MapReason-OSM supplies 6000 graph-verifiable instances across 12 mobility tasks on rendered OSM maps from 10 U.S. downtowns and shows that seven VLMs succeed at simple routing but perform near chance on cost-based facility placement and cross-zoom consistency.
Schneider, and Hanan Samet
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Extends spatial pattern matching to 3D using subgraph matching over distance relations and releases synthetic plus real Hamburg building datasets as baselines.
The paper identifies gaps in LLM spatial reasoning and advocates graph-enhanced approaches for future spatial search systems.
citing papers explorer
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MapReason-OSM: Can Vision-Language Models Make Graph-Verifiable Mobility Decisions from Street Maps ?
MapReason-OSM supplies 6000 graph-verifiable instances across 12 mobility tasks on rendered OSM maps from 10 U.S. downtowns and shows that seven VLMs succeed at simple routing but perform near chance on cost-based facility placement and cross-zoom consistency.
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3D Spatial Pattern Matching
Extends spatial pattern matching to 3D using subgraph matching over distance relations and releases synthetic plus real Hamburg building datasets as baselines.
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Graph-Enhanced Large Language Models for Spatial Search
The paper identifies gaps in LLM spatial reasoning and advocates graph-enhanced approaches for future spatial search systems.