Add paper link

README.md

@@ -65,14 +65,14 @@ task_ids:
 - **Homepage:** [DiffusionDB homepage](https://poloclub.github.io/diffusiondb)
 - **Repository:** [DiffusionDB repository](https://github.com/poloclub/diffusiondb)
 - **Distribution:** [DiffusionDB Hugging Face Dataset](https://huggingface.co/datasets/poloclub/diffusiondb)
-- **Paper:** [DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models](https://poloclub.github.io/diffusiondb)
+- **Paper:** [DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models](https://arxiv.org/abs/2210.14896)
 - **Point of Contact:** [Jay Wang](mailto:jayw@gatech.edu)
 
 ### Dataset Summary
 
 DiffusionDB is the first  large-scale text-to-image prompt dataset. It contains 2 million images generated by Stable Diffusion using prompts and hyperparameters specified by real users.
 
-DiffusionDB is publicly available at [https://huggingface.co/datasets/poloclub/diffusiondb](https://huggingface.co/datasets/poloclub/diffusiondb).
+DiffusionDB is publicly available at [Hugging Face Dataset](https://huggingface.co/datasets/poloclub/diffusiondb).
 
 ### Supported Tasks and Leaderboards
 
@@ -208,6 +208,15 @@ The Python code in this repository is available under the [MIT License](https://
 
 ### Citation Information
 
+```bibtex
+@article{wangDiffusionDBLargescalePrompt2022,
+  title = {{{DiffusionDB}}: {{A}} Large-Scale Prompt Gallery Dataset for Text-to-Image Generative Models},
+  author = {Wang, Zijie J. and Montoya, Evan and Munechika, David and Yang, Haoyang and Hoover, Benjamin and Chau, Duen Horng},
+  year = {2022},
+  journal = {arXiv:2210.14896 [cs]},
+  url = {https://arxiv.org/abs/2210.14896}
+}
+```
 
 ### Contributions