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Paper Citation Record · LEDGER

Gender bias and stereotypes in Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.14921.

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

pith.paper-citation-record.v1
2308.14921 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:28:17.344590Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:05:45.104632Z

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 77ebe3e1-674e-48f5-bf4e-42b5aad306b9 · inbound

Exploring Gender Bias Beyond Occupational Titles cites this paper.

Exploring Gender Bias Beyond Occupational Titles Gender bias and stereotypes in Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T20:28:17.344590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:28:17.344590Z digest=sha256:5bde1c7770b29bec29a8d6de551dc69ba2c3b347f55710dfae0085f0d6b958d5

Observation 11a9dfcf-0974-4110-a152-c75bec7a5659 · inbound

Vision-Language Models display a strong gender bias cites this paper.

Vision-Language Models display a strong gender bias Gender bias and stereotypes in Large Language Models

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:05:45.144233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:05:43.606755Z digest=sha256:4c41ab99ebf134c1f60c42583d27e1fd3476c325c9c13dd1d9ee995063d56ec5