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Generalized Residual Closure: General Learning Dynamics for Stability-Plasticity Compatibility
Learning must acquire new capabilities while preserving both prior responsibilities and the capacity to learn again. We introduce Generalized Residual Closure (GRC), a framework for learning as recursive closure of future-relevant discrepancies: closing a residual establishes the conditions for subs
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