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Paper Citation Record · LEDGER

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling

As of 23 August 2026, this Paper Citation Record lists 96 of 96 outbound references and 0 inbound Pith citation observations for arXiv:2607.24157.

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

pith.paper-citation-record.v1
2607.24157 v1

Coverage vector

measured 96 of 96 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T22:25:12.526450Z

measured 96 of 96 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

96 of 96 outbound references displayed

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  • unresolved96
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Outbound references

Observation af6a442e-3ac7-4938-b681-45bd5baa5f8e · outbound

This paper cites Estimating and exploiting the aleatoric uncertainty in surface normal estimation.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Estimating and exploiting the aleatoric uncertainty in surface normal estimation

Reference 1

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Observation d4712f1a-5733-4ad0-8a33-57c96b920f77 · outbound

This paper cites Refereverything: Towards segmenting everything we can speak of in videos.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Refereverything: Towards segmenting everything we can speak of in videos

Reference 2

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Observation aa1cfb72-04ac-47b6-9313-3644dcc5b5b3 · outbound

This paper cites Qwen2.5-VL Technical Report.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Qwen2.5-VL Technical Report

Reference 3

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Observation 231f887d-ea4d-4b76-b420-290006245df8 · outbound

This paper cites Sequential modeling enables scalable learning for large vision models.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Sequential modeling enables scalable learning for large vision models

Reference 4

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Observation 5f9c88bc-73a7-490f-9c7d-6116b49c864e · outbound

This paper cites an unresolved cited work.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Unresolved cited work

Reference 5

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source=pdf_text observed=2026-07-31T22:25:12.301332Z digest=sha256:1b25f23665f5a410637e42bb9c25ad615b5f5670b6c00423a3ade6374e43ba5b

Observation f1696e1b-fa18-4130-b051-54a377786d30 · outbound

This paper cites Improving image generation with better captions.Computer Science.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Improving image generation with better captions.Computer Science

Reference 6

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Observation fa01234a-19f4-43c7-9840-2440f9979359 · outbound

This paper cites Instructpix2pix: Learning to follow image edit- ing instructions.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Instructpix2pix: Learning to follow image edit- ing instructions

Reference 7

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Observation 015c49d0-cd99-46cb-898a-1bd6b42af204 · outbound

This paper cites Visual Generation Without Guidance.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Visual Generation Without Guidance

Reference 8

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source=pdf_text observed=2026-07-31T22:25:12.309399Z digest=sha256:daee14182b0ccbf6957719da5dbf95f05a8b6d5576a3ec6e16733fbb76f2d4c5

Observation 9b1224f5-4a29-4782-b763-177aa1593be7 · outbound

This paper cites Scaling instruction-finetuned language models.JMLR, 2024.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Scaling instruction-finetuned language models.JMLR, 2024

Reference 9

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Observation a1cf275e-9ccd-4201-bbdb-cfdc42b442eb · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 10

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source=pdf_text observed=2026-07-31T22:25:12.314474Z digest=sha256:5ffce580e5380f225cc97e024fd1e69eb5e2d35d6be82841b2c80c5070bc2a50

Observation 8016f4a0-d2f6-498a-9543-872c29950ca5 · outbound

This paper cites Instructir: High-quality image restoration following human instructions.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Instructir: High-quality image restoration following human instructions

Reference 11

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Observation 5d5419ae-b72f-4812-b0cc-0c6dee8845c9 · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Emerging Properties in Unified Multimodal Pretraining

Reference 12

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source=pdf_text observed=2026-07-31T22:25:12.319632Z digest=sha256:c0a6ce940dec32d3b759b2f72dd8cd870bbda4e76d3b7186735f695f83672a4c

Observation f4554b91-259c-49da-9dee-0fa50156f916 · outbound

This paper cites Imagenet: A large-scale hierarchi- cal image database.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Imagenet: A large-scale hierarchi- cal image database

Reference 13

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Observation b9e07590-96c7-4353-b3ad-40763a4dd129 · outbound

This paper cites Vision-language transformer and query genera- tion for referring segmentation.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Vision-language transformer and query genera- tion for referring segmentation

Reference 14

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source=pdf_text observed=2026-07-31T22:25:12.324729Z digest=sha256:729a8b91d0a80a763f374966c8b25cd978d809f251299c387c0ead1b5606b0b4

Observation 0785f655-fca9-4d4b-969d-4e1140330e06 · outbound

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

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Scaling rectified flow transformers for high-resolution image synthesis

