{"total":14,"rows":[{"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":"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":"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":"2602.04454","title":"Seg-ReSearch: Segmentation with Interleaved Reasoning and External Search","created":"2026-02-04","cited_by_count":6,"area":"lr"},{"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":"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":"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":"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":"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":"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":"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":"2609.36371","title":"LatentSift: Policy-State Filtering for Token-Efficient Verification of Software Engineering Agents","created":"2026-09-28","cited_by_count":0,"area":"lr"}],"next_cursor":null}