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Paper Citation Record · LEDGER

OmniGen: Unified Image Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 51 inbound Pith citation observations for arXiv:2409.11340.

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

pith.paper-citation-record.v1
2409.11340 v2

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 51 of 51 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 51 of 51 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:24:41.592218Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:47:29.709700Z

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Outbound references

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Pith citing papers

Observation 58444dd7-0d96-4e22-af4f-c55c151bc7b2 · inbound

I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models cites this paper.

I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models OmniGen: Unified Image Generation

Reference 10

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source=pdf_text observed=2026-08-08T10:24:41.592218Z digest=sha256:6ad6c0e790a7ea5a1889567fdaecbf14aa964b37e47a5be770cc019454262524

Observation fe648cb1-9bac-4a0c-a0e2-d962d842eb72 · inbound

VACE: All-in-One Video Creation and Editing cites this paper.

VACE: All-in-One Video Creation and Editing OmniGen: Unified Image Generation

Reference 71

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arxiv_id, observed 2026-05-16T00:53:54.060553Z

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source=pdf_text observed=2026-05-16T00:53:53.855965Z digest=sha256:ac1f2732b863a72a7308ba5ad558784b2659c2463e47bb9c7ba2c954359fad66

Observation fa562231-548a-4134-a314-b47301406c54 · inbound

Wan: Open and Advanced Large-Scale Video Generative Models cites this paper.

Wan: Open and Advanced Large-Scale Video Generative Models OmniGen: Unified Image Generation

Reference 47

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arxiv_id, observed 2026-05-22T23:07:14.244676Z

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source=pdf_text observed=2026-05-22T23:05:32.595632Z digest=sha256:7ba1ac98c31976d44fa7d67cef6fca25ca437ad79c659e9bcf720927ed40ec97

Observation 31e4101e-409c-49ae-abe9-8ff3df549c39 · inbound

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

Step1X-Edit: A Practical Framework for General Image Editing OmniGen: Unified Image Generation

Reference 61

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arxiv_id, observed 2026-05-11T14:36:41.844229Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T14:36:41.467429Z digest=sha256:27c3ca5958cccb5f1887a403ef786d81be352a60cf64fb61812a39550d5c634a

Observation c10b94c3-51db-4f9f-9e49-5f53ab2168a6 · inbound

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

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation OmniGen: Unified Image Generation

Reference 87

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arxiv_id, observed 2026-05-17T07:24:04.708976Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T07:24:04.460276Z digest=sha256:5217d23218144b81aac2706d77aa86ef2afd2c0973a2b68acfe17fa43112a115

Observation 8e585bcf-1258-4dfd-9624-028facebacbf · inbound

OmniStyle: Filtering High Quality Style Transfer Data at Scale cites this paper.

OmniStyle: Filtering High Quality Style Transfer Data at Scale OmniGen: Unified Image Generation

Reference 38

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source=pdf_text observed=2026-08-07T15:43:15.698024Z digest=sha256:747d30898904e7290adb920fa8821cb87f420d082d0847219022dde9123c40ed

Observation 3547fa28-f2fb-439a-819c-20513457b274 · inbound

Emerging Properties in Unified Multimodal Pretraining cites this paper.

Emerging Properties in Unified Multimodal Pretraining OmniGen: Unified Image Generation

Reference 89

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arxiv_id, observed 2026-05-10T16:23:42.062023Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:23:41.854132Z digest=sha256:096a903df21ca38225fbc588a81bafe4e52d9c5e91a63a9e360b800def034c11

Observation f1af7fba-d65d-42a0-9041-f210545574b7 · inbound

KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models cites this paper.

KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models OmniGen: Unified Image Generation

Reference 72

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source=pdf_text observed=2026-08-07T15:02:23.311891Z digest=sha256:b81f0d79a9b721aa602c8306d8ac6fb7ca5664656abb202a0c8f871b54c466ff

Observation eac4c482-d5f4-446a-b53d-478e2ad55cbe · inbound

ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback cites this paper.

ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback OmniGen: Unified Image Generation

Reference 28

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source=pdf_text observed=2026-08-07T14:42:13.861775Z digest=sha256:e3503dbe844c838cc9e66abe851c51fa6038ad575046889a92ae7f09d1c0b4de

Observation 69893bf6-8d16-49ce-b7c5-8e94aad087d7 · inbound

Jodi: Unification of Visual Generation and Understanding via Joint Modeling cites this paper.

