arxiv
PublishedMay 12, 2026 at 4:00 AM
Distributional Spectral Diagnostics for Localizing Grokking Transitions
Publisher summary· verbatim
arXiv:2605.08237v1 Announce Type: new Abstract: In grokking, a model first fits the training data while test accuracy remains low, and only later begins to generalize. We ask whether this transition can be localized from observed training trajectories before the test accuracy rises, and formulate gr
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivIMEX Interaction-Based Model Explanation8harxivDialogueVPR: Towards Conversational Visual Place Recognition8harxivHuman AI Construction of Bayesian Networks for Operational Decision Support -- A Virtual Survey Approach8harxivOrchestrating Power Grid Studies with Multi-Agent AI and MCP Servers8hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