Update README.md

README.md

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 This model is a continual pre-training of [Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on a mix of mathematical datasets from [SwallowMath](https://huggingface.co/datasets/tokyotech-llm/swallow-math) and multilingual text datasets.
 The model was trained to evaluate the performance of mathematical reasoning and problem-solving as part of the SwallowMath ablation experiments (experiment 2).
 
-It was trained on **50 billion tokens** using a mix of 4.8% SwallowMath (finemath-4+ rewritten) , 13.1% Code, and 82% multilingual text, following the setup described in the [SwallowMath paper](https://arxiv.org/abs/XXXX.XXXXX).
+It was trained on **50 billion tokens** using a mix of 4.8% SwallowMath (finemath-4+ rewritten) , 13.1% Code, and 82% multilingual text, following the setup described in the [SwallowMath paper](https://arxiv.org/abs/2505.02881).
 Training was performed using [Megatron-LM](https://github.com/NVIDIA/Megatron-LM/tree/core_r0.9.0).
 
 ## Use