{
  "schema_version": 1,
  "built_at_utc": "2026-09-14T23:44:28.944768+00:00",
  "submission_date": "2026-09-14",
  "name": "rev88-20260914",
  "tier": "MNIST-medium",
  "target_error_percent": 12,
  "minimum_accuracy_percent": 88,
  "required_correct": 96800,
  "qualifies": true,
  "status": "qualified",
  "configuration": {
    "alpha": 0.5,
    "batch_size": 128,
    "momentum": 0.9,
    "weight_decay": 0.0,
    "seed": 11,
    "depth": 2,
    "epochs": 2,
    "learning_rate": 0.1
  },
  "parameter_count": 7554,
  "parameter_payload_bytes": 30216,
  "four_parameter_state_payload_bytes": 120864,
  "memory": {
    "measured_peak_allocated_bytes": 283836416,
    "measured_prepare_and_invoke_peak_bytes_by_draw": [
      82509824,
      82509824,
      82509824,
      82509824,
      149618688,
      149618688,
      149618688,
      216727552,
      216727552,
      216727552,
      283836416
    ],
    "entry_allocated_baseline_bytes_by_draw": [
      0,
      0,
      0,
      0,
      67108864,
      67108864,
      67108864,
      134217728,
      134217728,
      134217728,
      201326592
    ],
    "added_peak_above_entry_baseline_bytes_by_draw": [
      82509824,
      82509824,
      82509824,
      82509824,
      82509824,
      82509824,
      82509824,
      82509824,
      82509824,
      82509824,
      82509824
    ],
    "added_peak_above_entry_baseline_bytes_max": 82509824,
    "measured_prepare_and_invoke_peak_bytes_min": 82509824,
    "measured_prepare_and_invoke_peak_bytes_median": 149618688,
    "grid_peak_scratch_bytes": null,
    "core_forward_retained_states": 1,
    "core_endpoint_bytes_per_example": 328,
    "core_endpoint_bytes_at_training_batch": 41984,
    "scope": "Peak allocator measurement spans preparation and first full invocation before serialization/CUDA diagnostics; includes graph pools/library workspace, excludes driver/context. Report raw peaks, preexisting worker baselines and peak-minus-entry separately. Baselines differ on reused workers; this is not model-dependent growth. Core endpoint/parameter payload are separate exact tensor-size calculations."
  },
  "accuracy": {
    "correct": 98208,
    "total": 110000,
    "mean_percent": 89.28,
    "sample_sd_pp": 0.35908216329971143,
    "error_percent": 10.719999999999999,
    "draws": [
      {
        "draw": 0,
        "dataset_seed": 2026091400,
        "correct": 8887,
        "total": 10000,
        "accuracy_percent": 88.87,
        "test_labels_sha256": "bd4713c69c1aa1596c189ad118ee5f2975bf3a3aad162ba479e8912ea9c76a37",
        "learner_seed": 11,
        "cuda_ms_single_run": 50.89894485473633
      },
      {
        "draw": 1,
        "dataset_seed": 2026091401,
        "correct": 8916,
        "total": 10000,
        "accuracy_percent": 89.16,
        "test_labels_sha256": "de5b219fe51c62023a228556424a125b3ac34159dc36457ca1758eb98189f40e",
        "learner_seed": 11,
        "cuda_ms_single_run": 50.515968322753906
      },
      {
        "draw": 2,
        "dataset_seed": 2026091402,
        "correct": 8947,
        "total": 10000,
        "accuracy_percent": 89.47,
        "test_labels_sha256": "ad8141c12bd6fd8a69be34c99744d76782d2349c14658986d50ec9fd9c95797a",
        "learner_seed": 11,
        "cuda_ms_single_run": 50.6695671081543
      },
      {
        "draw": 3,
        "dataset_seed": 2026091403,
        "correct": 8904,
        "total": 10000,
        "accuracy_percent": 89.04,
        "test_labels_sha256": "c68c60f29bf23f15bbc8a1b73e00d16ab6224028b8ab72d0e2fa3307494be8c1",
        "learner_seed": 11,
        "cuda_ms_single_run": 50.80780792236328
      },
      {
        "draw": 4,
        "dataset_seed": 2026091404,
