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"advance": true, "source_sha256": "e183e5bc3fb794b7067703b10a7da9920267aa5f4caa968e16ca101b02338f40", "dropped": [], "engine_runs": 0, "report_set_evaluated": false, "limitations": [ "Replica measurements only; no Solidity, gas, engine or report-set evaluation.", "SCAN selects steps using mean-SE>0; confirmed means CONFIRM mean-2*SE>0, with no multiple-testing adjustment.", "Column halves use the ordered stored column knots, splitting at the boundary nearest half the total absolute visit weight across all levels on 64000..64127.", "Row shifts evaluate old(row+step), clamped at endpoints, with linear interpolation between stored row knots before delta lattice rounding.", "Quantization uses qpl.apply(quantize=True): nearest delta lattice unit, ties away from zero. For steps flagged encoding_feasible=false, qpl.apply rejected the int8 column differences; its identical quantization was rerun with only the final encode check disabled to score the requested overlay. Such steps need an encoding change before deployment.", "Global selected figure is the sum whenever two or more steps confirm, as specified; otherwise the best individually confirmed step.", "advance indicates completed measurements and passed controls for this bound item, not achievement of the +0.03 promotion bar.", "This finite set of global shape directions is not a global bound on arbitrary node corrections.", "Visit weights are interpolation participation measures, not objective gradients or causal edge attribution.", "The sum reuses CONFIRM seeds that selected its components, as requested; it is not a fresh holdout evaluation.", "levels are stored level indices 0,1,2, corresponding to QPL1 level knots 0,3,7. Row and column bands use stored knot coordinates.", "No steps were stopped mid-SCAN: the brief requires every kept step to receive all 2048 SCAN seeds. Only steps passing the specified SCAN gate received CONFIRM." ], "controls": { "implementation_sha256": "4d4894474104eac9148e52b18d679b994ce73c6a889bafa18169c8dacca22855", "empty_delta_exact": true, "empty_delta_seeds": [ 400000, 400063 ], "empty_delta_n": 64, "codec": { "byte_identical": true, "bytes": 10160, "sha256": "830868f9b3e5ad162c4f2070e6faed0782c7b4cc308ab69044b2cf7306f68099", "scales_checked": [ 250, 500, 500, 1000, 500 ], "int16_boundaries": true, "int8_boundaries": true, "invalid_indices_and_duplicates_rejected": true, "atomic_failure": true }, "best_delta_encoding_feasible": true, "best_delta_nodes_changed": 993, "dependency_sha256": "a992fd6855d568b6fbb163423e9dd6ea7c4709b7475d343079c667edeceb9c00", "row_shift_exact_rational_rounding": { "steps": 4, "nodes_checked": 11232, "mismatches": 0, "half_ties_checked": 466 }, "profile_exact": true, "profile_seeds": [ 64000, 64127 ], "node_isolation_and_knot_checks": "passed: all five tables, including interior profile weights", "baseline_mean_edge": { "scan": 534.0265028915078, "confirm": 533.8838464993488 } }, "visit_profile": { "credit": "Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved", "seeds": [ 64000, 64127 ], "columns": [ 0, 11, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 32, 34, 36, 37, 38, 39, 40, 41, 42, 48 ], "column_abs_weights": [ 7135.511546883051, 43201.07701250215, 29838.5593135795, 16601.790802726926, 19924.26375991905, 22467.93862825713, 23908.392631693394, 25592.020328836028, 27103.123922847644, 28298.60908589965, 28101.06877607274, 39101.36907883373, 29377.49756440359, 13861.137788084812, 10919.195255935714, 11013.292803375338, 8353.966727987201, 5131.1486863543505, 3015.6698401234826, 2259.974764286107, 1682.3319586544078, 1120.791491347867, 917.9048789873863, 624.3200010286632, 113.03558519740925, 2.609885795675951 ], "level_abs_weights": [ 161208.1258620708, 233878.57526408217, 4579.900993459756 ], "rows": [ 0, 81, 115, 125, 135, 137, 139, 142, 143, 145, 146, 147, 149, 151, 153, 155, 158, 159, 161, 163, 165, 166, 167, 168, 169, 170, 171, 172, 174, 176, 178, 182, 184, 188, 191, 320 ], "row_abs_weights": [ 337.92087195701225, 1712.0488705017117, 3733.007500839063, 6170.521177553258, 8022.09291961751, 4548.300227020503, 7953.3880590576555, 8586.69236313513, 8991.038646819905, 11554.330279490676, 9406.516914907146, 16538.853994427755, 25569.898462514826, 28459.271696382086, 29944.65501270942, 37674.774006751926, 29734.06524108713, 22332.255762254958, 29677.810793725566, 29764.099556600104, 22603.126780246155, 14118.109803410822, 13493.68204993647, 7698.925213806783, 6120.8979665568095, 4318.528562397741, 3139.861828722641, 2277.779825054283, 1921.6999294461066, 1060.365950716414, 924.7136528233968, 511.6885500394342, 382.12785873197106, 326.27125924803147, 57.2805311225906, 0.0 ], "lower_columns": [ 0, 1, 2, 3, 4, 5, 6, 7 ], "upper_columns": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ], "lower_weight_fraction": 0.4720673506962981 }, "measurement_protocol": { "scan_seeds": [ 400000, 402047 ], "confirm_seeds": [ 410000, 418191 ], "scan_gate": "gain - se > 0", "confirmation_gate": "gain - 2*se > 0", "paired_se": "sample standard deviation of candidate-minus-QLX5 per-seed edges / sqrt(n)", "max_simultaneous_simulators": 5, "scored_steps": 40, "confirm_steps": 8 }, "scan_bar_check": { "credit": "Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved", "bar": 0.03, "checked_steps": 40, "all_upper_2se_below_bar": true, "maximum_upper_2se": 0.018081352657028732 } }