The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A pseudo-random number generator for the System/360
Abstract
The purpose of this paper is to describe a pseudo-random number generator that uses the full capacity of the 32-bit registers of IBM SYSTEM/360 computers, and to briefly report on and document the testing of and experience with the random number generator. The generator is a particular case of the sequence of numbers xigenerated by the equation xi+1= Axi(mod p) (1) where p is a prime and A is a positive primitive root of p.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An algorithm for the machine calculation of complex Fourier series
Cooley, J. W., & Tukey, J. W. (1965) · Mathematics of Computation · doi:10.1090/s0025-5718-1965-0178586-1 · Cited by 13,154
Cited by
TestU01: A C library for empirical testing of random number generators
L'Ecuyer, P., & Simard, R. (2007) · ACM Transactions on Mathematical Software · doi:10.1145/1268776.1268777 · Cited by 1,014
Essentials of Monte Carlo Simulation: Statistical Methods for Building Simulation Models
Thomopoulos, N. T. (2013) · doi:10.1007/978-1-4614-6022-0 · Cited by 136
Bad subsequences of well-known linear congruential pseudorandom number generators
Entacher, K. (1998) · ACM Transactions on Modeling and Computer Simulation · doi:10.1145/272991.273009 · Cited by 51
Metadata
- Authors
- Lewis, P. A. W., Goodman, A. S., & Miller, J. M.
- Venue
- IBM Systems Journal
- Publisher
- IBM
- Published
- 1969
- Volume
- 8
- Issue
- 2
- Pages
- 136-146
- ISSN
- 0018-8670 (ISSN-L)
- OpenAlex
- W2157018930
- Cited by
- 370
- References
- 1
- FWCI
- 58.09
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A pseudo-random number generator for the System/360. https://app.cochat.ai/papers/10.1147/sj.82.0136
- The paper
- Lewis, P. A. W., Goodman, A. S., & Miller, J. M. (1969). A pseudo-random number generator for the System/360. IBM Systems Journal. https://doi.org/10.1147/sj.82.0136
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.