{"total":258,"rows":[{"id":"2507.21046","title":"A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence","created":"2025-07-28","cited_by_count":170,"area":"agents"},{"id":"2602.02474","title":"MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents","created":"2026-02-02","cited_by_count":142,"area":"agents"},{"id":"2604.25850","title":"Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses","created":"2026-04-28","cited_by_count":142,"area":"agents"},{"id":"2506.18096","title":"Deep Research Agents: A Systematic Examination And Roadmap","created":"2025-06-22","cited_by_count":128,"area":"agents"},{"id":"2508.14111","title":"From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery","created":"2025-08-18","cited_by_count":77,"area":"agents"},{"id":"2603.03329","title":"AutoHarness: improving LLM agents by automatically synthesizing a code harness","created":"2026-02-10","cited_by_count":76,"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":"2509.26354","title":"Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents","created":"2025-09-30","cited_by_count":62,"area":"agents"},{"id":"2506.23260","title":"From Prompt Injections to Protocol Exploits: Threats in LLM-Powered AI Agents Workflows","created":"2025-06-29","cited_by_count":58,"area":"agents"},{"id":"2607.00272","title":"ASPIRE: Agentic /Skills Discovery for Robotics","created":"2026-06-30","cited_by_count":53,"area":"agents"},{"id":"2604.01658","title":"CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery","created":"2026-04-02","cited_by_count":52,"area":"agents"},{"id":"2509.07506","title":"Astra: A Multi-Agent System for GPU Kernel Performance Optimization","created":"2025-09-09","cited_by_count":51,"area":"agents"},{"id":"2601.21557","title":"Meta Context Engineering via Agentic Skill Evolution","created":"2026-01-29","cited_by_count":49,"area":"agents"},{"id":"2602.15654","title":"Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections","created":"2026-02-17","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":"2510.14150","title":"CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization","created":"2025-10-15","cited_by_count":44,"area":"agents"},{"id":"2604.14228","title":"Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems","created":"2026-04-14","cited_by_count":38,"area":"agents"},{"id":"2510.13220","title":"EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems","created":"2025-10-15","cited_by_count":37,"area":"agents"},{"id":"2512.04123","title":"Measuring Agents in Production","created":"2025-12-02","cited_by_count":37,"area":"agents"},{"id":"2510.11661","title":"SR-Scientist: Scientific Equation Discovery With Agentic AI","created":"2025-10-13","cited_by_count":35,"area":"agents"},{"id":"2512.24873","title":"Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem","created":"2025-12-31","cited_by_count":30,"area":"agents"},{"id":"2508.11126","title":"AI Agentic Programming: A Survey of Techniques, Challenges, and Opportunities","created":"2025-08-15","cited_by_count":28,"area":"agents"},{"id":"2605.21384","title":"SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents","created":"2026-05-20","cited_by_count":28,"area":"agents"},{"id":"2602.08990","title":"InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery","created":"2026-02-09","cited_by_count":27,"area":"agents"},{"id":"2603.24517","title":"AVO: Agentic Variation Operators for Autonomous Evolutionary Search","created":"2026-03-25","cited_by_count":24,"area":"agents"},{"id":"2511.07327","title":"IterResearch: Rethinking Long-Horizon Agents with Interaction Scaling","created":"2025-11-10","cited_by_count":23,"area":"agents"},{"id":"2511.15915","title":"AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization","created":"2025-11-19","cited_by_count":23,"area":"agents"},{"id":"2508.10880","title":"Searching for Privacy Risks in LLM Agents via Simulation","created":"2025-08-14","cited_by_count":22,"area":"agents"},{"id":"2602.15112","title":"ResearchGym: Evaluating Language Model Agents on Real-World AI Research","created":"2026-02-16","cited_by_count":22,"area":"agents"},{"id":"2607.05297","title":"MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolution","created":"2026-07-06","cited_by_count":22,"area":"agents"},{"id":"2510.26144","title":"The FM Agent","created":"2025-10-30","cited_by_count":21,"area":"agents"},{"id":"2512.21782","title":"Accelerating Scientific Discovery with Autonomous Goal-evolving Agents","created":"2025-12-25","cited_by_count":19,"area":"agents"},{"id":"2605.26340","title":"ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence","created":"2026-05-25","cited_by_count":19,"area":"agents"},{"id":"2606.26294","title":"The Red Queen G\\\"odel Machine: Co-Evolving Agents and Their Evaluators","created":"2026-06-24","cited_by_count":19,"area":"agents"},{"id":"2607.13104","title":"Self-Improvements