Update README.md

README.md

@@ -107,14 +107,16 @@ PaveBench supports four core tasks:
 
 It also includes an agent-augmented evaluation setting where vision-language models are combined with domain-specific tools for more reliable quantitative analysis. 
 
-## Usage
-
-Example usage with `datasets`:
-
-```python
-from datasets import load_dataset
-
-dataset = load_dataset("MML-Group/PaveBench")
+## Citation
+If you use this dataset in your work, please cite it as:
+```bibtex
+@article{li2026pavebench,
+  title={PaveBench: A Versatile Benchmark for Pavement Distress Perception and Interactive Vision-Language Analysis},
+  author={Li, Dexiang and Che, Zhenning and Zhang, Haijun and Zhou, Dongliang and Zhang, Zhao and Han, Yahong},
+  journal={arXiv preprint arXiv:2604.02804},
+  year={2026},
+  url={https://arxiv.org/abs/2604.02804}
+}
 ```
 
 ---