Paper Citation Record · LEDGER

Detection, Classification, and Mitigation of Gender Bias in Large Language Models

As of 21 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2506.12527.

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

pith.paper-citation-record.v1
2506.12527 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:51:07.580824Z

measured 36 of 36 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:39:07.994524Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T10:39:09.120119Z

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy10
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc8fe554-bd07-4161-9b7f-d951b027b886 · outbound

This paper cites BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.406507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c284a5ca-aec7-40a1-958c-3281cb7a3a9d · outbound

This paper cites IEEE access8, 142532–142542 (2020).

Detection, Classification, and Mitigation of Gender Bias in Large Language Models IEEE access8, 142532–142542 (2020)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:09.283927Z

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.

Observation 0b7bbeaa-ec15-4413-a54a-48560075a180 · outbound

This paper cites Artery Research26(Suppl 1), S5–S6 (2020).

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Artery Research26(Suppl 1), S5–S6 (2020)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:09.146943Z

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.

Observation 4dcd8f65-7f3a-4792-bc3a-659d9dedbd49 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:09.054336Z

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.

Observation f6655f87-de17-46d8-8422-8eabe9ba459b · outbound

This paper cites DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.426874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 205c02a5-b270-4525-8725-ed7c1f04f792 · outbound

This paper cites Learnable Privacy Neurons Localization in Language Models.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Learnable Privacy Neurons Localization in Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.431717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 058802e4-838c-4604-90f1-f4fec3b25a34 · outbound

This paper cites In: Findings of the Associa- tion for Computational Linguistics: NAACL 2025.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models In: Findings of the Associa- tion for Computational Linguistics: NAACL 2025

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:08.915662Z

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.

Observation 600b18e4-9a31-4dc3-ac9d-7e9468673dcf · outbound

This paper cites Advances in Neural Information Processing Systems36, 14516–14539 (2023).

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Advances in Neural Information Processing Systems36, 14516–14539 (2023)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:08.807116Z

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.

Observation cae150c5-d45d-4bf1-a685-e71043167130 · outbound

This paper cites PAD: Personalized Alignment of LLMs at Decoding-Time.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models PAD: Personalized Alignment of LLMs at Decoding-Time

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.446347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f94bc02-7923-4382-b861-49072d68835a · outbound

This paper cites Reinforcement Learning from Multi-role Debates as Feedback for Bias Mitigation in LLMs.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Reinforcement Learning from Multi-role Debates as Feedback for Bias Mitigation in LLMs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.451148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d88477e0-4849-47b7-a805-6ff5b5c47cbd · outbound

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

Detection, Classification, and Mitigation of Gender Bias in Large Language Models BiasFilter: An Inference-Time Debiasing Framework for Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.455771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e6e4fad-86b4-4404-9cfc-98308776be27 · outbound

This paper cites In: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models In: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:08.649467Z

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.

Observation 1b191495-ef40-4e73-b6e9-507e54af58d9 · outbound

This paper cites Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.465349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9a60221-7332-4a7e-a574-869ab9f38f63 · outbound

This paper cites Cognitive Bias in Decision-Making with LLMs.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Cognitive Bias in Decision-Making with LLMs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.469900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a507d76c-e92a-430c-bd82-f1e0c149a058 · outbound

This paper cites FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.474606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52aa5f18-a33b-4c63-8bdd-9763dcf2a5dc · outbound

This paper cites BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T00:51:07.966994Z

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.

Observation 68aec7d1-936d-48aa-b2bd-a51ad31bdf4d · outbound

This paper cites BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.484703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48a8d87b-1589-4700-9f7b-ed3a42d83579 · outbound

This paper cites Computational Linguistics50(3), 1097–1179 (2024).

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Computational Linguistics50(3), 1097–1179 (2024)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.489437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b2c8a3b-33b9-4c88-b7e8-89e3a9e22c3a · outbound

This paper cites Qwen2.5-Coder Technical Report.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Qwen2.5-Coder Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.493587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 318301b3-8be8-4e7e-b575-3c42b9149266 · outbound

This paper cites Advances in neural information processing systems35, 22199–22213 (2022).

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Advances in neural information processing systems35, 22199–22213 (2022)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.497904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79e021da-7946-418c-b61c-10f87d625012 · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.502991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 003e7833-7a4e-4f5d-9beb-b36f26f2e32f · outbound

This paper cites From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.507835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b200a2c-384b-49ae-89d0-0832808ec693 · outbound

This paper cites FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.518316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0c0b6da-98a0-4ee9-9873-ef1ee34a2bb1 · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.523583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24d1370e-f1cf-4ca6-b98f-ad24724507fa · outbound

This paper cites CoRR (2024).

Detection, Classification, and Mitigation of Gender Bias in Large Language Models CoRR (2024)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:08.506442Z

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.

Observation acdd860e-fe30-4282-b2a0-d7ce321d6e06 · outbound

This paper cites Advances in neural information processing sys- tems35, 27730–27744 (2022).

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Advances in neural information processing sys- tems35, 27730–27744 (2022)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.535876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c5d2806-9334-46c9-b370-c3d122d61cdd · outbound

This paper cites From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.540906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 831724a9-0516-4622-a627-8593856a3d90 · outbound

This paper cites Advances in Neural Information Processing Systems36, 53728–53741 (2023).

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Advances in Neural Information Processing Systems36, 53728–53741 (2023)

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.548024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b9764d1-3ec1-4e31-ab63-ce434583ccc5 · outbound

This paper cites arXiv e-prints pp.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models arXiv e-prints pp

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:08.361585Z

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.

Observation e32eef8b-02b1-4268-aae1-a3422681d295 · outbound

This paper cites Advances in Neural Information Process- ing Systems35, 35811–35824 (2022).

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Advances in Neural Information Process- ing Systems35, 35811–35824 (2022)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:08.259958Z

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.

Observation fec2ce65-d79f-48ff-8a6d-e9c9d3737e2c · outbound

This paper cites Advances in neural information processing systems35, 24824–24837 (2022).

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Advances in neural information processing systems35, 24824–24837 (2022)

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.562521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32c43293-e75a-462e-be57-9541a0712b85 · outbound

This paper cites Baichuan 2: Open Large-scale Language Models.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Baichuan 2: Open Large-scale Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.566649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7256994b-28c5-46cd-b82a-2a05e830cecd · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:08.150666Z

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.

Observation 4dc118e7-9818-4cb7-a7ec-16b5f04f11b0 · outbound

This paper cites CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.576240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43128e1e-1a4a-465c-8637-53311e22b796 · outbound

This paper cites Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T00:51:07.628734Z

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.

Pith citing papers

Observation 44729fd4-f916-4422-b643-5b7610b2470d · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Detection, Classification, and Mitigation of Gender Bias in Large Language Models

Reference 207

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:39:09.124437Z

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.