Cited by: MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

8 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.

• What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity
  arxiv:2511.15593 · evidence: title
• Towards Execution-Grounded Automated AI Research
  arxiv:2601.14525 · evidence: title
• 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
• CEO-Bench: Can Agents Play the Long Game?
  arxiv:2606.18543 · evidence: title
• HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?
  arxiv:2609.01437 · evidence: id
• Harnesses for models (Lilian Weng, 2026)
  url:lilianweng.github.io/posts/2026-07-04-harness · evidence: id
• First evidence of recursive self-improvement (AIDE2, Weco)
  url:weco.ai/blog/first-evidence-of-recursive-self-improvement · evidence: id