CAV verifies LLM investigator evidence against tool conflicts
CAV-LLM with vote gate and nearest-neighbor check maintains 0.84-0.88 accuracy under heavy tool corruption versus naive investigator dropping to 0.08.
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CAV-LLM with vote gate and nearest-neighbor check maintains 0.84-0.88 accuracy under heavy tool corruption versus naive investigator dropping to 0.08.
Evidence-first multi-LLM framework builds auditable critical-infrastructure dependency graphs while preserving provenance and unresolved cases.
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