Paper Citation Record · LEDGER

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation

As of 12 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 2 inbound Pith citation observations for arXiv:2412.16364.

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

pith.paper-citation-record.v1
2412.16364 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:43:08.380678Z

measured 69 of 69 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:32:48.356870Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:32:48.405652Z

Reference resolution

67 of 67 outbound references displayed

verified exact1
verified fuzzy0
unresolved66
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5aacc674-890a-4e79-a0c6-81092622eb59 · outbound

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

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.015968Z

Source-reported events for the cited work

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Observation aef6de57-ada9-4950-90b9-189813c046f7 · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 2

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Source-reported events for the cited work

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Observation 7a91493e-ad36-4acd-b3f5-756b4178e5fa · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 3

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Observation dbad5b1a-de18-4cd4-95c4-376891cc6205 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.034935Z

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Observation c9aced62-d86c-499a-9f61-c0bbade12ff2 · outbound

This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 5

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Observation 456f2e71-686d-4cbc-9525-5d55b18abacb · outbound

This paper cites Qwen Technical Report.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Qwen Technical Report

Reference 6

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Source-reported events for the cited work

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Observation b1ccb274-a20f-4c6d-b211-3fd36e23abba · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 7

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Observation 2f1ee924-13e8-41eb-855e-e2ea59aa1595 · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 8

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Observation 08368eb0-7df9-4183-892e-b4b7cf4c808d · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 9

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Observation f5819198-0513-4c32-8114-88143f42e9d3 · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 10

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Observation 31d5aa54-06cb-499c-a7a8-d6e5c7dbd311 · outbound

This paper cites ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models

Reference 11

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Observation f68f39bf-0ae6-4b10-a708-822246bf7dcd · outbound

This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.082289Z

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Observation ad00a16b-2107-40b4-9d40-b3ff799b7734 · outbound

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

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 13

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Observation b4953843-a2cf-4ada-84b5-63a33a282ab2 · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.093445Z

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Observation 03b891d6-79f4-47fe-b99a-8f1b243851b2 · outbound

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 15

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Observation 10e10636-9685-4993-b3c9-bb76777af97c · outbound

This paper cites InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.104693Z

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Observation 6e901dd1-c024-4d6e-a312-6a7d435ad9e5 · outbound

This paper cites LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.111217Z

Source-reported events for the cited work

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Observation 1363a921-11cf-432e-9ef4-255feebfeea8 · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 18

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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.

Observation fd1c25d7-e7d1-495c-90a9-16cf49b50fc8 · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 19

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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.

Observation 747d26dd-1952-4d61-a751-8fa681cfff86 · outbound

This paper cites FigureQA: An Annotated Figure Dataset for Visual Reasoning.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation FigureQA: An Annotated Figure Dataset for Visual Reasoning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.126593Z

Source-reported events for the cited work

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Observation 4bad5c29-2f67-490c-be1d-f7bb08f05aa9 · outbound

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

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Building and better understanding vision-language models: insights and future directions

Reference 21

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Source-reported events for the cited work

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Observation d522efe4-aeba-4d33-b122-5344e7deb0a1 · outbound

This paper cites What matters when building vision-language models?.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation What matters when building vision-language models?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.136042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 255da361-d0a9-4079-9334-10dfc9b4a91f · outbound

This paper cites Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.140756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2a0fa4-5fcd-42d2-8c89-e5a8607e13d9 · outbound

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

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation LLaVA-OneVision: Easy Visual Task Transfer

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.145499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fc6c466-f7e4-4222-a81a-f9a6d9f3d38b · outbound

This paper cites Multimodal Foundation Models: From Specialists to General-Purpose Assistants.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.150494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28191912-273f-4eef-b0c1-c64b068cea95 · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 26

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Source-reported events for the cited work

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Observation 67d16506-8c00-4edb-9dcd-180883516aa8 · outbound

This paper cites From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

Reference 27

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Observation 3fee9e36-0d0d-4994-9c58-de20c1335339 · outbound

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 28

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Observation 42e9e741-e613-40d1-912a-94582f8773d0 · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 29

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Observation 8cc2fb93-52c7-4778-892d-c0421725b7e1 · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 30

