VSPursuer: A Tool for Finding Matrices Witnessing the Variable Sharing Property

Abstract We introduce , an automated reasoning tool that analyses matrices generated by Slaney’s . The tool searches these matrices for a target logic to find one that witnesses the logic’s satisfaction of the Variable Sharing Property . We describe the theoretical background behind and highlight optimisations that enable our tool to determine whether a given matrix witnesses the property in polynomial time. We then give some example data sets for particular relevant logics, a theoretical analysis on the sizes of matrices generated by which do not witness variable sharing, and close with an appendix explaining how to install and use .

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Publication Details

Journal
Journal of Logic Language and Information
Published
2026-02-09
DOI
https://doi.org/10.1007/s10849-026-09454-2
Primary Topic
Logic, Reasoning, and Knowledge
Type
article
Field-Weighted Citation Impact
0.00

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article

VSPursuer: A Tool for Finding Matrices Witnessing the Variable Sharing Property

Brandon Rozek, Andrew Tedder
Journal of Logic Language and Information
Logic, Reasoning, and Knowledge
article

VSPursuer: A Tool for Finding Matrices Witnessing the Variable Sharing Property

Brandon Rozek, Andrew Tedder
article en

Abstract

Abstract We introduce , an automated reasoning tool that analyses matrices generated by Slaney’s . The tool searches these matrices for a target logic to find one that witnesses the logic’s satisfaction of the Variable Sharing Property . We describe the theoretical background behind and highlight optimisations that enable our tool to determine whether a given matrix witnesses the property in polynomial time. We then give some example data sets for particular relevant logics, a theoretical analysis on the sizes of matrices generated by which do not witness variable sharing, and close with an appendix explaining how to install and use .

Journal of Logic Language and Information
Rensselaer Polytechnic Institute (US), Ruhr University Bochum (DE)
Deutsche Forschungsgemeinschaft, National Defense Science and Engineering Graduate
Openalex Percentile: Top 63%
Logic, Reasoning, and Knowledge
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