{"total":1,"items":[{"citing_arxiv_id":"2507.01999","ref_index":4,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series","primary_cat":"cs.LG","submitted_at":"2025-07-01T11:10:19+00:00","verdict":"REJECT","verdict_confidence":"MODERATE","novelty_score":4.0,"formal_verification":"none","one_line_summary":"A CWT plus Siamese VGG-16 pipeline separates synthetically induced time-shift and amplitude-shift anomalies from normal semiconductor tool traces with reported 99-100% accuracy.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null}],"limit":50,"offset":0}