pith:FU7XPACK
LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention
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
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.
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.
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
· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/FU7XPACKNXLBUNFRAE2YEBOQ7T \
| jq -c '.canonical_record' \
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Canonical record JSON
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