GeoWeaver: Grounding Visual Tokens with Geometric Evidence before Scene Reasoning

• URL: http://arxiv.org/abs/2605.22558v1
• Date: Thu, 21 May 2026 14:40:03 GMT
• Title: GeoWeaver: Grounding Visual Tokens with Geometric Evidence before Scene Reasoning
• Abstract summary: multimodal models incorporate geometric information branches, 3D-aware supervision, reasoning-stage fusion, or long-horizon memory.<n>These approaches typically treat geometric cues as a shared signal across all visual tokens.<n>We introduce GeoWeaver, a framework that treats geometry as a representational prerequisite fortemporal reasoning.
• Score: 45.229974852899716
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Spatio-temporal reasoning in vision-language models requires visual representations that preserve physical geometry rather than merely semantic appearance. Recent multimodal models incorporate geometric information through structural branches, 3D-aware supervision, reasoning-stage fusion, or long-horizon memory. While these approaches demonstrate the importance of geometry for spatial intelligence, they typically treat geometric cues as a shared signal across all visual tokens. We note that this overlooks a finer-grained challenge: different visual tokens require different geometric evidence depending on their spatial roles. To address this limitation, we introduce GeoWeaver, a pre-reasoning geometric grounding framework that treats geometry as a representational prerequisite for spatio-temporal reasoning. GeoWeaver constructs a multi-level geometry bank from a frozen geometry encoder and performs token-adaptive geometric evidence allocation, enabling each visual token to retrieve the most relevant geometric abstractions. The selected evidence is incorporated into visual tokens via a residual grounding operation prior to language modeling, yielding geometry-grounded representations for downstream reasoning. Extensive evaluations on spatial reasoning benchmarks demonstrate that GeoWeaver consistently enhances geometry-aware reasoning while retaining general multimodal capabilities. This indicates that geometric information yields the greatest benefit not as a late-fusion auxiliary signal but as a fundamental prerequisite that shapes the representational foundation on which large language models perform reasoning. All source code and models will be released at https://github.com/yahooo-m/GeoWeaver .

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