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IPGeoAI: Transformer-Based Geolocation with LLM Semantic Fusion

arXiv · AI, language, vision and robotics · article · Sep 3, 2026 · UTC

Accurate city-level IP Geolocation is an important enabler for the modern digital ecosystem, underpinning services ranging from local content delivery and targeting to digital rights enforcement. However, traditional heuristic and database-driven methods often struggle to resolve the complex, non-linear allocation patterns of modern network infrastructures, particularly within the exploding IPv6 address space and transient mobile networks. In this paper, we introduce IPGeoAI, a novel deep learning model architecture that reframes geolocation from a static lookup problem to a sequential modelin

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Evidence & attribution

First collected: 2026-09-21T04:31:57.454Z. This is not the publication date.