AI RESEARCH
ORACLE: Anticipating Scams from Partial Trajectories in Streaming App Usage
arXiv CS.LG
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ArXi:2605.16363v1 Announce Type: new Smartscams are increasingly prevalent and typically manifest as multi-stage, cross-application processes with gradually emerging intent. Effective intervention thus requires anticipating scams before the intent becomes explicit. This is inherently challenging, as decisions must rely on partial trajectories with temporally distributed evidence. In this paper, we propose \textbf{ORACLE} Online Reasoning for Anticipating Cross-temporal Latent thrEats, the first agentic framework for early scam anticipation from \textit{streaming app-usage} trajectories.