Cited by: GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
9 citation edges inside this catalog. A title match is weaker evidence than an identifier match. Zero entries does not mean no citations on the web.
- Meta Context Engineering via Agentic Skill Evolution
arxiv:2601.21557· evidence: id - Meta-Harness: End-to-End Optimization of Model Harnesses
arxiv:2603.28052· evidence: id - Structured Scaling of AI Discovery Across Diverse Scientific Domains
arxiv:2604.19341· evidence: id - Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses
arxiv:2604.25850· evidence: title - Harnessing Agentic Evolution
arxiv:2605.13821· evidence: id - Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams
arxiv:2606.01770· evidence: id - When Does Continual Learning Require Learning
arxiv:2607.07847· evidence: id - Self-Improvements in Modern Agentic Systems: A Survey
arxiv:2607.13104· evidence: title - Harnesses for models (Lilian Weng, 2026)
url:lilianweng.github.io/posts/2026-07-04-harness· evidence: id