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Similarity Gates Approve Reversals: A Validity Audit of Embedding-Cosine Thresholds in Agent Systems

Source
arxiv.org
Author
Scott E. Frias
Date

Context

A high text-similarity score can conceal a reversed instruction. This audit reports that one deployed meaning-drift check missed all 56 meaning-breaking edits tested against it. The problem is that changing an instruction's meaning may require very little wording change, while preserving meaning through a paraphrase may change many words. Research abstract.

The findings challenge treating a fixed similarity threshold as evidence of equivalent meaning. The author also reports that two tested configurations distinguished reversals from paraphrases when wording overlap was matched, showing why an must separate those two properties.

Terms in this piece · Glossary
  • embedding — A list of numbers representing a piece of text's meaning, so that similar meanings end up numerically close and can be searched.
  • eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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