The study decodes multi-chain transactions in U.S. Treasury RWAs and introduces a curvature-aware representation learning model that infers address roles such as institutional, retail, or bot with better performance than baselines.
Characteristic functions on graphs: Birds of a feather, from statistical descriptors to parametric models
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Decoding RWA Tokenized U.S. Treasuries: Functional Dissection and Address Role Inference
The study decodes multi-chain transactions in U.S. Treasury RWAs and introduces a curvature-aware representation learning model that infers address roles such as institutional, retail, or bot with better performance than baselines.