Paper Citation Record · LEDGER

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2411.09874.

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

pith.paper-citation-record.v1
2411.09874 v1

Coverage vector

measured 36 of 36 reference resolution

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measured 36 of 36 standing notices

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

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation f1174511-4773-4def-ab23-9f8f2a7eeeed · outbound

This paper cites Electroencephalography: An Introductory Text and Atlas of Normal and Abnormal Findings in Adults, Children, and Infants,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Electroencephalography: An Introductory Text and Atlas of Normal and Abnormal Findings in Adults, Children, and Infants,

Reference 1

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This paper cites Histogram-based Outlier Score (HBOS): A fast Unsupervised Anomaly Detection Algorithm,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Histogram-based Outlier Score (HBOS): A fast Unsupervised Anomaly Detection Algorithm,

Reference 2

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This paper cites MEG and EEG data analysis with MNE-Python,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation MEG and EEG data analysis with MNE-Python,

Reference 3

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This paper cites A Call to Address AI ’Hallucinations’ and How Healthcare Professionals Can Mitigate Their Risks,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation A Call to Address AI ’Hallucinations’ and How Healthcare Professionals Can Mitigate Their Risks,

Reference 4

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Observation 3ea14ab8-0916-48f1-bf6e-4ae31bbd2ba1 · outbound

This paper cites Deep residual learning for image recognition,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Deep residual learning for image recognition,

Reference 5

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Observation 01a8b1f1-219f-4b4b-ab3e-7d824584bcf0 · outbound

This paper cites American Clinical Neurophysiology Society’s Stan- dardized Critical Care EEG Terminology: 2021 Version,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation American Clinical Neurophysiology Society’s Stan- dardized Critical Care EEG Terminology: 2021 Version,

Reference 6

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Observation d903a52c-c84d-4a3f-8c13-977c07b3483c · outbound

This paper cites Quantification of the adult EEG background pattern,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Quantification of the adult EEG background pattern,

Reference 7

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This paper cites Assessing digital and quantitative EEG in clinical set- tings,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Assessing digital and quantitative EEG in clinical set- tings,

Reference 8

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This paper cites FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data,

Reference 9

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This paper cites An Introduction to Convolutional Neural Networks.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation An Introduction to Convolutional Neural Networks

Reference 10

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Observation 048aadf0-2156-420f-b1ec-472fe532835b · outbound

This paper cites Unsupervised EEG Artifact Detection and Correction,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Unsupervised EEG Artifact Detection and Correction,

Reference 11

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Observation 56d55993-f722-42fd-a6c9-ffad4df80cbd · outbound

This paper cites Automated EEG anal- ysis: Characterizing the posterior dominant rhythm,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Automated EEG anal- ysis: Characterizing the posterior dominant rhythm,

Reference 12

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Observation add5e86a-ee52-490b-bb75-1f0185a233f9 · outbound

This paper cites Going deeper with convolutions,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Going deeper with convolutions,

Reference 13

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This paper cites Normal Adult EEG and Patterns of Uncertain Significance,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Normal Adult EEG and Patterns of Uncertain Significance,

Reference 14

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Observation a44cd729-8a02-40de-a4bb-35b4e78661fc · outbound

This paper cites Spectrum estimation and harmonic analysis,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Spectrum estimation and harmonic analysis,

Reference 15

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This paper cites Chollet et al., “Keras,” 2015.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Chollet et al., “Keras,” 2015

Reference 16

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Observation 15ae65bf-d120-425c-a8e9-b0ed264a6ef5 · outbound

This paper cites Automated Interpretation of Clinical Electroencephalo- grams Using Artificial Intelligence,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Automated Interpretation of Clinical Electroencephalo- grams Using Artificial Intelligence,

Reference 17

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This paper cites A method to standardize a reference of scalp EEG recordings to a point at infinity,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation A method to standardize a reference of scalp EEG recordings to a point at infinity,

Reference 18

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Observation 66582023-81b0-479e-ad93-5d021cb0d68f · outbound

This paper cites Which Reference Should We Use for EEG and ERP practice?.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Which Reference Should We Use for EEG and ERP practice?

Reference 19

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This paper cites Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices

Reference 20

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This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 21

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Observation e8a07402-b31d-4a46-8d1b-d68d87a65bc3 · outbound

This paper cites Introducing the next generation of Claude,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Introducing the next generation of Claude,

Reference 22

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A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Hello GPT-4o,

Reference 23

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A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Unresolved cited work

Reference 24

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This paper cites The global burden of neurological disorders: trans- lating evidence into policy,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation The global burden of neurological disorders: trans- lating evidence into policy,

Reference 25

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This paper cites Significance of EEG Signals in Medical and Health Research,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Significance of EEG Signals in Medical and Health Research,

Reference 26

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This paper cites Removal of Artifacts from EEG Signals: A Review,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Removal of Artifacts from EEG Signals: A Review,

Reference 27

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This paper cites A Review of Multitaper Spectral Analysis,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation A Review of Multitaper Spectral Analysis,

Reference 28

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This paper cites Computing inter-rater reliability and its variance in the presence of high agreement,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Computing inter-rater reliability and its variance in the presence of high agreement,

Reference 29

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This paper cites EEG Abnormal Waveforms,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation EEG Abnormal Waveforms,

Reference 30

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This paper cites Time-Frequency Analysis of Scalp EEG With Hilbert- Huang Transform and Deep Learning,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Time-Frequency Analysis of Scalp EEG With Hilbert- Huang Transform and Deep Learning,

Reference 31

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This paper cites A Transferable Deep Learning Prognosis Model for Pre- dicting Stroke Patients’ Recovery in Different Rehabilitation Trainings,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation A Transferable Deep Learning Prognosis Model for Pre- dicting Stroke Patients’ Recovery in Different Rehabilitation Trainings,

Reference 32

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This paper cites Deep Learning With Convolutional Neural Net- works for Motor Brain-Computer Interfaces Based on Stereo- Electroencephalography (SEEG),.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Deep Learning With Convolutional Neural Net- works for Motor Brain-Computer Interfaces Based on Stereo- Electroencephalography (SEEG),

Reference 33

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A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Enhancing Performance of Convolu- tional Neural Network-Based Epileptic Electroencephalogram Diagnosis by Asymmetric Stochastic Resonance,

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This paper cites Large AI Models in Health Informatics: Appli- cations, Challenges, and the Future,.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Large AI Models in Health Informatics: Appli- cations, Challenges, and the Future,

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A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Automated Identification of Abnormal EEGs,

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Pith citing papers

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