BITS: Rethinking Fair and Comprehensive Evaluation for Irregular Time Series Forecasting.

arXiv:2609.33303v1 Announce Type: cross Abstract: Despite recent progress in irregular time series forecasting, the field still lacks a unified benchmark for fair and comprehensive evaluation. Existing evaluations are often conducted on a limited set of datase