Jodi: Unification of Visual Generation and Understanding via Joint Modeling OmniGen: Unified Image Generation

Reference 98

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source=pdf_text observed=2026-08-07T14:25:22.573243Z digest=sha256:b4daf68901627872f46d9d07adcaf57741748eb689fa3ca5d7ad384a33bb3251

Observation e867ddc8-17ba-4b2c-a725-eb741b1236ca · inbound

StyleAR: Customizing Multimodal Autoregressive Model for Style-Aligned Text-to-Image Generation cites this paper.

StyleAR: Customizing Multimodal Autoregressive Model for Style-Aligned Text-to-Image Generation OmniGen: Unified Image Generation

Reference 45

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source=pdf_text observed=2026-08-07T14:09:50.758122Z digest=sha256:1ac9d31713e196eb41a9735baa25df1df0c6e82fa4930bb91adbad3cf5e62815

Observation a2042ca4-102e-473d-828d-32d3e47443cf · inbound

OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation cites this paper.

OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation OmniGen: Unified Image Generation

Reference 104

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source=pdf_text observed=2026-08-07T13:59:35.838949Z digest=sha256:fbbe85dc65384fa3e7141ba12f3037b7ebc4ec2558749384834f0210bf908864

Observation 318ac563-b6c1-40c0-8231-6707d0838018 · inbound

AlignGen: Boosting Personalized Image Generation with Cross-Modality Prior Alignment cites this paper.

AlignGen: Boosting Personalized Image Generation with Cross-Modality Prior Alignment OmniGen: Unified Image Generation

Reference 36

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source=pdf_text observed=2026-08-07T13:23:42.210287Z digest=sha256:9bf0f0d09ec8c81924d47e28d656dcd64d7cf1ab6834cfcfd16acde67a537f8e

Observation 9ac4c8ac-ae23-4bdc-bb24-02da617503d2 · inbound

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis cites this paper.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis OmniGen: Unified Image Generation

Reference 51

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source=pdf_text observed=2026-08-07T12:53:29.727336Z digest=sha256:02bded51b28c57b41348b9677f049bb3f0abbc59e44c0152edad900ddc402f42

Observation 2bee3ea4-59db-4fb9-9590-684383f90c07 · inbound

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation cites this paper.

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation OmniGen: Unified Image Generation

Reference 43

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source=arxiv_source observed=2026-08-07T12:48:55.618522Z digest=sha256:126153347445e26072df6a0b072e90b03eda30cefe93eb6d6c059ca52f4df80a

Observation 2dc2198f-3265-4397-a0ee-5c9dafe2e83f · inbound

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers cites this paper.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers OmniGen: Unified Image Generation

Reference 45

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source=pdf_text observed=2026-08-07T12:41:24.405058Z digest=sha256:c0c290cd7facab04ff976ffe4c8938489d3d5a7d9b0468571408b422f0fe2ad7

Observation 8a02e625-3863-4b23-8586-38e99def730c · inbound

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling cites this paper.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling OmniGen: Unified Image Generation

Reference 47

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source=pdf_text observed=2026-08-07T12:43:53.854399Z digest=sha256:923d2b73d93d5135b929a830e28b58a28a3ed06489b0f02eea9c5d6149abd796

Observation a5976a61-377d-4804-bb66-0e939212d2d1 · inbound

Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation cites this paper.

Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation OmniGen: Unified Image Generation

Reference 29

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source=pdf_text observed=2026-08-07T12:18:34.697482Z digest=sha256:07f10693c62075baaf191e304348aecd74c4237a2f7dfb8836daf7d60b5769a5

Observation a1cae4a7-b6dd-41d1-b017-3f8e3b2bbce5 · inbound

HaploOmni: Unified Single Transformer for Multimodal Video Understanding and Generation cites this paper.

HaploOmni: Unified Single Transformer for Multimodal Video Understanding and Generation OmniGen: Unified Image Generation

Reference 58

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source=pdf_text observed=2026-08-07T11:16:20.505845Z digest=sha256:f6efabe5eac0825b71315d07a5579ac7405d6c4b896d07ccdd9410924740025e

Observation b029b780-6463-4b30-8b7e-4dc634d0953b · 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 OmniGen: Unified Image Generation

Reference 45

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arxiv_id, observed 2026-05-12T17:34:27.025981Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T17:34:26.951644Z digest=sha256:63f98c27d843fa4e6f898242acc9a319dc854dbd13a183145630674e3c212d1d

Observation 6d3c7adc-71d0-4a0f-9dca-01a88d55ada7 · inbound

Image Editing As Programs with Diffusion Models cites this paper.