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Observation e17d3b1d-91f7-4c8b-9d5a-d2832ddd1a74 · outbound

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 31

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Observation 8b73e3aa-3a16-4350-bcc1-3e5a57987d8d · outbound

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 32

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Observation 79c41576-adb8-49a9-8249-12504a124eb8 · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 823076d6-51a6-4cc2-a594-43e901f5f457 · outbound

This paper cites Visual Instruction Tuning.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Visual Instruction Tuning

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d3cded9-7343-4fba-93c2-17c02b5ab6ce · outbound

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

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models

Reference 35

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Observation 68958a47-46d5-4079-9441-3d430f02dc99 · outbound

This paper cites TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.206401Z

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Observation d7a9b546-68f6-4722-add5-1fba7b2724c1 · outbound

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

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 37

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Observation 637a3691-509c-46d7-9e79-adb2080d4e06 · outbound

This paper cites ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Reference 38

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 39

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 40

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 41

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Observation 85c2ceb8-1290-4bf9-9aa0-94302cca30b6 · outbound

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 42

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Observation 7c107ef1-2274-45ad-b018-1025e2bd7f32 · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 43

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Observation f2ed88f0-b8b6-4a0c-bcda-7f20f7169886 · outbound

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de5324e3-3a32-44a0-a14c-207650ee37e9 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 45

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Observation fa9e2839-d2f8-4f32-b1b4-61908a1ba1e7 · outbound

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Reference 46

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Source-reported events for the cited work

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Observation 83e3ba0f-5a8b-44cf-98c4-82a29bed14f3 · outbound

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 47

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 48

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Observation 6ee6884b-69f4-481a-9f67-263f29763ccb · outbound

This paper cites Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 49

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Observation 660abd36-6da8-426d-a5df-ea81382b457c · outbound

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 50

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Source-reported events for the cited work

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Observation db90e8f6-2ebb-4bde-8364-563eaeb3d8d3 · outbound

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 51

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Observation 3504fa73-4fd3-4924-a1f6-f4c77c5adda4 · outbound

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

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.289122Z

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Observation 37a2c492-2125-4336-b4b9-052f6a34d4bb · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 53

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 819bbdeb-4eee-42cb-8852-9622a2f95d9b · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:43:09.307105Z

Source-reported events for the cited work

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Observation 1bb51277-e1c3-4935-83b6-ec35b11cdbb0 · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.304211Z

Source-reported events for the cited work

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Observation bd986c29-9567-499f-ab33-9bc948658b71 · outbound

This paper cites LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images

Reference 56

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Observation ef38d3f2-5405-4ae5-bee0-17e04f7452bb · outbound

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

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.314525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf827e25-0aed-4782-8627-8dfd9377e165 · outbound

This paper cites UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.320223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bba694e8-6c14-4073-a46e-480ac2bcdcea · outbound

This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.330976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e3dde9d-e7b0-4f54-b686-4a4033c772ec · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.336017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d493ed16-3acd-4a52-b132-6fa5eed4ebed · outbound

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A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:43:09.288560Z

Source-reported events for the cited work

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Observation 039c9c1c-7118-4aa7-b692-2ad34cec58f7 · outbound

This paper cites an unresolved cited work.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Unresolved cited work

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.346668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76e70a1b-40d9-4db0-b8c3-58ef0c8b9815 · outbound

This paper cites LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.351843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f71f3fe-2089-4064-b1c9-612f4db72381 · outbound

This paper cites Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:43:08.445289Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f5749c3a-7a2a-4bff-86e9-52f2ca6bdcea · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.367718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 746f9fb3-8af6-47cc-a585-49c169dd95e8 · outbound

This paper cites online" 'onlinestring :=.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation online" 'onlinestring :=

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.374718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 240ab25e-bb93-4ba0-9e60-afb92eeac574 · outbound

This paper cites write newline.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation write newline

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.380678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7b2f1c54-e03b-44af-b3cf-ae100fa0aa5e · inbound

The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities cites this paper.

The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:32:48.411909Z

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.

Observation 1a5d8708-20ca-457e-91b6-9079ea167a94 · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation

Reference 280

Resolution: unresolved; no resolver link, observed 2026-08-03T08:15:38.147584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.