Paper Citation Record · LEDGER

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer

As of 16 August 2026, this Paper Citation Record lists 100 of 119 outbound references and 9 inbound Pith citation observations for arXiv:2412.13871.

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

pith.paper-citation-record.v1
2412.13871 v2

Coverage vector

measured 100 of 119 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:46:59.931076Z

measured 109 of 109 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:39:35.380728Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:43:00.317941Z

Reference resolution

100 of 119 outbound references displayed

verified exact0
verified fuzzy9
unresolved91
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d938658-7d66-4962-baa3-f104b23cdbad · outbound

This paper cites https://huggingface.co/datasets/xai-org/RealworldQA.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer https://huggingface.co/datasets/xai-org/RealworldQA

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.336510Z

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Observation 8726ff5f-9218-4400-89a3-342f28550a86 · outbound

This paper cites https://openai.com/blog/chatgpt.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer https://openai.com/blog/chatgpt

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.342422Z

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Observation 89178c1f-e3ba-487b-a310-eaf481564107 · outbound

This paper cites https://huggingface.co/datasets/laion/gpt4v-dataset, 2023.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer https://huggingface.co/datasets/laion/gpt4v-dataset, 2023

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.347956Z

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Observation cebf44c4-247f-4149-a860-7f10a008f760 · outbound

This paper cites GPT-4 Technical Report.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer GPT-4 Technical Report

Reference 4

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Observation a20896bd-eb2c-4f37-b4a3-c15722d4b43e · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Understanding intermediate layers using linear classifier probes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.359870Z

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Unavailable: canonical work link unavailable.

Observation 4f9bdd3b-9aa3-488c-91f3-2bd087fd22d3 · outbound

This paper cites Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, and Karén Simonyan.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, and Karén Simonyan

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.367120Z

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Observation e26f5bef-9fa9-437d-baad-921084d76ef2 · outbound

This paper cites Multi-label cluster discrimi- nation for visual representation learning.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Multi-label cluster discrimi- nation for visual representation learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.373279Z

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Observation 328a96cf-04c3-4bc5-9b45-c36c00a4d7d5 · outbound

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

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Gemini: A Family of Highly Capable Multimodal Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.378478Z

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Observation 12af006f-8cf2-4386-84e3-c77c47027708 · outbound

This paper cites VQA: Visual question answering.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer VQA: Visual question answering

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.385041Z

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Observation 440a624d-a99e-476b-838c-c8cbc026f9c8 · outbound

This paper cites Vision transformer for fast and efficient scene text recognition, 2021.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Vision transformer for fast and efficient scene text recognition, 2021

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.390439Z

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Observation a81f5960-63ae-4a89-808e-bfbd42309127 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 11

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Observation a03e2fd5-77dd-401e-82ef-045ff8e0ce75 · outbound

This paper cites Introducing our multimodal models.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Introducing our multimodal models

Reference 12

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Observation 2840d8cd-8db7-4540-9e21-53c2ad50dee7 · outbound

This paper cites Token Merging: Your ViT But Faster.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Token Merging: Your ViT But Faster

Reference 13

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Observation 9beabfef-632d-4ce8-ab61-ace1893a7885 · outbound

This paper cites Burt and Edward H.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Burt and Edward H

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.411828Z

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Observation 9e1bfaab-7b61-43a5-b432-6ed8d8abb769 · outbound

This paper cites MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.417347Z

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Observation b18ae7ab-6da3-4f44-b5c9-9058b371e453 · outbound

This paper cites Honeybee: Locality-enhanced projector for multimodal llm.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Honeybee: Locality-enhanced projector for multimodal llm

Reference 16

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Observation 40ecb40d-8b52-40eb-8f63-cca626689cc3 · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 17

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Unavailable: canonical work link unavailable.

Observation 0b2efd09-6a65-4065-bb2f-bb74d5075251 · outbound

This paper cites Revisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal Models.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Revisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal Models

Reference 18

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Observation af2d6da7-065f-4bad-873b-d9af5e5e3b80 · outbound

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

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 19

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Observation 40f7086e-4021-4ef2-9a6d-35cf011e9801 · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 20

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Observation 6400ae54-8e11-4b0e-974a-666d9771c0b1 · outbound

This paper cites Can VLMs Play Action Role-Playing Games? Take Black Myth Wukong as a Study Case.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Can VLMs Play Action Role-Playing Games? Take Black Myth Wukong as a Study Case

Reference 21

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Observation 6d27094e-ac80-4478-9cc7-737b3866e3d9 · outbound

This paper cites SOLO: A Single Transformer for Scalable Vision-Language Modeling.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer SOLO: A Single Transformer for Scalable Vision-Language Modeling

