{
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  "startedAt": "2026-10-13T02:58:10.833479+00:00",
  "methods": [
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  "trainingRepsPerMethod": 10000000,
  "totalTrainingReps": 20000000,
  "runsPerMethod": 1,
  "trainedRole": "g",
  "initialization": "freshLearner: no previous weights, labels or replay memory",
  "config": {
    "dt": {
      "mass": 280,
      "strength": 74,
      "speed": 87,
      "skill": 70
    },
    "g": {
      "mass": 315,
      "strength": 89,
      "speed": 72,
      "skill": 70
    },
    "duration": 5,
    "blockRange": 2.2,
    "engagementTime": 1.2,
    "contactInterval": 0.2,
    "contactDrive": 1,
    "contactFootwork": 1
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  "trainingSeedBase": 2147483648,
  "trainingSeedStride": 127,
  "developmentSeed": 61000001,
  "developmentCount": 2000,
  "finalEvalSeeds": {
    "standard": 111000001,
    "tacticsOnly": 111000001,
    "trainedDT": 211000001,
    "recovery": 311000001
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  "finalEvalCountPerTest": 10000,
  "curriculumSchedule": {
    "first2000000": "head-on bull rush",
    "next3000000": "bull / left arc / right arc",
    "last5000000": "50% normal, 30% lateral/feint, 20% offset recovery"
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  "shaping": {
    "lambda": 0.25,
    "gamma": 0.94,
    "potentialWeights": {
      "lane": 0.5,
      "cushion": 0.3,
      "motion": 0.2
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    "terminalPotential": 0
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  "notes": [
    "One training trajectory per method. No seed-to-seed certainty claims.",
    "Training seeds stay in the upper half of the uint32 range; evaluation seeds are disjoint.",
    "Headless optimization skips visual recording, uses shallow coordinate copies, and directly steps fixed ticks. Physics and learning unchanged; 10,000 rep-by-rep trajectories and final weights match original engine exactly for each method.",
    "Current main-lab policies and previous study preserved."
  ],
  "engineSHA256": {
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    "platform": "darwin",
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