Update README.md

README.md

@@ -14,8 +14,10 @@ library_name: transformers
 
 # pro_bvv_unfrozen: 200M baseline LM (non-frozen embeddings)
 
-This model is described in the paper [Growing Transformers: Modular Composition and Layer-wise Expansion on a Frozen Substrate](https://huggingface.co/papers/2507.07129).
-Code: https://github.com/Bochkov/BVV241
+This repository contains the model and associated resources from the papers
+[📚 Paper (Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen Visual Unicode Representations)](https://huggingface.co/papers/2507.04886) - 
+[📚 Paper (Growing Transformers: Modular Composition and Layer-wise Expansion on a Frozen Substrate)](https://huggingface.co/papers/2507.07129) - 
+[💻 Code](https://github.com/AVBochkov/Embeddings)
 
 **Description**
 
@@ -39,7 +41,6 @@ This is a baseline English language model (200M parameters) trained in the **cla
 
 
 ---
-
 ⚠️ Limitations
 Research use only.
 Trained on a small subset.
@@ -60,7 +61,6 @@ If you use this model or the underlying concepts in your research, please cite o
       primaryClass={cs.CL},
       url={https://arxiv.org/abs/2507.04886}, 
 }
-
 @misc{bochkov2025growingtransformersmodularcomposition,
       title={Growing Transformers: Modular Composition and Layer-wise Expansion on a Frozen Substrate}, 
       author={A. Bochkov},