{"total":158,"rows":[{"id":"2602.15763","title":"GLM-5: from Vibe Coding to Agentic Engineering","created":"2026-02-17","cited_by_count":587,"area":"agents"},{"id":"2507.20534","title":"Kimi K2: Open Agentic Intelligence","created":"2025-07-28","cited_by_count":567,"area":"agents"},{"id":"2602.12670","title":"SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks","created":"2026-02-13","cited_by_count":315,"area":"agents"},{"id":"2506.11791","title":"SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks","created":"2025-06-13","cited_by_count":75,"area":"agents"},{"id":"2508.11987","title":"FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction","created":"2025-08-16","cited_by_count":59,"area":"agents"},{"id":"2508.21433","title":"The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management","created":"2025-08-29","cited_by_count":48,"area":"agents"},{"id":"2511.16108","title":"SkyRL-Agent: Efficient RL Training for Multi-turn LLM Agent","created":"2025-11-20","cited_by_count":48,"area":"agents"},{"id":"2605.18747","title":"Code as Agent Harness","created":"2026-05-18","cited_by_count":47,"area":"agents"},{"id":"2512.22087","title":"Context as a Tool: Context Management for Long-Horizon SWE-Agents","created":"2025-12-26","cited_by_count":43,"area":"agents"},{"id":"2604.20779","title":"SWE-chat: Coding Agent Interactions From Real Users in the Wild","created":"2026-04-22","cited_by_count":43,"area":"agents"},{"id":"2509.23045","title":"Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents","created":"2025-09-27","cited_by_count":41,"area":"agents"},{"id":"2602.10975","title":"FeatureBench: Benchmarking Agentic Coding for Complex Feature Development","created":"2026-02-11","cited_by_count":34,"area":"agents"},{"id":"2602.14337","title":"LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces","created":"2026-02-15","cited_by_count":34,"area":"agents"},{"id":"2602.01244","title":"Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments","created":"2026-02-01","cited_by_count":33,"area":"agents"},{"id":"2606.23321","title":"Tmax: A simple recipe for terminal agents","created":"2026-06-22","cited_by_count":33,"area":"agents"},{"id":"2509.17158","title":"ARE: Scaling Up Agent Environments and Evaluations","created":"2025-09-21","cited_by_count":30,"area":"agents"},{"id":"2602.07274","title":"TermiGen: High-Fidelity Environment and Robust Trajectory Synthesis for Terminal Agents","created":"2026-02-06","cited_by_count":29,"area":"agents"},{"id":"2602.23866","title":"SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale","created":"2026-02-27","cited_by_count":29,"area":"agents"},{"id":"2506.19290","title":"Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs","created":"2025-06-24","cited_by_count":26,"area":"agents"},{"id":"2510.16996","title":"STARK: Strategic Team of Agents for Refining Kernels","created":"2025-10-19","cited_by_count":25,"area":"agents"},{"id":"2602.10999","title":"CLI-Gym: Scalable CLI Task Generation via Agentic Environment Inversion","created":"2026-02-11","cited_by_count":23,"area":"agents"},{"id":"2605.25624","title":"CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents","created":"2026-05-25","cited_by_count":23,"area":"agents"},{"id":"2508.00910","title":"Cyber-Zero: Training Cybersecurity Agents without Runtime","created":"2025-07-29","cited_by_count":22,"area":"agents"},{"id":"2512.03262","title":"Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks","created":"2025-12-02","cited_by_count":22,"area":"agents"},{"id":"2602.09892","title":"Immersion in the GitHub Universe: Scaling Coding Agents to Mastery","created":"2026-02-10","cited_by_count":22,"area":"agents"},{"id":"2603.03194","title":"BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?","created":"2026-03-03","cited_by_count":22,"area":"agents"},{"id":"2603.24477","title":"Composer 2 Technical Report","created":"2026-03-25","cited_by_count":22,"area":"agents"},{"id":"2510.27598","title":"InnovatorBench: Evaluating Agents' Ability to Conduct Innovative LLM Research","created":"2025-10-31","cited_by_count":19,"area":"agents"},{"id":"2512.14895","title":"Imitation Learning for Multi-turn LM Agents via On-policy Expert Corrections","created":"2025-12-16","cited_by_count":19,"area":"agents"},{"id":"2510.25694","title":"Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents","created":"2025-10-29","cited_by_count":18,"area":"agents"},{"id":"2606.29957","title":"SWE-Together: Evaluating Coding Agents in Interactive User Sessions","created":"2026-06-29","cited_by_count":18,"area":"agents"},{"id":"2510.24702","title":"Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents","created":"2025-10-28","cited_by_count":17,"area":"agents"},{"id":"2601.07264","title":"The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents","created":"2026-01-12","cited_by_count":16,"area":"agents"},{"id":"2508.18370","title":"Training Language Model Agents to Find Vulnerabilities with CTF-Dojo","created":"2025-08-25","cited_by_count":15,"area":"agents"},{"id":"2510.09721","title":"A