{"id":"W4406110875","doi":"10.1109/tac.2025.3526002","title":"Securing Mobile Robotic Networks Against Replacement Attack","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Controllability; Robot; Leverage (statistics); Computer science; Mobile robot; Perspective (graphical); Topology (electrical circuits); Polygon (computer graphics); Network topology; Distributed computing; Computer network; Engineering; Artificial intelligence; 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":[0.0004726282,0.0004528268,0.0004513692,0.0003706303,0.0003876816,0.0005700747,0.0006081426,0.0006115218,0.0006275023],"category_scores_gemma":[0.002000632,0.0001531608,0.0003289046,0.0001775444,0.0007516358,0.001114271,0.001282434,0.0004873512,0.0002000545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002603743,"about_ca_system_score_gemma":0.0003136242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003411773,"about_ca_topic_score_gemma":0.0002526426,"domain_scores_codex":[0.9993162,0.0001916109,0.00003919978,0.0001161427,0.0002549491,0.00008195257],"domain_scores_gemma":[0.9992669,0.0002153598,0.0002308602,0.0001576753,0.00008592704,0.00004329618],"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":[0.0003664599,0.00006459346,0.003375528,0.0002812241,0.00006610003,0.001158146,0.0005089228,0.5993459,0.1399847,0.07510401,0.001291821,0.1784526],"study_design_scores_gemma":[0.0000206463,0.0003377473,0.0008140208,0.00002006656,0.00002282404,0.0005295326,0.0001266073,0.9612031,0.02270502,0.009597506,0.004605296,0.00001766954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1136695,0.0003883468,0.8807685,0.0001539021,0.00005325293,0.00005730886,0.00001451814,0.0004086295,0.004486173],"genre_scores_gemma":[0.9801829,0.0001671859,0.01880309,0.00002806246,0.00001677744,0.00003490552,0.00001717153,0.00001019001,0.0007396278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006275023,"threshold_uncertainty_score":0.00249958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085986855028318,"score_gpt":0.251145663702675,"score_spread":0.2402857951523918,"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."}}