{"total":19,"rows":[{"id":"2503.18666","title":"AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents","created":"2025-03-24","cited_by_count":223,"area":"agents"},{"id":"2410.06703","title":"ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents","created":"2024-10-09","cited_by_count":133,"area":"agents"},{"id":"2510.09781","title":"Building a Foundational Guardrail for General Agentic Systems via Synthetic Data","created":"2025-10-10","cited_by_count":29,"area":"agents"},{"id":"2505.16120","title":"LLM-Powered AI Agent Systems and Their Applications in Industry","created":"2025-05-22","cited_by_count":22,"area":"agents"},{"id":"2602.06443","title":"TrajAD: Trajectory Anomaly Detection for Trustworthy LLM Agents","created":"2026-02-06","cited_by_count":15,"area":"agents"},{"id":"2507.04105","title":"Enhancing Robustness of LLM-Driven Multi-Agent Systems through Randomized Smoothing","created":"2025-07-05","cited_by_count":9,"area":"agents"},{"id":"2506.11083","title":"RedDebate: Safer Responses Through Multi-Agent Red Teaming Debates","created":"2025-06-04","cited_by_count":7,"area":"agents"},{"id":"2510.14008","title":"Stop Reducing Responsibility in LLM-Powered Multi-Agent Systems to Local Alignment","created":"2025-10-15","cited_by_count":7,"area":"agents"},{"id":"2604.05229","title":"From Governance Norms to Enforceable Controls: A Layered Translation Method for Runtime Guardrails in Agentic AI","created":"2026-04-06","cited_by_count":7,"area":"agents"},{"id":"2502.18528","title":"ARACNE: An LLM-Based Autonomous Shell Pentesting Agent","created":"2025-02-24","cited_by_count":5,"area":"agents"},{"id":"2605.17169","title":"Responsible Agentic AI Requires Explicit Provenance","created":"2026-05-16","cited_by_count":3,"area":"agents"},{"id":"2510.14207","title":"Echoes of Human Malice in Agents: Benchmarking LLMs for Multi-Turn Online Harassment Attacks","created":"2025-10-16","cited_by_count":1,"area":"agents"},{"id":"2601.00994","title":"ElecTwit: A Framework for Studying Persuasion in Multi-Agent Social Systems","created":"2026-01-02","cited_by_count":1,"area":"agents"},{"id":"2602.15689","title":"A Content-Based Framework for Cybersecurity Refusal Decisions in Large Language Models","created":"2026-02-17","cited_by_count":1,"area":"agents"},{"id":"2603.25097","title":"ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents","created":"2026-03-26","cited_by_count":0,"area":"agents"},{"id":"2604.16314","title":"Software Self-Extension with SelfEvolve: an Agentic Architecture for Runtime Code Generation","created":"2026-02-06","cited_by_count":0,"area":"agents"},{"id":"2604.27464","title":"Security Attack and Defense Strategies for Autonomous Agent Frameworks: A Layered Review with OpenClaw as a Case Study","created":"2026-04-30","cited_by_count":0,"area":"agents"},{"id":"2609.22712","title":"Trustworthy Agentic AI: Failure Modes, Mitigation Strategies, and a Lifecycle Framework for Autonomous LLM Systems","created":"2026-09-19","cited_by_count":0,"area":"agents"},{"id":"2610.18007","title":"Cost-Efficient Privacy Enforcement for Email-Generating LLM Agents under Strategic Information Requests","created":"2026-10-13","cited_by_count":0,"area":"agents"}],"next_cursor":null}