Comprehensive Survey on Benchmarks and Solutions in Software Engineering of LLM-Empowered Agentic System","created":"2025-10-10","cited_by_count":15,"area":"agents"},{"id":"2511.18538","title":"From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence","created":"2025-11-23","cited_by_count":15,"area":"agents"},{"id":"2511.09586","title":"Environment Scaling for Interactive Agentic Experience Collection: A Survey","created":"2025-11-12","cited_by_count":13,"area":"agents"},{"id":"2512.12216","title":"Training Versatile Coding Agents in Synthetic Environments","created":"2025-12-13","cited_by_count":13,"area":"agents"},{"id":"2608.19880","title":"EnvHarness: Awakening Static Worlds for Agent Learning","created":"2026-08-20","cited_by_count":13,"area":"agents"},{"id":"2601.05163","title":"DocDancer: Towards Agentic Document-Grounded Information Seeking","created":"2026-01-08","cited_by_count":12,"area":"agents"},{"id":"2602.09540","title":"SWE-Bench Mobile: Can Large Language Model Agents Develop Industry-Level Mobile Applications?","created":"2026-02-10","cited_by_count":12,"area":"agents"},{"id":"2605.25430","title":"CODESKILL: Learning Self-Evolving Skills for Coding Agents","created":"2026-05-25","cited_by_count":12,"area":"agents"},{"id":"2607.10891","title":"SETA: Scaling Environments for Terminal Agents","created":"2026-07-12","cited_by_count":12,"area":"agents"},{"id":"2512.10398","title":"Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases","created":"2025-12-11","cited_by_count":11,"area":"agents"},{"id":"2601.16206","title":"Computer Environments Elicit General Agentic Intelligence in LLMs","created":"2026-01-22","cited_by_count":11,"area":"agents"},{"id":"2607.00053","title":"SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks","created":"2026-06-30","cited_by_count":11,"area":"agents"},{"id":"2512.24618","title":"Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models","created":"2025-12-31","cited_by_count":10,"area":"agents"},{"id":"2601.20789","title":"SERA: Soft-Verified Efficient Repository Agents","created":"2026-01-28","cited_by_count":10,"area":"agents"},{"id":"2606.16038","title":"Open-SWE-Traces: Advancing Dual-Mode Multilingual Distillation for Software Engineering Agents","created":"2026-06-14","cited_by_count":10,"area":"agents"},{"id":"2508.06960","title":"DatasetResearch: Benchmarking Agent Systems for Demand-Driven Dataset Discovery","created":"2025-08-09","cited_by_count":9,"area":"agents"},{"id":"2510.07307","title":"MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline","created":"2025-10-08","cited_by_count":9,"area":"agents"},{"id":"2511.05951","title":"Klear-AgentForge: Forging Agentic Intelligence through Posttraining Scaling","created":"2025-11-08","cited_by_count":9,"area":"agents"},{"id":"2601.07526","title":"MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era","created":"2026-01-12","cited_by_count":9,"area":"agents"},{"id":"2602.06593","title":"AgentStepper: Interactive Debugging of Software Development Agents","created":"2026-02-06","cited_by_count":9,"area":"agents"},{"id":"2603.20691","title":"SWE-Next: Scalable Real-World Software Engineering Tasks for Agents","created":"2026-03-21","cited_by_count":9,"area":"agents"},{"id":"2606.07412","title":"Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills","created":"2026-06-05","cited_by_count":9,"area":"agents"},{"id":"2601.16489","title":"EvoConfig: Self-Evolving Multi-Agent Systems for Efficient Autonomous Environment Configuration","created":"2026-01-23","cited_by_count":8,"area":"agents"},{"id":"2603.27703","title":"KAT-Coder-V2 Technical Report","created":"2026-03-29","cited_by_count":8,"area":"agents"},{"id":"2604.05013","title":"Scaling Coding Agents via Atomic Skills","created":"2026-04-06","cited_by_count":8,"area":"agents"},{"id":"2605.15040","title":"Orchard: An Open-Source Agentic Modeling Framework","created":"2026-05-14","cited_by_count":8,"area":"agents"},{"id":"2606.12191","title":"Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application","created":"2026-06-10","cited_by_count":8,"area":"agents"},{"id":"2605.12913","title":"Revisiting DAgger in the Era of LLM-Agents","created":"2026-05-13","cited_by_count":7,"area":"agents"},{"id":"2606.13995","title":"Dialogue SWE-Bench: A Benchmark for Dialogue-Driven Coding Agents","created":"2026-06-12","cited_by_count":7,"area":"agents"},{"id":"2607.14186","title":"NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs","created":"2026-07-15","cited_by_count":7,"area":"agents"},{"id":"2608.17528","title":"Agent Lightning v1.0: Towards Harnessed Agentic RL","created":"2026-08-18","cited_by_count":7,"area":"agents"},{"id":"2507.18755","title":"Agentic Program Repair from Test Failures at Scale: A Neuro-symbolic approach with static analysis and test execution feedback","created":"2025-07-24","cited_by_count":6,"area":"agents"},{"id":"2512.22256","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","created":"2025-12-24","cited_by_count":6,"area":"agents"},{"id":"2602.16819","title":"Hybrid-Gym: Training Coding Agents to Generalize Across Tasks","created":"2026-02-18","cited_by_count":6,"area":"agents"},{"id":"2604.01496","title":"From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents","created":"2026-04-02","cited_by_count":6,"area":"agents"},{"id":"2505.22583","title":"GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git","created":"2025-05-28","cited_by_count":5,"area":"agents"},{"id":"2511.00413","title":"Tree Training: Accelerating Agentic LLMs Training via Shared Prefix Reuse","created":"2025-11-01","cited_by_count":5,"area":"agents"},{"id":"2605.00425","title":"AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning","created":"2026-05-01","cited_by_count":5,"area":"agents"},{"id":"2605.11036","title":"Sequential Behavioral Watermarking for LLM Agents","created":"2026-05-11","cited_by_count":5,"area":"agents"},{"id":"2605.20833","title":"MemGym: a Long-Horizon Memory Environment for LLM Agents","created":"2026-05-20","cited_by_count":5,"area":"agents"},{"id":"2606.21811","title":"Steer, Don't Solve: Training Small Critic Models for Large Code Agents","created":"2026-06-20","cited_by_count":5,"area":"agents"},{"id":"2607.06065","title":"SWE-Review: Closing the Loop on Issue Resolution with Agentic Code Review","created":"2026-07-07","cited_by_count":5,"area":"agents"},{"id":"2608.07645","title":"Mendel G\\\"odel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution","created":"2026-08-07","cited_by_count":5,"area":"agents"},{"id":"2505.23422","title":"From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents","created":"2025-05-29","cited_by_count":4,"area":"agents"},{"id":"2602.02262","title":"OmniCode: A Benchmark for Evaluating Software Engineering Agents","created":"2026-02-02","cited_by_count":4,"area":"agents"},{"id":"2602.18700","title":"Watermarking LLM Agent Trajectories","created":"2026-02-21","cited_by_count":4,"area":"agents"},{"id":"2602.22124","title":"SWE-Prot\\'eg\\'e: Learning to Selectively Collaborate With an Expert Unlocks Small Language Models as Software Engineering Agents","created":"2026-02-25","cited_by_count":4,"area":"agents"},{"id":"2603.00575","title":"SWE-Hub: A Unified Production System for Scalable, Executable Software Engineering Tasks","created":"2026-02-28","cited_by_count":4,"area":"agents"},{"id":"2605.21996","title":"From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents","created":"2026-05-21","cited_by_count":4,"area":"agents"},{"id":"2607.02911","title":"CoACT: Action-Preserving Observation Compression for Coding Agents","created":"2026-07-03","cited_by_count":4,"area":"agents"},{"id":"2607.06273","title":"AgentTether: Graph-Guided Diagnosis and Runtime Intervention for Reliable LLM Agent Operation","created":"2026-07-07","cited_by_count":4,"area":"agents"},{"id":"2607.28545","title":"ORCA-bench: How Ready Are Language Model Agents for Oncall?","created":"2026-07-30","cited_by_count":4,"area":"agents"},{"id":"2608.13505","title":"Intern-S2-Preview: Scientific Agentic Foundation Model","created":"2026-08-13","cited_by_count":4,"area":"agents"},{"id":"2602.00592","title":"DockSmith: Scaling Reliable Coding Environments via an Agentic Docker Builder","created":"2026-01-31","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":"2602.07652","title":"Agent-Fence: Mapping Security Vulnerabilities Across Deep Research Agents","created":"2026-02-07","cited_by_count":3,"area":"agents"},{"id":"2604.16335","title":"Beyond Verifiable Rewards: Rubric-Based GRM for Reinforced Fine-Tuning SWE Agents","created":"2026-03-13","cited_by_count":3,"area":"agents"},{"id":"2605.10674","title":"Step Rejection Fine-Tuning: A Practical Distillation Recipe","created":"2026-05-11","cited_by_count":3,"area":"agents"},{"id":"2606.07379","title":"Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests","created":"2026-06-05","cited_by_count":3,"area":"agents"},{"id":"2606.12882","title":"HarnessBridge: Learnable Bidirectional Controller for LLM Agent Harness","created":"2026-06-11","cited_by_count":3,"area":"agents"},{"id":"2608.02499","title":"SWE-Touch: Benchmarking Coding Agents When Users Touch the Code","created":"2026-08-03","cited_by_count":3,"area":"agents"},{"id":"2608.23670","title":"Automata from Agent Traces: Failure and Next-Step Prediction","created":"2026-08-24","cited_by_count":3,"area":"agents"},{"id":"2608.27260","title":"What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents","created":"2026-08-27","cited_by_count":3,"area":"agents"},{"id":"2609.09133","title":"ExecCritic: Learn to Test, Test to Improve for Coding Agents","created":"2026-09-08","cited_by_count":3,"area":"agents"},{"id":"2603.17216","title":"ML-AutoResearch: Training Machine Learning Research Agents with Automatically Generated Environments","created":"2026-03-17","cited_by_count":2,"area":"agents"},{"id":"2606.11070","title":"T1-Bench: Benchmarking Multi-Scenario Agents in Real-World Domains","created":"2026-06-09","cited_by_count":2,"area":"agents"}],"next_cursor":"100"}