Paper Citation Record · LEDGER

Support Vector Machine for Person Classification Using the EEG Signals

As of 13 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2411.17446.

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

pith.paper-citation-record.v1
2411.17446 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:09:38.884238Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

27 of 27 outbound references displayed

verified exact2
verified fuzzy23
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a9937e9-f576-4a86-b958-977d95a5c272 · outbound

This paper cites Ethical hacking,.

Support Vector Machine for Person Classification Using the EEG Signals Ethical hacking,

Reference 1

Resolution: verified exact; doi, observed 2026-08-12T12:09:38.921716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 167b461e-f790-4b10-9073-3cc123cdffa3 · outbound

This paper cites A multimodal biometric system using fingerprint, face and speech,.

Support Vector Machine for Person Classification Using the EEG Signals A multimodal biometric system using fingerprint, face and speech,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.143081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5aaf7e21-767e-4670-8a05-a46e0c0ccd6b · outbound

This paper cites Biometrics evaluation under spoofing attacks,.

Support Vector Machine for Person Classification Using the EEG Signals Biometrics evaluation under spoofing attacks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.134389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 426bbff8-ea9d-426f-9cee-5b97f14f639e · outbound

This paper cites Eeg signal analysis: a survey,.

Support Vector Machine for Person Classification Using the EEG Signals Eeg signal analysis: a survey,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.125322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 855e7ac1-8eca-4466-82fd-4ebea7c7d9bd · outbound

This paper cites Embedded eeg signal acquisition systems,.

Support Vector Machine for Person Classification Using the EEG Signals Embedded eeg signal acquisition systems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.116123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f116ba68-5526-4a75-af66-57442061f267 · outbound

This paper cites Biometrics from brain electrical activity: A machine learning approach,.

Support Vector Machine for Person Classification Using the EEG Signals Biometrics from brain electrical activity: A machine learning approach,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.106317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f4fc0bc5-4d61-4244-8ada-e2a46ac2308b · outbound

This paper cites Emotion estimation from eeg signals during listening to quran using psd features,.

Support Vector Machine for Person Classification Using the EEG Signals Emotion estimation from eeg signals during listening to quran using psd features,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.096970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 657cb08e-a439-4b80-8169-d60b2bbe874a · outbound

This paper cites Survey of eeg-based biometric authentication,.

Support Vector Machine for Person Classification Using the EEG Signals Survey of eeg-based biometric authentication,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.087929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f10a4359-f02e-4fdc-9824-d1d70635fdf7 · outbound

This paper cites Human identification from brain eeg signals using advanced machine learning method eeg-based biometrics,.

Support Vector Machine for Person Classification Using the EEG Signals Human identification from brain eeg signals using advanced machine learning method eeg-based biometrics,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.078828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3eab467c-b67f-4cb3-afc6-d98dc02a965a · outbound

This paper cites An independent component analysis (ica) based approach for eeg person authentication,.

Support Vector Machine for Person Classification Using the EEG Signals An independent component analysis (ica) based approach for eeg person authentication,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.069162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5ea1a16b-4710-418c-819e-20f4016e8ca9 · outbound

This paper cites Comparison of different entropies as features for person authentication based on eeg signals,.

Support Vector Machine for Person Classification Using the EEG Signals Comparison of different entropies as features for person authentication based on eeg signals,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.061322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 55d9ba7f-34af-48b0-9b9e-e58da6c273f8 · outbound

This paper cites Eeg-based user authentication using a convolutional neural network,.

Support Vector Machine for Person Classification Using the EEG Signals Eeg-based user authentication using a convolutional neural network,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.053136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 640799a1-5952-46ba-b487-bfcbfa635cbb · outbound

This paper cites Eeg- based person authentication method using deep learning with visual stimulation,.

Support Vector Machine for Person Classification Using the EEG Signals Eeg- based person authentication method using deep learning with visual stimulation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.044519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1fc99819-7a3d-4eec-9097-5f1691cd1361 · outbound

This paper cites Eeg and empatica e4 signals - five minute p300 test and fas scores,.

Support Vector Machine for Person Classification Using the EEG Signals Eeg and empatica e4 signals - five minute p300 test and fas scores,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.035039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f684ed22-d5a1-4d23-9521-3af2a43cd823 · outbound

This paper cites Evaluation of a fast test based on biometric signals to assess mental fatigue at the workplace—a pilot study,.

