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..
Optimal Decoupling in Linear Constraint Systems
Authors: Cees Witteveen, Michel Wilson, Tomas Klos
AAAI 2014 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Proposition 1. Let S : Ax b be an STN. Then for the LP (1) associated with this constraint system, it holds thatxi X (x+ i x i ) =xi X (lst(xi) est(xi)). |
| Researcher Affiliation | Academia | Cees Witteveen and Michel Wilson and Tomas Klos Algorithmics group, Department of Computer and Software Technology, Delft University of Technology, NL-2628 CD, Delft, The Netherlands |
| Pseudocode | No | The paper describes mathematical formulations (LPs) and procedures in paragraph form, but it does not contain a clearly labeled “Pseudocode” or “Algorithm” block. |
| Open Source Code | No | The paper does not provide any information or links regarding the availability of open-source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not conduct experiments on datasets, so there is no information about data availability. |
| Dataset Splits | No | The paper is theoretical and does not conduct experiments with datasets, so there is no information about training, validation, or test splits. |
| Hardware Specification | No | The paper is theoretical and does not describe empirical experiments, therefore no hardware specifications are mentioned. |
| Software Dependencies | No | The paper mentions using “LP” (Linear Programming) as a framework, but it does not specify any particular software, libraries, or solvers with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe empirical experiments, so there is no mention of an experimental setup or hyperparameters. |