Reproducibility Report for ACM SIGMOD 2024 Paper: 'A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations'

2025

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DOI 10.1145/3687998.3717049
Data confidence 85 high
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

We successfully reproduced the experimental results presented in the original paper. The authors provided clear documentation of the software and hardware requirements, along with well-structured scripts and datasets hosted in an organized GitHub repository. In this reproducibility report, we compare the original results with our reproduced findings, both of which show similar trends, thereby supporting the authors' claims.