{"total":17,"items":[{"citing_arxiv_id":"2605.13646","ref_index":2,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling","primary_cat":"cs.RO","submitted_at":"2026-05-13T15:06:22+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"CaAD adds ego-centric joint-causal modeling and causality-aware policy alignment to end-to-end driving, reporting Driving Score 87.53 and Success Rate 71.81 on Bench2Drive plus PDMS 91.1 on NAVSIM.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.10904","ref_index":25,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent 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