This article details an experiment testing a "third predicate" for verifying AI agent claims, moving beyond simple lexical matching. The test involved five scenarios, three evaluators, and a focus on write-invalidation for cache entries. The core proposition is that deviations not explicitly surfaced in text are invisible to word-space checks (like regex or LLMs reading evidence) and can only be caught by an argument-space check that executes the code and observes the actual side effect, making it immune to synonym-based evasion. AI
IMPACT Introduces a new method for verifying AI agent behavior that is more robust against evasive language.
RANK_REASON The item describes a novel research proposition and experimental testing of a new verification method for AI agent claims. [lever_c_demoted from research: ic=1 ai=1.0]
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