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..
Chain Length and CSPs Learnable with Few Queries
Authors: Christian Bessiere, Clยรฉment Carbonnel, George Katsirelos1420-1427
AAAI 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The entire paper is a theoretical analysis with proofs and lemmas, without any experimental setup, data, or results section. For example, Section 3 describes "Constraint acquisition and chain length" with a Theorem 7 proof for learnability without any empirical validation. |
| Researcher Affiliation | Academia | 1LIRMM, CNRS, University of Montpellier, France EMAIL 2UMR MIA-Paris, INRA, Agro Paris Tech, Universit e Paris-Saclay, Paris, France EMAIL |
| Pseudocode | No | The paper describes an algorithm verbally in the proof of Theorem 7, but it does not contain a structured pseudocode block or a clearly labeled algorithm figure. |
| Open Source Code | No | The paper is theoretical and does not mention releasing any source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not mention the use of any datasets, public or otherwise, for training or evaluation. |
| Dataset Splits | No | The paper is theoretical and does not describe any dataset splits for training, validation, or testing. |
| Hardware Specification | No | The paper is purely theoretical and does not mention any hardware specifications used for running experiments. |
| Software Dependencies | No | The paper is theoretical and does not specify any software dependencies with version numbers. |
| Experiment Setup | No | The paper is purely theoretical and does not include any details about an experimental setup or hyperparameters. |