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New verifier checks that offline RAG embeddings match their text
What is Signed but Steerable: Measuring and Closing the Text-Vector Integrity Gap in Offline Retrieval-Augmented Generation?
The paper introduces a tool that recomputes embedding vectors from the source text to confirm they actually correspond, closing the “text-vector integrity gap” in signed knowledge packs used for offline retrieval-augmented generation on edge devices. By verifying the alignment, developers can trust that a pack’s signature guarantees both provenance and content integrity.
Who it is for
Edge AI developers and anyone deploying offline RAG should use it to audit and secure their knowledge packs before rollout.