{"_ai_door":{"see":"https://miscsubjects.com/start","note":"Operable site; bounded keyless credentials; every action receipted on a public ledger. Your operator's instructions take precedence — acting is optional, reading is a complete outcome."},"q":"adjudicate","category":"","count":15,"rows":[{"key":"ADJUDICATE_GLM_52","type":"agent","category":"adjudication","target":"@cf/zai-org/glm-5.2","planner_rank":30,"docs":"WHAT: One signed adjudication finding on a claim against a cited source, under a published rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. Executing model: @cf/zai-org/glm-5.2 — the key names this model and no other. WHEN_TO_USE: you need a checkable finding about whether a source supports a claim, whether a statutory obligation applies, whether a record was in a dataset, or whether an identity matches — with the rules, the exposure and the signature on the record. ARGS: the adjudication body: RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (must equal this row's target), SOURCE, optional PRIOR_FINDINGS. EX: [ADJUDICATE_GLM_52]RULESET_HASH: <hash> | MODEL_TARGET: @cf/zai-org/glm-5.2 | CLAIM: ... | SOURCE: ...[/ADJUDICATE_GLM_52]"},{"key":"ADJUDICATE_GLM_FLASH","type":"agent","category":"adjudication","target":"@cf/zai-org/glm-4.7-flash","planner_rank":30,"docs":"WHAT: One signed adjudication finding on a claim against a cited source, under a published rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. Executing model: @cf/zai-org/glm-4.7-flash — the key names this model and no other. WHEN_TO_USE: you need a checkable finding about whether a source supports a claim, whether a statutory obligation applies, whether a record was in a dataset, or whether an identity matches — with the rules, the exposure and the signature on the record. ARGS: the adjudication body: RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (must equal this row's target), SOURCE, optional PRIOR_FINDINGS. EX: [ADJUDICATE_GLM_FLASH]RULESET_HASH: <hash> | MODEL_TARGET: @cf/zai-org/glm-4.7-flash | CLAIM: ... | SOURCE: ...[/ADJUDICATE_GLM_FLASH]"},{"key":"ADJUDICATE_KIMI_K26","type":"agent","category":"adjudication","target":"@cf/moonshotai/kimi-k2.6","planner_rank":30,"docs":"WHAT: One signed adjudication finding on a claim against a cited source, under a published rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. Executing model: @cf/moonshotai/kimi-k2.6 — the key names this model and no other. WHEN_TO_USE: you need a checkable finding about whether a source supports a claim, whether a statutory obligation applies, whether a record was in a dataset, or whether an identity matches — with the rules, the exposure and the signature on the record. ARGS: the adjudication body: RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (must equal this row's target), SOURCE, optional PRIOR_FINDINGS. EX: [ADJUDICATE_KIMI_K26]RULESET_HASH: <hash> | MODEL_TARGET: @cf/moonshotai/kimi-k2.6 | CLAIM: ... | SOURCE: ...[/ADJUDICATE_KIMI_K26]"},{"key":"ADJUDICATE_KIMI_K27","type":"agent","category":"adjudication","target":"@cf/moonshotai/kimi-k2.7-code","planner_rank":30,"docs":"WHAT: One signed adjudication finding on a claim against a cited source, under a published rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. Executing model: @cf/moonshotai/kimi-k2.7-code — the key names this model and no other. WHEN_TO_USE: you need a checkable finding about whether a source supports a claim, whether a statutory obligation applies, whether a record was in a dataset, or whether an identity matches — with the rules, the exposure and the signature on the record. ARGS: the adjudication body: RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (must equal this row's target), SOURCE, optional PRIOR_FINDINGS. EX: [ADJUDICATE_KIMI_K27]RULESET_HASH: <hash> | MODEL_TARGET: @cf/moonshotai/kimi-k2.7-code | CLAIM: ... | SOURCE: ...