# 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.