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..
Switch-List Representations in a Knowledge Compilation Map
Authors: Ondřej Čepek, Miloš Chromý
IJCAI 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This is a theory paper which establishes the properties of the SL language and places it in KCM. |
| Researcher Affiliation | Academia | Ondˇrej ˇCepek and Miloˇs Chrom y Charles University, Faculty of Mathematics and Physics, Department of Theoretical Computer Science and Mathematical Logic, Malostransk e n am. 25, 118 00 Praha 1, Czech Republic EMAIL |
| Pseudocode | No | The paper describes algorithms and procedures in prose, but it does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access information for open-source code related to the methodology described. |
| Open Datasets | No | The paper is theoretical and does not use datasets for training, validation, or testing. Therefore, it does not provide access information for a publicly available dataset. |
| Dataset Splits | No | The paper is theoretical and does not involve experiments with datasets, so it does not provide specific dataset split information for training, validation, or testing. |
| Hardware Specification | No | The paper is theoretical and does not mention any hardware specifications 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 does not describe any experimental setup details, hyperparameters, or training configurations. |