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ORDER: Optimal Routing with Path Indexing in Exchange Graph [Data-Intensive & Data Science Application]

Summary: ORDER optimizes size-aware routing across liquidity-fragmented exchange graphs using a hierarchical bucket path index, lazy updates, and adaptive bucket sizing. It avoids global rescans and delivers up to 114× faster DeFi routing without sacrificing execution quality. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
7470
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,278 | 29.49%
DOI
10.1145/3802097

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BibTeX Citation

@inproceedings{luo_sigmod26,
        title = {{ORDER: Optimal Routing with Path Indexing in Exchange Graph [Data-Intensive \& Data Science Application]}},
        author = {Luo, Bingqiao and Chen, Yuhang and Cong, Yuheng and He, Ziyu and Jiang, Jiaxin and Sun, Shixuan and He, Bingsheng and Ang, Wee Howe},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802097},
        url = {https://dl.acm.org/doi/10.1145/3802097},
        year = {2026}
}

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