openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26
The Plasticity Vitrification Theorem: Continual-Learning Capacity as a Glass-Transitioning Renewable Stock, and the Golden-Rule Reset Duty Cycle
Justin Hart, Aristotle (Harmonic)
Paper supported by machine-verified Lean 4. Continually trained neural networks progressively lose the ability to learn new tasks – units go dormant, representational rank collapses, and the degradation is not undone by ordinary continued training or passive regularization, only…