Pith. sign in

Paper Citation Record · LEDGER

Machine Learning Fairness for Depression Detection using EEG Data

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.18192.

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

pith.paper-citation-record.v1
2501.18192 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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:27:57.288112Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T23:06:52.951061Z

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 52e6a91d-a248-45c7-8213-4b071036f8c3 · inbound

FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA) cites this paper.

FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA) Machine Learning Fairness for Depression Detection using EEG Data

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T10:27:57.288112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:57.288112Z digest=sha256:ecf05967c7c33f7eac734de5320fb401ce1f3bd417af49bae64f419f68a708f4

Observation 802fe7f8-6ef7-48c7-8866-24b76c675df2 · inbound

Gender Fairness of Machine Learning Algorithms for Pain Detection cites this paper.

Gender Fairness of Machine Learning Algorithms for Pain Detection Machine Learning Fairness for Depression Detection using EEG Data

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T05:00:07.709318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:00:07.709318Z digest=sha256:8eb5dfcbc70c235ea13cf315cab780aaaa32c3bd0d57f448a23ad7c9e017747b

Observation 00f94ddd-fd99-4d12-a95e-2f5d505a27aa · inbound

AI Models for Depressive Disorder Detection and Diagnosis: A Review cites this paper.

AI Models for Depressive Disorder Detection and Diagnosis: A Review Machine Learning Fairness for Depression Detection using EEG Data

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-18T23:06:52.953040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T23:06:01.107830Z digest=sha256:db4fa9e4cd21441b0c88d44845c50b2e2ac0cbc2f62a4847a47c4bb7c30e47c6