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 [1].
Strategic Signaling for Selling Information Goods
Authors: Shani Alkoby, David Sarne, Igal Milchtaich
IJCAI 2019 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The paper provides a game theoretic analysis of this strategic signaling model. The analysis makes three primary contributions. [...] We use this application domain for some of the numerical examples introduced onwards. |
| Researcher Affiliation | Academia | 1Ariel University, Ariel, Israel 2Bar Ilan University, Ramat-Gan, Israel |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any information about open-source code for the described methodology. |
| Open Datasets | No | The paper uses numerical examples with illustrative values rather than publicly available datasets, and does not provide concrete access information for any dataset. |
| Dataset Splits | No | The paper describes a theoretical model and numerical examples, and does not mention specific training, validation, or test dataset splits. |
| Hardware Specification | No | The paper does not provide any specific hardware specifications used for running computations or simulations. |
| Software Dependencies | No | The paper does not mention any specific software dependencies with version numbers. |
| Experiment Setup | No | The paper focuses on theoretical analysis and game theory; therefore, it does not describe an experimental setup with hyperparameters or training settings. |