{"total":60,"rows":[{"id":"2602.15763","title":"GLM-5: from Vibe Coding to Agentic Engineering","created":"2026-02-17","cited_by_count":587,"area":"agents"},{"id":"2607.24653","title":"Kimi K3: Open Frontier Intelligence","created":"2026-07-27","cited_by_count":138,"area":"agents"},{"id":"2604.04804","title":"SkillX: Automatically Constructing Skill Knowledge Bases for Agents","created":"2026-04-06","cited_by_count":76,"area":"agents"},{"id":"2604.06132","title":"Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents","created":"2026-04-07","cited_by_count":64,"area":"agents"},{"id":"2604.18292","title":"Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence","created":"2026-04-20","cited_by_count":54,"area":"agents"},{"id":"2602.00933","title":"MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers","created":"2026-01-31","cited_by_count":53,"area":"agents"},{"id":"2606.29537","title":"OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks","created":"2026-06-28","cited_by_count":40,"area":"agents"},{"id":"2602.13379","title":"Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents","created":"2026-02-13","cited_by_count":30,"area":"agents"},{"id":"2603.00718","title":"SkillCraft: Can LLM Agents Learn to Use Tools Skillfully?","created":"2026-02-28","cited_by_count":30,"area":"agents"},{"id":"2606.01139","title":"SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision","created":"2026-05-31","cited_by_count":30,"area":"agents"},{"id":"2601.11044","title":"AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts","created":"2026-01-16","cited_by_count":28,"area":"agents"},{"id":"2512.16301","title":"Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skills","created":"2025-12-18","cited_by_count":22,"area":"agents"},{"id":"2605.02240","title":"PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments","created":"2026-05-04","cited_by_count":21,"area":"agents"},{"id":"2602.05073","title":"Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities","created":"2026-02-04","cited_by_count":20,"area":"agents"},{"id":"2602.07962","title":"LOCA-bench: Benchmarking Language Agents Under Controllable and Extreme Context Growth","created":"2026-02-08","cited_by_count":14,"area":"agents"},{"id":"2603.22862","title":"The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration","created":"2026-03-24","cited_by_count":14,"area":"agents"},{"id":"2603.11076","title":"DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use","created":"2026-03-10","cited_by_count":13,"area":"agents"},{"id":"2605.26079","title":"Automated Benchmark Auditing for AI Agents and Large Language Models","created":"2026-05-25","cited_by_count":12,"area":"agents"},{"id":"2606.22388","title":"PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems","created":"2026-06-21","cited_by_count":11,"area":"agents"},{"id":"2602.01675","title":"TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios","created":"2026-02-02","cited_by_count":10,"area":"agents"},{"id":"2602.13691","title":"PhGPO: Pheromone-Guided Policy Optimization for Long-Horizon Tool Planning","created":"2026-02-14","cited_by_count":9,"area":"agents"},{"id":"2606.28480","title":"TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents","created":"2026-06-26","cited_by_count":9,"area":"agents"},{"id":"2602.16179","title":"EnterpriseBench Corecraft: Training Generalizable Agents on High-Fidelity RL Environments","created":"2026-02-18","cited_by_count":8,"area":"agents"},{"id":"2606.16613","title":"CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies","created":"2026-06-15","cited_by_count":8,"area":"agents"},{"id":"2604.10866","title":"OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language Environment Simulation","created":"2026-04-13","cited_by_count":7,"area":"agents"},{"id":"2602.19008","title":"Capable but Unreliable: Canonical Path Deviation as a Causal Mechanism of Agent Failure in Long-Horizon Tasks","created":"2026-02-22","cited_by_count":6,"area":"agents"},{"id":"2603.05553","title":"EigenData: A Self-Evolving Multi-Agent Platform for Function-Calling Data Synthesis, Auditing, and Repair","created":"2026-03-05","cited_by_count":6,"area":"agents"},{"id":"2604.11201","title":"CocoaBench: Evaluating Unified Digital Agents in the Wild","created":"2026-04-13","cited_by_count":6,"area":"agents"},{"id":"2605.27995","title":"AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios","created":"2026-05-27","cited_by_count":5,"area":"agents"},{"id":"2605.18548","title":"STT-Arena: A More Realistic Environment for Tool-Using with Spatio-Temporal Dynamics","created":"2026-05-18","cited_by_count":4,"area":"agents"},{"id":"2606.23049","title":"PhoneBuddy: Training