International Journal of AI • ISSN: XXXX-XXXX • Vol. X, Issue X • 2026
Prompt Libraries for Scale (Map)
S.O. Meone1
D.J. Weaver2
A.N. Other3
1University of X ·
2University of Y ·
3University of Z
Abstract.
This paper investigates the application of artificial intelligence to understanding the conceptual space of Scale (Map), highlighting how AI-driven insights can uncover patterns, relationships, and transformative implications.
Keywords: Accuracy, Authenticity, Cartography, Contentment, Determination, Distance, Flexibility, Geography, Geolocation, Geospatial, Harmonious, Map, Mapmaking, Measurement, Moderation, Orderliness, Proportion, Reliability, Representation, Responsibility, Scale, Tolerance, Topography, Unity
Received: Month 2026 · Accepted: Month 2026 · DOI: 10.0000/example