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Paper Citation Record · LEDGER

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces

As of 20 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 4 inbound Pith citation observations for arXiv:2605.14698.

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

pith.paper-citation-record.v1
2605.14698 v1

Coverage vector

measured 100 of 104 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T21:09:51.002853Z

measured 104 of 104 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:26:13.895819Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T00:26:14.682524Z

Reference resolution

100 of 104 outbound references displayed

  • verified exact17
  • verified fuzzy70
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d9235b6-cd04-42f0-9c84-3fcd24b7ee25 · outbound

This paper cites Performance variation in motor imagery brain–computer interface: A brief review.Journal of Neuroscience Methods, 243:103–110, 2015.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Performance variation in motor imagery brain–computer interface: A brief review.Journal of Neuroscience Methods, 243:103–110, 2015

Reference 1

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verified fuzzy
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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.

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Observation 2afb990e-3a26-4b1a-9c78-632ad2f3bffb · outbound

This paper cites Haaglanden Medisch Centrum sleep staging database.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Haaglanden Medisch Centrum sleep staging database

Reference 2

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verified fuzzy
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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:c8880d066ae620881f783efa6688318fe702afca2fbc6963797d93680f2a748d

Observation b18a1248-0a61-4478-bbee-cf9a4c96e9db · outbound

This paper cites an unresolved cited work.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Unresolved cited work

Reference 3

Resolution
unresolved
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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:d8b690166b012b0a46ba29d5cd81ceb1d55b2f6a1e3484b9d32ee72b486b2f92

Observation 76f21449-c2cd-4bac-a52c-a3ca163751bb · outbound

This paper cites Chronos: Learning the Language of Time Series.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Chronos: Learning the Language of Time Series

Reference 4

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verified exact
local_arxiv, observed 2026-06-30T21:15:04.432232Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:6243e096dfdc9da745c791a363637c93768761d41f7934765fbbfb07d66718d8

Observation 0930de19-d63b-4a86-ab79-8988e278bce6 · outbound

This paper cites Ilae classification of the epilepsies: the 2017 revision and update.Epilepsy and paroxysmal conditions, 9(1):6–25, 2017.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Ilae classification of the epilepsies: the 2017 revision and update.Epilepsy and paroxysmal conditions, 9(1):6–25, 2017

Reference 5

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verified fuzzy
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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:76a1ba067d366d8b8832882cb9daf10dd3f4d2dc41cb6a71764a33d7739b69c0

Observation a88b55ad-b0eb-4cd8-8c46-9b07ce26332f · outbound

This paper cites Latent alignment in deep learning models for EEG decoding.Journal of neural engineering, 22(1):016047, 2025.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Latent alignment in deep learning models for EEG decoding.Journal of neural engineering, 22(1):016047, 2025

Reference 6

Resolution
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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:4e79277069cba2a0bd1bdb1dc45c937c5ff7ff430720fc683b07842f9f87b712

Observation fcb9f467-d252-49f5-be21-7d0cb7514e67 · outbound

This paper cites Narcolepsy.Journal of Sleep Research, 31(4):e13631, August 2022.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Narcolepsy.Journal of Sleep Research, 31(4):e13631, August 2022

Reference 7

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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:566181d5f471a5a1f234b257f9ce416cbd7a7c2cac11d5dcafc5ba527c0d3a44

Observation b2d778af-ecd5-4761-bae2-033cb8597d16 · outbound

This paper cites NeuroRVQ: Multi-Scale Biosignal Tokenization for Generative Foundation Models.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces NeuroRVQ: Multi-Scale Biosignal Tokenization for Generative Foundation Models

Reference 8

Resolution
verified exact
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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:b590b7b7c1cd7f7716d3c8c33c16b8a5ed092088c20e584e7adce3da468fdda9

Observation c96ea9ab-1d46-4967-afd7-de045b67d757 · outbound

This paper cites Seizeit2: Wearable dataset of patients with focal epilepsy.Scientific Data, 12(1):1228, 2025.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Seizeit2: Wearable dataset of patients with focal epilepsy.Scientific Data, 12(1):1228, 2025

Reference 9

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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:65b7a91adabce5646d6f596691cf281079f5942066b475850ecf8ac3f432e2f0

Observation 0e2c6f76-f950-4acb-be03-971e863f4163 · outbound

This paper cites Towards automated seizure detection with wearable eeg–grand challenge.IEEE Open Journal of Signal Processing, 5:717–724, 2024.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Towards automated seizure detection with wearable eeg–grand challenge.IEEE Open Journal of Signal Processing, 5:717–724, 2024

Reference 10

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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:e11ad2fc7970c0c4861af527c40616835bf1f3ab7b866d6966da14f5bbbca11e

Observation 3883d306-50a9-400d-9baf-dd29ef0c17a7 · outbound

This paper cites The power of ecg in semi-automated seizure detection in addition to two-channel behind-the-ear eeg.Bioengineering, 10(4), 2023.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces The power of ecg in semi-automated seizure detection in addition to two-channel behind-the-ear eeg.Bioengineering, 10(4), 2023

