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Paper Citation Record · LEDGER

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2501.01725.

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

pith.paper-citation-record.v1
2501.01725 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:26:16.361272Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

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  • verified fuzzy7
  • unresolved15
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f091b5c-8feb-4f4b-8c7d-e90323854cfa · outbound

This paper cites rain - computer interfaces in neurorecovery and neurorehabilitation,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding rain - computer interfaces in neurorecovery and neurorehabilitation,

Reference 1

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Source-reported events for the cited work

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Observation c8d047a0-90db-4554-af98-86484b6287d8 · outbound

This paper cites rain–Computer Interfaces,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding rain–Computer Interfaces,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f37d7854-1946-4b78-8418-2a0075589371 · outbound

This paper cites Boundary critical behavior of the three-dimensional Heisenberg universality class.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Boundary critical behavior of the three-dimensional Heisenberg universality class

Reference 3

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Source-reported events for the cited work

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Observation 367e6aea-15d5-4aec-ab3a-daa16328049f · outbound

This paper cites on -invasive Brain -Computer Interfaces State of the rt and Trends,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding on -invasive Brain -Computer Interfaces State of the rt and Trends,

Reference 4

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raw_fallback, observed 2026-08-10T22:26:17.886955Z

Source-reported events for the cited work

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Observation 41cce03e-3d1a-4e5e-83cf-fd08b29252f1 · outbound

This paper cites From classic motor imagery to comple mo ement intention decoding: The noninvasive Graz -BCI approach,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding From classic motor imagery to comple mo ement intention decoding: The noninvasive Graz -BCI approach,

Reference 5

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verified exact
doi, observed 2026-08-10T22:26:16.575372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0836859c-3114-42fd-8682-ac84277b89a6 · outbound

This paper cites inary classification of hand mo ement directions from EEG using wavelet phase -locking,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding inary classification of hand mo ement directions from EEG using wavelet phase -locking,

Reference 6

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Source-reported events for the cited work

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Observation f855a4af-2020-4d4d-b609-fbda2ffb64bb · outbound

This paper cites Wa let phase -locking based binary classification of hand mo ement directions from ,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Wa let phase -locking based binary classification of hand mo ement directions from ,

Reference 7

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doi, observed 2026-08-10T22:26:16.459080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7fa38eb4-f68a-4d97-87ff-b66ee96d73be · outbound

This paper cites lassification of hand mo ement direction based on EEG high -gamma acti ity,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding lassification of hand mo ement direction based on EEG high -gamma acti ity,

Reference 8

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Source-reported events for the cited work

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Observation 6c402bee-3c7b-41df-a9a9-d971388119ec · outbound

This paper cites Ma imum Variance-based EEG Time Bin Selection for Decoding of Imagined Hand Movement Directions in rain omputer Interface,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Ma imum Variance-based EEG Time Bin Selection for Decoding of Imagined Hand Movement Directions in rain omputer Interface,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f98528bd-d62a-4786-a955-b1f1dd31436a · outbound

This paper cites Motor Imagery Hand Mo ement Direction Decoding using Brain Computer Interface to id Stroke eco ery and ehabilitation,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Motor Imagery Hand Mo ement Direction Decoding using Brain Computer Interface to id Stroke eco ery and ehabilitation,

Reference 10

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Observation 9cc7f46b-e95e-4dcb-b4ef-91d115d8e032 · outbound

This paper cites nline Hand Motor Imagery Direction Decoding using Brain Computer Interface,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding nline Hand Motor Imagery Direction Decoding using Brain Computer Interface,

Reference 11

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Observation 6e78ca43-514c-410f-919f-57b8a83a4ccf · outbound

This paper cites ew hannel Selection Method using Autoencoder for Motor Imagery based rain omputer Interface,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding ew hannel Selection Method using Autoencoder for Motor Imagery based rain omputer Interface,

Reference 12

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Observation 0835faad-ad1f-442c-85a2-48b327e7b45f · outbound

This paper cites re iew of channel selection algorithms for signal processing,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding re iew of channel selection algorithms for signal processing,

Reference 13

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Source-reported events for the cited work

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Observation c509959a-3e19-48cf-a858-26ea3da1d3de · outbound

This paper cites Most opular Signal rocessing Methods in Motor - Imagery BCI: A Review and Meta - nalysis,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Most opular Signal rocessing Methods in Motor - Imagery BCI: A Review and Meta - nalysis,

Reference 14

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Source-reported events for the cited work

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Observation acf47184-002c-4cce-801f-a41ae71fb660 · outbound

