AI RESEARCH
Hallucination as Exploit: Evidence-Carrying Multimodal Agents
arXiv CS.AI
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ArXi:2605.19192v1 Announce Type: new Multimodal agents use screenshots, documents, and webpages to choose tool calls. When a false visual claim triggers a click, email, extraction, or transfer, hallucination becomes an authorization failure rather than an answer-quality error. We formalize this failure mode as hallucination-to-action conversion: an uned perceptual claim supplies the precondition that makes a privileged action appear permitted. We propose evidence-carrying multimodal agents (ECA), which treat free-form model text as inadmissible evidence.