Image Editing As Programs with Diffusion Models OmniGen: Unified Image Generation

Reference 66

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source=pdf_text observed=2026-08-07T10:51:38.564978Z digest=sha256:f28f47829d8db5ebad665db2ea53ee8c6999f6b35f02c150d09cd7a5f3e3e3f2

Observation 30bebc00-42b1-47af-945e-b1c19333725d · inbound

UNIC: Unified In-Context Video Editing cites this paper.

UNIC: Unified In-Context Video Editing OmniGen: Unified Image Generation

Reference 31

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source=pdf_text observed=2026-08-07T10:51:43.000212Z digest=sha256:14e03c4b1babe481b673ef8d90fd224616bbfc42291c03935d543b6b023d0740

Observation a215cd12-3ee6-462f-9ffe-912180ef3cca · inbound

SeedEdit 3.0: Fast and High-Quality Generative Image Editing cites this paper.

SeedEdit 3.0: Fast and High-Quality Generative Image Editing OmniGen: Unified Image Generation

Reference 31

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source=pdf_text observed=2026-08-07T10:29:07.069391Z digest=sha256:7e86182063f037c640750f6297645b8ce91f64a0cbb4e6f80db188e6c0fc545b

Observation 89f9a7d8-2fd4-4b3e-8aa0-27e1cefbc6ff · inbound

From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models cites this paper.

From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models OmniGen: Unified Image Generation

Reference 55

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source=pdf_text observed=2026-08-07T05:41:31.127934Z digest=sha256:7ed1b25b48f36a30682cc806dc0ae5e7f360f2b236bf1c58e9e72b437b5581e5

Observation 45bd0fe1-80df-484c-895d-649817280bfb · inbound

ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies cites this paper.

ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies OmniGen: Unified Image Generation

Reference 31

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source=pdf_text observed=2026-08-07T00:40:22.014185Z digest=sha256:bffee922e2517d553ff85326e9011221f66a0fd5b359e924a8f8d3d09644fe4f

Observation e760e1ef-8ed8-4b97-80c6-c32b8fb15be3 · inbound

FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space cites this paper.

FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space OmniGen: Unified Image Generation

Reference 57

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source=pdf_text observed=2026-05-10T16:36:02.016696Z digest=sha256:facd126e7178fd10903654b54c78ccb55b6b101bd75c96814ecc10df4d3f740d

Observation 0c1d8e90-0ad1-47b6-9d5e-1fdb31e97b4f · inbound

UniCode$^2$: Cascaded Large-scale Codebooks for Unified Multimodal Understanding and Generation cites this paper.

UniCode$^2$: Cascaded Large-scale Codebooks for Unified Multimodal Understanding and Generation OmniGen: Unified Image Generation

Reference 72

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source=pdf_text observed=2026-08-06T23:01:49.873348Z digest=sha256:8141590ed05b94dd233bb4953b2b92169706c507932cefdae996c14ab3c941a2

Observation d52336b2-704b-48e2-9341-70681ce8c7e4 · inbound

XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation cites this paper.

XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation OmniGen: Unified Image Generation

Reference 36

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source=pdf_text observed=2026-08-06T22:31:39.566138Z digest=sha256:6239cf7603ac5ae1e03a06e147ed4eba84aa0742bb20bb8ffba087dbdccfe6a9

Observation 5219faa1-abd7-4c91-92e6-a98c9087b37c · inbound

FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization cites this paper.

FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization OmniGen: Unified Image Generation

Reference 49

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source=pdf_text observed=2026-08-06T20:46:25.163303Z digest=sha256:ebd6ee21a08b22f81ed5b61dc7a28b4be8e8de656d55ddd4e28ad1718a978821

Observation 973fc9f2-eb3e-43d4-aef6-78bd268d328e · inbound

DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design cites this paper.

DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design OmniGen: Unified Image Generation

Reference 30

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source=pdf_text observed=2026-08-06T19:59:28.843313Z digest=sha256:56a1c3546866396f1dd8269b3a6a635400f9c8982bc7640a006597ef228ec8cf

Observation f4e9f5eb-1df1-43b0-b36b-54afe08a9fdf · inbound

Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing cites this paper.

Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing OmniGen: Unified Image Generation

Reference 45

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source=pdf_text observed=2026-08-06T19:32:44.828420Z digest=sha256:2095904fd76478eec1118a74441351378c3700053bd5bf67b2ae54748b5a248e

Observation 6955a465-4660-4db5-a29b-62daf9ac3edc · inbound

MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual Editing cites this paper.

MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual Editing OmniGen: Unified Image Generation

Reference 23

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source=pdf_text observed=2026-08-06T16:48:33.123960Z digest=sha256:d5386e86f51c7c51971f806e9133d5153726d956073f3305b454d4be6adb7f6b

Observation 6ea76899-4891-4a1f-b045-4b18f4c644e7 · inbound

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling cites this paper.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling OmniGen: Unified Image Generation

Reference 46

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source=pdf_text observed=2026-08-06T15:19:24.201599Z digest=sha256:7b37d2ba8da2f63cd824748b27f775f3b0449d5c34905190eb94e41c93cd827e

Observation 230b10be-5175-47f5-b775-29df8959ee12 · inbound

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again cites this paper.

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again OmniGen: Unified Image Generation

Reference 42

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source=pdf_text observed=2026-08-06T12:10:08.299297Z digest=sha256:f6c1bb186b9a6541a3c6e14a99aec738296c72a53c03606126977a19c487e53e

Observation 8e4eb449-d5be-4cf8-843a-04875a7118ba · inbound

Trade-offs in Image Generation: How Do Different Dimensions Interact? cites this paper.

Trade-offs in Image Generation: How Do Different Dimensions Interact? OmniGen: Unified Image Generation

Reference 67

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source=pdf_text observed=2026-08-06T12:08:01.833799Z digest=sha256:7a1055e128f556aea99a15565d6c67e4d02696474ca86e044394d3ee03768ab3

Observation 3edc3efe-172b-41ad-ab61-728e4a57ea3c · inbound

MultiRef: Controllable Image Generation with Multiple Visual References cites this paper.

MultiRef: Controllable Image Generation with Multiple Visual References OmniGen: Unified Image Generation

Reference 56

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source=pdf_text observed=2026-08-05T22:32:52.032587Z digest=sha256:58d5f4ef5a30379c22c8b8b8a3da3dca1b1adefa06ec1d686ded55a4e67d83dc

Observation e5fb1619-8d3f-4ddf-9ea9-597676a3823f · inbound

USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning cites this paper.

USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning OmniGen: Unified Image Generation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T16:07:24.721187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:07:24.721187Z digest=sha256:f48fdfd9bd691d177d3d34abc2fc5e5c9935d5a12bad4f6b554be950a3ce1cbe

Observation 14a2b719-71e3-4b8e-9dda-8c93cf73e52f · inbound

NoiseShift: Resolution-Aware Noise Recalibration for Better Low-Resolution Image Generation cites this paper.

NoiseShift: Resolution-Aware Noise Recalibration for Better Low-Resolution Image Generation OmniGen: Unified Image Generation

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:44:22.909471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T21:41:29.502472Z digest=sha256:8efe817a484a9fb07d6fe89fd9580a192ad79933f1a5e3a39679536573bb67aa

Observation 423672cd-2c93-41ae-bffa-6c9cfe342bf8 · inbound

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs cites this paper.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs OmniGen: Unified Image Generation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-03T14:33:56.619269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:33:56.619269Z digest=sha256:8d2ccd47279975a66d788571ee1c3e6f6a0c91d4c9dda5b1b183ef5bc46fc1c3

Observation 0a64a267-7a04-4129-8131-7eceba068f6d · inbound

TIQA: Human-Aligned Perceptual Text Quality Assessment in Generated Images cites this paper.

TIQA: Human-Aligned Perceptual Text Quality Assessment in Generated Images OmniGen: Unified Image Generation

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:35:55.868169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T14:32:59.720416Z digest=sha256:1c710d6ae67c42e971dd434c1cc46ee4d59371ec7e1082cd555b3b1af94656d8

Observation 17604fd6-5982-43ce-856a-d0000180870c · inbound

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation cites this paper.

