Paper Citation Record · LEDGER

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases

As of 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2501.03112.

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

pith.paper-citation-record.v1
2501.03112 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:56:29.947321Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy8
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4c9fda61-dc49-401a-9e11-4c24594b01e9 · outbound

This paper cites RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.645946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a8cf0d2-c30b-4544-9dd5-fd1948583f4b · outbound

This paper cites Unmasking contextual stereotypes: Measuring and mitigating bert's gender bias.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Unmasking contextual stereotypes: Measuring and mitigating bert's gender bias

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:31.073526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cad1ae51-b69d-4b53-b338-f53e74001943 · outbound

This paper cites AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.659976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4ae09c9-1c15-4ea5-9dd0-9ffc067525ce · outbound

This paper cites Bring Your Own Prompts: Use-Case-Specific Bias and Fairness Evaluation for LLMs.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Bring Your Own Prompts: Use-Case-Specific Bias and Fairness Evaluation for LLMs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.682192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7b08a19-fa73-42fe-9faa-a04f14db746f · outbound

This paper cites Measuring fairness with biased rulers: A comparative study on bias metrics for pre-trained language models.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Measuring fairness with biased rulers: A comparative study on bias metrics for pre-trained language models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.689412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ccbd285-ea54-4a27-aa4c-199f5cc41bc8 · outbound

This paper cites Bold: Dataset and metrics for measuring biases in open-ended language generation.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Bold: Dataset and metrics for measuring biases in open-ended language generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.696945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7e64131-58ca-4fd9-8ce2-1c141981ef97 · outbound

This paper cites WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.706110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a690209-2f9a-48e4-bd28-6d01caf4ec52 · outbound

This paper cites Bias and Fairness in Large Language Models: A Survey.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Bias and Fairness in Large Language Models: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.713205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bdd822a-57a9-4424-b93d-41a57a1ebc84 · outbound

This paper cites A framework for few-shot language model evaluation, 07 2024.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases A framework for few-shot language model evaluation, 07 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.724103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5565d9f3-385c-4908-9b50-741e18d0bd7a · outbound

This paper cites an unresolved cited work.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.730905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00efa17b-4fdc-406d-b8ca-a9836e3f6977 · outbound

This paper cites Intrinsic Bias Metrics Do Not Correlate with Application Bias.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Intrinsic Bias Metrics Do Not Correlate with Application Bias

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.739223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97821cb3-e1e0-47f9-a9b7-3a3469659a34 · outbound

This paper cites Reducing Sentiment Bias in Language Models via Counterfactual Evaluation.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.746666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2119278-9c00-4249-a600-99afeee24c86 · outbound

This paper cites TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.752606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68680030-ec2d-4e23-8e31-0b53ccdcf196 · outbound

This paper cites an unresolved cited work.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.758598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52e182ca-f00b-4c40-93d4-9c2f3d14b018 · outbound

This paper cites Github - huggingface/evaluate: Evaluate: A library for easily evaluating machine learning models and datasets., 2022.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Github - huggingface/evaluate: Evaluate: A library for easily evaluating machine learning models and datasets., 2022

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:31.005615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8cf5299e-17f9-466f-a770-c3dd834d990a · outbound

This paper cites Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.771119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ac66915-078e-400a-9b3e-3fce3a818d18 · outbound

This paper cites Grep-biasir: A dataset for investigating gender representation bias in information retrieval results.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Grep-biasir: A dataset for investigating gender representation bias in information retrieval results

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.781277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6891c092-a895-4fd4-8ea7-1a7739c0315f · outbound

This paper cites Collecting a large-scale gender bias dataset for coreference resolution and machine translation, 2021.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Collecting a large-scale gender bias dataset for coreference resolution and machine translation, 2021

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:30.982097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e3adfad6-cde4-4695-b635-57663b786b73 · outbound

This paper cites UNQOVER ing stereotyping biases via underspecified questions.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases UNQOVER ing stereotyping biases via underspecified questions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.794081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7e3189a-48ed-4eda-8eb0-f730cbd65023 · outbound

