Paper Citation Record · LEDGER

Data Normalization Strategies for EEG Deep Learning

As of 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2506.22455.

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

pith.paper-citation-record.v1
2506.22455 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:18.612155Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:31:06.096388Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-28T23:32:46.959978Z

Reference resolution

40 of 40 outbound references displayed

verified exact4
verified fuzzy9
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa9100f5-955c-4e41-b4e3-1dec0c1aa55b · outbound

This paper cites In contrast, recording-level normalization alone proved insufficient, and models trained without window-level normalization underperformed.

Data Normalization Strategies for EEG Deep Learning In contrast, recording-level normalization alone proved insufficient, and models trained without window-level normalization underperformed

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:19.866182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6c7a3b53-2c1e-4182-b40d-d9af83eaec98 · outbound

This paper cites an unresolved cited work.

Data Normalization Strategies for EEG Deep Learning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:19.849641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ae0425b1-61f6-4736-ab64-a8c3443364ff · outbound

This paper cites an unresolved cited work.

Data Normalization Strategies for EEG Deep Learning Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:19.831570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b29e22f1-7e75-47bf-b833-86673deab20d · outbound

This paper cites Overall these findings show that across tasks, better results were obtained when normalization is done on the window level.

Data Normalization Strategies for EEG Deep Learning Overall these findings show that across tasks, better results were obtained when normalization is done on the window level

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:19.814458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f437aba9-9c9e-4e98-948a-143cd6d9ff8f · outbound

This paper cites Deep learning -based electroencephalography analysis: a systematic review,.

Data Normalization Strategies for EEG Deep Learning Deep learning -based electroencephalography analysis: a systematic review,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:17.321932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6015c4d5-b2f8-4fbd-afb2-df1bfb69cb3e · outbound

This paper cites Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features,.

Data Normalization Strategies for EEG Deep Learning Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:17.365000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60e82a3d-2f02-46ca-bed3-6cfdfaf90753 · outbound

This paper cites How EEG preprocessing shapes decoding performance.

Data Normalization Strategies for EEG Deep Learning How EEG preprocessing shapes decoding performance

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:41:18.939323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d24d9614-474b-4f41-a0fc-1127215021fd · outbound

This paper cites Robust learning from corrupted EEG with dynamic spatial filtering.

Data Normalization Strategies for EEG Deep Learning Robust learning from corrupted EEG with dynamic spatial filtering

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:41:18.914887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 03155a02-7e6b-426e-9912-e135eb27a371 · outbound

This paper cites Scaling laws for decoding images from brain activity.

Data Normalization Strategies for EEG Deep Learning Scaling laws for decoding images from brain activity

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:17.650549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f27eda49-5219-4c04-a913-481ae36dfb4c · outbound

This paper cites Batch normalization: accelerating deep network training by reducing internal covariate shift,.

Data Normalization Strategies for EEG Deep Learning Batch normalization: accelerating deep network training by reducing internal covariate shift,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:19.795673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dc50fae8-ea30-4538-90eb-cc3ad8a0d0a0 · outbound

This paper cites Layer Normalization.

Data Normalization Strategies for EEG Deep Learning Layer Normalization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:17.844688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f204605-a656-4cfe-bc98-25c318d5a2f2 · outbound

This paper cites The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments,.

Data Normalization Strategies for EEG Deep Learning The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:17.872710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93c2afcb-b08a-42b0-aab0-342b55e723b6 · outbound

This paper cites Capturing the nature of events and event context using hierarchical event descriptors (HED),.

Data Normalization Strategies for EEG Deep Learning Capturing the nature of events and event context using hierarchical event descriptors (HED),

Reference 13

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T00:41:19.547851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation be432594-2b7b-4818-a811-b23c249fdaf2 · outbound

This paper cites The OpenNeuro resource for sharing of neuroscience data,.

Data Normalization Strategies for EEG Deep Learning The OpenNeuro resource for sharing of neuroscience data,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:17.893292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 020a734e-a15d-4c89-be6b-ff6e1a1abfba · outbound

This paper cites NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data,.

Data Normalization Strategies for EEG Deep Learning NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data,

Reference 15

Resolution: verified exact; doi, observed 2026-08-07T00:41:18.839909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66d59cfb-9543-42db-abed-17ae5cd2f411 · outbound

This paper cites A Cookbook of Self-Supervised Learning.

Data Normalization Strategies for EEG Deep Learning A Cookbook of Self-Supervised Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.033114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b07f4d2-5b71-4b3f-8b88-a727634d9b61 · outbound

This paper cites Self-supervised Learning for Electroencephalogram: A Systematic Survey.

Data Normalization Strategies for EEG Deep Learning Self-supervised Learning for Electroencephalogram: A Systematic Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.092606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b883c37-ff94-4fad-a037-09c600cecb1b · outbound

This paper cites BENDR: Using Transformers and a Contrastive Self-Supervised Learning Task to Learn From Massive Amounts of EEG Data,.

Data Normalization Strategies for EEG Deep Learning BENDR: Using Transformers and a Contrastive Self-Supervised Learning Task to Learn From Massive Amounts of EEG Data,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:19.778301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2f773d5a-976c-40ee-a5e8-67da99e4ef97 · outbound

This paper cites Contrastive Learning of Subject -Invariant EEG Representations for Cross - Subject Emotion Recognition,.

Data Normalization Strategies for EEG Deep Learning Contrastive Learning of Subject -Invariant EEG Representations for Cross - Subject Emotion Recognition,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.336044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0e9be31-f584-468c-892a-b63dfe1ff914 · outbound

This paper cites Contrastive Representation Learning for Electroencephalogram Classification,.

