Эксперимент: Hysteretic Multiscale Sequence Router (#442)

{ "worked": true, "confidence": 9, "verdict": "Built a NumPy hysteretic router MVP with reproducible sweeps. Measured dwell times matched Delta_eta/L within 0.13%, chattering disappeared when the hysteresis width reached the score excursion threshold, and the slow-state RMS gain matched the analytic low-pass prediction within 0.14%. In the controlled regime toy, hysteretic routing reduced MSE from 0.004744 to 0.002220 and reduced route changes from 321 to 207, so the proposed mechanism manifested clearly.", "metrics": { "baseline": "Soft score interpolation: MSE 0.0047436553; 321 hard-score switch crossings", "idea": "Hysteretic router: MSE 0.0022200007; 207 switches; 53.2% lower MSE; dwell-bound ratios 0.9988-1.0009; low-pass gain relative error <=0.14%" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 verify_router.py", "files": [ "verify_router.py", "results.json", "README.md" ], "limitations": "The comparison is a deterministic NumPy toy rather than a trained GRU or matched-parameter four-regime predictor. It does not test backpropagation, learned slow routing, GPU behavior, long-horizon language modeling, or robustness across random seeds." }