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City Editing: Hierarchical Agentic Execution for Dependency-Aware Urban Geospatial Modification

arxiv.org/abs/2602.19326

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Updated 2 h ago · first seen 11 Sept 2026

paper_01M294GPVV4QJPB0PJZ8XH1Y13

Published
11 Sept 2026
T1 · 2 h ago
arXiv
2602.19326
T1 · 2 h ago
Category
cs.MA
T1 · 2 h ago

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9 claims · 9 properties

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https://arxiv.org/abs/2602.19326currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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-cross Abstract: Urban renewal requires incremental modifications to existing geospatial plans, yet manually updating complex layouts under spatial constraints is labor-intensive and error-prone. To tackle this, we propose CEAE, a hierarchical agentic framework that formulates urban renewal as machine-executable GeoJSON editing from natural-language instructions. CEAE decomposes instructions into hierarchical geometric intents, executing edits from coarse to fine while preserving spatial consistency through a self-reflective execution-validation loop. Experimental results show that CEAE outperforms baselines in execution validity, robustness, and geometric accuracy.currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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replacecurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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2602.19326currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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Rui Liu, Steven Jige Quan, Zhong-Ren Peng, Zijun Yao, Han Wang, Pengyang Wang, Kunpeng Liu, Yanjie Fu, Dongjie WangcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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cs.MA, cs.AIcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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https://arxiv.org/pdf/2602.19326currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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cs.MAcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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11 Sept 2026currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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