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Paper Citation Record · LEDGER

A Survey on Fairness in Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 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 32 of 32 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 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:17:07.264825Z

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

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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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:44ebdab7a260860cdead153fa121001a2b4e0b9af80f097c24b963c54eff5114

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T18:17:48.254907Z digest=sha256:02a134d281a3432496712260ca121eeff00f89663565a1f4857d49f431f4304a

Observation 96570d26-ba14-48a7-82e2-cda19f217b13 · inbound

Large Action Models: From Inception to Implementation cites this paper.

Large Action Models: From Inception to Implementation A Survey on Fairness in Large Language Models

Reference 36

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no resolver link, observed 2026-08-11T16:29:56.740673Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:29:56.740673Z digest=sha256:ab64960dc685b531a87758f49750c0fff075610c9d1016545928492f7d29d5ab

Observation c5622cf6-3177-4c58-84db-3053ab0fc394 · inbound

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy cites this paper.

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy A Survey on Fairness in Large Language Models

Reference 116

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no resolver link, observed 2026-08-10T20:05:12.349809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:05:12.349809Z digest=sha256:b694c542921f8aed8dabd4c47eb6a6502c9d44af9d8bf69beeb26587415e82e0

Observation f00c309e-9b6f-483d-a6d0-7da3bbd7c87f · inbound

LIBRA: Measuring Bias of Large Language Model from a Local Context cites this paper.

LIBRA: Measuring Bias of Large Language Model from a Local Context A Survey on Fairness in Large Language Models

Reference 14

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no resolver link, observed 2026-08-09T18:14:07.281300Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:14:07.281300Z digest=sha256:66f0df65f860c4d5c13c693665ac68f0b51be2baded93ebceb41fc9fd708a0df

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T02:24:14.221512Z digest=sha256:48cd106845f67d53b019b1ef0ed941a64ae7760a650813d660f5ff4d33071a18

Observation 409b987b-19a3-42f5-a77a-1d7e2f3d0b64 · inbound

Concept-Level Explainability for Auditing & Steering LLM Responses cites this paper.

Concept-Level Explainability for Auditing & Steering LLM Responses A Survey on Fairness in Large Language Models

Reference 39

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no resolver link, observed 2026-08-15T22:17:07.264825Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:17:07.264825Z digest=sha256:f8d427c92d8a989a92336119504e82f3bf868ed08966377bf3d53aa514ad9c34

Observation 7257b5b9-4503-45e1-8e13-4ad47fb0b72b · inbound

Phare: A Safety Probe for Large Language Models cites this paper.

Phare: A Safety Probe for Large Language Models A Survey on Fairness in Large Language Models

Reference 21

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no resolver link, observed 2026-08-15T20:58:22.851139Z

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source=pdf_text observed=2026-08-15T20:58:22.851139Z digest=sha256:e53bf96f18acf92dbfa9821749f280a46fc18fecb0065771458e21cac4855ee7

Observation 04535dbf-9c3e-46e0-ba63-7360885f3bd1 · inbound

Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs cites this paper.

Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs A Survey on Fairness in Large Language Models

Reference 20

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no resolver link, observed 2026-08-07T15:20:02.182984Z

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source=pdf_text observed=2026-08-07T15:20:02.182984Z digest=sha256:2b7aa5d4ac2069428df501ff0a15934cf1c85890b12c8538c49d667403791f85

Observation 93608062-31d4-4a35-8fbb-6efdfc1c72c9 · inbound

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs cites this paper.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs A Survey on Fairness in Large Language Models

Reference 48

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no resolver link, observed 2026-08-07T12:44:06.379726Z

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source=arxiv_source observed=2026-08-07T12:44:06.379726Z digest=sha256:dc4b877b83d3038d3cc7d30687be827ba0247e40d3f7872b4f060f693725d04e

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:54:43.752405Z digest=sha256:39c9a23146eecc37535e9983658fa1b23ede816bf0b9b23443de10600cad8378

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

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

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source=arxiv_source observed=2026-08-06T19:47:46.196103Z digest=sha256:39a1c691bd1354c946b773f2b9853c0e12e7becd41f3e1798fb0cbd737390853

