VTO Taxonomy Knowledge Base

To classify visual typesetting defects in rendered PDF pages, apply a standardized visual typesetting defect taxonomy covering space utilization, float issues, consistency, overflow, and cross-template migration. This taxonomy assigns severity levels and generates structured JSON diagnosis reports for actionable repair routing.

Visual typesetting defect taxonomy in LaTeX is used for consistently identifying and classifying page-layout problems in rendered PDFs. It defines five specific defect categories with severity thresholds to ensure agents reliably produce actionable diagnostics for downstream repair routing.

To diagnose LaTeX overflow and alignment defects using compile.log, cross-check visual findings against compile.log signals like Overfull \hbox. This validates D-class overflow issues by matching specific log error messages with visual layout defects observed in PDF page renders.

To structure a visual diagnosis report for LaTeX PDF page rendering, output findings as a structured JSON report ordered by severity. Include defined evidence fields, severity assignments like Minor or Major, and unique defect_id mappings to enable downstream repair routing.

The severity levels for visual layout repair in PDF page rendering are Minor, Major, and Critical. These levels guide the prioritization of space utilization, float issues, consistency, and overflow defects, ensuring the JSON diagnosis report routes the most critical layout problems first.