{"id":"W4412889737","doi":"10.18653/v1/2025.acl-long.1456","title":"VISA: Retrieval Augmented Generation with Visual Source Attribution","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Attribution; Information retrieval; Artificial intelligence; Psychology; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002845927,0.001753648,0.0009206973,0.00347564,0.0005887353,0.001953436,0.002517261,0.001844168,0.009123472],"category_scores_gemma":[0.0159603,0.000511234,0.001182742,0.001373377,0.001037058,0.003870593,0.004671067,0.001326915,0.00468334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005777585,"about_ca_system_score_gemma":0.001165956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002181191,"about_ca_topic_score_gemma":0.002654753,"domain_scores_codex":[0.9974715,0.0008604995,0.0001812845,0.0005892477,0.000748613,0.000148904],"domain_scores_gemma":[0.9916707,0.003432838,0.0004375961,0.003301402,0.0009229007,0.0002345097],"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":[0.001566488,0.0005779241,0.00507406,0.00169588,0.0002610128,0.0008284138,0.0009055704,0.02688659,0.04898514,0.0141011,0.1056325,0.7934853],"study_design_scores_gemma":[0.0007221777,0.000798857,0.003266007,0.0002589887,0.0002070787,0.001229072,0.0004168653,0.7033001,0.119066,0.04854221,0.1219126,0.0002800639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03391254,0.002163385,0.7053791,0.0007842868,0.0006411163,0.001020361,0.007533674,0.2393293,0.009236235],"genre_scores_gemma":[0.3186225,0.0006172296,0.6397418,0.0008514211,0.0002731381,0.0008136886,0.02406365,0.00630972,0.008706848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009123472,"threshold_uncertainty_score":0.03052104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260602664065077,"score_gpt":0.2947009501624253,"score_spread":0.2820949235217745,"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."}}