What problem does it solve? Selecting which research papers are ready for journal submission requires manually checking quality scores, citation health, gate results, and PDF availability across many paper directories, which is error-prone and slow. ## Core Features & Use Cases - Candidate Ranking: Scans each paper's state.json for top-level quality_score, D10a, and Gates_result, then produces a submission priority list sorted by quality score with missing-item flags (needs supplement / no PDF). - Citation Health Anomaly Detection: Isolates papers with D10a=0 and separately checks orphans_count and zombies_count so anomalous papers are flagged instead of mixed into normal candidates. - Submission Preparation Checklist: Runs pdflatex to confirm 0 errors and 0 undefined references, creates and pushes a GitHub repository for G7 reproducibility, and verifies author affiliation and email. - Use Case: Given a directory of ophthalmology and neurology paper outputs, generate a ranked list of submission candidates (e.g., 147-lens-capsule-biomechanics-ODE at 96 down to bppv-canalith-relocation-ode at 95) and prepare the top paper's final PDF bundle. ## Quick Start Scan all papers under outputs/papers, rank them by quality score, flag any with missing items or citation anomalies, and prepare the top candidate for submission.
