{"id":"W4415191847","doi":"10.48550/arxiv.2508.05877","title":"Superadditivity-based valid inequalities and asymptotic bounds for the vehicle routing problem with stochastic demands","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Superadditivity; Integer (computer science); Computation; Function (biology); Integer programming; Exploit; Bounded function","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008197523,0.003099918,0.001846623,0.00258649,0.00102086,0.003769084,0.004040993,0.001833955,0.00645846],"category_scores_gemma":[0.04651312,0.001326421,0.00290607,0.003234793,0.00337399,0.005820007,0.003681721,0.009443227,0.001089221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004719646,"about_ca_system_score_gemma":0.00292426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00422799,"about_ca_topic_score_gemma":0.004084022,"domain_scores_codex":[0.9930848,0.002497109,0.000277452,0.0009358073,0.002359103,0.0008457907],"domain_scores_gemma":[0.9609177,0.03169548,0.002038297,0.001545994,0.003100491,0.0007019009],"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":[0.0001908245,0.0002045415,0.001389179,0.0005019531,0.0001208395,0.000225686,0.0002524764,0.5832315,0.002954578,0.3522743,0.004991993,0.05366223],"study_design_scores_gemma":[0.00001384574,0.00004397541,0.0001972789,0.00006219853,0.00002768487,0.00004172631,0.0000316483,0.8772914,0.0007919539,0.1198737,0.001606858,0.00001779793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01012103,0.001892658,0.974712,0.001024862,0.0001569935,0.00009593953,0.00029182,0.0002590627,0.01144578],"genre_scores_gemma":[0.5314914,0.006702495,0.4446606,0.001744344,0.001076731,0.0009412207,0.001571156,0.000707588,0.01110454],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008197523,"threshold_uncertainty_score":0.04335314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04194404882473119,"score_gpt":0.2814527182605507,"score_spread":0.2395086694358196,"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."}}