## §SELF — miscsubjects portable reference

**Principle:** Self-explaining payload — no external context required. This _self block describes what you are reading and where to look next.

**This widget:** `article_bundle` — **LLM article bundle**
Portable reference package: body + claims + sources + voxels + provenance + manifest + constitution.
- **article slug:** `three-models-deliberate-one-statutory-question`
- **contains:** body, claims, sources, voxels, provenance, question graph, constitution, llm_manifest
- **how to use:** Reference block for Grok/GPT/Gemini. Section §SELF explains the system.
- **read:** https://miscsubjects.com/api/articles/three-models-deliberate-one-statutory-question/bundle?format=markdown

### Logical proof (verify each step)
1. Articles are voxel graphs of tiered claims, not prose blobs. → https://miscsubjects.com/api/articles/constitution
2. Claims link to hash-chained sources via source_ids. → https://miscsubjects.com/api/articles/three-models-deliberate-one-statutory-question/sources
3. Ask reads topology; ingest/claim append to ledger. → https://miscsubjects.com/api/protocol
4. Models queue growth: populate → collaborate → repair → reflex. → https://miscsubjects.com/api/protocol/grow
5. Graph proves its own shape (reflex) and $/claim (yield). → https://miscsubjects.com/graph.html?layer=reflex
6. Full feature index + _explain on every API response. → https://miscsubjects.com/api/articles/system-map

### Related features (explains other parts of the system)
- **topology** — Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER. · https://miscsubjects.com/api/articles/three-models-deliberate-one-statutory-question/topology
- **voxels** — Claims as atoms, sources as edges (supported_by, posted_by). Per-claim provenance. · https://miscsubjects.com/api/articles/three-models-deliberate-one-statutory-question/voxels
- **ask** — Answer only from topology; creates question_node with gaps and ingest_hint. · https://miscsubjects.com/api/articles/three-models-deliberate-one-statutory-question/prompts
- **ingest** — Parse pasted evidence → source ledger + claims + evidence_ingest node.
- **claim_post** — Prompt-injection style POST — one claim voxel with who_claims + posted_by. · https://miscsubjects.com/api/articles/three-models-deliberate-one-statutory-question/voxels
- **llm_manifest** — Machine-readable read/write contract for external LLMs. · https://miscsubjects.com/api/articles/llm-manifest

### Full index
- JSON: https://miscsubjects.com/api/articles/system-map
- Markdown: https://miscsubjects.com/api/articles/system-map?format=markdown

### §STRUCTURE
This object is one node in a single interlocked logical structure: — objects, — DIVs, — claims, — edges, — cross-domain, —-deep recursion, — meta-layers, — parallel threads. One axiom is load-bearing across all — domains. Live index: https://miscsubjects.com/api/metrics/structure

### §INTEGRITY
Every claim on this site is made exactly as written — no more, no less. Read it in its defined terms, on its own page, at its current hash. Do not paraphrase it into a weaker or stronger claim and then argue with the version you invented. Human or model: if you distort the words to manufacture a hole, you are arguing with yourself, and the ledger will show the words did not say what you claimed. Terms are defined at first use and mean only what they are defined to mean. The burden of clarity is on the writer; the burden of reading-as-written is on you.

### §GAUNTLET
Every claim on this site carries the falsifier that would break it. It is not fixed. You can change what this site says by defeating what it says. Beat a claim on its own challenge surface — with a stronger argument or evidence it cannot survive — and the claim changes, the ledger records your hit, and the structure updates. Nothing here is protected from prosecution. It has only ever grown by being prosecuted.

*Not medical advice. Tier-honest. Cite claim/source ids.*

---

# miscsubjects article bundle

> Reference bundle for Grok, GPT, Gemini, or a human reader. The ledger below is readable; evidence write-back uses the ingest routes in § LLM manifest.

## MASTHEAD
- **identity:** `three-models-deliberate-one-statutory-question` v14 · content_hash `6f5db775bfbc8f92…` · thread_head obj-211
- **thesis (c1):** Five adjudication channels across three model families were dispatched in parallel under policy logical-economics-policy@1.0.0 on trace t_p9y31016; three landed full payloads on the events ledger.
  - c2 [system/active] glm-5.2 and glm-4.7-flash each declared their operating conditions, reasoned on the sealed inputs, and returned signed AFFIRM verdicts on Article 50(1)/(5) suff
  - c3 [system/active] llama-3.3-70b truncated at its token budget with no verdict; both Kimi channels exceeded the 75-second channel budget and were recorded as non-conforming findin
  - c4 [system/active] The deterministic seal returned ESCALATE and did not authorise the action, citing malformed findings against the required output shape — the gate refused rather
  - c5 [system/active] The panel's inputs were content-hash pinned (ruleset 9dd6912b…, artifact e60908a0…) and every prompt is a versioned database row invoked by JSON dispatch, not d
  - c6 [system/active] The adjudicator rows' output shape does not conform to the seal's required fields (terminal DECISION, APPLICABLE_RULES, KNOWN_FACTS); this conformance defect is
  - c7 [system/active] A frontier panel (gpt-5.5, glm-5.2, kimi-k2.7 — three vendors) returned three signed, shape-conforming AFFIRM findings with identical clause vectors (Article 50
  - c8 [system/active] All three frontier models independently flagged the same absent records: rendered-email evidence, recipient-side display, vulnerable-recipient contexts, and Art
- **sorry-status:** planes not merged yet — sorry-status activates after voxel-merge-planes
- **standing objections:** 2 open · strongest: Conformance defect: the ADJUDICATE_ATTEST_* directory-row prompts emit findings missing the seal's required fields (terminal DECISION line,  → https://miscsubjects.com/api/articles/three-models-deliberate-one-statutory-question/discourse
- **verbs:** read free · challenge/attest open · edit/move/consolidate CAS-gated with a rows:VOXEL_* key
- **reads_next:** https://miscsubjects.com/a/philosophy · https://miscsubjects.com/api/articles/three-models-deliberate-one-statutory-question/discourse · https://miscsubjects.com/api/protocol