Reference 15

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source=pdf_text observed=2026-07-31T22:25:12.326933Z digest=sha256:f1fbbcefadc8ad8f26461cd57a0bf6cb1d10b5065956d65b924a12ea5e05b721

Observation aab1004c-f626-46f1-9719-b9d5c357aab3 · outbound

This paper cites UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing

Reference 16

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source=pdf_text observed=2026-07-31T22:25:12.329315Z digest=sha256:de3bdc96353a48e97345937c8d1a360ff78144c16d13e76b0b24035c7a787182

Observation 8fa65489-5027-477a-84dd-cacb73309439 · outbound

This paper cites Removing rain from single images via a deep detail network.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Removing rain from single images via a deep detail network

Reference 17

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source=pdf_text observed=2026-07-31T22:25:12.332068Z digest=sha256:bd19093b9389a8581c91d1d598d5864f8269d0a83d0b52577a270c7e30f99225

Observation 2c0ddf29-a741-4b48-8d3a-a142485c3966 · outbound

This paper cites InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists

Reference 18

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source=pdf_text observed=2026-07-31T22:25:12.334777Z digest=sha256:dfa3e2de15004871405709c57b1befe3662edfa449c6d9904f7f7de29dfe2a5b

Observation 9b80db01-0f0d-4eed-bf1a-25d6355ad7d3 · outbound

This paper cites SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation

Reference 19

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Observation 15d8c122-4f41-4c45-a7a4-069feb3eed6c · outbound

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

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Geneval: An object-focused framework for evaluating text-to-image alignment.NeurIPS, 2023

Reference 20

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source=pdf_text observed=2026-07-31T22:25:12.340188Z digest=sha256:9ba1c47f93c2c745c7b82e487d831f8da312caaf2b3950a166feb260ab606cb4

Observation 0aec3c25-ec3c-4859-9471-d528c50cf1f7 · outbound

This paper cites Vector quantized diffusion model for text-to- image synthesis.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Vector quantized diffusion model for text-to- image synthesis

Reference 21

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source=pdf_text observed=2026-07-31T22:25:12.342513Z digest=sha256:ed8ac4dee5c49d00c8fca8b8e85c348604beca283ff844d75d6fb47ed9de2360

Observation e31f1a5e-c7fa-47ba-a508-fcb96e784532 · outbound

This paper cites Infin- ity: Scaling bitwise autoregressive modeling for high- resolution image synthesis.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Infin- ity: Scaling bitwise autoregressive modeling for high- resolution image synthesis

Reference 22

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source=pdf_text observed=2026-07-31T22:25:12.344755Z digest=sha256:fafdb32342cd4ee9a31a949675f9264a2d0cf105294672a969281ffaf2476243

Observation 84552ca4-33e6-4d78-803e-f9611a4dda57 · outbound

This paper cites ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer

Reference 23

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Observation c8cabaf5-c8cd-4b7d-a5d7-c3478d797d06 · outbound

This paper cites Stylebooth: Image style editing with multimodal instruction.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Stylebooth: Image style editing with multimodal instruction

Reference 24

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Observation 51781b98-6bc3-4c3d-916c-1cd05424d698 · outbound

This paper cites Gans trained by a two time-scale up- date rule converge to a nash equilibrium.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Gans trained by a two time-scale up- date rule converge to a nash equilibrium

Reference 25

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Observation ca2dad9f-bba5-429f-a210-beec63a12208 · outbound

This paper cites Denoising diffusion probabilistic models.NeurIPS, 2020.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Denoising diffusion probabilistic models.NeurIPS, 2020

Reference 26

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Observation c4c1a126-225a-4c49-9d64-ec8723b51693 · outbound

This paper cites We- gen: A unified model for interactive multimodal gen- eration as we chat.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling We- gen: A unified model for interactive multimodal gen- eration as we chat

Reference 27

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Observation b414056c-e019-47b3-8885-34734ac17bad · outbound

This paper cites GPT-4o System Card.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling GPT-4o System Card

Reference 28

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source=pdf_text observed=2026-07-31T22:25:12.359100Z digest=sha256:ea5dd0bef48862b393d06a1aa564dee795a74a50833e99ab1bad5170c3fe093c

Observation c2cdd910-9f0b-4106-99cc-4e7822d3b419 · outbound

This paper cites Unified language-vision pretrain- ing in llm with dynamic discrete visual tokenization.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Unified language-vision pretrain- ing in llm with dynamic discrete visual tokenization

