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README.md

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 # SecureBERT 2.0 Base Model
 
-SecureBERT 2.0 is a **domain-specific transformer model** built on top of ModernBERT, optimized for cybersecurity tasks. It produces contextualized embeddings for technical text and code, enabling applications such as masked language modeling, semantic search, named entity recognition, vulnerability detection, and code analysis.
+[SecureBERT 2.0](https://arxiv.org/pdf/2510.00240) is a **domain-specific transformer model** built on top of ModernBERT, optimized for cybersecurity tasks. It produces contextualized embeddings for technical text and code, enabling applications such as masked language modeling, semantic search, named entity recognition, vulnerability detection, and code analysis.
 
 Cybersecurity data is highly technical, heterogeneous, and rapidly evolving. SecureBERT 2.0 leverages domain-specific pretraining to capture complex, jargon-heavy, and context-dependent language. It integrates natural language text from threat reports, blogs, technical documentation, and source code, providing superior representations for tasks requiring deep understanding of both language and code.