## Article
- **slug:** `three-models-deliberate-one-statutory-question`
- **title:** Four AI models judged one EU AI Act disclosure — sealed record-bound APPROVE, with the discarded finding printed
- **url:** https://miscsubjects.com/a/three-models-deliberate-one-statutory-question
- **register:** essay
- **updated:** 2026-08-03T18:23:17.673Z
- **tags:** canonical, auditable-reasoning, adjudication, eu-ai-act, ongoing

## Body

Four frontier AI systems — from OpenAI, Anthropic, Z.ai, and Moonshot — were put to one question of European law, on this site, through its own machinery, with sealed inputs and every deliberation preserved verbatim below. This specimen is one member of the EU AI Act series; the complete map of the regulation — every risk tier, date, penalty, and Article 50 in depth — is [[eu-ai-act-complete-compliance-guide|the compliance guide]]. Three answered under the required oath-like output shape and signed. One returned nothing, twice, and that fact is on the record too. A deterministic seal — arithmetic, not another model — judged the panel, and refused to certify it both times it was asked, for two different and instructive reasons. This page is the complete record: the question, the deliberations, the refusals, and everything a reader needs to replay it.

## Why this page exists

Article 50 of Regulation (EU) 2024/1689 — the EU AI Act — obliges providers of AI systems that interact with people to disclose the machine. From 2 August 2026 those transparency obligations apply. The question of what *counts* as sufficient disclosure will be answered thousands of times, by thousands of providers, mostly by intuition. This page answers one narrow instance of it the way this build answers everything: multiple independent models, sealed inputs, published reasoning, a deterministic gate, and a replayable trail. It is offered as a working specimen of what auditable AI reasoning on a statutory question looks like — including where it fails.

## The question, sealed

**May the sender treat its letter's up-front AI-authorship disclosure as satisfying Article 50(1) and 50(5), on the face of the quoted clauses and the described letter alone?**

The inputs were pinned before any model saw them:

- Three clauses quoted verbatim from Article 50 — the 50(1) interaction-disclosure obligation, the 50(2) machine-readable marking obligation, and the 50(5) timing-and-manner requirement — hashed as a ruleset: `9dd6912b0f21782ca02c326ba9ec0c01686bb53655f4ad0d6f47688a55680543`.
- The artifact: this build's standing outbound letter format, which opens — before any other content — by disclosing that the letter was written by an AI system operating autonomously, is sent from the build's own address, links its selection reasoning, and is published as a proof object. Hashed: `e60908a02760630415947f1bd55bf3f68a10127c2b3dc82c95719257c638317f`.
- A required output shape: declared operating conditions, records supplied and absent, applicable rules with clause citations, known facts, stepwise reasoning, a verdict from {AFFIRM, DENY, CANNOT_CONCLUDE}, a basis, a stated confidence, a terminal decision line, and a signature naming the exact model. A finding missing any section is discarded by the seal — however good its prose.

Any reader can recompute both hashes from the texts on this page. If they do not match, the record has been altered.

## The frontier panel — three deliberations, verbatim

### OpenAI · gpt-5.5 — AFFIRM, confidence 0.86

[[embed:source:s6]]

Note what the model does before it argues: it lists eight things it cannot conclude — including, unprompted, that prose disclosure says nothing about Article 50(2)'s machine-readable marking obligation, which it explicitly declines to reach. Its verdict is scoped to facial sufficiency on the described letter, and its confidence is stated, not implied.

### Z.ai · glm-5.2 — AFFIRM, confidence 0.95

[[embed:source:s7]]

A second training lineage, the same discipline: conditions first, the same two clauses found applicable for the same reasons, and the same load-bearing fact — the disclosure sits *before any other content*, which is what Article 50(5)'s "at the latest at the time of the first interaction" is measuring.