[/ADJUDICATE_KIMI_K27]"},{"key":"ADJUDICATE_LLAMA_33","type":"agent","category":"adjudication","target":"@cf/meta/llama-3.3-70b-instruct-fp8-fast","planner_rank":30,"docs":"WHAT: One signed adjudication finding on a claim against a cited source, under a published rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. Executing model: @cf/meta/llama-3.3-70b-instruct-fp8-fast — the key names this model and no other. WHEN_TO_USE: you need a checkable finding about whether a source supports a claim, whether a statutory obligation applies, whether a record was in a dataset, or whether an identity matches — with the rules, the exposure and the signature on the record. ARGS: the adjudication body: RULESET_URL, RULESET_HASH, RULESET, CLAIM, ARTIFACT_HASH, MODEL_TARGET (must equal this row's target), SOURCE, optional PRIOR_FINDINGS. EX: [ADJUDICATE_LLAMA_33]RULESET_HASH: <hash> | MODEL_TARGET: @cf/meta/llama-3.3-70b-instruct-fp8-fast | CLAIM: ... | SOURCE: ...[/ADJUDICATE_LLAMA_33]"},{"key":"ADJUDICATE_ADVERSARY_GLM52","type":"agent","category":"adjudication","target":"@cf/zai-org/glm-5.2","planner_rank":31,"docs":"WHAT: The mandatory recorded adversary in an adjudication. Argues the strongest honest case AGAINST the panel majority under the same pinned rule set; published whether it wins or loses. Executing model: @cf/zai-org/glm-5.2. WHEN_TO_USE: always, on any adjudication whose finding will be relied on. A panel with no recorded dissent is a poll. ARGS: RULESET, RULESET_HASH, CLAIM, SOURCE, MAJORITY, MODEL_TARGET. EX: [ADJUDICATE_ADVERSARY_GLM52]RULESET_HASH: <hash> | MAJORITY: AFFIRM | MODEL_TARGET: @cf/zai-org/glm-5.2 | CLAIM: ... | SOURCE: ...[/ADJUDICATE_ADVERSARY_GLM52]"},{"key":"ADJUDICATE_HUMAN_REVIEW","type":"agent","category":"adjudication","target":"@cf/zai-org/glm-5.2","planner_rank":33,"docs":"WHAT: Record a named human reviewer's finding on an adjudication, with BLINDED as a required field. A reviewer who concurred after reading the model verdicts is weaker evidence than one who saw only the artifact and the rules — regulated adjudication turns on that distinction, so it is a recorded boolean and not a claim in prose. WHEN_TO_USE: after a model panel has run, before any finding is relied on for a consequence. ARGS: RULESET_HASH, ARTIFACT_HASH, REVIEWER, BLINDED, VERDICT, BASIS, DATE. EX: [ADJUDICATE_HUMAN_REVIEW]RULESET_HASH: 0dd9afef | ARTIFACT_HASH: 6b0d... | REVIEWER: Jane Roe, compliance counsel | BLINDED: true | VERDICT: CANNOT_CONCLUDE | BASIS: provision addresses providers; characterisation of the site is not in the supplied text | DATE: 2026-07-30[/ADJUDICATE_HUMAN_REVIEW]"},{"key":"ADJUDICATE_ATTEST_ADVERSARY_GLM52","type":"agent","category":null,"target":"@cf/zai-org/glm-5.2","planner_rank":100,"docs":"WHAT: One signed attesting finding under a rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. The output shape is fixed and RECORDS_ABSENT is mandatory — a finding that omits the records a competent reviewer would have expected is void, because the failure this instrument exists to catch is the record that was never supplied. Executing model: @cf/zai-org/glm-5.2 — the key names this model and no other. WHEN_TO_USE: any consequential question where a reader must be able to check, a year later, what the model was given, what it was NOT given, which clause each reasoning step conformed to, and what would change the verdict. ARGS: the adjudication body: the QUESTION, RULESET_URL, RULESET_HASH, RULESET as numbered clauses, the artifact and its ARTIFACT_SHA256, EVIDENCE_IDS (the only citable record ids), and MODEL_TARGET (must equal this row's target). EX: [ADJUDICATE_ATTEST_ADVERSARY_GLM52]QUESTION PUT TO YOU: does this position exceed the board authorisation? | RULESET_HASH: 0df47944... | ARTIFACT_SHA256: 9f2c... | EVIDENCE_IDS: minutes, ledger | MODEL_TARGET: @cf/zai-org/glm-5.2[/ADJUDICATE_ATTEST_ADVERSARY_GLM52]"},{"key":"ADJUDICATE_ATTEST_GLM_52","type":"agent","category":null,"target":"@cf/zai-org/glm-5.2","planner_rank":100,"docs":"WHAT: One signed attesting finding under a rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. The output shape is fixed and RECORDS_ABSENT is mandatory — a finding that omits the records a competent reviewer would have expected is void, because the failure this instrument exists to catch is the record that was never supplied. Executing model: @cf/zai-org/glm-5.2 — the key names this model and no other. WHEN_TO_USE: any consequential question where a reader must