Signed but Steerable: Measuring and Closing the Text-Vector Integrity Gap in Offline Retrieval-Augmented Generation
Factual evidence
What the source reports
Researchers detail a security vulnerability in offline RAG where signed knowledge packs allow vector hijacking despite cryptographic checks.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 5 November 2026
- Collected by OneBench
- 6 Nov 2026, 02:02 UK
Stored source excerpt
arXiv:2611.06498v1 Announce Type: cross Abstract: Offline retrieval-augmented generation (RAG) on edge devices is updated through signed knowledge packs that carry text and precomputed embedding vectors.…
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OneBench interpretation
Institutional assessment
So what
Offline RAG deployments relying on pre-computed vectors can be manipulated unless embedding integrity is explicitly re-verified.
Do what
Review vector verification controls with the team responsible for edge or local model deployment architectures.