An interpretive collision occurs when an AI system fuses, confuses, or mixes two distinct entities, concepts, or reference frames because their signals are too close or ambiguous.
Neighborhood contamination designates the phenomenon where an entity's interpretation is altered by the semantic proximity of neighboring content, to the point where AI attributes properties from the environment rather than the canon.
Doctrinal note on the external coherence graph: identifying the sources actually active in an entity's reconstruction by LLMs, detecting contradictions, classifying editable and non-editable nodes, and preparing Q-Layer arbitration.
Clarification distinguishing the source displayed in the answer, the source that changes the shape of the possible answer, and the source whose authority actually prevails in the final reconstruction.
Clarification distinguishing the persistent visibility of an official site from the role of third-party surfaces that still impose the category, comparison, or validity regime of an AI answer.
Clarification of the regimes often conflated when a deleted page continues to appear in AI outputs. Distinguishes deletion of the source, web availability, citation persistence, surviving authority, interpretive remanence, and stateful memory.
Clarification distinguishing AI Search Monitoring as a descriptive monitoring layer and representation governance as the work of bounding, proving, and correcting reconstructed meaning.
Clarification distinguishing citation as a signal of documentary presence and understanding as faithful preservation of object, perimeter, modality, and limits.