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README.md

@@ -12,6 +12,8 @@ tags:
 
 # 🛡️ RealityGuardAI: Complete Deepfake Detection Architecture
 
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.22282866.svg)](https://doi.org/10.5281/zenodo.22282866)
+
 RealityGuardAI is an ultra-fast, highly optimized AI engine specifically designed to detect visual artifacts, behavioral anomalies, and audio-visual desynchronization commonly found in AI-generated Deepfake videos and images.
 
 This Model Repository specifically hosts the **Lightweight Artifact CNN** weights, which act as the core deep learning visual detection module of the larger RealityGuardAI pipeline.
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 ## ⚠️ Limitations & Bias
 - **Resolution Sensitivity:** The CNN is optimized for well-lit, clearly visible facial crops. Heavy compression artifacts (like 144p WhatsApp videos) may increase false-positive rates.
 - **Audio-Visual Dependency:** For full robustness, this visual model must be fused with our behavioral and lip-sync models found in the main GitHub repository.
+
+## 📚 Citation
+
+If you use this architecture or model in your research, please cite it using the following DOI:
+
+```bibtex
+@software{realityguardai_2026,
+  author       = {Satyam},
+  title        = {RealityGuardAI: A Multi-Signal and Explainable Deepfake Detection Engine},
+  year         = 2026,
+  publisher    = {Zenodo},
+  doi          = {10.5281/zenodo.22282866},
+  url          = {https://doi.org/10.5281/zenodo.22282866}
+}
+```