Link the arXiv paper (2610.16784) and add the citation

README.md

@@ -38,6 +38,8 @@ configs:
 VisSlideBench evaluates single-slide image generation and editing. It has 1,527
 manually screened cases in four tracks that share one text-and-image interface.
 
+[📄 Paper](https://arxiv.org/abs/2610.16784) | [💻 Code](https://github.com/VectorSpaceLab/InfoVis) | [🤗 Model](https://huggingface.co/InfoVis/InfoVis) | [📦 Training data](https://huggingface.co/datasets/InfoVis/Data)
+
 | Track | Config | Visual input | Real | Synthetic | Total |
 |---|---|---|---:|---:|---:|
 | Text-to-slide | `t2i` | none | 167 | 150 | 317 |
@@ -120,8 +122,10 @@ discussion on this repository.
 ## Citation
 
 ```bibtex
-@misc{visslidebench,
-  title  = {InfoVis: Unified Slide Image Generation and Editing},
-  year   = {2026}
+@article{wang2026infovis,
+  title={InfoVis: Unified Slide Image Generation and Editing},
+  author={Jiahao Wang and Xiyan Jiang and Chenyuan Wu and Haoqiang Zhang and Xin Luo and Yueze Wang and Defu Lian and Bo Zhang and Jiajun Zhang and Zheng Liu},
+  journal={arXiv preprint arXiv:2610.16784},
+  year={2026}
 }
 ```