Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:23:54.203192Z
Paper Citation Record · LEDGER
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts
As of 19 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2508.19944.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
21 of 21 outbound references displayed
- verified exact0
- verified fuzzy3
- unresolved14
- parse uncertain0
- malformed identifier0
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a7834192-50b9-4a2c-a1b0-fab71059e897 · outbound
This paper cites Distilling System 2 into System 1.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts Distilling System 2 into System 1
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:23:54.147498Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 332a2505-24d6-4798-b43d-9f2c31962986 · outbound
This paper cites Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T15:23:54.843244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 562a8238-04d2-4831-b6c0-67ea53962bb3 · outbound
This paper cites target-language in- structions for multilingual LLMs.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts target-language in- structions for multilingual LLMs
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T15:23:55.619383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f00b02e9-d38b-42fe-8d8d-75f5b9d9d396 · outbound
This paper cites QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T15:23:54.730802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f86f6a0d-31ae-4ba1-9bb2-869119a11ede · outbound
This paper cites Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:23:52.822183Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42f4af09-c14f-415e-a1e6-575f581e615f · outbound
This paper cites VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models.
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 ba2e8402-f650-4103-be53-4d5e95c4e695 · outbound
This paper cites KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T15:23:54.587026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation afef7787-2222-4467-83d4-49502986deca · outbound
This paper cites LLaVA-OneVision: Easy Visual Task Transfer.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts LLaVA-OneVision: Easy Visual Task Transfer
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:23:53.312371Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adb73585-05b2-45da-8192-0ca009ca97cf · outbound
This paper cites Ovis: Structural Embedding Alignment for Multimodal Large Language Model.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts Ovis: Structural Embedding Alignment for Multimodal Large Language Model
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:23:53.395808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d20a17e8-5e5a-480f-b5e7-34c77897b53b · outbound
This paper cites ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:23:53.484435Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3987501e-c357-48f3-a73e-e59064896d08 · outbound
This paper cites In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2497–.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2497–
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T15:23:55.266273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f73cfec0-2720-4807-9af4-74bc2f9b15f9 · outbound
This paper cites Parrot: Multilingual Visual Instruction Tuning.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts Parrot: Multilingual Visual Instruction Tuning
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:23:53.733257Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a81e72e-319b-4f15-86f8-1740168afd13 · outbound
This paper cites MUST-VQA: MUltilingual Scene-text VQA.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts MUST-VQA: MUltilingual Scene-text VQA
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T15:23:54.395283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c492fa4c-5f08-4133-8496-7f968711638b · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:23:53.923746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6546014c-ec27-47c5-b35f-4c61ae4e52bf · outbound
This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:23:54.018200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee559cbe-d8a1-40b9-afcc-1aefb63e9d0f · outbound
This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts MiniCPM-V: A GPT-4V Level MLLM on Your Phone
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:23:54.087145Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de6250fe-b1c2-463e-b2d0-349481c18986 · outbound
This paper cites an unresolved cited work.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T15:23:55.051104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d1a26ad7-6b7d-4a65-8591-e0701589cbe3 · outbound
This paper cites ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:23:52.935815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d9d3a6a-90e8-4631-96a9-f0f8dbe03073 · outbound
This paper cites In Proceedings of ACL.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts In Proceedings of ACL
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T15:23:55.427249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cd2966e3-c467-46af-80c3-6a334040aac3 · outbound
This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:23:52.283285Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cda32ee-1c9f-4d96-b821-c1e6a60c4538 · outbound
This paper cites Qwen2.5-VL Technical Report.
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts Qwen2.5-VL Technical Report
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:23:52.538063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.