docs/references.md

References and License Notes

Time-Anchor is released under Apache-2.0. The project also records attribution for Chronos-informed methods and terminology in NOTICE and CITATION.cff.

Chronos

The forecasting/tokenization design is informed by:

Ansari et al. "Chronos: Learning the Language of Time Series." Transactions on Machine Learning Research, 2024. https://openreview.net/forum?id=gerNCVqqtR

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

Generalized Attention Flow

The variable/time impact attribution implements:

Azarkhalili and Libbrecht. "Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow." 2025. https://arxiv.org/abs/2502.15765

The information tensors (AF, GF, AGF), the layered flow network of Algorithms 1 and 2, and the barrier-method maximum flow formulation follow the paper; token attributions are the input-node outflows of the optimal regularized flow.