Paper Citation Record · LEDGER

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models

As of 14 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2411.19103.

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

pith.paper-citation-record.v1
2411.19103 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:36:36.109735Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:23:53.069460Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:50:57.754355Z

Reference resolution

53 of 53 outbound references displayed

verified exact0
verified fuzzy11
unresolved42
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3ec4983-b98b-4b07-bdfe-49a8bae6b79d · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.852542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7f4e65e-14c8-4085-9674-9268d6349542 · outbound

This paper cites GPT-4 Technical Report.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.858504Z

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Observation c1e5ee41-0493-4459-a3d8-4db1ff6bf164 · outbound

This paper cites Pixtral 12B.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Pixtral 12B

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.864070Z

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Observation b93e74b5-54da-4b69-8c7c-7cd75a6814ba · outbound

This paper cites Claude 3.5 sonnet, 2024.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Claude 3.5 sonnet, 2024

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.869702Z

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Observation 3b116a9b-aaf5-4d76-9988-cf27460567a7 · outbound

This paper cites Are we on the right way for evaluating large vision-language models? In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Are we on the right way for evaluating large vision-language models? In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:36:36.927658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b16a62da-450e-4651-b93b-b9fed078a453 · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.879674Z

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Observation 246d330c-3898-44fc-b5c1-fd9b8351ba9f · outbound

This paper cites Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.885630Z

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Observation 5714edc0-0fb7-401a-aa5b-ba5e6dfac8b5 · outbound

This paper cites VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.890601Z

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Observation 51c57779-af72-41e5-8fee-5046260785c0 · outbound

This paper cites Pororo: Platform of neural models for natural language processing.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Pororo: Platform of neural models for natural language processing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:36:36.912470Z

Source-reported events for the cited work

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Observation c0b004ca-f92b-4cb4-a871-3eadd68f546f · outbound

This paper cites Icdar 2013 robust reading competition.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Icdar 2013 robust reading competition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:36:36.897869Z

Source-reported events for the cited work

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Observation d1372440-1e8f-4eac-8b8a-cbe10f98cbec · outbound

This paper cites Icdar 2015 competition on robust reading.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Icdar 2015 competition on robust reading

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:36:36.884238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 51682c5f-09ce-42e3-ac5a-701740ba3fe5 · outbound

This paper cites Ocr-free document understanding transformer.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Ocr-free document understanding transformer

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:36:36.870270Z

Source-reported events for the cited work

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Observation ef31c4a8-ef05-48a1-ab75-b25a673efd42 · outbound

This paper cites Korean Localization of Visual Question Answering for Blind People.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Korean Localization of Visual Question Answering for Blind People

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:36:36.856356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e481b500-b1fb-47f6-a568-685b8dc5b950 · outbound

This paper cites Building and better understanding vision-language models: insights and future directions.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Building and better understanding vision-language models: insights and future directions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.917708Z

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Observation eb303d3c-5e48-4e5f-9f4b-e34c74bfd650 · outbound

This paper cites Popeval: A character-level approach to end-to-end evaluation compatible with word-level benchmark dataset.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Popeval: A character-level approach to end-to-end evaluation compatible with word-level benchmark dataset

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:36:36.843146Z

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Observation eb77d461-959f-4b92-896c-53fd31b8bfbf · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models LLaVA-OneVision: Easy Visual Task Transfer

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.927460Z

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Observation 17dbb9ee-fe15-4080-aa48-7c3b080ca89e · outbound

This paper cites Seed-bench: Benchmarking multimodal large language models.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Seed-bench: Benchmarking multimodal large language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.932104Z

Source-reported events for the cited work

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Observation 67f14028-ed47-4e08-9371-ad03019cda90 · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.936853Z

Source-reported events for the cited work

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Observation 8fbd28c9-3f04-4a69-a00d-4c74e4a7748e · outbound

This paper cites A Survey on Benchmarks of Multimodal Large Language Models.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models A Survey on Benchmarks of Multimodal Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.943050Z

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Observation 16a8dd29-5225-48db-94d6-791e9927e454 · outbound

This paper cites Visual instruction tuning.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Visual instruction tuning

Reference 20

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Observation e9b90bd9-b359-4b8f-b787-b79dee9b7014 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems , 36, 2024.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Visual instruction tuning.Advances in neural information processing systems , 36, 2024

Reference 21

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Observation 9a7b7c2d-3b38-464d-a53e-41b2259a319a · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? In European Conference on Computer Vision, pages 216–233.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Mmbench: Is your multi-modal model an all-around player? In European Conference on Computer Vision, pages 216–233

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.956783Z

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Observation 644ef2d0-4c4f-46d9-9072-4f75b800ab02 · outbound

This paper cites OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.961256Z

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Observation 62577d7d-b611-4861-a10a-b66b17ba5381 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.966053Z

