{"total":1,"items":[{"citing_arxiv_id":"2608.01807","ref_index":15,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Parameter-Dynamic Adaptive Fusion and Calibration Network for RGBT Tracking","primary_cat":"cs.CV","submitted_at":"2026-08-03T07:15:57+00:00","verdict":"CONDITIONAL","verdict_confidence":"MODERATE","novelty_score":6.0,"formal_verification":"none","one_line_summary":"PAFCNet dynamically generates target-conditioned parameters for multimodal fusion and spatio-temporal calibration in RGBT tracking, achieving competitive benchmark results.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null}],"limit":50,"offset":0}