Reference 11

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verified fuzzy
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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:c69ded7385008b4df4f87974ed21b0e737f3e15c35b75107ac70b12d758f83e7

Observation b07aa163-c9b6-4909-a45d-7f51395bb9b4 · outbound

This paper cites Associations between sleep architecture and sleep-disordered breathing and cognition in older community-dwelling men: the osteoporotic fractures in men sleep study.J.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Associations between sleep architecture and sleep-disordered breathing and cognition in older community-dwelling men: the osteoporotic fractures in men sleep study.J

Reference 12

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:472fe7f070636fa5e77aad6e792ce1de6560a5690137b1eb538ef0855e73c892

Observation 0d814597-c2b9-47ca-b8d6-ace45fc4547c · outbound

This paper cites Automated detection of cognitive impairment in clinical practice.J.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Automated detection of cognitive impairment in clinical practice.J

Reference 13

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verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.382424Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:22782cf4180599f6c50174f4cfeb53529d00df9bc214e4e7fcb63d2b77890a3b

Observation 7b66f509-4109-4bc8-846d-524a69829fc8 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Emerging properties in self-supervised vision transformers

Reference 14

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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:49c319840994af1546d87445b439f936f15b785893f82656f4c0042a02e2f357

Observation 046ac63c-159b-4f8e-9127-70751c31e934 · outbound

This paper cites Racial/ethnic differences in sleep disturbances: The Multi-Ethnic study of atherosclerosis (MESA).Sleep, 38(6):877–888, June 2015.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Racial/ethnic differences in sleep disturbances: The Multi-Ethnic study of atherosclerosis (MESA).Sleep, 38(6):877–888, June 2015

Reference 15

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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:26902db504865ddde8d414b77f525e891d71f3df4730963bd1844c79260f25a2

Observation 572ebccf-8f96-4ac8-bad9-f5a2c104f955 · outbound

This paper cites Sleep stability and transitions in patients with idiopathic REM sleep behavior disorder and patients with Parkinson’s disease.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Sleep stability and transitions in patients with idiopathic REM sleep behavior disorder and patients with Parkinson’s disease

Reference 16

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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:20220cfcca15bb5ec07b3bc31209da2d69302b55093ecddf7a3491bfd70fb4ac

Observation 935c1889-a36f-489f-a361-7f11cef965f5 · outbound

This paper cites an unresolved cited work.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Unresolved cited work

Reference 17

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unresolved
raw_fallback, observed 2026-07-07T17:53:58.424390Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:d7b04d3b9c820ee014843ecc3c77f8cf5707b1ec64248e1753aa00e6019decbb

Observation b36c13ae-9790-4c22-b46e-07e9c0cfe69f · outbound

This paper cites Neuro-gpt: Towards a foundation model for eeg.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Neuro-gpt: Towards a foundation model for eeg

Reference 18

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verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.429198Z

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.

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Observation bf5a6195-87d3-42ef-854b-ade8a40c2b54 · outbound

This paper cites an unresolved cited work.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Unresolved cited work

Reference 19

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unresolved
raw_fallback, observed 2026-07-07T17:53:58.453697Z

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.

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Observation 8f42854a-8937-4850-8306-e21e76eaba4e · outbound

This paper cites Temple University, 2017.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Temple University, 2017

Reference 20

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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:18f521ff3e2f8cddfa53fc847ce81c96f3499abf2cc52b711809f0b90e41846b

Observation 1da89049-53c6-4949-9265-d3a65d2e3a0a · outbound

This paper cites Siena Scalp EEG Database.PhysioNet, August 2020.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Siena Scalp EEG Database.PhysioNet, August 2020

Reference 21

Resolution
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raw_fallback, observed 2026-07-07T17:53:58.405094Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:777446f8e62eb732311f9ef72ef7b69788df9e5e37b78cc0885af03e53ba7c04

Observation a3d9027c-b85b-4dad-b0e8-4a0fcb6a3f8a · outbound

This paper cites Engemann, Apolline Mellot, Richard Höchenberger, Hubert Banville, David Sabbagh, Lukas Gemein, Tonio Ball, and Alexandre Gramfort.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Engemann, Apolline Mellot, Richard Höchenberger, Hubert Banville, David Sabbagh, Lukas Gemein, Tonio Ball, and Alexandre Gramfort

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.405502Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:5a3c633637383dcfec924a8437a7983a76afbbc9c68aca2c67e4b4b3d55b45cd

Observation a5d99e60-65e6-4f1c-9f14-33fa5b63a523 · outbound

This paper cites Autocali- bration and recurrent adaptation: Towards a plug and play online erd-bci.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 20(3):313–319, 2012.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Autocali- bration and recurrent adaptation: Towards a plug and play online erd-bci.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 20(3):313–319, 2012

Reference 23

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verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.346489Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:a636247724dd9a41c620e1e986bedff55208a980102135e0576c6272714b9001

Observation 4f116a23-9268-4532-9d07-e48874b8d336 · outbound

This paper cites MOMENT: A Family of Open Time-series Foundation Models.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces MOMENT: A Family of Open Time-series Foundation Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:15:04.410200Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:3412ed3ca55c2d0922dd44057782b7c364988aaf95afbcd452011673ea9b25fa

