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arXiv:2605.04471 · detector doi_compliance · incontrovertible · 2026-05-19 14:22:59.509687+00:00

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Evidence text

High-frequency trading on decentralized on-chain exchanges. In2021 IEEE Symposium on Security and Privacy (SP), 428–445. doi:10.1109/SP40001.20 21.00027. 14 An Analysis of Ethereum Builder Centralization Appendix A Complete List of High-Exclusivity Order Flow Sources Table 1 presents 20 exclusive order flows with the highest exclusiv- ity. B Non-Atomic MEV Order Flow Table 2 lists the top 20 non-atomic order flows ranked by total bribes. The data reveals that high-value non-atomic arbitrage is heavily dependent on EOF, and confirms our model’s ability to identify significant actors missed by previous studies. C Non-Atomic Features We evaluate a dataset of164 249contracts using the extracted fea- tures and obtain the distribution of contracts according to the met- rics depicted in Fig. 7. 0 50000100000 100 101 102 103 contract amount Tx Count 0 2500 5000 Avg Tx / Sender 0 1 2 1e7 Avg Gas / Tx 0 200 400 Avg Position / Tx 0.0 0.5 1.0 Private Tx Ratio 0 10000 100 101 102 103 contract amount Interacting Addr 1 2 3 Avg Swap / Tx 0.0 0.5 1.0 Avg Fee / Tx (ETH) 0.0 0.5 1.0 MEV Tx Ratio non-atomic protocol atomic other unlabelled Figure 7: Distribution of all order flows across different feature dimensions, including those with manual labels. D Known EOFs Table 3 presents a list of nine known EOFs from previous studies. E A Representative Decision Tree Figure 8 shows a representative decision tree from the random forest. The value array at each node in the tree contains two coordi- na

Evidence payload

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  "reconstructed_doi": "10.1109/SP40001.2021.00027.14",
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