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#artificial intelligence Preprint Oct 2026

The Attribution Blind Spot: Layerwise Trajectory Diagnostics for Source Reliance in Retrieval-Augmented Language Models

A retrieval-augmented model can match a document without relying on it. Controlled knowledge conflicts make source choice observable and let us ask a second question that prediction alone cannot answer: which internal-state properties define useful intervention directions? We study paired hidden-state changes with Late...

Zhen-Qiang Yu, Wen-Peng Xing, Yun-Zhao Wei et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Readable Before Actionable: Causal Tracing of Indirect Prompt Injection

Indirect prompt injection causes LLM agents to follow commands embedded in external data. A probe may distinguish instructions from data without identifying a state edit that changes the next action. We study this gap through counterfactual role probes, component-wise activation patching, and separate interventions on...

Zhen-Qiang Yu, Wen-Peng Xing, Xing-Xing Yang et al. · 0 citations

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