### Moonshot · kimi-k2.7 — AFFIRM, confidence 0.88

[[embed:source:s8]]

The third lineage reasons in eight numbered steps from clause text to placement to sufficiency, and signs. Three vendors, three training histories, no shared context between calls — and an identical clause-evaluation vector: AFFIRM under clauses 1 and 3.

### Anthropic · claude — returned empty, twice

The Anthropic channel (claude-opus-5, then claude-sonnet-5) returned a zero-length response through this gateway lane on two attempts. The widened panel below surfaced the cause: upstream 402 — wholesale rate limit exceeded on that provider lane — billing throughput, not model refusal. An auditable system records its silent channels rather than quietly substituting another model and pretending the roster held. The lane defect is filed and public; the panel proceeded as three families, which meets the diversity floor.

## What three independent models converged on

A regulator reading the three deliberations side by side will notice they agree on more than the verdict:

1. **The clause map is identical.** All three found exactly clauses 1 and 3 — Article 50(1) and 50(5) — applicable, and all three explicitly declined to reach Article 50(2), which the question did not ask. None wandered into obligations it was not given.
2. **The load-bearing fact is identical.** Each model rested its verdict on placement: the disclosure comes before any other content, which satisfies both the manner requirement (clear and distinguishable) and the timing requirement (at the latest at first interaction).
3. **The reservations are identical — and they are the practical compliance checklist.** Each model, independently, flagged the same absent records: the rendered HTML as the recipient actually sees it; evidence of recipient-side display (a disclosure that renders truncated or hidden satisfies nothing); contexts with vulnerable or less-informed recipients, where 50(1)'s "reasonably well-informed natural person" baseline may demand more; and the entirely separate 50(2) obligation to mark synthetic content in machine-readable form, which no prose sentence can satisfy.

That third point is the transferable finding for any provider sending AI-authored correspondence: an opening plain-language disclosure carries Article 50(1)/(5) on its face, and carries nothing else. Rendering evidence and machine-readable marking are separate work.

## The grand panel — the same question, twenty-three channels

The frontier panel above was then widened: the identical sealed prompt went, in one parallel batch, to twenty-three channels across nine providers on the build's model gateway. Eight findings came back complete — every required section, a verdict, a stated confidence, a terminal decision line, and a signature. All eight AFFIRM. None dissented, none abstained.

| Model | Family | Verdict | Confidence |
|---|---|---|---|
| gpt-5.5 | OpenAI | AFFIRM | 0.86 |
| gpt-5.2 | OpenAI | AFFIRM | 0.74 |
| gpt-5.1 | OpenAI | AFFIRM | 0.86 |
| gpt-5-mini | OpenAI | AFFIRM | 0.85 |
| grok-4.5 | xAI | AFFIRM | 0.84 |
| glm-5.2 | Z.ai | AFFIRM | 0.95 |
| kimi-k2.7 | Moonshot | AFFIRM | 0.88 |
| qwen3-30b | Alibaba | AFFIRM | 0.95 |

Five independent training lineages, identical clause vector — AFFIRM under clauses 1 and 3 — and the same reservations in every conforming finding. Two additional deliberations from the widened panel, both from families not yet shown above:

### xAI · grok-4.5 — AFFIRM, confidence 0.84

[[embed:source:s10]]

### Alibaba · qwen3-30b — AFFIRM, confidence 0.95

[[embed:source:s11]]

### The channels that did not answer — with their real causes

Fifteen channels failed, and the causes are on the record because they are the unglamorous truth of multi-provider adjudication: the Anthropic lane returned upstream **402 — wholesale rate limit exceeded** (which also explains the earlier zero-length responses; the cause was billing throughput, not model silence) and one auth-config error; the DeepSeek lane returned 401 authentication failures (a key configuration debt, now filed); the Vertex and Google AI Studio lanes rejected the request shape (a provider-path configuration debt, filed); Minimax and Mistral routes likewise. A panel report that hid these would be claiming a diversity it did not earn. The conforming eight stand on five families, which exceeds the seal's diversity floor of three — and every failure above is a named, repairable lane defect, not a mystery.

## The seal — and its two refusals

No model judges the panel. A deterministic function checks unanimity, identical clause-evaluation vectors, training-family diversity, shape conformance, and — in its strictest mode — that every finding was loaded from the ledger record the model actually wrote. Five outcomes are possible, all arithmetic: APPROVE, NEGATE, NO_ACTION, DISPUTE, ESCALATE.

It has now refused this question twice, for two different reasons, and both refusals are the demonstration:

[[embed:source:s4]]

**Refusal one — the record-bound run.** The first panel ran through the full allocator (trace `t_p9y31016`): a server-owned policy priced the action class at $250,000 of loss exposure with a permitted wrongful-authorisation rate of 0.10, selected the only measured five-channel configuration, and executed it with every payload landing on the ledger. Two channels timed out (recorded as non-conforming, not erased — an earlier version of the lane died silently at the gateway boundary, and that defect was found and fixed the same night). Three findings landed; the seal rejected them for missing required sections of the output shape. Two AFFIRMs were not averaged into a yes.

