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Paper Citation Record · LEDGER

Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2401.15585.

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

pith.paper-citation-record.v1
2401.15585 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:21:33.884850Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T07:01:01.702275Z

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 ca103c0d-9517-4c5d-8bfe-86d7f765e647 · inbound

Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach cites this paper.

Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T12:21:33.884850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:21:33.884850Z digest=sha256:e13acec8295c5cce8e8eb1f2e166022315b6f0ad8c910a11510ad846acddb6e2

Observation 38e4e138-40cb-4a08-b72c-c7af3ca6a78e · inbound

BiasFilter: An Inference-Time Debiasing Framework for Large Language Models cites this paper.

BiasFilter: An Inference-Time Debiasing Framework for Large Language Models Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T13:21:28.290044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:21:28.290044Z digest=sha256:3bad32d3c927f4d3236feaaebe2fdebd5514ab0e8ed701507942ca2d2f389035

Observation 7200a673-5290-4466-87d8-7dc2f35e7f2b · inbound

More or Less Wrong: A Benchmark for Directional Bias in LLM Comparative Reasoning cites this paper.

More or Less Wrong: A Benchmark for Directional Bias in LLM Comparative Reasoning Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:04.917391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:59:04.917391Z digest=sha256:581ef32fc9de326fe10c8192107a6032a02d991d43144ae271e2511f7f14ad6c

Observation 2332d80b-b2c0-4c99-a2ea-c78009ee6401 · inbound

Guiding LLM Decision-Making with Fairness Reward Models cites this paper.

Guiding LLM Decision-Making with Fairness Reward Models Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T17:16:34.600067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:16:34.600067Z digest=sha256:157f677a65a53ea94dca2bdac7dd3dad0352b5e77cb47209888bf4a8ac681278

Observation afccb6a7-8455-472e-8560-75bd902704e0 · inbound

Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM cites this paper.

Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting

Reference 192

Resolution
unresolved
no resolver link, observed 2026-08-05T23:13:05.136314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:13:05.136314Z digest=sha256:ec96c59522ea12663e93191b9e0fee9417c88a8a6f533d922ebf427ad94bf017

Observation 6a076edf-6610-4ee9-ae13-9855612efb36 · inbound

Measuring Bias or Measuring the Task: Understanding the Brittle Nature of LLM Gender Biases cites this paper.

Measuring Bias or Measuring the Task: Understanding the Brittle Nature of LLM Gender Biases Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T10:16:43.181266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:16:43.181266Z digest=sha256:010c32ca288f7436d779e4e64b103fbce4214396ed9c287af3399fa53f67eda4

Observation e2528a84-987f-4eb0-826d-a00b4964d06c · inbound

Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation cites this paper.

Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-18T07:01:01.705975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T06:56:33.427852Z digest=sha256:338caca74047cda1bd9cc9516eec0f732f3224772bf4960e96da5bcad066a365

Observation 0de6ad43-7130-42c8-b5ac-4482c0d87c7e · inbound

SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures cites this paper.

SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:36:08.888614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-09T15:56:52.689233Z digest=sha256:2ad0fac982849bb74e18d465c3f223f13518182abbebe4a904a707dc0ad66aa7

Observation 342c7051-981b-49b3-9cff-387b9e7d1ac3 · inbound

Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution cites this paper.

Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T05:45:21.096810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T19:36:52.668048Z digest=sha256:0722cc80832b71a7ea21fcd72b6dea83e41a3023a2083f788d86fbe5a56add60