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Paper Citation Record · LEDGER

Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1912.01094.

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

pith.paper-citation-record.v1
1912.01094 v2

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:23:20.656241Z

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

14
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 97fd1de2-209e-4c09-a5fb-489dcc576c4c · inbound

CaTE Data Curation for Trustworthy AI cites this paper.

CaTE Data Curation for Trustworthy AI Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T18:23:20.656241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:23:20.656241Z digest=sha256:c8db455af239648f65874ddc2eb3dbfeb4c0e5e489eeb74c57128a7e160a0b97

Observation 34383949-5ccb-4ab8-b4ba-de7a40268e3e · inbound

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

Toward Calibrated, Fair, and accurate Deepfake Detection Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?

Reference 278

Resolution
verified exact
arxiv_id, observed 2026-06-28T07:11:45.411050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T07:05:18.026601Z digest=sha256:ef0d2f862b4d8a05f530e25d4d8d19208cc66afa64f7c83643ce78f23fd73873

Observation b17ad2dc-34d2-4c3f-8731-21ccbb99e079 · inbound

Algorithmic Approaches to Sequential Decision-Making and Social Epistemology cites this paper.

Algorithmic Approaches to Sequential Decision-Making and Social Epistemology Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T09:52:56.749556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:52:56.749556Z digest=sha256:d616322431c5d14ae95c313001d9af9163ad4b7b26135bbefc81c1fdf3ba93c3