Blockspace Under Pressure: An Analysis of Spam MEV on High-Throughput Blockchains
Wenhao Wang, Aditya Saraf, Lioba Heimbach, Kushal Babel, Fan Zhang

TL;DR
This paper models and empirically analyzes spam MEV on high-throughput blockchains, revealing how blockchain parameters influence its prevalence and proposing mechanisms to mitigate it.
Contribution
It develops a principled framework for understanding spam MEV, supported by empirical data, and offers insights into how blockchain design choices affect spam and externalities.
Findings
Spam grows with increased block capacity and decreases with minimum gas prices.
Ordering transactions by gas price reduces spam by raising costs for spammers.
Spam's share of block capacity plateaus as demand and block size grow.
Abstract
On high-throughput, low-fee blockchains, a qualitatively new form of maximal extractable value (MEV) has emerged: searchers submit large volumes of speculative transactions, whose profitability is resolved only at execution time. We refer to this as spam MEV. On major rollups, it can at times consume more than half of block gas, even though only a small fraction of probes ultimately results in a trade. Despite growing awareness of this phenomenon, there is no principled framework for understanding how blockchain design parameters shape its prevalence and impact. We develop such a framework, modeling spam transactions competing for on-chain opportunities under a competitive equilibrium that drives their profits to zero, and deriving equilibrium spam volumes as a function of block capacity, minimum gas price, and the transaction fee mechanism. Empirical evidence from Base and Arbitrum…
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