Update README.md

README.md

@@ -50,7 +50,7 @@ The available datasets are defined as follows:
 
 ## Dataset Structure
 
-The dataset is composed of `.pt` files to be loaded into PyTorch Geometric. Accompanied code will be provided after publication.
+The dataset is composed of `.pt` files to be loaded into PyTorch Geometric. Accompanied code can be found at [this GitHub repository](https://github.com/ngoctnq/malnet-features).
 
 ## Dataset Creation
 
@@ -85,4 +85,14 @@ Labels are derived from [MalNet](https://malnet.cs.gatech.edu/), a large-scale d
 Users should be made aware of the risks, biases, and limitations of the dataset. Models trained on this dataset should be evaluated in conjunction with dynamic analysis methods for deployment in critical security environments.
 
 ## Citation
-Will be added later.
+```latex
+@misc{tran2025mitigatingdistributionshiftgraphbased,
+      title={Mitigating Distribution Shift in Graph-Based Android Malware Classification via Function Metadata and LLM Embeddings}, 
+      author={Ngoc N. Tran and Anwar Said and Waseem Abbas and Tyler Derr and Xenofon D. Koutsoukos},
+      year={2025},
+      eprint={2508.06734},
+      archivePrefix={arXiv},
+      primaryClass={cs.CR},
+      url={https://arxiv.org/abs/2508.06734}, 
+}
+```