        "correct": 8992,
        "total": 10000,
        "accuracy_percent": 89.92,
        "test_labels_sha256": "709cd34e9c303366df384992652f63b8b0ebbe90e9fd6fc77cb6c184f4114d7e",
        "learner_seed": 11,
        "cuda_ms_single_run": 50.60198211669922
      },
      {
        "draw": 5,
        "dataset_seed": 2026091405,
        "correct": 8979,
        "total": 10000,
        "accuracy_percent": 89.79,
        "test_labels_sha256": "237d33b62310372ce5d069899d227e87be0173f17897dc30d5d761da56705139",
        "learner_seed": 11,
        "cuda_ms_single_run": 50.60710525512695
      },
      {
        "draw": 6,
        "dataset_seed": 2026091406,
        "correct": 8911,
        "total": 10000,
        "accuracy_percent": 89.11,
        "test_labels_sha256": "0377b291e4da379b4867f59fd22c4db9c318a288a0941c52e7779c356a2c97bb",
        "learner_seed": 11,
        "cuda_ms_single_run": 50.343936920166016
      },
      {
        "draw": 7,
        "dataset_seed": 2026091407,
        "correct": 8922,
        "total": 10000,
        "accuracy_percent": 89.22,
        "test_labels_sha256": "c7e7bc381af85955a69cd5594bcdab76b202c89049b8b53c1b21b561bcd352e9",
        "learner_seed": 11,
        "cuda_ms_single_run": 51.483646392822266
      },
      {
        "draw": 8,
        "dataset_seed": 2026091408,
        "correct": 8950,
        "total": 10000,
        "accuracy_percent": 89.5,
        "test_labels_sha256": "547658fcedb5649137844419b52b9dceb1fa1e9057a0056658b4c1cbee673735",
        "learner_seed": 11,
        "cuda_ms_single_run": 49.43974304199219
      },
      {
        "draw": 9,
        "dataset_seed": 2026091409,
        "correct": 8877,
        "total": 10000,
        "accuracy_percent": 88.77,
        "test_labels_sha256": "68fb877d1b1127df2c0feef1f8b3ec04c787bf422c783974d98a35d0c983f566",
        "learner_seed": 11,
        "cuda_ms_single_run": 50.946048736572266
      },
      {
        "draw": 10,
        "dataset_seed": 2026091410,
        "correct": 8923,
        "total": 10000,
        "accuracy_percent": 89.23,
        "test_labels_sha256": "5c53c69c6553e850f2f053aca4891fb7dce9db7786b47e12f445ea47d8a01602",
        "learner_seed": 11,
        "cuda_ms_single_run": 50.766849517822266
      }
    ]
  },
  "dataset_seeds": [
    2026091400,
    2026091401,
    2026091402,
    2026091403,
    2026091404,
    2026091405,
    2026091406,
    2026091407,
    2026091408,
    2026091409,
    2026091410
  ],
  "learner_seed": 11,
  "learner_seed_policy": "same seed, fresh weights and zero momentum in every draw/replay",
  "selection": {
    "validation_only": true,
    "training_examples": 8000,
    "validation_examples": 2000,
    "candidate_count": 16,
    "selected_correct": 1780,
    "selected_total": 2000,
    "rule": "Among candidates with validationaccuracy>=89%, choose minimumepochs, then minimumdepth, then smallest accuracy surplus over89%; no test-result selection"
  },
  "a100": {
    "energy_mj": 1101.2411669370717,
    "energy_sample_sd_mj": 72.65349894231267,
    "runtime_ms": 37.94223883213141,
    "runtime_sample_sd_ms": 0.1451727209880734,
    "draw_measured": 0,
    "dataset_seed_measured": 2026091400,
    "trials": 3,
    "fresh_invocations_per_trial": 104,
    "energy_summaries": {
      "idle_adjusted_mj_per_task": {
        "mean": 1101.2411669370717,
        "sample_sd": 72.65349894231267,
        "values": [
          1030.9487807986357,
          1096.7292429710044,
          1176.045477041575
        ]
      },
      "unadjusted_mj_per_task": {
        "mean": 3506.5096153846152,
        "sample_sd": 35.575048027511805,
        "values": [
          3467.8846153846152,