in Modern Agentic Systems: A Survey","created":"2026-07-14","cited_by_count":19,"area":"agents"},{"id":"2605.06651","title":"AI co-mathematician: Accelerating mathematicians with agentic AI","created":"2026-05-07","cited_by_count":17,"area":"agents"},{"id":"2512.04864","title":"Are Your Agents Upward Deceivers?","created":"2025-12-04","cited_by_count":16,"area":"agents"},{"id":"2601.05384","title":"Conformity and Social Impact on AI Agents","created":"2026-01-08","cited_by_count":16,"area":"agents"},{"id":"2601.14192","title":"Toward Efficient Agents: Memory, Tool learning, and Planning","created":"2026-01-20","cited_by_count":16,"area":"agents"},{"id":"2604.12290","title":"Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization","created":"2026-04-14","cited_by_count":16,"area":"agents"},{"id":"2509.07367","title":"Autonomous Code Evolution Meets NP-Completeness","created":"2025-09-09","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":"2603.24647","title":"Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch","created":"2026-03-25","cited_by_count":15,"area":"agents"},{"id":"2608.23041","title":"AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces","created":"2026-08-24","cited_by_count":15,"area":"agents"},{"id":"2602.22480","title":"VeRO: A Harness for Agents to Optimize Agents","created":"2026-02-25","cited_by_count":14,"area":"agents"},{"id":"2606.03108","title":"EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning","created":"2026-06-02","cited_by_count":14,"area":"agents"},{"id":"2601.03315","title":"Why LLMs Aren't Scientists Yet: Lessons from Four Autonomous Research Attempts","created":"2026-01-06","cited_by_count":13,"area":"agents"},{"id":"2604.14455","title":"AIBuildAI: An AI Agent for Automatically Building AI Models","created":"2026-04-15","cited_by_count":13,"area":"agents"},{"id":"2608.07545","title":"DarwinX: Evolving Agent Harnesses Through Natural Selection","created":"2026-07-31","cited_by_count":13,"area":"agents"},{"id":"2603.26499","title":"AIRA_2: Overcoming Bottlenecks in AI Research Agents","created":"2026-03-27","cited_by_count":12,"area":"agents"},{"id":"2511.08522","title":"AlphaResearch: Accelerating New Algorithm Discovery with Language Models","created":"2025-11-11","cited_by_count":11,"area":"agents"},{"id":"2604.11811","title":"M$^\\star$: Every Task Deserves Its Own Memory Harness","created":"2026-04-10","cited_by_count":11,"area":"agents"},{"id":"2605.13821","title":"Harnessing Agentic Evolution","created":"2026-05-13","cited_by_count":11,"area":"agents"},{"id":"2606.23525","title":"Self-Compacting Language Model Agents","created":"2026-06-22","cited_by_count":11,"area":"agents"},{"id":"2608.09096","title":"Evo-Bench: Can Language Models Improve Agent Harness?","created":"2026-08-10","cited_by_count":11,"area":"agents"},{"id":"2609.26457","title":"Recursive self-improvement of AI research agents","created":"2026-09-22","cited_by_count":11,"area":"agents"},{"id":"2601.05930","title":"Can We Predict Before Executing Machine Learning Agents?","created":"2026-01-09","cited_by_count":10,"area":"agents"},{"id":"2605.11436","title":"Agent-BRACE: Decoupling Beliefs from Actions in Long-Horizon Tasks via Verbalized State Uncertainty","created":"2026-05-12","cited_by_count":10,"area":"agents"},{"id":"2608.05179","title":"Autonomous Research Agents: A Survey of AI Scientists and the Verification Gap","created":"2026-06-29","cited_by_count":9,"area":"agents"},{"id":"2608.06301","title":"HarnessOpt-Bench: Evaluating LLMs at Harness Optimization","created":"2026-08-06","cited_by_count":9,"area":"agents"},{"id":"2608.24876","title":"Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses","created":"2026-08-25","cited_by_count":9,"area":"agents"},{"id":"2510.14253","title":"Towards Agentic Self-Learning LLMs in Search Environment","created":"2025-10-16","cited_by_count":8,"area":"agents"},{"id":"2604.14116","title":"TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration","created":"2026-04-15","cited_by_count":8,"area":"agents"},{"id":"2605.08956","title":"Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery","created":"2026-05-09","cited_by_count":8,"area":"agents"},{"id":"2605.17373","title":"FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics","created":"2026-05-17","cited_by_count":8,"area":"agents"},{"id":"2606.23075","title":"Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies","created":"2026-06-22","cited_by_count":8,"area":"agents"},{"id":"2511.02238","title":"Deep Ideation: Designing LLM Agents to Generate Novel Research Ideas on Scientific Concept Network","created":"2025-11-04","cited_by_count":7,"area":"agents"},{"id":"2511.11752","title":"Towards autonomous quantum physics research using LLM agents with access to intelligent