{
  "id": 233,
  "url": "https://arxiv.org/abs/2607.04290v1",
  "title": "Agentic-V2X: Small Language Model Agents for Deadline-Aware V2X Scheduling in 5G/6G Networks",
  "summary": "Large Language Models (LLMs) are proposed as control interfaces for next-generation networks, but their latency, hallucinations, and lack of control guarantees make them unsuitable for near-real-time packet schedulers, especially in dynamic V2X environments. This paper introduces Agentic-V2X, an architecture where a small, locally deployed language model acts as a periodic non-real-time rApp-inspired policy creator, while a lightweight xApp-like controller executes validated policies at interval",
  "authors": "Gerasimos Papanikolaou-Ntais, Alexandros Kaloxylos, Athanasios Kanavos",
  "category": "research",
  "topics": "regulation,agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-05T13:05:48.000Z",
  "fetched_at": "2026-07-14T14:14:24.247Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/233",
  "original_url": "https://arxiv.org/abs/2607.04290v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}