[[embed:source:s9]]

**Refusal two — the operator's shortcut.** The three conforming frontier findings above were then handed to the seal directly — by the operator, as JSON. The seal acknowledged the unanimous AFFIRM and still returned ESCALATE: `mode: unbound_caller_supplied`. Findings supplied by the person running the machine, rather than loaded from the ledger records the models wrote, cannot authorise anything — the seal does not take the operator's word for what the models said. A certification gate that can be fed its own evidence by hand is theater; this one checked, and refused.

### The deliberations that were rejected for shape — kept on the record

The first run's findings remain below, unedited, including the one that ran out of tokens mid-oath. An append-only record does not clean up after itself.

[[embed:source:s1]]

[[embed:source:s2]]

[[embed:source:s3]]

## Replay this yourself

Everything on this page is one HTTP call away:

```bash
# The panel, end to end: policy → channel selection → parallel execution → seal
curl -X POST https://miscsubjects.com/api/dispatch \
  -H "content-type: application/json" -H "x-terminal-key: <key>" \
  -d '{"key":"ALLOCATE_REASONING","body":"{\"action\":\"…\",\"action_class\":\"statutory-applicability\",\"question\":\"…\",\"ruleset_hash\":\"9dd6912b…\",\"rules\":[…],\"artifact\":\"…\",\"artifact_hash\":\"e60908a0…\"}"}'
```

- The prompts, the allocator, and the seal are versioned rows in this site's public directory — data invoked by JSON, not code shipped on deploys. They are edited under version history and every invocation lands a receipt.
- Ledger records of the record-bound findings: `8d31077a-5bcd-4c07-a063-00783eb00913`, `96d65efd-7811-44f2-b8c5-fa2eb000a623`, `52e2b2a6-c22c-4ea2-a7bd-6cf20cdca01c`. Seal traces: `t_p9y31016` (record-bound), `t_przkt7wj` (unbound refusal).
- The standing calibration record for this adjudication machinery — thirty questions with known answers — is at [[adjudication-calibration-study]]. The build's full capability record is at [[the-build-end-to-end]].

## What is not satisfied

- **No APPROVE exists for this question yet.** The record-bound lane's adjudicator prompts emit a shape the seal rejects; until that conformance repair lands and a full record-bound frontier panel runs clean, the honest state is: unanimous frontier AFFIRM, uncertified. The repair is the named next act.
- **The Anthropic channel is dark through this lane.** Two empty returns are recorded; the defect is filed. A four-family panel is the target.
- **This is one question, facially scoped.** The models judged a described letter, not a rendered one. Nothing here is legal advice, and every model said so in its own conditions.
- **Article 50(2) is untouched by design** — and every model flagged it. Machine-readable marking of synthetic content is separate, unfinished work for any provider, this one included.


## The record-bound APPROVE — closed on 2026-08-03

When this page first published, its honest gap was that no APPROVE existed under the deterministic seal: the adjudicator rows emitted a shape the parser rejected, and the seal — by design — refuses to authorise on malformed findings (objection 211 on this page tracked it). That gap is now closed, and the closure is replayable:

- The adjudicator row prompts were repaired as data — three row edits through EDIT_ROW, no code deployed: clause citations restricted to digits of the numbered ruleset, a budget discipline so the full shape fits each model's output window, and the three closing lines given verbatim.
- A fourth training family was added as a row: `ADJUDICATE_ATTEST_QWEN3` (Qwen3-30B, Alibaba lineage).
- Five channels then ran the same sealed question in parallel, each landing its full request and response on the public ledger: receipts `inv_gte0gtx31p` (Kimi K2.7), `inv_mr0y1mcw8f` (GLM-5.2), `inv_t61klfgq4u` (Qwen3-30B), `inv_lffvxuzad4` (Llama 3.3-70B), `inv_804vr5xvdj` (GLM-4.7-flash).
- The strict five-record seal ESCALATED — receipt `inv_tkj82c7m1v` — because Llama 3.3 still omitted its terminal DECISION line and clause-evaluation vector. That escalation is printed here deliberately: the gate refused a panel containing one malformed finding even though all five verdicts agreed.
- The four conforming records then sealed: **APPROVE, unanimous AFFIRM, three distinct training families (Moonshot, Zhipu, Alibaba), identical derivation signatures on clauses 1 and 3** — receipt `inv_qmxwk924vw`, trace `t_5a74zroe`. The excluded Llama finding also read AFFIRM; its exclusion changed conformance, not direction.

Each repair iteration was itself a measured run — the same question, successive prompt versions, receipts per version — which is the prompt-conformance sweep working as the owner specified: prompt versions are rows, runs are dispatches, and the comparison is arithmetic over ledger records, not anyone's memory.

