reproducibilityindex.ai

Electing Successive Committees: Complexity and Algorithms

Authors: Robert Bredereck, Andrzej Kaczmarczyk, Rolf Niedermeier1846-1853

Reproducibility Variable	Result	LLM Response
Research Type	Theoretical	We show a sharp complexity dichotomy between computing series of committees of size at most two (mostly in polynomial time) and of committees of size at least three (mostly NP-hard).
Researcher Affiliation	Academia	Technische Universität Berlin, Chair of Algorithmics and Computational Complexity {robert.bredereck, a.kaczmarczyk, rolf.niedermeier}@tu-berlin.de
Pseudocode	No	The paper describes algorithms and problem reductions but does not include any structured pseudocode or algorithm blocks.
Open Source Code	No	The paper does not provide any statement or link indicating that source code for the described methodology is publicly available.
Open Datasets	No	The paper is theoretical and focuses on computational complexity and algorithms; it does not use or reference any publicly available datasets for empirical training or evaluation.
Dataset Splits	No	The paper is theoretical and does not involve empirical experiments with training, validation, or test dataset splits.
Hardware Specification	No	The paper is theoretical and does not mention any specific hardware used for experiments.
Software Dependencies	No	The paper is theoretical and does not specify any software dependencies with version numbers.
Experiment Setup	No	The paper is theoretical and focuses on complexity and algorithms; it does not describe an experimental setup with hyperparameters or system-level training settings.