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..
Incentives in Social Decision Schemes with Pairwise Comparison Preferences
Authors: Felix Brandt, Patrick Lederer, Warut Suksompong
IJCAI 2022 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In particular, we settle three open questions raised by Brandt [2017]: (i) there is no Condorcetconsistent SDS that satisfies PC-strategyproofness; (ii) there is no anonymous and neutral SDS that satisfies PC-efficiency and PC-strategyproofness; and (iii) there is no anonymous and neutral SDS that satisfies PC-efficiency and strict PC-participation. All three impossibilities require m 4 alternatives and turn into possibilities when m 3. ... Proof sketch. |
| Researcher Affiliation | Academia | Felix Brandt1 , Patrick Lederer1 , Warut Suksompong2 1Technische Universit at M unchen 2National University of Singapore EMAIL, EMAIL |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement about concrete access to source code for the methodology described. |
| Open Datasets | No | The paper is theoretical and does not use empirical datasets; thus, no access information for a public dataset is provided. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical data or dataset splits. |
| Hardware Specification | No | The paper is theoretical and does not describe any experiments that would require hardware specifications. |
| Software Dependencies | No | The paper is theoretical and does not mention any specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not include details about an experimental setup, such as hyperparameters or training settings. |