Update README.md

README.md

@@ -47,7 +47,6 @@ This dataset contains a longitudinal benchmark for Android malware detection des
 ### Dataset Description
 
 - **Curated by:** IQSeC Lab, The University of Texas at El Paso
-- **Funded by:** [More Information Needed]
 - **Shared by:** IQSeC Lab
 - **Language(s):** Not applicable
 - **License:** MIT
@@ -60,7 +59,7 @@ The dataset was created using ~1M APKs from [AndroZoo](https://androzoo.uni.lu/)
 
 - **Repository:** https://huggingface.co/datasets/IQSeC-Lab/LAMDA
 - **Project Website:** https://iqsec-lab.github.io/LAMDA/
-- **Paper (NeurIPS 2025 Submission):** [Pending release]
+- **Paper:** https://arxiv.org/abs/2505.18551
 
 ## Uses
 
@@ -161,9 +160,12 @@ No PII or private user data is included. APKs are anonymized binaries.
 
 **BibTeX:**
 ```bibtex
-@article{LAMDA2025,
+@article{lamda,
+  title     = {{LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis}},
   author    = {Md Ahsanul Haque and Ismail Hossain and Md Mahmuduzzaman Kamol and Md Jahangir Alam and Suresh Kumar Amalapuram and Sajedul Talukder and Mohammad Saidur Rahman},
-  title     = {LAMDA: A Longitudinal Android Malware Dataset for Analyzing Concept Drift},
-  journal   = {NeurIPS},
   year      = {2025},
+  eprint    = {2505.18551},
+  archivePrefix = {arXiv},
+  primaryClass  = {cs.CR},
+  url       = {https://arxiv.org/abs/2505.18551}
 }