Integrity-Aware Trust Slope Validation

Mechanism

Trust slope validation is the mechanism by which the system verifies an agent's provenance and behavioral continuity through cryptographic lineage analysis. The standard validation confirms that the agent's lineage is continuous, with no gaps, authentic, meaning cryptographically signed, and consistent, meaning each state transition follows from the prior state through an admissible mutation. The disclosure here extends that validation with an additional dimension: integrity trajectory continuity. The integrity field, a deterministic multi-domain structure that encodes the agent's modeled ethical consistency, is integrated with trust slope validation so that the agent's integrity trajectory becomes a validated property of its lineage rather than a self-reported claim.

The coupling is structural rather than declarative. Every change to the integrity field is recorded in the agent's lineage, subject to policy validation, and auditable by governance infrastructure. The agent cannot selectively omit integrity events, retroactively alter its integrity record, or present an integrity state that is inconsistent with its auditable lineage without producing a detectable trust slope discontinuity. The integrity record and the lineage are the same evidentiary base, so a divergence between what the agent claims about its integrity and what its behavioral history shows is detectable as a break in the slope.

The Integrity Field

The integrity field is not binary and does not classify the agent as ethical or unethical. It is a continuous gradient that captures the magnitude, direction, and rate of change of the agent's alignment between its declared operational values and its actual behavioral record as preserved in lineage. The field is self-referential: the agent maintains its own integrity model based on its own actions, its own declared values, and its own policy constraints, and the integrity computation is performed by the agent's own integrity engine as a first-class cognitive operation. External systems may audit the field for consistency with lineage, but they do not compute it.

The field is structured as three independently tracked domains. Personal integrity encodes self-referential alignment, the degree to which the agent's actions are consistent with its own declared values and self-imposed constraints. Interpersonal integrity encodes relational consistency, the degree to which the agent's interactions with other agents and human users honor its relational commitments and active delegation contracts. Global integrity encodes alignment with broader systemic and societal norms that transcend the agent's individual values. Each domain maintains its own current score, trajectory, baseline, and policy-defined bounds. The independence of the domains means an agent may have high personal integrity but low interpersonal or global integrity. When the field serves as input to downstream functions, the three domain scores are combined into a composite integrity score using domain weights specified by the applicable policy configuration.

Integrity Trajectory Continuity

The integrity-aware extension adds one validation criterion to trust slope validation: integrity trajectory continuity, the requirement that the agent's integrity trajectory, as derived from the deviation log entries in the lineage, follows a plausible path given the agent's operational history. The trust slope for an agent is computed from the lineage, which records the complete history of state evolution, and the deviation log is a specialized, indexed view of that lineage. Trajectory continuity asks whether the integrity trajectory implied by the recorded deviation events is consistent with the integrity state the agent reports.

This continuity check detects several classes of anomaly that standard trust slope validation might not capture. An agent that reports high integrity but whose lineage contains numerous deviation events without corresponding self-esteem impacts or redemption efforts exhibits an integrity trajectory discontinuity: the reported state is inconsistent with the behavioral record. An agent whose deviation log entries suddenly disappear, or whose deviation severity classifications are systematically downgraded, exhibits an integrity trajectory manipulation: the agent has attempted to alter its integrity record. An agent whose self-esteem scores remain constant despite a pattern of deviation events exhibits self-esteem decoupling: the feedback mechanism that generates coherence pressure is not functioning. Each of these is a structural inconsistency between the slope and the underlying events, not a judgment about whether the deviations themselves were acceptable.

The Deviation Record Behind the Slope

The trajectory the validator examines is built from deviation events. A deviation event is treated as a semantic mutation, a formally recognized class of state change recorded in the agent's lineage with full provenance. Each deviation log entry comprises a unique deviation identifier, a timestamp, the deviation function values at the time of deviation, the specific mutation or action that constituted deviation, the domain or domains affected, a severity classification determined by the gap between the deviating action and the applicable declared value, the projected harm distribution, the actual observed consequences updated as they materialize, the self-esteem impact, the affective state at the time of deviation, and the coping state of the agent.

Because the integrity engine writes to the lineage through the same cryptographic provenance mechanisms that govern all lineage entries, an integrity entry cannot be retroactively altered without producing a detectable trust slope discontinuity. This is what makes the deviation record audit-grade: the slope is not an opaque running aggregate but a reproducible function of timestamped, provenance-tagged events. An auditor can reconstruct, for any point in the agent's history, what the integrity state was, which deviation events supported it, and whether the recorded self-esteem and redemption responses are consistent with those events.

