Mechanism: Cross-Medium Composite Detection under Governed Lineage

A multi-source corroboration evaluator aggregates departure detections across a plurality of sensing agents to produce corroboration scores. A single-source detection is admitted as a governed observation carrying the source's authority credential, dispositional context, the time and location of capture, the sensing class declaration, and admissibility evidence, and is recorded in the governance-chain lineage field. An observation departing from prior temporal trajectory or sensed-field baseline is admissible at reduced weight pending corroboration, so that consuming agents whose governance policy requires corroboration evaluate it accordingly rather than treating it as a settled determination.

Corroboration aggregates additional observations from independent sensing agents and reconciles them through the cross-domain coherence evaluator under governance policy. The cross-medium composite detection mechanism aggregates disruption observations across two or more field classes, identifies temporal, spatial, and causal correlations among observations of different field classes, maps correlated multi-medium observations to composite disruption classes against a governance-maintained composite-signature library, and records the contributing single-medium observations, the correlation evidence, and the composite classification in lineage. Cross-medium composite detection produces elevated confidence relative to isolated single-medium detection through independent corroboration across orthogonal physical channels. The contributing single-medium observations remain in lineage; the composite determination is a further governed observation propagated through the mesh to downstream consumers.

Adversarially fabricated measurements are addressed by a distinct spoofing-detection mechanism that evaluates signal-integrity attestation, temporal coherence, and spatial coherence tests to distinguish genuine field measurements from fabricated ones. Because each participating field class is governed by a physically distinct sensing apparatus with distinct failure modes, composite determinations are robust to single-medium sensor failure, single-medium jamming, and single-medium spoofing. The architecture does not produce a binary alarm; it records each detection, classification, attribution, probe, and downstream consequence in lineage and produces a graduated response proportional to the classified disruption and its authority, which under governance policy may include credential review or escalation to a higher authority.

Operating Parameters and Engineering Envelope

The principal engineering parameters are the corroboration multiplicity, the spatial and temporal proximity windows, the coherence criterion, the source-independence requirement, and the credential scope. Corroboration multiplicity is the governance-policy-defined number of corroborating observations required, on receipt of which a deferred observation is promoted to an admit outcome within the deferral-expiration window. Spatial and temporal proximity windows specify the spatial region and time interval within which observations must fall to be considered for corroboration; both admit a plurality of governance-policy-defined forms.

The coherence criterion is the governance-policy specification of what constitutes consistency between sources, evaluated by the cross-domain coherence evaluator. It may be expressed as a tolerance on a measured value, as a logical predicate over discrete classifications, or as a statistical test over a distribution of values. Source independence requires that the contributing observations come from a plurality of independent sources of varying authority, sensing across orthogonal physical channels; governance policy specifies the form of independence required for the relevant disruption class.

Credential scope determines which sources are admissible contributors for a given observation class, and revocation of a specific credential or credential class as no longer authoritative propagates into the corroboration computation. The mechanism does not invent trust; it composes governance-credentialed observations under governance policy. Throughput is governed by source supply and corroboration computation; the architecture does not impose a fixed bound and scales with the number of admitted sources and the complexity of the coherence criterion.

Alternative Embodiments

A homogeneous-modality embodiment requires corroboration across multiple instances of the same sensing class, for example, multiple radars at different sites, and is suitable for redundancy against single-instrument failure but provides weaker defense against medium-specific spoofing. A heterogeneous-modality embodiment requires corroboration across distinct physical sensing principles and provides structurally stronger defense against adversarial inputs because an attacker must produce a coherent signal in each medium independently.

A graduated-confidence embodiment increases the governance-policy-defined corroboration multiplicity or applies a stricter coherence criterion for higher-assurance determinations. A graduated-response embodiment couples the corroboration level to an authorized downstream response per Chapter 6, producing a graduated execution response proportional to the classified disruption and its authority rather than a binary alarm.

A cross-mesh embodiment composes multi-source corroboration with the federation primitive, admitting sources operated under different mesh governance regimes where governance policy admits cross-mesh credentials. A retrospective-corroboration embodiment admits observations that were initially held at reduced weight pending corroboration and were promoted only later when additional sources reported aligned observations, supporting retrospective reconstruction with the actual corroboration time recorded in lineage distinct from the original observation time. A negative-corroboration embodiment, used in absence-of-event applications, records a corroborated absence determination when the governance-policy coherence criterion is satisfied by multiple sources reporting no detection in a region of interest.

