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Paper Citation Record · LEDGER

Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2305.14456.

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

pith.paper-citation-record.v1
2305.14456 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 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 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:15:28.360877Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:19:03.277562Z

Reference resolution

0 of 0 outbound references displayed

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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 9a7a3b4e-3edd-4f98-9ff9-8d34fd19cfc2 · inbound

Fantastic Biases (What are They) and Where to Find Them cites this paper.

Fantastic Biases (What are They) and Where to Find Them Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 35

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no resolver link, observed 2026-08-12T14:37:23.000172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:37:23.000172Z digest=sha256:050252ce34b672f28e883c6453e6db7becf2f1b7ea5c51fac10a7bbbd5139396

Observation a167dded-3066-4b2a-821f-27a7a2c7705d · inbound

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation cites this paper.

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 67

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no resolver link, observed 2026-08-11T22:37:55.484734Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:37:55.484734Z digest=sha256:e6e2136ba2fbff04bcaf79df70bba336a0d5073f15d7c86c9ff37333aae5a551

Observation c64fcc9b-0a1f-4362-af2c-b6aa149af626 · inbound

From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents cites this paper.

From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 67

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no resolver link, observed 2026-08-11T18:27:26.300431Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:27:26.300431Z digest=sha256:0196ff9351babfc92a621cf7ba5311a50b8aed38fce0ce4b669b75070e124ab5

Observation 9bf77587-3cbe-43b3-b243-066cf4fd118f · inbound

What does AI consider praiseworthy? cites this paper.

What does AI consider praiseworthy? Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 2023

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no resolver link, observed 2026-08-12T11:14:53.945178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:14:53.945178Z digest=sha256:07aa8065e8a9305bbe06d6e2b7e4c7ce4af3361f0591fd8dd3dae2b13822939d

Observation 2a993553-088a-437d-a1ae-801ee1630b6c · inbound

One world, one opinion? The superstar effect in LLM responses cites this paper.

One world, one opinion? The superstar effect in LLM responses Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 11

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no resolver link, observed 2026-08-11T16:12:33.338776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:12:33.338776Z digest=sha256:dddeea3f4c1a59f848c975296755314928f0d872e1907861eddea8753179e39b

Observation 1250e1f7-b149-4e6c-97ac-453e1ff5d97a · inbound

Generative AI regulation can learn from social media regulation cites this paper.

Generative AI regulation can learn from social media regulation Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 11

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no resolver link, observed 2026-08-11T15:04:59.583998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:04:59.583998Z digest=sha256:45709bcfb61999963b45f63a6c457d8de4bd74babeb18ed1d37478525eb75bac

Observation 0500e4bf-17dd-4fc8-8a78-95833887b81b · inbound

Whose Morality Do They Speak? Unraveling Cultural Bias in Multilingual Language Models cites this paper.

Whose Morality Do They Speak? Unraveling Cultural Bias in Multilingual Language Models Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 2007

Resolution
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no resolver link, observed 2026-08-11T04:27:19.528347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:27:19.528347Z digest=sha256:9a73c3ae2aacc688d02f95889bd04416ceec1685fc97d4eb91d94522c7aaf757

Observation 5b754dcc-8dbc-4e5d-9db8-9a537818e986 · inbound

Attributing Culture-Conditioned Generations to Pretraining Corpora cites this paper.

Attributing Culture-Conditioned Generations to Pretraining Corpora Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 14

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verified exact
arxiv_id, observed 2026-05-23T07:07:41.654532Z

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.

source=pdf_text observed=2026-05-23T07:05:52.610830Z digest=sha256:6658482385e23fec9f5f58edb5b219e631efbf9d24727b67aec22d95a4286665

Observation 23b6f6d1-9bf4-4278-a6f6-00c57d8ccf17 · inbound

CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries cites this paper.

CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 21

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no resolver link, observed 2026-08-10T22:36:03.790331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:36:03.790331Z digest=sha256:c4950ff0f2f938c7edfd8f81f33d6f22734e58921d64960ab6d0e9420b1fd852

Observation 3c4c50b5-b210-4267-b307-4675e6b5f973 · inbound

"I Would Never Trust Anything Western": Kumu (Educator) Perspectives on Use of LLMs for Culturally Revitalizing CS Education in Hawaiian Schools cites this paper.

"I Would Never Trust Anything Western": Kumu (Educator) Perspectives on Use of LLMs for Culturally Revitalizing CS Education in Hawaiian Schools Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 44

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no resolver link, observed 2026-08-10T04:34:20.235025Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:34:20.235025Z digest=sha256:f4f66ee1c77d4564ee9c519a465a78a73f33c6f750fef491c9329ffb5c321bc0

Observation 830af0d9-5e9d-4edc-bb11-490df0c14345 · inbound

When One LLM Drools, Multi-LLM Collaboration Rules cites this paper.

When One LLM Drools, Multi-LLM Collaboration Rules Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 83

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no resolver link, observed 2026-08-08T22:33:09.501273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:33:09.501273Z digest=sha256:5152b5d56ae4de412c33bfa98d254af32cc3e228deae2be934dbe81e49e36057

Observation 3a545bc4-4471-485a-8b8c-618c01007051 · inbound

Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts? cites this paper.

Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts? Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T22:27:12.310759Z

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.

source=pdf_text observed=2026-05-22T22:27:02.059459Z digest=sha256:f6d771d2e7596935e376fd41471640baf88b90e5c7d9d8fe828dbc29e5798bb6

Observation 4b588c66-a11e-4e20-86b8-06a1e1117f42 · inbound

Governance Challenges in Reinforcement Learning from Human Feedback: Evaluator Rationality and Reinforcement Stability cites this paper.

Governance Challenges in Reinforcement Learning from Human Feedback: Evaluator Rationality and Reinforcement Stability Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 12

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no resolver link, observed 2026-08-16T12:15:28.360877Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:15:28.360877Z digest=sha256:3549500deb75805a4cf7af8eefaa39bb4f078a6f9b120b167015f3149529dbb0

Observation 1cb46931-1339-4216-a8bd-1cc558ed1ad9 · inbound

A Cross-Cultural Comparison of LLM-based Public Opinion Simulation: Evaluating Chinese and U.S. Models on Diverse Societies cites this paper.

A Cross-Cultural Comparison of LLM-based Public Opinion Simulation: Evaluating Chinese and U.S. Models on Diverse Societies Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 18

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no resolver link, observed 2026-08-07T00:15:32.334462Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:15:32.334462Z digest=sha256:5888dadcd002e6e07c9e1c66327e92a40304e4d832b7f5cc99d9cbf18020d52a

Observation 6e772f59-f2e0-4583-b7f9-61ccd44f0efc · inbound

A Dual-Layered Evaluation of Geopolitical and Cultural Bias in LLMs cites this paper.

A Dual-Layered Evaluation of Geopolitical and Cultural Bias in LLMs Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 18

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no resolver link, observed 2026-08-06T22:22:07.648571Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:07.648571Z digest=sha256:b760458dd783795f0be662ccd3d78d7169a9da4b6d9758e204c63a01ecf07934

Observation 85c82bd6-501f-446d-949e-c66696a8b61e · 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 Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 44

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unresolved
no resolver link, observed 2026-08-06T21:54:43.791136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:54:43.791136Z digest=sha256:14aec3c6ad8313b2913d24620de4e815eb6cfbc810ac4f6137f2e0791a688bc7

Observation 6f54910f-c960-4072-8a3e-0fb75c8e8968 · inbound

How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting cites this paper.

How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 19

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no resolver link, observed 2026-08-06T15:23:18.261867Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:23:18.261867Z digest=sha256:f5934ecc4165f1091bab94df9a4458cdccc73dc4544200bf33ccd18cd5b7b09d

Observation f2098114-a07e-40df-b1f3-74ee80955bb0 · inbound

Towards Experience-Centered AI: A Framework for Integrating Lived Experience in Design and Development cites this paper.