Open Models for Agentic Phone Use","created":"2026-06-22","cited_by_count":4,"area":"agents"},{"id":"2608.00155","title":"AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks?","created":"2026-07-31","cited_by_count":4,"area":"agents"},{"id":"2608.05013","title":"OneDayAgent: Towards a Long-Horizon Harness for Autonomous Agents","created":"2026-08-04","cited_by_count":4,"area":"agents"},{"id":"2601.06328","title":"C-World: A Computer Use Agent Environment Creator","created":"2026-01-09","cited_by_count":3,"area":"agents"},{"id":"2601.08173","title":"The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios","created":"2026-01-13","cited_by_count":3,"area":"agents"},{"id":"2602.02619","title":"daVinci-Agency: Unlocking Long-Horizon Agency Data-Efficiently","created":"2026-02-02","cited_by_count":3,"area":"agents"},{"id":"2605.05696","title":"Irminsul: MLA-Native Position-Independent Caching for Agentic LLM Serving","created":"2026-05-07","cited_by_count":3,"area":"agents"},{"id":"2606.02470","title":"MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation","created":"2026-06-01","cited_by_count":3,"area":"agents"},{"id":"2606.09118","title":"ComplexConstraints and Beyond: Expert Rubrics for RLVR","created":"2026-06-08","cited_by_count":3,"area":"agents"},{"id":"2606.17016","title":"TokenPilot: Cache-Efficient Context Management for LLM Agents","created":"2026-06-15","cited_by_count":3,"area":"agents"},{"id":"2607.11818","title":"MM-ToolSandBox: A Unified Framework for Evaluating Visual Tool-Calling Agents","created":"2026-07-13","cited_by_count":3,"area":"agents"},{"id":"2609.02783","title":"EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction","created":"2026-09-02","cited_by_count":3,"area":"agents"},{"id":"2605.17453","title":"Trust No Tool: Evaluating and Defending LLM Agents under Untrusted Tool Feedback","created":"2026-05-17","cited_by_count":2,"area":"agents"},{"id":"2604.12162","title":"AlphaEval: Evaluating Agents in Production","created":"2026-04-14","cited_by_count":1,"area":"agents"},{"id":"2604.23455","title":"CUJBench: Benchmarking LLM-Agent on Cross-Modal Failure Diagnosis from Browser to Backend","created":"2026-04-25","cited_by_count":1,"area":"agents"},{"id":"2607.14989","title":"OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios","created":"2026-07-16","cited_by_count":1,"area":"agents"},{"id":"2607.14108","title":"Eta Given Delta: Defining LLM Tool Efficiency With Marginal Tool Utility","created":"2026-05-07","cited_by_count":0,"area":"agents"},{"id":"2607.23124","title":"AgentOmnia: Scaling Agentic Models for Full-Scenario Applications","created":"2026-07-25","cited_by_count":0,"area":"agents"},{"id":"2609.09233","title":"Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks","created":"2026-09-07","cited_by_count":0,"area":"agents"},{"id":"2609.29892","title":"Qwen-Planner-Agent: A Closed-Loop AI-for-AI Framework for Real-World Mobile Planner Agents","created":"2026-09-24","cited_by_count":0,"area":"agents"},{"id":"2609.30717","title":"RecToolBench: Benchmarking Recommendation-Specific Tool Orchestration under Fuzzy User Intent","created":"2026-09-25","cited_by_count":0,"area":"agents"},{"id":"2609.32776","title":"On the Behavioral Traits of LLM Agents","created":"2026-09-26","cited_by_count":0,"area":"agents"},{"id":"2609.36887","title":"WEFT: Scaling Tool-Use Post-Training for General-Purpose Agents","created":"2026-09-29","cited_by_count":0,"area":"agents"},{"id":"2610.02330","title":"Choosing Before Acting: Comparative Value Estimation for Long-Horizon Tool-Use Agents","created":"2026-10-01","cited_by_count":0,"area":"agents"},{"id":"2610.04375","title":"Do Tool Calls Execute as Intended? Measuring and Repairing Intent-Execution Correspondence in LLM Agents","created":"2026-10-03","cited_by_count":0,"area":"agents"},{"id":"2610.14163","title":"AutoEnvScaling: Automating the Data Flywheel with Terminal Agents","created":"2026-10-09","cited_by_count":0,"area":"agents"},{"id":"2610.14774","title":"ProgAgent: Learning Tool Orchestration through Programmatic Training","created":"2026-10-10","cited_by_count":0,"area":"agents"},{"id":"2610.14966","title":"SkillHorizon: Constructing Long-Horizon Agent Tasks through Skill Composition","created":"2026-10-10","cited_by_count":0,"area":"agents"},{"id":"2610.16592","title":"Prorsa: Unleashing the Potential of Prefill-Decode Disaggregation in Agentic Reinforcement Learning","created":"2026-10-12","cited_by_count":0,"area":"agents"},{"id":"2610.16867","title":"Davinci-Tool: Scaling Agentic Tool-Use Supervision with Verifiable Executable Environments","created":"2026-10-12","cited_by_count":0,"area":"agents"}],"next_cursor":null}