AI Papers, November 6, 2026
A 25x speedup for spatial plans from vision-language models, a VLA foundation that learns 3D geometry in pre-training, and an agent trained through scaffolds it never sees in production.
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Every morning we scan the previous day's new AI research and pick the papers worth your time — three per day, each with a short summary so you know what happened in the field without reading fifty abstracts.
A 25x speedup for spatial plans from vision-language models, a VLA foundation that learns 3D geometry in pre-training, and an agent trained through scaffolds it never sees in production.
Read digestThree papers from yesterday's arXiv: RL credit assignment for streaming video, vision-language-action models that stop compressing pixels, and a physics benchmark built by working researchers.
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