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..
Combining DL-Lite_{bool}^N with Branching Time: A gentle Marriage
Authors: Víctor Gutiérrez-Basulto, Jean Christoph Jung
IJCAI 2017 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | For the resulting logics, we present algorithms for the satisfiability problem and (mostly tight) complexity bounds ranging from EXPTIME to 3EXPTIME. |
| Researcher Affiliation | Academia | V ıctor Guti errez-Basulto Cardiff University, UK EMAIL Jean Christoph Jung Universit at Bremen, Germany EMAIL |
| Pseudocode | No | The paper describes the algorithms and methods in textual form but does not provide structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper provides a link to an extended version with an appendix (http://tinyurl.com/ktkgwqg), but it does not state that source code for the described methodology is released or available. |
| Open Datasets | No | The paper is theoretical and does not involve empirical experiments with datasets, thus no dataset usage or public availability information is provided. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical experiments with datasets, thus no training/test/validation splits are described. |
| Hardware Specification | No | The paper focuses on theoretical contributions (algorithms and complexity bounds) and does not describe empirical experiments, therefore no specific hardware specifications are mentioned. |
| Software Dependencies | No | The paper focuses on theoretical contributions and does not describe empirical experiments. Therefore, no specific software dependencies with version numbers for replication are mentioned. |
| Experiment Setup | No | The paper focuses on theoretical contributions and does not describe empirical experiments. Therefore, no specific experimental setup details like hyperparameters or training configurations are provided. |