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Equivalence and Similarity Refutation for Probabilistic Programs

Authors: Anonymous, Anonymous;

Equivalence and Similarity Refutation for Probabilistic Programs

Abstract

This repository contains the artifact of the paper titled "Equivalence and Similarity Refutation for Probabilistic Programs" accepted at PLDI 2024. The tool takes two probabilistic transition systems with specified initial configurations as input and based on user preferences either (i) tries to prove whether the two programs generate equivalent output distributions, or (ii) tries to find a lowerbound on Kantorovich distance between the output distributions of the input programs. In order to run the baseline, Mathematica (`math` command in terminal) must be installed and the tool should be built from source. Additionally, the repository contains the files for Gurobi Optimizer v10.0.3.

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average