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Record W2129388296 · doi:10.1145/1113439.1113456

The RegularChains library in MAPLE

2005· article· en· W2129388296 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueACM SIGSAM Bulletin · 2005
Typearticle
Languageen
FieldComputer Science
TopicPolynomial and algebraic computation
Canadian institutionsWestern University
Fundersnot available
KeywordsModuloArithmeticCombinatoricsMathematics

Abstract

fetched live from OpenAlex

Performing calculations modulo a set of relations is a basic technique in algebra. For instance, computing the inverse of an integer modulo a prime integer or computing the inverse of the complex number 3 + 2<i>t</i> modulo the relation ℓ<sup>2</sup> + 1 = 0. Computing modulo a set <i>S</i> containing more than one relation requires from <i>S</i> to have some mathematical structure. For instance, computing the inverse of <i>p</i> = <i>x</i> + <i>y</i> modulo <i>S</i> = {<i>x</i><sup>2</sup> + <i>y</i> + 1,<i>y</i><sup>2</sup> + <i>x</i> + 1} is difficult unless one realizes that this question is equivalent to computing the inverse of <i>p</i> modulo <i>C</i> = {<i>x</i><sup>4</sup> + 2<i>x</i><sup>2</sup> + <i>x</i> + 2,<i>y</i> + <i>x</i><sup>2</sup> + 1}. Indeed, from there one can simplify <i>p</i> using <i>y</i> = -<i>x</i><sup>2</sup> - 1 leading to <i>q</i> = -<i>x</i><sup>2</sup> + <i>x</i> - 1 and compute the inverse of <i>q</i> modulo <i>x</i><sup>4</sup> + 2<i>x</i><sup>2</sup> + <i>x</i> + 2 (using the extended Euclidean algorithm) leading to -1/2<i>x</i><sup>3</sup> - 1/2<i>x</i>. One commonly used mathematical structure for a set of algebraic relations is that of a <i>Gröbner basis.</i> It is particularly well suited for deciding whether a quantity is null or not modulo a set of relations. For inverse computations, the notion of a <i>regular chain</i> is more adequate. For instance, computing the inverse of <i>p</i> = <i>x</i> + <i>y</i> modulo the set <i>C</i> = {<i>y</i><sup>2</sup> - 2<i>x</i> + 1,<i>x</i><sup>2</sup> - 3<i>x</i> + 2}, which is both a Gröbner basis and a regular chain, is easily answered in this latter point of view. Indeed, it naturally leads to consider the GCD of <i>p</i> and <i>C<inf>y</inf></i> = <i>y</i><sup>2</sup> - 2<i>x</i> + 1 modulo the relation <i>C<inf>x</inf></i> = <i>x</i><sup>2</sup> - 3<i>x</i> + 2 = 0, which is [EQUATION] This shows that <i>p</i> has no inverse if <i>x</i> = 1 and has an inverse (which can be computed and which is -<i>y</i> + 2) if <i>x</i> = 2.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.809
Threshold uncertainty score0.634

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.210
Teacher spread0.202 · 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