{"id":"W7106207613","doi":"","title":"Diffusion As Self-Distillation: End-to-End Latent Diffusion In One Model","year":2025,"lang":"","type":"article","venue":"ArXiv.org","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Diffusion; Modular design; Unification; Key (lock); Modularity (biology); Stability (learning theory); Component (thermodynamics); Analogy","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":[0.001312633,0.0009466147,0.0008331053,0.0003363685,0.0004916771,0.0008009116,0.001987965,0.001412864,0.002295943],"category_scores_gemma":[0.00372654,0.0006559154,0.0006200726,0.0003614784,0.001327774,0.003431502,0.002515905,0.003512111,0.0007814253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009471718,"about_ca_system_score_gemma":0.001149378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003491674,"about_ca_topic_score_gemma":0.006011873,"domain_scores_codex":[0.9995602,0.0001298295,0.00001922285,0.0001541363,0.00007679337,0.00005987768],"domain_scores_gemma":[0.9988262,0.000517158,0.00008383074,0.0003279606,0.0001464088,0.0000983956],"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":[0.0004262003,0.0002365323,0.001470844,0.0001766754,0.00009911953,0.0001469106,0.0003328185,0.6812823,0.02807891,0.06040784,0.005809958,0.221532],"study_design_scores_gemma":[0.00001069861,0.00002378347,0.00004638648,0.000003654928,0.000004528794,0.00001665724,0.000005957429,0.9869697,0.003817763,0.008622831,0.0004708575,0.000007120643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03081808,0.0001767744,0.9641508,0.000407352,0.00004890049,0.0000450903,0.00007545481,0.002594568,0.001682992],"genre_scores_gemma":[0.7007183,0.0001887853,0.2904658,0.0004272012,0.00005155392,0.0001688166,0.0004133179,0.0006110181,0.006955225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003491674,"threshold_uncertainty_score":0.007680714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04251406848256258,"score_gpt":0.2724077952801043,"score_spread":0.2298937267975418,"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."}}