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Paper Citation Record · LEDGER

Contrastive Learning for Fair Representations

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2109.10645.

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

pith.paper-citation-record.v1
2109.10645 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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:39:55.774574Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:46:46.032223Z

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 834bd224-b4a5-4897-9045-d8d600397ee4 · 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 Contrastive Learning for Fair Representations

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T19:39:55.774574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:39:55.774574Z digest=sha256:140983443aa275b8c0728b4866d095a7cd77add1beb02c53247fa0748f340008

Observation 1edf600b-2105-4520-b2b5-5e2c7323f50a · inbound

An Attention-based Framework for Fair Contrastive Learning cites this paper.

An Attention-based Framework for Fair Contrastive Learning Contrastive Learning for Fair Representations

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T15:01:41.183024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:01:41.183024Z digest=sha256:efce5f8aa926063c819537379cdabd632a60503ed910aed1d9b089f21a069641

Observation 7ccf4f6c-d4f2-4745-a71c-7e2f154b8ff4 · inbound

Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking cites this paper.

Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking Contrastive Learning for Fair Representations

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:40.046956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:40.046956Z digest=sha256:8a4707a8a7edfb7b3d40e57875cb732179f23a738cc33605c762ecdb298aa053

Observation df4b46ed-aa56-48c0-88cb-72005102bb5c · inbound

Who Needs Labels? Adapting Vision Foundation Models With the Metadata You Already Have cites this paper.

Who Needs Labels? Adapting Vision Foundation Models With the Metadata You Already Have Contrastive Learning for Fair Representations

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:46:46.033712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T06:43:39.317414Z digest=sha256:a77e585ac3c8e38bf6036bbcb5dd19902d4c160213570178c39e3370e67394e8