Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:36:03.857380Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 14 inbound Pith citation observations for arXiv:2501.01282.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:36:03.857380Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:14:16.972880Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T20:16:12.001782Z
34 of 34 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b703a96a-d32e-49ea-8089-693a395cc08c · outbound
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries PersianLLaMA: Towards Building First Persian Large Language Model
Reference 1
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Reference 4
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CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models
Reference 6
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Observation 392d0ad3-7e2c-4496-83b9-877c86c47305 · outbound
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries Enhancing Content Moderation with Culturally-Aware Models
Reference 7
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Observation bde0b0d4-b8f4-447c-8b5b-2ef91d4ace20 · outbound
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
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CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries CulturalBench: A Robust, Diverse, and Challenging Cultural Benchmark by Human-AI CulturalTeaming
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Observation d191fd92-d47c-420a-a4a5-9ebb1c42763c · outbound
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey
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Reference 12
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CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries GPT-4o System Card
Reference 13
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Observation bd6dc3eb-49ad-400d-bb0b-94673e49f68b · outbound
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries The Ghost in the Machine has an American accent: value conflict in GPT-3
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CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries LLaVA-OneVision: Easy Visual Task Transfer
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Observation 28d21c31-08ca-4e28-96c2-d6c8549d8dd3 · outbound
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings
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Observation d7edca81-f066-49dd-aff0-161460eca7de · outbound
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries The 2012 stein rokkan lecture: Three decades of popu list radical right parties in western europe: so what? In The Populist Radical Right, pages 545–558
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Observation 23b6f6d1-9bf4-4278-a6f6-00c57d8ccf17 · outbound
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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CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries SeaLLMs -- Large Language Models for Southeast Asia
Reference 22
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CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries Typhoon: Thai Large Language Models
Reference 23
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Observation 60af69ee-f49b-41e6-a5a8-e70b951bdf37 · outbound
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models
Reference 24
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CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
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Observation c84d5bb1-a7f7-4bee-8637-4272a4afa976 · outbound
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries Gemini: A Family of Highly Capable Multimodal Models
Reference 27
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Reference 28
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Observation 189d4403-aaf3-447c-9264-f3e4c5d66c22 · outbound
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CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models
Reference 30
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CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines
Reference 31
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CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries MiniCPM-V: A GPT-4V Level MLLM on Your Phone
Reference 32
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Reference 34
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Observation 62c4e83c-4910-4e1d-9a20-d9afa2e9fa68 · outbound
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries Hallucination of Multimodal Large Language Models: A Survey
Reference 1996
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Observation acb73a92-2334-4750-be28-3d3978e2a2ea · outbound
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models
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Observation 6fb93bf7-e972-492f-ba2f-57d05f129b30 · outbound
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
Reference 2016
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Observation 9ed418d1-e707-44fb-a72d-58467dea94dd · outbound
Reference 2019
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Observation f17c16cb-fc39-45d4-9665-d1ffa17ed9ee · outbound
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions
Reference 2021
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CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies
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Reference 248
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Observation 6274f23e-47bc-47da-96b8-c796c8ca706b · inbound
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Observation bcf456a2-4aa1-49a2-a39a-e0dff11e04d2 · inbound
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When Cultures Move: Measuring and Improving Multicultural Text-to-Video Generation CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries
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When Cultures Move: Measuring and Improving Multicultural Text-to-Video Generation CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries
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