outputs/claim5.json

{
  "assessment": "verified",
  "author_mechanism_execution": {
    "configured_posted_price": 0.5,
    "grid_points": 4001,
    "max_allocation_below_0.499": 0.0,
    "min_allocation_above_0.501": 1.0
  },
  "author_repository_commit": "85a5da444a146ea28945173e22e3d130163dae42",
  "benchmark_match": "Table I prints 0.274 learned and 0.274 SJa per item for n=2",
  "claim": 5,
  "destructive_control": {
    "effect": "moving the threshold to 0.35 creates a 0.0225 revenue gap",
    "posted_price": 0.35,
    "revenue_gap": 0.0225
  },
  "literal_claim": "Figures 2-3 show the learned parametrization recovers the known optimal posted price of 0.5 in the single-item auction case and finds a mixed-bundling pricing scheme matching theoretical benchmarks in the two-item case.",
  "mixed_menu_test": "both heatmaps contain large exact zero/full regions plus nonzero intermediate-allocation regions",
  "single_item_analytic_oracle": {
    "exact_optimum_price": 0.5,
    "figure_learned_price": 0.495,
    "revenue_gap_to_optimum": 2.5e-05,
    "revenue_identity": "R(p)=p(1-p)"
  },
  "two_item_source_heatmap_a1": {
    "full_allocation_pixels": 253352,
    "intermediate_allocation_pixels": 3171,
    "sha256": "30e8063e8981a67f2456327c4578bc5417e528ecb3aa8aa539cdce35953df8a2",
    "size": [
      874,
      748
    ],
    "zero_allocation_pixels": 126997
  },
  "two_item_source_heatmap_a2": {
    "full_allocation_pixels": 230527,
    "intermediate_allocation_pixels": 26051,
    "sha256": "61678a82a62e4d95a4e097f4cb197e2e557b8a299e27ea1ea1248b2d3c51c7da",
    "size": [
      874,
      748
    ],
    "zero_allocation_pixels": 127015
  }
}