{"id":"W4414834436","doi":"10.48550/arxiv.2502.15746","title":"CacheMamba: Popularity Prediction for Mobile Edge Caching Networks via Selective State Spaces","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Popularity; Enhanced Data Rates for GSM Evolution; Latency (audio); Mobile edge computing; Benchmark (surveying); Mobile device; Edge device; State (computer science)","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":[],"category_scores_codex":[0.0006737879,0.0004371741,0.0005212087,0.000197566,0.0004346647,0.0002837476,0.001086303,0.0003644619,0.000001622344],"category_scores_gemma":[0.00008038559,0.0004556269,0.0003460517,0.0002917,0.0000436326,0.0003528187,0.001434496,0.001274564,0.00000700337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003279875,"about_ca_system_score_gemma":0.0002412969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001961165,"about_ca_topic_score_gemma":0.0002530366,"domain_scores_codex":[0.9973179,0.0001835978,0.0004608858,0.001215899,0.0002639674,0.0005577547],"domain_scores_gemma":[0.9980487,0.0002022646,0.0003159674,0.001003804,0.0002996507,0.0001296409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001856539,0.0005681465,0.4763849,0.0007654243,0.001120377,0.00004446543,0.003608753,0.4585282,0.001096251,0.001047642,0.008678955,0.04797117],"study_design_scores_gemma":[0.0006511227,0.000212162,0.03504192,0.0004130974,0.0001581119,0.00001152485,0.00005322032,0.9576535,0.0007848597,0.002746568,0.001515704,0.0007582154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3682027,0.0009064875,0.6264361,0.0001625264,0.00271744,0.0008512224,0.0000769261,0.0004444531,0.0002021954],"genre_scores_gemma":[0.9955379,0.0001213267,0.001379389,0.0002534516,0.000471527,0.0005049928,0.0001350911,0.00002428531,0.001572042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6273352,"threshold_uncertainty_score":0.9997895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709163466736792,"score_gpt":0.2626799720653764,"score_spread":0.2355883373980084,"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."}}