Paper Citation Record · LEDGER

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data

As of 20 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2505.23042.

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

pith.paper-citation-record.v1
2505.23042 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:59:03.288041Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

16 of 16 outbound references displayed

verified exact1
verified fuzzy7
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86ce24b8-84ae-4ed0-b70f-a53588be81be · outbound

This paper cites Foun- dation models for generalist medical artificial intelligence.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data Foun- dation models for generalist medical artificial intelligence

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:05.353616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2d1104c3-16d8-4302-afd1-ae292b3363be · outbound

This paper cites Florence: A New Foundation Model for Computer Vision.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data Florence: A New Foundation Model for Computer Vision

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:01.557082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 248ffbdb-ec59-409b-a645-66de086f1ed4 · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:01.715688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eae511ca-f382-4e1a-a062-9f6a74cd5f39 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data On the Opportunities and Risks of Foundation Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:01.836626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc3ee6b6-692e-418c-8ffa-a3b258cddb03 · outbound

This paper cites Brant-2: Foundation model for brain signals.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data Brant-2: Foundation model for brain signals

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:05.151214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation df546711-e97b-4f6d-b640-63cc988bda5e · outbound

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

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:02.143856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1e90509-66a9-446b-a6f6-158815a0716e · outbound

This paper cites Neuro-GPT: Towards A Foundation Model for EEG.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data Neuro-GPT: Towards A Foundation Model for EEG

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:02.280621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b050db94-47fd-4fb8-9e31-682243d0d250 · outbound

This paper cites EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:02.397328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b64b1cc-3a1b-4ef4-b7c2-70c5259f4580 · outbound

This paper cites EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:02.497562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbb90c2e-941c-4ec7-881d-ecc273c1ce46 · outbound

This paper cites The temple university hospital eeg data corpus.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data The temple university hospital eeg data corpus

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:02.632294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f79b5eb1-6555-45ce-adc0-b8324cec67a5 · outbound

This paper cites Evaluation of artifact subspace reconstruction for automatic eeg artifact removal.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data Evaluation of artifact subspace reconstruction for automatic eeg artifact removal

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:04.942244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 419e0a6e-7cd0-4cd0-a163-471ac160fe8e · outbound

This paper cites Independent component analysis of electroencephalographic data.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data Independent component analysis of electroencephalographic data

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:04.666192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e73c806e-f264-4d1f-85b6-f76a9cdf3f17 · outbound

This paper cites Online Mental Stress Detection Using Frontal-channel EEG Recordings in a Classroom Scenario.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data Online Mental Stress Detection Using Frontal-channel EEG Recordings in a Classroom Scenario

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:59:03.502344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8cc07338-7c84-4109-b83b-c2f99a2cc7b9 · outbound

This paper cites Advancing the neurophysiological understanding of stress, a study based on recorded Electroencephalography (EEG) data in real-world classroom.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data Advancing the neurophysiological understanding of stress, a study based on recorded Electroencephalography (EEG) data in real-world classroom

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:04.425266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5433fcda-5caa-430e-8f67-99ab44793287 · outbound

This paper cites Classification of perceived mental stress using a commercially available eeg headband.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data Classification of perceived mental stress using a commercially available eeg headband

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:04.198829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5d84301d-e110-47ce-9fe4-d98879ad1afd · outbound

This paper cites Eeg based stress monitoring.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data Eeg based stress monitoring

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:03.942495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.