add link and citation

README.md

@@ -24,7 +24,22 @@ configs:
 
 ---
 
-# VIOLIN: Visual Instruction-based Color Evaluation
+# <img src="assets/logo.png" height="40" align="center"> VIOLIN: Visual Instruction-based Color Evaluation
+
+
+
+<p align="center">
+  <a href="https://github.com/AI-Obedience/Violin">
+    <img src="https://img.shields.io/badge/GitHub-Code-blue?logo=github" alt="GitHub">
+  </a>
+  <a href="https://arxiv.org/abs/2603.00166">
+    <img src="https://img.shields.io/badge/arXiv-2603.00166-B31B1B.svg" alt="arXiv">
+  </a>
+  <a href="https://ai-obedience.github.io">
+    <img src="https://img.shields.io/badge/Project-Page-green" alt="Project Page">
+  </a>
+</p>
+
 
 **VIOLIN** (VIsual Obedience Level-4 EvaluatIoN) is a diagnostic benchmark designed to assess the **Level-4 Instructional Obedience** of text-to-image generative models. 
 
@@ -65,3 +80,17 @@ from datasets import load_dataset
 dataset = load_dataset("Perkzi/VIOLIN", split="test")
 print(dataset[0])
 ```
+
+
+## 📜 Citation
+
+If you find this dataset or our research helpful, please consider citing our paper:
+
+```bibtex
+@article{li2026exploring,
+  title={Exploring the AI Obedience: Why is Generating a Pure Color Image Harder than CyberPunk?},
+  author={Li, Hongyu and Liu, Kuan and Chen, Yuan and Hu, Juntao and Lu, Huimin and Chen, Guanjie and Liu, Xue and Lu, Guangming and Huang, Hong},
+  journal={arXiv preprint arXiv:2603.00166},
+  year={2026}
+}
+```