This paper cites Holistic Evaluation of Language Models.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Holistic Evaluation of Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.802738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89d26502-b61d-4007-93fa-428b87b9dd57 · outbound

This paper cites Stereoset: Measuring stereotypical bias in pretrained language models, 2020.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Stereoset: Measuring stereotypical bias in pretrained language models, 2020

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:30.961503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 18cd6dcc-ee37-4e1e-aa1a-2a595e4a6a10 · outbound

This paper cites an unresolved cited work.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:56:30.941552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe8eae3e-1ac9-4348-8c14-3c81d75e7f9b · outbound

This paper cites LangTest: A comprehensive evaluation library for custom LLM and NLP models.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases LangTest: A comprehensive evaluation library for custom LLM and NLP models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.830327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0107dff-e375-4869-8871-434c589edeab · outbound

This paper cites HONEST : Measuring hurtful sentence completion in language models.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases HONEST : Measuring hurtful sentence completion in language models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.838988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9f01f4c-772b-44fb-8dbe-3fffea2c6aaa · outbound

This paper cites BBQ : A hand-built bias benchmark for question answering.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases BBQ : A hand-built bias benchmark for question answering

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.844765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 715ad8aa-5dfd-4830-97f4-399bde5a72f1 · outbound

This paper cites Perturbation Augmentation for Fairer NLP.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Perturbation Augmentation for Fairer NLP

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.850756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fd43837-e6b2-44a1-8925-a1096084c25c · outbound

This paper cites Gender bias in coreference resolution.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Gender bias in coreference resolution

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:30.921954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3945aa4d-f4e7-4e0e-8665-948ad43b9c7d · outbound

This paper cites Aequitas: A Bias and Fairness Audit Toolkit.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Aequitas: A Bias and Fairness Audit Toolkit

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.865472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c129e532-98a2-453f-8f25-817e4d59fbd4 · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.872726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 792ff61a-c51c-4c07-bf78-5924640d5ed0 · outbound

This paper cites GitHub - tensorflow/fairness-indicators: Tensorflow's Fairness Evaluation and Visualization Toolkit , 2020.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases GitHub - tensorflow/fairness-indicators: Tensorflow's Fairness Evaluation and Visualization Toolkit , 2020

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:30.901552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a9528359-e4ba-4398-af87-d4c757b74e80 · outbound

This paper cites LiFT : A scalable framework for measuring fairness in ml applications.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases LiFT : A scalable framework for measuring fairness in ml applications

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:30.878757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f61ec470-37ac-4b88-ab3e-a865ba2cf371 · outbound

This paper cites Decodingtrust: A comprehensive assessment of trustworthiness in gpt models.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Decodingtrust: A comprehensive assessment of trustworthiness in gpt models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.895025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8907c67-a482-424d-afb0-4518a25e16f5 · outbound

This paper cites Mind the GAP : A balanced corpus of gendered ambiguous pronouns.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Mind the GAP : A balanced corpus of gendered ambiguous pronouns

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.902568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47b071bd-64af-47a3-add0-692071f394ea · outbound

This paper cites Fairlearn: Assessing and Improving Fairness of AI Systems.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Fairlearn: Assessing and Improving Fairness of AI Systems

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:30.842039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9f95aa82-3cc5-4939-b64e-b9ecb9a5182d · outbound

This paper cites The What-If Tool: Interactive Probing of Machine Learning Models.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases The What-If Tool: Interactive Probing of Machine Learning Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.915961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dfe604c-d1e4-4e6f-8dac-f54b617b2dce · outbound

This paper cites Towards Auditing Large Language Models: Improving Text-based Stereotype Detection.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Towards Auditing Large Language Models: Improving Text-based Stereotype Detection

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.929671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c395c50-cdcf-4224-aa1f-9bf090041aaf · outbound

This paper cites Is chatgpt fair for recommendation? evaluating fairness in large language model recommendation.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Is chatgpt fair for recommendation? evaluating fairness in large language model recommendation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.938931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84a317fc-c196-4ab8-bdb7-09fb59ce67ea · outbound

This paper cites Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:29.947321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.