ORACLE: Anticipating Scams from Partial Trajectories in Streaming App Usage

In three linesORACLE is an agentic framework for early scam anticipation from streaming app-usage trajectories. On a benchmark of 12 scam types (95 apps, 15 days average), the system uses a self-evolving context manager and on-policy self-distillation to detect early-stage signals from partial observations.

Summary generated by Claude — human-verified