Observation bd220084-24bf-4b93-8f7b-598ba5712bbc · outbound

This paper cites Neural network transfer learning with fast calibration for mental imagery decoding.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Neural network transfer learning with fast calibration for mental imagery decoding

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.467990Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:767e03032594eb114709f5783ef4b120d7e552de51a48efeedf964eca94ad1ab

Observation dc5d4d68-69c9-4146-b0bb-29de3abad3d0 · outbound

This paper cites During, and Valentin Thorey.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces During, and Valentin Thorey

Reference 26

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:344d73073524d0c3f6dd0d78e2f3e9f57e582b7dc2aefe21e343cb0c5f728789

Observation 0ca8a692-d872-43b2-b664-fd2a2f5486e4 · outbound

This paper cites CHB-MIT Scalp EEG Database.PhysioNet, June 2010.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces CHB-MIT Scalp EEG Database.PhysioNet, June 2010

Reference 27

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verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.491137Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:774bd3f501b6473d6da6de87127b95889a4d3dc11c85bc012fcc716291cf0630

Observation 674cbece-2432-4da3-aca3-cb996e3a326c · outbound

This paper cites an unresolved cited work.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-07-07T17:53:58.415823Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:04a4f530d88e5e5c23c28a8edf34f9bfb1ea1361455c671e280ee187a21456f9

Observation 2d8c4fa5-3855-4590-84b5-a645dc32817a · outbound

This paper cites An efficient p300-based brain–computer interface for disabled subjects.Journal of Neuroscience methods, 167(1):115–125, 2008.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces An efficient p300-based brain–computer interface for disabled subjects.Journal of Neuroscience methods, 167(1):115–125, 2008

Reference 29

Resolution
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raw_fallback, observed 2026-07-07T17:53:58.386560Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:e3e87ca69072a0bdcb9435cf1dceb030625db74aa05504438f99ba2a4285fc75

Observation 0f064f84-67b5-4456-a53c-394902e159d5 · outbound

This paper cites NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:15:04.413582Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:5b55ec741e139cbeca877cdf1fe01262b2cc049e036da0a1ed3392197411bffb

Observation 90edf806-94d0-405c-9ed2-d99a2b227199 · outbound

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

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:15:04.416544Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:0f753485fa0c6bd352465a3d3382e1db61dbd4c194325470ca1efba070d0e02d

Observation 3a19ac77-ded2-44b5-94f5-b02712b31f30 · outbound

This paper cites Jirsaraie, Alexander J.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Jirsaraie, Alexander J

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.426772Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:23d8b150846d2d23e1c0bc901c199f8cb6c67765662a1d1422337c871d30b974

Observation ec601d85-8590-4c68-8f7f-4d9927424c71 · outbound

This paper cites Erp core: An open resource for human event-related potential research.NeuroImage, 225:117465, 2021.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Erp core: An open resource for human event-related potential research.NeuroImage, 225:117465, 2021

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.369785Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:09669a7948720d7a0afacd9df85b063e6e860aca30be6d0f014dcd1104b883df

Observation ebffd97e-849e-4e63-8013-fd6ecada9c44 · outbound

This paper cites EEG- Bench: A Benchmark for EEG Foundation Models in Clinical Applications, 2025.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces EEG- Bench: A Benchmark for EEG Foundation Models in Clinical Applications, 2025

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.416463Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:8d9a7579165603520e013e6883c1d88bb549d5710a24ebb0ddd156a1813ddd83

Observation 7ad7e1c2-691f-4634-a2d5-f10a03dc217b · outbound

This paper cites an unresolved cited work.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-07-07T17:53:58.450389Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:ea6b03de6783ce059120f33ea47eda10591360f8c45afb77e45ae0e01c71d28b

Observation 73c4acd6-6019-4b08-ad3d-1c1b514eb2be · outbound

This paper cites The sleep-EDF database [expanded], 2018.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces The sleep-EDF database [expanded], 2018

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.396082Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:664ef9016b37ab1c1e9a776eeb4d5cd85a121e8c539a4d4408e854c03ab01393

Observation b120ac3b-443f-4094-a6eb-d009742c0387 · outbound

This paper cites Isruc-sleep: A comprehensive public dataset for sleep researchers.Computer Methods and Programs in Biomedicine, 124, 11 2015.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Isruc-sleep: A comprehensive public dataset for sleep researchers.Computer Methods and Programs in Biomedicine, 124, 11 2015

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.460712Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:ed793375f56e443aac5e0392dabc4ca6f232bf0aae9cbb268a7279a2b07d6d22

Observation a4857a98-f0d7-4f66-8f04-13b374cd095c · outbound

This paper cites The nmt scalp eeg dataset: An open-source annotated dataset of healthy and pathological eeg recordings for predictive modeling.Frontiers in neuroscience, 15:755817, 2022.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces The nmt scalp eeg dataset: An open-source annotated dataset of healthy and pathological eeg recordings for predictive modeling.Frontiers in neuroscience, 15:755817, 2022