Reference 22

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Observation 73e02ea4-56cd-4aeb-be70-1336a6b14ac4 · outbound

This paper cites Vicuna: An open-source chatbot impressing GPT-4 with 90%* ChatGPT quality.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Vicuna: An open-source chatbot impressing GPT-4 with 90%* ChatGPT quality

Reference 23

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Observation 81438696-186d-4102-b4a0-5c48293d3d70 · outbound

This paper cites Xtuner: A toolkit for efficiently fine-tuning llm.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Xtuner: A toolkit for efficiently fine-tuning llm

Reference 24

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Observation 33b02e12-757b-45f5-823f-fd29447ac61a · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 25

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Observation eb885f6b-a024-449c-a5b2-f291cf5bd7e3 · outbound

This paper cites InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Reference 26

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Observation f5e57181-18d6-410e-af4b-e35b9ffeb216 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer An image is worth 16x16 words: Transformers for image recognition at scale

Reference 27

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Observation 4b8e2d69-78ca-461b-93c9-914821742653 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 28

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Observation b3c72ca9-ce90-4dfd-b677-93297f6c9d68 · outbound

This paper cites FeatUp: A Model-Agnostic Framework for Features at Any Resolution.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer FeatUp: A Model-Agnostic Framework for Features at Any Resolution

Reference 29

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent

Reference 30

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Observation 5f912bcb-b483-4bd9-8eef-d73b36f1e3da · outbound

This paper cites SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 31

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This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Making the v in vqa matter: Elevating the role of image understanding in visual question answering

Reference 32

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Observation d242c4f6-fc85-4337-ab09-75c0a09799d2 · outbound

This paper cites Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks

Reference 33

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Hallusionbench: an advanced diagnostic suite for entangled language hallucination and visual illusion in large vision-language models

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer LLaV A-UHD: an lmm perceiving any aspect ratio and high-resolution images

Reference 35

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Observation 464e57b3-2e21-4c87-a474-64c4a3faba6f · outbound

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer VizWiz grand challenge: Answering visual questions from blind people

Reference 36

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer It Is Likely That Your Loss Should be a Likelihood

Reference 37

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Unresolved cited work

Reference 38

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Deep residual learning for image recognition

Reference 39

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Mask R-CNN

Reference 40

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer CogAgent: A Visual Language Model for GUI Agents

Reference 41

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer GQA: A new dataset for real-world visual reasoning and compositional question answering

Reference 42

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Observation 9610f394-12d8-4f88-8063-18e84da21ee6 · outbound

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Synthetic data and artificial neural networks for natural scene text recognition

Reference 43

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Chat-univi: Unified visual representation empowers large language models with image and video understanding

Reference 44

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer DVQA: Understanding data visualizations via question answering

Reference 45

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Observation e61f89e6-39e6-49d9-ab70-abf183630820 · outbound

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Referitgame: Referring to objects in photographs of natural scenes

Reference 46

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Observation bf0c10f1-b32e-4690-9f68-1db2db626a10 · outbound

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer A Diagram Is Worth A Dozen Images

Reference 47

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer A diagram is worth a dozen images

Reference 48

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Observation 844a8005-5df7-4d1f-a926-ccf5b365c54e · outbound

This paper cites On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.601941Z

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Ocr-free document understanding transformer

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.608473Z

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This paper cites Segment Anything.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Segment Anything

Reference 51

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Observation a3300d09-90af-478b-a43a-7b6499cde8d3 · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Visual genome: Connecting language and vision using crowdsourced dense image annotations

Reference 52

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Observation 2c7adf03-c513-4f38-89c0-8eaf96a2b13f · outbound

This paper cites Pix2struct: Screenshot parsing as pretraining for visual language understanding.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Pix2struct: Screenshot parsing as pretraining for visual language understanding

Reference 53

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Observation ebdcab75-016e-4367-8fde-6652120f67dd · outbound

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 54

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Observation 95274e59-dab2-45e1-8daa-0e440bc6809e · outbound

This paper cites OtterHD: A High-Resolution Multi-modality Model.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer OtterHD: A High-Resolution Multi-modality Model

Reference 55

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Observation 2570af2f-4935-46e7-bcce-0fcfa510b934 · outbound

This paper cites BLIP-2: Bootstrapping language-image pre- training with frozen image encoders and large language models.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer BLIP-2: Bootstrapping language-image pre- training with frozen image encoders and large language models

Reference 56

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Observation fb05bf86-a2c6-460a-8300-fb344eaa035b · outbound

This paper cites TokenPacker: Efficient Visual Projector for Multimodal LLM.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer TokenPacker: Efficient Visual Projector for Multimodal LLM

