{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001901324,0.001317181,0.00235107,0.0003275171,0.000441493,0.0004842357,0.005003103,0.001070863,0.0001258068],"category_scores_gemma":[0.0004721835,0.001426933,0.001344677,0.001161091,0.0002058845,0.0005090302,0.002535288,0.00131135,0.0001756648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005245745,"about_ca_system_score_gemma":0.001232595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008571082,"about_ca_topic_score_gemma":0.0001423346,"domain_scores_codex":[0.9910337,0.0006114299,0.002704173,0.002887103,0.0009770057,0.001786537],"domain_scores_gemma":[0.9898987,0.001937853,0.002059093,0.004598124,0.001041258,0.0004649886],"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":[0.000929597,0.001161235,0.03372592,0.001476532,0.001289881,0.00004875791,0.0006316458,0.857932,0.0003347753,0.005433862,0.005712525,0.09132332],"study_design_scores_gemma":[0.006033131,0.001520823,0.02767879,0.004011746,0.0004850171,0.000003842827,0.00005500382,0.7912739,0.001370416,0.001163896,0.1644617,0.001941698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1334871,0.009181955,0.8346244,0.0005748687,0.01242166,0.006910669,0.0009514714,0.0003030995,0.001544703],"genre_scores_gemma":[0.9812086,0.001923918,0.001408235,0.000696099,0.0007204593,0.002722554,0.0003337001,0.00007770275,0.01090877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8477214,"threshold_uncertainty_score":0.999958,"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."}}