A controlled, falsifiable testbed for SQNT-inspired recursive law learning under measurement invariants.
machine-learning scientific-computing neural-networks alignment locality representation-learning reproducibility ai-safety interpretability robustness anomaly-detection quantum-machine-learning model-repair matrix-models negative-results self-repair quantum-inspired falsification model-editing falsifiability
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Updated
Dec 27, 2025 - Python