{
  "beckham_fold_status": "refused",
  "experiment_sha256": "aba70474156edfd1e03ac777ddb1083b8f396f3e3a21a03d104a3b3713a544b4",
  "fold_id": "site-group:90cdb79e218b9136816c50046029f538967dc0b31bf9ad78b3563a0d6924761b",
  "held_out_prediction_count": 0,
  "interpretation": "Source-bound prior-exposed English development diagnostic. Exact gradients recover HANGINGS only; CUTHILL2 and LONGBREACH still refuse. No complete BECKHAM training fold, held-out score, vegetation truth, or Nordic admission.",
  "items": [
    {
      "item_id": "author:CUTHILL2",
      "request_sha256": "5c8f9dc338ab88bc0284f53e8d5fead0467c87538f16539a9b35f0ea211e8ee2",
      "rings": [
        {
          "analytic": {
            "algorithm": "scipy.slsqp-simplex-analytic-jacobian",
            "certification_nfev": 1,
            "fun": 0.8230886817938257,
            "message": "Positive directional derivative for linesearch",
            "nfev": 402,
            "nit": 120,
            "success": false
          },
          "baseline": {
            "fun": 0.8230886799982721,
            "message": "Positive directional derivative for linesearch",
            "nfev": 4898,
            "nit": 147,
            "success": false
          },
          "baseline_reproduced": true,
          "cover_min": 9.034077902797688e-13,
          "cover_sum": 1.0000008577291768,
          "gradient_check": {
            "max_ambient_absolute_error": 1.796430915135261e-08,
            "max_ambient_scaled_error": 7.411734416392021e-09,
            "max_tangent_absolute_error": 3.656905089854945e-07,
            "max_tangent_scaled_error": 2.7909603134978216e-08
          },
          "objective_delta_vs_baseline": 1.7955535946967416e-09,
          "outer_m": 500,
          "ring_index": 0
        },
        {
          "analytic": {
            "algorithm": "scipy.slsqp-simplex-analytic-jacobian",
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            "message": "Positive directional derivative for linesearch",
            "nfev": 402,
            "nit": 120,
            "success": false
          },
          "baseline": {
            "fun": 0.8230886799982721,
            "message": "Positive directional derivative for linesearch",
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            "nit": 147,
            "success": false
          },
          "baseline_reproduced": true,
          "cover_min": 9.034077902797688e-13,
          "cover_sum": 1.0000008577291768,
          "gradient_check": {
            "max_ambient_absolute_error": 1.796430915135261e-08,
            "max_ambient_scaled_error": 7.411734416392021e-09,
            "max_tangent_absolute_error": 3.656905089854945e-07,
            "max_tangent_scaled_error": 2.7909603134978216e-08
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          "objective_delta_vs_baseline": 1.7955535946967416e-09,
          "outer_m": 1000,
          "ring_index": 1
        }
      ]
    },
    {
      "item_id": "author:HANGINGS",
      "request_sha256": "26f508a84f564826fadbddf4b4cc8b802fd68c86e63bb120620303a830da5370",
      "rings": [
        {
          "analytic": {
            "algorithm": "scipy.slsqp-simplex-analytic-jacobian",
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            "message": "Optimization terminated successfully",
            "nfev": 313,
            "nit": 110,
            "success": true
          },
          "baseline": {
            "fun": 1.1161822067632334,
            "message": "Positive directional derivative for linesearch",
            "nfev": 4210,
            "nit": 129,
            "success": false
          },
          "baseline_reproduced": true,
          "cover_min": 4.933865523077788e-15,
          "cover_sum": 1.0000000174515578,
          "gradient_check": {
            "max_ambient_absolute_error": 1.682349726195298e-08,
            "max_ambient_scaled_error": 6.801243345801212e-09,
            "max_tangent_absolute_error": 1.3927099029586998e-08,
            "max_tangent_scaled_error": 1.2854041647133318e-08
          },
          "objective_delta_vs_baseline": -4.222964844480259e-08,
          "outer_m": 500,
          "ring_index": 0
