SOURCE-LINKED INTELLIGENCE
PIVOT: Physics-Grounded Verification for AI-Generated Audio-Video Detection
As generative models continue to advance, AI-generated content (AIGC) is becoming increasingly realistic, weakening the artifact cues commonly exploited by existing detectors. Nevertheless, faithfully reproducing the physical behavior of real-world events remains challenging for current generators. We therefore explore detecting AIGC by assessing whether the depicted event satisfies measurable constraints derived from physical laws. We introduce PIVOT, a physics-grounded AIGC detector, instantiated here for audio-video clips, that estimates physical quantities from video and audio, selects phy
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-14T13:41:54.000Z
First collected: 2026-09-20T09:41:04.278Z. This is not the publication date.