Update README.md

README.md

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 The **AntiDeepfake** project provides a series of powerful foundation models post-trained for **deepfake detection**. The AntiDeepfake model can be used for feature extraction for deepfake detection in a zero-shot manner, or it may be further fine-tuned and optimized for a specific database or deepfake-related task.
 
+For technical details and analysis, please refer to our paper [Post-training for Deepfake Speech Detection](https://arxiv.org/abs/2506.21090).
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 # 🤖 Available Models
 
 All models are released on Hugging Face 🤗 with two variants:
@@ -35,6 +38,7 @@ All models are released on Hugging Face 🤗 with two variants:
 # 🛠️ Training Code & Repository
 Explore training scripts, config files, and evaluation utilities in our GitHub repository:🔗 [AntiDeepfake GitHub Repository](https://github.com/nii-yamagishilab/AntiDeepfake)
 
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 # 🚀 **Model Spotlight: Wav2Vec2-Large-AntiDeepfake**
 
 # 🌟 **Key Features**