Graph spectral analysis (Fiedler value + Scheffer CSD indicators) predicts grokking 21k steps before loss function – five reproducible experiments [R]
I've been applying the Fiedler value (second-smallest eigenvalue of the weight graph Laplacian) combined with Scheffer critical slowing down indicators to monitor neural network topology during training. Five experiments, all reproducible on CPU in…