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News/The Geometry of Grokking: Norm Minimization on the Zero-Loss Manifold
arxiv
PublishedJune 2, 2026 at 4:00 AM

The Geometry of Grokking: Norm Minimization on the Zero-Loss Manifold

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arXiv:2511.01938v3 Announce Type: replace-cross Abstract: Grokking is a puzzling phenomenon in neural networks where full generalization occurs only after a substantial delay following the complete memorization of the training data. Previous research has linked this delayed generalization to represe

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