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pith:2026:FU7XPACKNXLBUNFRAE2YEBOQ7T
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LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention

Haopeng Li, Lichen Bai, Shitong Shao, Wenliang Zhong, Yingwei Song, Zeke Xie, Zikai Zhou

In-context Sparse Attention prunes low-saliency context tokens and routes queries by sharpness to cut attention latency by 60 percent while preserving editing quality.

arxiv:2605.04569 v2 · 2026-05-06 · cs.CV

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Claims

C1strongest claim

ISA is the first near-lossless empirical sparse framework tailored for ICL video editing, achieving ~60% reduction in attention-module latency while surpassing state-of-the-art methods across EditVerseBench, IVE-Bench, and VIE-Bench.

C2weakest assumption

That the claimed theoretical proof of query sharpness correlating with approximation error, combined with the empirical pre-selection and dynamic grouping, produces near-lossless results without introducing visual artifacts or requiring per-video retuning on real-world editing tasks.

C3one line summary

ISA prunes low-saliency context tokens and routes queries by sharpness to either full or 0-th order Taylor sparse attention, enabling LIVEditor to cut attention latency ~60% while beating prior video editing methods on three benchmarks.

Receipt and verification
First computed 2026-05-29T02:05:45.907550Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

2d3f77804a6dd61a34b101358205d0fcebbdf8b23733cc50bf1cfaed5661c216

Aliases

arxiv: 2605.04569 · arxiv_version: 2605.04569v2 · doi: 10.48550/arxiv.2605.04569 · pith_short_12: FU7XPACKNXLB · pith_short_16: FU7XPACKNXLBUNFR · pith_short_8: FU7XPACK
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/FU7XPACKNXLBUNFRAE2YEBOQ7T \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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    "submitted_at": "2026-05-06T07:15:29Z",
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