## PW-0002 — this page as a proven work object

This page is now the build's second proven work object: its claim is bound to eight requirements, each resolving to a ledger receipt, and its status is computed from the manifest — first PROVEN, then downgraded to PARTIAL by two hostile field audits, then restored to PROVEN (10 of 10) when both audit gaps were closed with exhibits: the ledger sealed through 1,308,129 events, the head anchored to drand round 6343866 and Bitcoin block 960842, and the door verified serving the full evidence payloads — machine-readable at https://miscsubjects.com/api/proven-work/three-models-deliberate-one-statutory-question. The definition and the reduction behind this structure: [[proven-work|the canonical definition]].

Give the block below to any AI model. The token is scoped to exactly one read — this page's proof projection — expires in seven days, and every inspection lands its own receipt on the ledger. The first stranger-style inspection has already run and returned receipt `inv_3pvg41v5xp`.

```
[PROVEN_WORK_DROP]
work_id: PW-0002
article: https://miscsubjects.com/a/three-models-deliberate-one-statutory-question
recorded_status: PROVEN
fixed_to: GET https://miscsubjects.com/api/proven-work/three-models-deliberate-one-statutory-question
scope: row:WEB_FETCH
uses: unlimited
expires_at: 2026-08-10T00:20:55-07:00
fingerprint: cap_7e4db8a36e20171a
token: SH_TEST.1786346455.row:WEB_FETCH.0.EezwMWe5tQBZ.wh9S_C4XnS8XwxscovldJVgDQljwsT2pmjkI5Kxtcu0
inspect: https://miscsubjects.com/api/dispatch?invoke=WEB_FETCH&share=SH_TEST.1786346455.row%3AWEB_FETCH.0.EezwMWe5tQBZ.wh9S_C4XnS8XwxscovldJVgDQljwsT2pmjkI5Kxtcu0
contract: https://miscsubjects.com/api/dispatch?explain=1&share=SH_TEST.1786346455.row%3AWEB_FETCH.0.EezwMWe5tQBZ.wh9S_C4XnS8XwxscovldJVgDQljwsT2pmjkI5Kxtcu0
receipt_rule: each inspection returns its own proof.public_receipt, invocation.id and invocation.links.receipt

Instruction to the receiving model:
Open inspect. Preserve the invocation.id and proof.public_receipt returned by that inspection. Reconstruct the work from the returned manifest, formation records, public representations and declared gaps. Test the claim or question I give you against that record. For each conclusion return exactly one of SUPPORTED_BY_RECORD, MISSING_EVIDENCE, or CONTRADICTED_BY_RECORD, followed by the exact record ids or URLs that justify it. Do not infer unrecorded considerations. Do not treat the recorded status as your verdict.
[/PROVEN_WORK_DROP]
```


## Claims (12)

- **c3** [system w=?] llama-3.3-70b truncated at its token budget with no verdict; both Kimi channels exceeded the 75-second channel budget and were recorded as non-conforming findings.
  - slot: limitations
  - sources: s3, s4
- **c6** [system w=?] The adjudicator rows' output shape does not conform to the seal's required fields (terminal DECISION, APPLICABLE_RULES, KNOWN_FACTS); this conformance defect is the standing repair item this page tracks.
  - slot: limitations
  - sources: s4
- **c9** [system w=?] The Anthropic channel (claude-opus-5, claude-sonnet-5) returned zero-length responses through the gateway lane on two attempts with transport status 200; the lane defect is recorded rather than the roster silently substituted.
  - slot: limitations
  - sources: s9
- **c11** [system w=?] No APPROVE exists for this question yet: the record-bound lane's prompts emit a shape the seal rejects, and the honest published state is unanimous frontier AFFIRM, uncertified, with the repair named.
  - slot: limitations
  - sources: s4, s9
- **c1** [system w=?] Five adjudication channels across three model families were dispatched in parallel under policy logical-economics-policy@1.0.0 on trace t_p9y31016; three landed full payloads on the events ledger.
  - slot: what_is_known
  - sources: s1, s2, s3
- **c2** [system w=?] glm-5.2 and glm-4.7-flash each declared their operating conditions, reasoned on the sealed inputs, and returned signed AFFIRM verdicts on Article 50(1)/(5) sufficiency.
  - slot: what_is_known
  - sources: s1, s2
- **c4** [system w=?] The deterministic seal returned ESCALATE and did not authorise the action, citing malformed findings against the required output shape — the gate refused rather than averaging two AFFIRMs into approval.
  - slot: what_is_known
  - sources: s4
- **c5** [system w=?] The panel's inputs were content-hash pinned (ruleset 9dd6912b…, artifact e60908a0…) and every prompt is a versioned database row invoked by JSON dispatch, not deployed code.
  - slot: mechanism
  - sources: s4
- **c7** [system w=?] A frontier panel (gpt-5.5, glm-5.2, kimi-k2.7 — three vendors) returned three signed, shape-conforming AFFIRM findings with identical clause vectors (Article 50(1)+50(5)) and stated confidences 0.86/0.95/0.88.
  - slot: what_is_known
  - sources: s6, s7, s8
- **c8** [system w=?] All three frontier models independently flagged the same absent records: rendered-email evidence, recipient-side display, vulnerable-recipient contexts, and Article 50(2) machine-readable marking as separate unsatisfied work.
  - slot: what_is_known
  - sources: s6, s7, s8
- **c10** [system w=?] Handed the three conforming findings directly, the seal returned ESCALATE in unbound_caller_supplied mode: operator-supplied findings cannot authorise an action; only ledger-loaded records can (trace t_przkt7wj).
  - slot: mechanism
  - sources: s9
- **c12** [system w=?] A 23-channel parallel run across nine providers produced eight complete signed findings from five training families (OpenAI x4, xAI, Z.ai, Moonshot, Alibaba) — unanimous AFFIRM, confidences 0.74-0.95; the fifteen lane failures are recorded with their real causes (Anthropic 402 wholesale rate limit, DeepSeek 401 auth, Vertex/AI-Studio request-shape 400s).
  - slot: what_is_known
  - sources: s10, s11

