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Paper Citation Record · LEDGER

A Survey on Fairness in Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2308.10149.

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

pith.paper-citation-record.v1
2308.10149 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:54:43.752405Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

21
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e5d3f8a5-cda4-476e-88c2-bfc64a6ecfcd · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents A Survey on Fairness in Large Language Models

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:21:39.879297Z

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.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:71c5114df50f85b1748d1c0c13833d102c74b85ba7543045b5e2d31a4c975787

Observation 49a798a2-cfae-4b9c-94fa-7b004fbec683 · inbound

Fairness Testing of Large Language Models in Role-Playing cites this paper.

Fairness Testing of Large Language Models in Role-Playing A Survey on Fairness in Large Language Models

Reference 33

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verified exact
arxiv_id, observed 2026-05-23T18:18:18.033050Z

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.

source=pdf_text observed=2026-05-23T18:17:48.254907Z digest=sha256:7d80a080d52b3bda801e7702f3483f5d0da63716492169e322710dd8d8f37a36

Observation 541bdd66-1de7-4db0-8dbb-80315a4ef860 · inbound

Hedging and Non-Affirmation: Quantifying LLM Alignment on Questions of Human Rights cites this paper.

Hedging and Non-Affirmation: Quantifying LLM Alignment on Questions of Human Rights A Survey on Fairness in Large Language Models

Reference 30

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verified exact
arxiv_id, observed 2026-05-23T02:25:19.199160Z

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.

source=pdf_text observed=2026-05-23T02:24:14.221512Z digest=sha256:541b35a7ddffc57d2f453d391ccef6f9df99d674eea89afc1bc5fa789df90c37

Observation 8dd1143f-cd9c-4293-ab0d-5af97472921d · inbound

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes cites this paper.

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes A Survey on Fairness in Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T21:54:43.752405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:54:43.752405Z digest=sha256:f8b23d1f4465580164f5353c16096a218bdc55d868e26a1101d000afef8ee7e6

Observation 782c069a-01c9-423f-b282-1f3988cd5499 · inbound

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances cites this paper.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances A Survey on Fairness in Large Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:46.196103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:46.196103Z digest=sha256:b38bfff0db563c434d604cc7c98eae25366093662e0708a0ad6e7228b537b588

Observation aaace4bd-4d61-4300-bf33-b588439ba6be · inbound

Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution cites this paper.

Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution A Survey on Fairness in Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T22:21:05.852133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:21:05.852133Z digest=sha256:a9cd42fc85e5391821464bf0e7e855b94e701d858ddf48c2db5f120deb8fa835

Observation 312d4016-cb87-4c9d-ac2c-501d33acd92b · inbound

Ethical Medical Image Synthesis cites this paper.

Ethical Medical Image Synthesis A Survey on Fairness in Large Language Models

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-05T21:11:15.076393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:11:15.076393Z digest=sha256:72ef5870cc4d00334929ee1d139371e335a02cc2a0b9a3049374f384bc438d78

Observation ad829a4b-a647-4d18-8388-c050ea96e3e4 · 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 A Survey on Fairness in Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T20:57:56.249363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:57:56.249363Z digest=sha256:443c25a41b11e4956a5b08656870e6003a077b57568b4d1563349bd0c4014adc

Observation aa2aaddd-0517-444e-9fbf-1fc69b19092c · inbound

Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs cites this paper.

Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs A Survey on Fairness in Large Language Models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:13.591393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:13.591393Z digest=sha256:670845853eff7a58626a867a43fbd8f848b0673f97624bde5cb9055951237d19

Observation 3a822e98-ea14-40d5-9203-c24a763e8740 · inbound

SCOPE: A Dataset of Stereotyped Prompts for Counterfactual Fairness Assessment of LLMs cites this paper.

SCOPE: A Dataset of Stereotyped Prompts for Counterfactual Fairness Assessment of LLMs A Survey on Fairness in Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:25:53.286777Z

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.

source=pdf_text observed=2026-05-10T19:50:18.096743Z digest=sha256:1e7dc88673278fa59549a71e39eac13814e959c9e4092b4c98d21b43e5b45a33

Observation 8c7378eb-0f88-4a34-9c22-03ffb108b356 · inbound

FairNVT: Improving Fairness via Noise Injection in Vision Transformers cites this paper.

FairNVT: Improving Fairness via Noise Injection in Vision Transformers A Survey on Fairness in Large Language Models

Reference 1

Resolution
malformed identifier
arxiv_id, observed 2026-05-10T09:18:32.263581Z

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.

source=pdf_text observed=2026-05-10T07:57:36.218765Z digest=sha256:cced679922b0d6392a721183849207b00a3cce4507bceb50e14fdffade550a5d

Observation 2b8a815f-13bf-4adf-b189-68c5d23c18b1 · inbound

Intersectional Fairness in Large Language Models cites this paper.

