A cross-chain transaction classifier using motif statistics and event-log embeddings reaches 99.7% accuracy on known bridges and 94.8% accuracy on held-out bridges.
An overview of blockchain technology: Architecture, consensus, and future trends,
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XSema: A Novel Framework for Semantic Extraction of Cross-chain Transactions
A cross-chain transaction classifier using motif statistics and event-log embeddings reaches 99.7% accuracy on known bridges and 94.8% accuracy on held-out bridges.