{"ID":2890813,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.18190","arxiv_id":"2507.18190","title":"TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks","abstract":"Root Cause Analysis (RCA) in telecommunication networks is a critical task, yet it presents a formidable challenge for Artificial Intelligence (AI) due to its complex, graph-based reasoning requirements and the scarcity of realistic benchmarks.","short_abstract":"Root Cause Analysis (RCA) in telecommunication networks is a critical task, yet it presents a formidable challenge for Artificial Intelligence (AI) due to its complex, graph-based reasoning requirements and the scarcity of realistic benchmarks.","url_abs":"https://arxiv.org/abs/2507.18190","url_pdf":"https://arxiv.org/pdf/2507.18190v2","authors":"[\"Keyu Wu\",\"Qianjin Yu\",\"Manlin Mei\",\"Ruiting Liu\",\"Jun Wang\",\"Kailai Zhang\",\"Yelun Bao\"]","published":"2025-07-24T08:40:08Z","proceeding":"cs.CL","tasks":"[\"cs.CL\"]","methods":"[]","has_code":false}