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Run detect_graphic_elements() in the grid pipeline after image loading and remove ALL words whose centroids fall inside detected graphic regions, regardless of confidence. Previously only low-confidence words (conf < 50) were removed, letting artifacts like "Tr", "Su" survive. Changes: - grid_editor_api.py: Import and call detect_graphic_elements() at Step 3a, passing only significant words (len >= 3) to avoid short artifacts fooling the text-vs-graphic heuristic. Hard-filter all words in graphic regions. - cv_graphic_detect.py: Lower density threshold from 20% to 5% for large regions (>100x80px) — photos/illustrations have low color saturation. Raise page-spanning limit from 50% to 60% width/height. Tested: 5 ground-truth sessions pass regression (079cd0d9, d8533a2c, 2838c7a7, 4233d7e3, 5997b635). Session 5997 now detects 2 graphic regions and removes 29 artifact words including "Tr" and "Su". Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>