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Evaluated against an oracle of 252 programs from the dafny-synthesis benchmark, ProofPulse provides a high-precision signal for specification weaknesses, particularly unnecessary preconditions and vacuous proofs.
This study studies how well large language models (LLMs) can adjudicate (classify as a real bug or a false alarm) static-analysis alerts and probes Juliet memorization and shows that o4-mini can often reconstruct sanitized test cases' original identities.
It is shown that task-equivalent implementations can differ substantially in verifiability and that implementation diversity helps find verification-friendly artifacts, and that implementation diversity helps find verification-friendly artifacts.
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