Paper Citation Record · LEDGER

Dual Diffusion for Unified Image Generation and Understanding

As of 14 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 11 inbound Pith citation observations for arXiv:2501.00289.

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

pith.paper-citation-record.v1
2501.00289 v2

Coverage vector

measured 92 of 92 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:02:07.964380Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:28:32.362554Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T13:02:18.322222Z

Reference resolution

92 of 92 outbound references displayed

verified exact0
verified fuzzy25
unresolved66
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12614b94-8db3-4552-9103-3fcda37994f4 · outbound

This paper cites GPT-4 Technical Report.

Dual Diffusion for Unified Image Generation and Understanding GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.535461Z

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Unavailable: canonical work link unavailable.

Observation 4f830245-6bd7-45d8-b696-4ff51a1c28c3 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Dual Diffusion for Unified Image Generation and Understanding Flamingo: a visual language model for few-shot learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.541244Z

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Observation ad0f78d8-c3f1-4973-973d-25b316d7e2ff · outbound

This paper cites Reverse-time diffusion equation mod- els.

Dual Diffusion for Unified Image Generation and Understanding Reverse-time diffusion equation mod- els

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.546269Z

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Observation ca9ba559-4f16-4a77-b559-01469055e3e7 · outbound

This paper cites Structured denoising dif- fusion models in discrete state-spaces.

Dual Diffusion for Unified Image Generation and Understanding Structured denoising dif- fusion models in discrete state-spaces

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.551047Z

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Observation 56943249-3212-46e4-9730-4315a4b6d84b · outbound

This paper cites Openflamingo: An open-source frame- work for training large autoregressive vision-language mod- els, 2023.

Dual Diffusion for Unified Image Generation and Understanding Openflamingo: An open-source frame- work for training large autoregressive vision-language mod- els, 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.556093Z

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Observation c1965964-ac7f-4f26-9c84-5c1b953a397b · outbound

This paper cites Qwen-vl: A versatile vision-language model for un- derstanding, localization, text reading, and beyond, 2023.

Dual Diffusion for Unified Image Generation and Understanding Qwen-vl: A versatile vision-language model for un- derstanding, localization, text reading, and beyond, 2023

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.561312Z

Source-reported events for the cited work

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Observation bd605e9f-67f2-4df8-bbc1-2ab7cac49b69 · outbound

This paper cites One transformer fits all distributions in multi-modal diffu- sion at scale.

Dual Diffusion for Unified Image Generation and Understanding One transformer fits all distributions in multi-modal diffu- sion at scale

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.566136Z

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Observation 09d5f859-714c-4b32-a2ea-a9a90571c2ac · outbound

This paper cites Vizwiz: nearly real-time answers to visual questions.

Dual Diffusion for Unified Image Generation and Understanding Vizwiz: nearly real-time answers to visual questions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.571001Z

Source-reported events for the cited work

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Observation cd54cb74-3fc5-49fb-ad6a-79fb2f58ec0a · outbound

This paper cites Language Models are Few-Shot Learners.

Dual Diffusion for Unified Image Generation and Understanding Language Models are Few-Shot Learners

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.576429Z

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Observation 7aee87cd-613b-4e54-9fcc-4bd4d9b978bd · outbound

This paper cites Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,.

Dual Diffusion for Unified Image Generation and Understanding Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.581347Z

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Observation 59817b7a-a16f-4ccd-9710-f1310c4e2075 · outbound

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

Dual Diffusion for Unified Image Generation and Understanding ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.586294Z

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Observation 7203fae7-e095-4923-9c80-a057ab80e1cd · outbound

This paper cites Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning.

Dual Diffusion for Unified Image Generation and Understanding Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.591748Z

Source-reported events for the cited work

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Observation 2faa5857-6ba0-4b48-ad13-9d3c01f7b4fc · outbound

This paper cites Ex- panding performance boundaries of open-source multimodal models with model, data, and test-time scaling, 2025.

Dual Diffusion for Unified Image Generation and Understanding Ex- panding performance boundaries of open-source multimodal models with model, data, and test-time scaling, 2025

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.596687Z

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Observation de9daf0c-0f99-488d-b378-75d101d30b85 · outbound

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

Dual Diffusion for Unified Image Generation and Understanding Instructblip: Towards general- purpose vision-language models with instruction tuning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.601154Z

Source-reported events for the cited work

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Observation 090fbbe5-ba13-48da-a809-22bfe8708d5c · outbound

This paper cites Diffusion models beat gans on image synthesis.

