Paper Citation Record · LEDGER

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2606.03559.

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

pith.paper-citation-record.v1
2606.03559 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T11:07:44.056086Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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verified fuzzy0
unresolved33
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External citation measurements

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Outbound references

Observation 9a022f72-c297-416c-b069-f4ceed1a7787 · outbound

This paper cites Andr ´es, S.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Andr ´es, S

Reference 1

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Observation 99622fce-730b-4df5-9eb0-2cb8feb3c5a9 · outbound

This paper cites DC-programming for neural network optimizations.Journal of Global Optimization, January 2024.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression DC-programming for neural network optimizations.Journal of Global Optimization, January 2024

Reference 2

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Observation e5991670-f1b1-4cb4-9614-ccf07a878437 · outbound

This paper cites XGBoost: A scalable tree boosting system.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression XGBoost: A scalable tree boosting system

Reference 3

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Observation bc80929c-7eee-4906-b393-643ff5618f5f · outbound

This paper cites Trading convexity for scalability.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Trading convexity for scalability

Reference 4

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Observation 650c3d64-8346-4192-953b-0182b5ed3a1a · outbound

This paper cites an unresolved cited work.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Unresolved cited work

Reference 5

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Observation 63b3e8e8-374d-4c43-b143-68bf30a06946 · outbound

This paper cites Friedman.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Friedman

Reference 6

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Observation 63bcd621-b61b-4373-8df0-43f002fa5aa5 · outbound

This paper cites DC formulations and algorithms for sparse optimization problems.Mathematical Programming, 169(1):141–176, May 2018.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression DC formulations and algorithms for sparse optimization problems.Mathematical Programming, 169(1):141–176, May 2018

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T11:07:44.056086Z

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Observation 2eb59eb1-c44d-4821-a620-fb00ab62c75e · outbound

This paper cites Multilayer feedforward networks are universal approximators.Neural Networks, 2(5):359–366, 1989.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Multilayer feedforward networks are universal approximators.Neural Networks, 2(5):359–366, 1989

Reference 8

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Observation 7dc875bc-0d33-4121-9199-6dafcbd244bb · outbound

This paper cites A literature survey of benchmark functions for global optimisation problems.International Journal of Mathematical Modelling and Numerical Optimisation, 4(2):150–194, January 2013.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression A literature survey of benchmark functions for global optimisation problems.International Journal of Mathematical Modelling and Numerical Optimisation, 4(2):150–194, January 2013

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T11:07:44.056086Z

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Observation 64388328-70c0-4eae-ac84-0f626225dbf7 · outbound

This paper cites Jones, Matthias Schonlau, and William J.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Jones, Matthias Schonlau, and William J

Reference 10

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Observation 2de033a0-7101-4176-8cbe-6e226394d5bd · outbound

This paper cites Portfolio selection under downside risk measures and cardinality constraints based on DC programming and DCA.Computa- tional Management Science, 6(4):459–475, October 2009.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Portfolio selection under downside risk measures and cardinality constraints based on DC programming and DCA.Computa- tional Management Science, 6(4):459–475, October 2009

Reference 11

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Observation b3781eee-5a35-4583-8b2a-650388d2529c · outbound

This paper cites DC programming and DCA: Thirty years of developments.Mathematical Programming, 169(1):5–68, 2018.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression DC programming and DCA: Thirty years of developments.Mathematical Programming, 169(1):5–68, 2018

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T11:07:44.056086Z

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Observation 111f2a3b-e790-446b-ae89-f1efc4864f8d · outbound

This paper cites Design optimization using support vector regression.Journal of Mechanical Science and Technology, 22(2):213–220, 2008.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Design optimization using support vector regression.Journal of Mechanical Science and Technology, 22(2):213–220, 2008

Reference 13

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Observation 314d8339-c1b3-466b-a52a-e31e642b5022 · outbound

This paper cites arXiv preprint arXiv:2503.08921 (2025).

