{
  "id": 6415,
  "url": "https://arxiv.org/abs/2604.02694v1",
  "title": "DocShield: Towards AI Document Safety via Evidence-Grounded Agentic Reasoning",
  "summary": "The rapid progress of generative AI has enabled increasingly realistic text-centric image forgeries, posing major challenges to document safety. Existing forensic methods mainly rely on visual cues and lack evidence-based reasoning to reveal subtle text manipulations. Detection, localization, and explanation are often treated as isolated tasks, limiting reliability and interpretability. To tackle these challenges, we propose DocShield, the first unified framework formulating text-centric forgery",
  "authors": "Fanwei Zeng, Changtao Miao, Jing Huang, Zhiya Tan, Shutao Gong, Xiaoming Yu et al.",
  "category": "research",
  "topics": "safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-03T03:38:58.000Z",
  "fetched_at": "2026-07-14T16:32:28.610Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6415",
  "original_url": "https://arxiv.org/abs/2604.02694v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}