Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Disclosure and Mitigation of Gender Bias in LLMs
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.11190.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:41.895329Z
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 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.
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.
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.
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.
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.
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.
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 2026-08-07T06:34:17.273281+00:00.
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.
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 2026-08-07T06:34:17.273281+00:00.
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.