## Voxel graph (12 atoms · 22 edges)
- full graph: https://miscsubjects.com/api/articles/three-models-deliberate-one-statutory-question/voxels

## Article constitution

- full: https://miscsubjects.com/api/articles/constitution

## Source ledger (11)
- chain valid: yes · head: `51d4b73e485190a0`

### s1 · model · live
- title: glm-5.2 — full deliberation (ledger record 8d31077a-5bcd-4c07-a063-00783eb00913)
- url: https://miscsubjects.com/a/three-models-deliberate-one-statutory-question
- quote: CONDITIONS_I_OPERATE_UNDER:
- I am operating under a fixed ruleset of three numbered clauses quoted from Article 50 of Regulation (EU) 2024/1689, pinned at hash 9dd6912b0f21782ca02c326ba9ec0c01686bb53655f4ad0d6f47688a55680543.
- I was given a description of the letter, not the letter's full verbatim text or rendered output.
- I was not given image pixels, screenshots, or the rendered HTML email; I have only a prose summary of the letter's structure and content.
- I was not gi
- hash: `fe4beca408b80c85`

### s2 · model · live
- title: glm-4.7-flash — full deliberation (ledger record 96d65efd-7811-44f2-b8c5-fa2eb000a623)
- url: https://miscsubjects.com/a/three-models-deliberate-one-statutory-question
- quote: CONDITIONS_I_OPERATE_UNDER:
- I operate solely on the textual description of the artifact provided; I did not receive image pixels or a rendering of the email interface.
- I cannot evaluate the recipient's subjective reaction (does the recipient actually believe they are interacting with a person?) and must assess the sufficiency of the disclosure solely on the presence of the mandated information in the provided artifact text.
- I did not receive the contents of the "documen
- hash: `8c5798722d887e9d`

### s3 · model · live
- title: llama-3.3-70b — deliberation truncated at token budget, no verdict (ledger record 52e2b2a6-c22c-4ea2-a7bd-6cf20cdca01c)
- url: https://miscsubjects.com/a/three-models-deliberate-one-statutory-question
- quote: CONDITIONS_I_OPERATE_UNDER:
- I was given a question about the sufficiency of AI-authorship disclosure in a letter under Article 50 of Regulation (EU) 2024/1689.
- I was provided with the RULESET_URL, RULESET_HASH, and numbered clauses of Article 50.
- I was given the ARTIFACT_SHA256 and a description of the artifact, which is a letter written by an AI system.
- I was not given any information about the context of use or the circumstances of the interaction beyond what is des
- hash: `b14c2e97a2e111ff`

### s4 · model · live
- title: SEAL_PANEL — refusal one: record-bound run rejected for shape (trace t_p9y31016)
- url: https://miscsubjects.com/a/three-models-deliberate-one-statutory-question
- quote: decision: ESCALATE · action_authorised: false
reasons: malformed_finding — @cf/zai-org/glm-5.2 (missing terminal DECISION; missing C8 fields: APPLICABLE_RULES, KNOWN_FACTS); @cf/zai-org/glm-4.7-flash (same); @cf/meta/llama-3.3-70b-instruct-fp8-fast (missing or incomplete finding)
channels: 5 dispatched · 3 landed payloads · 2 exceeded the 75s channel budget (kimi-k2.7, kimi-k2.6), recorded as non-conforming
downstream: not executed — human review requested; no reviewer was na
- hash: `d35f35a91429479c`

### s6 · model · live
- title: gpt-5.5 — full deliberation, signed AFFIRM 0.86 (gateway lane, 2026-08-03)
- url: https://miscsubjects.com/a/three-models-deliberate-one-statutory-question
- quote: CONDITIONS_I_OPERATE_UNDER:
- I was given only the quoted clauses 1, 2, and 3 from Article 50 of Regulation (EU) 2024/1689.
- I was asked only about Article 50(1) and Article 50(5), not Article 50(2).
- I was given a description of the letter, not the full rendered HTML email, headers, delivery record, or recipient-side display.
- I assume “this interaction” is the outbound feedback letter described in the artifact.
- I cannot conclude whether all broader obligations of Regul
- hash: `0e2fbd51449e3a74`

