Paper Citation Record · LEDGER

Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2010.14534.

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

pith.paper-citation-record.v1
2010.14534 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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:42:39.906648Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:55:50.824869Z

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 de289345-58cd-474c-9372-8419b0d28936 · inbound

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:55:50.827760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e9b5af71-7ffd-4e12-bd04-a1ac6197b98e · inbound

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data cites this paper.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T20:42:39.906648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42732806-255c-4969-84d7-c4e2c9567c64 · inbound

Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution cites this paper.

Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T22:21:05.703401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76b2ca99-80e9-43e1-b550-fcd7ae32fb82 · inbound

A Case Study of Balanced Query Recommendation on Wikipedia cites this paper.

A Case Study of Balanced Query Recommendation on Wikipedia Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:51.026500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.