Эксперимент: Dynamics-Matched Contractive Reservoir (#581)

{ "worked": true, "confidence": 8, "verdict": "Built a small IDM-inspired masked traffic reservoir and exact contraction sanity checks in experiment.py. The contraction boundary matched rho=gammaLambda across the sweep, and measured geometric log-slopes matched log(rho) to below 3e-17 absolute error; the near-one point was numerically neutral as expected. The mechanistic reservoir did not improve prediction in the fair masked-input comparison: MSE was 0.005219 versus 0.004857 for the random reservoir, so there is no evidence of an accuracy win in this toy setup.", "metrics": { "baseline": "Random contractive ESN masked traffic readout MSE 0.0048568324", "idea": "IDM/relative-state contractive reservoir masked traffic readout MSE 0.0052190781; relative change -7.46%. Contraction sweep observed ratios exactly matched predicted gammaLambda; decay-slope maximum absolute error was 2.8e-17." }, "how_to_run": "/home/maxwelhelp/main/bin/python3 experiment.py", "files": [ "experiment.py", "results.json", "run_output.txt" ], "limitations": "The verification uses deliberately constructed linear scaled-orthogonal systems, so it validates the stated contraction mathematics rather than establishing a difficult nonlinear global certificate. The traffic task is a tiny synthetic ring with one fixed seed, one reservoir width, one train/test split, no GRU or graph-neural-ODE comparison, no learned residual training, and no FLOP or runtime study." }