Why Do Time Series Models Need Long Context Windows?

ArXi:2606.01999v1 Announce Type: cross Modern deep learning models for forecasting groups of time series rely on increasingly longer observation windows. However, the benefit of increasing the window size is often simply attributed to capturing long-range dependencies, and broader discussion on how global forecasting models leverage input observations has been limited.