{
  "id": 929,
  "url": "https://arxiv.org/abs/2606.17340v1",
  "title": "Geometry-Consistent Endoscopic Representations for Image-Guided Navigation via Structured Foundation Model Adaptation",
  "summary": "Accurate vision-based navigation in monocular endoscopy is difficult due to limited depth cues, weak tissue texture, non-rigid deformation, and substantial appearance variation across domains, all of which complicate pose estimation, depth prediction, and image-to-anatomy alignment. Although recent vision foundation models have shown promise, their learned representations often remain insufficiently geometry-consistent, hindering stable feature correspondence and limiting their reliability for d",
  "authors": "Hongchao Shu, Roger D. Soberanis-Mukul, Hao Ding, Morgan Ringel, Mali Shen, Saif Iftekar Sayed et al.",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-15T22:41:28.000Z",
  "fetched_at": "2026-07-14T14:14:54.532Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/929",
  "original_url": "https://arxiv.org/abs/2606.17340v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}