In the Margins: An Empirical Study of Ethereum Inscriptions
Xihan Xiong, Minfeng Qi, Shiping Chen, Guangsheng Yu, Zhipeng Wang, Qin Wang

TL;DR
This paper presents the first large-scale empirical analysis of Ethereum Inscriptions, revealing their lifecycle, protocol diversity, activity patterns, inequality, and long-term storage impact on Ethereum.
Contribution
It introduces a comprehensive empirical study of Ethscriptions as a distinct workload, analyzing their lifecycle, protocol proliferation, and storage implications.
Findings
Structured token activity dominates Ethscriptions
Lifecycle compressed into nine months with distinct phases
Significant storage footprint and participation inequality
Abstract
Ethereum Inscriptions (Ethscriptions) repurpose Ethereum calldata into a persistent inscription channel by embedding \texttt{data:}~URI payloads. These transactions typically target externally owned accounts, allowing the payload to bypass EVM execution while remaining permanently replicated across full nodes. Although calldata was originally designed for compact smart-contract parameters, this repurposing enables structured data embedding with long-term storage consequences. We present the first large-scale empirical study of Ethscriptions, treating them as a distinct \emph{calldata-resident workload} rather than merely a subset of general calldata usage. Our analysis focuses on the \textit{Ethscription} operational subset, which consists of payloads that decode to JSON and conform to a token-operation grammar (e.g., \texttt{p}, \texttt{op}, \texttt{tick}, \texttt{amt}). From…
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Taxonomy
TopicsDistributed systems and fault tolerance · Scientific Computing and Data Management · Software System Performance and Reliability
