A cycle-consistent neural model with pointer-generator achieves 90% cycle-verified soundness explaining verification certificates across six methods, beating multi-LLM baselines by 13.9 points while running offline and faster.
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Cycle-Consistent Neural Explanation of Formal Verification Certificates
A cycle-consistent neural model with pointer-generator achieves 90% cycle-verified soundness explaining verification certificates across six methods, beating multi-LLM baselines by 13.9 points while running offline and faster.