fresh_audit/summary.json

{
  "checks": [
    {
      "check": "inner-flow time/theory max deviation",
      "value": 0.009314588886898179,
      "criterion": "< 0.02",
      "passed": true
    },
    {
      "check": "time scales inversely with lambda",
      "value": 3.9929577464788735,
      "criterion": "~ 4",
      "passed": true
    },
    {
      "check": "outer noisy-gradient slope",
      "value": -0.5312993758322324,
      "criterion": "< -0.35",
      "passed": true
    },
    {
      "check": "Schrodinger Gaussian half-bridge normalization",
      "value": 1.0,
      "criterion": "= 1",
      "passed": true
    }
  ],
  "scope": "Analytic Gaussian gradient-flow sampler plus noisy quadratic outer loop; CIFAR-10 was not freshly rerun.",
  "paper_id": "QRtzkKrbJi",
  "title": "Gradient Flow Sampler-based Distributionally Robust Optimization",
  "seed": 31072026,
  "executed_at": "2026-07-31T17:37:55.118719+00:00",
  "all_checks_passed": true,
  "environment": {
    "python": "3.10.12",
    "numpy": "1.24.4",
    "scipy": "1.14.0",
    "platform": "Linux-5.15.0-139-generic-x86_64-with-glibc2.35"
  },
  "reference_evidence": {
    "space": "ai-sherpa/dro-gradient-flow-sampler-repro",
    "sha": "8d821207386e10a99594f9e55b3fb16cb7c8a528",
    "relationship": "separately attributed public reference"
  }
}