Paper Citation Record · LEDGER

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications

As of 11 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2507.09213.

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

pith.paper-citation-record.v1
2507.09213 v1

Coverage vector

measured 41 of 41 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-06T18:07:41.464103Z

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

41 of 41 outbound references displayed

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External citation measurements

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Outbound references

Observation f1ab7f59-23d6-416d-a3bc-b6a8720e5633 · outbound

This paper cites Semi-supervised learning for multi-label cardiovascular diseases prediction: a multi-dataset study,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Semi-supervised learning for multi-label cardiovascular diseases prediction: a multi-dataset study,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:48.820045Z

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Observation de971b8e-dec5-4180-aa54-1b1425884398 · outbound

This paper cites Autonet-generated deep layer-wise convex networks for ecg classification,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Autonet-generated deep layer-wise convex networks for ecg classification,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:48.689342Z

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Observation 3c2f5ca4-f551-400f-a18b-c7577746d432 · outbound

This paper cites Constructive neural-network learning algorithms for pattern classification,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Constructive neural-network learning algorithms for pattern classification,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:48.527080Z

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Observation 1d4b695e-9210-4c1a-9f36-6d88bc9380d0 · outbound

This paper cites Constructive training of probabilistic neural networks,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Constructive training of probabilistic neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:48.360208Z

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Observation 3787426e-3aed-4e80-bb72-782193aab136 · outbound

This paper cites On the expressivity of recurrent neural cascades,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications On the expressivity of recurrent neural cascades,

Reference 5

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Observation 5cdf0ce2-5b11-4e0b-a145-3fb4ef3004ea · outbound

This paper cites Incremental extreme learning ma- chine based on cascade neural networks,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Incremental extreme learning ma- chine based on cascade neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:48.012799Z

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Observation 74b762e7-794d-44c3-917f-506d90561ca5 · outbound

This paper cites Wavelet neural networks: A practical guide,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Wavelet neural networks: A practical guide,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:47.829015Z

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Observation 374f222d-5479-40ab-bf03-21edd8588739 · outbound

This paper cites High precision robust control for periodic tasks of linear motor via B-spline wavelet neural network observer,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications High precision robust control for periodic tasks of linear motor via B-spline wavelet neural network observer,

Reference 8

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Observation 945a48e7-715a-4f44-a5e1-2c6895a4603c · outbound

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Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Wavelet neural net- works for function learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:47.515289Z

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Observation c59ded4d-c88f-4c54-b3db-af3a8d9f6864 · outbound

This paper cites Wavelet-powered neural networks for turbulence,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Wavelet-powered neural networks for turbulence,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:47.350649Z

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Observation bc0f0d43-3b31-4771-b00e-9ecd7b36fa45 · outbound

This paper cites A constructive algorithm for wavelet neural networks,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications A constructive algorithm for wavelet neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:47.184807Z

Source-reported events for the cited work

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Observation 6e6d6038-0325-4656-aa76-7886064b80a3 · outbound

This paper cites Nonlinear adaptive wavelet control using con- structive wavelet networks,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Nonlinear adaptive wavelet control using con- structive wavelet networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:47.061526Z

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Observation 635a19f6-e8c8-4f22-86f6-2b20f6087998 · outbound

This paper cites Adaptive wavelet networks for nonlinear system identification,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Adaptive wavelet networks for nonlinear system identification,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:46.920896Z

Source-reported events for the cited work

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Observation 200ab72d-a8f3-4135-bd33-b433bf0966de · outbound

This paper cites Using wavelets in nonparametric estimation,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Using wavelets in nonparametric estimation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:46.745173Z

Source-reported events for the cited work

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Observation 88d0ed56-a8ef-4387-9183-0cdb3e545f74 · outbound

This paper cites WaveCNNs-AT: Wavelet- based deep CNNs of adaptive threshold for signal recognition,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications WaveCNNs-AT: Wavelet- based deep CNNs of adaptive threshold for signal recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:46.537447Z

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Observation fc78914f-ef80-4750-84c8-66a0fc175257 · outbound

This paper cites A hierarchical evolutionary algorithm for constructing and training wavelet networks,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications A hierarchical evolutionary algorithm for constructing and training wavelet networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:46.197300Z

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Observation 53f7911d-aeca-4860-ac27-ab30b4fb959d · outbound

This paper cites Learning algorithm of wavelet network based on sampling theory,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Learning algorithm of wavelet network based on sampling theory,

Reference 18

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Observation 5fb2a2b7-3f5b-46b4-ab12-0652ed113e58 · outbound

This paper cites Physics guided wavelet convolutional neural network for wind-induced vibration modeling with application to structural dynamic reliability analysis,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Physics guided wavelet convolutional neural network for wind-induced vibration modeling with application to structural dynamic reliability analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:45.844777Z

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Observation 11ecb90d-b492-45e9-91ec-bd3b3bcdb664 · outbound

This paper cites Research and application of wavelet neural network in electrical resistivity imaging inversion,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Research and application of wavelet neural network in electrical resistivity imaging inversion,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:45.691263Z

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Observation 86a3bf33-ff78-4069-a827-0b547ae2f0aa · outbound

