{"id":"W6966557460","doi":"10.4230/lipics.sand.2025.12","title":"Restless Exploration and Token Dissemination in Vertex-Permuted Temporal Graphs","year":2025,"lang":"en","type":"article","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Security token; Graph; Vertex (graph theory); Class (philosophy); Topological graph theory; Graph property; Base (topology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000530916,0.0002647222,0.00033338,0.0004467071,0.0002229409,0.0004205775,0.0005659345,0.000199401,0.000005184434],"category_scores_gemma":[0.00002824697,0.0002500305,0.00008231716,0.0006277027,0.00008567183,0.002368743,0.0002822421,0.0002700362,0.00001020491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007850239,"about_ca_system_score_gemma":0.00008775495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002311211,"about_ca_topic_score_gemma":0.00004966741,"domain_scores_codex":[0.9980712,0.00004242827,0.0008739025,0.0002780094,0.000292446,0.0004420129],"domain_scores_gemma":[0.9987974,0.0001791506,0.0002281959,0.0005008354,0.0001718361,0.0001225728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003838754,0.0008329601,0.06225713,0.001244456,0.0001975271,0.00004982096,0.02673697,0.0003318784,0.0001078615,0.3020462,0.04317126,0.5626401],"study_design_scores_gemma":[0.002037938,0.0001193584,0.002937628,0.0004307457,0.00002055774,0.00001566561,0.001052268,0.9677581,0.0001466804,0.01573271,0.009343834,0.0004044795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1061964,0.0000896148,0.8844104,0.001108289,0.0009775376,0.0009128473,0.00007092227,0.0001689284,0.006065106],"genre_scores_gemma":[0.9912808,0.0001070671,0.007060113,0.0006021711,0.00002528211,0.000107467,0.0003868181,0.00001300672,0.0004172974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9674262,"threshold_uncertainty_score":0.9999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362853916385657,"score_gpt":0.2754974677098639,"score_spread":0.2618689285460074,"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."}}