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.458806Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:8191162a8410d64dcdab3f6b3602466ed2f868d4217287a2250df16315607fa5

Observation 8914637a-f2f6-40b2-acaf-487991bb05ce · outbound

This paper cites A 40-class ssvep speller dataset: Beta range stimulation for low-fatigue bci applications.Scientific Data, 12(1):1751, 2025.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces A 40-class ssvep speller dataset: Beta range stimulation for low-fatigue bci applications.Scientific Data, 12(1):1751, 2025

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.435409Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:c44d1ad9218030b8c8128567355384f162a95241cd4580a9d4ed10d4f43b6425

Observation 46cc73d2-d922-4cd8-8cef-bfc0a6bf724f · outbound

This paper cites The epilepsiae database: An extensive electroencephalography database of epilepsy patients.Epilepsia, 53(9):1669–1676, 2012.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces The epilepsiae database: An extensive electroencephalography database of epilepsy patients.Epilepsia, 53(9):1669–1676, 2012

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.407210Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:b8ef0a4480cbcab25e24c7e1d1b94811c1626920b7469ccb89ef64b906f81d99

Observation bbd5f9a8-09a9-4013-a234-0890661b57f8 · outbound

This paper cites Core- sleep: A multimodal fusion framework for time series robust to imperfect modalities.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32:840–849, 2024.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Core- sleep: A multimodal fusion framework for time series robust to imperfect modalities.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32:840–849, 2024

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.481482Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:ef7bbe1d1a243c217e034e3ccd0a32d65124c8dbf276c38bfc30db2819eb224e

Observation 67c58c41-a176-44d8-8af8-02ec6c2db6d8 · outbound

This paper cites PhD thesis, GIPSA-lab, 2019.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces PhD thesis, GIPSA-lab, 2019

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.334621Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:d07b67d5f78a7d74b1d9d098c87abfa373523ab162f8ebbc2006487163129d92

Observation 6987f0c3-0c93-44d6-8147-72ffd9809f89 · outbound

This paper cites Eeg foundation models: a critical review of current progress and future directions.Journal of neural engineering, 23(2):021001, 2026.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Eeg foundation models: a critical review of current progress and future directions.Journal of neural engineering, 23(2):021001, 2026

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.417972Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:ab9e95ea3c4a7f97bf9df99a363e43c7f5fcf1f3dc900b402bab464f4c2e6ee4

Observation eb9edf32-ed09-4b51-9128-f9d8bf3a89c1 · outbound

This paper cites Eegnet: a compact convolutional neural network for eeg-based brain–computer interfaces.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Eegnet: a compact convolutional neural network for eeg-based brain–computer interfaces

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.481164Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:d0e4194685ae34a52cf8fd38516b35a57868e4a150e23490c7e248a54d55d7d4

Observation fb37c573-bbdf-42bf-8205-5fdc32f601e3 · outbound

This paper cites SleePyCo: Automatic sleep scoring with feature pyramid and contrastive learning.Expert Systems with Applications, 240:122551, 2024.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces SleePyCo: Automatic sleep scoring with feature pyramid and contrastive learning.Expert Systems with Applications, 240:122551, 2024

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.386235Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:f870130664fd417308d302d6052cd9517e98eeed0683b416015a6bfc2926e1cc

Observation fb722ea8-97b9-40fd-a4a8-811268f3c2d3 · outbound

This paper cites Interrater reliability of sleep stage scoring: a meta-analysis.Journal of Clinical Sleep Medicine, 18(1):193–202, January 2022.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Interrater reliability of sleep stage scoring: a meta-analysis.Journal of Clinical Sleep Medicine, 18(1):193–202, January 2022

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.474414Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:63d60d0307eb84a14a067ee93bbf2ebae07a7a1527a5accff91624fcaa258c82

Observation 0aa450a4-b71c-4997-b343-0556af2fb2d8 · outbound

This paper cites an unresolved cited work.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-07-07T17:53:58.419670Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:61f1ed1b7858e409ca691924acf2f52bde690c5982d477144d68a7ad3d3fd037

Observation 6320ea97-662b-433b-b737-13013a68c5d2 · outbound

This paper cites EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-08-04T02:39:59.829087Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:61b1623fad0ecec17ccdf0b0751ee2fe7774ba05f67069541bd31b13b5433e6f

Observation 5b07bed4-8241-4d9c-807e-af29e01fb897 · outbound

This paper cites MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-08-06T01:14:40.380349Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:2c2299963db33185f004781d9fe2d5d430be496b74179da2b60b3f9f83b5b9fe

Observation 99659422-dbc2-4a22-a41a-fd32f402ae31 · outbound

This paper cites An eeg motor imagery dataset for brain computer interface in acute stroke patients.Scientific Data, 11(1):131, 2024.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces An eeg motor imagery dataset for brain computer interface in acute stroke patients.Scientific Data, 11(1):131, 2024

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.442174Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:1579ca70a97fd0b04f8b08efb218b7db261f42ab40e341b3bad512210bc002a4

