Paper Citation Record · LEDGER

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm

As of 22 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 3 inbound Pith citation observations for arXiv:2506.11830.

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

pith.paper-citation-record.v1
2506.11830 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:43.757832Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:49:08.197373Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T19:51:34.417156Z

Reference resolution

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c09651d-b023-4363-80db-594c0623c901 · outbound

This paper cites Brain computer i nterfaces, a review,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Brain computer i nterfaces, a review,

Reference 1

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Observation eacc6666-a568-44e9-bc64-a4ef233207ae · outbound

This paper cites On calibr ation of modern neural networks,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm On calibr ation of modern neural networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:49.430442Z

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Observation e8e23530-4469-491a-b85d-61f9594d907a · outbound

This paper cites EEGNet: A compact convolutional neural net work for EEG-based brain-computer interfaces,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm EEGNet: A compact convolutional neural net work for EEG-based brain-computer interfaces,

Reference 3

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Source-reported events for the cited work

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Observation 064f24c9-1abb-4ec5-b473-447517db6dc1 · outbound

This paper cites Transfer learning for brain-computer in terfaces: A euclidean space data alignment approach,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Transfer learning for brain-computer in terfaces: A euclidean space data alignment approach,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:49.383326Z

Source-reported events for the cited work

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Observation 8b656f99-3440-4445-b4ba-2899bae95e19 · outbound

This paper cites Pr e-stimulus sensorimotor rhythms inﬂuence brain–computer interface c lassiﬁcation performance,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Pr e-stimulus sensorimotor rhythms inﬂuence brain–computer interface c lassiﬁcation performance,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:49.231805Z

Source-reported events for the cited work

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Observation 9952cfdd-0258-4352-aa4a-9208fbe6cac1 · outbound

This paper cites Filtering technique s for channel selection in motor imagery EEG applications: a survey,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Filtering technique s for channel selection in motor imagery EEG applications: a survey,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:49.148856Z

Source-reported events for the cited work

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Observation b90ed879-fd2f-45e3-a0a2-123f0f6eeab7 · outbound

This paper cites Cross-dataset transfer learning for motor ima gery signal classiﬁcation via multi-task learning and pre-training,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Cross-dataset transfer learning for motor ima gery signal classiﬁcation via multi-task learning and pre-training,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:49.107924Z

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Observation fdc5ab2a-c3d0-4ef0-bcc5-7252b7917444 · outbound

This paper cites Commande robuste d’un effecteur par une i nterface cerveau–machine eeg asynchrone,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Commande robuste d’un effecteur par une i nterface cerveau–machine eeg asynchrone,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:49.090143Z

Source-reported events for the cited work

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Observation 9e68a158-5f16-41ac-a2c2-37375ff77eb3 · outbound

This paper cites Review of the BCI competition IV,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Review of the BCI competition IV,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:49.016762Z

Source-reported events for the cited work

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

Observation b61cfb4f-6be2-4f24-a9d1-abf5123536b2 · outbound

This paper cites Brain–computer communication: motiva tion, aim, and impact of exploring a virtual apartment,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Brain–computer communication: motiva tion, aim, and impact of exploring a virtual apartment,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:48.867152Z

Source-reported events for the cited work

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Observation 68279406-708a-4772-a8c1-b502e69ef867 · outbound

This paper cites Random forests in non–invasive sensorimotor rhythm brain-comput er interfaces: a practical and convenient non-linear classiﬁer,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Random forests in non–invasive sensorimotor rhythm brain-comput er interfaces: a practical and convenient non-linear classiﬁer,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:48.736441Z

Source-reported events for the cited work

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Observation 625c5ecf-9ca3-461b-a898-e37d82c5de82 · outbound

This paper cites Autocalibration and recurrent adaptation: Towards a plug and play online erd-BCI,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Autocalibration and recurrent adaptation: Towards a plug and play online erd-BCI,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:48.700036Z

Source-reported events for the cited work

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Observation 915c9b22-711b-491a-bf53-3001ef647ffa · outbound

This paper cites Individually adapted imagery impr oves brain– computer interface performance in end-users with disabili ty,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Individually adapted imagery impr oves brain– computer interface performance in end-users with disabili ty,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:48.631387Z

