Improve model card with Chronos-2 paper, code links and `library_name`

This PR enhances the model card for `amazon/chronos-bolt-base` by:
- Adding explicit links to the primary paper ([Chronos-2: From Univariate to Universal Forecasting](https://huggingface.co/papers/2510.15821)), the GitHub repository ([https://github.com/amazon-science/chronos-forecasting](https://github.com/amazon-science/chronos-forecasting)), and the project page at the top of the README.
- Setting the `library_name` to `chronos-forecasting` in the metadata, which enables an automated code snippet for direct usage with the `chronos-forecasting` library.
- Updating the "Citation" section to include the BibTeX entry for the Chronos-2 paper, providing comprehensive citation information.

Please review and merge this PR if everything looks good.

README.md

@@ -2,12 +2,22 @@
 license: apache-2.0
 pipeline_tag: time-series-forecasting
 tags:
-  - time series
-  - forecasting
-  - pretrained models
-  - foundation models
-  - time series foundation models
-  - time-series
+- time series
+- forecasting
+- pretrained models
+- foundation models
+- time series foundation models
+- time-series
+library_name: chronos-forecasting
+---
+
+This model is part of the Chronos family, detailed in the following papers and resources:
+
+*   **Primary Paper**: [Chronos-2: From Univariate to Universal Forecasting](https://huggingface.co/papers/2510.15821)
+*   **Original Paper**: [Chronos: Learning the Language of Time Series](https://arxiv.org/abs/2403.07815)
+*   **Code Repository**: [https://github.com/amazon-science/chronos-forecasting](https://github.com/amazon-science/chronos-forecasting)
+*   **Project Page**: [https://github.com/amazon-science/chronos-forecasting](https://github.com/amazon-science/chronos-forecasting)
+
 ---
 
 # Chronos-Bolt⚡ (Base)
@@ -151,7 +161,7 @@ forecast = pipeline.predict(
 
 ## Citation
 
-If you find Chronos or Chronos-Bolt models useful for your research, please consider citing the associated [paper](https://arxiv.org/abs/2403.07815):
+If you find Chronos or Chronos-Bolt models useful for your research, please consider citing the associated papers:
 
 ```
 @article{ansari2024chronos,
@@ -162,8 +172,16 @@ If you find Chronos or Chronos-Bolt models useful for your research, please cons
     year={2024},
     url={https://openreview.net/forum?id=gerNCVqqtR}
 }
+
+@article{ansari2025chronos2,
+  title        = {Chronos-2: From Univariate to Universal Forecasting},
+  author       = {Abdul Fatir Ansari and Oleksandr Shchur and Jaris Küken and Andreas Auer and Boran Han and Pedro Mercado and Syama Sundar Rangapuram and Huibin Shen and Lorenzo Stella and Xiyuan Zhang and Mononito Goswami and Shubham Kapoor and Danielle C. Maddix and Pablo Guerron and Tony Hu and Junming Yin and Nick Erickson and Prateek Mutalik Desai and Hao Wang and Huzefa Rangwala and George Karypis and Yuyang Wang and Michael Bohlke-Schneider},
+  journal      = {arXiv preprint arXiv:2510.15821},
+  year         = {2025},
+  url          = {https://arxiv.org/abs/2510.15821}
+}
 ```
 
 ## License
 
-This project is licensed under the Apache-2.0 License.
+This project is licensed under the Apache-2.0 License.