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docs/source/intro/reading-list.rst

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@@ -32,5 +32,5 @@ New developments
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- `Preconditioning and normalization in optimizing deep neural networks <https://github.com/ZQZCalin/trainit/blob/master/optimizers/muon/mango_report.pdf>`_
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- `Improving SOAP using iterative whitening and Muon <https://nikhilvyas.github.io/SOAP_Muon.pdf>`_
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- `On the concurrence of layer-wise preconditioning methods and provable feature learning <https://arxiv.org/abs/2502.01763>`_
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- `A note on the convergence of Muon and further improvements <https://arxiv.org/abs/2502.02900>`_
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- `A note on the convergence of Muon and further <https://arxiv.org/abs/2502.02900>`_
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- `Training deep learning models with norm-constrained LMOs <https://arxiv.org/abs/2502.07529>`_

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