Update README.md

README.md

@@ -219,11 +219,35 @@ SAND is designed to support various Arabic text recognition tasks:
 - Research in Arabic natural language processing and computer vision
 - Developing font-adaptive OCR systems that generalize across typographic styles
 
+
+## Acknowledgments
+
+The authors thank Prince Sultan University for their support in developing this dataset.
+
+
 ## Citation
 
-If you use SAND in your research, please cite:
+If you use SARD in your work, please cite the following paper:
 
+**APA:**
 
-## Acknowledgments
+```
+Nacar, O., Al-Habashi, Y., Sibaee, S., Ammar, A., & Boulila, W. (2025). SARD: A Large-Scale Synthetic Arabic OCR Dataset for Book-Style Text Recognition. arXiv preprint arXiv:2505.24600.
+https://arxiv.org/abs/2505.24600
+
+```
 
-The authors thank Prince Sultan University for their support in developing this dataset.
+**BibTeX:**
+
+```
+@misc{nacar2025sard,
+      title={SARD: A Large-Scale Synthetic Arabic OCR Dataset for Book-Style Text Recognition}, 
+      author={Omer Nacar and Yasser Al-Habashi and Serry Sibaee and Adel Ammar and Wadii Boulila},
+      year={2025},
+      eprint={2505.24600},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2505.24600}, 
+}
+
+```