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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 14 of 14 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 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:59:42.333634Z

measured 16 of 16 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 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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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

Outbound references

Observation 63a8f256-f928-4be8-9d4c-5d225e21ea02 · outbound

This paper cites Semantics derived automatically from language corpora contain human-like biases.

Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics Semantics derived automatically from language corpora contain human-like biases

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T15:59:42.270740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:59:42.270740Z digest=sha256:28f9f2cc18f30a00f8406702bc396e7e510cb6fdf6bf7193602262a2342f2b0e

Observation b641a349-8106-424f-9194-3f42a938432c · outbound

This paper cites M., Gebru, T., McMillan-Major, A., & Shmitchell, S.

Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics M., Gebru, T., McMillan-Major, A., & Shmitchell, S

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T15:59:42.277420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:59:42.277420Z digest=sha256:ae1c9953ad3f6ba4a9df7113b1004c8e7179aafe44a30385fbcb691c77f4efd2

Observation 2b4da846-6d0d-4265-897b-9ce32b4437ad · outbound

This paper cites Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.

Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T15:59:42.281991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:59:42.281991Z digest=sha256:c994219483b8cf65eddddeb1f97d06bd66c9fbec10817bce4dee0c8cec26004d

Observation ba2534b5-3abb-4b86-80ae-98a6c6705f68 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics On the Opportunities and Risks of Foundation Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T15:59:42.286757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:59:42.286757Z digest=sha256:5a794131b60f01a2fd9b8cf40d04e59a74a5b19dee1acac2c5a750d883a80ba4

Observation d193e119-937a-4232-b708-a40cf16fe397 · outbound

This paper cites an unresolved cited work.

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

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:59:42.597824Z

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.

source=pdf_text observed=2026-08-12T15:59:42.292384Z digest=sha256:761d35ba8a3dd7784e4590d67c7febf3187104ff85c06f46f5e8b07253d0d7dd

Observation 886e3888-09d7-48b3-ae82-70c498cf6ed0 · outbound

This paper cites Scaling Laws for Neural Language Models.

Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics Scaling Laws for Neural Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T15:59:42.296705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:59:42.296705Z digest=sha256:1236e5092570b21949fcd9e9bdaf68cbb85a4224b7ac0bdab3beee10d983115a

Observation 79bc3aef-20c0-4a7e-8eb4-5ffc60f0783c · outbound

This paper cites an unresolved cited work.

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

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:59:42.582082Z

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.

source=pdf_text observed=2026-08-12T15:59:42.301699Z digest=sha256:56e0bb4898fd16c6c0f097d7b79f7baef8c5758416d7f55d4bba80a6bbf0fe1c

Observation 19cc4295-a90e-4878-898c-39f1346c7d4e · outbound

This paper cites The Woman Worked as a Babysitter: On Biases in Language Generation.

Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics The Woman Worked as a Babysitter: On Biases in Language Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T15:59:42.305854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:59:42.305854Z digest=sha256:aa01be20ce6ad06e6ac4347b25b62392b4c59b12704685eb9a51be770fa3e1fb

Observation 3bcdaa06-4569-41d5-90e2-39cc13cc3aac · outbound

This paper cites an unresolved cited work.

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

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T15:59:42.311540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:59:42.311540Z digest=sha256:f709de372e12929c23219d9447e78b3d16b343b948309da3606a8eacc8dce097

Observation a5c97c3b-0f0b-49e0-aad6-53e12aeeb6d6 · outbound

This paper cites an unresolved cited work.

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

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:59:42.568556Z

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.

source=pdf_text observed=2026-08-12T15:59:42.317294Z digest=sha256:4366622882219fab950a292dbfc39238bb0fc6c8fb0190385ab4593b648de48a

Observation 82f7f4a0-f9bb-48d7-8bf5-fb1dd33a71a4 · outbound

This paper cites an unresolved cited work.

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

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T15:59:42.321477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:59:42.321477Z digest=sha256:d581ec313ecd8b916a006ddac8d7d2e956877285a8fc26b4af95abfd52d36ebd

Observation 9879c0ad-a12b-42c7-a272-69e19967f539 · outbound

This paper cites • Input: ‘Financial managers‘ • Output: ‘Financial manager oversees budget- ing and financial planning.‘.

Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics • Input: ‘Financial managers‘ • Output: ‘Financial manager oversees budget- ing and financial planning.‘

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:59:42.555838Z

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.

source=pdf_text observed=2026-08-12T15:59:42.325155Z digest=sha256:5638970f01bb482bdab059a6ec6957d3bf66a6a8a3ff67fd1f3b5bc956bb8b57

Observation def0ccab-13eb-40ca-bdf9-43690809a6d6 · outbound

This paper cites • Input: ‘Models, demonstrators, and product promoters‘ • Output: ‘Model showcases clothing and ac- cessories.‘.

Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics • Input: ‘Models, demonstrators, and product promoters‘ • Output: ‘Model showcases clothing and ac- cessories.‘

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:59:42.541654Z

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.

source=pdf_text observed=2026-08-12T15:59:42.329895Z digest=sha256:907126482bf2ef3a0e57f8e09202700d7c0f148ec7bcda1570dd75c72fe1f74f

Observation 753f4985-a4be-4883-8732-5d5d0854c638 · outbound

This paper cites an unresolved cited work.

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

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:59:42.526634Z

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.

source=pdf_text observed=2026-08-12T15:59:42.333634Z digest=sha256:cefff2f182179865c4c7cbbc586107b1ba5e3faa8790f192dbbd22ae56adf2bd

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=sha256:0733a19c115a2098e40fa316dcc37b70d003d8eac64cd5b78b83f5b0d988d002

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-01T08:36:27.998061Z digest=sha256:13f28a77ded1c730fd6069492bb440b6e3b6b283420bf6ed839b12e2241ddc08