Paper Citation Record · LEDGER

Unified Multimodal Understanding via Byte-Pair Visual Encoding

As of 7 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 4 inbound Pith citation observations for arXiv:2506.23639.

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

pith.paper-citation-record.v1
2506.23639 v1

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:41:57.394029Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T12:10:53.720348Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

74 of 74 outbound references displayed

verified exact3
verified fuzzy14
unresolved57
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f10ad92-c19c-4b6d-9332-606a508c5f8a · outbound

This paper cites A Survey on Multimodal Large Language Models.

Unified Multimodal Understanding via Byte-Pair Visual Encoding A Survey on Multimodal Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:50.412114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac1ecf7c-2e98-4186-b378-21b5978d53cc · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding Visual instruction tuning.Advances in neural information processing systems, 36, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:50.528861Z

Source-reported events for the cited work

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Observation 97bfa309-ed67-4035-a364-4fff9c880e7d · outbound

This paper cites EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents.

Unified Multimodal Understanding via Byte-Pair Visual Encoding EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:50.645391Z

Source-reported events for the cited work

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Observation 94ccf16c-1968-4899-ad09-671fccbaec06 · outbound

This paper cites Multimodal machine learning: A survey and taxonomy.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Multimodal machine learning: A survey and taxonomy

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:50.786380Z

Source-reported events for the cited work

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Observation 60152022-7859-45d1-8304-401b38e3e0be · outbound

This paper cites How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model.

Unified Multimodal Understanding via Byte-Pair Visual Encoding How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:50.893822Z

Source-reported events for the cited work

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Observation 62a8891b-c809-48cf-b8fa-8d0059b3e8d1 · outbound

This paper cites Can MLLMs Perform Text-to-Image In-Context Learning?.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Can MLLMs Perform Text-to-Image In-Context Learning?

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:41:58.277662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a1e2ff2-eeb0-438f-a881-2b65ee2bb72e · outbound

This paper cites Vision transformer with quadrangle attention.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Vision transformer with quadrangle attention.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:42:00.700109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dceb408a-7db8-4a2d-81ec-511e00dab3db · outbound

This paper cites Unified language-vision pretraining with dynamic discrete visual tokenization.arXiv preprint arXiv:2309.04669, 2023.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Unified language-vision pretraining with dynamic discrete visual tokenization.arXiv preprint arXiv:2309.04669, 2023

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:51.188244Z

Source-reported events for the cited work

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Observation a2c3ae77-95fe-4fe4-a46a-9825521193aa · outbound

This paper cites VideoOrion: Tokenizing Object Dynamics in Videos.

Unified Multimodal Understanding via Byte-Pair Visual Encoding VideoOrion: Tokenizing Object Dynamics in Videos

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:51.372359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3db720f-9570-438f-9fc3-f03e80fbcb8a · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding Learning transferable visual models from natural language supervision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:51.514992Z

Source-reported events for the cited work

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Observation 40c626f2-5ee3-4f25-95ef-a2428b0320ff · outbound

This paper cites Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:51.615891Z

Source-reported events for the cited work

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Observation 14df6c30-c4ee-4b25-8cef-7c9e5cd860f6 · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:51.726124Z

Source-reported events for the cited work

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Observation e7959311-e83a-4d77-ab7c-fac51c3246bd · outbound

This paper cites Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:51.797613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c05a16ac-6e9d-4f4c-971b-e8f615e5a5c7 · outbound

This paper cites UniCode: Learning a Unified Codebook for Multimodal Large Language Models.

Unified Multimodal Understanding via Byte-Pair Visual Encoding UniCode: Learning a Unified Codebook for Multimodal Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:51.878757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb917842-eb1b-4b0d-9024-15256782abc8 · outbound

This paper cites From pixels to tokens: Byte-pair encoding on quantized visual modalities.

Unified Multimodal Understanding via Byte-Pair Visual Encoding From pixels to tokens: Byte-pair encoding on quantized visual modalities

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:51.980688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbae2431-b06b-437d-ba45-76293f103156 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Neural Machine Translation of Rare Words with Subword Units

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:52.044917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32554849-e934-45eb-9793-572d81adae65 · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:52.179859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aa4c49d-5a16-4c3d-8688-d66f604f5dc2 · outbound

This paper cites Theoretical Analysis of Byte-Pair Encoding.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Theoretical Analysis of Byte-Pair Encoding

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:52.290519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 904da95a-eb36-46a0-a7e4-908e7b5f86fb · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 2017.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Attention is all you need.Advances in Neural Information Processing Systems, 2017

