SEER: Self-Evolving Event Reasoning and Retrieval for Time Series Forecasting.

arXiv:2610.04109v1 Announce Type: cross Abstract: Real-world time series are frequently driven by exogenous events and structural shifts, rendering conventional forecasting based solely on historical numerical observations insufficient. While language models c