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arXiv:cs.AI· Xiaofan Wu, Xi Zeng, Miaoxia Chen, Peishan Chen, Shuyan Li, Chen Wang, Xiaohan Wang, Wanling Xu, Jiyun Yao, Hanyong Zhong, Jiahao Zhu·· 16 小时前

相机优先的 AI 智能体应如何工作?论文提出双截止时间架构解决瞬时目标交互问题

How Should a Camera-First AI Agent Work?

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一篇 arXiv 立场论文指出,相机优先 AI 智能体的核心障碍不是识别能力,而是时间——许多视觉目标转瞬即逝。作者将其形式化为瞬时目标交互(ETI)与感知截止时间契约,区分硬性记忆截止时间与软性推理截止时间,并提出双截止时间架构:常开、有界、非语义的快路径,事件驱动的主动记忆机制,以及延迟的多模态模型推理层。

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Authors:Xiaofan Wu, Xi Zeng, Miaoxia Chen, Peishan Chen, Shuyan Li, Chen Wang, Xiaohan Wang, Wanling Xu, Jiyun Yao, Hanyong Zhong, Jiahao Zhu

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Abstract:Camera-first agents must act on the visual world as it unfolds. We argue that the central obstacle for future camera-first agents is not recognition ability - multimodal models (vision-language and live/streaming alike) generalize well through language and remain the right tool for semantic reasoning - but time. Many visual targets are ephemeral: they appear, are query-relevant, and leave within a short window. Binding memory to the same end-to-end path as reasoning means that by the time a monolithic pipeline completes, the evidence is gone. We formalize this as Ephemeral-Target Interaction (ETI) and a Perceptual Deadline Contract separating a hard memory deadline from a soft reasoning deadline, grounded in the bounded, passive nature of sensory and working memory. We propose a two-deadline architecture: an always-on, bounded, non-semantic fast path; an active remembering mechanism that commits a moment to durable memory before it is overwritten (event-driven in v1); and a deferred deliberation layer (multimodal model + tools). We instantiate the contract on real MOT17 track windows, a consistency check, and calibrate the single-path baseline from measured frontier-model latency: even a short answer takes 1.2-9.3 s, and an agentic identify-and-search longer. Answers can be late; evidence cannot be missed.
Comments: 8 pages, 4 figures, 3 tables. Position/contract paper on time-critical camera-first agents (systems/timing).Primary cs.AI;
Subjects: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Logic in Computer Science (cs.LO)
Cite as: arXiv:2610.14772 [cs.AI]
  (or arXiv:2610.14772v2 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2610.14772

arXiv-issued DOI via DataCite

Submission history

From: Xiaofan Wu [view email]
[v1] Sat, 10 Oct 2026 09:53:25 UTC (37 KB)
[v2] Wed, 14 Oct 2026 05:10:05 UTC (37 KB)

来源:arXiv:cs.AI · arxiv.org