{"total":77,"rows":[{"id":"2603.08754","title":"Hindsight Credit Assignment for Long-Horizon LLM Agents","created":"2026-03-07","cited_by_count":65,"area":"agents"},{"id":"2511.14460","title":"Agent-R1: A Unified and Modular Framework for Agentic Reinforcement Learning","created":"2025-11-18","cited_by_count":29,"area":"agents"},{"id":"2602.02488","title":"RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System","created":"2026-02-02","cited_by_count":24,"area":"agents"},{"id":"2604.09459","title":"From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large Language Models","created":"2026-04-10","cited_by_count":23,"area":"lr"},{"id":"2601.22154","title":"Exploring Reasoning Reward Model for Agents","created":"2026-01-29","cited_by_count":15,"area":"agents"},{"id":"2602.17037","title":"Wink: Recovering from Misbehaviors in Coding Agents","created":"2026-02-19","cited_by_count":15,"area":"agents"},{"id":"2601.12560","title":"Agentic Artificial Intelligence (AI): Architectures, Taxonomies, and Evaluation of Large Language Model Agents","created":"2026-01-18","cited_by_count":14,"area":"agents"},{"id":"2603.00656","title":"InfoPO: Information-Driven Policy Optimization for User-Centric Agents","created":"2026-02-28","cited_by_count":12,"area":"agents"},{"id":"2605.11853","title":"GEAR: Granularity-Adaptive Advantage Reweighting for LLM Agents via Self-Distillation","created":"2026-05-12","cited_by_count":12,"area":"lr"},{"id":"2603.19685","title":"A Subgoal-driven Framework for Improving Long-Horizon LLM Agents","created":"2026-03-20","cited_by_count":11,"area":"agents"},{"id":"2605.08715","title":"AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems","created":"2026-05-09","cited_by_count":11,"area":"agents"},{"id":"2605.27761","title":"AndroidDaily: A Verifiable Benchmark for Mobile GUI Agents on Real-World Closed-Source Applications","created":"2026-05-26","cited_by_count":10,"area":"agents"},{"id":"2605.13217","title":"GAGPO: Generalized Advantage Grouped Policy Optimization","created":"2026-05-13","cited_by_count":9,"area":"agents"},{"id":"2607.22724","title":"Progress-conditioned Group Policy Optimization for Long-Horizon Agentic Tasks","created":"2026-07-22","cited_by_count":9,"area":"agents"},{"id":"2603.18683","title":"HISR: Hindsight Information Modulated Segmental Process Rewards For Multi-turn Agentic Reinforcement Learning","created":"2026-03-19","cited_by_count":8,"area":"agents"},{"id":"2605.19433","title":"Backtracking When It Strays: Mitigating Dual Exposure Biases in LLM Reasoning Distillation","created":"2026-05-19","cited_by_count":8,"area":"lr"},{"id":"2608.06346","title":"TRAJDEBUG: Tracing Error Lifecycle to Identify Critical Failures in Long-Horizon Agent Trajectories","created":"2026-08-06","cited_by_count":8,"area":"agents"},{"id":"2602.11767","title":"TSR: Trajectory-Search Rollouts for Multi-Turn RL of LLM Agents","created":"2026-02-12","cited_by_count":7,"area":"agents"},{"id":"2604.04399","title":"GUIDE: Interpretable GUI Agent Evaluation via Hierarchical Diagnosis","created":"2026-04-06","cited_by_count":7,"area":"agents"},{"id":"2606.09071","title":"REFLECT: Intervention-Supported Error Attribution for Silent Failures in LLM Agent Traces","created":"2026-06-08","cited_by_count":7,"area":"agents"},{"id":"2602.04454","title":"Seg-ReSearch: Segmentation with Interleaved Reasoning and External Search","created":"2026-02-04","cited_by_count":6,"area":"lr"},{"id":"2604.07941","title":"Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning","created":"2026-04-09","cited_by_count":6,"area":null},{"id":"2605.02572","title":"On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length","created":"2026-05-04","cited_by_count":6,"area":null},{"id":"2606.05684","title":"AdaMEM: Test-Time Adaptive Memory for Language Agents","created":"2026-06-04","cited_by_count":6,"area":"agents"},{"id":"2606.14302","title":"Retrospective Progress-Aware Self-Refinement for LLM Agent