What problem does it solve?
Converts scattered review conclusions and experiment results into a coherent, section-by-section paper outline that fits a target venue and supports evidence-grounded writing.
Core Features & Use Cases
- Evidence-first outlining: Builds a claims-evidence matrix and plans each section around what is supported by your narrative and experiment assets.
- Venue-aware structure: Selects a structure and page budget using the configured venue norms (e.g., ICLR/NeurIPS/ICML vs IEEE page counting).
- Optional style profiling: When provided, uses a style reference to shape the structural slotting (section topology, density targets) and emits a gap report to avoid fabricating missing evidence.
- Reviewer cross-check: Submits the draft outline for review against logic flow, claim-evidence alignment, missing analysis, positioning, and feasibility.
Quick Start
Ask the AI to generate a paper outline by running /paper-plan for your project, targeting the venue you plan to submit to.