Source-reported events for the cited work

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Observation 113b2454-a023-4056-8568-5ddd09c8aaf8 · outbound

This paper cites MOABB: trustworthy algor ithm bench- marking for BCIs,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm MOABB: trustworthy algor ithm bench- marking for BCIs,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:48.448742Z

Source-reported events for the cited work

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Observation 22e1d733-5ae4-42c8-9ee7-ab0828965e8b · outbound

This paper cites EEG dataset s for motor imagery brain–computer interface,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm EEG dataset s for motor imagery brain–computer interface,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:48.313034Z

Source-reported events for the cited work

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Observation 5d7c2c53-1c71-432c-951b-730fbb154769 · outbound

This paper cites EEG dataset and openbmi toolbox for three BCI paradigms: An investigation into BCI illiteracy,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm EEG dataset and openbmi toolbox for three BCI paradigms: An investigation into BCI illiteracy,

Reference 16

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Observation cc3e4609-e4cd-47c7-a755-c5323c793159 · outbound

This paper cites Beam- forming in noninvasive brain–computer interfaces,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Beam- forming in noninvasive brain–computer interfaces,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:48.138569Z

Source-reported events for the cited work

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Observation f7ccaf5c-4f38-48f7-add6-70646ca83fdd · outbound

This paper cites Upper limb movements can be decoded from the time-domain of low–freque ncy EEG,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Upper limb movements can be decoded from the time-domain of low–freque ncy EEG,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:47.883598Z

Source-reported events for the cited work

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Observation 0d6fa18b-aac5-436c-ae65-8795ef9f9bfa · outbound

This paper cites Physiobank, physiotoolkit, and physionet: comp onents of a new research resource for complex physiologic signals,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Physiobank, physiotoolkit, and physionet: comp onents of a new research resource for complex physiologic signals,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:47.605568Z

Source-reported events for the cited work

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Observation fb1abec6-59d9-4fe3-9407-9af70b3d1630 · outbound

This paper cites Bci2000: a general–purpose brain-computer inter face (BCI) system,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Bci2000: a general–purpose brain-computer inter face (BCI) system,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:47.235842Z

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Observation cf56ea44-d61a-4705-adbf-6870f6f71815 · outbound

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

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Deep learning with convolutional neural networks for EEG d ecoding and visualization,

Reference 21

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Observation e6a4291d-f6c4-4c4d-9e15-05da357ae9f6 · outbound

This paper cites Open access dataset for EEG+ nirs single- trial classiﬁcation,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Open access dataset for EEG+ nirs single- trial classiﬁcation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:47.029357Z

Source-reported events for the cited work

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Observation 1ebfb331-2cfe-4185-b7b4-af30d3393e1a · outbound

This paper cites Evaluation of EEG oscillatory patterns and cognitive proc ess during simple and compound limb motor imagery,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Evaluation of EEG oscillatory patterns and cognitive proc ess during simple and compound limb motor imagery,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:46.828530Z

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Observation 4a702549-7121-44cd-8351-882a5963f0f5 · outbound

This paper cites A fully automa ted trial selection method for optimization of motor imagery ba sed brain– computer interface,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm A fully automa ted trial selection method for optimization of motor imagery ba sed brain– computer interface,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:46.490632Z

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Observation f1519889-683c-4312-a240-704dfb8b79fd · outbound

This paper cites Continuous sensor imotor rhythm based brain computer interface learning in a large populati on,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Continuous sensor imotor rhythm based brain computer interface learning in a large populati on,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:46.245399Z

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Observation db6e1381-d4ae-4f02-a860-a29a2c0d7386 · outbound

This paper cites An EEG motor imagery dataset for brain computer interface in acute stroke patients,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm An EEG motor imagery dataset for brain computer interface in acute stroke patients,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:46.013982Z

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Observation c769fdd4-cd95-4bd4-9413-8a56b7e27856 · outbound

This paper cites EEGNet: a compact convolutional neural net work for EEG–based brain–computer interfces,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm EEGNet: a compact convolutional neural net work for EEG–based brain–computer interfces,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:45.793828Z

Source-reported events for the cited work

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Observation 2a8089c7-cb87-429b-ac87-f60ec94f7b66 · outbound

