arXiv cs.AI· Zhixin Zeng, Jiahao Zhong·· 14 小时前AI 评分38
Cassette-Editor：像你一样剪辑的视频编辑智能体
Cassette-Editor: A Video Editing Agent That Edits the Way You Do
AI 导读
Cassette-Editor 是一个视频编辑智能体，只用一个工具读取项目、一个工具写入项目，所有写入都经过与用户手动编辑相同的执行器、规则和提交服务，要么原子提交，要么被拒绝并给出定位诊断和修复选项。在受控实验中，真实模型面对 277 条被破坏的自身已提交编辑，几乎全部纠正；定位问题使一次纠正所需输入 token 降至不到一半，且其纠正在一个案例中丢弃了模型写入的其他值，而非七个。
正文 · 原文
Abstract:Language agents increasingly work by calling tools on a persistent artifact, such as a code repository, and the result of each call shapes their next step. Video editing is a demanding case of this pattern: what a frame shows depends on how every clip is trimmed, retimed, cropped, and nested, so knowledge about the footage holds only for particular uses of it, and an invalid edit can leave the timeline structurally broken. Existing video editing agents keep their edits valid with critic agents, reviewers, or restricted output formats. We present Cassette-Editor, a video editing agent with a deliberately simple interface: one tool reads the project and one tool writes to it. Every write passes through the same executor, rules, and commit service as the user's manual edits, and either commits atomically or is rejected with located diagnostics and repair options, while the model keeps the creative choices and decides how to recover. Reads relate stored analysis of the footage to each use of it on the timeline. In a controlled experiment, a real model is shown 277 of its own committed edits after damaging them. It corrected nearly every call with full or minimal feedback, but locating each problem cut the input tokens a correction needed to less than half, and its corrections dropped other values the model had written in one case rather than seven.
| Comments: | 8 pages, 4 figures, 2 tables. Preprint; evaluation to be extended in a future version |
| Subjects: | Multimedia (cs.MM); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.37690 [cs.MM] |
| (or arXiv:2610.37690v1 [cs.MM] for this version) | |
| https://doi.org/10.48550/arXiv.2610.37690 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Zhixin Zeng [view email]
[v1]
Mon, 19 Oct 2026 14:27:55 UTC (415 KB)
来源：arXiv cs.AI · arxiv.org