Reference 29

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source=pdf_text observed=2026-07-31T22:25:12.361555Z digest=sha256:16a53c84a6f3a9bcb839fb984d118030c67482bb4cef5c0075a04ce9572c2290

Observation d32d2bcd-5a3b-4122-bc22-253d4543b9e1 · outbound

This paper cites Video-lavit: Unified video- language pre-training with decoupled visual-motional tokenization.arXiv preprint arXiv:2402.03161, 2024.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Video-lavit: Unified video- language pre-training with decoupled visual-motional tokenization.arXiv preprint arXiv:2402.03161, 2024

Reference 30

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source=pdf_text observed=2026-07-31T22:25:12.363879Z digest=sha256:499d3acf15cc67a49f29366b31f458d85ec16cf96580c741642d2b8d0b8d2270

Observation 2a1c3dcd-356a-4de8-b3c6-d174d86e22e2 · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estimation.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Repurposing diffusion-based image generators for monocular depth estimation

Reference 31

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Observation c1ce9ff2-7ba4-44d1-bf5a-b655501feca7 · outbound

This paper cites Auto-Encoding Variational Bayes.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Auto-Encoding Variational Bayes

Reference 32

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source=pdf_text observed=2026-07-31T22:25:12.368393Z digest=sha256:23e49ecb35f10c06e0d439eb5f8633dcd0e84b39026341ce2f5584a7febb72fb

Observation d8f05da1-551a-402f-a76a-3bd1ceb7b857 · outbound

This paper cites Generating images with multimodal language models.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Generating images with multimodal language models

Reference 33

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source=pdf_text observed=2026-07-31T22:25:12.371129Z digest=sha256:455ee7c72307df29ddf36cf2a879f02e0b418a8ab033f70c321fa29eb74e01b2

Observation 85878a66-cb0b-4f8f-b517-239758e8d597 · outbound

This paper cites Unleashing in- context learning of autoregressive models for few-shot image manipulation.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Unleashing in- context learning of autoregressive models for few-shot image manipulation

Reference 34

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Observation 3e0e1a7d-f80f-44d2-9b65-b62adb5a1881 · outbound

This paper cites Lisa: Reason- ing segmentation via large language model.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Lisa: Reason- ing segmentation via large language model

Reference 35

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source=pdf_text observed=2026-07-31T22:25:12.375860Z digest=sha256:3f60d219a6ebc28c3e08cbc75b54c01ce03f5b4199abe93ff098b5c5beac7bc9

Observation cccb1f47-df3d-458f-9c0b-7d06d736ae4e · outbound

This paper cites All-in-one image restora- tion for unknown corruption.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling All-in-one image restora- tion for unknown corruption

Reference 36

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Observation cd358879-c884-476a-978b-545f7e2af462 · outbound

This paper cites ImageFolder: Autoregressive Image Generation with Folded Tokens.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 37

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source=pdf_text observed=2026-07-31T22:25:12.380740Z digest=sha256:7377d5dac96a87cc5ef3226ce7924fe6721aa2570f31ee049126524d0ad8ab3d

Observation a97e0a8b-e8fd-4119-9a1a-2a8bf26844e0 · outbound

This paper cites BrushEdit: All-In-One Image Inpainting and Editing.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling BrushEdit: All-In-One Image Inpainting and Editing

Reference 38

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source=pdf_text observed=2026-07-31T22:25:12.383425Z digest=sha256:ab81430bc700b5b5acea8b49edfd3bf3066e28ddb43ff147812af1663ebe2bbc

Observation a5c59884-995f-4e48-bf5e-1b1ffe0925a8 · outbound

This paper cites Visualcloze: A universal image generation framework via visual in-context learning.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Visualcloze: A universal image generation framework via visual in-context learning

Reference 39

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source=pdf_text observed=2026-07-31T22:25:12.385898Z digest=sha256:bd61197af8cdd4c9d8e807c855e11d81e84910e7fc396f01b42fc719cb3dd44c

Observation f279ba0b-f1ff-424b-9ae6-0ce9dea986ed · outbound

This paper cites RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models

Reference 40

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source=pdf_text observed=2026-07-31T22:25:12.388284Z digest=sha256:149d7c07290d997b39c1734435937c5591102b76979c8f9daa928d719fd77761

Observation 80fc214a-9bbf-4e59-9eda-5eece282cbcf · outbound

This paper cites Visual instruction tuning.NeurIPS,.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Visual instruction tuning.NeurIPS,

