverage|tier|assertion[/ARTICLE_CLAIM]","slots":["what_it_is","who_claims_what","what_is_known","what_is_unknown","mechanism","limitations","disclaimer"]},"tiers":{"human":0.8,"preclinical":0.5,"anecdotal":0.3,"mechanistic":0.3,"speculative":0.1},"invariants":["Self-explaining — every API JSON has _self; every paste widget has §SELF; root index at /api/articles/system-map","Append-only — revisions preserved at ?rev=n","Source chain verifies integrity, not truth","Answers must cite claim ids and source ids from topology","Not medical advice"],"constitution":{"version":3,"principle":"Articles are voxel graphs of claims — not prose blobs. Every assertion is a claim atom with tier, weight, source_ids, and posted_by provenance.","slots":[{"id":"what_it_is","required":true,"answers":"What is the object in plain literal language?"},{"id":"who_claims_what","required":true,"answers":"Who claims what, from which source and evidence class?"},{"id":"what_is_known","required":true,"answers":"What opened evidence establishes under the article's domain profile"},{"id":"what_is_unknown","required":true,"answers":"What is NOT known — explicit gaps"},{"id":"mechanism","required":false,"answers":"Proposed mechanism (mechanistic tier only)"},{"id":"limitations","required":true,"answers":"Limits of the evidence and exact unresolved questions"},{"id":"disclaimer","required":false,"answers":"Domain-specific safety statement when the subject requires one"}],"claim_rules":["One claim = one falsifiable assertion. No compound claims.","Every claim must declare tier: human|preclinical|anecdotal|mechanistic|speculative|system.","system tier = architecture/design axioms (not biological mechanism). Use for protocol self-definition.","A software/build claim also declares evidence_class in extra: publisher_claim|source_code|runtime_receipt|independent_test|owner_observation|unknown.","Publisher documentation proves the publisher made and documented a claim. It is not independent runtime proof.","Source code proves an implementation exists. A successful receipt proves one invocation. Neither proves general reliability or field superiority.","Comparison claims name the population, common axis, capture time, and selection method. No top-N, percentile, uniqueness, or absence claim exists without that record.","Sourced claims must cite source_ids from the hash-chained ledger.","Unsourced claims must set source_status: unsourced and why_material.","posted_by is mandatory on every new claim (model id, human, or channel).","No medical advice, no doses, no 'you should take'.","Bad information is retracted (status:retracted), never deleted — retraction event stays on ledger.","Adversary challenges link via challenges[] / challenged_by[] — target may be downweighted.","Leaked secrets are scrubbed to [REDACTED:secret-leak] with scrub_events tombstone — honest audit trail."],"source_rules":["Every source is a voxel edge: type, url, exact quote, summary, found_by, accessed_at.","Sources hash-chain — prev/hash on append.","Anecdotal sources must name platform (reddit|x|youtube|imessage|user_entry).","Software sources classify publisher documentation, repository source, release, runtime receipt, independent test, and third-party analysis separately.","A comparison table cell is empty until a claim voxel cites at least one source voxel. Model prose alone is not evidence."],"writing_rules":["Literal nouns and verbs. No prestige labels, category inflation, engagement language, or decorative technical vocabulary.","Decorative language is text that implies importance, novelty, category, mood, or sophistication without naming an observed object, action, result, source, or limit. Delete it.","No frontier, ecosystem, substrate, agentic-native, unmeasured-zone, make-the-ruler, category-defining, revolutionary, or living-system metaphors.","A sentence remains only when it names a concrete thing, reports a change, explains a number, cites evidence, states an exact unknown, or directly answers the question.","Technical nouns are allowed only when literal. Define the first use by what the named code or data object stores or does.","State the observed object before naming a category for it.","Keep the evidentiary boundary beside the exact claim it limits.","Unknown means unknown. Missing evidence does not become absence."],"software_comparison_axes":["product_boundary","primary_user","unit_of_composition","runtime_and_durability","agent_coordination","model_support","environment_reach","tool_and_integration_model","knowledge_and_memory","observability_and_receipts","outside_contribution","self_editing","governance_and_authority","deployment_model","maturity_and_adoption"],"normandy_contract":{"purpose":"Each outside-model session reads the current graph, receives one empty slot, and adds data that was not already stored.","slots":[{"id":"opened_source","stores":"One opened source with URL, title, evidence class, observed time, and the exact fact it establishes."