{
  "id": 7089,
  "url": "https://arxiv.org/abs/2604.18589v1",
  "title": "CentaurTA Studio: A Self-Improving Human-Agent Collaboration System for Thematic Analysis",
  "summary": "Thematic analysis is difficult to scale: manual workflows are labor-intensive, while fully automated pipelines often lack controllability and transparent evaluation. We present \\textbf{CentaurTA Studio}, a web-based system for self-improving human--agent collaboration in open coding and theme construction. The system integrates (1) a two-stage human feedback pipeline separating simulator drafting and expert validation, (2) persistent prompt optimization that distills validated feedback into reus",
  "authors": "Lei Wang, Min Huang, Eduard Dragut",
  "category": "research",
  "topics": "jobs-economy,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-18T02:01:28.000Z",
  "fetched_at": "2026-07-14T16:32:59.164Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7089",
  "original_url": "https://arxiv.org/abs/2604.18589v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}