{"id":"W4417291496","doi":"10.48550/arxiv.2512.09495","title":"On Mobile Ad Hoc Networks for Coverage of Partially Observable Worlds","year":2025,"lang":"","type":"preprint","venue":"ArXiv.org","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Observability; Guard (computer science); Wireless ad hoc network; Observable; Scheme (mathematics); Planner; Constellation; Crowdsensing; Mobile ad hoc network","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":[0.001244246,0.001203671,0.000872696,0.001006708,0.0008402842,0.001657604,0.001472192,0.00133358,0.002861817],"category_scores_gemma":[0.007071964,0.0005192069,0.0007119013,0.001699016,0.00206858,0.002801516,0.002244982,0.001720914,0.0004279157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186218,"about_ca_system_score_gemma":0.001120703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004104351,"about_ca_topic_score_gemma":0.004294381,"domain_scores_codex":[0.9987974,0.0005059136,0.00005815507,0.0001911533,0.000357667,0.0000897442],"domain_scores_gemma":[0.9967009,0.002422532,0.00029151,0.0003175321,0.0001870576,0.00008048683],"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":[0.00003682186,0.00001688721,0.0004060361,0.0001055684,0.00002623083,0.0001020608,0.00008089016,0.8997047,0.0005498145,0.076791,0.00150465,0.02067536],"study_design_scores_gemma":[0.0000148203,0.000023927,0.0001300576,0.00002098956,0.000005835399,0.00004222403,0.0000322573,0.939518,0.0002623289,0.05624138,0.003701453,0.000006690113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01508632,0.001953789,0.9734572,0.001190459,0.0001289291,0.00008431529,0.0001427685,0.0002716008,0.00768459],"genre_scores_gemma":[0.7204064,0.00461787,0.265974,0.0003206623,0.000356983,0.0005496189,0.0004936543,0.0001652901,0.007115541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004104351,"threshold_uncertainty_score":0.009573758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04309631915761608,"score_gpt":0.2792844897956125,"score_spread":0.2361881706379965,"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."}}