The DOI matches its Crossref record.
IEEE Standard for Floating-Point Arithmetic
Abstract
This standard specifies interchange and arithmetic formats and methods for binary and decimal floating-point arithmetic in computer programming environments. This standard specifies exception conditions and their default handling. An implementation of a floating-point system conforming to this standard may be realized entirely in software, entirely in hardware, or in any combination of software and hardware. For operations specified in the normative part of this standard, numerical results and exceptions are uniquely determined by the values of the input data, sequence of operations, and destination formats, all under user control.
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
Cited by
Paxton, B., Schwab, J., Bauer, E. B., Bildsten, L., Blinnikov, S., Duffell, P., Farmer, R., Goldberg, J. A., Marchant, P., Sorokina, E., et al. (2018) · The Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/aaa5a8 · Cited by 2,121
Towards a standard for identifying and managing bias in artificial intelligence
Schwartz, R., Vassilev, A., Greene, K., Perine, L., Burt, A., & Hall, P. (2022) · doi:10.6028/nist.sp.1270 · Cited by 548
“Furthermore, to fit these parameters into computer memory, it is often necessary to use half-precision floating-point numbers [161], introducing rounding error which may undermine stability in the numerical methods [162].”
MethodThe JavaScript Object Notation (JSON) Data Interchange Format
(2014) · doi:10.17487/rfc7159 · Cited by 478
Revised 5 report on the algorithmic language scheme
Adams, N. I., Bartley, D. H., Brooks, G., Dybvig, R. K., Friedman, D. P., Halstead, R., Hanson, C., Haynes, C. T., Kohlbecker, E., Oxley, D., et al. (1998) · ACM SIGPLAN Notices · doi:10.1145/290229.290234 · Cited by 317
Accurately computing the log-sum-exp and softmax functions
Blanchard, P., Higham, D. J., & Higham, N. J. (2021) · IMA Journal of Numerical Analysis · doi:10.1093/imanum/draa038 · Cited by 126
Metadata
- Publisher
- IEEE
- Published
- 2008-06-12
- OpenAlex
- W2207050309
- Cited by
- 1,328
- References
- 0
- Type
- standard
- 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: IEEE Standard for Floating-Point Arithmetic. https://app.cochat.ai/papers/10.1109/ieeestd.2008.4610935
- The paper
- IEEE Standard for Floating-Point Arithmetic. (2008). https://doi.org/10.1109/ieeestd.2008.4610935
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.