DBScholar

Back to papers

RICH: Real-time Identification of negative Cycles for High-efficiency Arbitrage

Summary: Model arbitrage as k-hop negative-cycle detection and introduce RICH, which employs color-coding plus dynamic programming to probabilistically find negative-weight cycles without exhaustive traversal. Adds encoding and graph-reduction to cut overhead, enabling real-time detection with strong probabilistic guarantees and up to 32.7× speedups on crypto/FX benchmarks. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14215
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,963 | 24.79%
DOI
10.14778/3749646.3749678

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{luo_vldb25,
        title = {{RICH: Real-time Identification of negative Cycles for High-efficiency Arbitrage}},
        author = {Luo, Bingqiao and Jiang, Jiaxin and Chen, Yuhang and Hou, Junyi and Tey, Cheng Jun and Qiu, Ziyang and He, Bingsheng and Xiao, Spencer and Ong, Dominic and Ang, Wee Howe},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {11},
        pages = {4081--4089},
        doi = {10.14778/3749646.3749678},
        url = {https://doi.org/10.14778/3749646.3749678},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,278 ORDER: Optimal Routing with Path Indexing in Exchange Graph [Data-Intensive & Data Science Application] 2026 SIGMOD 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers