CastFSR: A Fast--Slow--Reflect Agentic Reasoning Framework for Context-Aware Time Series Forecasting
CastFSR is proposed, an agentic framework that formulates context-aware forecasting as a Fast--Slow--Reflect workflow that supports both training-free inference with off-the-shelf LLMs and efficient deployment through a two-stage SFT and reinforcement learning strategy that transfers its orchestration capability to com...