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Paper Citation Record · LEDGER

Disclosure and Mitigation of Gender Bias in LLMs

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.11190.

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

pith.paper-citation-record.v1
2402.11190 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:21:05.169992Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:02:46.594391Z

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 99cb2548-d236-413c-928f-92e4569b39bd · inbound

A Survey on LLM Inference-Time Self-Improvement cites this paper.

A Survey on LLM Inference-Time Self-Improvement Disclosure and Mitigation of Gender Bias in LLMs

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T12:21:05.169992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:21:05.169992Z digest=sha256:0b344a7d2dcf9c77b5bcb093403d279d3b009cf89563c82319675e2c52df365f

Observation c53f09e7-b6fb-4bf8-948a-542f0131925c · inbound

DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis cites this paper.

DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis Disclosure and Mitigation of Gender Bias in LLMs

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:41.895329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:41.895329Z digest=sha256:560e35f3ebe93cd3eddedd93399c2dc3ad6aabc41900f1d1c3f7b103af77d037

Observation 0853d23c-38b0-476a-89dd-2fdcb99cfa6f · inbound

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models cites this paper.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Disclosure and Mitigation of Gender Bias in LLMs

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:12.962995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:12.962995Z digest=sha256:341b457734f6350496ad30b0e0952f34652d20fa00fda8396011b71425e65b99

Observation 8157e21b-4b7c-4a7f-a39b-ebe9562fb848 · inbound

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs cites this paper.

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs Disclosure and Mitigation of Gender Bias in LLMs

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:19.415481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:19.415481Z digest=sha256:798a98489b06f8c8cfc5d7290400cec7b26f2b10685b77a6c957a95be5598d12

Observation a8b46a31-0180-4692-9439-1e938cb7a5c3 · inbound

Overview of the NLPCC 2025 Shared Task: Gender Bias Mitigation Challenge cites this paper.

Overview of the NLPCC 2025 Shared Task: Gender Bias Mitigation Challenge Disclosure and Mitigation of Gender Bias in LLMs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T00:50:56.057286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:56.057286Z digest=sha256:f97c6cf162bdb2c204c8c62994305653edab24691cdea358a3c92c61ae63f8c0

Observation a9e3678b-4cdf-472a-9609-8dc179339c84 · inbound

Gender Inclusivity Fairness Index (GIFI): A Multilevel Framework for Evaluating Gender Diversity in Large Language Models cites this paper.

Gender Inclusivity Fairness Index (GIFI): A Multilevel Framework for Evaluating Gender Diversity in Large Language Models Disclosure and Mitigation of Gender Bias in LLMs

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:58.058321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:59:58.058321Z digest=sha256:f0cc8addde366264e8a8e4797a7498ea0f31d8892b3ce368efa03f4914c7f60e

Observation f1f0a0c1-cedd-4bfb-a948-114f1bc6562a · 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 Disclosure and Mitigation of Gender Bias in LLMs

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T10:16:43.138825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:16:43.138825Z digest=sha256:e32c99d92ad842811ce87459a791572d20a3fdfddb1b1c0e488f5231e581e70f

Observation 5ce9cee3-824c-4b20-99c6-def5d04e8d37 · inbound

Patching LLM Like Software: A Lightweight Method for Improving Safety Policy in Large Language Models cites this paper.

Patching LLM Like Software: A Lightweight Method for Improving Safety Policy in Large Language Models Disclosure and Mitigation of Gender Bias in LLMs

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:28.501024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T23:24:40.372674Z digest=sha256:a334e0ee100c15048eb3925f56f6360412c7d88146841496fb7a0d460ba86cde

Observation 490ad397-6d8a-4abf-b179-f5ec35d4c828 · inbound

DeFrame: Debiasing Large Language Models Against Framing Effects cites this paper.

DeFrame: Debiasing Large Language Models Against Framing Effects Disclosure and Mitigation of Gender Bias in LLMs

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T04:43:42.239692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:43:42.239692Z digest=sha256:6054f61ef49fbb5d96d57035e033b49879fe975deeea5d49ccdd9a0a16dcd9ac

Observation 064c96d7-8c2e-4275-ae01-41b72e181065 · inbound

Neuron-Level Interventions for Gendered and Gender-Neutral Generation in Language Models cites this paper.

Neuron-Level Interventions for Gendered and Gender-Neutral Generation in Language Models Disclosure and Mitigation of Gender Bias in LLMs

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:02:46.596063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:30.529144Z digest=sha256:c6b6f9f1ba5b0de3cf1cdb916f95f8c6052d38e5dea3ea7d1ffaa6598f0479a9

Observation 982d0cb8-a892-45dd-8e38-b04c07f1135a · inbound

Unequal Verdicts: Investigating Gender Bias in LLM-Based Fake News Detection cites this paper.

Unequal Verdicts: Investigating Gender Bias in LLM-Based Fake News Detection Disclosure and Mitigation of Gender Bias in LLMs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T15:51:34.787917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:51:34.787917Z digest=sha256:15be9b0d42d75541676b90bfe76b7d192257f1b8cec588aa3cff2e1c00b1c33e