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Paper Citation Record · LEDGER

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects

As of 11 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:1907.09540.

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

pith.paper-citation-record.v1
1907.09540 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T17:46:07.551419Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d174b4b3-f06c-4c10-9edd-51d305807e12 · outbound

This paper cites The influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis–a longitudinal study.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects The influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis–a longitudinal study

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ae82c910-deaf-4e29-8d57-62961bddef6f · outbound

This paper cites Alpha rhythm of the EEG modu- lates visual detection performance in humans.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Alpha rhythm of the EEG modu- lates visual detection performance in humans

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 86fb67d2-267c-42be-ae53-43f5e06e7f27 · outbound

This paper cites Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain-computer interface.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain-computer interface

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 25f35373-19ab-4525-a206-4c7312f67b5d · outbound

This paper cites Effects of user mental state on EEG-BCI performance.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Effects of user mental state on EEG-BCI performance

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 093debf7-890e-46ba-8fff-42b688796728 · outbound

This paper cites Vigilance state fluctuations and performance using brain computer interface for communication.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Vigilance state fluctuations and performance using brain computer interface for communication

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 2026-08-10T06:31:04.303077+00:00.

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Observation 87cd4fb1-9f0c-4f66-aa30-4d53971e5db9 · outbound

This paper cites EEG-based vigilance estimation using extreme learning machines.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects EEG-based vigilance estimation using extreme learning machines

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f7bdee08-44b1-49e0-8ee5-0090701f5106 · outbound

This paper cites EEG predictors of covert vigilant attention.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects EEG predictors of covert vigilant attention

Reference 7

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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 2026-08-10T06:31:04.303077+00:00.

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Observation 613de017-915c-4ba0-a757-4c36a0e3f86d · outbound

This paper cites A subject-transfer framework for obviating inter-and intra- subject variability in EEG-based drowsiness detection.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects A subject-transfer framework for obviating inter-and intra- subject variability in EEG-based drowsiness detection

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T17:46:17.367638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T17:46:07.551419Z digest=sha256:8b89bb63e75022a28756a9908f2e0652a118d7054ec5ae9052aefc78d827b5d2

Observation 846c8f5a-7a6d-47a3-82b6-ec86f064ffbd · outbound

This paper cites Convolutional neural networks for P300 detection with application to brain-computer interfaces.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Convolutional neural networks for P300 detection with application to brain-computer interfaces

Reference 9

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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 2026-08-10T06:31:04.303077+00:00.

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Observation 2408443c-2b50-4004-ad86-cb96b2286cd3 · outbound

This paper cites Deep feature learning for EEG recordings, in Proc.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Deep feature learning for EEG recordings, in Proc

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2e7ffbff-f41f-4726-b377-fff5f5607f99 · outbound

This paper cites Learn- ing representations from EEG with deep recurrent- convolutional neural networks, in Proc.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Learn- ing representations from EEG with deep recurrent- convolutional neural networks, in Proc

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T17:46:07.551419Z digest=sha256:d7d3cc1b410f33ed7fb2a2c18357b2cf09dc499726e8e3d9c9ba312f765e9168

Observation 2b870a29-c0ba-4815-a4c3-6c035f835cce · outbound

This paper cites Deep learning with convolu- tional neural networks for EEG decoding and visualiza- tion.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Deep learning with convolu- tional neural networks for EEG decoding and visualiza- tion

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 2026-08-10T06:31:04.303077+00:00.

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Observation 27611700-a8a3-4c76-90b7-a6f14698b48f · outbound

This paper cites EEGNet: a compact convolutional neural network for EEG-based brain-computer inter- faces.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects EEGNet: a compact convolutional neural network for EEG-based brain-computer inter- faces

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T17:46:17.398342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 44820aae-1435-4c95-aa91-6c7e35db5ca9 · outbound

This paper cites A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year up- date.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year up- date

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T17:46:17.403968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T17:46:07.551419Z digest=sha256:98807f8e850809c69b8f5849e569b05901a22a85fc89890e3c217e1c361edf88

Observation 9f298318-c189-4c3e-869b-adc5446cbd2a · outbound

This paper cites Censoring representations with an adversary, in Proc.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Censoring representations with an adversary, in Proc

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T17:46:17.404240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T17:46:07.551419Z digest=sha256:899943745b3408a116f676db90f4555562cd8e2bba0ebe21a60c88b1a82e942b

Observation 37f83f97-9eb3-46de-9f2b-d4191c6566fd · outbound

This paper cites The variational fair autoencoder, in Proc.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects The variational fair autoencoder, in Proc

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 645d7863-05d3-42c3-98e4-94f860911e38 · outbound

This paper cites Fader networks: Manipulating images by sliding attributes, in Proc.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Fader networks: Manipulating images by sliding attributes, in Proc

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9c72117c-3a86-41fa-929a-dd1d55ba1590 · outbound

This paper cites Controllable invariance through adversarial feature learning, in Proc.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Controllable invariance through adversarial feature learning, in Proc

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a2c35e09-aaa0-43d1-8992-a481c8ee840c · outbound

This paper cites Learning to pivot with adversarial networks, in Proc.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Learning to pivot with adversarial networks, in Proc

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c3ae159e-db01-45d2-b55a-7b04c81e7392 · outbound

This paper cites RSVP keyboard: An EEG based typing interface, in Proc.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects RSVP keyboard: An EEG based typing interface, in Proc

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0019ffb8-b40d-4459-80e4-de3b0f9e863b · outbound

This paper cites Identifying a reliable boredom induction.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Identifying a reliable boredom induction

Reference 21

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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 2026-08-10T06:31:04.303077+00:00.

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Observation 3185682d-e1a4-4984-8b2f-f895e78fe4c3 · outbound

This paper cites Relations between performance and subjective ratings of sleepiness during a night awake.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Relations between performance and subjective ratings of sleepiness during a night awake

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T17:46:17.432064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cefceff2-7be9-4c98-9ffb-6a345a3bb616 · outbound

This paper cites Chainer: a next- generation open source framework for deep learning, in Proc.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Chainer: a next- generation open source framework for deep learning, in Proc

Reference 23

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verified fuzzy
raw_fallback, observed 2026-05-24T17:46:17.382008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c9da8368-f737-436a-bd04-6a563ebe19f2 · outbound

This paper cites Adam: A method for stochastic optimization, in Proc.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Adam: A method for stochastic optimization, in Proc

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T17:46:17.420511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T17:46:07.551419Z digest=sha256:cc7e46967d94368a2c956f75d510e691d9660143e8ca6c97bc7254b965db4b6d

Observation 90b5c6c6-782c-4c32-9cb2-2f452921a3b4 · outbound

This paper cites Transfer learning in brain-computer interfaces with adversarial variational autoencoders, in Proc.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Transfer learning in brain-computer interfaces with adversarial variational autoencoders, in Proc

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T17:46:17.436930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T17:46:07.551419Z digest=sha256:0955c47f7d23f27de61dc95646440ef1f39b24fcf896ef622a15c472899804b1

Observation c0b7a639-ed0a-4e48-bbfe-e44c7a0d9a44 · outbound

This paper cites Adversarial deep learning in EEG biometrics.

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects Adversarial deep learning in EEG biometrics

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T17:46:17.443301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Pith citing papers

No inbound Pith citation observations are available.