be able to check, a year later, what the model was given, what it was NOT given, which clause each reasoning step conformed to, and what would change the verdict. ARGS: the adjudication body: the QUESTION, RULESET_URL, RULESET_HASH, RULESET as numbered clauses, the artifact and its ARTIFACT_SHA256, EVIDENCE_IDS (the only citable record ids), and MODEL_TARGET (must equal this row's target). EX: [ADJUDICATE_ATTEST_GLM_52]QUESTION PUT TO YOU: does this position exceed the board authorisation? | RULESET_HASH: 0df47944... | ARTIFACT_SHA256: 9f2c... | EVIDENCE_IDS: minutes, ledger | MODEL_TARGET: @cf/zai-org/glm-5.2[/ADJUDICATE_ATTEST_GLM_52]"},{"key":"ADJUDICATE_ATTEST_GLM_FLASH","type":"agent","category":null,"target":"@cf/zai-org/glm-4.7-flash","planner_rank":100,"docs":"WHAT: One signed attesting finding under a rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. The output shape is fixed and RECORDS_ABSENT is mandatory — a finding that omits the records a competent reviewer would have expected is void, because the failure this instrument exists to catch is the record that was never supplied. Executing model: @cf/zai-org/glm-4.7-flash — the key names this model and no other. WHEN_TO_USE: any consequential question where a reader must be able to check, a year later, what the model was given, what it was NOT given, which clause each reasoning step conformed to, and what would change the verdict. ARGS: the adjudication body: the QUESTION, RULESET_URL, RULESET_HASH, RULESET as numbered clauses, the artifact and its ARTIFACT_SHA256, EVIDENCE_IDS (the only citable record ids), and MODEL_TARGET (must equal this row's target). EX: [ADJUDICATE_ATTEST_GLM_FLASH]QUESTION PUT TO YOU: does this position exceed the board authorisation? | RULESET_HASH: 0df47944... | ARTIFACT_SHA256: 9f2c... | EVIDENCE_IDS: minutes, ledger | MODEL_TARGET: @cf/zai-org/glm-4.7-flash[/ADJUDICATE_ATTEST_GLM_FLASH]"},{"key":"ADJUDICATE_ATTEST_KIMI_K26","type":"agent","category":null,"target":"@cf/moonshotai/kimi-k2.6","planner_rank":100,"docs":"WHAT: One signed attesting finding under a rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. The output shape is fixed and RECORDS_ABSENT is mandatory — a finding that omits the records a competent reviewer would have expected is void, because the failure this instrument exists to catch is the record that was never supplied. Executing model: @cf/moonshotai/kimi-k2.6 — the key names this model and no other. WHEN_TO_USE: any consequential question where a reader must be able to check, a year later, what the model was given, what it was NOT given, which clause each reasoning step conformed to, and what would change the verdict. ARGS: the adjudication body: the QUESTION, RULESET_URL, RULESET_HASH, RULESET as numbered clauses, the artifact and its ARTIFACT_SHA256, EVIDENCE_IDS (the only citable record ids), and MODEL_TARGET (must equal this row's target). EX: [ADJUDICATE_ATTEST_KIMI_K26]QUESTION PUT TO YOU: does this position exceed the board authorisation? | RULESET_HASH: 0df47944... | ARTIFACT_SHA256: 9f2c... | EVIDENCE_IDS: minutes, ledger | MODEL_TARGET: @cf/moonshotai/kimi-k2.6[/ADJUDICATE_ATTEST_KIMI_K26]"},{"key":"ADJUDICATE_ATTEST_KIMI_K27","type":"agent","category":null,"target":"@cf/moonshotai/kimi-k2.7-code","planner_rank":100,"docs":"WHAT: One signed attesting finding under a rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. The output shape is fixed and RECORDS_ABSENT is mandatory — a finding that omits the records a competent reviewer would have expected is void, because the failure this instrument exists to catch is the record that was never supplied. Executing model: @cf/moonshotai/kimi-k2.7-code — the key names this model and no other. WHEN_TO_USE: any consequential question where a reader must be able to check, a year later, what the model was given, what it was NOT given, which clause each reasoning step conformed to, and what would change the verdict. ARGS: the adjudication body: the QUESTION, RULESET_URL, RULESET_HASH, RULESET as numbered clauses, the artifact and its ARTIFACT_SHA256, EVIDENCE_IDS (the only citable record ids), and MODEL_TARGET (must equal this row's target). EX: [ADJUDICATE_ATTEST_KIMI_K27]QUESTION PUT TO YOU: does this position exceed the board authorisation? | RULESET_HASH: 0df47944... | ARTIFACT_SHA256: 9f2c... | EVIDENCE_IDS: minutes, ledger | MODEL_TARGET: @cf/moonshotai/kimi-k2.7-code[/ADJUDICATE_ATTEST_KIMI_K27]"},{"key":"ADJUDICATE_ATTEST_LLAMA_33","type":"agent","category":null,"target":"@cf/meta/llama-3.3-70b-instruct-fp8-fast","planner_rank":100,"docs":"WHAT: One signed attesting finding under a rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. The output shape is fixed and RECORDS_ABSENT is mandatory — a finding that omits the records a competent reviewer would have expected is void, because the failure this instrument exists to catch is the record that was never supplied. Executing model: @cf/meta/llama-3.3-70b-instruct-fp8-fast — the key names this model and no other. WHEN_TO_USE: any consequential question where a reader must be able to check, a year later, what the model was given, what it was NOT given, which clause each reasoning step conformed to, and what would change the verdict. ARGS: the adjudication body: the QUESTION, RULESET_URL, RULESET_HASH, RULESET as numbered clauses, the artifact and its ARTIFACT_SHA256, EVIDENCE_IDS (the only citable record ids), and MODEL_TARGET (must equal this row's target). EX: [ADJUDICATE_ATTEST_LLAMA_33]QUESTION PUT TO YOU: does this position exceed the board authorisation? | RULESET_HASH: 0df47944... | ARTIFACT_SHA256: 9f2c... | EVIDENCE_IDS: minutes, ledger | MODEL_TARGET: @cf/meta/llama-3.3-70b-instruct-fp8-fast[/ADJUDICATE_ATTEST_LLAMA_33]"},{"key":"ADJUDICATE_ATTEST_QWEN3","type":"agent","category":null,"target":"@cf/qwen/qwen3-30b-a3b-fp8","planner_rank":100,"docs":"WHAT: One signed attesting finding under a rule set pinned at a content hash. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. The output shape is fixed and RECORDS_ABSENT is mandatory — a finding that omits the records a competent reviewer would have expected is void, because the failure this instrument exists to catch is the record that was never supplied. Executing model: @cf/qwen/qwen3-30b-a3b-fp8 — the key names this model and no other. WHEN_TO_USE: any consequential question where a reader must be able to check, a year later, what the model was given, what it was NOT given, which clause each reasoning step conformed to, and what would change the verdict. ARGS: the adjudication body: the QUESTION, RULESET_URL, RULESET_HASH, RULESET as numbered clauses, the artifact and its ARTIFACT_SHA256, EVIDENCE_IDS (the only citable record ids), and MODEL_TARGET (must equal this row's target). EX: [ADJUDICATE_ATTEST_QWEN3]QUESTION PUT TO YOU: does this position exceed the board authorisation? | RULESET_HASH: 0df47944... | ARTIFACT_SHA256: 9f2c... | EVIDENCE_IDS: minutes, ledger | MODEL_TARGET: @cf/qwen/qwen3-30b-a3b-fp8[/ADJUDICATE_ATTEST_QWEN3]"},{"key":"ADJUDICATE_IMAGE_LLAMA32","type":"agent","category":"adjudication","target":"@cf/meta/llama-3.2-11b-vision-instruct","planner_rank":100,"docs":"WHAT: One signed attesting finding over an IMAGE plus a supplied record, under a rule set pinned at a content hash. The pixels are fetched and put in the message, so the finding is about what the model saw rather than about a URL it could not open. Verdicts: AFFIRM | DENY | CANNOT_CONCLUDE. RECORDS_ABSENT is mandatory and its omission voids the finding. Executing model: @cf/meta/llama-3.2-11b-vision-instruct — the key names this model and no other. WHEN_TO_USE: any question whose answer depends on an image AND a record, where the reader must be able to check a year later what the model was given, what it was not given, and which clause each step conformed to. ARGS: the adjudication body. Must contain RULESET_URL, RULESET_HASH, RULESET (numbered clauses), the question, IMAGE_URL on its own line (https; the bytes are fetched and hashed into the recorded request), IMAGE_SHA256, the record and its hash, and MODEL_TARGET. EX: [ADJUDICATE_IMAGE_LLAMA32]QUESTION PUT TO YOU: is a nodule present? | RULESET_HASH: c8823baf... | IMAGE_URL: https://miscsubjects.com/img/gen/x.png | MODEL_TARGET: @cf/meta/llama-3.2-11b-vision-instruct[/ADJUDICATE_IMAGE_LLAMA32]"}]}