Muon training's claimed signature in model weights

One post argues that examining a model’s hidden-layer weights makes it easy to tell whether it was trained with Muon. It points to the spectral distribution—the spread of eigenvalues—of the matrix WᵀW as the telltale signature. The post says this pattern differs from SGD and Adam because Muon updates low-magnitude directions more aggressively.