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:52.416594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 378860cf-f482-455b-8674-b479503e0e1e · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding Sigmoid loss for language image pre-training

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:52.581194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 908e3bf0-d01f-4182-8f0c-6fe187982334 · outbound

This paper cites Vitae: Vision transformer advanced by exploring intrinsic inductive bias.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Vitae: Vision transformer advanced by exploring intrinsic inductive bias

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:42:00.454518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 85e6494a-1958-449a-b4fe-15ba1a6f0e11 · outbound

This paper cites Vitaev2: Vision transformer advanced by exploring inductive bias for image recognition and beyond.International Journal of Computer Vision, pages 1–22, 2023.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Vitaev2: Vision transformer advanced by exploring inductive bias for image recognition and beyond.International Journal of Computer Vision, pages 1–22, 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:42:00.101269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3092ac9c-8f69-41a3-8edc-562323d971d7 · outbound

This paper cites Improved baselines with visual instruction tuning.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Improved baselines with visual instruction tuning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:52.938876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bb0f35c-9ca9-485e-ad51-fb9a0cc4e820 · outbound

This paper cites Emu: Generative Pretraining in Multimodality.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Emu: Generative Pretraining in Multimodality

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:53.036347Z

Source-reported events for the cited work

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Observation 4041ed2b-084f-4f77-a239-b461f30b494a · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Emu3: Next-Token Prediction is All You Need

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:53.151460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 096c485d-06cc-4c21-bcd4-a00f13172303 · outbound

This paper cites Deepseek-vl: Towards real-world vision-language understanding, 2024.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Deepseek-vl: Towards real-world vision-language understanding, 2024

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:53.268525Z

Source-reported events for the cited work

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Observation b3724ed4-3bc6-4ad2-871a-39f8e79c6dce · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

Unified Multimodal Understanding via Byte-Pair Visual Encoding DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:53.387232Z

Source-reported events for the cited work

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Observation f78c38b3-34c1-48ad-8341-62f1348a8be0 · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:53.485037Z

Source-reported events for the cited work

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Observation 727709ad-1e12-44a2-b593-e034d2d5b8ea · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:53.577296Z

Source-reported events for the cited work

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Observation 0a063002-233b-4342-ab32-2ea48966291b · outbound

This paper cites Qwen2.5-VL Technical Report.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Qwen2.5-VL Technical Report

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:53.671687Z

Source-reported events for the cited work

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Observation d60b045a-5505-4938-a6af-2c0fb6f8b28a · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:53.737982Z

Source-reported events for the cited work

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Observation dfa9bd41-838a-417c-8080-dccc295891f5 · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:53.815994Z

Source-reported events for the cited work

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Observation df313483-fe6a-4964-a8f7-6a58ae9e0d70 · outbound

This paper cites From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities.

Unified Multimodal Understanding via Byte-Pair Visual Encoding From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:53.953513Z

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Observation e8525320-212f-4275-b23c-269bad6a5898 · outbound

This paper cites A systematic literature review on multimodal machine learning: Applications, challenges, gaps and future directions.Ieee access, 11:14804–14831, 2023.

Unified Multimodal Understanding via Byte-Pair Visual Encoding A systematic literature review on multimodal machine learning: Applications, challenges, gaps and future directions.Ieee access, 11:14804–14831, 2023

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:41:59.945916Z

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Observation f975a922-0aaa-4b32-b46c-2f3a787244e7 · outbound

This paper cites Vision language models are blind.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Vision language models are blind

Reference 35

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Observation dc7a07c4-4dc1-4b6b-971d-e4ca46e75119 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Hallucination of Multimodal Large Language Models: A Survey

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:54.265985Z

Source-reported events for the cited work

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Observation 490c5c7a-309b-4952-9dd1-f72c7038452c · outbound

This paper cites Visual Hallucinations of Multi-modal Large Language Models.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Visual Hallucinations of Multi-modal Large Language Models

Reference 37

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Source-reported events for the cited work

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Observation ad0bdb8b-76c9-4534-8da4-0fe5fbeff5ad · outbound

This paper cites Cognitive Mirage: A Review of Hallucinations in Large Language Models.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Cognitive Mirage: A Review of Hallucinations in Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:54.444370Z

Source-reported events for the cited work

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Observation 7d1c231f-6acf-4df2-a2fd-6eec4c216bde · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Taming transformers for high-resolution image synthesis

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:54.525356Z

Source-reported events for the cited work

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Observation 8cd077cc-ae94-4316-a74c-32b7d553a2a1 · outbound

