arXiv 论文：将数据引用内嵌架构，抑制光网络智能体的数据幻觉
Preventing Data Hallucinations in Agentic AI for Optical Network Troubleshooting
做网络运维或智能体的可以看看：这篇论文把数据引用直接嵌进架构，让光网络排障的根因推理不再凭空编数据。
arXiv 论文 2610.23252 展示了一套面向光通信网络自动排障的智能体系统。该系统把数据引用直接整合进智能体架构，用于防止数据幻觉。作者称这一设计提升了根因识别与推理过程的可解释性和可信度。
Preventing Data Hallucinations in Agentic AI for Optical Network Troubleshooting
An agentic AI system for automated troubleshooting in optical communication networks is demonstrated that integrates data references into the agent architecture to prevent data hallucinations, improving the interpretability and trustworthiness of root-cause identification and reasoning.
This report is categorized under AITOP's "Papers" desk. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include 智能体, 数据幻觉, 光通信网络, arXiv.
Source attribution: curated from arXiv cs.AI (@Jeremias Dötterl, Martin Kuipers).
