{
  "credit": "Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved: solved-policy replica, Gaussian filter, fee rule, tables, and arb/retail tell.",
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  "solidity_notes": {
    "ln_or_log1p_features": [
      {
        "index": 0,
        "reason": "ln of previous spot; filter mean is in log price"
      },
      {
        "index": 3,
        "reason": "ln of current spot"
      },
      {
        "index": 6,
        "reason": "ln of spot ratio and log1p of absolute move"
      },
      {
        "index": 8,
        "reason": "log1p of router age"
      }
    ],
    "exp_features": [],
    "other_math": [
      {
        "index": 1,
        "reason": "sqrt of filter variance"
      }
    ]
  },
  "reference_zb64": "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",
  "seeds_used": {
    "single_feature_screen": "64000..64127",
    "training_even_generations": "64512..65023",
    "training_odd_generations": "64000..64511",
    "choose": "64000..65023",
    "holdout_once": "10000..12047",
    "seed_reuse_note": "The screen is inside the first training block; the holdout was evaluated once after generation 100."
  },
  "not_done": [
    "No CPython oracle comparison of the trained head or Solidity/engine gas and size check was run; this item measures the fast replica only."
  ]
}