Update README.md

README.md

@@ -94,18 +94,27 @@ npm run dev
 
 ## 📝 License
 
-
+MIT LICENSE
 
 ## 👨‍💻 Author
 
 Arghadip Biswas and Sayan Das
 
-## 🙏 Acknowledgments
+## 📊 Dataset
 
 - Dataset: https://github.com/arghadip2002/SAETCN-and-SASNET-Architectures/blob/main/dataLinks
 - Based on SAETCN architecture
 
 
+## 📜 Citation & Academic Acknowledgment
+
+This repository provides the **NeuroGuard Web Application**, which is the deployment of the novel **SAETCN** and **SAS-Net** architectures detailed in our research paper.
+
+If you use this deployed software or its code in your academic work, please cite the underlying paper to acknowledge the methodology and results:
+
+### ✍️ Preferred Citation (BibTeX)
+
+```bibtex
 @article{das2025novel,
   title={Novel Deep Learning Architectures for Classification and Segmentation of Brain Tumors from MRI Images},
   author={Das, Sayan and Biswas, Arghadip},
@@ -114,3 +123,11 @@ Arghadip Biswas and Sayan Das
   archivePrefix={arXiv},
   primaryClass={cs.CV}
 }
+
+```
+
+#### 🔗 Paper Link
+
+The full paper is publicly available on the arXiv preprint server: [arXiv:2512.06531](https://www.arxiv.org/abs/2512.06531)
+
+###### ⭐ Note: Citing the paper is essential for the advancement of open science and ensures proper credit for the research that powers this application. Thank you for your support!