Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.09688.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:36.855101Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:29:53.203629Z
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 fee51910-2c68-4997-8c27-a32679a71301 · inbound
Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking cites this paper.
Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:19:36.855101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50d5de30-db0b-42f4-9cfd-5e74a3d5b90f · inbound
Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models cites this paper.
Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:29:53.269099Z
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.