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Yamada et al.: tree-managed automated ML experimentation

Contribution grade

Automated ML experimentation systems · Human-designed research method or resource

Reference score70,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Replaced fixed experiment templates with an experiment-manager agent and progressive experiment tree search, adding vision-language feedback for figure/content refinement.

Scientific scope

Replaced fixed experiment templates with an experiment-manager agent and progressive experiment tree search, adding vision-language feedback for figure/content refinement. Agentic tools, tree search and prior AIScientist workflow are inherited. Acquired delta is template-independent experiment management, not a per-version paper-writing release. Reported workshop acceptance concerns a specific submitted manuscript, not all generated science or WRS acceptance. No new experiment or submission performed.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Agentic tools, tree search and prior AIScientist workflow are inherited. Acquired delta is template-independent experiment management, not a per-version paper-writing release. Reported workshop acceptance concerns a specific submitted manuscript, not all generated science or WRS acceptance. No new experiment or submission performed.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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