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Record W4406786949 · doi:10.1142/s0129054125500029

Almost Perfect <i>c</i>-Nonlinear Permutations with Trace Functions over 𝔽2n

2025· article· en· W4406786949 on OpenAlexafffund
Wang Yan-ping, Yiwen Chen, Qiang Wang

Bibliographic record

VenueInternational Journal of Foundations of Computer Science · 2025
Typearticle
Languageen
FieldEngineering
Topicgraph theory and CDMA systems
Canadian institutionsCarleton University
FundersNatural Science Foundation of Gansu ProvinceNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsTRACE (psycholinguistics)MathematicsNonlinear systemCombinatoricsDiscrete mathematicsPhysicsPhilosophyQuantum mechanics

Abstract

fetched live from OpenAlex

In this paper, by using the Weil sums, we derive that the c-differential uniformity of permutation polynomial of the form [Formula: see text] is equal to 2 for [Formula: see text] with [Formula: see text] and [Formula: see text], or [Formula: see text] with [Formula: see text], where [Formula: see text]. In particular, several explicit classes of APcN permutations over [Formula: see text] are presented using different choices of the pair [Formula: see text] for the monomial [Formula: see text].

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 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.584
Threshold uncertainty score0.308

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.005
GPT teacher head0.250
Teacher spread0.245 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2025
Admission routes2
Has abstractyes

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