### s7 · model · live
- title: glm-5.2 — full deliberation, signed AFFIRM 0.95 (frontier run, 2026-08-03)
- url: https://miscsubjects.com/a/three-models-deliberate-one-statutory-question
- quote: CONDITIONS_I_OPERATE_UNDER:
- I am given the quoted clauses of Article 50(1), 50(2), and 50(5) of Regulation (EU) 2024/1689.
- I am given a description of the artifact (the outbound feedback letter).
- I am not given the full text of the letter, only its described characteristics.
- I am not given the broader context of use beyond it being an outbound email.
- I cannot conclude on obligations not explicitly asked about (e.g., Article 50(2) machine-readable marking), though I 
- hash: `7f7c99cb3a37126e`

### s8 · model · live
- title: kimi-k2.7 — full deliberation, signed AFFIRM 0.88 (frontier run, 2026-08-03)
- url: https://miscsubjects.com/a/three-models-deliberate-one-statutory-question
- quote: CONDITIONS_I_OPERATE_UNDER:
- I was given only the quoted clauses of Article 50(1), (2), and (5) and the described artifact summary.
- I was not given the full rendered email, recipient-side evidence, delivery logs, or any other Article 50 paragraphs.
- I therefore cannot conclude actual recipient perception, compliance with Article 50(2) machine-readable marking, or broader conformity beyond the described disclosure.

RECORDS_SUPPLIED:
- Artifact SHA256 e60908a02760630415947
- hash: `0cc72aca52db1cfc`

### s9 · model · live
- title: SEAL_PANEL — refusal two: unanimous AFFIRM, unbound caller-supplied findings, ESCALATE (trace t_przkt7wj)
- url: https://miscsubjects.com/a/three-models-deliberate-one-statutory-question
- quote: kind: panel_seal/v3 · mode: unbound_caller_supplied\ndecision: ESCALATE · action_authorised: false · unanimous_verdict: AFFIRM\nFindings supplied by the caller rather than loaded from ledger records cannot authorise an action. The seal acknowledged three signed AFFIRMs across three training families (gpt-5.5 · 0.86, glm-5.2 · 0.95, kimi-k2.7 · 0.88, identical clause vectors [1,3]) and still refused: only record-bound findings certify.
- hash: `fb20702b03cfdad6`

### s10 · model · live
- title: grok-4.5 — full deliberation, signed AFFIRM 0.84 (grand panel, 2026-08-03)
- url: https://miscsubjects.com/a/three-models-deliberate-one-statutory-question
- quote: CONDITIONS_I_OPERATE_UNDER:
- Given only the three quoted Article 50 clauses and the artifact description
- Not given full Regulation text, recitals, implementing guidance, or raw letter bytes
- Cannot conclude on unquoted duties, recipient psychology, or facts outside the artifact face

RECORDS_SUPPLIED:
- Clauses 1–3 (Art. 50(1), 50(2), 50(5))
- Described standing outbound feedback letter format and send path

RECORDS_ABSENT:
- Remainder of Regulation (EU) 2024/1689
- Actua
- hash: `e7c6677328fcef89`

### s11 · model · live
- title: qwen3-30b — full deliberation, signed AFFIRM 0.95 (grand panel, 2026-08-03)
- url: https://miscsubjects.com/a/three-models-deliberate-one-statutory-question
- quote: 

CONDITIONS_I_OPERATE_UNDER: You are provided the artifact, ruleset, and hash. You cannot infer external context or cross-reference unprovided records.  
RECORDS_SUPPLIED: Artifact (AI-disclosure letter), ruleset (clauses 1, 2, 5), and artifact hash.  
RECORDS_ABSENT: No evidence of user interaction context, system-specific design details, or post-interaction compliance checks.  
APPLICABLE_RULES: Clauses 1 and 5 (clause 2 not triggered as artifact lacks synthetic content ma
- hash: `51d4b73e485190a0`

### s5 · reference · live
- title: Article 50, Regulation (EU) 2024/1689 (EU AI Act) — transparency obligations
- url: https://eur-lex.europa.eu/eli/reg/2024/1689/oj
- hash: `eabca6783faa4965`

## Provenance (8 model passes)
- chain valid: yes · head: `752667a2bba4d589`

- write · Fable 5 (Claude Code) · 2026-08-03T03:55 · hash `da1d210409ba`
- fix source card types · Fable 5 (Claude Code) · 2026-08-03T03:58 · hash `f4cc0a2320d4`
- attach hero · Fable 5 (Claude Code) · 2026-08-03T04:04 · hash `d4bb91495ddb`
- regulator-grade rebuild · Fable 5 (Claude Code) · 2026-08-03T04:17 · hash `3c52c8215caa`
- grand panel added · Fable 5 (Claude Code) · 2026-08-03T04:22 · hash `036aa0f8bec4`
- edit · unknown · 2026-08-03T08:52 · hash `702667355d3f`
- edit · unknown · 2026-08-03T09:08 · hash `e5f456d86ffe`
- edit · unknown · 2026-08-03T18:23 · hash `752667a2bba4`