Reference 57

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Observation b3c1b57d-9700-4cc1-bf89-c0f4903b85ab · outbound

This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 58

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Observation f99a26e0-6a84-471e-9778-0f011d2d64ae · outbound

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models

Reference 59

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Observation fabb162a-e7d9-4bd3-a0f6-dc13ef9390b1 · outbound

This paper cites Vila: On pre-training for visual language models.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Vila: On pre-training for visual language models

Reference 60

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Observation 9a0cb0c4-3b8b-4c2e-ae79-f1ebbd2aa2f7 · outbound

This paper cites Microsoft coco: Common objects in context.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Microsoft coco: Common objects in context

Reference 62

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Observation f17a4449-0be6-4843-b37d-470c68708fc9 · outbound

This paper cites Feature pyramid networks for object detection.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Feature pyramid networks for object detection

Reference 63

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Observation a28a15d7-6341-41e9-9f43-9fd5a5a1b2c0 · outbound

This paper cites SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.690390Z

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Observation a07460a7-c114-436b-b1ff-0d8207bc7a00 · outbound

This paper cites Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Reference 65

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Observation 4a415545-e2e1-4593-8ba9-e0cca7385aa9 · outbound

This paper cites LLaV A-NeXT: Improved reasoning, ocr, and world knowledge.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer LLaV A-NeXT: Improved reasoning, ocr, and world knowledge

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.703540Z

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Unavailable: canonical work link unavailable.

Observation f6964874-820b-4799-b1a9-182c9f0838a8 · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Improved Baselines with Visual Instruction Tuning

Reference 67

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Observation 130ca913-574d-468a-9e4b-3dcc5753d830 · outbound

This paper cites Visual instruction tuning.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Visual instruction tuning

Reference 68

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Unavailable: canonical work link unavailable.

Observation adef2197-0dab-46d3-a36c-e5e5a1026e85 · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer MMBench: Is Your Multi-modal Model an All-around Player?

Reference 69

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Unavailable: canonical work link unavailable.

Observation 700232e4-a985-43e0-9b14-21cae2eeb0d8 · outbound

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

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models

Reference 70

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Unavailable: canonical work link unavailable.

Observation b9c8882b-a001-4348-bb7c-b9d814c12715 · outbound

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

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document

Reference 71

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Unavailable: canonical work link unavailable.

Observation 570199d5-1f0c-4c73-b2e3-9974e24a9c9b · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Swin transformer: Hierarchical vision transformer using shifted windows

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.741534Z

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Unavailable: canonical work link unavailable.

Observation d7927ca1-ff8f-4ae2-96ca-87fe29363896 · outbound

This paper cites A convnet for the 2020s.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer A convnet for the 2020s

Reference 73

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Observation b9d2e19d-f8bf-4f2d-b833-61b343c53b28 · outbound

This paper cites Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution

Reference 74

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Unavailable: canonical work link unavailable.

Observation 62e9c1e5-1b15-45ae-89aa-2c1521209817 · outbound

This paper cites an unresolved cited work.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.758759Z

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Unavailable: canonical work link unavailable.

Observation c8f54277-54f8-4a76-8275-0f4db1c07298 · outbound

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

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 77

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Unavailable: canonical work link unavailable.

Observation d81f0077-0e19-4813-a18b-2556d0eb8c78 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 78

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Unavailable: canonical work link unavailable.

Observation a19b12ba-10c9-4aeb-b341-5ae3d70213c4 · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 79

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Unavailable: canonical work link unavailable.

Observation d1fbcd2d-5eeb-4534-b26f-702e31d809bf · outbound

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

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 80

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Unavailable: canonical work link unavailable.

Observation 3feb0f45-64a9-4928-aba1-01b0af72d850 · outbound

This paper cites Generation and comprehension of unambiguous object descriptions.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Generation and comprehension of unambiguous object descriptions

Reference 81

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Observation c183780f-367b-400a-8d60-eec880502efa · outbound

This paper cites Ok-vqa: A visual question answering benchmark requiring external knowledge.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Ok-vqa: A visual question answering benchmark requiring external knowledge

Reference 82

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Observation 205240e1-db18-4b72-8830-f1ed597a8fe8 · outbound

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

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.815486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c73cdfa1-7b31-4b9f-9cdc-5b6cdeee9f75 · outbound

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LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Unresolved cited work

Reference 85

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Observation 23cfa073-355a-4aaf-bacc-9af7ab0b407c · outbound

This paper cites Scene text recognition using higher order language priors.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Scene text recognition using higher order language priors

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:01.696298Z

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Observation 30e4065f-cd26-455c-8c27-ea349fe54298 · outbound

This paper cites Mishra, K.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Mishra, K

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.833230Z

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Observation dfff296f-3796-4572-b448-a7499d27f521 · outbound

This paper cites OCR-VQA: Visual question answering by reading text in images.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer OCR-VQA: Visual question answering by reading text in images

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.838784Z

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Unavailable: canonical work link unavailable.

