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Paper · arXiv

Safe to Check, Unsafe to Use: Relinking at the Compression Boundary of LLM Agents

Summarization-based prompt compression is increasingly used by LLM agents to shorten long, distributed contexts, but it shifts the security boundary: filters inspect the pre-compression prompt while the backend acts on a newly generated compressed context. We identify relinking, a compression-boundary vulnerability where the compressor behaves as a confused deputy, summarizing distributed, locally benign fragments into a complete malicious instruction. Unlike prompt injection, relinking need not place an explicitly malicious payload in the source context. We show that relinking arises from summarization itself: attention makes separated fragments jointly available, pre-training makes comp...

AuthorsZesen Liu, Zihan Zhang, Dongdong She
Primary categorycs.CR
Published19 June 2026
Last updated at source19 June 2026
cs.CRcs.AI
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