The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Modern Cryptography, Probabilistic Proofs and Pseudorandomness
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
Shamir, A. (1979) · Communications of the ACM · doi:10.1145/359168.359176 · Cited by 13,756
Communication Theory of Secrecy Systems
Shannon, C. E. (1949) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1949.tb00928.x · Cited by 9,440
Goemans, M. X., & Williamson, D. P. (1995) · Journal of the ACM · doi:10.1145/227683.227684 · Cited by 3,587
A Digital Signature Based on a Conventional Encryption Function
Merkle, R. C. (1988) · Lecture Notes in Computer Science · doi:10.1007/3-540-48184-2_32 · Cited by 1,998
A formal theory of inductive inference. Part II
Solomonoff, R. J. (1964) · Information and Control · doi:10.1016/s0019-9958(64)90131-7 · Cited by 1,758
Entity Authentication and Key Distribution
Bellare, M., & Rogaway, P. (2007) · Lecture Notes in Computer Science · doi:10.1007/3-540-48329-2_21 · Cited by 1,752
Optimization, approximation, and complexity classes
Papadimitriou, C. H., & Yannakakis, M. (1991) · Journal of Computer and System Sciences · doi:10.1016/0022-0000(91)90023-x · Cited by 1,653
Protocols for Public Key Cryptosystems
Merkle, R. C. (1980) · 1980 IEEE Symposium on Security and Privacy · doi:10.1109/sp.1980.10006 · Cited by 1,418
New hash functions and their use in authentication and set equality
Wegman, M. N., & Carter, J. L. (1981) · Journal of Computer and System Sciences · doi:10.1016/0022-0000(81)90033-7 · Cited by 1,402
Roth, R. (2006) · doi:10.1017/cbo9780511808968 · Cited by 912
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
Pseudorandom Generators without the XOR Lemma
Sudan, M., Trevisan, L., & Vadhan, S. (2001) · Journal of Computer and System Sciences · doi:10.1006/jcss.2000.1730 · Cited by 393
Moore, C., & Mertens, S. (2011) · doi:10.1093/acprof:oso/9780199233212.001.0001 · Cited by 347
Extractors and pseudorandom generators
(2001) · Journal of the ACM · doi:10.1145/502090.502099 · Cited by 324
Metadata
- Authors
- Goldreich, O.
- Venue
- Algorithms and Combinatorics
- Publisher
- Springer Berlin Heidelberg
- Published
- 1999
- ISSN
- 0937-5511 (ISSN-L)
- OpenAlex
- W1569885018
- Cited by
- 265
- References
- 10
- FWCI
- 8.49
- Type
- book
- 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: Modern Cryptography, Probabilistic Proofs and Pseudorandomness. https://app.cochat.ai/papers/10.1007/978-3-662-12521-2
- The paper
- Goldreich, O. (1999). Modern Cryptography, Probabilistic Proofs and Pseudorandomness. Algorithms and Combinatorics. https://doi.org/10.1007/978-3-662-12521-2
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.