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression arXiv preprint arXiv:2503.08921 (2025)

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:16:26.565676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 38e3aeab-9345-48a9-b9ec-8518d341d22a · outbound

This paper cites Nakayama, M.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Nakayama, M

Reference 15

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Observation 74e67f39-7de3-4c46-8ecd-d4604c7e9b75 · outbound

This paper cites Vector Optimization.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Vector Optimization

Reference 16

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Observation 4be437cf-1898-4884-b5f4-3d62eab5e5fb · outbound

This paper cites Metamodel-based lightweight design of B-pillar with TWB structure via support vector regression.Computers & Structures, 88(1–2):36–44, 2010.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Metamodel-based lightweight design of B-pillar with TWB structure via support vector regression.Computers & Structures, 88(1–2):36–44, 2010

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T11:07:44.056086Z

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Observation e2c126f8-d4ca-480d-a68d-a32117540600 · outbound

This paper cites Convex analysis approach to d.c.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Convex analysis approach to d.c

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T11:07:44.056086Z

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Observation 6d80af8e-1a78-47b8-b083-8689265bd896 · outbound

This paper cites an unresolved cited work.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T11:07:44.056086Z

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Observation a2b342b5-8a36-4c46-95ea-c30f5afbc69d · outbound

This paper cites Scalable DC Optimization via Adaptive Frank-Wolfe Algorithms.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Scalable DC Optimization via Adaptive Frank-Wolfe Algorithms

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:16:26.568562Z

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Observation 6a9c6048-06f4-4edf-bcaf-4fcecff4b17f · outbound

This paper cites Queipo, Raphael T.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Queipo, Raphael T

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T11:07:44.056086Z

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Observation ad34f1db-f9d6-4156-bf19-31e4c7154dd4 · outbound

This paper cites Karniadakis.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Karniadakis

Reference 22

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Observation e4102cc9-ac9e-4555-b23e-e1c6b7ce4d6b · outbound

This paper cites Welch, Toby J.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Welch, Toby J

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T11:07:44.056086Z

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Observation 71a78af6-9366-42a9-8adf-23e15556b6f2 · outbound

This paper cites Adams, and Nando de Freitas.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Adams, and Nando de Freitas

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T11:07:44.056086Z

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Observation c134617e-e180-416c-acb3-e34fd4c78099 · outbound

This paper cites Gary Wang.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Gary Wang

Reference 25

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Observation 0d3da5f8-ab81-4d0f-9038-19fde206054b · outbound

This paper cites Simpson, J.D.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Simpson, J.D

Reference 26

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Observation c761b661-dda8-4ca3-8e0d-30cf3438acfd · outbound

This paper cites Smola and Bernhard Sch ¨olkopf.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Smola and Bernhard Sch ¨olkopf

Reference 27

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Observation 93d5c6f5-7d65-4c55-bd9a-f65f11e61676 · outbound

This paper cites Surjanovic and D.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Surjanovic and D

Reference 28

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Observation 54f93048-439d-4539-b3fd-61a96bff4dd0 · outbound

This paper cites Vapnik.The Nature of Statistical Learning Theory.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Vapnik.The Nature of Statistical Learning Theory

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T11:07:44.056086Z

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Observation 3f81c32b-75be-4b20-b3ab-dbc92ab0ff0a · outbound

This paper cites an unresolved cited work.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Unresolved cited work

Reference 30

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Observation 1511c5a3-7cf9-4fca-91f3-35afde4739c1 · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St´efan J.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St´efan J

Reference 31

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Observation 39b0172c-ffa7-4c62-a7a7-21256cf27b81 · outbound

This paper cites Gary Wang and Songqing Shan.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Gary Wang and Songqing Shan

Reference 32

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Observation 3407fc26-d30f-4cc7-aa0d-73444ed32df3 · outbound

This paper cites Multi-objective optimization based on meta-modeling by using support vector regression.Optimization and Engineering, 10(2):167–181, 2009.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Multi-objective optimization based on meta-modeling by using support vector regression.Optimization and Engineering, 10(2):167–181, 2009

Reference 33

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Observation 5ddf4439-05d3-45b8-9fa1-2987b4b4bd6b · outbound

This paper cites Surrogate-based branch-and-bound algorithms for simulation-based black-box optimization.Optimization and Engineering, 24(3):1463– 1491, September 2023.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Surrogate-based branch-and-bound algorithms for simulation-based black-box optimization.Optimization and Engineering, 24(3):1463– 1491, September 2023

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-28T11:07:44.056086Z

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Observation c1218871-da47-49f1-aff1-a3c50a5d596b · outbound

This paper cites Use of support vector regression in structural optimization: Application to vehicle crashworthiness design.Mathematics and Computers in Simulation, 86:21–31, 2012.

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression Use of support vector regression in structural optimization: Application to vehicle crashworthiness design.Mathematics and Computers in Simulation, 86:21–31, 2012

Reference 35

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