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    "protocol": {
      "models": [
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        "FNO",
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        "OFormer"
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      "steps_per_model": 40000,
      "seed": 20261111,
      "split_one_based": {
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      "training_presentations": {
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      "update": "One full-grid next-frame sample per optimizer update; cycle60 pairs (3 TRAIN cases x20 target frames)",
      "input": "65536x8: XYZ,geometry,previous stress,previous load,current applied load,load increment",
      "input_names": [
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        "y",
        "z_zero",
        "geometry",
        "previous_stress_normalized",
        "previous_load_normalized",
        "current_applied_load_normalized",
        "load_increment_normalized"
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      "output": "65536x1: next stress frame",
      "history_window": 1,
      "initial_condition": {
        "load": 0,
        "stress": 0,
        "source": "User-prescribed initial state; not an added FEM sample"
      },
      "training_feedback": "Ground-truth next stress is pushed into the one-frame window after each supervised update",
      "evaluation_feedback": "Only predicted next stress is pushed into window; all20 frames recursively predicted from zero; no held-out GT stress input",
      "target_scale": 106.5266651084615,
      "target_scale_fit_cases": [
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      "load_scale": 0.0017999999690800905,
      "load_scale_fit_cases": [
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      "loss": "Normalized next-frame MSE over material pixels only",
      "optimizer": "AdamW lr3e-4, inherited after-update schedule1e-4 after6001,3e-5 after12001; wd0,clip1",
      "precision": "FP32/TF32 no AMP",
      "milestones": [
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        6000,
        12000,
        20000,
        30000,
        40000
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      "validation_selection": "Minimum Case4 closed-loop20-frame relative L2 among fixed milestones, strict improvement and earlier tie wins",
      "test_policy": "Case5 closed-loop only after40000 and selection frozen; fixed40000 and validation-best reported separately",
      "initialization": "New pure random8-input/1-output initial.pt; no trained P03 weights",
      "shared_data_setup_seconds": 0.25861096382141113,
      "source_SHA256": {
        "geometry.npy": "ec23200b397d1dee0f5000f7b2708b00e589eb9cfe876ab4a8a327e1a6e2aaf0",
        "loading_sequence.npy": "38b59b735870bd7e4c92e87f04663075e5d97eb5f0b449d7918ee7ad1adec9d8",
        "stress_field.npy": "26df2501a022fc67b382f1038381b8502444e3c8e5acde25079eb114e1cd4071"
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      "budget_comparison": "P03 supervises20 output frames per update; P04 supervises1 frame per update. Same40000 optimizer updates, not equal supervised-frame counts",
      "time_method": "Epoch wall intervals and Windows/file UTC boundaries; CUDA-event clocks not used"
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      "admission_wait_seconds": 66.08052659034729,
      "worker_startup_seconds": 0.8758440017700195,
      "idle_observations": 3,
      "gpu_utilization_at_entry": 1
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      "finished_unix": 1794438424.1351268,
      "queue_wall_seconds": 10938.79093837738,
      "all_completed": true
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    "scope": "Only1 validation case and1 test case; recursive20-frame forecast from user-prescribed zero stress/load; only past stress and currently applied load are inputs",
    "time_note": "Official durations use filesystem UTC preflight-to-final-loss and final-loss-to-summary intervals. Training-process UTC includes scheduled validation and checkpoint overhead; initial setup/preflight is excluded. P04 records epoch wall components without CUDA-event timing; verify against UTC intervals. Same optimizer-update count is not equal supervised-frame exposure versus P03. Queue wait is separate."
  },
  "scope": "P04: teacher forcing train, one-frame state, user-prescribed zero load/stress initial condition, recursive20-frame inference with no GT stress feedback; TRAIN3 / validation1 / test1"
}