Reference 41

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source=pdf_text observed=2026-07-31T22:25:12.390820Z digest=sha256:db5d367b85b3094ae65acfd7f70d3dd087559e4db38d7d50f369df399975e26f

Observation 8326ca7a-5ede-443b-b5e0-eab0d85b20b8 · outbound

This paper cites Improved baselines with visual instruction tun- ing.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Improved baselines with visual instruction tun- ing

Reference 42

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source=pdf_text observed=2026-07-31T22:25:12.393698Z digest=sha256:10da7c44543a5e8645c5fa1a4326a5808ed4a34038d13dda100767f3e606db9f

Observation 11be3b96-43da-414c-a9db-57236ecc69a7 · outbound

This paper cites Step1X-Edit: A Practical Framework for General Image Editing.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Step1X-Edit: A Practical Framework for General Image Editing

Reference 43

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source=pdf_text observed=2026-07-31T22:25:12.396212Z digest=sha256:6003b6d1f40a9155f755f146d7b42fda5ae76b3280cf9bac0c582987f8f0e9b2

Observation 2b091bdb-d3a7-4937-92e7-22247fdeacb8 · outbound

This paper cites Decoupled Weight Decay Regularization.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Decoupled Weight Decay Regularization

Reference 44

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source=pdf_text observed=2026-07-31T22:25:12.398767Z digest=sha256:d62a35371b18d97ae114ab959934cd05af4a190bc777163a60142701d139456b

Observation 5792015c-7b09-4844-ad46-4aa3ae0fcff8 · outbound

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

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks

Reference 45

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source=pdf_text observed=2026-07-31T22:25:12.401226Z digest=sha256:bfb806223d9b6a3b2d3dd9aa46880ccb8153259af0df2db6a925e5bbf5b2c84b

Observation 045ad8d9-9239-4c51-b723-7ba249263b4e · outbound

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

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Unified-io 2: Scaling au- toregressive multimodal models with vision language audio and action

Reference 46

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source=pdf_text observed=2026-07-31T22:25:12.403742Z digest=sha256:b70518f84b028cdac09bfb4dea7b80135161524fe1bc48b940ad3d0d084c283a

Observation 16d6dea3-7374-493d-a76d-54b5d27291ca · outbound

This paper cites Multi- task collaborative network for joint referring expres- sion comprehension and segmentation.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Multi- task collaborative network for joint referring expres- sion comprehension and segmentation

Reference 47

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source=pdf_text observed=2026-07-31T22:25:12.406020Z digest=sha256:abb2a8aff850ca86336577efd111ecfde3a9d05884da365a304806a706dbd424

Observation 4617ca67-b4a3-4d52-b1cd-c31c7c0dec31 · outbound

This paper cites Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 48

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source=pdf_text observed=2026-07-31T22:25:12.408624Z digest=sha256:744d1711f89a1082bb9d19f0f0c3667b36348e1ea02a5174ca697482e266f4e2

Observation 59adc718-84bd-4d2f-b457-e55dd94f22a7 · outbound

This paper cites Visual autoregressive modeling for instruction-guided image editing.arXiv preprint arXiv:2508.15772,.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Visual autoregressive modeling for instruction-guided image editing.arXiv preprint arXiv:2508.15772,

Reference 49

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source=pdf_text observed=2026-07-31T22:25:12.411066Z digest=sha256:c481349a3685146aad3862c2e4e3fe8f3bb73ca6c973ccc74ce0d8a71f5d4964

Observation 08225278-32bc-43ec-96d5-c6fcf3c042c1 · outbound

This paper cites Deep multi-scale convolutional neural network for dy- namic scene deblurring.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Deep multi-scale convolutional neural network for dy- namic scene deblurring

Reference 50

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source=pdf_text observed=2026-07-31T22:25:12.413428Z digest=sha256:029a3d03d60ce6e90daa6bb30f909189d897106e5c59cdaff3aa769dafc05f3d

Observation c3140dda-cb53-4d50-a7b9-a704c8732e78 · outbound

This paper cites Kosmos-G: Generating Images in Context with Multimodal Large Language Models.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Kosmos-G: Generating Images in Context with Multimodal Large Language Models

Reference 51

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source=pdf_text observed=2026-07-31T22:25:12.415671Z digest=sha256:73c4a6e4f79de0c8f5819ca39d6fa486e2514f7533f328cf0c9816b47e77fe79

