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Paper Citation Record · LEDGER

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction

As of 11 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.19902.

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pith.paper-citation-record.v1
2607.19902 v1

Coverage vector

measured 45 of 45 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T11:28:30.475239Z

measured 45 of 45 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

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Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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Outbound references

Observation d6d51e70-c74e-4e5d-9be5-de514e6657e3 · outbound

This paper cites an unresolved cited work.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Unresolved cited work

Reference 1

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Observation fdcb84cd-299f-4056-8d91-3a7fffeb6d93 · outbound

This paper cites Zhao and B.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Zhao and B

Reference 2

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Observation dbf30dec-bd70-4e6b-801d-698f0187e70e · outbound

This paper cites A family of robust generalized adaptive filters and application for time-series prediction,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction A family of robust generalized adaptive filters and application for time-series prediction,

Reference 3

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Observation f6b49302-3ece-4485-a534-9b7effa8e06e · outbound

This paper cites The kernel least-mean-square algorithm,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction The kernel least-mean-square algorithm,

Reference 4

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Observation d285416e-8ad2-492f-8b85-f1acedaf6b15 · outbound

This paper cites Mean square convergence analysis for kernel least mean square algorithm,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Mean square convergence analysis for kernel least mean square algorithm,

Reference 5

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Observation 30f060ae-5f5f-41e3-914e-c9cc8cc28e36 · outbound

This paper cites Mixture kernel least mean square,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Mixture kernel least mean square,

Reference 6

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Observation a92953b2-1ab2-46fa-8a0a-5a1a5c0b31fd · outbound

This paper cites The kernel recursive least- squares algorithm,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction The kernel recursive least- squares algorithm,

Reference 7

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Observation f818de82-44da-402a-9a42-cdda48d11792 · outbound

This paper cites Research progress on intelligent system’s learning, optimization, and control—part ii: online sparse kernel adaptive algorithm,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Research progress on intelligent system’s learning, optimization, and control—part ii: online sparse kernel adaptive algorithm,

Reference 8

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Observation 0e17c3c1-091c-4aa4-9f8d-8c2ef6b13552 · outbound

This paper cites Sparse online greedy support vector regression,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Sparse online greedy support vector regression,

Reference 9

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Observation baaf90ea-d714-4c20-9bca-0a7e34e2c5e2 · outbound

This paper cites Quantized kernel least mean square algorithm,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Quantized kernel least mean square algorithm,

Reference 10

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Observation 5b51f7ef-9fca-480d-bbd2-f5ff1d809417 · outbound

This paper cites Quantized kernel lleast lncosh algorithm,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Quantized kernel lleast lncosh algorithm,

Reference 11

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Observation 7960a33a-02d8-4045-85a7-dd2683cd8884 · outbound

This paper cites Online learning with kernels: Overcoming the growing sum problem,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Online learning with kernels: Overcoming the growing sum problem,

Reference 12

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Observation 635f1752-71fc-4342-8c56-f04d3b4546c4 · outbound

This paper cites On the Error of Random Fourier Features.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction On the Error of Random Fourier Features

Reference 13

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Observation 6e37abfb-01cc-4c8d-aadb-f9a8e35b2c1d · outbound

This paper cites Random features for large-scale kernel machines,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Random features for large-scale kernel machines,

Reference 14

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Observation f0f13101-ff80-4e3e-af31-9b942e7f75ab · outbound

This paper cites Online optimization with costly and noisy measurements using random fourier expansions,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Online optimization with costly and noisy measurements using random fourier expansions,

Reference 15

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Observation c90bd41a-b443-47ab-8b65-af995737a1cd · outbound

This paper cites An improved robust kernel adaptive filtering method for time- series prediction,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction An improved robust kernel adaptive filtering method for time- series prediction,

Reference 16

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Observation c1057b2a-3395-4120-ab7b-08360889cd4c · outbound

This paper cites Robust kernel recursive adaptive filtering algorithms based on m-estimate,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Robust kernel recursive adaptive filtering algorithms based on m-estimate,

Reference 17

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Observation 7c545f3b-a801-4f91-b75d-b06eade52a11 · outbound

This paper cites Kernel robust mixed-norm adaptive filtering,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Kernel robust mixed-norm adaptive filtering,

Reference 18

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Observation 2ce56a07-56ef-4886-af6e-27bb879b87bd · outbound

This paper cites Kernel adaptive filtering with maximum correntropy criterion,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Kernel adaptive filtering with maximum correntropy criterion,

Reference 19

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Observation 51a6c0b5-a23d-4de0-acca-410b08b68333 · outbound

This paper cites Kernel least mean p-power algorithm,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Kernel least mean p-power algorithm,

Reference 20

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Observation 568505ef-b68f-44f1-8494-5fc8fff6fefa · outbound

This paper cites Random fourier filters under maximum correntropy criterion,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Random fourier filters under maximum correntropy criterion,

Reference 21

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Observation 86f4df48-1b06-43ea-8c26-4375dba7a7e7 · outbound

This paper cites Mixture random features spaces for robust adaptive filtering,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Mixture random features spaces for robust adaptive filtering,

Reference 22

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Observation 5db294c6-59f0-4af4-9fd3-1ec8653c8e51 · outbound