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Observation a482db7a-3c49-4dcf-a98d-b55608b817c6 · outbound

This paper cites Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 25

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Observation c061e2c0-08c5-49dc-b3f4-024b4b23566d · outbound

This paper cites Cord: A consolidated receipt dataset for post-ocr parsing.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Cord: A consolidated receipt dataset for post-ocr parsing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:36:36.793542Z

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Observation da1c4e4a-caa6-43f2-8733-0d84693ad957 · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 27

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Observation f7e29a92-e734-4ce7-a87b-d385a2a9644f · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Direct preference optimization: Your language model is secretly a reward model

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.985077Z

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Observation 604c59d3-a8fe-4a00-b43c-68248d20f7d1 · outbound

This paper cites Exaone 3.0 7.8 b instruction tuned language model.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Exaone 3.0 7.8 b instruction tuned language model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.990115Z

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Observation b23c4022-859d-42bf-b0fa-541cbf73ec0c · outbound

This paper cites X-LLaV A: Optimizing bilingual large vision-language alignment.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models X-LLaV A: Optimizing bilingual large vision-language alignment

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T10:36:35.995460Z

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Observation 19ec7602-0137-4c88-a501-a41b2eee73c8 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 31

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Observation 452c9471-7122-4496-a1f6-8cb1ff36ffa1 · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Qwen2.5: A party of foundation models, September 2024

Reference 32

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Observation 8db81b3a-4c41-42d0-a111-7d3770ee2e35 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 33

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Observation 3545269b-b6bc-4f4c-9c61-60214502c22f · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 34

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Observation 8960d159-d36d-4147-9bed-865e5c3489f0 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi

Reference 35

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Observation 5befc4bb-fea9-4a40-bb2a-3c5767bb97a3 · outbound

This paper cites Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages

Reference 36

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Observation 2f56c486-75f2-45ef-b34e-0104b5948ad0 · outbound

This paper cites Sigmoid loss for language image pre-training.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Sigmoid loss for language image pre-training

Reference 37

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Observation adab2f40-cc40-44f4-8c01-717e2f6e1b60 · outbound

This paper cites LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Reference 38

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Observation 8f6afc56-4097-454a-9150-3fc39708ad0f · outbound

This paper cites Swift:a scal- able lightweight infrastructure for fine-tuning, 2024.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Swift:a scal- able lightweight infrastructure for fine-tuning, 2024

Reference 39

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Observation 80e390e2-b100-4c33-a098-68045181a8b3 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 40

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Observation 139285f2-244a-45bd-973c-d4c7a734478c · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 41

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Reference 42

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Observation fcd469a4-f479-4bf2-a266-66771f85addc · outbound

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Observation 4af0a18f-ab65-4411-9732-09c638dc520c · outbound

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Observation 3a37a793-b66e-49fa-b975-b201fe16a6bd · outbound

This paper cites # 출력 형식 - 첫 번째 줄: `어시스턴트1_점수 어시스턴트2_점수` (예: `8 9`) - 두 번째 줄: `유용성`, `관련성`, `정확성`, `세부 수준`, `한국어 생성능력` 기준으로 점수를 설명 하는 자세한 문단을 제공합니다.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models # 출력 형식 - 첫 번째 줄: `어시스턴트1_점수 어시스턴트2_점수` (예: `8 9`) - 두 번째 줄: `유용성`, `관련성`, `정확성`, `세부 수준`, `한국어 생성능력` 기준으로 점수를 설명 하는 자세한 문단을 제공합니다

Reference 45

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Observation 9e90c8ed-c6c5-420f-97fe-23b5148bdec5 · outbound

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Reference 46

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Observation 8c43a167-2fae-459b-9913-4bb7fe9235a8 · outbound

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Observation 5c19e8b7-c018-4eb3-bb3b-fc4f50a87db1 · outbound

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Reference 48

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Observation bc7c32ca-e971-4795-8d4d-38402f0f4955 · outbound

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Reference 49

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Observation 36ebed22-f097-4b91-93c6-d375de28c098 · outbound

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Reference 50

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Observation 51633135-2074-408c-9ef9-6e88c3558468 · outbound

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Reference 51

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Observation 21d48145-90f6-48b4-8569-dd08c1d97009 · outbound

This paper cites an unresolved cited work.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:36:36.576150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a2bd0708-bf91-4878-b984-d136dd20162c · outbound

This paper cites STARBUCKS.

VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models STARBUCKS

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:36:36.563962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 42f4af09-c14f-415e-a1e6-575f581e615f · inbound

KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts cites this paper.

KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T15:23:53.069460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 579ef28e-9638-4b05-bd0d-dbb1829f3b4d · inbound

Anthropogenic Regional Adaptation in Multimodal Vision-Language Model cites this paper.

Anthropogenic Regional Adaptation in Multimodal Vision-Language Model VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:50:57.757159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.