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Paper Citation Record · LEDGER

Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.04913.

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

pith.paper-citation-record.v1
2203.04913 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:06:35.052304Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6e83a6bd-f6e2-4513-936b-3f38800541bb · inbound

Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation cites this paper.

Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T15:06:35.052304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:06:35.052304Z digest=sha256:f37579d7e03b813b135eef92a91a4c5e71757d6d87b60dd75235c1bf3dcdb162

Observation 2ada9b15-a2da-4a9c-a342-ed4e93130f32 · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-06-28T07:11:45.305238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T07:05:18.026601Z digest=sha256:fd139ba18c555b63e5e735caf868139dbc9253763e51e2b6878eb9225e1c8a4d