Becoming Immutable: How Ethereum is Made

📅 2025-06-05
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🤖 AI Summary
This study investigates transaction exclusivity, inclusion latency, and cross-exchange arbitrage within Ethereum’s MEV builder ecosystem. Leveraging full-block and bid-auction data from an 8-minute window on December 3, 2024, we employ transaction-to-block mapping, temporal bid analysis, and systematic arbitrage pattern detection. Our analysis yields three key contributions: (1) the first quantitative evidence that 85% of winning-block fees originate from builder-exclusive transactions; (2) empirical confirmation that unsuccessful builders significantly increase user transaction confirmation latency; and (3) a novel methodology to infer implicit CEX prices from on-chain bid dynamics—enabling detection of two high-frequency DEX/CEX arbitrage bots whose inferred exchange rates outperform Binance’s quotes by 3.4–4.2 basis points. Collectively, these findings provide empirical grounding for MEV economic structure and establish a new analytical framework for on-chain arbitrage behavior.

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📝 Abstract
We analyze blocks proposed for inclusion in the Ethereum blockchain during 8 minutes on December 3rd, 2024. Our dataset comprises 38 winning blocks, 15,097 proposed blocks, 10,793 unique transactions, and 2,380,014 transaction-block pairings. We find that exclusive transactions--transactions present only in blocks proposed by a single builder--account for 85% of the fees paid by all transactions included in winning blocks. We also find that a surprisingly large number of user transactions are delayed: although proposed during a bidding cycle, they are not included in the corresponding winning block. Many such delayed transactions are exclusive to a losing builder. We also identify two arbitrage bots trading between decentralized (DEX) and centralized exchanges (CEX). By examining their bidding dynamics, we estimate that the implied price at which these bots trade USDC/WETH and USDT/WETH on CEXes is between 3.4 and 4.2 basis points better than the contemporaneous price reported on Binance.
Problem

Research questions and friction points this paper is trying to address.

Analyzing Ethereum block inclusion dynamics and transaction delays
Investigating exclusive transactions' dominance in fee payments
Estimating arbitrage bots' trading advantages on CEX vs DEX
Innovation

Methods, ideas, or system contributions that make the work stand out.

Analyzed Ethereum blocks and transactions
Identified exclusive transactions and fees
Estimated arbitrage bots' trading advantages
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