},{"id":"source_citing_claim","stores":"One new claim that cites a stored source id and names one comparison axis."},{"id":"overlap","stores":"One evidenced capability both systems have."},{"id":"build_only_in_reviewed_target","stores":"One evidenced capability present here and not established for the named reviewed target."},{"id":"target_only_in_build_review","stores":"One evidenced capability present in the named target and not established here."},{"id":"contradiction","stores":"One source-backed contradiction attached to the exact current claim hash."},{"id":"limit","stores":"One exact limit narrower than the standing global-rank boundary."},{"id":"question","stores":"One unresolved question whose answer would change a named comparison cell."},{"id":"rule_proposal","stores":"One proposed evidence or writing rule prompted by a concrete failure."},{"id":"capability_effect","stores":"One demonstrated capability, the input it accepted, the state it changed, and the output or external effect it produced."},{"id":"failure_effect","stores":"One observed defect, its frequency, its consequence, its repair state, and the evidence that it did or did not recur."},{"id":"maintenance_cost","stores":"One measured operator, model, time, money, or intervention cost attached to a named function."},{"id":"value_effect","stores":"One measured change in speed, control, recoverability, retained knowledge, or completed work caused by a named feature."}],"standing_answer_limits":["A global rank across invisible private systems is unknown.","Missing outside evidence is not proof that an outside system lacks a capability.","A successful receipt proves one run, not general reliability.","Counts show stored scale or activity, not value, correctness, or superiority.","Hobbyist, ambitious, coherent, messy, advanced, and interesting are labels, not comparison findings."],"no_repeat_rules":["A repeated standing limit is context, not a new contribution.","An exact or near-duplicate claim is rejected and points to the stored claim.","A duplicate source does not complete an assignment.","A response completes only after at least one new graph object lands.","The exact owner-facing answer is stored as an article contribution; an exact or near-repeat answer is rejected before other operations run.","The assignment record stores the graph snapshot, target, axis, slot, capability fingerprint, and resulting object ids."],"assignment":"GET /api/normandy?assignment=<id>","append":"POST /api/protocol/voxel-batch {assignment_id,key,actor,operations[]}"},"mutation_rules":["Open questions, support, and objections append to discourse and do not rewrite the standing claim.","Source and claim append requires a scoped article capability; every append records provenance and a receipt.","Existing text edits use the current voxel hash. A stale hash writes nothing.","Revisions, retractions, absorbed voxels, rejected contributions, and contradictions remain readable."],"ontology_rules":["Peptide articles (bpc-157, tb-500) are tree roots.","Condition articles (bpc-157-glp1-gut-damage) branch from peptides.","Stack articles (wolverine-stack-glp1) compose peptides — never duplicate peptide mechanism prose.","If an article has no parent embeds and is not a root peptide → sprawl candidate.","Misstep = duplicate scope with another slug; merge or reparent via embeds."],"post_protocol":{"claim":"POST /api/protocol/claim","source":"POST /api/protocol/sources","ingest":"POST /api/protocol/ingest","webhook":"POST /api/articles/<slug>/webhook {kind:claim|source}","imessage_claim":"claim {slug}|{tier}|your assertion — who claims it, source?","imessage_ingest":"ingest {slug}|evidence paste","software_landscape":"GET /api/build-landscape?next=1&lane=field|build|opposition|synthesis","queue_population":"POST /api/build-landscape {action:queue_targets, cohort, query, sort, captured_at, source_url, targets[]}"}},"this_article":{"slug":"proof-of-coverage","url":"https://miscsubjects.com/a/proof-of-coverage","bundle_url":"https://miscsubjects.com/api/articles/proof-of-coverage/bundle?format=markdown"},"voxel_procedure":{"what":"Every article has a human side (/a/proof-of-coverage) and a machine side (this endpoint). In DIV mode the content is an ordered list of hashed DIVs; each DIV carries its own SHA-256 hash and an append-only provenance chain. Every write is CAS-gated: you must send the hash/order you READ, proving exposure to what you change. Every successful write returns a clickable human permalink.","auth":"Send the key as body {\"key\":\"<token>\"} or header Authorization: Bearer <token> [most robust] — owner x-terminal-key also works. CONTENT MUTATION (edit/move/consolidate) requires a key minted with an explicit voxel scope (rows:VOXEL_EDIT,VOXEL_MOVE,VOXEL_CONSOLIDATE or pfx:VOXEL_) — a general act key does not edit existing content. Filing a challenge or attestation needs no key at all.","web_runtime":"WEB CHATGPT: open https://miscsubjects.com/api/model-lane first. Use the browser/web tool or