Observation e0d21dd4-1322-48da-9a3f-fd31c9ec4a64 · outbound

This paper cites Event-related potentials.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Event-related potentials

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.469274Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:3510f997008878723907c76a8847e861a6bfad50b6a162598504eead6e782d95

Observation 78b77c6c-6cb2-45bc-8c9a-c07a5299eb0c · outbound

This paper cites Shama, Jiasen Jing, and Archana Venkataraman.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Shama, Jiasen Jing, and Archana Venkataraman

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.483081Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:b3a09d41a248bca32e8aaf720abf7c03ef4b8b170f79027d35cfa2a894ac3c63

Observation 00d62df2-a964-4d17-a12e-2b970159d2c7 · outbound

This paper cites an unresolved cited work.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-07-07T17:53:58.350271Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:6967272177baf4c513908398c6506bc462d11cd83250f534e1a9633bb6bb7b71

Observation 524c7921-0399-4c14-a0c5-0e52ff5786cc · outbound

This paper cites A comparison study of canoni- cal correlation analysis based methods for detecting steady-state visual evoked potentials.PloS one, 10(10):e0140703, 2015.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces A comparison study of canoni- cal correlation analysis based methods for detecting steady-state visual evoked potentials.PloS one, 10(10):e0140703, 2015

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.477847Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:a5df803dbbda7064bc3903741219d89a5b3fd3d12cd8c209b7e19afb13ef8c10

Observation de4e97cb-7679-4bf6-8e57-cd5783da4baf · outbound

This paper cites Epileptic EEG Dataset, March 2021.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Epileptic EEG Dataset, March 2021

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.484863Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:5927601157f8150c71aa67902254763a2d2e6b9f86a07e64a9ad3dc0651f8bda

Observation f409d3f9-9ec4-49bf-bec1-52b35bcd44fd · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:15:04.415478Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:b08c4c1dafb6fd322fed9b63ebe91a5eb390d6f53724d63421a4b2011604673b

Observation 77a5b921-c47d-4fc2-9051-b1fbfcbdf70b · outbound

This paper cites The temple university hospital eeg data corpus.Frontiers in neuroscience, 10:196.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces The temple university hospital eeg data corpus.Frontiers in neuroscience, 10:196

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.396487Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:17863673e131091ab376624986f11382b6fcb89c6ff7f3e56f8cec91b629b07d

Observation 3a27305a-f913-4ade-8bd8-fda18114260c · outbound

This paper cites Montreal archive of sleep studies: an open-access resource for instrument benchmarking and exploratory research.Journal of Sleep Research, 23(6):628–635, 2014.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Montreal archive of sleep studies: an open-access resource for instrument benchmarking and exploratory research.Journal of Sleep Research, 23(6):628–635, 2014

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.430481Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:b7b240bb024b5f7f61972f692ef0c536962ce4941702d1c31a3d4fbb1e05c397

Observation 4e5e707d-d283-4ebe-80e7-cf4038c4bd10 · outbound

This paper cites REVE: A foundation model for EEG–adapting to any setup with large-scale pretraining on 25,000 subjects.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces REVE: A foundation model for EEG–adapting to any setup with large-scale pretraining on 25,000 subjects

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:15:04.403672Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:b433324fdac00e1d2db53f4b3f974b44bf66a03087ad01f0ed5097d8ba2c7a23

Observation fbc15eb0-7b3f-4dfe-bbee-dc38a86f2d57 · outbound

This paper cites DCSM sleep staging dataset, 2021.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces DCSM sleep staging dataset, 2021

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.479467Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:28b598bc492e32880609b59aba3f8ee68c74c2ffb0c951eb0d04150e9bcf5598

Observation e81ca0e8-3449-4292-b36f-4168dc6bb165 · outbound

This paper cites Chen, and Maarten De V os.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Chen, and Maarten De V os

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.423255Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:cea38c3ab0e2645492ccd7912e42391f2ccb5fa848e5ddf52ca028ad548e8c31

Observation e65116f2-1db1-4a19-8c98-d64b78686a2e · outbound

This paper cites SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:15:04.394036Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:3c902cba3ee8ed247b3174966ed134fb36d56e5725724a0190292be32e325ea3

Observation 6d4cdf2a-20a7-4c74-b888-8a89acc92d7b · outbound

This paper cites Experimenters’ influence on mental- imagery based brain-computer interface user training.International Journal of Human-Computer Studies, 149:102603, 2021.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Experimenters’ influence on mental- imagery based brain-computer interface user training.International Journal of Human-Computer Studies, 149:102603, 2021

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.457267Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:685c0aad8632aa788ca6d5829461019bf69587d1df6af3638dbd8931e26ef798

Observation 0008b47c-ab58-49c3-af9a-7eead1caf90b · outbound

This paper cites an unresolved cited work.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-07-07T17:53:58.452807Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:529c63e674ae4fb5437aaabbe45ca6a69ee4ca38fb043362492646b2c53a0429

Observation b4a19fbb-d2b9-4624-a43b-d85d1fac7a7d · outbound

This paper cites Learning transferable visual models from natural language supervision.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Learning transferable visual models from natural language supervision

