{"total":131,"rows":[{"id":"2507.05257","title":"Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions","created":"2025-07-07","cited_by_count":254,"area":"agents"},{"id":"2509.02547","title":"The Landscape of Agentic Reinforcement Learning for LLMs: A Survey","created":"2025-09-02","cited_by_count":205,"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":"2508.16153","title":"Memento: Fine-tuning LLM Agents without Fine-tuning LLMs","created":"2025-08-22","cited_by_count":127,"area":"agents"},{"id":"2507.13334","title":"A Survey of Context Engineering for Large Language Models","created":"2025-07-17","cited_by_count":126,"area":null},{"id":"2508.05748","title":"WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent","created":"2025-08-07","cited_by_count":119,"area":"agents"},{"id":"2509.03312","title":"AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?","created":"2025-09-03","cited_by_count":116,"area":"agents"},{"id":"2512.18746","title":"MemEvolve: Meta-Evolution of Agent Memory Systems","created":"2025-12-21","cited_by_count":95,"area":"agents"},{"id":"2507.06229","title":"Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving","created":"2025-07-08","cited_by_count":94,"area":"agents"},{"id":"2508.13167","title":"Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL","created":"2025-08-06","cited_by_count":80,"area":"lr"},{"id":"2507.07998","title":"PyVision: Agentic Vision with Dynamic Tooling","created":"2025-07-10","cited_by_count":79,"area":"agents"},{"id":"2511.20639","title":"Latent Collaboration in Multi-Agent Systems","created":"2025-11-25","cited_by_count":73,"area":"lr"},{"id":"2510.05592","title":"In-the-Flow Agentic System Optimization for Effective Planning and Tool Use","created":"2025-10-07","cited_by_count":72,"area":"lr"},{"id":"2509.13305","title":"WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning","created":"2025-09-16","cited_by_count":61,"area":"lr"},{"id":"2510.03215","title":"Cache-to-Cache: Direct Semantic Communication Between Large Language Models","created":"2025-10-03","cited_by_count":61,"area":"inference"},{"id":"2510.08191","title":"Training-Free Group Relative Policy Optimization","created":"2025-10-09","cited_by_count":55,"area":"lr"},{"id":"2511.21689","title":"ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration","created":"2025-11-26","cited_by_count":47,"area":null},{"id":"2507.21206","title":"Agentic Web: Weaving the Next Web with AI Agents","created":"2025-07-28","cited_by_count":45,"area":"agents"},{"id":"2508.00414","title":"Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training","created":"2025-08-01","cited_by_count":42,"area":"agents"},{"id":"2508.13186","title":"MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents","created":"2025-08-14","cited_by_count":42,"area":"agents"},{"id":"2602.03786","title":"AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration","created":"2026-02-03","cited_by_count":35,"area":"agents"},{"id":"2508.02694","title":"Efficient Agents: Building Effective Agents While Reducing Cost","created":"2025-07-24","cited_by_count":32,"area":"agents"},{"id":"2506.14728","title":"AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes","created":"2025-06-17","cited_by_count":30,"area":"agents"},{"id":"2506.15741","title":"OAgents: An Empirical Study of Building Effective Agents","created":"2025-06-17","cited_by_count":29,"area":"agents"},{"id":"2510.08529","title":"CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards","created":"2025-10-09","cited_by_count":29,"area":"agents"},{"id":"2509.25301","title":"Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution","created":"2025-09-29","cited_by_count":27,"area":"agents"},{"id":"2506.03011","title":"Coding Agents with Multimodal Browsing are Generalist Problem