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Paper Citation Record · LEDGER

Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.13738.

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

pith.paper-citation-record.v1
2411.13738 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 2026-08-05T20:57:56.227749Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9f7027d7-2d3b-4f5c-a9c4-7e87ad187de0 · inbound

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories cites this paper.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T20:57:56.227749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:57:56.227749Z digest=sha256:05dd4341b36291f975572ab5bf10f79f9bfde3224cbc8ee38a25e70f03587316

Observation b7432003-6df5-4fad-81dc-2711bc112c9d · inbound

Training Large Language Models for Self-Explanation Faithfulness cites this paper.

Training Large Language Models for Self-Explanation Faithfulness Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics

Reference 113

Resolution
verified exact
local_arxiv, observed 2026-08-01T08:38:35.326771Z

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=arxiv_source observed=2026-08-01T08:36:27.998061Z digest=sha256:b1c250bd15a2ae204d543028d70f3b926813fbc58cfe124ebeb7a7d751a08204