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.412430Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:954f867d2c32e93f01a90ebeea1cb985076cada07eedaa7bc9a657c06e6addd5

Observation 1302e350-d974-4a82-a43b-12b78dc40f48 · outbound

This paper cites an unresolved cited work.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-07-07T17:53:58.465930Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:e69cfce835427332ce51b2f8e7e3cda2a18c133548015c802bf34bccb0074d3f

Observation a5efac7d-f719-4d28-86c3-2e34b9c12a15 · outbound

This paper cites The familial aggregation of obstructive sleep apnea.Am.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces The familial aggregation of obstructive sleep apnea.Am

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.451077Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:cca130c5b5605364680dc3363fbede03c32b27b8092a90521a3a6f5d36654c41

Observation ae9f46fe-a953-4520-85f3-c59ae9cc81ca · outbound

This paper cites Attention and p300-based bci performance in people with amyotrophic lateral sclerosis.Frontiers in human neuroscience, 7:732, 2013.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Attention and p300-based bci performance in people with amyotrophic lateral sclerosis.Frontiers in human neuroscience, 7:732, 2013

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.454889Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:8975822fa2a6123bd168040a7e3ba034aa7ec1f7b5df86dd950467c0ab5b9bf1

Observation 183dffa4-fbc5-48aa-a590-d9414ea8faea · outbound

This paper cites an unresolved cited work.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-07-07T17:53:58.456747Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:420dc5adc34fc6f747e7338ed7dd0334275ee056247a38156785f024b38f7941

Observation 97b2209e-8a1d-4493-a3c0-2a0762f5a9a0 · outbound

This paper cites an unresolved cited work.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-07-07T17:53:58.470876Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:de53b3e3fa7e932785ff5bbbfe581b75803d0a53a9f42ac309e7c1d3f4b17d8e

Observation 41ca19eb-2704-4b47-87c4-93dec85a08ad · outbound

This paper cites The temple university hospital seizure detection corpus.Frontiers in neuroinformatics, 12:83.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces The temple university hospital seizure detection corpus.Frontiers in neuroinformatics, 12:83

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.370121Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:6a8d2f3395919c59be31be3134ad9a1d86bcf6e178a1c3de1e0c31bf018b471f

Observation 15d26953-e605-4710-92f7-ed86d9e63ec1 · outbound

This paper cites Brain4FMs: A Benchmark of Foundation Models for Electrical Brain Signal, 2026.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Brain4FMs: A Benchmark of Foundation Models for Electrical Brain Signal, 2026

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.444472Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:c7be944a91758d338ab6409b499c66ae4489aac2e107589d2d3278a20383492f

Observation 5d802c0c-56d8-48c7-b623-87f00b530963 · outbound

This paper cites FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:15:04.419591Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:13d0ef1469c78a7321454edde1b6448f6cf7c728bf2255944fd91e2917e8c73b

Observation 6153cdb4-459c-4c6c-8719-029d6babe789 · outbound

This paper cites Open access dataset for eeg+ nirs single-trial classification.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(10):1735–1745, 2016.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Open access dataset for eeg+ nirs single-trial classification.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(10):1735–1745, 2016

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.476100Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:0caa7efcc138d131a62bdd3ee86993ac21de532bbc60014fcc1195e30edba9b7

Observation a4a58650-01e3-4d6f-ac1a-3f2ebfe8fb8a · outbound

This paper cites Mental workload estimation based on physiological features for pilot-UA V teaming applications.Frontiers in Human Neuroscience, 15:692878, 2021.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Mental workload estimation based on physiological features for pilot-UA V teaming applications.Frontiers in Human Neuroscience, 15:692878, 2021

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.365100Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:916c4c6d969a12689328ec44555d452193383390d8722a6380c72946a3b13731

Observation 6e0c697b-52dd-4b00-bbff-9d1becde47ce · outbound

This paper cites A dataset of neonatal eeg recordings with seizure annotations.Scientific data, 6(1):190039, 2019.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces A dataset of neonatal eeg recordings with seizure annotations.Scientific data, 6(1):190039, 2019

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.472836Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:35c6ae395c9e54b875c71100c19cae90f6bf285bb8ff536d9057463cc85ee6e7

Observation 4ce9202a-4716-40ac-9ab3-8cafd2b3ed5b · outbound

This paper cites Machine learning–based sleep electroencephalographic brain age index and dementia risk: An individual participant data meta-analysis.JAMA Network Open, 9(3):e261521, 2026.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Machine learning–based sleep electroencephalographic brain age index and dementia risk: An individual participant data meta-analysis.JAMA Network Open, 9(3):e261521, 2026

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.437000Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:973585a76c3c708206c1e61b847219a3a0b21a85822a66ec2cd720f889e286b0

Observation bfb9d139-24d3-4348-aae0-85dfa4882666 · outbound

This paper cites Brain age from the electroencephalogram of sleep.Neurobiology of aging, 74:112–120, 2019.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Brain age from the electroencephalogram of sleep.Neurobiology of aging, 74:112–120, 2019

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.469594Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:0a00ea9c4e5e1c43e8bd02df181dc5a8793b88ebeaef5b50bd2ca36417b6cd27