Dual Diffusion for Unified Image Generation and Understanding Diffusion models beat gans on image synthesis

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.606056Z

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Observation 26b5011a-6190-45d1-95a2-7f294344c698 · outbound

This paper cites Continuous diffusion for categorical data.

Dual Diffusion for Unified Image Generation and Understanding Continuous diffusion for categorical data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.610619Z

Source-reported events for the cited work

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Observation d0df6326-2066-45a5-ab1e-fcf6cf96f285 · outbound

This paper cites DreamLLM: Synergistic multimodal com- prehension and creation.

Dual Diffusion for Unified Image Generation and Understanding DreamLLM: Synergistic multimodal com- prehension and creation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.615721Z

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Observation cd51f741-1ab5-49f0-946c-b8753c1bee38 · outbound

This paper cites The Llama 3 Herd of Models.

Dual Diffusion for Unified Image Generation and Understanding The Llama 3 Herd of Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.620267Z

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Observation ebce373a-e02e-4d81-b674-7c46aac7f1d7 · outbound

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

Dual Diffusion for Unified Image Generation and Understanding Taming transformers for high-resolution image synthesis

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.625688Z

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Observation 930f4408-39f7-43c5-82a4-c79502c14177 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

Dual Diffusion for Unified Image Generation and Understanding Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:02:09.140942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a4d15cd5-6240-4594-ae61-5553ae042622 · outbound

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

Dual Diffusion for Unified Image Generation and Understanding MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.635023Z

Source-reported events for the cited work

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Observation 78465120-2039-486d-8f58-0bce3a27cb57 · outbound

This paper cites Datacomp: In search of the next generation of multimodal datasets, 2023.

Dual Diffusion for Unified Image Generation and Understanding Datacomp: In search of the next generation of multimodal datasets, 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:02:09.124939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 70ca07cd-d460-41aa-aafc-a56c2210b7c7 · outbound

This paper cites Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers.

Dual Diffusion for Unified Image Generation and Understanding Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.643640Z

Source-reported events for the cited work

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Observation c3f792e5-a7e0-47b7-a4e7-37dc30453433 · outbound

This paper cites Discrete Flow Matching.

Dual Diffusion for Unified Image Generation and Understanding Discrete Flow Matching

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.647704Z

Source-reported events for the cited work

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Observation 1cf65f1b-7790-4aa7-8ee8-aa3128b26611 · outbound

This paper cites Planting a SEED of Vision in Large Language Model.

Dual Diffusion for Unified Image Generation and Understanding Planting a SEED of Vision in Large Language Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.652832Z

Source-reported events for the cited work

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Observation 19b6c957-0c07-4a83-a829-506788e29008 · outbound

This paper cites Geneval: An object-focused framework for evaluating text- to-image alignment, 2023.

Dual Diffusion for Unified Image Generation and Understanding Geneval: An object-focused framework for evaluating text- to-image alignment, 2023

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.656919Z

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Observation 4de7c55c-9195-4211-8e07-c22878fc2d6e · outbound

This paper cites Making the V in VQA matter: Ele- vating the role of image understanding in Visual Question Answering.

Dual Diffusion for Unified Image Generation and Understanding Making the V in VQA matter: Ele- vating the role of image understanding in Visual Question Answering

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:02:09.096918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4cb9e3ad-bcfc-4183-be5f-ffe778fe1486 · outbound

This paper cites Likelihood- based diffusion language models.

Dual Diffusion for Unified Image Generation and Understanding Likelihood- based diffusion language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:02:09.079956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9e65b7ce-101b-4ed8-8b00-b0d12639ba9f · outbound

This paper cites Classifier-Free Diffusion Guidance.

Dual Diffusion for Unified Image Generation and Understanding Classifier-Free Diffusion Guidance

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.669512Z

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Observation 849ff9ac-7ad1-4e6c-9deb-4d0c1c8f1937 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Dual Diffusion for Unified Image Generation and Understanding Denoising diffu- sion probabilistic models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:02:09.062955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3c038f1c-7be4-44df-8f1d-10a7c2728172 · outbound

This paper cites T2i-compbench: A comprehensive bench- mark for open-world compositional text-to-image genera- tion.

Dual Diffusion for Unified Image Generation and Understanding T2i-compbench: A comprehensive bench- mark for open-world compositional text-to-image genera- tion

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:02:09.046610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 339486c2-7de3-4ebc-89db-faf2eb3fcdf9 · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

Dual Diffusion for Unified Image Generation and Understanding Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 32

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Source-reported events for the cited work

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Observation 17cfd9b0-443e-4cd4-bbd1-3db1ba19e0df · outbound

This paper cites The Platonic Representation Hypothesis.