Observation af7366e7-23f5-42b2-9096-b4a98fa4865c · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer DINOv2: Learning Robust Visual Features without Supervision

Reference 89

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Unavailable: canonical work link unavailable.

Observation 6038b06d-71e0-4c7a-9447-ec297d7674db · outbound

This paper cites Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:01.649784Z

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Observation bbad4ce0-ba70-4b7f-ba12-df7744ec0fc0 · outbound

This paper cites Learning transferable visual models from natural language supervision.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Learning transferable visual models from natural language supervision

Reference 91

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Unavailable: canonical work link unavailable.

Observation 87ce0e74-8d76-4f8b-8e4a-29170224c869 · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.860098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e5157a1-3b5b-4027-8f4e-6df2cf4d1be6 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer U-net: Convolutional networks for biomedical image segmentation

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:01.619346Z

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Observation 1ffbbb74-828d-4ef2-967e-98bc56d8650d · outbound

This paper cites A-okvqa: A benchmark for visual question answering using world knowledge.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer A-okvqa: A benchmark for visual question answering using world knowledge

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:01.596611Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c92c68b8-f2a8-488e-b768-ff2c6b798bd8 · outbound

This paper cites Llava-prumerge: Adaptive token reduction for efficient large multimodal models.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Llava-prumerge: Adaptive token reduction for efficient large multimodal models

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.880614Z

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Unavailable: canonical work link unavailable.

Observation bdecb3c0-182d-4649-bdcf-6d1ebd23bd73 · outbound

This paper cites https://sharegpt.com/, 2023.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer https://sharegpt.com/, 2023

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:01.577922Z

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Observation 6ab493a7-7d1a-4b78-ac95-00766ae2826f · outbound

This paper cites Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.893904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d416a56a-fc12-4a0c-a471-0d5edb227245 · outbound

This paper cites Textcaps: a dataset for image captioning with reading comprehension.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Textcaps: a dataset for image captioning with reading comprehension

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.902180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4749b436-e51c-4900-9937-13a9854f3f11 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 99

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77deabb1-6b4e-4b69-ba1f-1533f34d298a · outbound

This paper cites Towards VQA models that can read.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Towards VQA models that can read

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:01.547774Z

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Observation 8026eddf-f93d-42e7-8f6c-3b3eaa0da6f7 · outbound

This paper cites Document collection visual question answering.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Document collection visual question answering

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:01.530032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 81ff6200-b0b5-4bd7-bfe0-fb453f77266f · outbound

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

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.925267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f3aa4d2-32a4-4ba4-8d90-210d7364700f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer LLaMA: Open and Efficient Foundation Language Models

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.931076Z

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Pith citing papers

Observation 73a88199-3b83-4783-b056-416ef5d6628f · inbound

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding cites this paper.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer

Reference 35

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Unavailable: canonical work link unavailable.

Observation 534df0bd-a894-4c44-9e34-44b76cf1d0db · inbound

Video-R1: Reinforcing Video Reasoning in MLLMs cites this paper.

Video-R1: Reinforcing Video Reasoning in MLLMs LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:43:00.321276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7bd86063-dc8f-43ee-b910-3d8236c3ae10 · inbound

Reinforcing Video Reasoning with Focused Thinking cites this paper.

Reinforcing Video Reasoning with Focused Thinking LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:12.643287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d866024-da5b-4073-b695-8bf8b0b3a9ae · inbound

Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models cites this paper.

Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T00:48:34.447271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90a9cec5-14ed-48b0-9266-55363b3a1af6 · inbound

Reinforcing VLMs to Use Tools for Detailed Visual Reasoning Under Resource Constraints cites this paper.

Reinforcing VLMs to Use Tools for Detailed Visual Reasoning Under Resource Constraints LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:50.575266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f7e994b-b245-48c3-bdd9-998ef8bb5e91 · inbound

DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World cites this paper.

DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:40.766319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43792357-ef21-498d-85c7-8bdd247bec22 · inbound

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency cites this paper.

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer

Reference 181

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:58:58.975128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 326c4e2a-52cf-4612-b9f8-7edb3c605d47 · inbound

Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models cites this paper.

Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:55:52.954889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cdb03c63-ac96-41cd-b557-54e2890f3a6c · inbound

RADIO1D: Elastic Representations for Condensed Vision Modeling cites this paper.

RADIO1D: Elastic Representations for Condensed Vision Modeling LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T01:07:20.766474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.