Observation f273bb7d-4161-4229-adaa-053ef857b167 · outbound

This paper cites Oliva, Balaji Goparaju, Diego Z.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Oliva, Balaji Goparaju, Diego Z

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.446716Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:b2f41ff9f9251416253a796444b2aaf2beca76bd14b128c5a5e0c202ada23af9

Observation 851e8a29-da19-43fe-a2ae-3ad920c701bd · outbound

This paper cites Chu, Can Zhang, Jonathan Rosand, Emmanuel Mignot, Sydney S.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Chu, Can Zhang, Jonathan Rosand, Emmanuel Mignot, Sydney S

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.443161Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:0964295b75725d1ed4137ccc8f28e6b4c9618ac1858c868c5e2b2ffbc71de1fc

Observation 64f07f18-ebb7-4d40-bb3b-7849316427c4 · outbound

This paper cites Review of the bci competition iv.Frontiers in neuroscience, 6:55, 2012.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Review of the bci competition iv.Frontiers in neuroscience, 6:55, 2012

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.439566Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:8affa24ef6ace94166f6f2be9ee104da5683fdaacd86d2dc6c8295be10bd2b6d

Observation afc0fcf2-4936-415a-bd29-44cdf91289af · outbound

This paper cites SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 82

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T21:15:04.409378Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:52d7ca9c110e4e1b44bc68f0fcfea091d72a25cae13082ef612df21a94735659

Observation e82db3bb-8b30-442d-bfb0-64bf1887b8f7 · outbound

This paper cites Dreem open datasets, 2025.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Dreem open datasets, 2025

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.482876Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:25c24c525e2e5a603814920fddccb571fe0d1ab6bd9781c42b1931414c846943

Observation ea0d52e5-38d6-4fff-a669-2275b9f4d7a8 · outbound

This paper cites Troester, Stuart F.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Troester, Stuart F

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.441207Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:5af9f7c5deda75a132a9ffa6bab4805bc79a7984426448a38b13dc467d9be56e

Observation b1e8b9f9-2b92-48ec-babd-ff0cd043aaf2 · outbound

This paper cites Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:15:04.423997Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:aa1ab36f001b93a7ef28e7f0ba2bbdcc9c0c19cdcf7f19840bc2d1a550c7880e

Observation ced8c71c-0e2c-4b61-976d-f561306d3bb5 · outbound

This paper cites Eegpt: Pretrained transformer for universal and reliable representation of eeg signals.Advances in Neural Information Processing Systems, 37:39249–39280.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Eegpt: Pretrained transformer for universal and reliable representation of eeg signals.Advances in Neural Information Processing Systems, 37:39249–39280

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.472676Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:2e164c7b6b9f874ac1a91d8421fd0b50e0589b8d3b4e2bd35d8a542673ba0ddb

Observation d525c72f-6716-4433-b34e-b9a75e0cf9f1 · outbound

This paper cites Cbramod: A criss-cross brain foundation model for eeg decoding.arXiv preprint arXiv:2412.07236, 2024a.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Cbramod: A criss-cross brain foundation model for eeg decoding.arXiv preprint arXiv:2412.07236, 2024a

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:15:04.426703Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:1b06ae71d0022d6b04f016aeed2218420e21ca07c8a1a193de122ee1a9c92cd5

Observation 5f8137e9-54a2-40fe-9783-3f2d8a6b8413 · outbound

This paper cites The human sleep project, 2023.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces The human sleep project, 2023

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.486406Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:717e4c468cdfb23fb9431eaf4156c65cc68208399eb10f08a50b163f4d7fb719

Observation 9d5653f7-bfe2-49c8-92d9-30ccacdb72db · outbound

This paper cites Unified training of universal time series forecasting transformers.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Unified training of universal time series forecasting transformers

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.462494Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:b7d0e0644293dfe49e578c9f3c82098985d8c346800fc246a137815b287f791b

Observation b923db66-6b42-48c6-afa3-9f53de8b39b6 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 90

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:15:04.429463Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:e7795c5d0d3db21b28a7dfb600df49501d32a97cd38adf02f6b2c1856e54367f

Observation 90ef46d2-d0b8-4b01-81ce-6eb4bbca0ed8 · outbound

This paper cites AdaBrain-Bench: Benchmarking Brain Foundation Models for Brain-Computer Interface Applications.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces AdaBrain-Bench: Benchmarking Brain Foundation Models for Brain-Computer Interface Applications

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:15:04.445667Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:f39abeb72ba97c7ac24db65819768f1ec7203c53ca24b70da8264532bd913a79

Observation 4085c915-e91b-47e1-9fa9-fe4db5a5b29f · outbound

This paper cites Seizuretransformer: Scaling U-Net with transformer for simultaneous time-step level seizure detection from long EEG recordings.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Seizuretransformer: Scaling U-Net with transformer for simultaneous time-step level seizure detection from long EEG recordings

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:15:04.426096Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:51e4c230a2c78530c86156e47460ef88936651b3b4078b1e6ad5034ac8623784

