Notice: This website is continuously updated as new conference proceedings and journal volumes are published. Consequently, the figures presented here may differ from those reported in our publications.
A brief overview of our methodology is provided on the Methods page, along with references to publications documenting our approach and links to the code and data used in each study.
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.
Flow-Based Network Creation Games
Authors: Hagen Echzell, Tobias Friedrich, Pascal Lenzner, Anna Melnichenko
IJCAI 2020 | Venue PDF | LLM Run Details | Input Tokens: 17,193 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 4,247 Total number of tokens produced by the LLM (including reasoning/thinking tokens) for this paper's analysis.
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | For this novel type of NCG we prove that pure Nash equilibria exist, we give a simple algorithm for computing optimal networks, we show that the Price of Stability is 1 and we prove an (almost) tight bound of 2 on the Price of Anarchy. Last but not least, we show that our models do not admit a potential function. |
| Researcher Affiliation | Academia | Hagen Echzell , Tobias Friedrich , Pascal Lenzner and Anna Melnichenko Hasso Plattner Institute, University of Potsdam, Germany |
| Pseudocode | Yes | Algorithm 1: Algorithm for computing the OPT |
| Open Source Code | No | The paper does not provide any explicit statement about making source code available or include links to code repositories. |
| Open Datasets | No | This paper is theoretical and does not use datasets for empirical studies. |
| Dataset Splits | No | This paper is theoretical and does not involve empirical validation with dataset splits. |
| Hardware Specification | No | This paper is theoretical and does not report on computational experiments that would require hardware specifications. |
| Software Dependencies | No | This paper is theoretical and does not mention specific software dependencies with version numbers for experimental reproducibility. |
| Experiment Setup | No | This paper is theoretical and does not describe an experimental setup with hyperparameters or training configurations. |