Time-Anchor
Copyright 2026 Time-Anchor contributors

This product includes software developed from, adapted from, or inspired by
Apache-2.0-licensed time-series forecasting code originally carrying the
following notice:

  Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.

The Time-Anchor forecasting design, including time-series tokenization concepts,
is informed by:

  Abdul Fatir Ansari, Lorenzo Stella, Caner Turkmen, Xiyuan Zhang,
  Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram,
  Sebastian Pineda Arango, Shubham Kapoor, Jasper Zschiegner,
  Danielle C. Maddix, Hao Wang, Michael W. Mahoney, Kari Torkkola,
  Andrew Gordon Wilson, Michael Bohlke-Schneider, and Yuyang Wang.
  "Chronos: Learning the Language of Time Series."
  Transactions on Machine Learning Research, 2024.
  https://openreview.net/forum?id=gerNCVqqtR

The Chronos paper is available under CC BY 4.0. The official Chronos
forecasting implementation is licensed under Apache-2.0.
