Paper Citation Record · LEDGER

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective

As of 22 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2509.04951.

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

pith.paper-citation-record.v1
2509.04951 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:49:39.378962Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

22 of 22 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6986dc5-8b41-4679-9f7d-c00fdc65b2ac · outbound

This paper cites Development of Evaluation System of Student’s Concentration in Active Learning,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective Development of Evaluation System of Student’s Concentration in Active Learning,

Reference 1

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T05:49:39.852992Z

Source-reported events for the cited work

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Observation 670a5412-48d6-428c-a751-b9c7522d85bd · outbound

This paper cites What Does Eye-Blink Rate Variability Dynamics Tell Us About Cognitive Performance,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective What Does Eye-Blink Rate Variability Dynamics Tell Us About Cognitive Performance,

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-05T05:49:39.785990Z

Source-reported events for the cited work

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Observation 5bd74b7d-387f-4967-bc0b-6c98e43cedaf · outbound

This paper cites EEGLAB: an Open Source Toolbox for Analysis of Single-Trial EEG Dynamics, Including Independent Component Analysis,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective EEGLAB: an Open Source Toolbox for Analysis of Single-Trial EEG Dynamics, Including Independent Component Analysis,

Reference 3

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Observation a7495b1d-d8a5-4eba-a82b-785c75f07922 · outbound

This paper cites Automatic spike detection based on adap- tive template matching for extracellular neural recordings,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective Automatic spike detection based on adap- tive template matching for extracellular neural recordings,

Reference 4

Resolution: verified exact; doi, observed 2026-08-05T05:49:39.413964Z

Source-reported events for the cited work

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Observation 4c8d1894-85bb-43f1-b7c8-1b8ed21150a6 · outbound

This paper cites Extracting Blink Rate Variability from EEG Signals,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective Extracting Blink Rate Variability from EEG Signals,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:49:39.939279Z

Source-reported events for the cited work

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Observation 9fc90673-1912-4e9e-881e-f3e394a6d2af · outbound

This paper cites BLINKER: Automated Extraction of Ocular Indices from EEG Enabling Large-Scale Analysis,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective BLINKER: Automated Extraction of Ocular Indices from EEG Enabling Large-Scale Analysis,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T05:49:39.342829Z

Source-reported events for the cited work

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Observation 889f5b5f-d236-4256-b6ec-0a7464abbcf0 · outbound

This paper cites Use of spontaneous blinking for application in human authentication,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective Use of spontaneous blinking for application in human authentication,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:49:39.932017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 419547f0-76a0-451b-a6e3-4057cc042c93 · outbound

This paper cites Blink: A Fully Automated Unsuper- vised Algorithm for Eye-Blink Detection in EEG Signals,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective Blink: A Fully Automated Unsuper- vised Algorithm for Eye-Blink Detection in EEG Signals,

Reference 8

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T05:49:39.651219Z

Source-reported events for the cited work

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Observation 6075100f-63d1-4d13-82f4-c47acca8935b · outbound

This paper cites Unsupervised eye blink artifact detection from EEG with Gaussian mixture model,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective Unsupervised eye blink artifact detection from EEG with Gaussian mixture model,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:49:39.924279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 17bd2945-af01-4c98-bb8b-ffef07f9b912 · outbound

This paper cites Multidimensional feature optimization based eye blink detection under epileptiform discharges,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective Multidimensional feature optimization based eye blink detection under epileptiform discharges,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:49:39.916608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a83fec53-23af-48c3-97e9-95bdfdf38cca · outbound

This paper cites RT-Blink: A Method Toward Real-Time Blink Detection From Single Frontal EEG Signal,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective RT-Blink: A Method Toward Real-Time Blink Detection From Single Frontal EEG Signal,

Reference 11

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T05:49:39.583353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 77c86fca-ef4e-4356-aedf-9ce572077f88 · outbound

This paper cites 1D convolutional neural network approach to classify voluntary eye blinks in EEG signals for BCI applications,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective 1D convolutional neural network approach to classify voluntary eye blinks in EEG signals for BCI applications,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:49:39.908632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f1420bd-e1b8-42d4-98d7-fecd0ca1009c · outbound

This paper cites EEGANet: Removal of ocular artifacts from the EEG signal using generative adver- sarial networks,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective EEGANet: Removal of ocular artifacts from the EEG signal using generative adver- sarial networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:49:39.901181Z

Source-reported events for the cited work

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Observation b8d4c7ce-4ca9-4581-abfe-2bc875518cb8 · outbound

This paper cites LSTM based brain-machine interface tool for text generation through eyes blink- ing detection,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective LSTM based brain-machine interface tool for text generation through eyes blink- ing detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:49:39.893568Z

Source-reported events for the cited work

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Observation 06891446-94c3-4611-b080-cbf1d6cabfec · outbound

This paper cites CNN-based removal of eye blink artifacts from single-channel EEG,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective CNN-based removal of eye blink artifacts from single-channel EEG,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:49:39.885996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5db2b773-a046-491e-8fec-c994f279e652 · outbound

This paper cites EEG multipurpose eye blink detector using convolutional neural network.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective EEG multipurpose eye blink detector using convolutional neural network

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:49:39.521956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7c093dc0-efcf-42a7-a4f7-8f0429fe544f · outbound

This paper cites 1D-ResCNN: One-dimensional residual convolutional neural network for EEG signal denoising,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective 1D-ResCNN: One-dimensional residual convolutional neural network for EEG signal denoising,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:49:39.878013Z

Source-reported events for the cited work

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Observation b096a15c-fc2f-4a26-97ef-263f3a904992 · outbound

This paper cites Online V oluntary Eye Blink Detection using Electrooculogram,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective Online V oluntary Eye Blink Detection using Electrooculogram,

Reference 18

Resolution: verified exact; doi, observed 2026-08-05T05:49:39.405737Z

Source-reported events for the cited work

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Observation a7b9e234-8e0d-4eb4-beda-aa7b31478ac7 · outbound

This paper cites Extended ICA and M-CSP with BiLSTM Towards Improved Classification of EEG Signals,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective Extended ICA and M-CSP with BiLSTM Towards Improved Classification of EEG Signals,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:49:39.870476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c5716003-99bb-4b02-b72b-1294cfcc46ff · outbound

This paper cites A Temporal Convolution Network Solution for EEG Motor Imagery Classification,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective A Temporal Convolution Network Solution for EEG Motor Imagery Classification,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T05:49:39.374126Z

Source-reported events for the cited work

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Observation 0001375b-41f6-4bc8-bc0b-525b9fbf49d9 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T05:49:39.376423Z

Source-reported events for the cited work

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Observation bc44a1f5-6f71-4c3a-a75c-84ae3112a38a · outbound

This paper cites Patches Are All You Need?,.

Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective Patches Are All You Need?,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:49:39.862767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.