{
  "status": "PASS",
  "experiment": "checkpoint_resume_equivalence",
  "configuration": {
    "input_dim": 8,
    "hidden_dim": 16,
    "num_classes": 3,
    "num_examples": 48,
    "batch_size": 4,
    "accumulation_steps": 3,
    "total_optimizer_steps": 12,
    "boundary_interrupt_step": 5,
    "mid_interrupt_completed_steps": 5,
    "mid_interrupt_microsteps": 1,
    "learning_rate": 0.03,
    "weight_decay": 0.01,
    "scheduler_step_size": 4,
    "scheduler_gamma": 0.7,
    "numpy_noise_std": 0.015,
    "python_scale_half_width": 0.05,
    "dropout_probability": 0.35,
    "dataset_seed": 20260717
  },
  "seeds": [
    11,
    17,
    29,
    47,
    83
  ],
  "scenarios": [
    "full_boundary",
    "model_optimizer_only",
    "omit_rng",
    "omit_stream",
    "omit_scheduler",
    "full_mid_accumulation",
    "mid_without_gradients"
  ],
  "run_count": 35,
  "scenario_summary": {
    "full_boundary": {
      "runs": 5,
      "exact_runs": 5,
      "exact_rate": 1.0,
      "max_parameter_abs_error_min": 0.0,
      "max_parameter_abs_error_median": 0.0,
      "max_parameter_abs_error_max": 0.0,
      "first_divergent_steps": [
        null,
        null,
        null,
        null,
        null
      ],
      "all_next_batch_match": true
    },
    "model_optimizer_only": {
      "runs": 5,
      "exact_runs": 0,
      "exact_rate": 0.0,
      "max_parameter_abs_error_min": 0.06372273713350296,
      "max_parameter_abs_error_median": 0.08740417659282684,
      "max_parameter_abs_error_max": 0.09720434993505478,
      "first_divergent_steps": [
        6,
        6,
        6,
        6,
        6
      ],
      "all_next_batch_match": false
    },
    "omit_rng": {
      "runs": 5,
      "exact_runs": 0,
      "exact_rate": 0.0,
      "max_parameter_abs_error_min": 0.05418848246335983,
      "max_parameter_abs_error_median": 0.07113778591156006,
      "max_parameter_abs_error_max": 0.08231598138809204,
      "first_divergent_steps": [
        6,
        6,
        6,
        6,
        6
      ],
      "all_next_batch_match": true
    },
    "omit_stream": {
      "runs": 5,
      "exact_runs": 0,
      "exact_rate": 0.0,
      "max_parameter_abs_error_min": 0.06570293009281158,
      "max_parameter_abs_error_median": 0.0747127290815115,
      "max_parameter_abs_error_max": 0.09997017681598663,
      "first_divergent_steps": [
        6,
        6,
        6,
        6,
        6
      ],
      "all_next_batch_match": false
    },
    "omit_scheduler": {
      "runs": 5,
      "exact_runs": 0,
      "exact_rate": 0.0,
      "max_parameter_abs_error_min": 0.005801213905215263,
      "max_parameter_abs_error_median": 0.005941152572631836,
      "max_parameter_abs_error_max": 0.006064802408218384,
      "first_divergent_steps": [
        9,
        9,
        9,
        9,
        9
      ],
      "all_next_batch_match": true
    },
    "full_mid_accumulation": {
      "runs": 5,
      "exact_runs": 5,
      "exact_rate": 1.0,
      "max_parameter_abs_error_min": 0.0,
      "max_parameter_abs_error_median": 0.0,
      "max_parameter_abs_error_max": 0.0,
      "first_divergent_steps": [
        null,
        null,
        null,
        null,
        null
      ],
      "all_next_batch_match": true
    },
    "mid_without_gradients": {
      "runs": 5,
      "exact_runs": 0,
      "exact_rate": 0.0,
      "max_parameter_abs_error_min": 0.017922472208738327,
      "max_parameter_abs_error_median": 0.03202208876609802,
      "max_parameter_abs_error_max": 0.03545041382312775,
      "first_divergent_steps": [
        6,
        6,
        6,
        6,
        6
      ],
      "all_next_batch_match": true
    }
  },
  "acceptance_checks": {
    "full_boundary_all_exact": true,
    "full_mid_accumulation_all_exact": true,
    "model_optimizer_only_all_fail": true,
    "omit_rng_all_fail": true,
    "omit_stream_all_fail": true,
    "omit_scheduler_all_fail": true,
    "mid_without_gradients_all_fail": true
  },
  "claim_boundary": "Exact bitwise equality is asserted only for this deterministic CPU fixture and software environment."
}