Training","created":"2026-06-12","cited_by_count":6,"area":"agents"},{"id":"2606.26080","title":"Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents","created":"2026-06-24","cited_by_count":6,"area":"lr"},{"id":"2602.07773","title":"SRR-Judge: Step-Level Rating and Refinement for Enhancing Search-Integrated Reasoning in Search Agents","created":"2026-02-08","cited_by_count":5,"area":"lr"},{"id":"2603.02798","title":"Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification","created":"2026-03-03","cited_by_count":5,"area":"agents"},{"id":"2604.24198","title":"Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis","created":"2026-04-27","cited_by_count":5,"area":"lr"},{"id":"2605.17877","title":"PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization","created":"2026-05-18","cited_by_count":5,"area":"lr"},{"id":"2607.06184","title":"What Resolve Rate Hides: Trajectory Structure Diagnostics for Coding Agents","created":"2026-07-07","cited_by_count":5,"area":"agents"},{"id":"2608.03222","title":"Fail-Fast, Restart-Smart: Early Failure Prediction and Restart for SWE Agentic Tasks","created":"2026-08-04","cited_by_count":5,"area":"agents"},{"id":"2603.16253","title":"Grounding the Score: Explicit Visual Premise Verification for Reliable Vision-Language Process Reward Models","created":"2026-03-17","cited_by_count":4,"area":"lr"},{"id":"2604.00835","title":"Agentic Tool Use in Large Language Models","created":"2026-04-01","cited_by_count":4,"area":"agents"},{"id":"2606.21262","title":"ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents","created":"2026-06-19","cited_by_count":4,"area":"agents"},{"id":"2603.18859","title":"RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models","created":"2026-03-19","cited_by_count":3,"area":"lr"},{"id":"2604.27955","title":"GUI Agents with Reinforcement Learning: Toward Digital Inhabitants","created":"2026-04-30","cited_by_count":3,"area":"agents"},{"id":"2605.08778","title":"Not All Turns Matter: Credit Assignment for Multi-Turn Jailbreaking","created":"2026-05-09","cited_by_count":3,"area":"safety"},{"id":"2605.09934","title":"TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents","created":"2026-05-11","cited_by_count":3,"area":"mllm"},{"id":"2607.25308","title":"CAST: Game Solvers as Turn-Level Teachers for LLM Agents","created":"2026-07-28","cited_by_count":3,"area":"agents"},{"id":"2602.04210","title":"Steering LLMs via Scalable Interactive Oversight","created":"2026-02-04","cited_by_count":2,"area":null},{"id":"2605.16604","title":"R2V Agent: Teaching SLMs When to Ask for Help","created":"2026-05-15","cited_by_count":2,"area":"agents"},{"id":"2606.04579","title":"SCI-PRM: A Tool Aware Process Reward Model for Scientific Reasoning Verification","created":"2026-06-03","cited_by_count":2,"area":"lr"},{"id":"2606.07027","title":"StainFlow: Entity-Stain Tracking and Evidence Linking for Process Rewards in GUI Agents","created":"2026-06-05","cited_by_count":2,"area":"agents"},{"id":"2608.21027","title":"Don't Solve, Just Compare: Tiny Advisors for Runtime Intervention in LLM Agents","created":"2026-08-21","cited_by_count":2,"area":"agents"},{"id":"2609.05837","title":"AgentBrew: Offline Tool-Use Agent Learning from Raw Real-World Trajectories","created":"2026-09-05","cited_by_count":2,"area":"agents"},{"id":"2604.03098","title":"Co-Evolution of Policy and Internal Reward for Language Agents","created":"2026-04-03","cited_by_count":1,"area":"agents"},{"id":"2606.25852","title":"Semantic Consistency Policy Optimization for Reinforcement Learning of LLM Agents","created":"2026-06-24","cited_by_count":1,"area":"agents"},{"id":"2608.02694","title":"Crayotter: Learning Long-Horizon Video Editing Agents via Group-Relative Preference Backpropagation","created":"2026-08-03","cited_by_count":1,"area":null},{"id":"2608.06663","title":"The Horizon Gap: Planning, Memory, Execution, Training, and Evaluation for Long-Horizon LLM Agents","created":"2026-08-07","cited_by_count":1,"area":"lr"},{"id":"2608.15930","title":"UI-Mate: Advancing Open-Weight Foundation GUI Agents with In-Context Demonstrations","created":"2026-08-16","cited_by_count":1,"area":"agents"},{"id":"2608.29519","title":"FuncRoom-Agent: Sequential Feed-Forward 3D Functional Indoor Scene Generation","created":"2026-08-30","cited_by_count":1,"area":null},{"id":"2609.21378","title":"ArenaFlow: From Trajectory Ranking to Hierarchical Credit Propagation for Open-Ended Agent RL","created":"2026-09-18","cited_by_count":1,"area":"agents"},{"id":"2606.25451","title":"Learning with a Single Rollout via Pass@k Policy Optimization","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2607.11433","title":"Omni-Decision: Evidence-Ledger Planning for Omni-Modal Agents","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2608.07531","title":"Search-G1: Grounded Search Agents via Representation-Based Intrinsic Rewards","created":"2026-07-24","cited_by_count":0,"area":"agents"},{"id":"2608.28128","title":"VICT: Verifier-Instrumented Credit Tracing for Long-Horizon LLM Agent Reinforcement Learning","created":"2026-08-28","cited_by_count":0,"area":"agents"},{"id":"2608.28421","title":"Program Learning with Verifiable Rewards: Symbolic Backpropagation for Post-Training LLMs","created":"2026-08-28","cited_by_count":0,"area":null},{"id":"2609.10052","title":"Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training","created":"2026-09-09","cited_by_count":0,"area":"agents"},{"id":"2609.14422","title":"Safety Signals to Verify NetOps Agents with Action-Level Granularity","created":"2026-09-13","cited_by_count":0,"area":"agents"},{"id":"2609.24985","title":"Critical-State RL: Diagnosing Trainable States for Multi-Turn Tool Use","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.27532","title":"ProCredit: From Outcome Rewards to Progress Credit in Agentic Reinforcement Learning","created":"2026-09-23","cited_by_count":0,"area":"agents"},{"id":"2609.28963","title":"Back to the Definition: Estimating Step-Level Advantages via Trajectory Graphs for Agentic Reinforcement Learning","created":"2026-09-24","cited_by_count":0,"area":"lr"},{"id":"2609.34557","title":"SkillRubric: Co-Evolving Actor Guidance and Evaluator Rubrics for Multimodal Agents","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.36371","title":"LatentSift: Policy-State Filtering for Token-Efficient Verification of Software Engineering Agents","created":"2026-09-28","cited_by_count":0,"area":"lr"},{"id":"2609.37176","title":"Absorbed in Inertia: Activation Analysis for Computer-Use Agents","created":"2026-09-29","cited_by_count":0,"area":"agents"},{"id":"2610.01161","title":"My FAULT: Self-Diagnosis as Credit Assignment in Self-Evolving Agentic Reinforcement Learning","created":"2026-10-01","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":"2610.03634","title":"Credit Where It Matters: Dependency-Aware Policy Optimization for Terminal Agents","created":"2026-10-02","cited_by_count":0,"area":"deeprl"},{"id":"2610.04991","title":"CIPO: Counterfactual Imagination Policy Optimization for Adaptive Tool Granularity Selection","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.09560","title":"World Potential Model: Pretrained World Knowledge as Progress Potentials","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.09858","title":"Training Advisors for LLM Agents from Task Outcomes","created":"2026-10-07","cited_by_count":0,"area":"agents"},{"id":"2610.15840","title":"LLM Value Functions for Credit Assignment in Agentic RL","created":"2026-10-11","cited_by_count":0,"area":"agents"},{"id":"2610.16027","title":"Of Errors and Echoes: Responsibility-Aware Credit Assignment for Tool-Use Agents","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.18067","title":"WorkRover: Scaling Long-Horizon Cowork Agent Training Via Recursive Environment Evolution","created":"2026-10-13","cited_by_count":0,"area":null},{"id":"2610.19148","title":"Compiling Expert Procedures into Verified Programs: When a Small Model Is Enough","created":"2026-10-13","cited_by_count":0,"area":null},{"id":"2610.20597","title":"Co-Evolving Acting and Forecasting for Language Agents","created":"2026-10-14","cited_by_count":0,"area":"agents"}],"next_cursor":null}