Paper Citation Record · LEDGER

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2508.16762.

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

pith.paper-citation-record.v1
2508.16762 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:15:49.702336Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

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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

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation b2c894af-23a1-4d9e-874a-f1d50757802f · outbound

This paper cites To- wards measuring and modeling “culture” in LLMs: A sur- vey.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation To- wards measuring and modeling “culture” in LLMs: A sur- vey

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:15:50.507144Z

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Observation e6385693-90d8-416f-9ec7-ffe9cbb1395b · outbound

This paper cites Investigating Cultural Alignment of Large Language Models.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Investigating Cultural Alignment of Large Language Models

Reference 2

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Observation e26cacf3-710f-4600-b4af-5286c44cab1c · outbound

This paper cites Probing Pre-Trained Language Models for Cross-Cultural Differences in Values.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Probing Pre-Trained Language Models for Cross-Cultural Differences in Values

Reference 3

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Observation eeff2b56-5420-42a3-a3ee-a0d9ff2c354e · outbound

This paper cites Probing pre-trained language models for cross-cultural dif- ferences in values.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Probing pre-trained language models for cross-cultural dif- ferences in values

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:15:50.488957Z

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Observation 66a2cf49-afc4-4e96-b9ad-aeec69601ceb · outbound

This paper cites Qwen2.5-vl technical report, 2025.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Qwen2.5-vl technical report, 2025

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:15:50.470713Z

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Observation 4f13b1f1-b300-4206-8e75-309ffe398716 · outbound

This paper cites Venkatesh Babu, and Danish Pruthi.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Venkatesh Babu, and Danish Pruthi

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:15:50.451398Z

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Observation 91957dbb-4d85-4206-aead-d19ce5c8ec25 · outbound

This paper cites From local concepts to univer- sals: Evaluating the multicultural understanding of vision- language models.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation From local concepts to univer- sals: Evaluating the multicultural understanding of vision- language models

Reference 7

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Observation 97432fa6-e243-42be-9367-9868606a8645 · outbound

This paper cites Extrinsic evaluation of cultural competence in large language models.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Extrinsic evaluation of cultural competence in large language models

Reference 8

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Observation ce25a871-4a72-407e-9cf4-76306ed76a63 · outbound

This paper cites Language (technology) is power: A critical sur- vey of “bias” in NLP.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Language (technology) is power: A critical sur- vey of “bias” in NLP

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:15:50.400342Z

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Observation b419d52b-e392-4a3a-9732-fd291315fdf8 · outbound

This paper cites Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study

Reference 10

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Observation 9f93418e-cef3-412c-af0f-cd8c33a085aa · outbound

This paper cites MaXM: Towards multilingual visual question an- swering.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation MaXM: Towards multilingual visual question an- swering

Reference 11

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Observation bd15319a-ccc5-41a6-b263-edc9fac94030 · outbound

This paper cites The SAGE handbook of intercultural competence.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation The SAGE handbook of intercultural competence

Reference 12

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Observation 44af451b-f7bc-47fb-ac35-773a8126fcff · outbound

This paper cites Towards Measuring the Representation of Subjective Global Opinions in Language Models.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Towards Measuring the Representation of Subjective Global Opinions in Language Models

Reference 13

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Observation f5c7ff0f-a9b3-41d4-9292-2a671d4991b2 · outbound

This paper cites ”i wouldn’t say offensive but...”: Disability-centered perspectives on large language models.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation ”i wouldn’t say offensive but...”: Disability-centered perspectives on large language models

Reference 14

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Observation 36a82315-2055-48ba-be2e-18e18cb78857 · outbound

This paper cites World values survey: Round seven - country-pooled datafile version 5.0, 2022.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation World values survey: Round seven - country-pooled datafile version 5.0, 2022

Reference 15

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Observation 6a98888b-6b7f-41f2-9525-77fb27da3e41 · outbound

This paper cites Challenges and strategies in cross- cultural NLP.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Challenges and strategies in cross- cultural NLP

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:15:50.161813Z

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Observation ab7e2c3b-6d81-492f-8621-97fa4e3f144a · outbound

This paper cites Clipscore: A reference-free evaluation met- ric for image captioning, 2022.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Clipscore: A reference-free evaluation met- ric for image captioning, 2022

Reference 17

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Observation 8a2bcde3-1a01-4517-bc7d-f93ac753c396 · outbound

This paper cites Dimensionalizing cultures: The hofstede model in context.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Dimensionalizing cultures: The hofstede model in context

Reference 18

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Observation 07b5b54a-1e3c-40a4-961c-e0fe3acb6855 · outbound

This paper cites The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models

Reference 19

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This paper cites Visually 9 grounded reasoning across languages and cultures.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Visually 9 grounded reasoning across languages and cultures

Reference 20

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This paper cites Wong, Qing- song Wen, Lichao Sun, Haipeng Chen, Xing Xie, and Jin- dong Wang.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Wong, Qing- song Wen, Lichao Sun, Haipeng Chen, Xing Xie, and Jin- dong Wang

Reference 21

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This paper cites Smolvlm: Re- defining small and efficient multimodal models, 2025.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Smolvlm: Re- defining small and efficient multimodal models, 2025

Reference 22

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Observation 382ea78f-496d-486c-b6c1-0567dd6a0531 · outbound

This paper cites Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions

Reference 23

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This paper cites Assessing demographic bias in named entity recognition, 2020.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Assessing demographic bias in named entity recognition, 2020

Reference 24

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This paper cites Benchmarking vision language models for cultural understanding.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Benchmarking vision language models for cultural understanding

Reference 25

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This paper cites Bleu: a method for automatic evaluation of machine translation.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Bleu: a method for automatic evaluation of machine translation

Reference 26

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Observation 6f975014-75c2-46a3-9868-a7711e77cba0 · outbound

This paper cites Knowledge of cultural moral norms in large language models.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Knowledge of cultural moral norms in large language models

Reference 27

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This paper cites Normad: A benchmark for measuring the cultural adaptability of large language mod- els.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Normad: A benchmark for measuring the cultural adaptability of large language mod- els

Reference 28

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This paper cites Cvqa: culturally-diverse multilingual visual question answering benchmark.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Cvqa: culturally-diverse multilingual visual question answering benchmark

Reference 29

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This paper cites Geographical erasure in language generation.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Geographical erasure in language generation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:15:49.969879Z

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This paper cites Cultural bias and cultural alignment of large language mod- els.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Cultural bias and cultural alignment of large language mod- els

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:15:49.953680Z

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Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Unresolved cited work

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This paper cites Broaden the vision: Geo-diverse visual com- monsense reasoning.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Broaden the vision: Geo-diverse visual com- monsense reasoning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:15:49.914244Z

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This paper cites Internvl3: Exploring advanced training and test-time recipes for open-source multimodal models, 2025.

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Internvl3: Exploring advanced training and test-time recipes for open-source multimodal models, 2025

Reference 34

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Observation 0e39aa5f-683e-468c-932e-56a15a210dc5 · outbound

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Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation Unresolved cited work

Reference 2023

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Pith citing papers

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