Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:39:55.774574Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T07:46:46.032223Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 834bd224-b4a5-4897-9045-d8d600397ee4 · inbound
Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications Contrastive Learning for Fair Representations
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1edf600b-2105-4520-b2b5-5e2c7323f50a · inbound
An Attention-based Framework for Fair Contrastive Learning Contrastive Learning for Fair Representations
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ccf4f6c-d4f2-4745-a71c-7e2f154b8ff4 · inbound
Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking Contrastive Learning for Fair Representations
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df4b46ed-aa56-48c0-88cb-72005102bb5c · inbound
Who Needs Labels? Adapting Vision Foundation Models With the Metadata You Already Have Contrastive Learning for Fair Representations
Reference 49
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.