Verified Misguidance: Measuring Structural Citation Failures in Search-Augmented LLMs

ArXi:2605.28565v1 Announce Type: cross Users of search-augmented LLMs rely on citations as evidence that responses are grounded in real sources, and rarely verify the cited pages themselves. Millions of queries per day now pass through these systems, making citation quality a silent determinant of whether users are informed or misled-yet existing benchmarks each address one facet in isolation, leaving the joint structure that determines citation trustworthiness unmeasured.