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Paper Citation Record · LEDGER

From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.04434.

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

pith.paper-citation-record.v1
2407.04434 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:46:55.777749Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:21:10.417828Z

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 e18e53cd-2e3b-4015-892a-4bea82d6da4a · inbound

GeNRe: A French Gender-Neutral Rewriting System Using Collective Nouns cites this paper.

GeNRe: A French Gender-Neutral Rewriting System Using Collective Nouns From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:46:55.777749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:46:55.777749Z digest=sha256:f2489c6dab84077ebc6df0ee034a78f5e8f218aecb18d0f5db581a1c1da97a2f

Observation 275d5bdd-b728-445c-86b9-8ea65dceb804 · inbound

Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models cites this paper.

Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:21:10.482112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T22:19:50.180175Z digest=sha256:a714ccd14fd058a60fb40de1b16759f4e608dd4aed0303280b8a8bde1b83cfda