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

Abstract

-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.

Authors 9

Rui Liu, Steven Jige Quan, Zhong-Ren Peng, Zijun Yao, Han Wang, Pengyang Wang, Kunpeng Liu, Yanjie Fu, Dongjie Wang

Specification

Official page: arxiv.org/abs/2602.19326
Source:arXiv (Atom API + RSS)T1observed 3 h agohigh
Arxiv announce type: replace
Source:arXiv (Atom API + RSS)T1observed 3 h agohigh
arXiv id: 2602.19326
Source:arXiv (Atom API + RSS)T1observed 3 h agohigh
Categories: cs.MA, cs.AI
Source:arXiv (Atom API + RSS)T1observed 3 h agohigh
PDF: arxiv.org/pdf/2602.19326
Source:arXiv (Atom API + RSS)T1observed 3 h agohigh
Primary category: cs.MA
Source:arXiv (Atom API + RSS)T1observed 3 h agohigh
Published: 11 Sept 2026
Source:arXiv (Atom API + RSS)T1observed 3 h agohigh

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Attributed facts

9

Source tiers

T19

Freshest observation

3 h ago

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None

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Authors: Rui Liu, Steven Jige Quan, Zhong-Ren Peng

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Claim history · Abstract

1 claims · 1 propertiesShow all properties

Abstractabstract1

Claim history for Abstract
Value	Valid from → to	Status	Source	Confidence	Extractor
-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.	11 Sept 2026 21:03 UTC → current	current	arXiv (Atom API + RSS)T1	high	deterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

11 Sept 2026
New paperPaperCity Editing: Hierarchical Agentic Execution for Dependency-Aware Urban Geospatial Modification
New paper: City Editing: Hierarchical Agentic Execution for Dependency-Aware Urban Geospatial Modification
arxiv
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Full timeline →

Source documents
Source	Document	Type	Tier	Last observed	Snapshots
arXiv (Atom API + RSS)	rss.arxiv.org/rss/cs.AI	feed	T1· Official	1 h ago	1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.