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SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning research paper by NVIDIA, 2026

NVIDIA · Jun 11, 2026 · Agents and evaluation · 7 citations · 113 upvotes · unverified

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What it shows

SpatialClaw is a training-free framework that uses code as an action interface to enable flexible, stateful spatial reasoning in vision-language models, achieving superior performance across diverse 3D/4D spatial reasoning tasks.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Seokju Cho, Ryo Hachiuma, Abhishek Badki and 8 more
arXiv
2606.13673 · PDF
Venue
arXiv.org
Citations
7, 0 influential · Semantic Scholar
Upvotes
113 · Hugging Face
Code
github.com/NVlabs/SpatialClaw
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 7Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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