Dual Diffusion for Unified Image Generation and Understanding The Platonic Representation Hypothesis

Reference 33

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Observation aff5a9fe-a7dc-4ae5-94ea-5f27130a97b6 · outbound

This paper cites Elucidating the Design Space of Diffusion-Based Generative Models.

Dual Diffusion for Unified Image Generation and Understanding Elucidating the Design Space of Diffusion-Based Generative Models

Reference 34

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Source-reported events for the cited work

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Observation 532711f8-ed2a-4204-bd54-9568dc147d8f · outbound

This paper cites Variational diffusion models.

Dual Diffusion for Unified Image Generation and Understanding Variational diffusion models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:02:09.017992Z

Source-reported events for the cited work

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Observation 3922031b-bf94-46f9-8381-46ca209261f4 · outbound

This paper cites Auto-Encoding Variational Bayes.

Dual Diffusion for Unified Image Generation and Understanding Auto-Encoding Variational Bayes

Reference 36

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Observation 6dfc06ce-04d2-4071-852d-491caa67c15e · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.

Dual Diffusion for Unified Image Generation and Understanding The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale

Reference 37

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Observation 8bea8a73-09bd-4243-86d2-3e5ee57e83d3 · outbound

This paper cites Rush, Douwe Kiela, Matthieu Cord, and Victor Sanh.

Dual Diffusion for Unified Image Generation and Understanding Rush, Douwe Kiela, Matthieu Cord, and Victor Sanh

Reference 38

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Observation 15968370-18d9-4465-bb75-559a4d0ddd94 · outbound

This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.

Dual Diffusion for Unified Image Generation and Understanding Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.715985Z

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Observation 7d208d2e-32fd-4b93-b2a4-6b727ecee7b4 · outbound

This paper cites Likelihood train- ing of cascaded diffusion models via hierarchical volume- preserving maps.

Dual Diffusion for Unified Image Generation and Understanding Likelihood train- ing of cascaded diffusion models via hierarchical volume- preserving maps

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:02:08.983628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 20515266-7ab0-4758-b556-20ccb6555b9b · outbound

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

Dual Diffusion for Unified Image Generation and Understanding Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 41

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Source-reported events for the cited work

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Observation 97be30ac-5b86-452a-bebb-329aa00c7287 · outbound

This paper cites Autoregressive Image Generation without Vector Quantization.

Dual Diffusion for Unified Image Generation and Understanding Autoregressive Image Generation without Vector Quantization

Reference 42

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Observation f64cbffb-6e9c-4e02-b47d-a5808e2e5de0 · outbound

This paper cites Diffusion-lm improves control- lable text generation.

Dual Diffusion for Unified Image Generation and Understanding Diffusion-lm improves control- lable text generation

Reference 43

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Observation 104eaeb3-cee6-4a01-ba8e-7d73a36759c7 · outbound

This paper cites Diffusion-lm improves control- lable text generation.

Dual Diffusion for Unified Image Generation and Understanding Diffusion-lm improves control- lable text generation

Reference 44

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Source-reported events for the cited work

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Observation c19cb48d-4b04-4567-aa31-da0a91370c34 · outbound

This paper cites What If We Recaption Billions of Web Images with LLaMA-3?.

Dual Diffusion for Unified Image Generation and Understanding What If We Recaption Billions of Web Images with LLaMA-3?

Reference 45

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Source-reported events for the cited work

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Observation 4c961acc-18f1-44db-8fd7-ee2acfd6ec59 · outbound

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

Dual Diffusion for Unified Image Generation and Understanding Evaluating object hallucination in large vision-language models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:02:08.933495Z

Source-reported events for the cited work

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Observation cf28e946-5e85-473b-a009-df6110367d9d · outbound

This paper cites Microsoft coco: Common objects in context.

Dual Diffusion for Unified Image Generation and Understanding Microsoft coco: Common objects in context

Reference 47

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Source-reported events for the cited work

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Observation 97384505-e0a4-4802-aa41-59ab308a0144 · outbound

This paper cites Flow Matching for Generative Modeling.

Dual Diffusion for Unified Image Generation and Understanding Flow Matching for Generative Modeling

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd9f8e1a-d532-4776-a7bd-1c0c12cf4239 · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

Dual Diffusion for Unified Image Generation and Understanding Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 49

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Source-reported events for the cited work

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Observation 11c76f7b-f8aa-4da4-9d17-5fa2ca516084 · outbound

This paper cites Visual instruction tuning.