Solvers","created":"2025-06-03","cited_by_count":25,"area":"agents"},{"id":"2601.15808","title":"Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification","created":"2026-01-22","cited_by_count":22,"area":"lr"},{"id":"2510.20168","title":"DeepWideSearch: Benchmarking Depth and Width in Agentic Information Seeking","created":"2025-10-23","cited_by_count":21,"area":"agents"},{"id":"2511.19304","title":"AutoEnv: Automated Environments for Measuring Cross-Environment Agent Learning","created":"2025-11-24","cited_by_count":20,"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":"2607.05804","title":"TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training","created":"2026-07-07","cited_by_count":17,"area":"distill"},{"id":"2508.16260","title":"MCPVerse: An Expansive, Real-World Benchmark for Agentic Tool Use","created":"2025-08-22","cited_by_count":16,"area":"agents"},{"id":"2509.25106","title":"Towards Personalized Deep Research: Benchmarks and Evaluations","created":"2025-09-29","cited_by_count":16,"area":"agents"},{"id":"2601.02695","title":"EvoRoute: Experience-Driven Self-Routing LLM Agent Systems","created":"2026-01-06","cited_by_count":16,"area":"agents"},{"id":"2601.06818","title":"AgentHallu: Benchmarking Automated Hallucination Attribution of LLM-based Agents","created":"2026-01-11","cited_by_count":16,"area":"agents"},{"id":"2510.23564","title":"ReCode: Unify Plan and Action for Universal Granularity Control","created":"2025-10-27","cited_by_count":15,"area":null},{"id":"2602.22808","title":"MiroFlow: Towards High-Performance and Robust Open-Source Agent Framework for General Deep Research Tasks","created":"2026-02-26","cited_by_count":15,"area":"agents"},{"id":"2509.06733","title":"Reinforcement Learning Foundations for Deep Research Systems: A Survey","created":"2025-09-08","cited_by_count":14,"area":"lr"},{"id":"2601.07468","title":"Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents","created":"2026-01-12","cited_by_count":14,"area":"agents"},{"id":"2601.10955","title":"Beyond Max Tokens: Stealthy Resource Amplification via Tool Calling Chains in LLM Agents","created":"2026-01-16","cited_by_count":14,"area":"agents"},{"id":"2508.11582","title":"Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Extreme Reasoning Efficiency in Large Language Models","created":"2025-08-15","cited_by_count":13,"area":"lr"},{"id":"2601.05890","title":"StackPlanner: A Centralized Hierarchical Multi-Agent System with Task-Experience Memory Management","created":"2026-01-09","cited_by_count":13,"area":"agents"},{"id":"2510.26585","title":"Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems","created":"2025-10-30","cited_by_count":12,"area":"agents"},{"id":"2601.18467","title":"OffSeeker: Online Reinforcement Learning Is Not All You Need for Deep Research Agents","created":"2026-01-26","cited_by_count":12,"area":"agents"},{"id":"2510.25320","title":"GAP: Graph-Based Agent Planning with Parallel Tool Use and Reinforcement Learning","created":"2025-10-29","cited_by_count":11,"area":"agents"},{"id":"2512.01948","title":"How Far Are We from Genuinely Useful Deep Research Agents?","created":"2025-12-01","cited_by_count":11,"area":"agents"},{"id":"2508.04026","title":"VeriWeb: Verifiable Long-Chain Web Benchmark for Agentic Information-Seeking","created":"2025-08-06","cited_by_count":10,"area":"agents"},{"id":"2510.08521","title":"FlowSearch: Advancing deep research with dynamic structured knowledge flow","created":"2025-10-09","cited_by_count":10,"area":null},{"id":"2604.25917","title":"Recursive Multi-Agent Systems","created":"2026-04-28","cited_by_count":10,"area":"agents"},{"id":"2507.11988","title":"Aime: Towards Fully-Autonomous Multi-Agent Framework","created":"2025-07-16","cited_by_count":9,"area":"agents"},{"id":"2510.16844","title":"FinSight: Towards Real-World Financial Deep