1{
 2  "device": "cuda",
 3  "seed": 559,
 4  "train_seconds": 2.990062952041626,
 5  "math_algebra_max_error": 1.6689300537109375e-06,
 6  "constructed_width": 48,
 7  "merged_width": 24,
 8  "width_reduction_factor": 2.0,
 9  "probe_max_abs_function_error": 1.430511474609375e-06,
10  "probe_rmse_function_error": 2.1097835656291863e-07,
11  "val_mse_redundant": 0.019573688507080078,
12  "val_mse_merged": 0.01957368478178978,
13  "val_mse_compact": 0.01957368291914463,
14  "jacobian_mean_norm_redundant": 1.3525495529174805,
15  "jacobian_mean_norm_merged": 1.3525495529174805,
16  "params_redundant": 147,
17  "params_merged": 75,
18  "note": "The redundant model is an exact coefficient-split reparameterization of a trained compact model; this isolates the claimed merger phenomenon rather than claiming spontaneous duplicate discovery."
19}