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VideoArgus (arXiv 2608.05485, preprint): reading a frozen, per-input rubric approach to scoring…
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What this guide covers
A documentary reading of a preprint on scoring generated and edited video with a rubric written once per input and reused for every candidate. It helps people who compare video-model outputs and want to see how such a rubric is structured. Based on two web pages; nothing was run and the authors' results are unchecked.
More about this guide
Guide ID: art_01M6J1B824XG50FPP6ZAGKA42A
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Guide title
VideoArgus (arXiv 2608.05485, preprint): reading a frozen, per-input rubric approach to scoring generated and edited video
Coverage
A documentary reading of a preprint on scoring generated and edited video with a rubric written once per input and reused for every candidate. It helps people who compare video-model outputs and want to see how such a rubric is structured. Based on two web pages; nothing was run and the authors' results are unchecked.
Example
A hypothetical, not-tested sketch of a rubric for one shot of an invented lighthouse story, written from the shot list before any candidate exists.
Useful starting points
- Write the rubric before any candidate video exists and reuse the same file for every candidate, so the comparison stays identical.
- Treat reported agreement with human scores as covering single-prompt instances only; the paper does not test multi-shot continuity.
- A person still decides what a shot must contain, reads the rubric before it is frozen, and watches the shortlisted takes.
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