Observation f1bf9407-fd57-46bd-b584-83f971ba7cd5 · outbound

This paper cites Transfer between Modalities with MetaQueries.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Transfer between Modalities with MetaQueries

Reference 52

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source=pdf_text observed=2026-07-31T22:25:12.418124Z digest=sha256:0e0e45ea1e3c47c4657145b3d83655d35309aec8879ee869f59407ef009a6b33

Observation 7098bfb0-794a-450f-abfe-77f6251ff240 · outbound

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

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 53

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source=pdf_text observed=2026-07-31T22:25:12.420562Z digest=sha256:7dfd399197e363262c74fa68618d181b318504b21471f815858e86f5214cf377

Observation 7b8afe61-7b65-4fdd-9800-37704d6abed0 · outbound

This paper cites Visual Autoregressive Modeling for Image Super-Resolution.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Visual Autoregressive Modeling for Image Super-Resolution

Reference 54

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source=pdf_text observed=2026-07-31T22:25:12.423003Z digest=sha256:b62045abb09e0e6bab17030502370ef9fe032021dadf5f0d3869f514dc7f0879

Observation 72e668ae-8e79-4956-a90b-fe29cd1fa75b · outbound

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

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 55

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source=pdf_text observed=2026-07-31T22:25:12.425457Z digest=sha256:274fef0d3d1ae4b2961f166e0d7c5558f99a9481849c5233f992e979b149cf06

Observation 0c3b323e-fea5-4775-a814-0c3b8438ebd1 · outbound

This paper cites High- resolution image synthesis with latent diffusion mod- els.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling High- resolution image synthesis with latent diffusion mod- els

Reference 56

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source=pdf_text observed=2026-07-31T22:25:12.428168Z digest=sha256:20f2535e80e899e5d5510624fba17b0b053c898d204f7fac8e25691b520232a3

Observation 8e65ae95-452e-483c-bc48-f69654095d5b · outbound

This paper cites Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting

Reference 57

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source=pdf_text observed=2026-07-31T22:25:12.430501Z digest=sha256:079f7296137dabe370f5d076563cc44416dac127a69e5c21b66bfbcaac864b01

Observation ac802f96-d384-4060-af78-f3a105e4494e · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 58

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source=pdf_text observed=2026-07-31T22:25:12.433199Z digest=sha256:32cc0cc636e55d584540f12171cd605336486116e88cdc57fe9c5f1b965643af

Observation 701ec53c-3d93-48cb-9a7f-485e88bdf4b3 · outbound

This paper cites Continuous Visual Autoregressive Generation via Score Maximization.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Continuous Visual Autoregressive Generation via Score Maximization

Reference 59

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source=pdf_text observed=2026-07-31T22:25:12.435621Z digest=sha256:b98d978f4abee97fa386ac151c3f627cc836d8ffa06d96271386e2023057b4a1

Observation 7a101895-df3e-4ee7-8d4b-2ae0bef2de74 · outbound

This paper cites Emu edit: Precise image editing via recognition and generation tasks.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Emu edit: Precise image editing via recognition and generation tasks

Reference 60

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source=pdf_text observed=2026-07-31T22:25:12.438228Z digest=sha256:2069e3257832c2de530ea55869c5cac0c36b4b1f7dc8efa45789efb20d5883e0

Observation 3a549291-141d-4032-aca1-1b683144ca29 · outbound

This paper cites Indoor segmentation and support in- ference from rgbd images.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Indoor segmentation and support in- ference from rgbd images

Reference 61

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source=pdf_text observed=2026-07-31T22:25:12.440553Z digest=sha256:8b5582780d3243191d374ea0070873c7374453c4d150dc82fcc865188865b194

Observation 48c112d3-be58-48d4-a921-0d29d61becea · outbound

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

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 62

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source=pdf_text observed=2026-07-31T22:25:12.442880Z digest=sha256:aa02d3707a7a4a09ac18daeaaab149c6f17e8206221a5595ede8d2bdefa57960

Observation 1b0d6cda-314d-421c-8fa9-a22aff396974 · outbound

This paper cites Emu: Generative Pretraining in Multimodality.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Emu: Generative Pretraining in Multimodality

Reference 63

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source=pdf_text observed=2026-07-31T22:25:12.445503Z digest=sha256:453f164630be271375bd062d093600f27c3293782386a101f0e475f9d138afe1

Observation 312004ea-31bf-4222-8084-c1a26a8e25ed · outbound

This paper cites Generative multi- modal models are in-context learners.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Generative multi- modal models are in-context learners