          3513.7115384615386,
          3537.9326923076924
        ]
      },
      "cuda_ms_per_task": {
        "mean": 37.94223883213141,
        "sample_sd": 0.1451727209880734,
        "values": [
          37.83597271259014,
          38.10764723557692,
          37.883096548227165
        ]
      },
      "wall_ms_per_task": {
        "mean": 37.973672064102566,
        "sample_sd": 0.1449096090043639,
        "values": [
          37.86814017788459,
          38.138892711538475,
          37.91398330288464
        ]
      }
    },
    "hardware": {
      "gpu": "NVIDIA A100-SXM4-40GB",
      "uuid": "GPU-1552a575-ab47-76b8-3221-83dd4cb89278",
      "total_memory_bytes": 42405855232,
      "power_limit_w": 400.0,
      "driver": "580.95.05",
      "cuda_pci_bus_id": "0000:50:00.0",
      "nvml_pci_bus_id": "00000000:50:00.0",
      "nvml_handle_selected_by_cuda_pci_bus_id": true
    },
    "software": {
      "python": "3.11.15",
      "torch": "2.5.1+cu124",
      "numpy": "2.2.6",
      "cuda": "12.4",
      "nvidia_ml_py": "12.560.30"
    },
    "scope": "Every task resets weights and momentum, normalizes raw9x9 inputs, trains from scratch, predicts allqueries; allinvocations included. GPUresident measurement excludes transfers, allocation, JIT/graphcapture, hostpreprocessing and verification.",
    "cold_start_or_end_to_end_application_energy_measured": false
  },
  "grid": {
    "energy_mj": null,
    "runtime_ms": null,
    "peak_scratch_bytes": null,
    "active_processors": null,
    "word_node_hops": null,
    "time_to_score_seconds": null,
    "model_revision": null,
    "status": "not measured"
  },
  "wandb_runs": [],
  "sources": {
    "training_source_sha256": {
      "learner.py": "c395a8b7bc2951e3fdab5c5f5edf5ad2d5357de4e9170e52b988f4312e7169c5",
      "energy.py": "39816c3ba6bfc726f77f45094a8eba61e3fa48e50b93300129ef16878b9beb7a",
      "run.py": "5949380b6708d0b484ef333104d6f794df1332877d0c928aafe2d38675ad6fa5",
      "data_reference.py": "982bedbc56d928760f47f78017102652fe5492c57e3160e410514ded445744fa"
    },
    "raw_mnist_sources": {
      "train_images": {
        "file": "train-images-idx3-ubyte.gz",
        "sha256": "440fcabf73cc546fa21475e81ea370265605f56be210a4024d2ca8f203523609",
        "md5": "f68b3c2dcbeaaa9fbdd348bbdeb94873"
      },
      "train_labels": {
        "file": "train-labels-idx1-ubyte.gz",
        "sha256": "3552534a0a558bbed6aed32b30c495cca23d567ec52cac8be1a0730e8010255c",
        "md5": "d53e105ee54ea40749a09fcbcd1e9432"
      }
    },
    "protocol_sha256": "ec2c0c3cb8037f11766604c90c1cd7352e8656bea59d4d3ab3da2c7e1ce75496",
    "prediction_manifest_sha256": "60b06ddb997208837a28510d11524868d9e9d48d8f04045fc7a346b142d03adc",
    "accuracy_sha256": "eb0abcd7613d987074b664ade1e4140699f298d5d58dfa5698b925e0071c7485",
    "report_builder_sha256": "4b73a151369c9951697ec3f5e17500c2fd00cf593e459c64e288363083d2a42b",
    "rules_sha256_at_report": "4d35c750c53bb624400b8d3a7232e407af0e7e1890fbf3e704ff9cdefbabadec"
  },
  "report_checks": {
    "passed": true,
    "all_eleven_outputs_frozen_before_label_read": true,
    "training_only_selection_rule_and_all_retained_validation_predictions_recomputed": true,
    "sampling_input_and_epoch_order_hashes_recomputed": true,
    "all_eleven_accuracies_independently_rescored": true,
    "aggregate_mean_sample_sd_threshold_recomputed": true,
    "energy_counter_arithmetic_and_three_trial_statistics_recomputed": true,
    "energy_replay_state_matches_qualification_draw0": true,
    "cuda_nvml_pci_identity_verified": true,
    "cpu_reconstruction_validation_passed": true,
    "cuda_eager_replay_validation_passed": true
  }
}