Dual Diffusion for Unified Image Generation and Understanding Visual instruction tuning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:02:08.896134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 526a1bdb-27f3-4409-a0c3-67a857194a3b · outbound

This paper cites World model on million-length video and language with blockwise ringattention, 2024.

Dual Diffusion for Unified Image Generation and Understanding World model on million-length video and language with blockwise ringattention, 2024

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:02:08.880360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bae71810-f060-4f91-ab9b-8b4ce1c5aa4b · outbound

This paper cites World Model on Million-Length Video And Language With Blockwise RingAttention.

Dual Diffusion for Unified Image Generation and Understanding World Model on Million-Length Video And Language With Blockwise RingAttention

Reference 52

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Source-reported events for the cited work

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Observation c8aac922-88d2-4efc-a815-2823e36b8326 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Dual Diffusion for Unified Image Generation and Understanding Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.779204Z

Source-reported events for the cited work

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Observation c71bd467-dcdd-46b6-94df-917dc4bb56ac · outbound

This paper cites Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution.

Dual Diffusion for Unified Image Generation and Understanding Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.783211Z

Source-reported events for the cited work

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Observation 5b4b32d0-1100-457d-8898-d59f75a540e3 · outbound

This paper cites Latent diffusion for language generation.

Dual Diffusion for Unified Image Generation and Understanding Latent diffusion for language generation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:02:08.855152Z

Source-reported events for the cited work

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Observation 2ebabc2a-7cc5-46b4-8fc2-fa2d594ed6cf · outbound

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

Dual Diffusion for Unified Image Generation and Understanding Ok-vqa: A visual question answering benchmark requiring external knowledge

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T23:02:07.792083Z

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Dual Diffusion for Unified Image Generation and Understanding Concrete score matching: Generalized score matching for discrete data

Reference 57

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Observation 2d0eafc0-37c1-4a2a-8b4a-d4fd2131db73 · outbound

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Dual Diffusion for Unified Image Generation and Understanding Improved denoising diffusion probabilistic models

Reference 58

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Dual Diffusion for Unified Image Generation and Understanding Scalable diffusion models with transformers

Reference 59

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Observation a3344b70-868b-40d7-8a1b-7eba5905ce38 · outbound

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

Dual Diffusion for Unified Image Generation and Understanding SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 60

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This paper cites Improving language understanding by generative pre-training.

Dual Diffusion for Unified Image Generation and Understanding Improving language understanding by generative pre-training

Reference 61

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This paper cites Language models are unsu- pervised multitask learners.

Dual Diffusion for Unified Image Generation and Understanding Language models are unsu- pervised multitask learners

Reference 62

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This paper cites Learning transferable visual models from natural language supervi- sion.

Dual Diffusion for Unified Image Generation and Understanding Learning transferable visual models from natural language supervi- sion

Reference 63

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Dual Diffusion for Unified Image Generation and Understanding Unresolved cited work

Reference 64

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This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Dual Diffusion for Unified Image Generation and Understanding Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 65

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Dual Diffusion for Unified Image Generation and Understanding High-resolution image synthesis with latent diffusion models

Reference 66

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This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Dual Diffusion for Unified Image Generation and Understanding Photorealistic text-to-image diffusion models with deep language understanding

Reference 67

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Observation f69cd402-92ef-4d14-9658-0d9c7d1c8b49 · outbound

This paper cites Simple and Effective Masked Diffusion Language Models.

Dual Diffusion for Unified Image Generation and Understanding Simple and Effective Masked Diffusion Language Models

Reference 68

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Reference 69

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Observation 9d1ca3b6-2f14-4707-a057-10c6f6454802 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Dual Diffusion for Unified Image Generation and Understanding Deep unsupervised learning using nonequilibrium thermodynamics

Reference 70

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Observation f9163c04-2049-4aac-8b53-22507e1425d3 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Dual Diffusion for Unified Image Generation and Understanding Score-Based Generative Modeling through Stochastic Differential Equations

Reference 71

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Dual Diffusion for Unified Image Generation and Understanding Maximum likelihood training of score-based diffusion mod- els

Reference 72

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Observation ccf16b99-5962-467b-8070-713973b7da2f · outbound

This paper cites Emu: Generative Pretraining in Multimodality.

