Link model card to arXiv paper

README.md

@@ -1,10 +1,10 @@
 ---
-license: apache-2.0
 base_model: Qwen/Qwen3-VL-4B-Instruct
-library_name: peft
-pipeline_tag: image-text-to-text
 language:
 - en
+library_name: peft
+license: apache-2.0
+pipeline_tag: image-text-to-text
 tags:
 - remote-sensing
 - temporal-understanding
@@ -18,8 +18,9 @@ tags:
 
 **GeoChrono** is a multimodal large language model (MLLM) tailored for long-term remote sensing interpretation. Given an image sequence spanning multiple years and a text prompt, GeoChrono generates a response through spatio-temporal reasoning — tracing, memorizing, and reasoning about the long-term evolution of geographic entities.
 
-GeoChrono is introduced in the paper *GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing* (**accepted at ACM MM 2026** 🔥), together with the **ChronoBench** benchmark and the **ChronoInstruct** instruction-tuning dataset.
+GeoChrono is introduced in the paper [GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing](https://huggingface.co/papers/2607.15768) (**accepted at ACM MM 2026** 🔥), together with the **ChronoBench** benchmark and the **ChronoInstruct** instruction-tuning dataset.
 
+- 📄 **Paper**: https://arxiv.org/abs/2607.15768
 - 📦 **Code**: https://github.com/IntelliSensing/GeoChrono
 - 📊 **Data (ChronoBench & ChronoInstruct)**: https://huggingface.co/datasets/Davidup1/GeoChrono-Data
 
@@ -76,8 +77,16 @@ This model is released under the **Apache License 2.0**. The base model Qwen3-VL
 
 ## Citation
 
-If you find GeoChrono useful, please cite our paper *GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing*. The BibTeX entry will be provided here once the arXiv preprint is released — stay tuned.
+If you find GeoChrono useful, please cite our paper:
+```bibtex
+@article{geochrono2026,
+  title={GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing},
+  author={Yujie Li and others},
+  journal={arXiv preprint arXiv:2607.15768},
+  year={2026}
+}
+```
 
 ## Contact
 
-For questions or feedback, please open a discussion or contact **liyujie2003@bupt.edu.cn**.
+For questions or feedback, please open a discussion or contact **liyujie2003@bupt.edu.cn**.