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CutClaw: Agentic Hours-Long Video Editing via Music Synchronization paper by Shifang Zhao
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Paper

CutClaw: Agentic Hours-Long Video Editing via Music Synchronization

by Shifang Zhao arxiv/2603.29664
Free2AITools Nexus Index
35.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 64
Q: Quality 60
Tech Context
Vital Performance —

Editing the video content with audio alignment forms a digital human-made art in current social media. However, the time-consuming and repetitive nature of manual video editing has long been a challenge for filmmakers and professional content creators alike. In this paper, we introduce CutClaw, an autonomous multi-agent framework designed to edit hours-long raw footage into meaningful short videos that leverages the capabilities of multiple Multimodal Language Models~(MLLMs) as an agent syste...

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Registry ID 2603.29664
License arXiv
Provider arxiv
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Academic & Research Attribution

BibTeX 
@misc{arxiv_2603_29664,
  author = {Shifang Zhao},
  title = {CutClaw: Agentic Hours-Long Video Editing via Music Synchronization Paper},
  year = {2026},
  howpublished = {\url{https://arxiv.org/abs/2603.29664}},
  note = {Accessed via Free2AITools.}
}
APA Style
Shifang Zhao. (2026). CutClaw: Agentic Hours-Long Video Editing via Music Synchronization [Paper]. Free2AITools. https://arxiv.org/abs/2603.29664

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βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 0
Recency (R) 64
Quality (Q) 60

πŸ’¬ Index Insight

FNI V2.0 for CutClaw: Agentic Hours-Long Video Editing via Music Synchronization: Authority (A:0), Popularity (P:0), Recency (R:64), Quality (Q:60). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"Editing the video content with audio alignment forms a digital human-made art in current social media. However, the time-consuming and repetitive nature of manual video editing has long been a challenge for filmmakers and professional content creators alike. In this paper, we introduce CutClaw, an autonomous multi-agent framework designed to edit hours-long raw footage into meaningful short videos that leverages the capabilities of multiple Multimodal Language Models~(MLLMs) as an agent syste..."

❝ Cite Node 

@article{Zhao2026CutClaw:,
  title={CutClaw: Agentic Hours-Long Video Editing via Music Synchronization},
  author={Shifang Zhao},
  journal={arXiv preprint arXiv:2603.29664},
  year={2026}
}

πŸ‘₯ Collaborating Minds

Shifang Zhao

πŸ”— Full Paper

Free2AITools indexes the abstract and factual metadata for this paper. Read the complete, authoritative paper on the official source.

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πŸ“Š Research Signals

πŸ“…1970Published
⏱️64RecencyFNI pillar
βœ…60QualityFNI pillar
πŸ—‚οΈcs.CVField

🏷️ Research Topics

audio modelsmultimodalrag retrievalai alignment
πŸ“„ Data Source: arXiv β†—
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πŸ†” Identity & Source

id
2603.29664
slug
2603.29664
source
arxiv
author
Shifang Zhao
license
arXiv
tags
arxiv:cs.CV

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

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