research-refine

Claim-driven validation produces minimal experiments that directly test core claims with focused baselines and ablations. This approach ensures your validation sketch tests the fundamental mechanism without creating an overbuilt benchmark plan.

Frontier-aware review is appropriate when your method plan needs to enforce parsimony, maintain contribution focus, and appropriately use foundation-model-era primitives. It iteratively reviews and tightens your proposal to ensure elegance and minimal adequate mechanisms.

The best way to sketch minimal experiments for an AI paper is to use claim-driven validation. This produces focused baselines and ablations that directly test core claims, avoiding overbuilt benchmark plans while satisfying implementation-oriented proposal requirements.

Yes, you can recover and resume your research proposal generation from a checkpoint. The refinement process produces checkpoint-resumable output artifacts, allowing you to pause and resume the iterative reviewer-based refinement without losing your anchored problem statement.