{
  "status": "PASS",
  "scope": "Constructed analytic examples only; not neural training, a benchmark, or measured hardware performance.",
  "script": "learned-compression-calibration.py",
  "script_sha256": "37db1589c07da1e0f9fee8d63197fcbf0a9740b14f3e23615be41101eaa3300d",
  "stdout_sha256": "25b116fa6aebc24c9de080f3b9ef1adc929faff88960bc94ba283bf6dc4b8b13",
  "executed_utc": "2026-10-27T16:35:09.464350+00:00",
  "returncode": 0,
  "figure_data_matches": true,
  "figures": [
    {
      "id": "entropy-mismatch",
      "x": [
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        0.2,
        0.5,
        0.8,
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      ],
      "series": [
        {
          "name": "Cross-entropy, source p=0.9",
          "y": [
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        },
        {
          "name": "Source entropy",
          "y": [
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        }
      ]
    },
    {
      "id": "side-information-crossover",
      "x": [
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        64,
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      ],
      "series": [
        {
          "name": "Uniform model",
          "y": [
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          ]
        },
        {
          "name": "Matched model + 16 side bits",
          "y": [
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}