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Record W2150932406 · doi:10.1090/s0025-5718-00-01234-5

Computer verification of the Ankeny–Artin–Chowla Conjecture for all primes less than 100000000000

2000· article· en· W2150932406 on OpenAlexafffund
A. J. van der Poorten, H. J. J. te Riele, Hywel C Williams

Bibliographic record

VenueMathematics of Computation · 2000
Typearticle
Languageen
FieldMathematics
TopicAnalytic Number Theory Research
Canadian institutionsUniversity of Manitoba
FundersAustralian Research CouncilCentrum Wiskunde and InformaticaNatural Sciences and Engineering Research Council of CanadaNederlandse Organisatie voor Wetenschappelijk OnderzoekEuropean Research Consortium for Informatics and Mathematics
KeywordsConjectureMathematicsCombinatoricsModuloPrime (order theory)Bernoulli numberAssertionInteger (computer science)Rational numberDiscrete mathematicsArithmeticComputer science

Abstract

fetched live from OpenAlex

Let p p be a prime congruent to 1 modulo 4, and let t , u t, u be rational integers such that ( t + u p ) / 2 (t+u\sqrt {p}\,)/2 is the fundamental unit of the real quadratic field Q ( p ) \mathbb {Q}(\sqrt {p}\,) . The Ankeny-Artin-Chowla conjecture (AAC conjecture) asserts that p p will not divide u u . This is equivalent to the assertion that p p will not divide B ( p − 1 ) / 2 B_{(p-1)/2} , where B n B_{n} denotes the n n th Bernoulli number. Although first published in 1952, this conjecture still remains unproved today. Indeed, it appears to be most difficult to prove. Even testing the conjecture can be quite challenging because of the size of the numbers t , u t, u ; for example, when p = 40 094 470 441 p = 40\,094\,470\,441 , then both t t

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.347
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations30
Published2000
Admission routes2
Has abstractyes

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