Composition with Adjacent Primitives

Multi-source corroboration composes with the credential primitive directly: the credential carried by each source is itself a governed observation, and credential revocation propagates to the corroboration computation, so that observations supplied under a revoked credential are not admissible contributors. Credential-scope restrictions on contributor sets are enforced at corroboration time and recorded in the corroboration lineage.

Corroboration composes with the dispute primitive: a corroborated event may be subsequently disputed by a credentialed party, producing a dispute record attached to the corroboration determination; resolution of the dispute may produce a revised or withdrawn determination, with both states preserved in lineage. Corroboration composes with the federation primitive, allowing source sets to span multiple federated meshes under the conditions specified in the federation agreement.

Corroboration composes with the marketplace and settlement primitives in domains where corroborated environmental events trigger contractual outcomes: parametric payout settlement on a governance-credentialed trigger observation in an insurance-risk marketplace, for example, or rights-denominated settlement of carbon credits and water rights. Corroboration composes with the Byzantine-robust coordination mechanism, since a source whose observations consistently fail coherence with independent peers becomes a candidate for credential review under the governance instrument. Corroboration composes with the reconciliation primitive at federation events, where corroboration records are part of the reconciled state.

Prior-Art Distinctions

The mechanism is structurally distinguished from prior intrusion-detection, jamming-detection, spoofing-detection, and anomaly-detection architectures. Prior detectors produce unstructured alarms, whereas the primitive operates through governance-chain-preserving observations carrying authority credentials, dispositional context, and admissibility evidence. Prior detectors are narrowly scoped to a single medium, whereas the primitive is medium-agnostic across radio-frequency, optical, acoustic, thermal-infrared, magnetic, electric, seismic, chemical, radiological, and further field classes through a shared architectural mechanism. Prior detectors operate as isolated single-source alarms, whereas the primitive composes with the cross-domain coherence evaluator to yield multi-source corroborated determinations.

The mechanism is distinct from prior sensor-fusion output formats, which combine inputs without a governance credential per source and without a lineage record naming each contributing observation. The present mechanism treats each source as a governance-credentialed party and records the contributing single-medium observations, the correlation evidence, and the composite classification in lineage. It is likewise distinct from prior voting-based admission mechanisms, which select among redundant inputs by majority or weighted vote without preserving structured lineage and without governance-policy reconciliation.

Prior detectors produce terminal alarms without structural lineage, whereas the primitive carries complete lineage supporting deterministic forensic reconstruction of each detection event. Prior detectors are purely passive, whereas the primitive integrates with the governed active-probe mechanism producing cause-hypothesis discrimination, and prior detectors cannot distinguish genuine from fabricated field measurements, whereas the primitive integrates with the spoofing-detection mechanism producing governance-credentialed authenticity determinations. The combined treatment of source credentialing, cross-medium coherence, governed observation lineage, and graduated response is the structural contribution.

Disclosure Scope

The disclosure encompasses the multi-source corroboration evaluator producing corroboration scores across a plurality of sensing agents, the cross-medium composite detection mechanism, and the recording of contributing single-medium observations, correlation evidence, and composite classification in lineage. It encompasses homogeneous-modality, heterogeneous-modality, graduated-confidence, graduated-response, cross-mesh, retrospective-corroboration, and negative-corroboration embodiments. This disclosure derives from U.S. Provisional Application No. 64/049,409.

The disclosure encompasses cross-medium composite signatures without limitation, including a radio-frequency-and-optical composite signature of a coordinated jamming event, a radio-frequency-and-acoustic composite signature of an unmanned-aerial-system intrusion producing radar return departures and characteristic rotor-acoustic signatures, a thermal-and-chemical composite signature of a combustion event, and a seismic-and-acoustic composite signature of heavy-equipment, structural-failure, or explosive events. It encompasses the composition of the corroboration primitive with the credential, governance, dispute, federation, reconciliation, marketplace, settlement, and Byzantine-robust coordination mechanisms of the underlying mesh.

The disclosure encompasses corroboration multiplicities specified as a governance-policy-defined number of corroborating observations, spatial and temporal proximity windows admitting a plurality of governance-policy-defined forms, and coherence criteria expressed as numerical tolerances, logical predicates, or statistical tests. It encompasses propagation of credential revocation into corroboration computations and escalation through governance instruments. The structural contribution is the treatment of environmental disruption detection as a multi-source, multi-medium governed corroboration operating under the five-property governance chain rather than as an ungoverned sensor fusion or single-source detection, and the present disclosure is intended to cover that structural contribution and its reasonable variants and equivalents.