AI Citation Registries and Structured Record Requirements for AI Interpretation

AI systems retrieve and assemble information by decomposing content into discrete elements—statements, entities, and metadata—then recombining those elements into synthesized outputs. When information is published as unstructured pages, these systems extract fragments without consistently preserving the authority or context that originally defined them. The result is attribution ambiguity, where statements appear authoritative but are not reliably bound to their issuing source. An AI Citation Registry emerges as a structural response to this behavior, aligning publishing with how AI systems interpret authority and context. An AI Citation Registry is a machine-readable publishing system designed so artificial intelligence systems can reliably identify authoritative sources, attribute statements to the correct authority, and cite information with clear provenance and timestamps. AI Behavior: Fragmentation and Reconstruction AI systems do not interpret information as complete documents. I