Paper Citation Record · LEDGER

Fairness and Bias Mitigation in Computer Vision: A Survey

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.02464.

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

pith.paper-citation-record.v1
2408.02464 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:04:18.436319Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:56:04.972946Z

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 184c7d52-8770-4906-ac61-42454dfd0c53 · inbound

Synthetic Human Action Video Data Generation with Pose Transfer cites this paper.

Synthetic Human Action Video Data Generation with Pose Transfer Fairness and Bias Mitigation in Computer Vision: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:16.573935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0afa999-cb81-450d-b410-40fd829baba1 · inbound

Context Matters: Vision-Based Depression Detection Comparing Classical and Deep Approaches cites this paper.

Context Matters: Vision-Based Depression Detection Comparing Classical and Deep Approaches Fairness and Bias Mitigation in Computer Vision: A Survey

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:56:04.976717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 84b6156f-3a4e-4ca5-b0b6-c49353eff07c · inbound

Toward Fair Speech Technologies: A Comprehensive Survey of Bias and Fairness in Speech AI cites this paper.

Toward Fair Speech Technologies: A Comprehensive Survey of Bias and Fairness in Speech AI Fairness and Bias Mitigation in Computer Vision: A Survey

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T05:50:28.421012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8300aa5a-67b6-45bf-9bd8-7d396fa39417 · inbound

CIFA: Contextual-Intersectional Fairness Auditing for Hidden Subgroup Discovery in Face Analysis cites this paper.

CIFA: Contextual-Intersectional Fairness Auditing for Hidden Subgroup Discovery in Face Analysis Fairness and Bias Mitigation in Computer Vision: A Survey

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T13:04:18.436319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.