1{
  2  "seed": 17,
  3  "targets": [
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  5    1.0,
  6    2.5,
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  9  "math_checks": {
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 22    "rho_ratio_observed": [
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 25      4.000000000000001,
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 28    "rho_ratio_predicted": [
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 35    "stale_error_linear_fit_intercept": 2.7755575615628914e-17,
 36    "max_conservation_error": 0.0
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 38  "rho_sweep": [
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 45      "corrected_loss_40": 3.9205502803976886,
 46      "stale_loss_40": 3.9205502803976886
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 61      "corrected_final_residual": 0.00016398618010693273,
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 71      "stale_final_residual": 7.649478976543017e-10,
 72      "corrected_loss_40": 6.103479757304299,
 73      "stale_loss_40": 6.09493254808615
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 75    {
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 77      "corrected_final_loss": 6.093749973052604,
 78      "stale_final_loss": 6.093749968972797,
 79      "corrected_final_residual": 8.636614203652117e-09,
 80      "stale_final_residual": 9.297245093531612e-09,
 81      "corrected_loss_40": 6.071758202959532,
 82      "stale_loss_40": 6.07665494478726
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 84  ],
 85  "mini_experiment": {
 86    "tree_correction": {
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 88      "final_residual": 3.2284687059763312e-09,
 89      "bytes": 7680
 90    },
 91    "fedavg": {
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 93      "final_residual": 0.0,
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 96    "stale_tree_rho_0.2": {
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 98      "final_residual": 7.649478976543017e-10,
 99      "bytes": 7680
100    }
101  },
102  "interpretation": "Checks test algebraic correction conservation and rho scaling; optimization comparison is a small scalar quadratic proxy, not a neural-network benchmark."
103}