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XSplicer is presented, an evidence-driven system for reconstructing cross-chain transaction correspondence (xTCR) without privileged access to bridge backends, and public protocol invariants can support practical cross-chain forensics without privileged bridge mappings.
LLMs can bridge the gap between heterogeneous blockchain data to detect fraud with significantly improved accuracy, even in zero-shot cross-chain scenarios.