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)
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Authors
- 1. Bingqiao Luo
- 2. Jiaxin Jiang
- 3. Yuhang Chen
- 4. Junyi Hou
- 5. Cheng Jun Tey
- 6. Ziyang Qiu
- 7. Bingsheng He
- 8. Spencer Xiao
- 9. Dominic Ong
- 10. Wee Howe Ang
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,394 | Real-time Constrained Cycle Detection in Large Dynamic Graphs | 2018 | VLDB | 0.0001221552 |
| 4,534 | Hop-constrained s-t Simple Path Enumeration: Towards Bridging Theory and Practice | 2020 | VLDB | 6.1049756e-05 |
| 6,208 | PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration | 2021 | SIGMOD | 5.1568586e-05 |
| 8,431 | Spade: A Real-Time Fraud Detection Framework on Evolving Graphs | 2023 | VLDB | 4.5154339e-05 |
| 9,039 | RUSH: Real-time Burst Subgraph Detection in Dynamic Graphs | 2024 | VLDB | 4.4039656e-05 |
| 9,793 | uBlade: Efficient Batch Processing for Uncertain Graph Queries | 2024 | SIGMOD | 4.2818172e-05 |
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