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Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Multiwavelet-based operator learning for differential equations,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:45.586902Z

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Observation 7ff1e80e-cb1b-4db8-948c-544a2b97e38d · outbound

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Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Non-linear operator approximations for initial value problems,

Reference 22

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Observation d72fb244-ef96-4463-975c-1b1a9fc34660 · outbound

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Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Coupled multiwavelet operator learning for coupled differential equations,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:45.264770Z

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Observation b0c385e2-249d-472b-8932-7a7325d8a27a · outbound

This paper cites Wavelet neural operator for solving parametric partial differential equations in computational mechanics problems,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Wavelet neural operator for solving parametric partial differential equations in computational mechanics problems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:45.131110Z

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Observation 105a8b04-da7e-482b-b7b8-070574ed2872 · outbound

This paper cites Koopman theory-inspired method for learning time advancement operators in unstable flame front evolution,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Koopman theory-inspired method for learning time advancement operators in unstable flame front evolution,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:44.942360Z

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Observation 154c58f9-d674-4b18-9230-80815febeac0 · outbound

This paper cites Iterative algorithm of wavelet network learning from nonuni- form data,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Iterative algorithm of wavelet network learning from nonuni- form data,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:44.741046Z

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Observation fa8f39b9-ff59-4dfc-99c9-a8a974701123 · outbound

This paper cites On learning over-parameterized neural networks: A functional approximation perspective,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications On learning over-parameterized neural networks: A functional approximation perspective,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:44.586329Z

Source-reported events for the cited work

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Observation 60a890fa-3161-4628-90c1-a2e270472ef5 · outbound

This paper cites The wavelet transform, time-frequency localization and signal analysis,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications The wavelet transform, time-frequency localization and signal analysis,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:44.426331Z

Source-reported events for the cited work

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Observation f21089d5-7a73-4072-8183-3e645e3f6772 · outbound

This paper cites Multiresolution approximations and wavelet orthonormal bases of l2(r),.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Multiresolution approximations and wavelet orthonormal bases of l2(r),

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:44.266773Z

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Observation b96cb6f6-07a7-4750-8f1e-4d02c3729c24 · outbound

This paper cites Singularity detection and processing with wavelets,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Singularity detection and processing with wavelets,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:44.158195Z

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Observation 8a63bb31-6ace-4cc2-902f-1647c52a75cd · outbound

This paper cites Multidimensional wavelet frames,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Multidimensional wavelet frames,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:44.014391Z

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Observation 88e1a68e-4e16-408f-98bf-4476e4b50069 · outbound

This paper cites Adaptive learning control for finite interval tracking based on constructive function approximation and wavelet,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Adaptive learning control for finite interval tracking based on constructive function approximation and wavelet,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:46.330891Z

Source-reported events for the cited work

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Observation aabae115-2aad-41f1-b3de-6c1d725a52a6 · outbound

This paper cites Multi-source localization using optimized time-frequency representation and sparsity component analysis,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Multi-source localization using optimized time-frequency representation and sparsity component analysis,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:43.840198Z

Source-reported events for the cited work

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Observation 106035f1-6b5d-4ca0-958f-fa0b851344bb · outbound

This paper cites Analysis and synthesis of feedforward neural networks using discrete affine wavelet transformations,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Analysis and synthesis of feedforward neural networks using discrete affine wavelet transformations,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:43.633952Z

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Observation 6e7ded99-c62c-4666-9ded-f859b6ef73de · outbound

This paper cites Wavelet neural net- works for function learning,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Wavelet neural net- works for function learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:43.304313Z

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Observation 345f4711-019b-455e-a49b-3f9358a18f12 · outbound

This paper cites A wavelet-neural networks model for time series,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications A wavelet-neural networks model for time series,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:43.022836Z

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Observation 274027c1-d8ea-480e-994c-e00a7f249fdc · outbound

This paper cites Mill data set,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Mill data set,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:42.775294Z

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Observation 9fe399d9-f62a-4952-95fd-32cde5ddb556 · outbound

This paper cites Weak monotonicity with trend analysis for unsupervised feature evaluation,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Weak monotonicity with trend analysis for unsupervised feature evaluation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:42.532030Z

Source-reported events for the cited work

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Observation 688bbbd4-baf1-45a2-8bf3-11eb8ca32265 · outbound

This paper cites Decoding 2.3 million ECGs: Interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Decoding 2.3 million ECGs: Interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:42.323624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7386cb66-5d3a-457e-9883-906a0de86988 · outbound

This paper cites Weak monotonicity with trend analysis for unsupervised feature evaluation,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Weak monotonicity with trend analysis for unsupervised feature evaluation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:42.049097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6058bd79-5c44-4119-a4dc-ed31fb772b7d · outbound

This paper cites Iterative learning based consensus control for distributed parameter type multi-agent differential inclu- sion systems,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Iterative learning based consensus control for distributed parameter type multi-agent differential inclu- sion systems,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:41.869203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5141d68a-f136-4ff0-ae42-7f726cc7f238 · outbound

This paper cites Efficient architecture search for continual learning,.

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications Efficient architecture search for continual learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:41.698253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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