{
  "recipe_id": "vla-jepa-pretrain",
  "generated_at": "2026-07-07T02:27:51+00:00",
  "bundle": "build/vla-jepa-pretrain/vla-jepa-pretrain.aimodel",
  "conversion_manifest": null,
  "gate_a": {
    "status": "passed",
    "checks": [
      {
        "name": "bundle_exists",
        "status": "passed",
        "detail": "build/vla-jepa-pretrain/vla-jepa-pretrain.aimodel"
      },
      {
        "name": "bundle_files_present",
        "status": "passed",
        "detail": "3 expected file(s) present"
      },
      {
        "name": "metadata_json_parses",
        "status": "passed",
        "detail": "metadata.json parses (3 top-level keys)"
      },
      {
        "name": "metadata_matches_recipe",
        "status": "skipped",
        "detail": "no overlapping keys between recipe expectations and bundle metadata (nothing to compare \u2014 this is not a pass)"
      }
    ]
  },
  "gate_b": {
    "metric": "action_parity",
    "threshold": 0.995,
    "tolerance": 0.001,
    "value": 0.9999999999987915,
    "status": "passed",
    "near_zero_conditioned": false,
    "measurement_source": "action-parity-measured.json",
    "parity_kind": "vla_jepa_action_head_fixed_noise",
    "min_action_cosine": 0.9999999999987915,
    "median_action_cosine": 0.9999999999993291,
    "mean_action_cosine": 0.9999999999992593,
    "cosine_ci95": [
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      0.999999999999154
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    "max_per_dim_mae": 1.2745814664023263e-07,
    "mean_per_dim_mae": 5.632422731391021e-08,
    "per_dim_mae": [
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      4.7526555135846145e-08,
      5.2952340670994354e-08,
      5.318517131464822e-08,
      4.954303481749127e-08,
      6.256492010184697e-08,
      7.71584122308663e-08
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    "per_obs_ref_rms": [
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      0.21955422608615743,
      0.1619143062566159,
      0.14163650385226817,
      0.21921324824208308,
      0.2606294913676367,
      0.23204637207432485,
      0.15959720052974957
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    "n_obs": 8,
    "num_steps": 4,
    "action_dim": 7,
    "chunk_size": 7,
    "sampler": "vla_jepa_flow_matching_euler",
    "deterministic": true,
    "reference": "Torch VLA-JEPA action head vs Core AI action_denoise_step, identical synthetic Qwen-context tokens, fixed noise, and Euler loop; this gates the action-head export lane, not downstream task success.",
    "runner": "coreai-fabric-parity-runner/0.1.0",
    "environment": {
      "platform": "darwin-arm64",
      "accelerator": "apple_silicon",
      "runtime_version": "1.0.0b2",
      "coreai_torch": "0.4.1",
      "torch": "2.9.0",
      "transformers": "4.57.6"
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  "overall": "passed"
}