Dual Diffusion for Unified Image Generation and Understanding Emu: Generative Pretraining in Multimodality

Reference 73

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Dual Diffusion for Unified Image Generation and Understanding Any-to-any generation via composable diffu- sion

Reference 74

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Observation 1a3a1287-3d8e-446a-af6a-7de4476f5680 · outbound

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

Dual Diffusion for Unified Image Generation and Understanding Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 75

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

Dual Diffusion for Unified Image Generation and Understanding Gemini: A Family of Highly Capable Multimodal Models

Reference 76

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Dual Diffusion for Unified Image Generation and Understanding Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 77

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Observation 0ce767ee-4f28-479e-9a5b-7d095aa1768b · outbound

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

Dual Diffusion for Unified Image Generation and Understanding Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 78

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Observation 49080754-2798-46a1-b8bc-35d5a6a1faca · outbound

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

Dual Diffusion for Unified Image Generation and Understanding LLaMA: Open and Efficient Foundation Language Models

Reference 79

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This paper cites A connection between score matching and denoising autoencoders.

Dual Diffusion for Unified Image Generation and Understanding A connection between score matching and denoising autoencoders

Reference 80

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Observation 6633b1ed-d3a6-4578-add5-08de184f0d66 · outbound

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

Dual Diffusion for Unified Image Generation and Understanding Emu3: Next-Token Prediction is All You Need

Reference 81

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Dual Diffusion for Unified Image Generation and Understanding VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

Reference 82

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Dual Diffusion for Unified Image Generation and Understanding Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 83

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This paper cites Versatile diffusion: Text, images and variations all in one diffusion model.

Dual Diffusion for Unified Image Generation and Understanding Versatile diffusion: Text, images and variations all in one diffusion model

Reference 84

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Observation 135d5202-5355-4b3f-b18e-10559816eb6e · outbound

This paper cites Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation.

Dual Diffusion for Unified Image Generation and Understanding Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 85

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Dual Diffusion for Unified Image Generation and Understanding Scaling autoregressive multi-modal mod- els: Pretraining and instruction tuning, 2023

Reference 86

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Observation 646f88c1-ec84-4785-a9a0-ca8a56d6aacd · outbound

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

Dual Diffusion for Unified Image Generation and Understanding Sigmoid loss for language image pre-training,

Reference 87

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Dual Diffusion for Unified Image Generation and Understanding Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Reference 88

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Observation ed18e898-53b6-4a40-80b4-02a19d08ff69 · outbound

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Reference 89

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Reference 90

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Observation 981ccc90-16f0-4585-9ab8-e18da6861801 · outbound

This paper cites (B) FID ↓ SD-XL [60] Diff.

Dual Diffusion for Unified Image Generation and Understanding (B) FID ↓ SD-XL [60] Diff

Reference 91

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Observation 84498b3d-5063-4915-ba59-cbe31d579ee6 · outbound

This paper cites On T2I CompBench, we find that after dual diffusion fine tuning the model performs worse in texture.

Dual Diffusion for Unified Image Generation and Understanding On T2I CompBench, we find that after dual diffusion fine tuning the model performs worse in texture

Reference 92

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Pith citing papers

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

Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling Dual Diffusion for Unified Image Generation and Understanding

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WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation Dual Diffusion for Unified Image Generation and Understanding

Reference 26

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Observation 0563063a-900d-40b3-9637-a4bb099a7ec9 · inbound

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation cites this paper.

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation Dual Diffusion for Unified Image Generation and Understanding

Reference 43

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Observation b40dcffc-9bae-4483-bd3b-485d13ea5e07 · inbound

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning cites this paper.

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Dual Diffusion for Unified Image Generation and Understanding

Reference 34

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Observation ed0f780d-9212-47a9-96ab-f8b587539ce6 · inbound

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks cites this paper.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Dual Diffusion for Unified Image Generation and Understanding

Reference 25

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Jodi: Unification of Visual Generation and Understanding via Joint Modeling Dual Diffusion for Unified Image Generation and Understanding

Reference 62

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FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities Dual Diffusion for Unified Image Generation and Understanding

Reference 42

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Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion Model cites this paper.

Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion Model Dual Diffusion for Unified Image Generation and Understanding

Reference 12

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Observation e2932b53-4de1-4e27-9e66-765eb64805cf · inbound

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL cites this paper.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Dual Diffusion for Unified Image Generation and Understanding

Reference 27

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Observation b74913d7-a687-49da-bcfd-170f68407a83 · inbound

SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-Rewards cites this paper.

SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-Rewards Dual Diffusion for Unified Image Generation and Understanding

Reference 23

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Observation 0ac33dff-0e29-4430-b42d-934d3e4af888 · inbound

Show-o2: Improved Native Unified Multimodal Models cites this paper.

Show-o2: Improved Native Unified Multimodal Models Dual Diffusion for Unified Image Generation and Understanding

Reference 63

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Source-reported events for the cited work

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