        },
        {
          "analytic": {
            "algorithm": "scipy.slsqp-simplex-analytic-jacobian",
            "certification_nfev": 1,
            "fun": 1.116182164533585,
            "message": "Optimization terminated successfully",
            "nfev": 313,
            "nit": 110,
            "success": true
          },
          "baseline": {
            "fun": 1.1161822067632334,
            "message": "Positive directional derivative for linesearch",
            "nfev": 4210,
            "nit": 129,
            "success": false
          },
          "baseline_reproduced": true,
          "cover_min": 4.933865523077788e-15,
          "cover_sum": 1.0000000174515578,
          "gradient_check": {
            "max_ambient_absolute_error": 1.682349726195298e-08,
            "max_ambient_scaled_error": 6.801243345801212e-09,
            "max_tangent_absolute_error": 1.3927099029586998e-08,
            "max_tangent_scaled_error": 1.2854041647133318e-08
          },
          "objective_delta_vs_baseline": -4.222964844480259e-08,
          "outer_m": 1000,
          "ring_index": 1
        }
      ]
    },
    {
      "item_id": "author:LONGBREACH",
      "request_sha256": "65b8920c442ff7afb3db5ad5d78faf00047825e4c4027044851b67e5d2762eb7",
      "rings": [
        {
          "analytic": {
            "algorithm": "scipy.slsqp-simplex-analytic-jacobian",
            "certification_nfev": 1,
            "fun": 0.587410833421881,
            "message": "Positive directional derivative for linesearch",
            "nfev": 540,
            "nit": 154,
            "success": false
          },
          "baseline": {
            "fun": 0.5874116458258167,
            "message": "Positive directional derivative for linesearch",
            "nfev": 5123,
            "nit": 156,
            "success": false
          },
          "baseline_reproduced": true,
          "cover_min": 1.9925186053753788e-12,
          "cover_sum": 1.000000153667704,
          "gradient_check": {
            "max_ambient_absolute_error": 8.17699286059792e-09,
            "max_ambient_scaled_error": 3.282510264991161e-09,
            "max_tangent_absolute_error": 3.398780634711329e-08,
            "max_tangent_scaled_error": 1.4767604233090024e-09
          },
          "objective_delta_vs_baseline": -8.124039356793844e-07,
          "outer_m": 500,
          "ring_index": 0
        },
        {
          "analytic": {
            "algorithm": "scipy.slsqp-simplex-analytic-jacobian",
            "certification_nfev": 1,
            "fun": 0.587410833421881,
            "message": "Positive directional derivative for linesearch",
            "nfev": 540,
            "nit": 154,
            "success": false
          },
          "baseline": {
            "fun": 0.5874116458258167,
            "message": "Positive directional derivative for linesearch",
            "nfev": 5123,
            "nit": 156,
            "success": false
          },
          "baseline_reproduced": true,
          "cover_min": 1.9925186053753788e-12,
          "cover_sum": 1.000000153667704,
          "gradient_check": {
            "max_ambient_absolute_error": 8.17699286059792e-09,
            "max_ambient_scaled_error": 3.282510264991161e-09,
            "max_tangent_absolute_error": 3.398780634711329e-08,
            "max_tangent_scaled_error": 1.4767604233090024e-09
          },
          "objective_delta_vs_baseline": -8.124039356793844e-07,
          "outer_m": 1000,
          "ring_index": 1
        }
      ]
    }
  ],
  "optimizer_contract": {
    "baseline_objective_absolute_tolerance": 1e-10,
    "ftol": 1e-08,
    "gradient_check_scaled_tolerance": 1e-05,
    "max_iterations_per_ring": 300,
    "max_objective_evaluations_per_ring": 16000,
    "method": "same LOVE log-Euclidean objective and simplex constraints",
    "start": "uniform"
  },
  "regional_anchor": "author:BROADOWN",
  "schema_version": "author-love-analytic-gradient-diagnostic.v1",
  "source_manifest_sha256": "48d853468f979a04636642c6c757e9d05edf708d799b29cbae4d2286a9ac0acb",
  "training_items_converged": 1,
  "training_items_required": 3,
  "withheld_site": "author:BECKHAM"
}
