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News/Information as Structural Alignment: A Dynamical Theory of Continual Learning
arxiv
PublishedApril 10, 2026 at 4:00 AM
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Information as Structural Alignment: A Dynamical Theory of Continual Learning

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arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2604.07108v1 Announce Type: cross Abstract: Catastrophic forgetting is not an engineering failure. It is a mathematical consequence of storing knowledge as global parameter superposition. Existing methods, such as regularization, replay, and frozen subnetworks, add external mechanisms to a sha

Models mentioned
01
  • 01google logo
    vit-base-patch16-224-in21k
    google/vit-base-patch16-224-in21k
Related
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  • arxiv11d
    Efficient Long-Horizon Learning for Learned Optimization
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    Adapting in the Dark: Efficient and Stable Test-Time Adaptation for Black-Box Models
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Mentioned models
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  • 01
    Stockfish
  • 02
    vit-base-patch16-224-in21k
    google/vit-base-patch16-224-in21k
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arxiv
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Tags
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#continual-learning#catastrophic-forgetting#machine-learning#artificial-intelligence

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Mentioned models
02
  • 01
    Stockfish
  • 02
    vit-base-patch16-224-in21k
    google/vit-base-patch16-224-in21k
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#continual-learning#catastrophic-forgetting#machine-learning#artificial-intelligence

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