{"slug": "spatial-harness-grounding-spatial-reasoning-in-executable-world-states-with", "title": "Spatial Harness: Grounding Spatial Reasoning in Executable World States with Physics Engines", "summary": "A paper titled \"Spatial Harness: Grounding Spatial Reasoning in Executable World States with Physics Engines\" proposes grounding vision-language models' spatial reasoning in executable world states built with physics engines rather than model-internal inference. The work targets a known weakness: VLMs typically perform both scene interpretation and viewpoint-change reasoning internally, forming an implicit scene interpretation from partial views. The paper's authors and institution are not identified in the available text.", "body_md": "Spatial reasoning requires understanding how objects and observers are arranged in a scene and how their relations change with viewpoint or movement. Vision-language models (VLMs) typically perform both steps through model-internal reasoning, forming an implicit scene interpretation from partial vie", "url": "https://wpnews.pro/news/spatial-harness-grounding-spatial-reasoning-in-executable-world-states-with", "canonical_source": "https://aiflash.com/news/149090/", "published_at": "2026-11-10 10:00:08+00:00", "updated_at": "2026-11-10 10:22:48.624686+00:00", "lang": "en", "topics": ["artificial-intelligence", "computer-vision", "ai-research", "large-language-models"], "entities": [], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/spatial-harness-grounding-spatial-reasoning-in-executable-world-states-with", "markdown": "https://wpnews.pro/news/spatial-harness-grounding-spatial-reasoning-in-executable-world-states-with.md", "text": "https://wpnews.pro/news/spatial-harness-grounding-spatial-reasoning-in-executable-world-states-with.txt", "jsonld": "https://wpnews.pro/news/spatial-harness-grounding-spatial-reasoning-in-executable-world-states-with.jsonld"}}