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{
"claim1": {
"aligned_event_time_control_gap": 5.1514348342607263e-14,
"arm_0_covariance_identity_max_gap": 7.771561172376096e-15,
"arm_1_covariance_identity_max_gap": 2.1316282072803006e-14,
"assignments_enumerated": 256,
"common_effect_covariance_identity_max_gap": 5.1085714285714445,
"verdict": "SUPPORTED"
},
"claim2": {
"max_limit_error_at_scale_1e6": 0.014696807352569619,
"max_relative_width_at_scale_1e6": 0.9837014617598399,
"most_asymmetric_relative_width": 0.6116881512658373,
"small_clock_max_relative_width": 1.6059441380762731,
"verdict": "SUPPORTED"
},
"claim3": {
"entry_activated_gap": 1.0500000000000007,
"event_time_constant_gap": 6.8833827526759706e-15,
"numbering_note": "The current arXiv source labels the unit-level result in Section 4; the challenge anchor's 'Theorem 5.1' appears stale.",
"post_event_drifting_gap": 0.571702857142858,
"verdict": "SUPPORTED"
},
"claim4": {
"scope": "Theorems were source-mapped; only central mechanisms were executed.",
"verdict": "SOURCE_VERIFIED"
},
"claim5": {
"arm0_time_uniform_coverage": 0.835,
"arm1_time_uniform_coverage": 0.835,
"effect_time_uniform_coverage": 1.0,
"mean_final_relative_width": 0.996768440418011,
"n": 500,
"note": "Finite Monte Carlo diagnostic for an asymptotic confidence sequence.",
"repetitions": 200,
"verdict": "MIXED"
},
"destructive_controls": {
"aligned_potential_event_times": "restores common covariance identity",
"drifting_augmentation": "breaks covariance identity",
"entry_activated_augmentation": "breaks covariance identity",
"small_variance_clock": "documents that the width result is asymptotic"
},
"elapsed_seconds": 69.88657582190353,
"official_commit": "b2105f6af4a1108524e2e0e053a2e208f73685e8",
"official_file_sha256": "188d382fc44244456a95eaadf7f92056a2637482247072c27db477faa57b2bb9",
"official_repository": "https://github.com/michaellindon/icml2026",
"seed": 2026
}

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