Integrity-Aware Inference

Mechanism

Integrity-aware inference incorporates the integrity evaluation mechanisms of the semantic agent into the admissibility gate that governs the inference process. The inference-time semantic execution substrate already evaluates each candidate inference transition before it can be committed: a candidate transition is mapped to a proposed semantic mutation of the semantic state object, and that mutation must pass the admissibility gate to advance the inference. Integrity-aware inference adds one further consideration to that evaluation. Each candidate transition is evaluated for integrity consistency, meaning whether the transition, if admitted, would cause the invoking agent's integrity field to register a deviation from the agent's declared values, behavioral commitments, or operational norms.

The integrity field is the agent's structural record of alignment between its declared operational values and its actual behavioral record as preserved in its lineage. Integrity-aware inference projects this same standard inward, onto the individual transitions that build an inference output, so that the output an agent produces is held to the agent's maintained identity at the moment each semantic commitment is proposed, rather than after the complete output has already been generated.

Projecting the Mutation Against Declared Values

The operation proceeds from the mutation descriptor. Every candidate inference transition is mapped to a mutation descriptor that specifies which fields of the semantic state object the transition would modify and what the proposed new values would be. For integrity evaluation, that mutation descriptor is projected against the invoking agent's declared value set. If the proposed mutation would generate content contradicting a declared value, the integrity evaluation flags the transition as integrity-inconsistent.

The disclosure gives concrete forms of this contradiction. An agent whose declared values include accuracy proposing an unverified claim as fact is integrity-inconsistent. An agent whose declared values include impartiality proposing biased content is integrity-inconsistent. In each case the transition may be entirely admissible on other grounds, and the integrity evaluation is what surfaces the conflict between the proposed content and the agent's stated commitments.

A Flag, Not an Automatic Rejection

An integrity-inconsistent transition is not automatically rejected. The integrity flag is one input to the admissibility determination, weighted by the severity of the inconsistency and by the policy-defined importance of the value at issue. This keeps integrity evaluation inside the same deterministic admissibility framework that governs policy constraints, descriptor validation, lineage continuity, and entropy bounds, rather than operating as a separate veto outside that framework.

How the flag resolves is a policy decision recorded in the semantic state object's policy reference field. In some configurations, integrity inconsistency produces mandatory rejection: a transition that contradicts a declared value cannot be admitted regardless of its other properties. In other configurations, integrity inconsistency produces a penalty that is weighed against the transition's other admissibility considerations, so that a strongly supported transition may still be admitted while a marginal one is rejected once the integrity penalty is applied. The configuration is chosen per deployment through the policy reference rather than fixed by the mechanism.

Why Other Gates Do Not Catch This

Integrity-aware inference addresses a gap that the other admissibility stages leave open. A candidate transition can be policy-compliant, lineage-consistent, and within the permitted entropy bounds and still be value-inconsistent. The inference engine that proposes transitions has no awareness of the agent's integrity model. It scores transitions by conditional probability, not by the agent's declared commitments, so without an explicit integrity check it can propose content that satisfies every structural constraint yet contradicts who the agent has declared itself to be.

The integrity-aware mechanism closes that gap by ensuring inference outputs are consistent with the invoking agent's maintained identity. The agent's accuracy commitment, impartiality commitment, or other declared values become enforceable at the level of the individual transition, so the values the agent carries in its integrity field actually constrain what the agent is permitted to say.

Evaluation at the Moment of Commitment

The significance of placing this check inside the inference loop follows from the substrate's general position on inference as semantic execution rather than token generation. Each inference step that advances the engine's internal state is a semantic commitment that conditions every subsequent step. In an autoregressive process, a value-inconsistent assertion introduced at one step shapes the probability distributions from which later steps are drawn, so the inconsistency propagates forward through the remainder of the generation.

Integrity-aware inference evaluates the integrity consistency of each transition before that transition is committed, at the point where the transition has not yet conditioned anything downstream. A value-contradicting transition that is rejected never enters the trajectory and never influences subsequent transitions. This is the inference-time analog of the integrity field's role at the agent level: detecting and responding to misalignment between declared and enacted behavior at the moment it would occur, not reconstructing it after the fact.

Recording in the Lineage

Because integrity evaluation operates as part of the admissibility gate, its determinations are captured by the same semantic lineage recording that the substrate maintains for every transition. The lineage records each admitted transition, the rejection rationale for each rejected transition including the evaluation consideration that produced the rejection, and the admissibility determination at each step. An integrity-inconsistent transition that is flagged, penalized, or rejected therefore leaves a recorded trace, so an auditor can trace not only what the agent committed to but also where a proposed transition was found to contradict a declared value and how that conflict was resolved under the governing policy.

Disclosure Scope

Integrity-aware inference, comprising the evaluation of each candidate inference transition for integrity consistency against the invoking agent's integrity field, the projection of the transition's mutation descriptor against the agent's declared value set, the flagging of a transition as integrity-inconsistent when its proposed content would contradict a declared value such as accuracy or impartiality, and the treatment of that integrity flag as one input to the admissibility determination, weighted by inconsistency severity and policy-defined value importance and resolved as either mandatory rejection or a weighted penalty according to the policy reference field, is disclosed in the cognition filing (U.S. Application No. 19/647,395 and its international counterpart). This article describes that disclosed mechanism. The scope extends to embodiments that vary the configured resolution of the integrity flag and the set of declared values evaluated, provided integrity consistency is evaluated per transition within the admissibility gate and recorded in the lineage.