retrieval-augmented-generation

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   Text‑Vector Integrity Gap Enables Hijacking in Offline Retrieval‑Augmented Generation

   Research · since 5 Nov 2026

   The paper identifies a text‑vector integrity gap in offline retrieval‑augmented generation where signed knowledge packs can be manipulated to control query results. A verifier that tolerates vector deviations enables an attacker to hijack a share of queries.

   AI

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