Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Approval-Based Apportionment
Authors: Markus Brill, Paul Gölz, Dominik Peters, Ulrike Schmidt-Kraepelin, Kai Wilker1854-1861
AAAI 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | First, we prove that committee monotonicity is compatible with extended justified representation (a representation axiom proposed by Aziz et al. 2017) by providing a rule that satisfies both properties. Second, we show that the core of an approval-based apportionment problem is always nonempty and that core-stable committees can be found in polynomial time. |
| Researcher Affiliation | Academia | 1Technische Universit at Berlin, Chair of Efficient Algorithms 2Carnegie Mellon University, Computer Science Department |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described. |
| Open Datasets | No | The paper is theoretical and does not involve empirical studies or dataset usage for training. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical studies or dataset usage for validation. |
| Hardware Specification | No | The paper is theoretical and does not describe running experiments, therefore no hardware specifications are provided. |
| Software Dependencies | No | The paper is theoretical and does not describe running experiments, therefore no software dependencies with version numbers are provided. |
| Experiment Setup | No | The paper is theoretical and does not describe running experiments, therefore no experimental setup details are provided. |