paper-plan

To generate a paper outline from experiment results and narrative conclusions, feed inputs like NARRATIVE_REPORT.md, GPT54_AUTO_REVIEW.md, and EXPERIMENT_RESULTS into the system to extract core claims and produce a structured, venue-aware plan.

A claims-evidence matrix in academic writing maps extracted core claims to supporting experimental data, ensuring narrative conclusions and auto-review notes align with target venue structures before drafting the full manuscript.

Yes, you can create a venue-aware paper plan for ICLR, NeurIPS, ICML, CVPR, ACL, AAAI, and IEEE journals, mapping your section-by-section plan and figure-table guidance directly to the target venue's structural requirements.

To plan section-by-section paper drafts before writing, the system automates extraction of claims and evidence from narrative reports, building a structured outline complete with hero figure guidance to jump-start the manuscript.

The best way to structure research papers using auto-review notes is to process inputs like GPT54_AUTO_REVIEW.md alongside experiment results, generating a claims-evidence matrix and venue-specific section plans to accelerate writing.

Yes, providing formatted experiment data such as EXPERIMENT_RESULTS is necessary to build a paper outline, as the system relies on these inputs to map supporting evidence to claims and generate figure-table plans.