Towards Experience-Centered AI: A Framework for Integrating Lived Experience in Design and Development Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 2019

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no resolver link, observed 2026-08-05T22:32:51.637435Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:32:51.637435Z digest=sha256:34eeeeb965085dab83391af794ec80d20be82316e3880f79fab0364784541c38

Observation 52d67b71-cd51-446d-acb5-8680cba7a095 · inbound

PalmX 2025: The First Shared Task on Benchmarking LLMs on Arabic and Islamic Culture cites this paper.

PalmX 2025: The First Shared Task on Benchmarking LLMs on Arabic and Islamic Culture Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 31

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no resolver link, observed 2026-08-15T16:40:09.076874Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:40:09.076874Z digest=sha256:279c9a3717f5b6dfb53871db7542a282d2841f37d5c9ade8a735a0bec4c7bbfd

Observation af7abfbe-0903-4df4-b3fa-26866e13b1ef · inbound

The Alignment Veto: How Safety Training Suppresses Cultural Knowledge in LLMs cites this paper.

The Alignment Veto: How Safety Training Suppresses Cultural Knowledge in LLMs Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 42

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no resolver link, observed 2026-08-04T09:51:28.647169Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:51:28.647169Z digest=sha256:462f15ce48a37b796fbe9629f63fe23e371603afa87e3680ba256eb6ade344da

Observation 32ef354b-827f-4e07-8c93-ba5498492172 · inbound

Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities cites this paper.

Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 54

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metadata mismatch
arxiv_id, observed 2026-05-11T19:31:09.059277Z

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.

source=pdf_text observed=2026-05-08T11:45:58.139592Z digest=sha256:cfde644a931cf7e07174fa651911c41f7c6b11c47707fe57497984ce8720c4c4

Observation bdcc779e-c313-4cd6-b2e2-5021a536a8e2 · inbound

SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures cites this paper.

SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 23

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arxiv_id, observed 2026-05-11T16:36:08.906093Z

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.

source=arxiv_source observed=2026-05-09T15:56:52.689233Z digest=sha256:4a68a06ba7b3cb7fada33687960f1725358c2453ea2340d4809286812165caba

Observation 9ecbebfa-11b9-40ee-8eb9-7480a28109b3 · inbound

MultiLinguahah : A New Unsupervised Multilingual Acoustic Laughter Segmentation Method cites this paper.

MultiLinguahah : A New Unsupervised Multilingual Acoustic Laughter Segmentation Method Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 21

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arxiv_id, observed 2026-05-11T20:01:12.224865Z

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.

source=pdf_text observed=2026-05-08T10:26:42.297284Z digest=sha256:959e36371799704b1a79424f4b87c2ff50d5cba914bb767a7f40e62a2207d9fa

Observation d4507c5d-f194-4fd2-b09d-a0d6fc985921 · inbound

MultiLinguahah : A New Unsupervised Multilingual Acoustic Laughter Segmentation Method cites this paper.

MultiLinguahah : A New Unsupervised Multilingual Acoustic Laughter Segmentation Method Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 21

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arxiv_id, observed 2026-05-14T21:17:58.518935Z

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.

source=pdf_text observed=2026-05-14T21:17:54.058334Z digest=sha256:d41e797a4b7a719e90f077d1eb2f2bc27ed8cae26bf0133660c5161129a1ab40

Observation 76ec71e9-19c5-42f6-9b6f-8866b3491491 · inbound

Understanding and Debugging Failures in N-Gram-Based Generative Retrieval cites this paper.

Understanding and Debugging Failures in N-Gram-Based Generative Retrieval Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 27

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arxiv_id, observed 2026-07-03T23:19:03.280450Z

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.

source=pdf_text observed=2026-06-26T22:43:03.892738Z digest=sha256:a956f35a2c85e13037e850a62ee07970c5754c2b82e3f5ab6db3e90640058405