SpatialSQL: A Multi-Agent System for Interactive and Observable Spatial Text-to-SQL
Summary: SpatialSQL uses coordinated agents to generate and iteratively refine spatial SQL, combining intent interpretation, geometric reasoning, and execution feedback. An observable UI exposes intermediate artifacts, traces, results, and user guidance for transparent interactive spatial text-to-SQL. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Yang Song (Beihang University)
- 2. Yu Sun (Nankai University)
- 3. Xieyang Wang (Nanjing University)
- 4. Qian Tao (Beihang University)
- 5. Tengfei Xu (Beihang University)
- 6. Jianqiu Xu (Nanjing University)
- 7. Shuyue Wei (Shandong University)
- 8. Yongxin Tong (Beihang University)
BibTeX Citation
@article{song_vldb26,
title = {{SpatialSQL: A Multi-Agent System for Interactive and Observable Spatial Text-to-SQL}},
author = {Song, Yang and Sun, Yu and Wang, Xieyang and Tao, Qian and Xu, Tengfei and Xu, Jianqiu and Wei, Shuyue and Tong, Yongxin},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4522--4525},
doi = {10.14778/3827998.3828055},
url = {https://doi.org/10.14778/3827998.3828055},
year = {2026}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 174 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | 2024 | VLDB | 0.00026790979 |
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