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ResearchSeptember 12, 2026

Quantifying the Memorization-to-Generalization Transition: Scaling Laws and Phase Structure in Grokking

arXiv:2609.10657v1 Announce Type: new Abstract: Neural networks trained past memorization frequently undergo a delayed transition to generalization, a phenomenon known as grokking. Despite theoretical progress on \emph{why} this transition occurs, the quantitative structure of…

Anish Kataria·arXiv — cs.AI
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Key Takeaways
  • 01.arXiv:2609.10657v1 Announce Type: new Abstract: Neural networks trained past memorization frequently undergo a delayed transition to generalization, a phenomenon known as grokking
  • 02.Despite theoretical progress on \emph{why} this transition occurs, the quantitative structure of…

This material is provided as an extended analytical summary.

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