Link paper and GitHub repository to dataset card

README.md

@@ -1,19 +1,23 @@
 ---
 license: apache-2.0
 task_categories:
-  - graph-ml
+- graph-ml
 tags:
-  - biology
-  - protein
-  - molecule
-  - dna
-  - rna
-  - pretraining
+- biology
+- protein
+- molecule
+- dna
+- rna
+- pretraining
 ---
 
 # Cuttlefish-Encoder-Data
 
-Encoder pretraining dataset for [Cuttlefish-Encoder](https://huggingface.co/zihaojing/Cuttlefish-Encoder). Contains all-atom structural graphs for molecules, proteins, DNA, and RNA in a unified parquet format.
+This repository contains the encoder pretraining dataset for **Cuttlefish**, a unified all-atom LLM designed for structure-grounded reasoning. It consists of all-atom structural graphs for molecules, proteins, DNA, and RNA in a unified parquet format, used for masked-reconstruction pretraining of the graph encoder.
+
+- **Paper:** [Scaling-Aware Adapter for Structure-Grounded LLM Reasoning](https://huggingface.co/papers/2602.02780)
+- **GitHub Repository:** [zihao-jing/Cuttlefish](https://github.com/zihao-jing/Cuttlefish)
+- **Encoder Model:** [zihaojing/Cuttlefish-Encoder](https://huggingface.co/zihaojing/Cuttlefish-Encoder)
 
 ## Dataset structure
 
@@ -48,3 +52,15 @@ ds = load_dataset("zihaojing/Cuttlefish-Encoder-Data")
 | Cuttlefish LLM | [zihaojing/Cuttlefish](https://huggingface.co/zihaojing/Cuttlefish) |
 | Cuttlefish-Encoder | [zihaojing/Cuttlefish-Encoder](https://huggingface.co/zihaojing/Cuttlefish-Encoder) |
 | SFT instruction data | [zihaojing/Cuttlefish-SFT-Data](https://huggingface.co/datasets/zihaojing/Cuttlefish-SFT-Data) |
+
+## Citation
+
+```bibtex
+@article{jing2026cuttlefish,
+  title     = {Cuttlefish: Scaling-Aware Adapter for Structure-Grounded LLM Reasoning},
+  author    = {Jing, Zihao and Zeng, Qiuhao and Fang, Ruiyi and Li, Yan Yi and Sun, Yan and Wang, Boyu and Hu, Pingzhao},
+  booktitle = {Proceedings of the 43rd International Conference on Machine Learning (ICML)},
+  year      = {2026},
+  url       = {https://arxiv.org/abs/2602.02780}
+}
+```