SOURCE-LINKED INTELLIGENCE

Constraint-Safe Graph-Context Scoring for Stable Point-Feature Labels Under Text-Width and Accessibility-Inspired Profiles

arXiv · AI, language, vision and robotics · article · Sep 17, 2026 · UTC

Point-feature label placement on interactive maps must reconcile geometric validity, display yield, local placement utility, and stability across camera motion. Accessibility and multilingual requirements further change label dimensions, yet algorithmic evaluations often collapse these concerns into overlap counts. We present LABELSENSE-Pilot, a reproducible prototype that generates eight compass candidates per feature, scores candidates with a multilayer perceptron over graph-context summaries, adds a previous-placement bonus, and selects a layout through mixed-integer optimization. The execu

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Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-09-17T08:00:00.000Z
arXiv · Artificial Intelligence · 2026-09-17T08:00:00.000Z

First collected: 2026-09-19T20:26:32.566Z. This is not the publication date.