{"total":35,"rows":[{"id":"2608.27454","title":"WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution","created":"2026-08-27","cited_by_count":12,"area":null},{"id":"2609.00829","title":"HarnessEvolve: Learning from Reference Trajectories for Reliable Agent Self-Evolution","created":"2026-09-01","cited_by_count":9,"area":null},{"id":"2607.18235","title":"Automated Discovery Has No Universally Superior Harness","created":"2026-07-20","cited_by_count":6,"area":null},{"id":"2608.13417","title":"Beyond Final Scores: A Systematic Evaluation of Agents for Long-Horizon AI Research and Development","created":"2026-08-13","cited_by_count":4,"area":null},{"id":"2608.26530","title":"PILOT in the Loop: Live Self-Improvement for Long-Horizon Agents","created":"2026-08-27","cited_by_count":4,"area":null},{"id":"2607.28691","title":"Code Is the Body: Agent-Owned Software Bodies for Recursive Evolution and Descent","created":"2026-07-30","cited_by_count":3,"area":null},{"id":"2608.19072","title":"What is Missing from AI Post-Training AI: An Empirical Analysis","created":"2026-08-19","cited_by_count":2,"area":null},{"id":"2609.06396","title":"MetaRSI / RSI2: A Meta-Recursive Self-Improving System for Recursive Self-Improving Systems Themselves","created":"2026-09-06","cited_by_count":2,"area":null},{"id":"2609.08175","title":"A Theory of Reliable Self-Evolution for Agent Harnesses","created":"2026-09-08","cited_by_count":2,"area":null},{"id":"2608.15089","title":"StateM: Reaching 95.3% Raw Accuracy, or a \\$15 Frontier Run, on Terminal-Bench 2.1 via Harness Scaling","created":"2026-08-15","cited_by_count":1,"area":null},{"id":"2608.19047","title":"Eureka: Task-Conditioned Meta-Agent Orchestration for Scientific Discovery","created":"2026-08-19","cited_by_count":1,"area":null},{"id":"2609.09646","title":"RobustSGPO: Search-Space Control for Agent Harness Evolution","created":"2026-09-09","cited_by_count":1,"area":null},{"id":"2609.28908","title":"Automatic Harness Evolution for Hardware Design Verification: Can LLMs Consolidate Gains Across Discovered Harnesses?","created":"2026-09-24","cited_by_count":1,"area":null},{"id":"2609.35873","title":"More Programs or More Rolls? Separating Coverage from Specialization in LLM Harnesses","created":"2026-09-26","cited_by_count":1,"area":null},{"id":"2610.02826","title":"Scaling Trajectories for Complex Tasks through Recursive Self-Rewrite","created":"2026-10-02","cited_by_count":1,"area":null},{"id":"2610.08432","title":"EMHO: EMbodied Agent Harness Optimization via Experience Traces","created":"2026-10-06","cited_by_count":1,"area":null},{"id":"2610.10426","title":"CoTrace: Data Recipes for Training Terminal Agents with Harness-Model Co-Evolution","created":"2026-10-07","cited_by_count":1,"area":null},{"id":"2606.28270","title":"Agent-Native Immune System: Architecture, Taxonomy, and Engineering","created":"2026-06-26","cited_by_count":0,"area":null},{"id":"2608.09480","title":"From Prompt to Harness: Coderlet from Scratch","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.15138","title":"ReForge: Keeping ABR Algorithms Never Finished with Verified Large Language Model Edits","created":"2026-08-15","cited_by_count":0,"area":null},{"id":"2609.33123","title":"Compositional Safety Failures in Harness Evolution: Identification and Runtime Monitoring","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.34988","title":"The Right Lesson at the Right Step: Deriving Control Updates for Self-Evolving Agents","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.35290","title":"EvoIn: Bridging Evolution and Internalization for Agent Fine-Tuning","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.35561","title":"RSI-Master: Structuring Experiments to Guide Autonomous Model Improvement","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.35855","title":"Mara Chain: Rethinking Failure as a Stepping Stone for AI System Auto-Evolution","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2609.37834","title":"Mixture of Self-Improving Branches For Agent Harness Optimization","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.40330","title":"Turbo Harness: Instance-Adaptive Harness Optimization","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.08995","title":"PhysEvo: Astra Can Act, Let It","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.10310","title":"RSIGym: A Flexible Environment for Recursive Self-Improvement","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.13991","title":"Predict Before You Modify: Learning Improvement Dynamics for Self-Evolving Agents","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2610.14625","title":"From Existing Methods to New Research Ideas: Two Perspectives on Recursive Self-Improvement","created":"2026-10-10","cited_by_count":0,"area":null},{"id":"2610.15389","title":"VideoEvoHarness: Self Evolving Agent Harness from Unlabeled Videos for Video Understanding","created":"2026-10-11","cited_by_count":0,"area":null},{"id":"2610.17370","title":"HarnessTTT: Learn to Optimize Harness at Test-Time for Scientific Discovery","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.18813","title":"Self-Evolving Agent Harness","created":"2026-10-13","cited_by_count":0,"area":null},{"id":"2610.20099","title":"EvalBuilder: Can LLMs Build Efficient Benchmarks?","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}