Research","created":"2025-10-19","cited_by_count":9,"area":null},{"id":"2602.04634","title":"WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning","created":"2026-02-04","cited_by_count":9,"area":"agents"},{"id":"2602.13477","title":"OMNI-LEAK: Orchestrator Multi-Agent Network Induced Data Leakage","created":"2026-02-13","cited_by_count":9,"area":"agents"},{"id":"2602.15382","title":"The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems","created":"2026-02-17","cited_by_count":9,"area":"lr"},{"id":"2508.21720","title":"PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation","created":"2025-08-29","cited_by_count":8,"area":null},{"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":"2508.09848","title":"PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts","created":"2025-08-13","cited_by_count":7,"area":"lr"},{"id":"2510.07861","title":"Understanding DeepResearch via Reports","created":"2025-10-09","cited_by_count":7,"area":"agents"},{"id":"2604.06376","title":"MTA-Agent: An Open Recipe for Multimodal Deep Search Agents","created":"2026-04-07","cited_by_count":7,"area":"mllm"},{"id":"2510.07709","title":"Multimodal Safety Evaluation in Generative Agent Social Simulations","created":"2025-10-09","cited_by_count":6,"area":"agents"},{"id":"2603.21522","title":"Efficient Failure Management for Multi-Agent Systems with Reasoning Trace Representation","created":"2026-03-23","cited_by_count":6,"area":"lr"},{"id":"2604.07791","title":"SEARL: Joint Optimization of Policy and Tool Graph Memory for Self-Evolving Agents","created":"2026-04-09","cited_by_count":6,"area":"agents"},{"id":"2510.19631","title":"HSCodeComp: A Realistic and Expert-level Benchmark for Deep Search Agents in Hierarchical Rule Application","created":"2025-10-22","cited_by_count":5,"area":"agents"},{"id":"2512.02321","title":"LeechHijack: Covert Computational Resource Exploitation in Intelligent Agent Systems","created":"2025-12-02","cited_by_count":5,"area":"agents"},{"id":"2512.04129","title":"Don't Trust Your Upstream: Exploiting LLM Multi-Agent System via Topology-Guided Adversarial Propagation","created":"2025-12-03","cited_by_count":5,"area":"agents"},{"id":"2601.23219","title":"MonoScale: Scaling Multi-Agent System with Monotonic Improvement","created":"2026-01-30","cited_by_count":5,"area":"agents"},{"id":"2602.22675","title":"Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization","created":"2026-02-26","cited_by_count":5,"area":"agents"},{"id":"2604.02971","title":"InfoSeeker: A Scalable Hierarchical Parallel Agent Framework for Web Information Seeking","created":"2026-04-03","cited_by_count":5,"area":"agents"},{"id":"2607.21522","title":"GS-Agent: Creating 4D Physical Worlds With Generative Simulation","created":"2026-07-23","cited_by_count":5,"area":"agents"},{"id":"2508.07745","title":"Chimera: Harnessing Multi-Agent LLMs for Automatic Insider Threat Simulation","created":"2025-08-11","cited_by_count":4,"area":"agents"},{"id":"2508.20018","title":"SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control","created":"2025-08-27","cited_by_count":4,"area":"lr"},{"id":"2510.05145","title":"Efficient Tree-Structured Deep Research with Adaptive Resource Allocation","created":"2025-10-02","cited_by_count":4,"area":"agents"},{"id":"2510.19286","title":"TheMCPCompany: Creating General-purpose Agents with Task-specific Tools","created":"2025-10-22","cited_by_count":4,"area":"agents"},{"id":"2512.11303","title":"Unifying Dynamic Tool Creation and Cross-Task Experience Sharing through Cognitive Memory Architecture","created":"2025-12-12","cited_by_count":4,"area":"agents"},{"id":"2601.14914","title":"CodeDelegator: Mitigating Context Pollution via Role Separation in Code-as-Action Agents","created":"2026-01-21","cited_by_count":4,"area":"agents"},{"id":"2602.07187","title":"PreFlect: From