{"id":"W7160031978","doi":"10.1109/iccv51701.2025.00592","title":"Mamba-3VL: Taming State Space Model for 3D Vision Language Learning","year":2025,"lang":"","type":"article","venue":"","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"State (computer science); Space (punctuation); Feature (linguistics); Natural language; State space; Key (lock)","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":[0.000732687,0.0006287936,0.0007737849,0.0002968201,0.0004203452,0.0008215111,0.00168879,0.001278527,0.005667772],"category_scores_gemma":[0.002516706,0.0004292439,0.0007782451,0.0003153867,0.0004953822,0.001055962,0.001842538,0.002158385,0.001984973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005526093,"about_ca_system_score_gemma":0.00109657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007415295,"about_ca_topic_score_gemma":0.0108587,"domain_scores_codex":[0.9996684,0.00009327276,0.00001453923,0.00007986788,0.0001041682,0.00003979155],"domain_scores_gemma":[0.9994942,0.0001969537,0.00002800931,0.0001286726,0.000118485,0.00003373419],"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":[0.0006848464,0.0002377489,0.001499376,0.0002752738,0.0001807788,0.0001460223,0.0002495094,0.5662212,0.03281318,0.04324025,0.01482912,0.3396227],"study_design_scores_gemma":[0.000008854922,0.00003058542,0.00005756002,0.000004727284,0.000005209707,0.000008716826,0.000005748133,0.9898549,0.003417946,0.004954405,0.001644102,0.000007205045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00495884,0.00008565524,0.9873264,0.0001211494,0.00006728846,0.00002808252,0.0001945775,0.006540186,0.0006777422],"genre_scores_gemma":[0.4950234,0.0002257954,0.4935897,0.0005206841,0.00005289867,0.000439455,0.00166657,0.001362786,0.007118736],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007415295,"threshold_uncertainty_score":0.0189606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009304892235748189,"score_gpt":0.3258236920357837,"score_spread":0.3165187998000354,"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."}}