tools","created":"2025-11-13","cited_by_count":7,"area":"agents"},{"id":"2609.21032","title":"Scaling Discovery through Test-Time Communication","created":"2026-09-17","cited_by_count":7,"area":"agents"},{"id":"2512.10047","title":"Detailed balance in large language model-driven agents","created":"2025-12-10","cited_by_count":6,"area":"agents"},{"id":"2603.16011","title":"FormulaCode: Evaluating Agentic Optimization on Large Codebases","created":"2026-03-16","cited_by_count":6,"area":"agents"},{"id":"2604.15082","title":"Autonomous Evolution of EDA Tools: Multi-Agent Self-Evolved ABC","created":"2026-04-16","cited_by_count":6,"area":"agents"},{"id":"2605.11117","title":"GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms","created":"2026-05-11","cited_by_count":6,"area":"agents"},{"id":"2605.15221","title":"Effective Harness Engineering for Algorithm Discovery with Coding Agents","created":"2026-05-13","cited_by_count":6,"area":"agents"},{"id":"2605.24539","title":"DemoEvolve: Overcoming Sparse Feedback in Agentic Harness Evolution with Demonstrations","created":"2026-05-23","cited_by_count":6,"area":"agents"},{"id":"2606.05391","title":"Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents","created":"2026-06-03","cited_by_count":6,"area":"agents"},{"id":"2606.13662","title":"EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery","created":"2026-06-11","cited_by_count":6,"area":"agents"},{"id":"2606.28279","title":"Agentic Hardware Design as Repository-Level Code Evolution","created":"2026-06-26","cited_by_count":6,"area":"agents"},{"id":"2607.02807","title":"SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery","created":"2026-07-02","cited_by_count":6,"area":"agents"},{"id":"2510.06261","title":"AlphaApollo: A System for Deep Agentic Reasoning","created":"2025-10-05","cited_by_count":5,"area":"agents"},{"id":"2512.23236","title":"KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta","created":"2025-12-29","cited_by_count":5,"area":"agents"},{"id":"2601.13518","title":"AgenticRed: Evolving Agentic Systems for Red-Teaming","created":"2026-01-20","cited_by_count":5,"area":"agents"},{"id":"2602.14697","title":"Evolutionary System Prompt Learning for Reinforcement Learning in LLMs","created":"2026-02-16","cited_by_count":5,"area":"agents"},{"id":"2602.18920","title":"DeepInnovator: Triggering the Innovative Capabilities of LLMs","created":"2026-02-21","cited_by_count":5,"area":"agents"},{"id":"2603.08721","title":"KernelCraft: Benchmarking for Agentic Close-to-Metal Kernel Generation on Emerging Hardware","created":"2026-02-10","cited_by_count":5,"area":"agents"},{"id":"2603.09022","title":"MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games","created":"2026-03-09","cited_by_count":5,"area":"agents"},{"id":"2604.19440","title":"What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search","created":"2026-04-21","cited_by_count":5,"area":"agents"},{"id":"2605.15871","title":"Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design","created":"2026-05-15","cited_by_count":5,"area":"agents"},{"id":"2607.17100","title":"Auto Research for Materials: Auditable AI-Scientist Workflows with Held-Out Transfer","created":"2026-07-19","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":"2608.24735","title":"Meta$^n$: Recursive Self-Improvement through Emergent Depth","created":"2026-08-25","cited_by_count":5,"area":"agents"},{"id":"2510.10472","title":"FML-bench: Benchmarking Machine Learning Agents for Scientific Research","created":"2025-10-12","cited_by_count":4,"area":"agents"},{"id":"2511.16964","title":"Optimizing PyTorch Inference with LLM-Based Multi-Agent Systems","created":"2025-11-21","cited_by_count":4,"area":"agents"},{"id":"2512.09108","title":"Evolving Excellence: Automated Optimization of LLM-based Agents","created":"2025-12-09","cited_by_count":4,"area":"agents"},{"id":"2602.01550","title":"S1-NexusAgent: a Self-Evolving Agent Framework for Multidisciplinary Scientific Research","created":"2026-02-02","cited_by_count":4,"area":"agents"},{"id":"2602.16891","title":"OpenSage: Self-programming Agent Generation Engine","created":"2026-02-18","cited_by_count":4,"area":"agents"},{"id":"2602.21351","title":"A Hierarchical Multi-Agent System for Autonomous Discovery in Geoscientific Data Archives","created":"2026-02-24","cited_by_count":4,"area":"agents"},{"id":"2603.15914","title":"The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning","created":"2026-03-16","cited_by_count":4,"area":"agents"},{"id":"2605.06761","title":"Weblica: Scalable and Reproducible Training Environments for Visual Web Agents","created":"2026-05-07","cited_by_count":4,"area":"agents"},{"id":"2605.07039","title":"PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents","created":"2026-05-07","cited_by_count":4,"area":"agents"}],"next_cursor":"100"}