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Paper Citation Record · LEDGER

Wasserstein Fair Classification

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1907.12059.

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

pith.paper-citation-record.v1
1907.12059 v1

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:30:32.853117Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-13T00:16:21.800782Z

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 cc32de2b-7f1b-462e-b36b-bb0edeb51ef6 · inbound

Fairness in Deep Learning: A Computational Perspective cites this paper.

Fairness in Deep Learning: A Computational Perspective Wasserstein Fair Classification

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T11:30:32.853117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:30:32.853117Z digest=sha256:220d7f6ae40d73f45294140a18d2daed891336eb55261b89854c90155bf8870f

Observation 651eecdb-0a71-4c80-9dec-1813f34ca01a · inbound

Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications cites this paper.

Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications Wasserstein Fair Classification

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-12T19:39:56.043964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T19:39:55.742754Z digest=sha256:2178d6d68ce91110b05fc9392515ff6a6409fa072965d12299ddd2247ee3c32b