Toto 2.0: Time Series Forecasting Enters the Scaling Era 事件

Toto 2.0: Time Series Forecasting Enters the Scaling Era arXiv:2605.20119v2 Announce Type: replace-cross Abstract: We show that time series foundation models scale: a single training recipe produces reliable forecast-quality improvements from 4M to 2.5B parameters. We release Toto 2.0, a family of five open-weights forecasting models trained under this recipe. The Toto 2.0 family sets a new state of the art on three forecasting benchmarks: BOOM, our observability benchmark; GIFT-Eval, the stand