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add paper link

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@@ -25,7 +25,7 @@ We train VidTok on a large-scale video dataset and evaluation reveal that VidTok
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  Resources and technical documentation:
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  + [GitHub](https://github.com/microsoft/VidTok)
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- + [arXiv](https://arxiv.org/abs/)
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  ## Model Performance
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  ### Training Procedure
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- Please refer to the [paper]() and [code](https://github.com/microsoft/VidTok) for detailed training instructions.
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  ## Evaluation
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- Please refer to the [paper]() and [code](https://github.com/microsoft/VidTok) for detailed evaluation instructions.
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  ## Intended Uses
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  Resources and technical documentation:
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  + [GitHub](https://github.com/microsoft/VidTok)
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+ + [arXiv](https://arxiv.org/pdf/2412.13061)
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  ## Model Performance
 
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  ### Training Procedure
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+ Please refer to the [paper](https://arxiv.org/pdf/2412.13061) and [code](https://github.com/microsoft/VidTok) for detailed training instructions.
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  ## Evaluation
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+ Please refer to the [paper](https://arxiv.org/pdf/2412.13061) and [code](https://github.com/microsoft/VidTok) for detailed evaluation instructions.
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  ## Intended Uses
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