This paper cites Neural discrete representation learning.Advancesin neural information processing systems, 30, 2017.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Neural discrete representation learning.Advancesin neural information processing systems, 30, 2017

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:54.592659Z

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Observation 5edc9fc9-745c-495d-a8e4-b31378f804c5 · outbound

This paper cites Generating diverse high-fidelity images with vq-vae-2.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Generating diverse high-fidelity images with vq-vae-2

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:54.650809Z

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Observation 289f6d8b-521d-482b-9a11-6bfb53eb8c6f · outbound

This paper cites Investigating the effectiveness of bpe: The power of shorter sequences.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Investigating the effectiveness of bpe: The power of shorter sequences

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:41:59.797657Z

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Observation 9136c071-c921-468c-b820-01f716a8a1f9 · outbound

This paper cites Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:54.806449Z

Source-reported events for the cited work

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Observation 4a4cc56b-1ec5-4cc6-8a9d-a9b0568455fa · outbound

This paper cites Language Models Still Struggle to Zero-shot Reason about Time Series.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Language Models Still Struggle to Zero-shot Reason about Time Series

Reference 44

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Observation 7d9971e9-a33c-4ab5-a4fc-725df0b3063d · outbound

This paper cites Toward a Theory of Tokenization in LLMs.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Toward a Theory of Tokenization in LLMs

Reference 45

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Observation 99163494-5a32-4d4a-af9d-d3e0e4e63147 · outbound

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Unified Multimodal Understanding via Byte-Pair Visual Encoding Pixel-level bpe for auto-regressive image generation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:41:59.606670Z

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Observation 65e2c676-d829-4538-a94d-e73944121cd5 · outbound

This paper cites Analyzing The Language of Visual Tokens.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Analyzing The Language of Visual Tokens

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:55.095533Z

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Observation e3fe4b26-24f5-4bad-a652-228daf10189d · outbound

This paper cites A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models.

Unified Multimodal Understanding via Byte-Pair Visual Encoding A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:41:57.746183Z

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Observation 077de308-52d3-442a-bc02-bbce26764b6a · outbound

This paper cites Exploring Selective Layer Fine-Tuning in Federated Learning.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Exploring Selective Layer Fine-Tuning in Federated Learning

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:41:57.626943Z

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Observation 981bc695-6f18-4fbd-8167-9004f152bb67 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:41:59.442424Z

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Observation 12192f30-2fac-4490-97fa-162e39571921 · outbound

This paper cites A Survey on Multimodal Benchmarks: In the Era of Large AI Models.

Unified Multimodal Understanding via Byte-Pair Visual Encoding A Survey on Multimodal Benchmarks: In the Era of Large AI Models

Reference 51

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Source-reported events for the cited work

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Observation 2bd0f30d-8816-4898-adaf-fc8413a2e385 · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding A Survey on Benchmarks of Multimodal Large Language Models

Reference 52

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Observation 7d3a3677-1ddb-407e-abe5-0762e4c7c939 · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding Making the v in vqa matter: Elevating the role of image understanding in visual question answering

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:55.516529Z

Source-reported events for the cited work

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Observation 5bf461eb-40f4-4ff1-b045-c705725af440 · outbound

This paper cites Vizwiz grand challenge: Answering visual questions from blind people.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Vizwiz grand challenge: Answering visual questions from blind people

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:55.606187Z

Source-reported events for the cited work

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Observation 72cb88e8-64a8-4d22-bd2e-47e4db4b67fc · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding MMBench: Is Your Multi-modal Model an All-around Player?

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:55.671714Z

Source-reported events for the cited work

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Observation 81ba791c-6e18-4c35-8f3f-9e6042cd0f98 · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

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Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:55.809922Z

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Observation 5a3742cd-c88d-4525-8100-e84213ff1ae3 · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:55.904538Z

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Observation d6c8899b-482b-4dc1-8a79-b03640c421f4 · outbound

This paper cites Evaluating object hallucination in large vision-language models.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Evaluating object hallucination in large vision-language models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:41:59.319725Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 38ca8925-6387-4d10-93fb-9a00c8f191f3 · outbound

This paper cites Instructblip: towards general-purpose vision-language models with instruction tuning.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Instructblip: towards general-purpose vision-language models with instruction tuning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:41:59.178757Z

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Observation 14b2c4c5-2293-4d61-b0c4-41a22caf16cb · outbound

This paper cites Visual instruction tuning, 2023.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Visual instruction tuning, 2023

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:56.195219Z

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Observation b59c49a0-dc63-46cf-967d-66606af31a34 · outbound

This paper cites mplug-owl: Modularization empowers large language models with multimodality, 2023.

