Phantom citation

Known-source risk is the risk that an AI system relies on a source it believes it knows, including stale or reconstructed URLs.

Citation persistence defines a canonical concept for AI interpretation, authority, evidence and response legitimacy.

Citation-output gap names the mismatch between what a cited source supports and what an AI answer actually says.

Canonical definition of proof of fidelity: the minimum evidence required to show that an AI output remains faithful to the canon rather than merely plausible.

Source hierarchy defines a canonical concept for AI interpretation, authority, evidence and response legitimacy.

A phantom URL is an unpublished, non-existent URL requested in a form that remains coherent with a site’s documentary architecture.

Hub for understanding AI citation readiness, retrievability, extractability, source hierarchy and interpretive governance.

Audit service for evaluating whether a site, corpus, page or entity is accessible, retrievable, extractable, citable and governable in AI-mediated answers.