{
  "id": 6874,
  "url": "https://arxiv.org/abs/2603.21610v2",
  "title": "Rule-State Inference (RSI): A Bayesian Framework for Compliance Monitoring in Rule-Governed Domains",
  "summary": "Compliance monitoring in rule-governed domains (tax administration, clinical protocol adherence, environmental regulation) faces three structural obstacles that standard machine learning does not simultaneously address: the absence of labeled outcomes at deployment, strategically missing observations where non-compliant entities selectively withhold evidence, and a regulatory environment that changes faster than any supervised model can be retrained. We introduce Rule-State Inference (RSI), a Ba",
  "authors": "Abdou-Raouf Atarmla",
  "category": "research",
  "topics": "regulation,healthcare,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-23T06:12:52.000Z",
  "fetched_at": "2026-07-14T16:32:50.143Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6874",
  "original_url": "https://arxiv.org/abs/2603.21610v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}