Unified Multimodal Understanding via Byte-Pair Visual Encoding mplug-owl: Modularization empowers large language models with multimodality, 2023

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:41:59.070947Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7497e7c1-2a3d-44d7-a0cf-e234318c7f90 · outbound

This paper cites mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration, 2023.

Unified Multimodal Understanding via Byte-Pair Visual Encoding mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration, 2023

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:56.453016Z

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Observation c35a48af-9d8b-4ec5-8b89-de100a1fd173 · outbound

This paper cites Hyperllava: Dynamic visual and language expert tuning for multimodal large language models, 2024.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Hyperllava: Dynamic visual and language expert tuning for multimodal large language models, 2024

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:41:58.920856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0bdf722b-94a7-4898-a7a9-10dd7bf76d1d · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:56.615410Z

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Observation 0d5f0ccf-bdad-4abd-aa59-8982c2369309 · outbound

This paper cites Vila: On pre-training for visual language models, 2023.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Vila: On pre-training for visual language models, 2023

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:56.711512Z

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Observation b6543114-bace-461b-889d-350cb30c3cfe · outbound

This paper cites The Llama 3 Herd of Models.

Unified Multimodal Understanding via Byte-Pair Visual Encoding The Llama 3 Herd of Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:56.795379Z

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Observation b98bea3a-bbb0-48c6-81be-9b3e47a38762 · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:41:58.779225Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e4ee348a-c6c8-4e94-bbd9-24ef3c999c51 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.Advancesin Neural Information Processing Systems, 35:25278–25294, 2022.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Laion-5b: An open large-scale dataset for training next generation image-text models.Advancesin Neural Information Processing Systems, 35:25278–25294, 2022

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:41:58.633479Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb35cce0-617a-4291-8d8a-ba3cbe3e9ca5 · outbound

This paper cites Referitgame: Referring to objects in photographs of natural scenes.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Referitgame: Referring to objects in photographs of natural scenes

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:57.082546Z

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Observation f070fbc9-7d31-495a-b523-63b483c7784c · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding A-okvqa: A benchmark for visual question answering using world knowledge

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:57.138710Z

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Observation 01018029-1a25-490c-90db-70a372e72504 · outbound

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

Unified Multimodal Understanding via Byte-Pair Visual Encoding LLaVA-OneVision: Easy Visual Task Transfer

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:57.184367Z

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Observation 4af90841-7a56-4b60-89ce-66678354582c · outbound

This paper cites Allava: Harnessing gpt4v-synthesized data for a lite vision-language model, 2024.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Allava: Harnessing gpt4v-synthesized data for a lite vision-language model, 2024

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:57.241233Z

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Observation 4cb5fe32-b9e9-42ac-9d5d-df4e41a384bb · outbound

This paper cites Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data.

Unified Multimodal Understanding via Byte-Pair Visual Encoding Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:57.327402Z

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Observation a65df49f-9baf-4d94-89dc-31f0ad9adbc7 · outbound

This paper cites • Reasoning Data (RD): We utilize 504K general QA entries and 343K reasoning-focused entries from the LLaVA-OneVision Dataset [71].

Unified Multimodal Understanding via Byte-Pair Visual Encoding • Reasoning Data (RD): We utilize 504K general QA entries and 343K reasoning-focused entries from the LLaVA-OneVision Dataset [71]

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:41:58.451432Z

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Pith citing papers

Observation 0e248dc9-df63-4d2e-8dbc-eb43593f295e · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey Unified Multimodal Understanding via Byte-Pair Visual Encoding

Reference 218

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:48.550981Z

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Observation 6f14d2a7-9d87-4387-94ef-c078c35a3c65 · inbound

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning cites this paper.

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning Unified Multimodal Understanding via Byte-Pair Visual Encoding

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-13T16:52:59.438120Z

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Observation 33d616b9-24d6-49f7-b3c2-152668849488 · inbound

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning cites this paper.

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning Unified Multimodal Understanding via Byte-Pair Visual Encoding

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-13T12:10:53.720348Z

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Observation 8cb96130-6798-494e-8c20-cfd5a500a861 · inbound

Being-H0.7: A Latent World-Action Model from Egocentric Videos cites this paper.

Being-H0.7: A Latent World-Action Model from Egocentric Videos Unified Multimodal Understanding via Byte-Pair Visual Encoding

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:01:04.671383Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.