I3DP: Neuro-Symbolic Inductive Invariant Inference for Distributed Protocols
Weining Cao, Guangyuan Wu, Yuan Yao, Hengfeng Wei, Taolue Chen, Xiaoxing Ma
2026年份
摘要
Distributed protocols are notoriously difficult to verify correctly. Proving safety typically requires inductive invariants that both imply the desired property and are preserved by every protocol transition; yet inferring such invariants remains a major bottleneck: existing approaches either restrict the protocol models to a decidable fragment of first-order logic or demand expert-crafted templates.
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