Update README.md

README.md

@@ -6,7 +6,7 @@ license: cc-by-nc-4.0
 This dataset consists of RGBD–complex hologram pairs designed for training machine learning–based computer-generated holography (ML-CGH) models.  
 It can be used for tasks such as hologram generation, hologram upscaling, and related applications.  
 
-The holograms were generated using a layer-based hologram generation method[[arxiv]()].  
+The holograms were generated using a layer-based hologram generation method[[arxiv](https://doi.org/10.48550/arXiv.2512.21040)].  
 
 Note that this dataset is licensed under the **Creative Commons Attribution 4.0 International License Non Commercial (CC BY-NC 4.0)**.
 
@@ -94,4 +94,18 @@ For inquiries, please contact the corresponding author: **bluekdct@gmail.com**
 ## Acknowledgements
 This work was supported by the National Research Foundation of Korea (NRF) through the Ministry of Education's Basic Science Research Program (Grant 2021R1I1A3048263, 50\%) and by the Institute of Information and Communications Technology Planning and Evaluation (IITP) grant funded by the Korea Government (MSIT) (Grant 2019-0-00001, 50\%).
 
+---
+
+## Citation
+```
+@misc{lee2025largedepthrangelayerbasedhologramdataset,
+      title={A Large-Depth-Range Layer-Based Hologram Dataset for Machine Learning-Based 3D Computer-Generated Holography}, 
+      author={Jaehong Lee and You Chan No and YoungWoo Kim and Duksu Kim},
+      year={2025},
+      eprint={2512.21040},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2512.21040}, 
+}
+```
 ---