{
  "key": "d5-s23-cancel-jump-charge",
  "idea": "After a one-tick rival retreat, temporarily increase the jump-loss charge in sizing on that side; keep RC cancellation.",
  "approach": "RC plus a wrapper timer and a minimal hook in nested AB sizing. On spreads 2/3, multiply only that side's jump loss by k from the retreat callback through the next M callbacks; repeat retreats reset expiry. RC still cancels/suppresses the retreat callback. Diffusion loss, gain, terminal-step formula and other logic are unchanged. Select highest target-spread paired tuning mean among four variants; freeze before one holdout screen. No promotion or finalist seeds.",
  "tried": [
    {
      "name": "m5_k1.5",
      "code_sha256": "11ecbaaf72b123f6f5acdf9aae676bd7aadcc547dd17e90ed7335fff576b6722",
      "mean_diff": -0.07363190153679093,
      "se": 0.14817275292237742
    },
    {
      "name": "m5_k2.0",
      "code_sha256": "6c137aab58861d3d9bfc44745d26749762264ca806ab2b1c41b1127cee419e7c",
      "mean_diff": 0.0616717077518894,
      "se": 0.13046252814391301
    },
    {
      "name": "m10_k1.5",
      "code_sha256": "32fa19d10e03fa3f0b962857f43ad8c4672ee101312ec8357ab80291fc64128b",
      "mean_diff": 0.09645938800660459,
      "se": 0.2051831196252154
    },
    {
      "name": "m10_k2.0",
      "code_sha256": "956064885184cfa7d432d108fb870ef0d62cdd3d303152c1bf357720c0f119ff",
      "mean_diff": 0.08664726900000001,
      "se": 0.26621371016478507
    }
  ],
  "next": "Retain RC; do not promote this screen. The holdout does not establish a positive gain exceeding two standard errors.",
  "code": "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",
  "code_sha256": "32fa19d10e03fa3f0b962857f43ad8c4672ee101312ec8357ab80291fc64128b",
  "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f",
  "target_spreads": [
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  "tuning": {
    "seeds": [
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    "selected": "m10_k1.5",
    "selection_metric": "mean_diff on pooled target spreads 2 and 3",
    "variant_stats": {
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        "by_spread": {
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      "m10_k1.5": {
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  "failures": [],
  "check_values": {
    "310000": 17.5126554022,
    "310001": 20.6298693268,
    "310002": 2.3903113616,
    "310003": 248.006347259
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  "validation": {
    "simulator_commit": "b244530ee2a6247b5f930830eeca9dd950da0e7e",
    "default_config": true,
    "default_parameter_variance": true,
    "steps": 2000,
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    "duplicate_records": 0,
    "off_target_d_exactly_zero": true,
    "timer_tests": "pass: four variants, side independence, expiry, exact-one-tick triggers, repeated retreats and spread gating",
    "loss_tests": "pass: only selected jump-loss component changes; diffusion and gain unchanged",
    "evidence": "Scores and checks are locally measured, not externally certified. Tuning and holdout disjoint; finalist seeds 900000..903999 untouched.",
    "timing_semantics": "On retreat step t, expiry is t+M inclusive: charge applies during cancellation calculation and on the next M callbacks. Terminal H=1 has no jump-mixture term and is unchanged."
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}