Data Normalization Strategies for EEG Deep Learning Contrastive Representation Learning for Electroencephalogram Classification,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:19.761625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e31fb0ac-c2bc-404f-aa01-415e34d7ad7f · outbound

This paper cites Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI.

Data Normalization Strategies for EEG Deep Learning Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.472771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 249a18d7-e5a4-4727-9237-76b4205a10db · outbound

This paper cites CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding,.

Data Normalization Strategies for EEG Deep Learning CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:19.744979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 52b63cef-04b5-4019-b976-ce2deba30b15 · outbound

This paper cites A reusable benchmark of brain-age prediction from M/EEG resting-state signals,.

Data Normalization Strategies for EEG Deep Learning A reusable benchmark of brain-age prediction from M/EEG resting-state signals,

Reference 23

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T00:41:19.331797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 064bb5ee-5904-456c-a1b4-9809cfd32bfb · outbound

This paper cites An open resource for transdiagnostic research in pediatric mental health and learning disorders,.

Data Normalization Strategies for EEG Deep Learning An open resource for transdiagnostic research in pediatric mental health and learning disorders,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.527620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad0c33c9-6358-44e0-9024-1a258dce580f · outbound

This paper cites HBN-EEG: The FAIR implementation of the Healthy Brain Network (HBN) electroencephalography dataset,.

Data Normalization Strategies for EEG Deep Learning HBN-EEG: The FAIR implementation of the Healthy Brain Network (HBN) electroencephalography dataset,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.532272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e40efb82-dea1-4362-9fdb-726ae21060f6 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Data Normalization Strategies for EEG Deep Learning Representation Learning with Contrastive Predictive Coding

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.536425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6bba3c2-b5a1-45bb-8796-dcf21db50f1d · outbound

This paper cites EEG is better left alone,.

Data Normalization Strategies for EEG Deep Learning EEG is better left alone,

Reference 27

Resolution: verified exact; doi, observed 2026-08-07T00:41:18.755080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5c40f02a-8efe-41f9-86e5-a9a2ebe879ce · outbound

This paper cites Falcon and The PyTorch Lightning team, PyTorch Lightning.

Data Normalization Strategies for EEG Deep Learning Falcon and The PyTorch Lightning team, PyTorch Lightning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.572264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b914931-b0fa-441a-b7c8-0d76ad8ce194 · outbound

This paper cites Deep learning with convolutional neural networks for EEG decoding and visualization,.

Data Normalization Strategies for EEG Deep Learning Deep learning with convolutional neural networks for EEG decoding and visualization,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.550885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e236a37-1780-420d-89e6-ca98af67f04c · outbound

This paper cites Attention is All you Need,.

Data Normalization Strategies for EEG Deep Learning Attention is All you Need,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:19.708865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0ea93478-ce4b-4c6e-aad8-fec971cd8e7d · outbound

This paper cites Long Short -Term Memory,.

Data Normalization Strategies for EEG Deep Learning Long Short -Term Memory,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.561465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d1f0494-16cc-4045-9213-651268f45cec · outbound

This paper cites EEG -SSL: A Framework for Self -Supervised Learning on EEG,.

Data Normalization Strategies for EEG Deep Learning EEG -SSL: A Framework for Self -Supervised Learning on EEG,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.567126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8dbca82-5add-47ef-8705-c8fa6fb42d99 · outbound

This paper cites Auto-Encoding Variational Bayes.

Data Normalization Strategies for EEG Deep Learning Auto-Encoding Variational Bayes

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.600839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ce9969e-f94e-44e6-a536-cc3f16a6d5ff · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Data Normalization Strategies for EEG Deep Learning PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.577415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42a847ae-3b7f-47cd-ac4f-8bdeb8bbeed1 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Data Normalization Strategies for EEG Deep Learning Adam: A Method for Stochastic Optimization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.582670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7327ea0-058a-45b3-881e-24de49ac81f7 · outbound

This paper cites Uncovering the structure of clinical EEG signals with self -supervised learning,.

Data Normalization Strategies for EEG Deep Learning Uncovering the structure of clinical EEG signals with self -supervised learning,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.589389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e6b2fdf-c93d-4dfd-8a3a-959e38627ce8 · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

Data Normalization Strategies for EEG Deep Learning A Simple Framework for Contrastive Learning of Visual Representations

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:18.595098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09a09132-cdda-47e7-bd1e-0608bbb2ea94 · outbound

This paper cites Independent Component Analysis of Electroencephalographic Data,.

Data Normalization Strategies for EEG Deep Learning Independent Component Analysis of Electroencephalographic Data,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:19.688738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3169c450-74b1-4abf-8a89-6342d3d5066c · outbound

This paper cites Evaluation of Artifact Subspace Reconstruction for Automatic EEG Artifact Removal,.

Data Normalization Strategies for EEG Deep Learning Evaluation of Artifact Subspace Reconstruction for Automatic EEG Artifact Removal,

Reference 40

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T00:41:19.140444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3098324b-9501-4625-95d8-009aab84be8a · outbound

This paper cites 16, 2025.

Data Normalization Strategies for EEG Deep Learning 16, 2025

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:19.728242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 590d3f66-103e-4b2f-aa70-fe7d0317411a · inbound

Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection cites this paper.

Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection Data Normalization Strategies for EEG Deep Learning

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:32:46.961475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.