{ "schema": "bmcte_extension_v1", "generated_at_utc": "2026-06-22T18:59:36.291813+00:00", "claim_boundary": "bmcte-regime-extension-empirical", "parameters": { "N_values": [ 20000 ], "p_values": [ 12, 14 ], "K_values": [ 1000 ], "seeds": 5, "force_cpu": true }, "hardware": { "cuda": false, "gpu": null, "cpu_threads": 18 }, "results": [ { "N": 20000, "p": 12, "K": 1000, "seed": 0, "lambda_theory": 0.992826, "entropy_measured": 11.472225, "nonzero_modes": 8832, "weight_mean": 0.0, "weight_variance": 0.0, "weight_cv": 0.0, "ryser_overflow": false, "used_shots": 1000, "runtime_ms": 4214.7, "used_gpu": false }, { "N": 20000, "p": 12, "K": 1000, "seed": 1, "lambda_theory": 0.992826, "entropy_measured": 11.672839, "nonzero_modes": 8830, "weight_mean": 0.0, "weight_variance": 0.0, "weight_cv": 0.0, "ryser_overflow": false, "used_shots": 1000, "runtime_ms": 4313.1, "used_gpu": false }, { "N": 20000, "p": 12, "K": 1000, "seed": 2, "lambda_theory": 0.992826, "entropy_measured": 11.593152, "nonzero_modes": 8870, "weight_mean": 0.0, "weight_variance": 0.0, "weight_cv": 0.0, "ryser_overflow": false, "used_shots": 1000, "runtime_ms": 4089.6, "used_gpu": false }, { "N": 20000, "p": 12, "K": 1000, "seed": 3, "lambda_theory": 0.992826, "entropy_measured": 11.73728, "nonzero_modes": 8843, "weight_mean": 0.0, "weight_variance": 0.0, "weight_cv": 0.0, "ryser_overflow": false, "used_shots": 1000, "runtime_ms": 3913.0, "used_gpu": false }, { "N": 20000, "p": 12, "K": 1000, "seed": 4, "lambda_theory": 0.992826, "entropy_measured": 11.557188, "nonzero_modes": 8852, "weight_mean": 0.0, "weight_variance": 0.0, "weight_cv": 0.0, "ryser_overflow": false, "used_shots": 1000, "runtime_ms": 4110.9, "used_gpu": false }, { "N": 20000, "p": 14, "K": 1000, "seed": 0, "lambda_theory": 0.990248, "entropy_measured": 11.899455, "nonzero_modes": 9891, "weight_mean": 0.0, "weight_variance": 0.0, "weight_cv": 0.0, "ryser_overflow": false, "used_shots": 1000, "runtime_ms": 10535.4, "used_gpu": false }, { "N": 20000, "p": 14, "K": 1000, "seed": 1, "lambda_theory": 0.990248, "entropy_measured": 11.609291, "nonzero_modes": 9874, "weight_mean": 0.0, "weight_variance": 0.0, "weight_cv": 0.0, "ryser_overflow": false, "used_shots": 1000, "runtime_ms": 11457.7, "used_gpu": false }, { "N": 20000, "p": 14, "K": 1000, "seed": 2, "lambda_theory": 0.990248, "entropy_measured": 11.792069, "nonzero_modes": 9921, "weight_mean": 0.0, "weight_variance": 0.0, "weight_cv": 0.0, "ryser_overflow": false, "used_shots": 1000, "runtime_ms": 10024.0, "used_gpu": false }, { "N": 20000, "p": 14, "K": 1000, "seed": 3, "lambda_theory": 0.990248, "entropy_measured": 11.71882, "nonzero_modes": 9913, "weight_mean": 0.0, "weight_variance": 0.0, "weight_cv": 0.0, "ryser_overflow": false, "used_shots": 1000, "runtime_ms": 10300.4, "used_gpu": false }, { "N": 20000, "p": 14, "K": 1000, "seed": 4, "lambda_theory": 0.990248, "entropy_measured": 11.47579, "nonzero_modes": 9891, "weight_mean": 0.0, "weight_variance": 0.0, "weight_cv": 0.0, "ryser_overflow": false, "used_shots": 1000, "runtime_ms": 10592.1, "used_gpu": false } ], "analysis": { "grid_points": 2, "analysis": [ { "N": 20000, "p": 12, "lambda_theory": 0.992826, "entropy_mean": 11.606537, "entropy_std": 0.091808, "entropy_min": 11.472225, "entropy_max": 11.73728, "nonzero_modes_mean": 8845.4, "weight_cv_mean": 0.0, "runtime_ms_mean": 4128.3, "runtime_ms_std": 134.0, "overflow_count": 0, "n_runs": 5 }, { "N": 20000, "p": 14, "lambda_theory": 0.990248, "entropy_mean": 11.699085, "entropy_std": 0.146361, "entropy_min": 11.47579, "entropy_max": 11.899455, "nonzero_modes_mean": 9898.0, "weight_cv_mean": 0.0, "runtime_ms_mean": 10581.9, "runtime_ms_std": 481.6, "overflow_count": 0, "n_runs": 5 } ] }, "dag": { "mermaid": "graph TD\n input[\"\u2705 Input Grid\"]\n grid[\"\u2705 Expand Grid (10 runs)\"]\n run_N20000_p12[\"\u2705 N=20000, p=12 (5 runs, CPU)\"]\n run_N20000_p14[\"\u2705 N=20000, p=14 (5 runs, CPU)\"]\n collect[\"\u2705 Collect Results\"]\n analyze[\"\u2705 Analyze (aggregate by N,p)\"]\n receipt[\"\u23f3 Write Receipt JSON\"]\n db[\"\u23f3 DB (skipped)\"]\n input --> grid\n grid --> run_N20000_p12\n grid --> run_N20000_p14\n run_N20000_p12 --> collect\n run_N20000_p14 --> collect\n collect --> analyze\n analyze --> receipt\n receipt --> db", "ascii": "[x] Input Grid\n [x] Expand Grid (10 runs)\n [x] N=20000, p=12 (5 runs, CPU)\n [x] Collect Results (73610ms)\n [x] Analyze (aggregate by N,p) (1ms)\n [ ] Write Receipt JSON\n [ ] DB (skipped)\n [x] N=20000, p=14 (5 runs, CPU)", "summary": { "total_nodes": 8, "done": 6, "pending": 2, "total_ms": 73610.88395118713 } }, "total_runtime_s": 73.61, "receipt_sha256": "1e1d282156a7e58f1f473db5b6b007faa79e599202c7c47d9a023ddecbf4deb8" }