ID2Pattern: Pretraining Generalizable Identity Behavior Patterns for Transaction Risk Foundation Models
Paper recorded by Signals 4 on 2026-10-30 in cs.AI. Abstract reproduced from arXiv; link to the original below.
Published 2026-10-30 on arXiv · recorded by Signals 4 on 2026-11-02
Category: cs.AI · 人工智能 · first seen 2026-11-02
Abstract
Large-scale behavioral pretraining offers a promising route to generalizable representations in online payment systems. However, high-cardinality identity fields such as card, device, and account IDs, though rich in behavioral signals, remain underexploited. Their continually growing vocabularies and limited semantic meaning make existing vocabulary-based and semantics-based encodings ill-suited.
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Cite this page: ID2Pattern: Pretraining Generalizable Identity Behavior Patterns for Transaction Risk Foundation Models: the #58 most recent of 920 cs.AI papers we have recorded (as of 2026-10-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/id2pattern-pretraining-generalizable-identity-behavior-patterns-for-transaction-.html
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