This paper cites Laguerre kernel adaptive filter with arctangent criterion for nonlinear system identification,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Laguerre kernel adaptive filter with arctangent criterion for nonlinear system identification,

Reference 23

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Observation 4e722582-882a-4108-b277-3424761ecf64 · outbound

This paper cites Robust generalized maximum blake– zisserman total correntropy adaptive filter for generalized gaus- sian noise and noisy input,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Robust generalized maximum blake– zisserman total correntropy adaptive filter for generalized gaus- sian noise and noisy input,

Reference 24

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Observation ae751cc0-fc03-42cb-914b-87a8a7a8a6eb · outbound

This paper cites Proportionate total adaptive filtering algorithms for sparse system identification,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Proportionate total adaptive filtering algorithms for sparse system identification,

Reference 25

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Observation 1bd2c872-3baa-422c-947c-15127cc74429 · outbound

This paper cites Maximum total complex correntropy for adaptive filter,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Maximum total complex correntropy for adaptive filter,

Reference 26

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Observation f837e171-ff81-4eef-9ba5-4e752e9e68f7 · outbound

This paper cites Total least squares normalized subband adaptive filter algorithm for noisy input,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Total least squares normalized subband adaptive filter algorithm for noisy input,

Reference 27

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Observation 0e093e01-a366-4037-9ef3-61d09572f52a · outbound

This paper cites A fractional-order gradient-descent total least mean p-norm adaptive filtering algorithm in impulsive noise environments,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction A fractional-order gradient-descent total least mean p-norm adaptive filtering algorithm in impulsive noise environments,

Reference 28

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Observation 5a6fa123-5d9a-46b9-82d4-0a717b108bbe · outbound

This paper cites Robust bias-compensated cr-nsaf algorithm: Design and per- formance analysis,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Robust bias-compensated cr-nsaf algorithm: Design and per- formance analysis,

Reference 29

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Observation 6de8a70d-37d7-461f-9ba4-85ed08d791b0 · outbound

This paper cites Bias-compensated sign subband adaptive filter algorithm with individual weighting factors for input noise,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Bias-compensated sign subband adaptive filter algorithm with individual weighting factors for input noise,

Reference 30

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This paper cites A bias-compensated nmmcc algorithm against noisy input and non-gaussian interference,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction A bias-compensated nmmcc algorithm against noisy input and non-gaussian interference,

Reference 31

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Observation ee489671-ec31-414e-949d-b01c034dac25 · outbound

This paper cites Stability analysis of the bias compensated lms algorithm,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Stability analysis of the bias compensated lms algorithm,

Reference 32

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Observation 0da6985d-638b-4dd1-8c37-9115c9b03717 · outbound

This paper cites Robust bias-compensated subband adaptive filtering,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Robust bias-compensated subband adaptive filtering,

Reference 33

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Observation 15abf473-2506-4ec7-b5af-71c7f18ffb6f · outbound

This paper cites Bias-compensated mccc algorithm for widely linear adaptive filtering with noisy data,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Bias-compensated mccc algorithm for widely linear adaptive filtering with noisy data,

Reference 34

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Observation 5fe577e1-ff70-453b-bb52-4c43ebe10285 · outbound

This paper cites Enhanced bias- compensated nlms for adaptive doa estimation,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Enhanced bias- compensated nlms for adaptive doa estimation,

Reference 35

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Observation 079ecf09-5031-435a-adde-9929c57b4503 · outbound

This paper cites Bias- compensated normalized maximum correntropy criterion al- gorithm for system identification with noisy input,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Bias- compensated normalized maximum correntropy criterion al- gorithm for system identification with noisy input,

Reference 36

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Observation c69448ff-e33c-4858-bef9-00a3892616cd · outbound

This paper cites Bias-compensated sign algorithm for noisy inputs and its step-size optimization,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Bias-compensated sign algorithm for noisy inputs and its step-size optimization,

Reference 37

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Observation caa2bce8-c7de-4588-ba6c-be8a8a40e065 · outbound

This paper cites An efficient recursive total least squares algo- rithm for fir adaptive filtering,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction An efficient recursive total least squares algo- rithm for fir adaptive filtering,

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This paper cites Bias compen- sation for kernel least-mean-square algorithms,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Bias compen- sation for kernel least-mean-square algorithms,

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This paper cites Algorithm and architecture design of random fourier features- based kernel adaptive filters,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Algorithm and architecture design of random fourier features- based kernel adaptive filters,

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This paper cites A general and adaptive robust loss function,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction A general and adaptive robust loss function,

Reference 41

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Observation 5fe0b03b-f043-4c37-98aa-4a3cdf516bec · outbound

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Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Unresolved cited work

Reference 42

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This paper cites Robust least mean logarithmic square adaptive filtering algorithms,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Robust least mean logarithmic square adaptive filtering algorithms,

Reference 43

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Observation 806e5783-48c2-4256-89f8-1281480bf2b2 · outbound

This paper cites Correntropy: Properties and applications in non-gaussian signal processing,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Correntropy: Properties and applications in non-gaussian signal processing,

Reference 44

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This paper cites Predicting sun spots using a layered perceptron neural network,.

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction Predicting sun spots using a layered perceptron neural network,

Reference 45

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