{
  "id": 13858725,
  "title": "SpatialASM: Internalizing Active Mentalization for Spatial Reasoning",
  "url": "https://urgent.news/2026/10/09/spatialasm-internalizing-active-mentalization-for-spatial-reasoning",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-09T16:39:50.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.13832v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "When solving complex spatial reasoning tasks, ordinary humans naturally revisit the scenes from task-relevant viewpoints and mentally reconstruct the spatial layouts from those viewpoints. But can Large Vision-Language Models (LVLMs) proactively think in the same way? We term this ability Active Spatial Mentalization (ASM), an intrinsic component of visual intelligence that remains substantially…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}