{"id":"W7131063257","doi":"10.1109/iccvw69036.2025.00671","title":"Tuning-Free Multi-Event Long Video Generation via Synchronized Coupled Sampling","year":2025,"lang":"","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Coherence (philosophical gambling strategy); Sampling (signal processing); Noise reduction; Consistency (knowledge bases); Inference; Focus (optics); Video denoising; Synchronization (alternating current); Baseline (sea)","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":[0.0009571165,0.0006250491,0.0007163783,0.0005660019,0.0004853461,0.0003774014,0.001650731,0.0005326826,0.0007479512],"category_scores_gemma":[0.0004160327,0.0007630705,0.0002743081,0.0008889457,0.0001262653,0.0005067354,0.001067891,0.0008758146,0.00008101602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004267,"about_ca_system_score_gemma":0.0001918694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005842383,"about_ca_topic_score_gemma":0.001412469,"domain_scores_codex":[0.9966175,0.0002309103,0.001415429,0.0006541443,0.0004123199,0.0006696709],"domain_scores_gemma":[0.9956956,0.0003639049,0.0002132336,0.003153815,0.0004045273,0.0001688987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001008164,0.001346573,0.001696665,0.001877361,0.001681298,0.00002238251,0.002962063,0.1723327,0.6436603,0.040378,0.009364191,0.1245776],"study_design_scores_gemma":[0.001798042,0.00003316582,0.0007224492,0.000505977,0.0001219794,0.000004625993,0.00006863824,0.9451055,0.04771717,0.0004602195,0.002818667,0.0006435944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02012434,0.006806607,0.9663765,0.001247407,0.0008074871,0.001215063,0.0000117823,0.001927728,0.00148311],"genre_scores_gemma":[0.8166958,0.002143646,0.1794505,0.0002594705,0.0001399499,0.0002140628,0.0001018774,0.0000950219,0.0008996996],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7965715,"threshold_uncertainty_score":0.999482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03506047145833008,"score_gpt":0.3052437598808508,"score_spread":0.2701832884225207,"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."}}