Paper Citation Record · LEDGER

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation

As of 8 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 7 inbound Pith citation observations for arXiv:2505.23043.

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

pith.paper-citation-record.v1
2505.23043 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:00:59.644394Z

measured 27 of 27 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:06.879405Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T00:04:22.359705Z

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy2
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1633aeeb-f418-4f81-ad87-d005d7b4126e · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:57.690899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82528c4f-51c5-4214-9f6a-e7557d20293d · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:57.923032Z

Source-reported events for the cited work

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Observation cb0105ff-ebfd-4517-88d0-7522bd9265c6 · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.044538Z

Source-reported events for the cited work

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Observation e97a0651-39e3-4f7a-bef6-fdb932b66777 · outbound

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

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation Emu3: Next-Token Prediction is All You Need

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.375909Z

Source-reported events for the cited work

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Observation 99aaf820-8c5e-4420-8422-7c36a7c5b90e · outbound

This paper cites MetaMorph: Multimodal Understanding and Generation via Instruction Tuning.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation MetaMorph: Multimodal Understanding and Generation via Instruction Tuning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.491677Z

Source-reported events for the cited work

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Observation 88636981-0a87-40b5-98da-fadb43d3c281 · outbound

This paper cites Liquid: Language Models are Scalable and Unified Multi-modal Generators.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation Liquid: Language Models are Scalable and Unified Multi-modal Generators

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.581514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5a6238d-09c5-477c-81d2-1735344b6635 · outbound

This paper cites MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.779890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ed10ee-6de4-4cfc-bbad-9cbcf6387e45 · outbound

This paper cites Emu: Generative Pretraining in Multimodality.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation Emu: Generative Pretraining in Multimodality

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.920678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8bc3102-07b3-4228-a66a-a07cca591a52 · outbound

This paper cites Instruction Tuning with GPT-4.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation Instruction Tuning with GPT-4

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:59.061087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 485851a2-adb4-4330-affd-9aa9646c0757 · outbound

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

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:59.135161Z

Source-reported events for the cited work

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Observation de8b0986-ae8e-4247-9022-ae1ddb487e73 · outbound

This paper cites Lmms- eval: accelerating the development of large multimoal models (2024).URL: https://github.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation Lmms- eval: accelerating the development of large multimoal models (2024).URL: https://github

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:59.992004Z

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 94957f9f-b3b4-43be-a67e-93cdd9612117 · outbound

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

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:59.314486Z

Source-reported events for the cited work

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Observation d04638e1-b8f4-44e1-a21e-6c2e57cbda22 · outbound

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

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:59.421149Z

Source-reported events for the cited work

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Observation 1136db49-8e14-48c3-8528-270948dfa0b4 · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation Evaluating Object Hallucination in Large Vision-Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:59.532990Z

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Observation e4721438-4639-474b-b2f0-1b4b5fca92fc · outbound

This paper cites _u” refers to understanding-only; “_g.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation _u” refers to understanding-only; “_g

Reference 393

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:59.855360Z

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 bcf40dac-dd34-4641-9038-bc2f8d4cb9c7 · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.975213Z

Source-reported events for the cited work

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Observation f0c5e914-991b-4de0-87ea-f8c90b403eca · outbound

This paper cites DreamLLM: Synergistic Multimodal Comprehension and Creation.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation DreamLLM: Synergistic Multimodal Comprehension and Creation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.701131Z

Source-reported events for the cited work

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Observation a3ee0b67-963b-4bf2-8664-3c3fbb24b85e · outbound

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

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:57.782523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 369ca1a0-1eff-4d6e-8cc4-9fbe475d1db6 · outbound

This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.276354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69654701-8958-473e-93a8-dc96e7cd432a · outbound

This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.148282Z

Source-reported events for the cited work

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Pith citing papers

Observation 844b3e6a-ea89-4fc1-b5cf-a92b9f6d2639 · inbound

UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation cites this paper.

UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-12T17:34:27.086711Z

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 bfbb7e93-76ba-4638-918e-68d65e3803b1 · inbound

Skywork-R1V3 Technical Report cites this paper.

Skywork-R1V3 Technical Report Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:06.879405Z

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Observation 46b1327c-347f-44a8-ab5b-a159e9c18129 · inbound

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation cites this paper.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.520524Z

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Observation 90b13ec3-a465-48dd-ba92-993348a6ce22 · inbound

Transferability Between Understanding and Generation in Unified Multimodal Models cites this paper.

Transferability Between Understanding and Generation in Unified Multimodal Models Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation

Reference 108

Resolution: unresolved; no resolver link, observed 2026-07-11T19:17:19.634242Z

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Observation 3739057f-d01c-45e9-a4a0-4a849778039b · inbound

Unified Audio Intelligence Without Regressing on Text Intelligence cites this paper.

Unified Audio Intelligence Without Regressing on Text Intelligence Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation

Reference 261

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T00:04:22.360990Z

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 e2ee9f89-6e09-4582-958a-ab9830eeb666 · inbound

Unified Audio Intelligence Without Regressing on Text Intelligence cites this paper.

Unified Audio Intelligence Without Regressing on Text Intelligence Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation

Reference 261

Resolution: unresolved; no resolver link, observed 2026-07-11T07:46:49.059192Z

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Observation 13e1738b-ddd8-4ed3-877e-099c2c1db321 · inbound

Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes cites this paper.

Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation

Reference 156

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:28.215574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.