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Paper Citation Record · LEDGER

A randomized progressive iterative regularization method for data fitting problems

As of 7 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2506.03526.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.03526 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:09:34.798204Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T10:55:02.725301Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T19:51:10.534016Z

Reference resolution

23 of 23 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 905800b8-ba59-4779-886b-202c90b17de2 · outbound

This paper cites A variational non-linear constrained model for the inversion of fdem data.

A randomized progressive iterative regularization method for data fitting problems A variational non-linear constrained model for the inversion of fdem data

Reference 1

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This paper cites Distributed tikhonov regularization for ill- posed inverse problems from a bayesian perspective.

A randomized progressive iterative regularization method for data fitting problems Distributed tikhonov regularization for ill- posed inverse problems from a bayesian perspective

Reference 2

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This paper cites Carnicer, J.

A randomized progressive iterative regularization method for data fitting problems Carnicer, J

Reference 3

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This paper cites How does agee’s smoothing method work? In Proceedings of the 1979 Army Numerical Analysis and Computers Conference , ARO Report 79-3, pages 299–302.

A randomized progressive iterative regularization method for data fitting problems How does agee’s smoothing method work? In Proceedings of the 1979 Army Numerical Analysis and Computers Conference , ARO Report 79-3, pages 299–302

Reference 4

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This paper cites Progressive and iterative approximation for least squares b-spline curve and surface fitting.

A randomized progressive iterative regularization method for data fitting problems Progressive and iterative approximation for least squares b-spline curve and surface fitting

Reference 5

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This paper cites Ebrahimi and G.B.

A randomized progressive iterative regularization method for data fitting problems Ebrahimi and G.B

Reference 6

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This paper cites On a progressive and iterative approximation method with memory for least square fitting.

A randomized progressive iterative regularization method for data fitting problems On a progressive and iterative approximation method with memory for least square fitting

Reference 7

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This paper cites Totally positive bases and pro- gressive iteration approximation.

A randomized progressive iterative regularization method for data fitting problems Totally positive bases and pro- gressive iteration approximation

Reference 8

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This paper cites Local progressive-iterative approximation format for blending curves and patches.

A randomized progressive iterative regularization method for data fitting problems Local progressive-iterative approximation format for blending curves and patches

Reference 9

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This paper cites Survey on geometric iter- ative methods and their applications.

A randomized progressive iterative regularization method for data fitting problems Survey on geometric iter- ative methods and their applications

Reference 10

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This paper cites An extended iterative format for the progressive- iteration approximation.

A randomized progressive iterative regularization method for data fitting problems An extended iterative format for the progressive- iteration approximation

Reference 11

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This paper cites Preconditioned progressive iterative approximation for triangular b´ ezier patches and its application.

A randomized progressive iterative regularization method for data fitting problems Preconditioned progressive iterative approximation for triangular b´ ezier patches and its application

Reference 12

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This paper cites Weighted progressive iteration approximation and convergence anal- ysis.

A randomized progressive iterative regularization method for data fitting problems Weighted progressive iteration approximation and convergence anal- ysis

Reference 13

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A randomized progressive iterative regularization method for data fitting problems A regularization approach for sur- face reconstruction from point clouds

Reference 14

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This paper cites Uniform b-spline curve interpolation with prescribed tan- gent and curvature vectors.

A randomized progressive iterative regularization method for data fitting problems Uniform b-spline curve interpolation with prescribed tan- gent and curvature vectors

Reference 15

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A randomized progressive iterative regularization method for data fitting problems Unresolved cited work

Reference 16

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A randomized progressive iterative regularization method for data fitting problems Lspia, (stochastic) gradient descent, and parameter correction

Reference 17

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A randomized progressive iterative regularization method for data fitting problems Randomized progressive iterative approximation for b-spline curve and surface fittings

Reference 18

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A randomized progressive iterative regularization method for data fitting problems On the triple-parameter least squares progressive iterative approximation and its convergence analysis

Reference 19

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This paper cites Curve fitting of the user barrage emotional change based on the hybrid kernel pso lssvm model.

A randomized progressive iterative regularization method for data fitting problems Curve fitting of the user barrage emotional change based on the hybrid kernel pso lssvm model

Reference 20

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A randomized progressive iterative regularization method for data fitting problems Impulse noise image restoration using nonconvex variational model and dif- ference of convex functions algorithm

Reference 21

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A randomized progressive iterative regularization method for data fitting problems Generalized b-splines’ geomet- ric iterative fitting method with mutually different weights

Reference 22

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This paper cites Parametric surface reconstruction from 3d point data using partial differential equation and bilinearly blended coons patch.

A randomized progressive iterative regularization method for data fitting problems Parametric surface reconstruction from 3d point data using partial differential equation and bilinearly blended coons patch

Reference 23

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Pith citing papers

Observation 053e02b0-7fb6-42b0-8e96-325a3f80a10f · inbound

A data-driven model reduction approach for backward fractional diffusion-wave equations cites this paper.

A data-driven model reduction approach for backward fractional diffusion-wave equations A randomized progressive iterative regularization method for data fitting problems

Reference 3

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