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Paper Citation Record · LEDGER

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

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 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 21 of 21 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 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:37:55.484734Z

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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  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

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 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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:37:55.484734Z digest=sha256:0a8ebf82016036aa0918572f299b1594b4ef37f23527a3a15e9a77d0ed48f7c2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:27:26.300431Z digest=sha256:180a82573bba8bc56a1c5f6904dc0f319a307d67863a4f0074a413ae886c09c1

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

Resolution
unresolved
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=sha256:840ef4944efc5f90985e21f724566555db12bf318bbf4e209199723efc3ac448

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

Resolution
unresolved
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:c2e6b5040a46e320d1d80a9f2da5cefbe761d10ea2a3dd4407e00ab369e867e8

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
unresolved
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=sha256:059ea4faf404f696215961f61aaf42a1293dde7bc0b2e863ce01aec3072e4531

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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T07:05:52.610830Z digest=sha256:1f6f8bf3ba5df277f49b8dec9293e6d4c6bbee27bb2b3bcdf9b5fffc984c32a4

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

Resolution
unresolved
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:b8826684063b2d032d985fd3f7623dd214e70ff4537ce0e9b7287d7da577dacc

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:34:20.235025Z digest=sha256:b51fb1ce1222c044b017cea39eae6b1bf4a78b45371eca84770f9524a4c5cb10

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

Resolution
unresolved
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=sha256:7282cf4372514c2fb9559559351b4ca1e2f7070cfc4745171b5cb3d704a4a093

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T22:27:02.059459Z digest=sha256:fb16aa9f3f2bb43e73e3e6c75ec68e78eff6e96f067c157d2ce39914368e2d42

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:15:32.334462Z digest=sha256:c3b26a0cfd4df482c0adc3d012ab6b1c1bc0501c75011dfca199dbffb97b0686

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:07.648571Z digest=sha256:46b8294c7fbe2d4d6fc8bae61c233617f00e6b60f28dfae117fa435b4df285f8

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

Resolution
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:fe2c6845e153b8add1e170bf6eed9aa2ad539720a73e30aa22242c5a6f31a58d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:23:18.261867Z digest=sha256:8729b1331579a995373aadba44dd4e10bbb25d79aba97c98a007551b42b36e83

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:32:51.637435Z digest=sha256:827178a97fbd18329c974ec1bac21e18a295cea787942904ca2e537318871791

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:51:28.647169Z digest=sha256:94aa870904faca105bc9bcaad7b3b2439da28090dc998abc20c5c2da9d610064

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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T11:45:58.139592Z digest=sha256:f8ca5e5afa282fa82c50b0dd174aad68fc185222f7636fef1041d7c2bea7de9e

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

Resolution
metadata mismatch
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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-09T15:56:52.689233Z digest=sha256:999a6cc96e7400647eb4d9b9e6bff889abd6c062e12b3c53b2e46a59c34088ff

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

Resolution
verified exact
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T10:26:42.297284Z digest=sha256:4a7e326ec34a89f1e248507005c125bf1e117bec324a3c9e671f175465e865db

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

Resolution
verified exact
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-14T21:17:54.058334Z digest=sha256:50829c1d1c04547ddcfcc4c12271dceca38af5f5230d3cd48e3dcd51f7d8302c

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

Resolution
metadata mismatch
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T22:43:03.892738Z digest=sha256:c97b229577a813cf67aa4100430369f2fe8a5bfe2bdf041532bd0dd4bebf2f59