{"total":16,"rows":[{"id":"2605.07161","title":"SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios","created":"2026-05-08","cited_by_count":10,"area":"agents"},{"id":"2603.02630","title":"MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks","created":"2026-03-03","cited_by_count":9,"area":"agents"},{"id":"2509.24380","title":"Agentic Services Computing","created":"2025-09-29","cited_by_count":6,"area":"agents"},{"id":"2510.10074","title":"StepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis","created":"2025-10-11","cited_by_count":5,"area":"agents"},{"id":"2605.12729","title":"Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety","created":"2026-05-12","cited_by_count":2,"area":"agents"},{"id":"2510.13257","title":"GRIDAI: Generating and Repairing Intrusion Detection Rules via Collaboration among Multiple LLM-based Agents","created":"2025-10-15","cited_by_count":1,"area":"agents"},{"id":"2605.15581","title":"STAR: A Stage-attributed Triage and Repair framework for RCA Agents in Microservices","created":"2026-05-15","cited_by_count":1,"area":"agents"},{"id":"2605.15611","title":"TopoEvo: A Topology-Aware Self-Evolving Multi-Agent Framework for Root Cause Analysis in Microservices","created":"2026-05-15","cited_by_count":1,"area":"agents"},{"id":"2606.04799","title":"UModel: An Agent-Ready Observability Data Modeling Method at Scale","created":"2026-06-03","cited_by_count":1,"area":"agents"},{"id":"2606.29193","title":"A Multi-Dataset Benchmark for Evaluating LLM Agents in Microservice Failure Diagnosis","created":"2026-06-28","cited_by_count":1,"area":"agents"},{"id":"2510.01654","title":"SoK: Measuring What Matters for Closed-Loop Security Agents","created":"2025-10-02","cited_by_count":0,"area":"agents"},{"id":"2607.01788","title":"KRCA: An Efficient Root Cause Analysis System in Hyper-scale Microservice Systems via Agentic AI","created":"2026-07-02","cited_by_count":0,"area":"agents"},{"id":"2607.19433","title":"The Chronos Vulnerability: A Taxonomy of Temporal Persistence and Memory-Based Deception in Agentic AI","created":"2026-07-20","cited_by_count":0,"area":"agents"},{"id":"2608.21310","title":"Beyond Fault Localization: A Trajectory-Level Study of LLM Agents for Microservice Root Cause Analysis","created":"2026-08-21","cited_by_count":0,"area":"agents"},{"id":"2608.25661","title":"From General Agents to RCA Experts: A Self-Evolving Harness for Root Cause Analysis","created":"2026-08-26","cited_by_count":0,"area":"agents"},{"id":"2610.19291","title":"Can LLM Agents Efficiently Identify Appliance Faults? Insights From Diagnosing a Simulated Appliance","created":"2026-10-13","cited_by_count":0,"area":"agents"}],"next_cursor":null}