Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions
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Abstract (arXiv)
Self-evolving frameworks usually optimize task solutions while treating the surrounding harness as fixed. We introduce Harness-Aware Self-Evolving (HASE), an agentic reinforcement-learning framework in which a single model can generate task solutions or edit selected harness components in a multi-turn action space. HASE enables a single Qwen3-8B model to match the text-classification performance of a GPT-OSS-120B model that uses Claude Code as the harness proposer. In alpha factor mining, HASE outperforms the reported GPT-OSS-120B baseline. HASE also repairs imperfect evaluation components and converges to state-of-the-art performance in circle-packing algorithm discovery. These results show that HASE improves the harness and the solution through one unified agentic process.
Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 16 of its 22 references that are in the map. First posted on arXiv 4 Jul 2026.
Builds on
16 of 22 references.
References · 16
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4 more
- 2025ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolutioncited by 174
- 2026Learning to Discover at Test Timecited by 115
- 2025ThetaEvolve: Test-time Learning on Open Problemscited by 64
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Citing papers per year: 2026: 12.
12 papers.
- 2026Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectoriescited by 16
- 2026Hierarchical Self-Improvement: A Framework for Task-Specific Evolvable Agent Harnessescited by 7
- 2026SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignmentcited by 6
- 2026Harness-Zero: Harness Distillation via Agent-as-Harnesscited by 5
- 2026Auditing Harness Tampering in Self-Improving Agentscited by 4
- 2026Relay, Don't Route: Adaptive Population Handoff for Cost-Efficient LLM-Driven Evolutioncited by 2
- 2026RobustSGPO: Search-Space Control for Agent Harness Evolutioncited by 1
- 2026VERSE: Verified Self-Evolving Optimizer for Agent Harnessescited by 1
- 2026CoTrace: Data Recipes for Training Terminal Agents with Harness-Model Co-Evolutioncited by 1
- 2026Recursive Self-Improvement through Multi-Agent Self-Supervisioncited by 1
- 2026EverMine: Dissecting the Self-Evolution of Research Capabilities in Long-Horizon Alpha Researchcited by 0
- 2026HarnessTTT: Learn to Optimize Harness at Test-Time for Scientific Discoverycited by 0
- 2026HarnessTTT: Learn to Optimize Harness at Test-Time for Scientific Discovery12 Oct 2026
- 2026Recursive Self-Improvement through Multi-Agent Self-Supervision8 Oct 2026
- 2026CoTrace: Data Recipes for Training Terminal Agents with Harness-Model Co-Evolution7 Oct 2026
- 2026VERSE: Verified Self-Evolving Optimizer for Agent Harnesses2 Oct 2026
- 2026EverMine: Dissecting the Self-Evolution of Research Capabilities in Long-Horizon Alpha Research27 Sep 2026
- 2026Harness-Zero: Harness Distillation via Agent-as-Harness21 Sep 2026
- 2026RobustSGPO: Search-Space Control for Agent Harness Evolution9 Sep 2026
- 2026SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment2 Sep 2026
- 2026Auditing Harness Tampering in Self-Improving Agents30 Aug 2026
- 2026Hierarchical Self-Improvement: A Framework for Task-Specific Evolvable Agent Harnesses9 Aug 2026
- 2026Relay, Don't Route: Adaptive Population Handoff for Cost-Efficient LLM-Driven Evolution6 Aug 2026
- 2026Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories3 Aug 2026
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