mlsanityData to 14 Oct 2026

TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks

arXiv 2507.18190 ↗First posted 24 Jul 2025cs.CLcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 9 of its 27 references that are in the map. First posted on arXiv 24 Jul 2025.

Builds on

9 of 27 references.

References · 9

  1. 2024When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMscited by 240
  2. 2024MASAI: Modular Architecture for Software-engineering AI Agentscited by 49
  3. 2024RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Datacited by 29
  4. 2025Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Computecited by 26
  5. 2024Tele-LLMs: A Series of Specialized Large Language Models for Telecommunicationscited by 25
  6. 2024ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairscited by 19
  7. 2021An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networkscited by 10
  8. 2025Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQAcited by 7
  9. 2025Efficient Telecom Specific LLM: TSLAM-Mini with QLoRA and Digital Twin Datacited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025Reasoning Language Models for Root Cause Analysis in 5G Wireless Networkscited by 13
  2. 2026Large Language Models (LLMs) for Telecom Root Cause Analysis (RCA): A Structured Reasoning Framework for Evidence-Grounded Diagnosiscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026From General Agents to RCA Experts: A Self-Evolving Harness for Root Cause Analysis
  2. 2026ORCA-bench: How Ready Are Language Model Agents for Oncall?
  3. 2025GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?
  4. 2026LATS-RCA: Language Agent Tree Search for Root Cause Analysis in Microservices
  5. 2024Exploring LLM-based Agents for Root Cause Analysis
  6. 2026OpenRCA 2.0: From Outcome Labels to Causal Process Supervision
  7. 2026LLM-Augmented Knowledge Base Construction For Root Cause Analysis
  8. 2026How Far Can Root Cause Analysis Go on Real-World Telemetry Data?