{
  "schema": "architectureiq-public-quality-summary-v1",
  "domain": "classification",
  "source_sha256": "78380ef4768017c035dd3f7b42404e3dcd9f4318018ac56e4a87ae4816f8cf5e",
  "plan_sha256": "5cb3baaa55f5bfe4ad3d28280c1eb410bd58ad3de358377f2a7e3368f303c487",
  "status": "complete",
  "dataset_audits": 15,
  "candidate_seed_results": 3312,
  "missing_candidate_nodes": 0,
  "independent_fixed_checkpoints": [
    {
      "dataset_node_id": "dataset_32df760ef312a38d",
      "candidate_node_id": "candidate_3832b1a5bed99bc11e88",
      "training_seed": 200,
      "checkpoint_sha256": "720c3903fa53b4a92514898a96f3280b9f28be43433fb46a142b997a101c597d",
      "metrics_checked": [
        "ood",
        "test",
        "train",
        "validation"
      ],
      "maximum_absolute_ce_error": 5.4016709327697754e-08
    },
    {
      "dataset_node_id": "dataset_e0bb4b3a905a5977",
      "candidate_node_id": "candidate_675b0f0945a65c7728d6",
      "training_seed": 200,
      "checkpoint_sha256": "02ccdadf60318f29b6786021719c83e5ffbedcdb804bf1b62320b75966eee85f",
      "metrics_checked": [
        "ood",
        "test",
        "train",
        "validation"
      ],
      "maximum_absolute_ce_error": 5.587935447692871e-08
    },
    {
      "dataset_node_id": "dataset_68a832a939c0b770",
      "candidate_node_id": "candidate_121eb45f3650881324a7",
      "training_seed": 200,
      "checkpoint_sha256": "14f25361a7b27430a76f4f791231aecd22a882d991be72a2342dc01951d3b794",
      "metrics_checked": [
        "ood",
        "test",
        "train",
        "validation"
      ],
      "maximum_absolute_ce_error": 1.1026859283447266e-06
    },
    {
      "dataset_node_id": "dataset_4d28614559aee4b9",
      "candidate_node_id": "candidate_9c4ac004a68ae6f01a23",
      "training_seed": 200,
      "checkpoint_sha256": "26576f49715f32ed28e7ea49c88d7a0c71068eb1995ec6af5ed30b0ddf8ab1ef",
      "metrics_checked": [
        "ood",
        "test",
        "train",
        "validation"
      ],
      "maximum_absolute_ce_error": 1.0728836059570312e-05
    },
    {
      "dataset_node_id": "dataset_9f616ad5ea615654",
      "candidate_node_id": "candidate_fad13efd0f5a1af0c4eb",
      "training_seed": 200,
      "checkpoint_sha256": "e7af8d3a5b0d8f2850e48a2b410d4a9373d7b230663b4476259b3081bcc5777d",
      "metrics_checked": [
        "ood",
        "test",
        "train",
        "validation"
      ],
      "maximum_absolute_ce_error": 6.239861249923706e-08
    }
  ],
  "claim_limits": [
    "Procedural images only; no natural-image generalization claim.",
    "Single-channel position priors and local shape energy shortcuts are measured baselines, not presumed absent.",
    "Candidate seed runs share data and configurations; descriptive summaries are not independent-sample capability confidence intervals.",
    "Training-tail loss is a minibatch statistic, not a full-dataset training CE.",
    "Fixed audit anchors were chosen from configuration before inspecting measured losses."
  ]
}