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Record W4411468574 · doi:10.1002/mma.11163

A Class of Pseudo‐Differential Operators Involving the Weinstein Transform

2025· article· en· W4411468574 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

VenueMathematical Methods in the Applied Sciences · 2025
Typearticle
Languageen
FieldMathematics
TopicMathematical Analysis and Transform Methods
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMathematicsDifferential operatorSymbol of a differential operatorPseudo-differential operatorDifferential (mechanical device)Operator (biology)Class (philosophy)Norm (philosophy)Pure mathematicsAlgebraic differential equationRegular polygonMathematical analysisSemi-elliptic operatorDifferential equationHypoelliptic operatorComputer scienceDifferential algebraic equation

Abstract

fetched live from OpenAlex

ABSTRACT In this paper, the authors introduce and investigate a certain family of pseudo‐differential operators which is associated with the symbol class on the space for a real‐valued convex function . By appealing to the theory of the Weinstein transform, various properties of the pseudo‐differential operator associated with the symbol class are discussed. The representation of the pseudo‐differential operator associated with the indicatrix is also obtained. Finally, the ‐norm of the pseudo‐differential operator with the indicatrix and the function is investigated.

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.

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)0.017
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.328
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.087
GPT teacher head0.431
Teacher spread0.343 · 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