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:21:05.852133Z digest=sha256:7d3871b62461d0330ff1f0f7c818088a17e36517d7b68134636afa4c2894e594

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:11:15.076393Z digest=sha256:e846d99331511c369b81bcd33bd409e82737adf28be75198042e02da16fb6212

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:57:56.249363Z digest=sha256:261e07ce0259061ad5f0b142c8c2a3db7ef9bc1d3c30353466c68c2b57048a0c

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:13.591393Z digest=sha256:8ba4520c55252956a24f1e2540ff7b6cb567232d0e5fc09c0525e0b7d23c3938

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T19:50:18.096743Z digest=sha256:eec4d803040597009e65b806ac61ddbea5a084e9d67f5dd97e48bf33a12600ed

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T07:57:36.218765Z digest=sha256:276268c20e11d5ac3a1713d7c56390efa7e8dad73ed6ac51c5bd6caad3973613

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T23:44:08.610255Z digest=sha256:178c6d010f1f1395d23a431494432188a518b46d9b72399d2205df1169ce94b2

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T11:05:40.501451Z digest=sha256:d63f4fcecd17f106cac8ba65841ecd7aa34d60cf8e93dabb89b5eafbfe4f54bf

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T04:50:17.399580Z digest=sha256:21b1663314c3b31517496a333567833d51164d03bff0832a71a8562e9e5c08a5

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T07:20:32.494840Z digest=sha256:c754c3596692076a6f255cedec9a0f31bb916e2dd14e9c1c54528ac5e2f8013d

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:21:02.031396Z digest=sha256:7fca60b41ab77869c242f039dda190a055e3976537e0bd752b895ecee737b892

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T12:26:25.706966Z digest=sha256:7f374318c03e47b2370392f4ae8b8fcbaae655d485713c9840b1d56d99ef0115

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

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T16:06:58.653836Z digest=sha256:cac0d8b3fe051b73d81bb503642a96efd52ebdc51e3113bb8a9c86af6072ffc3

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

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-26T21:04:21.704941Z digest=sha256:12940508aeeb2cb5d1eed1da12a0162a2832741fbc37ba571ad4a1f274ae780c

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T06:07:25.167096Z digest=sha256:db3d4cb4e8ae3f96a72e4abc37a4b9ef0bc261a8ab676cef68eaa9d9174ce05c

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T05:35:55.246993Z digest=sha256:e761f8b7165a3057281196ddd65cacac8042286e467232fe0fed765d62f79a1b

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:04:06.762402Z digest=sha256:f7dab16413adcbcf20b5b6e01da227c33e42df56ccff0f6338b0e5fb3fc77733

Observation bd763c52-b1ff-4e64-83b3-8a84425a133c · inbound

Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques cites this paper.

Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques A Survey on Fairness in Large Language Models

Reference 141

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no resolver link, observed 2026-08-10T04:20:37.820556Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:20:37.820556Z digest=sha256:20d857816285d2f52c7014cccb2f44059979ae049afa5f9613d091581c0841b3

Observation 6d711d9f-b49b-400a-a68a-65700fdb202c · inbound

Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques cites this paper.

Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques A Survey on Fairness in Large Language Models

Reference 141

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no resolver link, observed 2026-08-11T04:19:39.348969Z

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source=arxiv_source observed=2026-08-11T04:19:39.348969Z digest=sha256:35db33ae0659c31bd9b219a6fc3af6b858aebcbb7819f9ef7d4edb7a0951e50d

Observation 66d9afd7-4e2c-4f23-a2d6-70622629767e · inbound

Fair on the Surface? Benchmarking Hidden-Output Fairness Gaps in LLM Recommenders cites this paper.

Fair on the Surface? Benchmarking Hidden-Output Fairness Gaps in LLM Recommenders A Survey on Fairness in Large Language Models

Reference 9

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no resolver link, observed 2026-08-12T00:16:04.334752Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:16:04.334752Z digest=sha256:c78a628da29849e28562c321bb14e4967f59aa932fb589b0a46cf3f66d28bb01