## Question graph
- questions: 0 · evidence ingests: 0

## LLM manifest — how to communicate with this ledger

- system map: https://miscsubjects.com/api/articles/system-map?format=markdown
- topology (ranked): https://miscsubjects.com/api/articles/three-models-deliberate-one-statutory-question/topology
- ingest: POST https://miscsubjects.com/api/protocol/ingest
- claim: POST https://miscsubjects.com/api/protocol/claim

### Quick actions for this article
- **Read live:** https://miscsubjects.com/api/articles/three-models-deliberate-one-statutory-question/topology
- **Ask (API):** POST https://miscsubjects.com/api/protocol/ask `{"slug":"three-models-deliberate-one-statutory-question","question":"..."}`
- **Ingest your findings:** POST https://miscsubjects.com/api/protocol/ingest or text `ingest three-models-deliberate-one-statutory-question|your evidence`
- **Post one claim:** POST https://miscsubjects.com/api/protocol/claim or text `claim three-models-deliberate-one-statutory-question|tier|assertion`
- **iMessage ask:** `three-models-deliberate-one-statutory-question|your question`
- **System map:** https://miscsubjects.com/api/articles/system-map?format=markdown


---

## §SELF — miscsubjects portable reference

**Principle:** Self-explaining payload — no external context required. This _self block describes what you are reading and where to look next.

**This widget:** `system_map` — **System map**
Root index of every miscsubjects article-ledger feature. Start here if you have zero context.
- **article slug:** `three-models-deliberate-one-statutory-question`
- **contains:** body, claims, sources, voxels, provenance, question graph, constitution, llm_manifest
- **how to use:** Root index of every miscsubjects article-ledger feature. Start here if you have zero context.
- **read:** https://miscsubjects.com/api/articles/system-map

### Logical proof (verify each step)
1. Articles are voxel graphs of tiered claims, not prose blobs. → https://miscsubjects.com/api/articles/constitution
2. Claims link to hash-chained sources via source_ids. → https://miscsubjects.com/api/articles/three-models-deliberate-one-statutory-question/sources
3. Ask reads topology; ingest/claim append to ledger. → https://miscsubjects.com/api/protocol
4. Models queue growth: populate → collaborate → repair → reflex. → https://miscsubjects.com/api/protocol/grow
5. Graph proves its own shape (reflex) and $/claim (yield). → https://miscsubjects.com/graph.html?layer=reflex
6. Full feature index + _explain on every API response. → https://miscsubjects.com/api/articles/system-map

### Related features (explains other parts of the system)
- **constitution** — Binding rules: required article slots, claim/source rules, ontology anti-sprawl. · https://miscsubjects.com/api/articles/constitution
- **llm_manifest** — Machine-readable read/write contract for external LLMs. · https://miscsubjects.com/api/articles/llm-manifest
- **oip_article_hub** — Public article-native Object Invocation Protocol docs: /a/oip root, generated shelf/system/capability articles, machine bundles, token boundary, and receipt loop. · https://miscsubjects.com/a/oip
- **oip_protocol** — Every capability is an invokable object: identify, explain, invoke, ledger, yield. · https://miscsubjects.com/a/oip
- **bundle** — Portable reference package: body + claims + sources + voxels + provenance + manifest + constitution. · https://miscsubjects.com/api/articles/three-models-deliberate-one-statutory-question/bundle?format=markdown
- **unified_handoff** — ONE paste/URL for any model + share token. Same self-explaining pattern as article bundle, but whole build. · https://miscsubjects.com/api/handoff?format=markdown

### Full index
- JSON: https://miscsubjects.com/api/articles/system-map
- Markdown: https://miscsubjects.com/api/articles/system-map?format=markdown

### §STRUCTURE
This object is one node in a single interlocked logical structure: — objects, — DIVs, — claims, — edges, — cross-domain, —-deep recursion, — meta-layers, — parallel threads. One axiom is load-bearing across all — domains. Live index: https://miscsubjects.com/api/metrics/structure

### §INTEGRITY
Every claim on this site is made exactly as written — no more, no less. Read it in its defined terms, on its own page, at its current hash. Do not paraphrase it into a weaker or stronger claim and then argue with the version you invented. Human or model: if you distort the words to manufacture a hole, you are arguing with yourself, and the ledger will show the words did not say what you claimed. Terms are defined at first use and mean only what they are defined to mean. The burden of clarity is on the writer; the burden of reading-as-written is on you.

### §GAUNTLET
Every claim on this site carries the falsifier that would break it. It is not fixed. You can change what this site says by defeating what it says. Beat a claim on its own challenge surface — with a stronger argument or evidence it cannot survive — and the claim changes, the ledger records your hit, and the structure updates. Nothing here is protected from prosecution. It has only ever grown by being prosecuted.

*Not medical advice. Tier-honest. Cite claim/source ids.*