This paper cites re iew of classification algorithms for EEG-based brain -computer interfaces: A 10 year update,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding re iew of classification algorithms for EEG-based brain -computer interfaces: A 10 year update,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 11142729-e33c-4751-8d8a-b1e6199b6c8b · outbound

This paper cites Goodfellow, Y.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Goodfellow, Y

Reference 16

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Observation e1a99435-6bb0-421f-bbd8-1aaa3b0c1790 · outbound

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

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Deep learning with convolutional neural networks for EEG decoding and isuali ation,

Reference 17

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Observation 0bb7aae5-2185-444c-a529-278575b82cdb · outbound

This paper cites et Compact Convolutional Neural Network for EEG -based Brain- omputer Interfaces,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding et Compact Convolutional Neural Network for EEG -based Brain- omputer Interfaces,

Reference 18

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Source-reported events for the cited work

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Observation dd26ea88-c014-416e-b0a3-056ec0d8bb1c · outbound

This paper cites F et: a Multi-view CNN with novel Variance Layer for Motor Imagery rain omputer Interface,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding F et: a Multi-view CNN with novel Variance Layer for Motor Imagery rain omputer Interface,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0b3ab0b7-3bb9-4bc7-a9ee-fb3b677811fd · outbound

This paper cites F MS et Filter -Bank Multi -Scale Convolutional Neural Network for EEG -Based Motor Imagery Decoding,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding F MS et Filter -Bank Multi -Scale Convolutional Neural Network for EEG -Based Motor Imagery Decoding,

Reference 20

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Observation 532d97d6-ee1c-437f-9ce5-a9ecb4b6c0a6 · outbound

This paper cites Deep learning -based electroencephalography analysis a systematic re iew,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Deep learning -based electroencephalography analysis a systematic re iew,

Reference 21

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Observation 7528eec4-9821-4cd0-a5f5-e5f036810a0f · outbound

This paper cites Deep Transfer Learning for EEG - ased rain omputer Interface,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Deep Transfer Learning for EEG - ased rain omputer Interface,

Reference 22

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Observation 1b0bd900-2c5d-4f2a-a166-bb3a4fb08194 · outbound

This paper cites Deep learning for motor imagery -based classification re iew,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Deep learning for motor imagery -based classification re iew,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9598b296-b8ee-4b16-9b7e-a72bdb3a3d16 · outbound

This paper cites Transfer Learning for - Based Brain-Computer Interfaces: A Review of Progress Made since ,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Transfer Learning for - Based Brain-Computer Interfaces: A Review of Progress Made since ,

Reference 24

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Observation a20c6965-396e-4e73-99cb-6424da299e7c · outbound

This paper cites Transfer Learning for rain - Computer Interfaces: A Euclidean Space Data Alignment pproach,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Transfer Learning for rain - Computer Interfaces: A Euclidean Space Data Alignment pproach,

Reference 25

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Observation 7ffbfa89-f127-4e5f-9466-cb0c0697059a · outbound

This paper cites Decoding Multi -Class Motor Imagery from Unilateral Limbs Using EEG Signals,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Decoding Multi -Class Motor Imagery from Unilateral Limbs Using EEG Signals,

Reference 26

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Observation f3e0f979-1abd-47d0-b095-4739fa208bb1 · outbound

This paper cites I ompetition – ra data set ,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding I ompetition – ra data set ,

Reference 27

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Source-reported events for the cited work

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Observation 89196f61-c1c1-4402-b529-f008d7a3a937 · outbound

This paper cites Topological superconductivity in tripartite superconductor-ferromagnet-semiconductor nanowires.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Topological superconductivity in tripartite superconductor-ferromagnet-semiconductor nanowires

Reference 28

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Observation 917f8947-89e6-4073-b79e-0090251335cb · outbound

This paper cites Squee e -and-Excitation etworks,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Squee e -and-Excitation etworks,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 70cda67c-953c-463a-bcf9-f3bc8270358b · outbound

This paper cites Impro ing direction decoding accuracy during online motor imagery based brain-computer interface using error -related potentials,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Impro ing direction decoding accuracy during online motor imagery based brain-computer interface using error -related potentials,

Reference 30

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Observation 8cfcb110-4ac9-4bb7-ab57-4885b750611e · outbound

This paper cites n analysis of performance evaluation for motor-imagery based I,.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding n analysis of performance evaluation for motor-imagery based I,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6a672d66-5b32-4bd3-8d64-198401f3da81 · outbound

This paper cites Available: https://github.com/vlawhern/arl-eegmodels.

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding Available: https://github.com/vlawhern/arl-eegmodels

Reference 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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