{"id":"W4394643076","doi":"10.4230/lipics.aft.2025.30","title":"Optimally Reliable & Cheap Payment Flows on the Lightning Network","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematical optimization; Computer science; Minimum-cost flow problem; Flow network; Generalization; Payment; Function (biology); Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001734021,0.0005074803,0.001085666,0.0005081493,0.001096983,0.00133386,0.0009919433,0.0009527321,0.004083869],"category_scores_gemma":[0.006898574,0.0003507504,0.0002376808,0.0005576911,0.001225987,0.003008482,0.002087332,0.0009544348,0.0005354525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407176,"about_ca_system_score_gemma":0.00120726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002718917,"about_ca_topic_score_gemma":0.002666938,"domain_scores_codex":[0.999017,0.0002955287,0.00003686902,0.0001907325,0.0001800635,0.0002797009],"domain_scores_gemma":[0.9963539,0.002136572,0.0004100749,0.0006093937,0.0002730143,0.0002169485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001182435,0.00007744897,0.001891408,0.0001023599,0.00002499729,0.0003735821,0.000232716,0.835002,0.008371319,0.0660254,0.005412858,0.08130357],"study_design_scores_gemma":[0.00005477769,0.0001001398,0.0002807989,0.00001228391,0.000007428358,0.000084555,0.0001007055,0.950336,0.002720946,0.04477571,0.001513239,0.00001343592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5859967,0.0005094342,0.396354,0.001673073,0.0001217467,0.0001785995,0.0005751227,0.001331371,0.01326003],"genre_scores_gemma":[0.9799237,0.0001128627,0.01747911,0.00006286198,0.00001804043,0.00003218103,0.0001098051,0.0000339534,0.002227633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004083869,"threshold_uncertainty_score":0.01366192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0513078171212338,"score_gpt":0.1822646094632138,"score_spread":0.13095679234198,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}