Paper Citation Record · LEDGER

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels

As of 16 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:1908.04186.

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

pith.paper-citation-record.v1
1908.04186 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:53:01.416799Z

measured 19 of 19 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

19 of 19 outbound references displayed

verified exact0
verified fuzzy19
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb16d6e7-0403-442c-a514-6b72b9aaaf39 · outbound

This paper cites (2015) A framework to automate assessment of upper-limb motor function impairment: A feasibility study.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2015) A framework to automate assessment of upper-limb motor function impairment: A feasibility study

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.689009Z

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.

Observation f21b24db-bc04-496f-922c-878e50473906 · outbound

This paper cites (2008) Eeg source localization in focal epilepsy: where are we now? Epilepsia 49(2), 201–218.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2008) Eeg source localization in focal epilepsy: where are we now? Epilepsia 49(2), 201–218

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.673801Z

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.

Observation 27c5d540-f780-4faa-9870-aabdbcd1a573 · outbound

This paper cites (1958) Report of the committee on methods of clinical examination in electroencephalography.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (1958) Report of the committee on methods of clinical examination in electroencephalography

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.660264Z

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.

Observation 62eb349c-8b7d-4597-a04e-0ace8db93521 · outbound

This paper cites (2007) 10/20, 10/10, and 10/5 systems revisited: their validity as relative head- surface-based positioning systems.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2007) 10/20, 10/10, and 10/5 systems revisited: their validity as relative head- surface-based positioning systems

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.648049Z

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.

Observation f7acde4e-6632-48f4-b88a-3a26131c5298 · outbound

This paper cites (1993) The spatial location of eeg electrodes: locating the best-ﬁtting sphere relative to cortical anatomy.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (1993) The spatial location of eeg electrodes: locating the best-ﬁtting sphere relative to cortical anatomy

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.635910Z

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.

Observation d379bfc8-d334-4358-b5d8-da178472b54c · outbound

This paper cites (1998) Scalp- recorded eeg localization in mri volume data.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (1998) Scalp- recorded eeg localization in mri volume data

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.622560Z

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.

Observation 84ee0a42-5290-41dc-bc55-314eaf9c6fb4 · outbound

This paper cites (2011) A single camera photogrammetry system for multi-angle fast localization of eeg electrodes.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2011) A single camera photogrammetry system for multi-angle fast localization of eeg electrodes

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.610303Z

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.

Observation b3d23587-9905-417c-b1d8-a56d148eae82 · outbound

This paper cites (2015) Using a motion capture system for spatial localization of eeg electrodes.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2015) Using a motion capture system for spatial localization of eeg electrodes

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.597718Z

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.

Observation 80ee8bfd-b00d-4c51-b867-9f9891cf6548 · outbound

This paper cites (2017) Photogrammetry-based head digitization for rapid and accurate localization of eeg electrodes and meg ﬁducial markers using a single digital slr camera.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2017) Photogrammetry-based head digitization for rapid and accurate localization of eeg electrodes and meg ﬁducial markers using a single digital slr camera

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.585793Z

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.

Observation cc1a33f7-f57e-4f47-988e-2351644a2e96 · outbound

This paper cites (2015) Faster r-cnn: Towards real-time object detection with region proposal networks.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2015) Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.573058Z

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.

Observation dc722604-5194-4c96-aec3-59d502196bf6 · outbound

This paper cites (2019) Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2019) Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.559598Z

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.

Observation 1c227f26-d847-4397-b80e-f45036df6578 · outbound

This paper cites (2000) The OpenCV Library.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2000) The OpenCV Library

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.546928Z

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.

Observation 20d4b0b1-4d87-482a-b84f-a998b2c361fc · outbound

This paper cites (2012) Non-orthogonal tool/ﬂange and robot/world calibration.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2012) Non-orthogonal tool/ﬂange and robot/world calibration

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.534894Z

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.

Observation af21aef2-de1f-4722-a492-77d0706dded5 · outbound

This paper cites (2017) Densely connected convolutional networks.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2017) Densely connected convolutional networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.521240Z

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.

Observation c3e5d688-afbf-4324-8348-8025ea15cd4e · outbound

This paper cites (2018) Squeeze-and-excitation networks.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2018) Squeeze-and-excitation networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.507771Z

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.

Observation c865249e-263b-445e-97ae-c8617f61e5ba · outbound

This paper cites (2017) Automatic diﬀerentiation in PyTorch.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2017) Automatic diﬀerentiation in PyTorch

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.494862Z

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.

Observation 580f5f28-0ab3-4a65-8908-e6142bff6537 · outbound

This paper cites (2015) A survey on multi-output regression.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2015) A survey on multi-output regression

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.482301Z

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.

Observation 4a8d3554-9fed-442c-b4bb-d89594d71314 · outbound

This paper cites (2014) Learning and transferring mid-level image representations using convolutional neural networks.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2014) Learning and transferring mid-level image representations using convolutional neural networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.469437Z

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.

Observation a4415691-866b-4faf-93e7-6b98a120f06c · outbound

This paper cites (2018) Learning to compare: Relation network for few-shot learning.

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels (2018) Learning to compare: Relation network for few-shot learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:53:01.455837Z

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.

Pith citing papers

No inbound Pith citation observations are available.