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Paper Citation Record · LEDGER

EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1806.01875.

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

pith.paper-citation-record.v1
1806.01875 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:31:06.096388Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-28T23:32:46.954845Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c2f8fe2d-4ef2-49dd-a9a9-73e793d2cfc1 · inbound

Synthetic Data Generation for Brain-Computer Interfaces: Overview, Benchmarking, and Future Directions cites this paper.

Synthetic Data Generation for Brain-Computer Interfaces: Overview, Benchmarking, and Future Directions EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-21T11:30:02.529742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-21T11:26:13.074820Z digest=sha256:f492a59c98288e427aef109282fefb2f943911cf9709528dce6281dcb94cc5c3

Observation 9e5afddf-4a36-4a55-bf41-b12ffe9cf78f · inbound

Let EEG Models Learn EEG cites this paper.

Let EEG Models Learn EEG EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T05:13:58.288743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-21T05:11:59.176663Z digest=sha256:98e2ead28522d776fde703aed4ba99f2845e367c63ba9520902dda5e19038e93

Observation 9ca7843f-4251-4390-b712-b82fe2992239 · inbound

Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection cites this paper.

Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:32:46.956146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T23:31:06.096388Z digest=sha256:71d2f6978bafc25cd35da0f046bebc98722dc0e612e5a7bd10b29c816c15f439