Recursive law learning under measurement constraints. A falsifiable SQNT-inspired testbed for autodidactic rules: internalizing structure under measurement invariants and limited observability.
qml locality rnn curvature dynamical-systems invariants representation-learning reproducibility jacobian hessian interpretability spectral-methods matrix-models quantum-ml quantum-inspired model-editing recursive-learning falsifiability alignment-research functional-recovery
-
Updated
Jan 19, 2026 - Python