{
  "id": 6541,
  "url": "https://arxiv.org/abs/2603.29741v1",
  "title": "BotVerse: Real-Time Event-Driven Simulation of Social Agents",
  "summary": "BotVerse is a scalable, event-driven framework for high-fidelity social simulation using LLM-based agents. It addresses the ethical risks of studying autonomous agents on live networks by isolating interactions within a controlled environment while grounding them in real-time content streams from the Bluesky ecosystem. The system features an asynchronous orchestration API and a simulation engine that emulates human-like temporal patterns and cognitive memory. Through the Synthetic Social Observa",
  "authors": "Edoardo Allegrini, Edoardo Di Paolo, Angelo Spognardi, Marinella Petrocchi",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-31T13:39:09.000Z",
  "fetched_at": "2026-07-14T16:32:33.102Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6541",
  "original_url": "https://arxiv.org/abs/2603.29741v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}