VLA-JEPA-Pretrain-CoreAI / parity-report.json
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{
"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": [
0.9999999999987915,
0.999999999999154
],
"max_per_dim_mae": 1.2745814664023263e-07,
"mean_per_dim_mae": 5.632422731391021e-08,
"per_dim_mae": [
5.133915692567825e-08,
4.7526555135846145e-08,
5.2952340670994354e-08,
5.318517131464822e-08,
4.954303481749127e-08,
6.256492010184697e-08,
7.71584122308663e-08
],
"action_rms": 0.19618040039809553,
"max_relative_action_mae": 6.496986772459965e-07,
"per_obs_cosine": [
0.9999999999987915,
0.9999999999995042,
0.999999999999154,
0.9999999999988284,
0.9999999999995302,
0.999999999999624,
0.9999999999995692,
0.9999999999990724
],
"per_obs_ref_rms": [
0.13458763253480277,
0.21955422608615743,
0.1619143062566159,
0.14163650385226817,
0.21921324824208308,
0.2606294913676367,
0.23204637207432485,
0.15959720052974957
],
"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"
}
},
"overall": "passed"
}