{
  "id": 588,
  "url": "https://arxiv.org/abs/2606.26535v1",
  "title": "From Hallucination to Grounding: Diagnosing Visual Spatial Intelligence via CRISP",
  "summary": "Current VLM evaluations often conflate language priors with genuine spatial reasoning. To address this, we introduce CRISP, a novel structural-diagnostic evaluation paradigm that assesses visual spatial intelligence through consistency, the alignment between implicit perception and explicit reasoning. Unlike traditional black-box QA, CRISP utilizes metric 3D Scene Graphs and an oracle intervention protocol to decouple latent reasoning capabilities from perceptual bottlenecks. This granular diagn",
  "authors": "Zhixing Li, Yinan Yu",
  "category": "research",
  "topics": "safety-alignment,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-25T02:18:38.000Z",
  "fetched_at": "2026-07-14T14:14:37.250Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/588",
  "original_url": "https://arxiv.org/abs/2606.26535v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}