Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.08183.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:00:09.187959Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T21:16:12.133117Z
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 896a8833-c54e-432b-bc91-1dc8975a146a · inbound
Gender Fairness of Machine Learning Algorithms for Pain Detection cites this paper.
Gender Fairness of Machine Learning Algorithms for Pain Detection Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:00:09.187959Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b62289ae-3112-4882-8a10-222070f47073 · inbound
FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment cites this paper.
FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:16:12.136862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f5d4bf00-2420-4ed0-bda9-5dc1104a23ab · inbound
FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment cites this paper.
FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T15:32:58.120265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.