# First Field-Trial Demonstration of L4 Autonomous Optical Network for Distributed AI Training Communication: An LLM-Powered Multi-AI-Agent Solution

arXiv: https://arxiv.org/abs/2504.01234 · HTML: https://mlsanity.com/paper/2504.01234/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Placed in Agentic AI for wireless networks, one of 16 directions in LLM agents and tool use.
- Builds on 4 of its 10 references that are in the map.
- First posted on arXiv 1 Apr 2025.

## Placed in

- LLM agents and tool use / [Agentic AI for wireless networks](https://mlsanity.com/agents/agentic-ai-for-wireless-networks/)

## Builds on (most cited first, 4 of 4)

- [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://mlsanity.com/paper/2005.11401/) (2020)
- [ReAct: Synergizing Reasoning and Acting in Language Models](https://mlsanity.com/paper/2210.03629/) (2022)
- [First Field Trial of LLM-Powered AI Agent for Lifecycle Management of Autonomous Driving Optical Networks](https://mlsanity.com/paper/2409.14605/) (2024)
- [A Survey on Machine Learning for Geo-Distributed Cloud Data Center Management](https://mlsanity.com/paper/2205.08072/) (2022)

## Built on by (most cited first, 3 of 3)

- [You Need Reasoning to Learn Reasoning: The Limitations of Label-Free RL in Weak Base Models](https://mlsanity.com/paper/2511.04902/) (2025)
- [Agentic AI for Scalable and Robust Optical Systems Control](https://mlsanity.com/paper/2602.20144/) (2026)
- [Toward Agentic Optical Networks: A Vision of LLM Agent-Driven Autonomous Lifecycle Management](https://mlsanity.com/paper/2609.32226/) (2026)

## Abstract (arXiv)

We demonstrate the first cross-domain cross-layer level-4 autonomous optical network via a multi-AI-agent system. Field trials show ~98% task completion rate across the distributed AI training lifecycle-3.2x higher than single agents using state-of-the-art LLMs.