Measuring the Temporal stability of Ethereum Instructions

Ethereum, one of the largest blockchain platforms, manages millions of dollars in digital assets daily and depends on consistent community standards and cohesive implementations to maintain network consensus. This study introduces a novel methodology for identifying and measuring temporal inconsistencies in opcode mappings across Ethereum clients and the Solidity compiler. Using this methodology, we uncover significant and previously undocumented discrepancies both among different components of Ethereum’s implementation and between theoretical specifications and practical execution behavior. We further demonstrate the potential consequences of these inconsistencies by illustrating their impact on the detection of vulnerabilities in Solidity smart contracts. Such discrepancies can substantially undermine the accuracy and reliability of vulnerability analysis, highlighting the critical need for strict consistency in Ethereum’s operational semantics. Ensuring this consistency is essential for preserving transaction security and the overall robustness of the platform.

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Publication Details

Journal
Distributed Ledger Technologies Research and Practice
Published
2026-07-28
DOI
https://doi.org/10.1145/3834565
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Measuring the Temporal stability of Ethereum Instructions

Natalia Stakhanova, Enrico Branca, Shlomi Linoy, Jadyn Kimber
Distributed Ledger Technologies Research and Practice
Blockchain Technology Applications and Security
article

Measuring the Temporal stability of Ethereum Instructions

Natalia Stakhanova, Enrico Branca, Shlomi Linoy, Jadyn Kimber
article en

Abstract

Ethereum, one of the largest blockchain platforms, manages millions of dollars in digital assets daily and depends on consistent community standards and cohesive implementations to maintain network consensus. This study introduces a novel methodology for identifying and measuring temporal inconsistencies in opcode mappings across Ethereum clients and the Solidity compiler. Using this methodology, we uncover significant and previously undocumented discrepancies both among different components of Ethereum’s implementation and between theoretical specifications and practical execution behavior. We further demonstrate the potential consequences of these inconsistencies by illustrating their impact on the detection of vulnerabilities in Solidity smart contracts. Such discrepancies can substantially undermine the accuracy and reliability of vulnerability analysis, highlighting the critical need for strict consistency in Ethereum’s operational semantics. Ensuring this consistency is essential for preserving transaction security and the overall robustness of the platform.

Distributed Ledger Technologies Research and Practice
University of New Brunswick (CA), University of Saskatchewan (CA)
Openalex Percentile: Top 3%
Blockchain Technology Applications and Security
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