{
  "schema": "nodus.cpu-verifier-case-study-observations/1",
  "status": "prepared_not_published",
  "reproduction_status": "observation_not_publicly_selfcontained_replay",
  "claim_scope": "One retained CPU-only diagnostic of whole correctness-comparison calls on three prepared workloads, not GPU execution or model evaluation.",
  "planned_observations": 9,
  "retained_observations": 9,
  "observations_per_setting": 1,
  "groups": [
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      "prepared_input_digest": "4bd1149495d92e7c2f0a667f7afb53b50465ba41cd9a9ffeef13030ffe3fdb34"
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      "return_status": "correct",
      "return_detail": "all outputs independently compared against finite bound references"
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      "shape": {
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      "prepared_input_digest": "64db830780feae81f7bd591f9c74e8eb35c4aab2c6a1e2c34aa387cc1937b4da",
      "requested_workers": 24,
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      "return_status": "correct",
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  ],
  "comparison": {
    "setting_order_per_group": [
      1,
      4,
      24
    ],
    "group_order": [
      0,
      1,
      2
    ],
    "randomized_order": false,
    "dedicated_warmup_recorded": false,
    "input_reuse": "Each workload is prepared once and its same instance/reference objects are reused for all three settings.",
    "got_scope": "The harness passes got=[x['reference'] for x in inst] directly. The list is new; no array copy is shown and no GPU-produced output is supplied.",
    "executor": "ThreadPoolExecutor for effective_workers>1; direct map on the calling thread for effective_workers=1.",
    "effective_workers_definition": "Configured upper bound min(requested_workers, case_count), not an observation of active thread count or physical cores.",
    "wall_boundary": "time.perf_counter around the whole correctness call and restoration of the scheduling override; includes pool creation, submission, comparison, ordered result collection and shutdown/join when used. Preparation/digest calculation and emitted log output are outside this interval.",
    "process_cpu_boundary": "time.process_time around the same call; process CPU time includes its threads. Timer reads have a small sequential offset from wall-time reads.",
    "pool_reuse": false,
    "same_operation_scope": "Only worker selection changes within each group. Comparison results are all correct; this does not establish sensitivity to incorrect outputs or general judge qualification."
  },
  "runtime": {
    "numpy_version_observed": "2.2.6",
    "container_image_digest": "sha256:a52b07c01c4550c0fecfbd8810c3dccb34b1bb665f58b58b1810771051b93688",
    "python_flags": [
      "-I",
      "-B"
    ],
    "docker_runtime": "runc",
    "docker_requested_cpus": 24,
    "docker_requested_memory_gib": 16,
    "docker_network": "none",
    "docker_read_only": true,
    "docker_device_requests_observed": null,
    "cpu_count_observed": 24,
    "affinity_logical_cpu_count_observed": 24,
    "physical_core_count": null,
    "cpu_model": null,
    "python_version_observed": null,
    "numpy_blas_openmp_thread_environment_observed": null,
    "torch_thread_setting_observed": null,
    "source_module_sha256": {
      "kernel_lab.product.cuda_cpp.grade": "0399039aa2ef0c149ec75617e64920d27b461662b5bc3a9331a213d79df18f1a",
      "kernel_lab.product.cuda_cpp.reference": "ac5cb2be03b2c6cc80dff862c12632efa21c9de5d33eb90fb624a1065095e58a"
    },
    "measurement_harness_sha256": "37ed19e1b20ea968789ffbff2bcebe69c84f4acafc2c325c0bc817fa8fc8612c",
    "container_command_sha256": "2c392a88047f03841e11d1b9cdd2841bf3633c9b259041930eec7d76c54c78e0",
    "owning_receipt_sha256": "d50f0e8ee16e1fed5d2c74a81ee377c24344c8edf344ede9d618ab6fb2a522e3"
  },
  "cost": {
    "settled_amount": null,
    "currency": null,
    "scope": "No cost or zero-cost claim. CPU work occurred on an already owned runtime; a diagnostic counter of zero provider calls is not a billing receipt."
  },
  "limitations": [
    "One observation per setting, fixed order, no uncertainty interval or repeated hardware sample. This is not a general scaling law.",
    "The requested24 setting uses a maximum of8 workers for the8-case group. CPU affinity/quota does not establish24 physical cores.",
    "Thread creation/shutdown and work are timed together. This observation does not isolate overhead, contention, the GIL, memory bandwidth or any other causal mechanism.",
    "Worker settings, three workload sizes and their differing case counts must be retained together; do not select only the largest slowdown.",
    "No GPU timing, throughput, production-service speedup, training utility or independent correctness qualification follows.",
    "The private import/dependency closure and operational records are not distributed here. Module/image/harness hashes preserve identity but do not make this projection a standalone reproduction.",
    "The separate sealed29-case diagnostic and its production projections are outside this artifact."
  ]
}
