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Paper Citation Record · LEDGER

Kernel Stochastic Configuration Networks for Nonlinear Regression

As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2412.05846.

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

pith.paper-citation-record.v1
2412.05846 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:21:04.216541Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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 fuzzy31
  • unresolved1
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0bd98654-eb1b-423b-aa5f-52e647a37532 · outbound

This paper cites Explaining deep neural networks and beyond: A review of methods and applications,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Explaining deep neural networks and beyond: A review of methods and applications,

Reference 1

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This paper cites Learning internal representations by back-propagating errors,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Learning internal representations by back-propagating errors,

Reference 2

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This paper cites Effective data mining using neural networks,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Effective data mining using neural networks,

Reference 3

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This paper cites Editorial: Randomized algorithms for training neural net- works,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Editorial: Randomized algorithms for training neural net- works,

Reference 4

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This paper cites Randomness in neural networks: An overview,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Randomness in neural networks: An overview,

Reference 5

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Observation 3c70c19e-fb57-471b-b582-3122d9b7fdfa · outbound

This paper cites Insights into randomized algorithms for neural networks: Practical issues and common pitfalls,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Insights into randomized algorithms for neural networks: Practical issues and common pitfalls,

Reference 6

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This paper cites Stochastic configuration networks: Fundamentals and algorithms,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Stochastic configuration networks: Fundamentals and algorithms,

Reference 7

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Observation bec12097-8b79-4595-b41e-bfb349ac0a4c · outbound

This paper cites Predicting particle size of copper ore grinding with stochastic configuration networks,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Predicting particle size of copper ore grinding with stochastic configuration networks,

Reference 8

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Observation fd02646e-6898-4600-9bff-8c69cc7aa25a · outbound

This paper cites 2-D stochastic configuration networks for image data analytics,.

Kernel Stochastic Configuration Networks for Nonlinear Regression 2-D stochastic configuration networks for image data analytics,

Reference 9

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Observation 5ff2b332-3613-4a21-93d7-f2d53fed00aa · outbound

This paper cites Recurrent Stochastic Configuration Networks for Temporal Data Analytics.

Kernel Stochastic Configuration Networks for Nonlinear Regression Recurrent Stochastic Configuration Networks for Temporal Data Analytics

Reference 10

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Observation b4e32d77-f1aa-4f55-bb58-d2cb3cc0cd79 · outbound

This paper cites Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics.

Kernel Stochastic Configuration Networks for Nonlinear Regression Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics

Reference 11

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Observation bfbde703-2b65-4e6e-b2ad-ace3086074bb · outbound

This paper cites Online self-learning stochastic configura- tion networks for nonstationary data stream analysis,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Online self-learning stochastic configura- tion networks for nonstationary data stream analysis,

Reference 12

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Observation 59b4aa17-68ce-4f08-80e8-f2694fd577f9 · outbound

This paper cites Fuzzy stochastic configuration networks for nonlinear system modeling,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Fuzzy stochastic configuration networks for nonlinear system modeling,

Reference 13

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Observation a451c7ba-8b3b-4778-9a74-cdd04f4ac445 · outbound

This paper cites Mixed-distribution-based robust stochastic configu- ration networks for prediction interval construction,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Mixed-distribution-based robust stochastic configu- ration networks for prediction interval construction,

Reference 14

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Observation 9b51ad9d-a4bd-48a5-a6bc-eff05b72d2b6 · outbound

This paper cites Ensemble stochastic configuration networks for estimating prediction intervals: A simultaneous robust train- ing algorithm and its application,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Ensemble stochastic configuration networks for estimating prediction intervals: A simultaneous robust train- ing algorithm and its application,

Reference 15

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Observation 484db387-c969-4440-b4d3-843c36582339 · outbound

This paper cites Hybrid parallel stochastic configuration networks for industrial data analytics,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Hybrid parallel stochastic configuration networks for industrial data analytics,

Reference 16

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Observation fb38456d-f7c1-4009-a77a-e144b8e7bf90 · outbound

This paper cites Nonlinear component analysis as a kernel eigenvalue problem,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Nonlinear component analysis as a kernel eigenvalue problem,

Reference 17

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Observation c46a3923-5608-4e72-bfaf-6f8e6b3b4ec8 · outbound

This paper cites Sch ¨olkopf and A.J.

