{
  "id": 6587,
  "url": "https://arxiv.org/abs/2603.28583v1",
  "title": "Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering",
  "summary": "Despite the success of Vision-Language Models (VLMs), misleading charts remain a significant challenge due to their deceptive visual structures and distorted data representations. We present ChartCynics, an agentic dual-path framework designed to unmask visual deception via a \"skeptical\" reasoning paradigm. Unlike holistic models, ChartCynics decouples perception from verification: a Diagnostic Vision Path captures structural anomalies (e.g., inverted axes) through strategic ROI cropping, while ",
  "authors": "Yanjie Zhang, Yafei Li, Rui Sheng, Zixin Chen, Yanna Lin, Huamin Qu et al.",
  "category": "research",
  "topics": "healthcare,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-30T15:32:24.000Z",
  "fetched_at": "2026-07-14T16:32:37.307Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6587",
  "original_url": "https://arxiv.org/abs/2603.28583v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}