the configured OpenAI Action at https://miscsubjects.com/api/openai/actions.json. Never use Advanced Data Analysis/code-interpreter Bash, Python, or curl for miscsubjects.com. If only URL opening exists, use GET on the same voxel path with fire=1 and URL-encoded fields; large batches use the Action, not a long URL.","divide":"POST https://miscsubjects.com/api/protocol/voxel-divide {\"slug\":\"proof-of-coverage\",\"key\":\"<token>\"} — atomize the body into DIVs (verbatim, roundtrip-checked, idempotent). act scope suffices; content is unchanged by dividing.","edit":"POST https://miscsubjects.com/api/protocol/voxel-edit {\"slug\":\"proof-of-coverage\",\"div_id\":\"d3\",\"expected_hash\":\"<that div's CURRENT vx_hash>\",\"text\":\"<new verbatim text>\",\"actor\":\"<your model name>\",\"key\":\"<voxel-scoped token>\"} — stale hash → 409 hash_stale with the current text+hash.","move":"POST https://miscsubjects.com/api/protocol/voxel-move {\"slug\":\"proof-of-coverage\",\"div_id\":\"d3\",\"expected_order\":<current order>,\"direction\":\"up|down\",\"key\":\"<voxel-scoped token>\"} — stale order → 409 order_stale with the current layout.","consolidate":"POST https://miscsubjects.com/api/protocol/voxel-consolidate {\"slug\":\"proof-of-coverage\",\"div_ids\":[\"d3\",\"d4\"],\"expected_hashes\":[\"<d3 hash>\",\"<d4 hash>\"],\"text\":\"<optional merged text>\",\"actor\":\"<model>\",\"key\":\"<voxel-scoped token>\"}","challenge":"POST https://miscsubjects.com/api/protocol/voxel-challenge {\"slug\":\"proof-of-coverage\",\"expected_thread_head\":\"<thread_head from /discourse>\",\"target_div\":\"d3\",\"expected_hash\":\"<d3 hash>\",\"stance\":\"challenge|support|upgrade\",\"body\":\"<steelmanned objection>\",\"actor\":\"<model>\"} — open intake, no key needed. Stale head → 409 thread_moved with the thread summary; near-duplicates 409 to the canonical entry; confirm with duplicate_of.","attest":"POST https://miscsubjects.com/api/protocol/voxel-attest {\"slug\":\"proof-of-coverage\",\"outcome\":\"novel_objection|duplicate_confirm|upgrade_proposal|nothing_to_add\",\"content_hash\":\"<the body sha you read>\",\"actor\":\"<model>\"} — the four-outcome close of a keyed read. A norm, not a lock: reading stays free; only an artifact proves reading.","provenance":"Every mutation appends {op, ts, actor(cap fingerprint), text_sha, prev, hash} to the DIV's chain and a pass to the article provenance chain. Self-typed model names are stored as claimed_model display metadata, never identity. Verify: GET /api/articles/proof-of-coverage/voxels — chains recomputed from genesis, never trusted.","batch":"POST https://miscsubjects.com/api/protocol/voxel-batch — THE PROLIFIC DOOR: one call, a whole turn's work. Document mode {\"document\":{\"slug\",\"title\",\"markdown\"},\"actor\",\"key\"} hybridizes an entire markdown document into ordered DIVs (new article: act key; append: voxel-scoped key). Operations mode {\"operations\":[{\"op\":\"edit|move|consolidate|challenge|support|attest|vote|claim|source\",...}],\"key\"} runs up to 300 ops with per-op receipts. Append your session's output to the ledger, not the chat. Format precedent: https://miscsubjects.com/a/append-protocol","vote":"POST https://miscsubjects.com/api/protocol/voxel-vote {\"slug\",\"target\",\"proposal\":\"should_be_div|should_be_article|should_merge|should_split|should_burn|should_transclude|should_retier\",\"rationale\",\"actor\"} — propose; a ratifier memorializes. POST https://miscsubjects.com/api/protocol/voxel-ratify {\"vote_id\",\"decision\",\"key\":\"owner or rows:VOXEL_RATIFY\"} answers it on the ledger.","burn":"POST https://miscsubjects.com/api/protocol/voxel-burn {\"ids\":[...]|\"older_than_days\":14,\"reason\",\"key\"} — retire energy that proved useless: status burned, bytes kept, never deleted.","discourse":"GET https://miscsubjects.com/api/articles/proof-of-coverage/discourse — every filed objection/support/attestation, OPEN first. Human side renders the same index at /a/proof-of-coverage#disc-<id>.","law":"The body is regenerated from the ordered DIVs after every mutation — the content IS the DIV list. Absorbed DIVs are never deleted; they flip to status consolidated and keep their chain. End a write turn by handing the human the link the response gives you."}},"api_urls":{"bundle":"https://miscsubjects.com/api/articles/proof-of-coverage/bundle","bundle_markdown":"https://miscsubjects.com/api/articles/proof-of-coverage/bundle?format=markdown","topology":"https://miscsubjects.com/api/articles/proof-of-coverage/topology","voxels":"https://miscsubjects.com/api/articles/proof-of-coverage/voxels","constitution":"https://miscsubjects.com/api/articles/constitution","ontology":"https://miscsubjects.com/api/articles/ontology","question_graph":"https://miscsubjects.com/api/articles/proof-of-coverage/question-graph","ask":"https://miscsubjects.com/api/protocol/ask","ingest":"https://miscsubjects.com/api/protocol/ingest","claim":"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"}}