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 The MNIST-1D Dataset
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-[Blog post](https://greydanus.github.io/2020/12/01/scaling-down/) | [Paper](https://arxiv.org/abs/2011.14439v4) | [GitHub](https://github.com/greydanus/mnist1d)
+[Blog post](https://greydanus.github.io/2020/12/01/scaling-down/) | [Paper](https://arxiv.org/abs/2011.14439) | [GitHub](https://github.com/greydanus/mnist1d)
 
 
 Most machine learning models get around the same ~99% test accuracy on MNIST. The dataset in this repo, MNIST-1D, is 20x smaller and does a better job of separating between models with/without nonlinearity and models with/without spatial inductive biases.