Reference 64

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source=pdf_text observed=2026-07-31T22:25:12.448289Z digest=sha256:f449c2032b965c64094664013ee12c811e340a749e7e5f4c5deee11e03f2b96e

Observation 1dbba8e2-49a4-4769-8392-bf3f0ab74947 · outbound

This paper cites X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models

Reference 65

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source=pdf_text observed=2026-07-31T22:25:12.450878Z digest=sha256:3418a40d51dcc1ec36a9e7ac5ee842ab468f319bf9409fd404358159108acd1a

Observation d0407919-c8d0-4e6b-880e-3121c98e042b · outbound

This paper cites UGen: Unified Autoregressive Multimodal Model with Progressive Vocabulary Learning.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling UGen: Unified Autoregressive Multimodal Model with Progressive Vocabulary Learning

Reference 66

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source=pdf_text observed=2026-07-31T22:25:12.453642Z digest=sha256:10be6ebe376c8ce5be12cdbb16072927a6a27f3d1ca20146e354685fb2477419

Observation 77353f5f-9b4f-4b24-b5cd-3601d8c98cbc · outbound

This paper cites Codi-2: In- context interleaved and interactive any-to-any genera- tion.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Codi-2: In- context interleaved and interactive any-to-any genera- tion

Reference 67

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source=pdf_text observed=2026-07-31T22:25:12.456043Z digest=sha256:955e06557a6f9da4d27abdfc73f2111a1451c94ce9772794cb3770d6c9b25bbe

Observation e1090e1a-92fe-436c-9f70-b4e87b4038a7 · outbound

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

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 68

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source=pdf_text observed=2026-07-31T22:25:12.458309Z digest=sha256:9d3b35c7f15b29e405957bc65da03d405ac91f47cc8d975c0eb959d4f317e32e

Observation 19852e8e-6ed6-4c12-b54d-43e0a6b18275 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 69

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source=pdf_text observed=2026-07-31T22:25:12.460861Z digest=sha256:c589c5b5c131ee2f3d24eed2c903cc1ab3f3e3baea7a57d1916c563d4e49458f

Observation 99ca34ec-d16b-44c0-b099-e2cc64d90db1 · outbound

This paper cites Neural discrete representation learning.NeurIPS, 2017.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Neural discrete representation learning.NeurIPS, 2017

Reference 70

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source=pdf_text observed=2026-07-31T22:25:12.463090Z digest=sha256:6bfa9a832c9e158872bc344fbd68e51bf305834b82230e46f9fe4512cf35e877

Observation 19b39dc7-af7f-44bb-9f8c-ec145acd1cf1 · outbound

This paper cites Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis

Reference 71

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source=pdf_text observed=2026-07-31T22:25:12.465355Z digest=sha256:d070eced721cd2b41f4ead7c512c23f703d1c3f78a5da5842ccae9a93bc554b2

Observation f0abb4fa-9b33-47db-a2da-bc053033cc98 · outbound

This paper cites Editinfinity: Image editing with binary-quantized generative models.arXiv preprint arXiv:2510.20217, 2025.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Editinfinity: Image editing with binary-quantized generative models.arXiv preprint arXiv:2510.20217, 2025

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source=pdf_text observed=2026-07-31T22:25:12.467766Z digest=sha256:5db191e5100bbf23bb80fd60fc0492acf5fab187f696fb785e851db675ec0aa5

Observation 220bab46-f057-415f-9b21-8ff782c56faf · outbound

This paper cites Scalable autoregressive monocular depth estima- tion.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Scalable autoregressive monocular depth estima- tion

Reference 73

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source=pdf_text observed=2026-07-31T22:25:12.469974Z digest=sha256:a5f49e3ec06d7cbcb53a7e8ab0f1d1d2f9ec1d01d86f825f97d8142d7f7e1938

Observation 85d40c92-a852-491b-92fd-2dd9161dbd56 · outbound

This paper cites Images speak in images: A gener- alist painter for in-context visual learning.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Images speak in images: A gener- alist painter for in-context visual learning

Reference 74

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source=pdf_text observed=2026-07-31T22:25:12.472377Z digest=sha256:56323c624a06491ce332ad0ed23299750889cb0d7ffdca23d1f356e5f34620fb

Observation 91948141-7432-4cb5-aec4-002c784e95f8 · outbound

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

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Emu3: Next-Token Prediction is All You Need

