ProAR: Learning Prospective Reasoning with Autoregressive Video Models
- 类型：arxiv
- 标识：2610.03664
- 链接：https://arxiv.org/abs/2610.03664
- 主分类：multimodal
- 形态：method
- TLDR：Autoregressive (AR) video models excel at causal generation, but their reliance on next-chunk prediction confines them to a short-sighted, reactive paradigm. This limitation is particularly consequential for reasoning-oriented generation, where achieving a target outcome through valid intermediate states matters more than local visual plausibility. To address this challenge, we propose Learning Prospective Reasoning with Autoregressive Video Models (ProAR), a novel framework that transforms autoregressive video generation into a goal-oriented reasoning process. ProAR introduces two key compone
- 待LLM分类：否
- 来源文件：
- /inbox/tom/_candidates/2026-10-05-agent-rag-longcontext-candidates.json