{"paper":{"title":"Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.RO","authors_text":"Boris Ivanovic, Boyi Li, Dongran Liu, Ed Schmerling, Eric Yang, Greg Heinrich, Jack Huang, Jason Lu, Jenna Diamond, Junjie Bai, Ke Chen, Langechuan Liu, Liang Feng, Lindsey Pavao, Marco Pavone, Mike Ranzinger, Ming-Yu Liu, NVIDIA: Yan Wang, Pavlo Molchanov, Peter Karkus, Pinyi Li, Ran Tian, Sarah Tariq, Shida Shen, Tianjun Xiao, Tilman Wekel, Tong Che, Tsung-Yi Lin, Wenhao Ding, Wenjie Luo, Wenyuan Zhang, Xiaodong Yang, Xiaohui Zeng, Xinshuo Weng, Yifan Ding, Yulong Cao, Yunfei Shi, Yunxiang Mao, Yurong You, Yuxiao Chen, Zhenghao Peng, Zhijian Liu","submitted_at":"2025-10-30T01:25:34Z","abstract_excerpt":"End-to-end architectures trained via imitation learning have advanced autonomous driving by scaling model size and data, yet performance remains brittle in safety-critical long-tail scenarios where supervision is sparse and causal understanding is limited. We introduce Alpamayo-R1 (AR1), a vision-language-action model (VLA) that integrates Chain of Causation reasoning with trajectory planning for complex driving scenarios. Our approach features three key innovations: (1) the Chain of Causation (CoC) dataset, built through a hybrid auto-labeling and human-in-the-loop pipeline producing decision"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.00088","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}