Intersectional Fairness in Large Language Models A Survey on Fairness in Large Language Models

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:01:06.654009Z

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.

source=pdf_text observed=2026-05-09T23:44:08.610255Z digest=sha256:d1f4f1467f0d49abd068e0529e66b5bd608f7c104c9d15a17ba6fc8797ec77a6

Observation 32d6609e-6a42-496b-8c85-c795a47b60a5 · inbound

Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows cites this paper.

Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows A Survey on Fairness in Large Language Models

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:26:25.276399Z

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.

source=pdf_text observed=2026-05-07T11:05:40.501451Z digest=sha256:8793c5ae29985a120c2224adc8ffc6ecf216fc515e8d19143ad38af04c4901e4

Observation 5ac3262f-140b-4812-8c27-089b96582ba4 · inbound

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs cites this paper.

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs A Survey on Fairness in Large Language Models

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:51:27.240259Z

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.

source=pdf_text observed=2026-05-12T04:50:17.399580Z digest=sha256:3d458b3cb3bc697217bb5676cc18babb953271b3508d6cd4fb87b774b849e82b

Observation c4706f21-2b8d-471a-8d0d-fa2df8e202d6 · inbound

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs cites this paper.

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs A Survey on Fairness in Large Language Models

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:22:29.080835Z

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.

source=pdf_text observed=2026-05-13T07:20:32.494840Z digest=sha256:249a6ae9856847b4c177102cfdeeba49e71c61a43c93da5f194ceb11e99baf73

Observation d6ee1e7b-eb22-4a51-b4b3-425c2e349d5f · inbound

More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing cites this paper.

More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing A Survey on Fairness in Large Language Models

Reference 342

Resolution
unresolved
no resolver link, observed 2026-08-02T14:21:02.031396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:21:02.031396Z digest=sha256:4332a4c80b198bb44b111353e2de21dbaf28c3ab42a835c63d37c72b80aa3f1c

Observation e83e8852-e2ce-405e-8cec-836f3a421f0b · inbound

Examining Agents' Bias Amplification versus Suppression in Multi-Agent Systems cites this paper.

Examining Agents' Bias Amplification versus Suppression in Multi-Agent Systems A Survey on Fairness in Large Language Models

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T12:33:24.622135Z

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.

source=pdf_text observed=2026-06-29T12:26:25.706966Z digest=sha256:13438cd6886da7f6224523d337322b880864c548529648370bdd35dd47b7c86a

Observation 31b43177-6462-4af3-a055-2dc5e3fcb950 · inbound

Pareto-Guided Teacher Alignment for Fair Personalized Text Generation cites this paper.

Pareto-Guided Teacher Alignment for Fair Personalized Text Generation A Survey on Fairness in Large Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:07:34.236524Z

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.

source=arxiv_source observed=2026-06-27T16:06:58.653836Z digest=sha256:8be6477de95d85c258df1a2979fa801865c443632c99dca60e36c3228532f6e8

Observation 1d8a2d58-33e7-46b0-9aaa-159693dcfd16 · inbound

The Wrong Kind of Right: Quantifying and Localizing Misfired Alignment in LLMs cites this paper.

The Wrong Kind of Right: Quantifying and Localizing Misfired Alignment in LLMs A Survey on Fairness in Large Language Models

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:39:16.997203Z

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.

source=arxiv_source observed=2026-06-26T21:04:21.704941Z digest=sha256:fce7f4f22614e99785ff159083de475564a51e9e236a8c4ce309d83e754699f2

Observation 589ad458-acde-4b07-b66c-15ed356d387d · inbound

Estimating Grammatical Gender Directions in Contextual Embeddings under Controlled and Natural Contexts cites this paper.

Estimating Grammatical Gender Directions in Contextual Embeddings under Controlled and Natural Contexts A Survey on Fairness in Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:14:18.133099Z

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.

source=pdf_text observed=2026-06-30T06:07:25.167096Z digest=sha256:75409d61b41381d17e9a1e4aaab06d1b14054432891b9d832b1ab0a0bc31ec8a

Observation 56c1ddf4-5dca-42d6-889e-69d9335f1246 · inbound

Whose fairness? Structural concentration in AI bias research cites this paper.

Whose fairness? Structural concentration in AI bias research A Survey on Fairness in Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-11T05:35:55.246993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T05:35:55.246993Z digest=sha256:b769e87391e9531665b483c2da50ff9820bf29f7b5ceb714220ae559d7fd2565

Observation 793b8e7a-f70d-4814-808b-7fa35c1ed34c · inbound

AISPA: User-Centric System Prompt Auditing for Large Language Model Applications cites this paper.

AISPA: User-Centric System Prompt Auditing for Large Language Model Applications A Survey on Fairness in Large Language Models

Reference 2025

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unresolved
no resolver link, observed 2026-07-31T02:04:06.762402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:04:06.762402Z digest=sha256:17d0eb2efd9e1ece2fcaf80444acf8b7147a8d296a64dbb9ba3d9ef8a39fa048