Retrospective to Prospective Reflection in Large Language Model Agents","created":"2026-02-06","cited_by_count":4,"area":"agents"},{"id":"2605.29790","title":"Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems","created":"2026-05-28","cited_by_count":4,"area":"agents"},{"id":"2509.00189","title":"HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution","created":"2025-08-29","cited_by_count":3,"area":"agents"},{"id":"2509.13903","title":"PhysicalAgent: Towards General Cognitive Robotics with Foundation World Models","created":"2025-09-17","cited_by_count":3,"area":"wm"},{"id":"2509.24323","title":"MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems","created":"2025-09-29","cited_by_count":3,"area":"agents"},{"id":"2510.12194","title":"ResearStudio: A Human-Intervenable Framework for Building Controllable Deep-Research Agents","created":"2025-10-14","cited_by_count":3,"area":"agents"},{"id":"2512.23328","title":"CubeBench: Diagnosing Interactive, Long-Horizon Spatial Reasoning Under Partial Observations","created":"2025-12-29","cited_by_count":3,"area":"lr"},{"id":"2601.21654","title":"ScholarGym: Benchmarking Large Language Model Capabilities in the Information-Gathering Stage of Deep Research","created":"2026-01-29","cited_by_count":3,"area":null},{"id":"2604.04017","title":"GeoBrowse: A Geolocation Benchmark for Agentic Tool Use with Expert-Annotated Reasoning Traces","created":"2026-04-05","cited_by_count":3,"area":"lr"},{"id":"2605.07180","title":"Learning Agent Routing From Early Experience","created":"2026-05-08","cited_by_count":3,"area":"agents"},{"id":"2605.29861","title":"Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation","created":"2026-05-28","cited_by_count":3,"area":"agents"},{"id":"2606.01725","title":"Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation","created":"2026-06-01","cited_by_count":3,"area":"agents"},{"id":"2607.05174","title":"AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments","created":"2026-07-06","cited_by_count":3,"area":"agents"},{"id":"2607.21361","title":"FedAgentKE: Federated Semantic Knowledge Evolution for Heterogeneous Agents","created":"2026-07-23","cited_by_count":3,"area":"agents"},{"id":"2608.21156","title":"Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence","created":"2026-08-21","cited_by_count":3,"area":"agents"},{"id":"2601.04879","title":"Mind2Report: Expert-Level Commercial Report Synthesis via Cognitive Deep Research Agent","created":"2026-01-08","cited_by_count":2,"area":"agents"},{"id":"2601.09883","title":"Beyond Rule-Based Workflows: An Information-Flow-Orchestrated Multi-Agents Paradigm via Agent-to-Agent Communication from CORAL","created":"2026-01-14","cited_by_count":2,"area":"agents"},{"id":"2602.07839","title":"TodoEvolve: Learning to Architect Agent Planning Systems","created":"2026-02-08","cited_by_count":2,"area":null},{"id":"2608.04458","title":"Architectural Implications of Agentic AI Workflows","created":"2026-08-05","cited_by_count":2,"area":"agents"},{"id":"2506.19502","title":"MATE: LLM-Powered Multi-Agent Translation Environment for Accessibility Applications","created":"2025-06-24","cited_by_count":1,"area":"agents"},{"id":"2510.08959","title":"DualResearch: Entropy-Gated Dual-Graph Retrieval for Answer Reconstruction","created":"2025-10-10","cited_by_count":1,"area":"lr"},{"id":"2601.23027","title":"Divide-and-Conquer CoT: RL for Reducing Latency via Parallel Reasoning","created":"2026-01-30","cited_by_count":1,"area":"lr"},{"id":"2602.07883","title":"ToolSelf: Unifying Task Execution and Self-Reconfiguration via Tool-Driven Emergent Adaptation","created":"2026-02-08","cited_by_count":1,"area":"agents"},{"id":"2602.21143","title":"A Benchmark for Deep Information Synthesis","created":"2026-02-24","cited_by_count":1,"area":null}],"next_cursor":"100"}