Support Vector Machine for Person Classification Using the EEG Signals Evaluation of a fast test based on biometric signals to assess mental fatigue at the workplace—a pilot study,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.025917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 46e12685-4c0a-4d18-b05d-1a865b19985e · outbound

This paper cites Skin sympathetic nerve activity and event-related potentials during auditory oddball paradigms,.

Support Vector Machine for Person Classification Using the EEG Signals Skin sympathetic nerve activity and event-related potentials during auditory oddball paradigms,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.016353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 88c407a9-b061-451c-85df-3d7bfbe7bb54 · outbound

This paper cites What is novel in the novelty oddball paradigm? functional significance of the novelty p3 event-related potential as revealed by independent component analysis,.

Support Vector Machine for Person Classification Using the EEG Signals What is novel in the novelty oddball paradigm? functional significance of the novelty p3 event-related potential as revealed by independent component analysis,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:39.006903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7ca73285-ad59-44d0-b603-179631150955 · outbound

This paper cites Openvibe: An open-source software platform to design, test, and use brain–computer interfaces in real and virtual environments,.

Support Vector Machine for Person Classification Using the EEG Signals Openvibe: An open-source software platform to design, test, and use brain–computer interfaces in real and virtual environments,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:38.997671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 04ed0adf-a81d-4413-9466-ad40cf3a7efc · outbound

This paper cites Accessible electroencephalograms (eegs): A comparative review with openbci’s ultracortex mark iv headset,.

Support Vector Machine for Person Classification Using the EEG Signals Accessible electroencephalograms (eegs): A comparative review with openbci’s ultracortex mark iv headset,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:38.987852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 283dee28-63ff-4079-9f3e-f346e12dc102 · outbound

This paper cites Eeglab: an open source toolbox for analysis of single-trial eeg dynamics including independent component analysis,.

Support Vector Machine for Person Classification Using the EEG Signals Eeglab: an open source toolbox for analysis of single-trial eeg dynamics including independent component analysis,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T12:09:38.866830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 906d085a-3c5e-45ed-949b-d636b0ddbb7a · outbound

This paper cites Multimodal eeg and keystroke dynamics based biometric system using machine learning algorithms,.

Support Vector Machine for Person Classification Using the EEG Signals Multimodal eeg and keystroke dynamics based biometric system using machine learning algorithms,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:38.972834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 93f506b2-c6d5-4987-babe-f380c4ff9f11 · outbound

This paper cites Stable eeg features for biometric recognition in resting state conditions,.

Support Vector Machine for Person Classification Using the EEG Signals Stable eeg features for biometric recognition in resting state conditions,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:38.965030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1c20e26f-0d51-438e-9b33-0a7ebfa6b46c · outbound

This paper cites Seizure lateralization in scalp eeg using hjorth parameters t. cecchin, r. ranta b, o. caspary c, l. koessler b, d, h. vespignani b, d, l. maillard b, d.

Support Vector Machine for Person Classification Using the EEG Signals Seizure lateralization in scalp eeg using hjorth parameters t. cecchin, r. ranta b, o. caspary c, l. koessler b, d, h. vespignani b, d, l. maillard b, d

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:38.956517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b807e1b8-b9eb-43a5-8355-b98686c3055c · outbound

This paper cites Feature extraction of eeg signals using power spectral entropy,.

Support Vector Machine for Person Classification Using the EEG Signals Feature extraction of eeg signals using power spectral entropy,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:38.946927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2c1f0dd8-a444-416e-abb7-018e6a4586ec · outbound

This paper cites A comparison between power spectral density and network metrics: an eeg study,.

Support Vector Machine for Person Classification Using the EEG Signals A comparison between power spectral density and network metrics: an eeg study,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:09:38.937673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a86be6f9-1f36-4c5e-8d64-cea1a8aa1280 · outbound

This paper cites A meta-analysis of overfitting in machine learning,.

Support Vector Machine for Person Classification Using the EEG Signals A meta-analysis of overfitting in machine learning,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T12:09:38.884238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2b266bc-9e92-4433-b946-a72d0367b97f · outbound

This paper cites Available: https://dx.doi.org/10.21227/0sjm-r993.

Support Vector Machine for Person Classification Using the EEG Signals Available: https://dx.doi.org/10.21227/0sjm-r993

Reference 2021

Resolution: verified exact; doi, observed 2026-08-12T12:09:38.911179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.