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Phi-4-mini-flash-reasoning

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@@ -21,7 +21,7 @@ Phi-4-mini-flash-reasoning is a lightweight open model built upon synthetic data
 The model belongs to the Phi-4 model family and supports 64K token context length.
 📰 [Phi-4-mini-flash-reasoning Blog](https://azure.microsoft.com/en-us/blog/reasoning-reimagined-introducing-phi-4-mini-flash-reasoning/) <br>
-📖 [Phi-4-mini-flash-reasoning Paper](https://aka.ms/flashreasoning-paper) | [HF Paper](https://huggingface.co/papers/2507.06607) <br>
 📚 [Training Codebase](https://github.com/microsoft/ArchScale) <br>
 👩‍🍳 [Phi Cookbook](https://github.com/microsoft/PhiCookBook) <br>
 🏡 [Phi Portal](https://azure.microsoft.com/en-us/products/phi) <br>

 The model belongs to the Phi-4 model family and supports 64K token context length.
 📰 [Phi-4-mini-flash-reasoning Blog](https://azure.microsoft.com/en-us/blog/reasoning-reimagined-introducing-phi-4-mini-flash-reasoning/) <br>
+📖 [Phi-4-mini-flash-reasoning Paper](https://arxiv.org/abs/2507.06607) | [HF Paper](https://huggingface.co/papers/2507.06607) <br>
 📚 [Training Codebase](https://github.com/microsoft/ArchScale) <br>
 👩‍🍳 [Phi Cookbook](https://github.com/microsoft/PhiCookBook) <br>
 🏡 [Phi Portal](https://azure.microsoft.com/en-us/products/phi) <br>