{
  "visual_id": "E36-basis-audit",
  "title": "A distributional clue to the released posterior basis discrepancy",
  "classification": "scoped_public_input_calculation",
  "run_ids": [
    "20261001T193750915211Z-E24-basis-audit"
  ],
  "claim_ids": [
    "C02"
  ],
  "input_files": [
    {
      "path": "runs/20261001T193750915211Z-E24-basis-audit/basis-distances.csv",
      "sha256": "3468aaac39b8901d5d61e5618525c95f349cd57fd0578d9f3557f6b09d723bce"
    },
    {
      "path": "runs/20261001T193750915211Z-E24-basis-audit/basis-comparisons.json",
      "sha256": "b4f94f45d3e401c475311748d669fa75bb1fe498d55d0d49e8dffa1a22c88296"
    },
    {
      "path": "runs/20261001T193750915211Z-E24-basis-audit/results.json",
      "sha256": "83d01a7b15bdc8fd3506ea09be5c8f884b85ddfb9b319496b95c124cd665e7be"
    }
  ],
  "configurations": {
    "E24-basis-audit": {
      "parent": "20260929T214425497398Z-E24-posterior",
      "seed": 241001,
      "comparison": "all paired released CSVs",
      "projections": [
        [
          1,
          0
        ],
        [
          0,
          1
        ],
        [
          1,
          1
        ],
        [
          1,
          -1
        ]
      ],
      "algebra_tolerance": 1e-13,
      "inference": "descriptive distances, no p values"
    }
  },
  "assumptions": {
    "E24-basis-audit": [
      "Source Eq.11 is c0c0=CS-3CT, c0c1=CS+CT; coefficients in fm^2.",
      "CSV rows are not assumed paired across independently resampled files.",
      "Transpose-inverse is a diagnostic candidate, not an upstream code diagnosis.",
      "All joint draws and accepted nuclear predictions retain the channel basis.",
      "This audit adds neither an experimental likelihood nor finite-field response."
    ]
  },
  "plotted_values": {
    "path": "E36-basis-audit-data.json",
    "sha256": "0a64cdbc85883226a9b9dec9439c91be9d21c27394d33b169141f40f98df2c2f"
  },
  "caption": "All 16 released standard/channel table pairs are compared without assuming paired CSV rows. The correct source Eq.11 inverse produces maximum projected distribution distance 1 in every table; transposing that inverse gives 0.00688\u20130.01608. These descriptive distances support a diagnostic candidate only: four projections neither establish full multivariate equality nor reveal upstream implementation. No p-value, corrected source posterior, new calibration or finite-field response is claimed.",
  "alt_text": "Sixteen rows show the transposed candidate close to the released central-coefficient distributions, while the correct source transformation has a maximal discrepancy in at least one projection.",
  "generator": "src/metastable/public_report.py",
  "generator_sha256": "9e263878b7237d781a41d94693004412279b5cfa808ccd6e335b7b07269910d4",
  "generator_dependencies_sha256": {
    "src/metastable/render.py": "ff4837be5102588b6614aeb2b7880b10c0a0c20a155e2eb7b409014a47a3de01",
    "src/metastable/spin_report.py": "dd5c64c5c658938948672a7dc767aa02c34dde012c3fc4aedfc3642f88796847",
    "src/metastable/continuation_report.py": "f9bbce6d0e201a9f55c826d6e9c47ab901e51a71b4a1f962b52eb08a63ba5fe9",
    "src/metastable/refinement_report.py": "4539c0ec814603105ab3a2b5cc82ce291c0151113b5bd3916cdc235aadb9bfb0",
    "src/metastable/atomic_mass_report.py": "46dd1cdb56a5a02cafe001a1f6a7fb201e149461850df41e012f77a580c3694b",
    "src/metastable/closure_report.py": "b34a03a9e0058eed65722df542dbb92691dd138787e2078b43ee9f18e221f75c",
    "src/metastable/october_report.py": "f93e7f89e43165d8d25e2184b9b32e6e21c3e1ffe66020d35944f263aaecb726",
    "src/metastable/october_followup_report.py": "925d905ff3bddf97a7ace2f68a4a28e7dfea2238c4f81d891dda2a9e70c6d4f6",
    "src/metastable/october_dynamics_report.py": "6b8d84c0ce0d78f52d064c68697f0d9c885cdc736e215b54eba46821dbe59a33",
    "src/metastable/october_calibration_report.py": "f714ef7ccfaa26e847c6135054f53528b3ff1d7096e7d113cffeea333e77e3d2",
    "src/metastable/october_interface_report.py": "2fc8826a33c952d7898154f84830748c26842c9a165d14aa7b7fb9721fac00bd",
    "src/metastable/october_checkpoint8_report.py": "f3b54f23510b9bfeffc5ff04e6df54e967228f43ba25a15e12e34f898cdfe0af",
    "src/metastable/october_checkpoint9_report.py": "4bd987aac59964ccb4768a95e0cb6f7d1fdccbeffe9483860da7b431f2224ae4",
    "src/metastable/october_checkpoint10_report.py": "9da673d773b63298e041914447ffd97065c1cf2b8966c90fc4ebcbee25a0ed63",
    "src/metastable/october_checkpoint11_report.py": "5f01064f02f4c76d0059d348a763b285c92c3677e6cb0ba0bbf7faa1a4b98248",
    "src/metastable/october_checkpoint12_report.py": "46022030652e3a1e274dfd27b36dfab25d90a97fde439b1da44d6f1fdc5140b5",
    "src/metastable/october_checkpoint13_report.py": "997c59be3af1b6b7be95fd4314e0f3b98c562629901a639572284045a65980c2",
    "src/metastable/october_checkpoint14_report.py": "d84de7d8516d8a4d8e21b5f9f279476f3035f719c1c8ab03b7ac1e44bf822240",
    "src/metastable/october_checkpoint15_report.py": "1f6e17b9549dc31fbb58ba578c4d8ed8e219b4ad30810df0a9d7d2d00e63efdc",
    "src/metastable/october_checkpoint16_report.py": "74cb8aac45d1d5ce0e6eb6678e9b6cdf98cd46fd6e264a513b612ab763fcd034",
    "src/metastable/october_checkpoint17_report.py": "9daceb74e91f6f8db0f7d89929226d46c464c284d06d0694f525fecf0c736bf6",
    "src/metastable/october_checkpoint18_report.py": "f33f88e316cae93af87cef75d8df41ce82970c8f8bc466dd7a094a92c5f00f8b",
    "src/metastable/october_checkpoint19_report.py": "ce2250507145354b6478cafaaff98c2b8ae2795c3c309f0d903a920365a77090",
    "src/metastable/october_checkpoint20_report.py": "e2ea0a8a374036254008cf6de8f10352dfb2585c4ccb18c1e850c017e6128294",
    "src/metastable/october_checkpoint21_report.py": "596b873676167227b2c92d358fcdbc0614908a5a9daad1da6227b81fce203eec",
    "src/metastable/publication_files.py": "e68bd0ee4e849a72fa828f0cfcf34cb6b1b9f2a8bbdbb3d51085054915039607"
  },
  "command": "python run.py full public-report",
  "output_sha256": {
    "svg": "ed27e37731722e57ed700d172e60fef337d7243ab737d02d4f8c13cfb644b66f",
    "png": "7d0f83a9ea9422ffbfc9eab03208285d62449bbad804205b778cef8f3a90a481"
  }
}