This paper cites GPT-4 Technical Report.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm GPT-4 Technical Report

Reference 28

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Observation 4457dcf1-6155-4342-8a62-3fc4e0d6dc4c · outbound

This paper cites The Llama 3 Herd of Models.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm The Llama 3 Herd of Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:42.643498Z

Source-reported events for the cited work

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Observation 57eba92d-d438-4fd4-b384-9aeae4bc8134 · outbound

This paper cites Qwen Technical Report.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Qwen Technical Report

Reference 30

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Observation 66056a54-0976-4ee2-8111-78c2f02a6c35 · outbound

This paper cites Large brain mode l for learning generic representations with tremendous EEG data in BCI,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Large brain mode l for learning generic representations with tremendous EEG data in BCI,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:45.525608Z

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Observation df832897-865f-4e82-a3fe-967f27cea30e · outbound

This paper cites EEGPT: Pret rained transformer for universal and reliable representation of E EG signals,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm EEGPT: Pret rained transformer for universal and reliable representation of E EG signals,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:45.332442Z

Source-reported events for the cited work

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Observation e8fd7f6e-b4cf-4e83-9bf2-83b05db68005 · outbound

This paper cites Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification

Reference 33

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Observation c0d0aa7b-2ee2-4768-accb-e9e00ce81ed8 · outbound

This paper cites Neurophysiological pr edictor of SMR-based BCI performance,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Neurophysiological pr edictor of SMR-based BCI performance,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:45.069771Z

Source-reported events for the cited work

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

Observation 6a5b7ae1-44bf-4dad-8b3c-b0ae80934ed6 · outbound

This paper cites Swi tching EEG headsets made easy: Reducing ofﬂine calibration effort using active wighted adaptation regularization,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Swi tching EEG headsets made easy: Reducing ofﬂine calibration effort using active wighted adaptation regularization,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:44.897910Z

Source-reported events for the cited work

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Observation c9f2d466-9c49-47f2-9e0f-0aadf5f59f00 · outbound

This paper cites Enha ncing transfer performance across datasets for brain-computer i nterfaces using a combination of alignment strategies and adaptive batch no rmalization,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Enha ncing transfer performance across datasets for brain-computer i nterfaces using a combination of alignment strategies and adaptive batch no rmalization,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:44.606460Z

Source-reported events for the cited work

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Observation ed720ddf-549e-4a34-9054-af91fdb6a3a8 · outbound

This paper cites Manifold embedded knowledge transf er for brain-computer interfaces,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm Manifold embedded knowledge transf er for brain-computer interfaces,

Reference 37

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Source-reported events for the cited work

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Observation cff9bf63-2e0b-440d-b46d-233cb9df7210 · outbound

This paper cites A cross-dataset adaptive domain selection transfer learn ing framework for motor imagery-based brain-computer interfaces,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm A cross-dataset adaptive domain selection transfer learn ing framework for motor imagery-based brain-computer interfaces,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:44.362634Z

Source-reported events for the cited work

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

Observation 36518132-eedd-4e8e-abb5-03ea01176d92 · outbound

This paper cites CBraMoD: A criss-cross brain foundation model for EEG deco ding,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm CBraMoD: A criss-cross brain foundation model for EEG deco ding,

Reference 39

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Source-reported events for the cited work

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Observation 46599e70-2167-453c-8985-7faee381a6c2 · outbound

This paper cites EEGfo rmer: A transformer–based brain activity classiﬁcation method u sing EEG signal,.

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm EEGfo rmer: A transformer–based brain activity classiﬁcation method u sing EEG signal,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:44.158018Z

Source-reported events for the cited work

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Observation 4394d6d2-7ead-43aa-b0bd-223f2ff0859d · outbound

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

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 41

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Pith citing papers

Observation 90cc9ccd-d1e2-4ddb-adb5-aa334441e832 · inbound

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

MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm

Reference 13

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Observation ea89bce3-3d26-4476-a112-894245dddd38 · inbound

The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results cites this paper.

The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm

Reference 11

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Observation d7763260-87b0-4f63-abb0-e89e47ddbbb6 · inbound

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

EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-04T06:20:07.813305Z

Source-reported events for the cited work

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