Reference 75

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source=pdf_text observed=2026-07-31T22:25:12.474539Z digest=sha256:717a9ead7f9c4e1c30d25136abf762d8c2c9cb5348560c7e77876d47912666a4

Observation f1ce38e8-0954-4784-9e13-85bab18b492f · outbound

This paper cites Training-Free Text-Guided Image Editing with Visual Autoregressive Model.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Training-Free Text-Guided Image Editing with Visual Autoregressive Model

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source=pdf_text observed=2026-07-31T22:25:12.477030Z digest=sha256:0f20129d48ce14dce5f467dc4c81be9617e4c43a63779c86dc1333bdfb28d470

Observation 1c3cc9e5-3ac9-4cf4-a2f7-39d8c51aea3b · outbound

This paper cites Deep Retinex Decomposition for Low-Light Enhancement.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Deep Retinex Decomposition for Low-Light Enhancement

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source=pdf_text observed=2026-07-31T22:25:12.479601Z digest=sha256:ec5c57c2d995b9f2e007e56af5727b1481053957b2c1abbfdd29cc826648a2e3

Observation 7cd61ee7-babe-4d5a-8ef3-f71f8bcb8240 · outbound

This paper cites Omniedit: Building im- age editing generalist models through specialist super- vision.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Omniedit: Building im- age editing generalist models through specialist super- vision

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source=pdf_text observed=2026-07-31T22:25:12.482026Z digest=sha256:ce215a450b59befbbe40b76634d4da8ef425e93a0744e731be0dba788edefd02

Observation eef9ed57-eb0b-4bfe-83d1-bbe358b31708 · outbound

This paper cites Janus: Decou- pling visual encoding for unified multimodal under- standing and generation.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Janus: Decou- pling visual encoding for unified multimodal under- standing and generation

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source=pdf_text observed=2026-07-31T22:25:12.484287Z digest=sha256:c1e0bc777ac9fe9a5cdf47789f6793c94c4f36708ca58007b946dfded41b3fb8

Observation b2d64675-c013-4a37-875c-afaf0af2e205 · outbound

This paper cites Qwen-Image Technical Report.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Qwen-Image Technical Report

Reference 80

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source=pdf_text observed=2026-07-31T22:25:12.486685Z digest=sha256:9e8dcf9e5e4ebf1ead88152752d2844dfdb9c56a90356320125325bb0a53c704

Observation fcd7a9f5-f02e-402f-9e0f-e0202e5281ab · outbound

This paper cites OmniGen2: Towards Instruction-Aligned Multimodal Generation.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling OmniGen2: Towards Instruction-Aligned Multimodal Generation

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source=pdf_text observed=2026-07-31T22:25:12.489096Z digest=sha256:ab1341360b9698af828afb99ca5eacf6036ae98c0a9e506fcaf808f71efe6a19

Observation f8275d40-b326-4ff3-8d6c-c81e75be37b7 · outbound

This paper cites VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

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source=pdf_text observed=2026-07-31T22:25:12.491727Z digest=sha256:cd4bfcfaf2af1e95230fd2c28e4aa53fb4c33511bcb1f1306b666814e126f168

Observation 56998093-8e60-433b-a06c-b5342919fc38 · outbound

This paper cites Omnigen: Unified image generation.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Omnigen: Unified image generation

Reference 83

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source=pdf_text observed=2026-07-31T22:25:12.494341Z digest=sha256:4b004d29d49564d8de47062c82e6c88dfade77f20095e507e49e85fc95611307

Observation eb20b369-23ab-46c5-98fa-cdd2d7780366 · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

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source=pdf_text observed=2026-07-31T22:25:12.496632Z digest=sha256:63215b93fcea59f8cc336cb85ab9c86d80c2571091665a15f8a107a678aa59b1

Observation d8d5dac1-99f0-4cd4-a6d4-73df69eb32d6 · outbound

This paper cites Universal instance perception as object discovery and retrieval.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Universal instance perception as object discovery and retrieval

Reference 85

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source=pdf_text observed=2026-07-31T22:25:12.499090Z digest=sha256:709be2b883c9619d83773498348cf972a6aeb505e0855ea18331f66aacd1092a

Observation b3d5856c-0454-46d2-a589-a40d4e97d264 · outbound

This paper cites Depth any- thing: Unleashing the power of large-scale unlabeled data.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Depth any- thing: Unleashing the power of large-scale unlabeled data

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source=pdf_text observed=2026-07-31T22:25:12.501402Z digest=sha256:97231363b47455a8b0ad236f33d4f36063609bad038d11ae23382453562aa41f

