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January 1, 2026Ā· Open MIND
preprint
Open access

SARMF-Bench Registration: Reproducible Smart Contract Vulnerability Benchmark Dataset

Authors:Mohit Tiwari *

Abstract

This registration documents the creation, structure, and validation workflow of SARMF-Bench, a minimal reproducible benchmark dataset for smart contract vulnerability analysis. SARMF-Bench consists of five intentionally engineered Solidity contracts representing canonical vulnerability classes: Reentrancy, Arithmetic Overflow Behavior, Access Control Weakness, Unchecked External Call, and Denial-of-Service Pattern. Each contract is paired with machine-readable static analysis outputs generated using Slither v0.11.5. The objective of this dataset is to provide a controlled experimental baseline for evaluating static analyzers, symbolic execution engines, fuzzers, and AI-assisted smart contract security tools. All artifacts were created in a controlled Linux environment and validated for reproducibility through consistent detector metadata (impact and confidence levels). No synthetic mutation frameworks or automated vulnerability generators were used. This registration serves as a timestamped, immutable research record documenting dataset structure, methodology, and reproducibility protocol.

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