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 Shift Toward Open and Reproducible AI Research," Under Review, 2026. doi: 10.48550/arXiv.2606.16974..
Non-Parametric Stochastic Sequential Assignment With Random Arrival Times
Authors: Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy
IJCAI 2021 | Venue PDF | LLM Run Details | Input Tokens: 16,462 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 4,435 Total number of tokens produced by the LLM (including reasoning/thinking tokens) for this paper's analysis.
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We demonstrate the effectiveness of the algorithm empirically on synthetic data and on public fraud-detection datasets... We empirically validate NPSA on both synthetic data and public fraud data, and rigorously prove its optimality. (Section 4 is titled 'Experiments') |
| Researcher Affiliation | Industry | Danial Dervovic1 , Parisa Hassanzadeh1 , Samuel Assefa1 , Prashant Reddy1 1J.P. Morgan AI Research EMAIL |
| Pseudocode | Yes | Algorithm 1: NPSA: solution to Seq Alloc-NP |
| Open Source Code | No | The paper does not provide a direct link or explicit statement about the availability of the source code for its methodology. |
| Open Datasets | Yes | We use two public fraud detection datasets, which we denote cc-fraud [Dal Pozzolo et al., 2015] and ieee-fraud [IEEE-CIS, 2019]. |
| Dataset Splits | No | The paper mentions training and testing data splits (Mtrain and Mtest) but does not explicitly describe a separate validation set. |
| Hardware Specification | No | The paper does not specify the exact hardware (e.g., GPU/CPU models, memory) used for running the experiments. |
| Software Dependencies | Yes | Using the Sage Math [The Sage Developers, 2020] interface to Maxima [Maxima, 2014]... Sage Math, the Sage Mathematics Software System (Version 9.2)... Maxima, a Computer Algebra System. Version 5.34.1. |
| Experiment Setup | Yes | The time horizon T = 2ฯ and the job arrival rate is ฮป = 1. (Figure 1 caption)... jobs arrive over time horizon T = 2ฯ according to a homogeneous Poisson process with ๏ฌxed intensity ฮป = 500 and have values that are exponentially distributed with mean ยต = 200... n {1, . . . , 250}. |