{
  "visual_id": "E40-cold-pairing",
  "title": "Independent cold normal-root pairing audits find an np instability",
  "classification": "scoped_public_input_calculation",
  "run_ids": [
    "20261001T200436164207Z-E35-cold-pairing"
  ],
  "claim_ids": [
    "C02",
    "C06"
  ],
  "input_files": [
    {
      "path": "runs/20261001T200436164207Z-E35-cold-pairing/results.json",
      "sha256": "a684ac19472ef46f68a4c153c7c9bddb58478d4eab9d2b4ec66538cadd780323"
    }
  ],
  "configurations": {
    "E35-cold-pairing": {
      "parents": [
        "20261001T195357669231Z-E35-cold-normal-audit",
        "20261001T200354009388Z-E35-cold-normal-audit"
      ],
      "selection": "explicit immutable audit IDs; no failed paired root promotion"
    }
  },
  "assumptions": {
    "E35-cold-pairing": [
      "Only independently validated cold normal-root Hessians are summarized.",
      "Negative anomalous curvature establishes a restricted quasifree finite-box saddle, not a stable paired phase.",
      "Failed paired root searches remain separate historical records and outside accepted component totals."
    ]
  },
  "plotted_values": {
    "path": "E40-cold-pairing-data.json",
    "sha256": "763501faf6e274184168dd2a6793c40b62161e0118250fe63ba6e529d490dc9c"
  },
  "caption": "Dimensionless entropy-weighted local curvatures of finite-box Gaussian states at L=3, filling 0.25 and mean Np=Nn=3.375. Each family uses its own unchanged charge-conserving Hamiltonian. All pp/nn directions shown are positive; the lowest np direction is negative. Fixed-mean-charge Helmholtz paths independently reproduce the curvatures, and normal-sector tests are separately positive. Nonstationary finite-amplitude searches are not plotted as paired solutions. No exact-number, thermodynamic, field-response or phase-boundary claim follows.",
  "alt_text": "Positive proton-proton and neutron-neutron bars contrast with negative neutron-proton bars in both Hamiltonian families.",
  "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": "c0cbe86ac4a96a8674fdb6eb904471ebc1fcf0ffa653dcdde1748a1ff08b2f62",
    "png": "48d6c7fed42021e2fa3deeb173a6ff25a8e0492fd282c5809acbfc804ba5eec1"
  }
}