{
  "id": 19066,
  "url": "https://arxiv.org/abs/2608.12086v1",
  "title": "Look What the Probes Dragged In! Real-World Chest X-ray Shortcuts in MedCLIP",
  "summary": "Vision-language models, such as contrastive language-image pre-training (CLIP)-based approaches, have reached state-of-the-art (SOTA) results in medical artificial intelligence. However, recent work reveals that CLIP-based models remain vulnerable to shortcuts. We investigate how real-world shortcuts manifest across different layers of the medical CLIP-based model, MedCLIP, and its vision encoder, a frozen ResNet-50. We attach 17 linear classification probes to the intermediate layers of the Res",
  "authors": "Nikolette Pedersen, Regitze Sydendal, Veronika Cheplygina, Théo Sourget",
  "category": "research",
  "topics": "healthcare,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-12T14:08:52.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "arxiv-cslg",
  "source_name": "arXiv cs.LG",
  "source_homepage": "https://arxiv.org/list/cs.LG/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/19066",
  "original_url": "https://arxiv.org/abs/2608.12086v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}