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation OmniGen: Unified Image Generation

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T15:20:08.693465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T15:16:59.801347Z digest=sha256:bec7afe6d5914b5082bd11fbff7294a17e1e7936b05d3c72b1965a4bc41549ef

Observation 9fd9efec-3976-443e-996e-564f9ae615b9 · inbound

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation cites this paper.

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation OmniGen: Unified Image Generation

Reference 69

Resolution
unresolved
no resolver link, observed 2026-07-15T12:51:20.969593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:51:20.969593Z digest=sha256:7355451add1f4a581d8a9256dadfe0c053ef0cea662d3ed469129ded1761b72d

Observation 11477df5-e65c-4e22-9cd9-86acdd606f1b · inbound

When Do Diffusion Models learn to Generate Multiple Objects? cites this paper.

When Do Diffusion Models learn to Generate Multiple Objects? OmniGen: Unified Image Generation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:15:31.941960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T08:07:10.345273Z digest=sha256:881859be1d1f43ca792488f3361639df98c03d4da37723f1106cf2787949ef3f

Observation 71f0c4d1-b583-495b-86d8-a6c6c491d0fd · inbound

PhysEdit: Physically-Consistent Region-Aware Image Editing via Adaptive Spatio-Temporal Reasoning cites this paper.

PhysEdit: Physically-Consistent Region-Aware Image Editing via Adaptive Spatio-Temporal Reasoning OmniGen: Unified Image Generation

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:36:10.044239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T19:33:13.609552Z digest=sha256:90be6357928de8d1f8c79b8e8b7e5d0ef3762967d67027a24fb2f9d5643ca68f

Observation 095296d1-c4ca-4a85-98a7-b6df063049a2 · inbound

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study cites this paper.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study OmniGen: Unified Image Generation

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:51:25.574478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T04:53:06.362430Z digest=sha256:3cf445c0d13d6d61b81b4700b733fdf5804aa08fb8b204e6b64f59358eb1c753

Observation eb4cc312-2be1-475c-95b4-94dff83ed120 · inbound

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture cites this paper.

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture OmniGen: Unified Image Generation

Reference 144

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:17:18.548562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T05:12:37.339084Z digest=sha256:84bf3753b85de60cfa6cbac52b64cb950ac38fac1ee6f177086080b0de7ea6b5

Observation f175fd57-55cf-4486-a815-c22354f2f227 · inbound

What Semantics Survive the Connector? Diagnosing VLM-to-DiT Alignment in Video Editing cites this paper.

What Semantics Survive the Connector? Diagnosing VLM-to-DiT Alignment in Video Editing OmniGen: Unified Image Generation

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T05:39:40.472240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T05:38:29.361039Z digest=sha256:7baa9416f64ee33cb93c55b9be961ad5db35e1a71ba17666441a1555e59be0e9

Observation f9c8dc0b-cc94-4b67-9f79-5a96c8a7bf96 · inbound

What Semantics Survive the Connector? Diagnosing VLM-to-DiT Alignment in Video Editing cites this paper.

What Semantics Survive the Connector? Diagnosing VLM-to-DiT Alignment in Video Editing OmniGen: Unified Image Generation

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T17:34:57.972085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T17:25:59.714252Z digest=sha256:de955379a1478fad4b3e846004baf67f06e59892939ec772cdc9080222572013

Observation 127112a8-4fc4-4fb0-9f8b-a5ae22a45085 · inbound

OmniGen-AR: AutoRegressive Any-to-Image Generation cites this paper.

OmniGen-AR: AutoRegressive Any-to-Image Generation OmniGen: Unified Image Generation

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:47:29.711536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T17:05:16.883488Z digest=sha256:f79d9694eb782693034a6fcee886453da14f2f40ce896e79ba11f1fd18666943

Observation ffcbb146-f548-4a9d-bf67-e30f7a882312 · inbound

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing cites this paper.

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing OmniGen: Unified Image Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-01T13:38:58.852140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:38:58.852140Z digest=sha256:29f91b09949574541df20e0113bc6955c330fcc8017fa096d096fe6204a7011a

Observation 6237bb20-3860-4477-8552-2da13e6cf190 · inbound

JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents cites this paper.

JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents OmniGen: Unified Image Generation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-30T18:12:00.567686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T18:12:00.567686Z digest=sha256:96280364c89de1d92e1850c2e62c949451ba658dfc9248f249155910e930eb27