Observation f538a68a-f43e-4564-a7ac-927a3d6cbcd5 · outbound

This paper cites EEG-FM-Bench : A comprehensive benchmark for the systematic evaluation of EEG foundation models.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces EEG-FM-Bench : A comprehensive benchmark for the systematic evaluation of EEG foundation models

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:15:04.438279Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:d46bca00e0c95c54cc929cb80b4b152253bdcbe3a4260f1040077967f705f1b9

Observation 8795ad54-983c-4c28-8dec-07a828b061ee · outbound

This paper cites Biot: Biosignal transformer for cross-data learning in the wild.Advances in Neural Information Processing Systems, 36:78240–78260.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Biot: Biosignal transformer for cross-data learning in the wild.Advances in Neural Information Processing Systems, 36:78240–78260

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.394431Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:e04c1629f74a5a8ebc100357f1706a9755a8864a0ee2641da0986f610a573be9

Observation f6f7fb54-3a1a-4880-b38a-d81adfeaa4cd · outbound

This paper cites Are eeg foundation models worth it? comparative evaluation with traditional decoders in diverse bci tasks.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Are eeg foundation models worth it? comparative evaluation with traditional decoders in diverse bci tasks

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.414390Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:981e1340b4e726985c114eba4956136c777053f87acfb04e91027fa979a64d57

Observation 191f9ca7-5187-46b0-ab7a-7cc7f3c3ebf3 · outbound

This paper cites Foundation models for EEG decoding: current progress and prospective research.Journal of Neural Engineering, 22(6):061002, December 2025.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Foundation models for EEG decoding: current progress and prospective research.Journal of Neural Engineering, 22(6):061002, December 2025

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.474600Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:128dd9fd99968c9870c50ea020a01a25914535752317934de551c99ba0c63d0e

Observation 90a31e98-8b11-4056-a0c9-8d0f3d2ff3c8 · outbound

This paper cites Evaluation of eeg oscillatory patterns and cognitive process during simple and compound limb motor imagery.PloS one, 9(12):e114853, 2014.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Evaluation of eeg oscillatory patterns and cognitive process during simple and compound limb motor imagery.PloS one, 9(12):e114853, 2014

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.371804Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:7f771d58f03a12dddf8a672008775578c0192aad9253079e3443cc776be455fd

Observation 84df2ecf-cf96-4eb2-8100-a872f366db62 · outbound

This paper cites Young, M.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Young, M

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.471065Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:dd0aa235efa2faaa959d0156e688a30bbe2460ee3a0061470edbcf1b9e11f70b

Observation cc8665ec-e279-4cd4-849d-e868af479e4d · outbound

This paper cites Brain–Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives.IEEE Transactions on Biomedical Engineering, 61(5):1425–1435, 2014.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Brain–Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives.IEEE Transactions on Biomedical Engineering, 61(5):1425–1435, 2014

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:53:58.446986Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:d85e2a7e7f0e46ac643810fac63d4e7aa3bfbfafbbb393a91af63e948386c39f

Observation 9066add6-f1f2-47d3-9aa3-f4983c5eabc8 · outbound

This paper cites BrainWave: A Brain Signal Foundation Model for Clinical Applications.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces BrainWave: A Brain Signal Foundation Model for Clinical Applications

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:15:04.442607Z

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.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:227301571d80e336856f0b5caa8f965ee9774bb0827f945a3e7082986741146a

Pith citing papers

Observation 800d3310-bd55-4afb-af0e-8c61aa189b25 · inbound

A Negative-Control Protocol for Clinical EEG Foundation-Model Benchmarks: Dataset Identity and External-Cohort Stress Testing cites this paper.

A Negative-Control Protocol for Clinical EEG Foundation-Model Benchmarks: Dataset Identity and External-Cohort Stress Testing NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-31T12:39:03.296193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T12:39:03.296193Z digest=sha256:7e0206633da1ac98b301e471ea027867a2165cf77e85d63709ac5957fbd70d53

Observation 77a3802e-f4b5-45e0-bf00-a55e2ba2cd39 · inbound

A Negative-Control Protocol for Clinical EEG Foundation-Model Benchmarks: Dataset Identity and External-Cohort Stress Testing cites this paper.

A Negative-Control Protocol for Clinical EEG Foundation-Model Benchmarks: Dataset Identity and External-Cohort Stress Testing NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T01:34:03.924920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:34:03.924920Z digest=sha256:e15eb79eeacd87ec9d0b677a2578090a0406488cb0bc482917b93d393b0b54c4

Observation 9ddeeba7-52c3-4772-aae2-57610e0bac63 · inbound

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution cites this paper.

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T09:51:47.229536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:51:47.229536Z digest=sha256:13736c906d95699901d60f2e18ffe539b36b69e49046caf3300ee3e335a69552

Observation af96f0d7-08dc-4702-b9a4-1005d664f0ce · inbound

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding cites this paper.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-08T00:26:14.687343Z

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.

source=pdf_text observed=2026-08-08T00:26:13.895819Z digest=sha256:a7e16ebe7c50266e5af1874894638476bf8dc63975f01029e92c11adf97f1947