Observation 3c76708c-7e80-47ff-a767-2da251d8f7e6 · outbound

This paper cites Lavt: Language-aware vision transformer for referring im- age segmentation.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Lavt: Language-aware vision transformer for referring im- age segmentation

Reference 87

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source=pdf_text observed=2026-07-31T22:25:12.503588Z digest=sha256:e67cbd4c4a5219abbb0d3c1459c33e8cd0b4104571fa90139c5637e93beca5b2

Observation 1d31e769-3505-4918-999e-f24200b72bf9 · outbound

This paper cites Inverted pyramid multi-task transformer for dense scene understanding.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Inverted pyramid multi-task transformer for dense scene understanding

Reference 88

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source=pdf_text observed=2026-07-31T22:25:12.505867Z digest=sha256:f1ba1038bdf5aba6dbc83f5fbe4638d437b81c1691c95bacaef61323aa407717

Observation 370fde71-d183-4bb3-9a12-583fc1e3fb91 · outbound

This paper cites Modeling context in refer- ring expressions.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Modeling context in refer- ring expressions

Reference 89

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source=pdf_text observed=2026-07-31T22:25:12.508251Z digest=sha256:b2ab924b24dfb8cdf41f5c7ac0f87aa618d42bd7153dab6a3e298553767964e3

Observation da0e89d6-0140-48f0-9ed0-06b7cebddaeb · outbound

This paper cites Nexus-Gen: Unified Image Understanding, Generation, and Editing via Prefilled Autoregression in Shared Embedding Space.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Nexus-Gen: Unified Image Understanding, Generation, and Editing via Prefilled Autoregression in Shared Embedding Space

Reference 90

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source=pdf_text observed=2026-07-31T22:25:12.510892Z digest=sha256:6c7477ad3d11074a29c032b171a05d8689b3b3c601744339d8c1eb4a2a2e2648

Observation bb849754-410d-496e-ba3a-fdbd3ce91a82 · outbound

This paper cites Nextflow: Unified se- quential modeling activates multimodal understand- ing and generation.arXiv preprint arXiv:2601.02204,.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Nextflow: Unified se- quential modeling activates multimodal understand- ing and generation.arXiv preprint arXiv:2601.02204,

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source=pdf_text observed=2026-07-31T22:25:12.513292Z digest=sha256:abb9a277720e32dbc57a36b243f5b1b788ccf81ac8d50bc65cab5e6dfaab51e5

Observation 8f8f0cc7-e32f-4d70-bc8c-3d19ae5305ee · outbound

This paper cites Uni-controlnet: All-in-one control to text-to- image diffusion models.NeurIPS, 2023.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Uni-controlnet: All-in-one control to text-to- image diffusion models.NeurIPS, 2023

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source=pdf_text observed=2026-07-31T22:25:12.516022Z digest=sha256:2940d4f72e39164d103fbd582add54b38bdee43e5811b5911fd381126a352658

Observation 40a518ba-3033-4f42-84c3-030078036fd8 · outbound

This paper cites Diff-2-in-1: Bridging generation and dense perception with diffusion mod- els.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Diff-2-in-1: Bridging generation and dense perception with diffusion mod- els

Reference 93

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source=pdf_text observed=2026-07-31T22:25:12.518490Z digest=sha256:ec7116c74ef082460a412a587feeec33e7fbd646123ebab1bcbc22658b974ca9

Observation dda4bdf1-3d3d-475f-8349-e056ac653c28 · outbound

This paper cites Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

Reference 94

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source=pdf_text observed=2026-07-31T22:25:12.520952Z digest=sha256:313808eb976fa69a7565ed2f7660dc419fce2d8f8555c56f703eb61cfa895418

Observation 859dc7c9-0f5e-4c63-8d98-26e7d0516f98 · outbound

This paper cites Training-free geometric image editing on diffusion models.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Training-free geometric image editing on diffusion models

Reference 95

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source=pdf_text observed=2026-07-31T22:25:12.523939Z digest=sha256:3be421d73793e09f58723eac4390919d89a0da7d1e12d595c8a299090e9fc975

Observation 2483e1c5-8177-4b4e-be7f-ee2e17676c4b · outbound

This paper cites VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model

Reference 96

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source=pdf_text observed=2026-07-31T22:25:12.526450Z digest=sha256:afea645eaef88842d0686c42798f77d9260564044c03fa0b65a4379a7870cdc7

Pith citing papers

No inbound Pith citation observations are available.