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SignMuon is a 1-bit, matrix-aware optimizer for distributed training that combines signSGD's majority-vote sign aggregation with Muon's polar-step framework, achieving 32x bandwidth reduction over float32 while maintaining strong convergence and performance on benchmarks like CIFAR-10/ResNet-50 and nanoGPT.