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..
Reputation-Aware Continuous Double Auction
Authors: Yuan Liu, Jie Zhang, Han Yu, Chunyan Miao
AAAI 2014 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Theoretical analysis proves that RCDA is effective in eliciting truthful bids from buyers and sellers in the presence of possible dishonest behavior from both buyers and sellers. |
| Researcher Affiliation | Academia | Yuan Liu Jie Zhang Han Yu Chunyan Miao School of Computer Engineering Nanyang Technological University, Singapore |
| Pseudocode | No | The paper describes the mechanism using natural language and mathematical equations, but it does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access to source code, nor does it mention that code is released or available. |
| Open Datasets | No | The paper is theoretical and does not mention the use of any datasets for training, validation, or testing, nor does it provide access information for any public or open datasets. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical validation with datasets, therefore it does not provide specific dataset split information for validation. |
| Hardware Specification | No | The paper focuses on theoretical analysis and does not describe any specific hardware used for experiments. |
| Software Dependencies | No | The paper is theoretical and does not provide details about specific ancillary software or library versions needed for replication. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup, hyperparameters, or training configurations. |