research-refine

To refine a vague research idea into an implementable plan, define a Problem Anchor and run phase-based iterations using model-assisted critique to preserve the bottom-line problem while shaping a minimal proposal structure.

A Problem Anchor in research proposal refinement is a defined baseline constraint that preserves the core research problem across iterative review cycles, ensuring the final method plan remains focused and feasible for top-venue submission.

Structuring a minimal experiment plan for a top-venue research submission requires applying iterative, model-assisted critique to a base proposal, enforcing explicit feasibility constraints, and progressing through phase-wise checkpoints.

Yes, you can use Codex MCP to integrate external critique into your research method plan, generating structured feedback and traceable logs that drive phase-based refinement and finalization.

Persistent checkpoints are necessary for iterative research plan refinement because they maintain traceable state machine logs and round-based artifacts, ensuring the anchored problem focus remains intact throughout the review cycles.

You should not use an anchor-driven refinement workflow when your research direction lacks a defined Problem Anchor, as the phase-based proposal and review process strictly requires this baseline to enforce feasibility constraints and maintain focus.