{"total":32,"rows":[{"id":"2601.05083","title":"Driving on Registers","created":"2026-01-08","cited_by_count":44,"area":"driving"},{"id":"2603.29163","title":"SparseDriveV2: Scoring is All You Need for End-to-End Autonomous Driving","created":"2026-03-31","cited_by_count":26,"area":"driving"},{"id":"2506.09800","title":"Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving","created":"2025-06-11","cited_by_count":19,"area":"driving"},{"id":"2507.17596","title":"PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving","created":"2025-07-23","cited_by_count":16,"area":"driving"},{"id":"2510.24108","title":"Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer","created":"2025-10-28","cited_by_count":16,"area":"driving"},{"id":"2510.08562","title":"ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving","created":"2025-10-09","cited_by_count":14,"area":"driving"},{"id":"2508.09158","title":"EvaDrive: Evolutionary Adversarial Policy Optimization for End-to-End Autonomous Driving","created":"2025-08-05","cited_by_count":12,"area":"driving"},{"id":"2605.15120","title":"CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning","created":"2026-05-14","cited_by_count":11,"area":"driving"},{"id":"2602.18887","title":"SafeDrive: Fine-Grained Safety Reasoning for End-to-End Driving in a Sparse World","created":"2026-02-21","cited_by_count":8,"area":"driving"},{"id":"2606.07170","title":"Test-Time Trajectory Optimization for Autonomous Driving","created":"2026-06-05","cited_by_count":7,"area":"driving"},{"id":"2604.03581","title":"HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving","created":"2026-04-04","cited_by_count":4,"area":"driving"},{"id":"2609.06055","title":"DriveZero: End-to-End Driving Beyond Human Demonstrations","created":"2026-09-05","cited_by_count":3,"area":"driving"},{"id":"2510.17191","title":"SimpleVSF: VLM-Scoring Fusion for Trajectory Prediction of End-to-End Autonomous Driving","created":"2025-10-20","cited_by_count":2,"area":"driving"},{"id":"2605.04470","title":"CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies","created":"2026-05-06","cited_by_count":2,"area":"driving"},{"id":"2606.06219","title":"CLEAR: Cognition and Latent Evaluation for Adaptive Routing in End-to-End Autonomous Driving","created":"2026-06-04","cited_by_count":2,"area":"driving"},{"id":"2606.08525","title":"DriveReward: A Comprehensive Dataset and Generative Vision-Language Reward Model for Autonomous Driving","created":"2026-06-07","cited_by_count":2,"area":"driving"},{"id":"2606.31830","title":"PriorEye: Geospatial Visual Priors for End-to-End Autonomous Driving","created":"2026-06-30","cited_by_count":2,"area":"driving"},{"id":"2512.10660","title":"Closing the Navigation Compliance Gap in End-to-end Autonomous Driving","created":"2025-12-11","cited_by_count":1,"area":"driving"},{"id":"2602.12563","title":"The Constant Eye: Benchmarking and Bridging Appearance Robustness in Autonomous Driving","created":"2026-02-13","cited_by_count":0,"area":"driving"},{"id":"2606.30807","title":"Off the Rails: Hijacking the Scoring Head in Generative End-to-End Driving Planners with Safety-Violating Adversarial Perturbations","created":"2026-06-29","cited_by_count":0,"area":"driving"},{"id":"2607.06328","title":"Driving the Wrong Way: Leveraging Interpretability in End2End Autonomous Driving Models","created":"2026-07-07","cited_by_count":0,"area":"driving"},{"id":"2607.23511","title":"MOJITO: Modal Joint Learning for Unified End-to-End Autonomous Driving","created":"2026-07-26","cited_by_count":0,"area":"driving"},{"id":"2608.18035","title":"Plug-and-Play Traffic Element Awareness for End-to-End Autonomous Driving","created":"2026-08-18","cited_by_count":0,"area":"driving"},{"id":"2608.29005","title":"A Degradation-Tolerance Benchmark for Camera-Only End-to-End Driving","created":"2026-08-29","cited_by_count":0,"area":"driving"},{"id":"2609.01799","title":"Designing Versatile Samples for Learned Trajectory Scoring","created":"2026-09-01","cited_by_count":0,"area":"driving"},{"id":"2609.26618","title":"NavSafe-$\\infty$: Benchmarking Closed-Loop Driving Safety in Photorealistic Environments","created":"2026-09-22","cited_by_count":0,"area":"driving"},{"id":"2609.30818","title":"Evaluation Is All You Need for Multi-Modal Autonomous Driving","created":"2026-09-25","cited_by_count":0,"area":"driving"},{"id":"2609.31374","title":"RECAST: From Log Replay to Closed-Loop Driving Simulation with View-Complete Actors","created":"2026-09-25","cited_by_count":0,"area":"driving"},{"id":"2609.34440","title":"When the Score Becomes the Target: Rethinking Metric Validity in Autonomous Driving","created":"2026-09-28","cited_by_count":0,"area":"driving"},{"id":"2610.13232","title":"FPD-Drive: Future Policy Distillation for End-to-End Autonomous Driving","created":"2026-10-09","cited_by_count":0,"area":"driving"},{"id":"2610.14802","title":"YOUDrive: Driving Style as a Composable Direction for End-to-End Autonomous Driving","created":"2026-10-10","cited_by_count":0,"area":"driving"},{"id":"2610.16908","title":"ConDenseDrive: Knowledge-Dense, Token-Sparse Visual Encoder for End-to-End Autonomous Driving","created":"2026-10-12","cited_by_count":0,"area":"driving"}],"next_cursor":null}