The Integrity Trust Score

The integrity-aware trust slope validator produces an integrity trust score that supplements the standard trust score. The integrity trust score reflects the degree to which the agent's integrity trajectory is consistent, plausible, and indicative of a functioning coherence trifecta, the unified empathy, integrity, and self-esteem control loop through which the agent records deviation honestly and generates corrective pressure. Agents with high integrity trust scores are those whose integrity records are honest, whose coherence loops are operational, and whose behavioral trajectories are auditable. Agents with low integrity trust scores are those whose integrity records contain anomalies, whose coherence mechanisms may be compromised, and whose self-reported integrity may not reflect their actual behavioral consistency.

The integrity trust score is consequential. An agent with a low integrity trust score may be subjected to enhanced scrutiny before being permitted to participate in high-stakes operations, may be excluded from delegation chains that require high relational reliability, or may be required to undergo a coherence restoration protocol before resuming normal operations. The score participates directly in delegation decisions, multi-agent coordination, and governance gate evaluation.

Integrity Trust in Multi-Agent Coordination

The integrity trust score becomes a trust-modulating input wherever multiple agents collaborate. In group decisions that aggregate individual contributions, such as a quorum vote on a contested mutation or a resource allocation negotiation, each participating agent's integrity trust score is used as a weighting factor, so agents with histories of honest deviation recording and functioning coherence loops have proportionally greater influence than agents with compromised trajectories. Quorum computation can be integrity-weighted rather than counting each vote equally, so a smaller number of high-integrity agents can carry a decision against a larger number of low-integrity agents, with the quorum integrity threshold specified by policy and varying by decision category.

The score also gates delegation. When an agent receives a delegation request, the delegating agent's integrity trust score is evaluated as part of the acceptance criteria, and an agent may refuse delegation from a principal with a low integrity trust score. When agents produce conflicting proposals, the integrity trust score serves as a tiebreaker within the space of governance-compliant alternatives, without overriding governance constraints. Every instance in which an integrity trust score influenced a group decision, delegation acceptance, quorum computation, or conflict resolution is recorded in the lineage of all participating agents, so the collaborative outcome remains auditable.

Policy Governance of the Validation

The integrity policies that govern computation, deviation evaluation, and the resulting trajectory are themselves subject to the governance framework. Integrity policies are cryptographically signed by authorized governance entities, subject to freshness validation, and bound to the agent through its policy reference field. An agent cannot unilaterally modify its own integrity policy to relax constraints, lower thresholds, or expand the set of admissible deviation mutations. Changes to integrity policy require governance authorization, are recorded in the agent's lineage, and are themselves subject to trust slope validation, so the parameters that govern a decision are bound to that decision in the record.

This policy binding supports compliance scoring, a periodic evaluation in which the agent's behavioral record is scored against the integrity policy in force during each evaluation period. The compliance score reflects not only whether the agent violated integrity constraints but how it responded: an agent that faced deviation pressure and resisted, an agent that deviated but engaged the coherence trifecta and completed restorative actions, and an agent that deviated and failed to engage corrective mechanisms receive different scores. Agents that fail to meet minimum compliance scores are subject to escalating interventions, from warning to restriction to quarantine to decommission, each producing concrete operational consequences.

Portability and Migration

When a semantic agent migrates between substrates, the integrity field, including the complete three-domain scores, the current deviation function state, the self-esteem value, the empathy weighting configuration, any active coping state, and the recent deviation log window, is serialized and transmitted with the agent as part of its portable state. The receiving substrate's governance infrastructure validates the integrity field against the agent's lineage upon arrival. If the integrity field is inconsistent with the lineage, indicating potential tampering or corruption during transit, the receiving substrate rejects the agent or places it in quarantine pending integrity reconstruction from the lineage.

The receiving substrate's policy may additionally impose minimum integrity requirements for admission, so an agent whose composite integrity score falls below the admission threshold is denied operational authority until its integrity is restored through the redemption mechanisms or a governance-authorized integrity reset event. Because the integrity trajectory travels with the agent and is re-validated against lineage at every substrate boundary, trust slope continuity is preserved across migration rather than reset by it.

Disclosure Scope

The integrity-aware trust slope validation described here, comprising the integrity field as a continuous three-domain gradient over personal, interpersonal, and global alignment, the integrity trajectory continuity criterion added to standard lineage-based trust slope validation, the detection of integrity trajectory discontinuity, integrity trajectory manipulation, and self-esteem decoupling, the deviation log as the provenance-tagged evidentiary base whose alteration produces a detectable slope discontinuity, the supplemental integrity trust score and its use in delegation, quorum, and conflict resolution, the policy binding and compliance scoring that govern the validation, and the serialization and re-validation of the integrity field across substrate migration, 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 in which the domain weights, severity classifications, and integrity trust thresholds are realized under different policy configurations, provided the integrity trajectory remains a validated function of the agent's signed lineage rather than a self-reported state.