Kernel Stochastic Configuration Networks for Nonlinear Regression Sch ¨olkopf and A.J

Reference 18

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Observation 02bdba45-07a5-43c8-9348-2d85d433c057 · outbound

This paper cites An introduction to kernel-based learning algorithms,.

Kernel Stochastic Configuration Networks for Nonlinear Regression An introduction to kernel-based learning algorithms,

Reference 19

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Observation fdec2f00-1bbd-46a8-aa72-b1a4bc3d5992 · outbound

This paper cites Sup- port vector machines,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Sup- port vector machines,

Reference 20

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Observation fd68ca0a-3427-4813-b3b5-70d39da56d95 · outbound

This paper cites A tutorial on support vector regression,.

Kernel Stochastic Configuration Networks for Nonlinear Regression A tutorial on support vector regression,

Reference 21

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This paper cites Universal approximation using radial-basis- function networks,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Universal approximation using radial-basis- function networks,

Reference 22

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Observation 4f4cfd76-9481-4eea-9aa8-7934cce5fb5f · outbound

This paper cites Functional-link net computing: Theory, system architecture, and functionalities,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Functional-link net computing: Theory, system architecture, and functionalities,

Reference 23

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Observation 9ccefd99-ea66-4afc-908e-a82db03ec26b · outbound

This paper cites Automatic early stopping using cross validation: Quanti- fying the criteria,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Automatic early stopping using cross validation: Quanti- fying the criteria,

Reference 24

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This paper cites Principal composite kernel feature analysis: Data-dependent kernel approach,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Principal composite kernel feature analysis: Data-dependent kernel approach,

Reference 25

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Observation c71a1bca-fac9-4f26-9e28-a1067caecd18 · outbound

This paper cites Feasibility of random basis function approximators for modeling and control,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Feasibility of random basis function approximators for modeling and control,

Reference 26

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Kernel Stochastic Configuration Networks for Nonlinear Regression Fortuna, S

Reference 27

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This paper cites A review on soft sensors for monitoring, control, and optimization of industrial processes,.

Kernel Stochastic Configuration Networks for Nonlinear Regression A review on soft sensors for monitoring, control, and optimization of industrial processes,

Reference 28

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Observation 0e294adf-4623-427a-b1ba-11d3b6f5f1bc · outbound

This paper cites Variational inference over graph: Knowl- edge representation for deep process data analytics,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Variational inference over graph: Knowl- edge representation for deep process data analytics,

Reference 29

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This paper cites Transfer learning for dynamic fea- ture extraction using variational bayesian inference,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Transfer learning for dynamic fea- ture extraction using variational bayesian inference,

Reference 30

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Observation 1200e738-5c43-4d15-b3e9-1e7d967768aa · outbound

This paper cites Multi-label classifier based on kernel random vector functional link network,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Multi-label classifier based on kernel random vector functional link network,

Reference 31

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Source-reported events for the cited work

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This paper cites Kernel-based random vector functional-link network for fast learning of spatiotemporal dynamic processes,.

Kernel Stochastic Configuration Networks for Nonlinear Regression Kernel-based random vector functional-link network for fast learning of spatiotemporal dynamic processes,

Reference 32

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Source-reported events for the cited work

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Observation 48015f90-247b-4b41-92b8-98ffd6ab33d9 · outbound

This paper cites A comprehensive survey on regularization strategies in machine learning,.

Kernel Stochastic Configuration Networks for Nonlinear Regression A comprehensive survey on regularization strategies in machine learning,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c782bfc2-fc12-42cf-ba1e-fb942b7cd9e5 · outbound

This paper cites Stochastic Configuration Machines for Industrial Artificial Intelligence.

Kernel Stochastic Configuration Networks for Nonlinear Regression Stochastic Configuration Machines for Industrial Artificial Intelligence

Reference 34

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Source-reported events for the cited work

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Observation c75069aa-cd4f-4ec1-b4c8-527fa121557c · outbound

This paper cites Stochastic Configuration Machines: FPGA Implementation.

Kernel Stochastic Configuration Networks for Nonlinear Regression Stochastic Configuration Machines: FPGA Implementation

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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