{"id":"W7125651398","doi":"10.1109/cascon66301.2025.00108","title":"Quantum-Guided Test Case Minimization for LLM-Based Code Generation","year":2025,"lang":"","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; Lakehead University","funders":"","keywords":"Minification; Code (set theory); Test (biology); Code generation; Interchangeability","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":[0.0007506183,0.0006532379,0.0006371544,0.001227295,0.0005591055,0.0007712855,0.001307134,0.0007244049,0.006448359],"category_scores_gemma":[0.004785047,0.0003022887,0.0006594581,0.0006788662,0.0008448026,0.0008814738,0.001441392,0.0009354982,0.0008498508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163448,"about_ca_system_score_gemma":0.002095711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002402712,"about_ca_topic_score_gemma":0.005836385,"domain_scores_codex":[0.9985915,0.0004351493,0.00005278023,0.0001460938,0.00056834,0.000206213],"domain_scores_gemma":[0.9969797,0.001612663,0.0002168342,0.0004754015,0.0006188519,0.00009659924],"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":[0.0006798143,0.0004723945,0.002482378,0.0003357061,0.0000840296,0.0003785062,0.0001759668,0.3229222,0.07460589,0.07878364,0.01028054,0.508799],"study_design_scores_gemma":[0.00003850443,0.0001210467,0.0002935898,0.00001560073,0.00001527472,0.00007760517,0.00002056309,0.9605764,0.01406917,0.02373338,0.001027091,0.00001182394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05545213,0.000154419,0.9333592,0.000403591,0.0000418402,0.0001676853,0.0001663661,0.002381436,0.007873359],"genre_scores_gemma":[0.695088,0.00005475568,0.3004358,0.0002983974,0.00002634387,0.0001808193,0.00042983,0.0003952975,0.003090785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006448359,"threshold_uncertainty_score":0.02157193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07892787025691274,"score_gpt":0.3146734517776646,"score_spread":0.2357455815207519,"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."}}