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Paper Citation Record · LEDGER

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

As of 23 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 22 inbound Pith citation observations for arXiv:2412.07774.

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

pith.paper-citation-record.v1
2412.07774 v2

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:33:58.020660Z

measured 98 of 98 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:38:31.678978Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:37.949735Z

Reference resolution

76 of 76 outbound references displayed

  • verified exact0
  • verified fuzzy50
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e9f94f53-2f51-4e6b-95d5-8529fa484d72 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics In- structpix2pix: Learning to follow image editing instructions

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:59.026306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 895345a0-bfab-480f-9945-cffe76e38903 · outbound

This paper cites A computational approach to edge detection.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics A computational approach to edge detection

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:59.013383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f36ad07a-46f5-41a8-98c4-ca6455c61a60 · outbound

This paper cites Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:59.000891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.730031Z digest=sha256:d81847175d1430f9fbaeee19380665dd809f2bbe6483a29026c50faf2d318807

Observation b96b96ef-8aca-4005-ba8f-f2a66831e18e · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Emerg- ing properties in self-supervised vision transformers

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.733845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.733845Z digest=sha256:6fb22ce127f3f4304687f1576a41211c1cd78b519d39f1cb7c6f4cb2e5efd718

Observation 33e3e1ea-0bcb-47d3-9f88-b521fe54967e · outbound

This paper cites Pixart-alpha: Fast training of diffusion transformer for photorealistic text-to-image synthesis.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Pixart-alpha: Fast training of diffusion transformer for photorealistic text-to-image synthesis

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.980079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.737465Z digest=sha256:da01828fd29b24daf3ad95f5e6abc1f838842bab9f9a10916dd73db91d6fd103

Observation b3a1c4fc-168b-4c86-80ba-cf4a6387aa43 · outbound

This paper cites Wear-any-way: Manip- ulable virtual try-on via sparse correspondence alignment.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Wear-any-way: Manip- ulable virtual try-on via sparse correspondence alignment

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.967837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.741675Z digest=sha256:a848bd051b112d626a66ec5c7646f78eb5df0188d5386f5b65ba50e301820846

Observation c3e65cca-ed5d-4997-ad76-6b869c38fc4c · outbound

This paper cites Re-imagen: Retrieval-augmented text-to-image generator.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Re-imagen: Retrieval-augmented text-to-image generator

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.955271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.746089Z digest=sha256:c56bea6c119524bc34da87b1e00288e770bcaa55bbd2d6d163a682128680f86e

Observation 31916d49-519a-42bf-8e71-d51befd741c7 · outbound

This paper cites Subject-driven text-to-image generation via apprenticeship learning.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Subject-driven text-to-image generation via apprenticeship learning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.942164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.749910Z digest=sha256:1a0da1a5ede7e828838eca9d58656540ba8c7fd7d605e35fb259baca1ccfde60

Observation a219ff8a-8092-4833-9bd0-b41102b6a779 · outbound

This paper cites Zero-shot image editing with reference imitation.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Zero-shot image editing with reference imitation

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.929249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.753726Z digest=sha256:9a5d49c0b4975ae1964d23e1e77e21418bbbf9551482f31b378afd6d4b05611c

Observation 8dfac905-46ad-4072-bb38-55074f9e35db · outbound

This paper cites Anydoor: Zero-shot object-level image customization.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Anydoor: Zero-shot object-level image customization

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.915391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.757523Z digest=sha256:129e90a6dea1094680e3f57899c1e8ef7f31950914d9b12ecf9213f283179266

Observation 10fc6e68-0ba3-4941-87f0-a98165929b05 · outbound

This paper cites Viton-hd: High-resolution virtual try-on via misalignment-aware normalization.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Viton-hd: High-resolution virtual try-on via misalignment-aware normalization

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.902722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.761640Z digest=sha256:000eb3212e4f5895d3af72369fb8cdf36a85b9cff0dc3e475d3ff8aea57a2b8a

Observation 8b275b54-be1f-4dc3-b741-7f2cb7f13abe · outbound

This paper cites OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.765474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.765474Z digest=sha256:b2df7cda78b1791fea95b19791390c1f98fd50202f21bf4bcc91e1f1f758217c

Observation 2a11af4f-8ed8-4e46-b2fb-0e6f0b6b1c71 · outbound

This paper cites Guiding instruction-based image editing via multimodal large language models.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Guiding instruction-based image editing via multimodal large language models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.891083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.770350Z digest=sha256:816ee6b58bb2d4ece41284c5f149dc6399969b8e2b7e990449d3f1db108e4227

Observation fc749943-4800-4fb6-94be-7c19e52ac240 · outbound

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

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.774676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.774676Z digest=sha256:ce099acefa42815faf7530f76ca5dfeabe4b03f880ffc50c4e6bdbbb0f506602

Observation 695297ea-9af9-4ab6-b779-4e28a9b31aef · outbound

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

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.778792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.778792Z digest=sha256:9e3ce26232e92490e4bcef9516f8febd247efbaf5e1e276ee9e8d69a4dcaa181

Observation 8f25f6d1-24b3-4124-a5c0-0fe849f6dbab · outbound

This paper cites Prompt-to-prompt image editing with cross attention control.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Prompt-to-prompt image editing with cross attention control

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.879105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.783193Z digest=sha256:84a0f331e8c4928de53a0aacf299b5e9d7ffdd6cc1704d80614f737008567d1a

Observation 54108397-2a62-4ce2-9075-8a99cda98217 · outbound

This paper cites Denoising diffusion probabilistic models.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Denoising diffusion probabilistic models

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.867872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.787169Z digest=sha256:a7dcf2db561909706788b8f9f8be9c94f2fa124ab3ed1f99e40a0f0d34654878

Observation b78e5fb2-42fe-45b0-8598-6dd991d235f7 · outbound

This paper cites Cogvideo: Large-scale pretraining for text-to-video generation via transformers.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Cogvideo: Large-scale pretraining for text-to-video generation via transformers

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.855742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.791185Z digest=sha256:c01acecf81792fb3eba515aab4ec71866625cbbaab1c772226df98bd7039ac16

Observation f342a9af-f117-4de1-b5c4-30b067a989ff · outbound

This paper cites Instruct-imagen: Image generation with multi-modal instruction.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Instruct-imagen: Image generation with multi-modal instruction

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.843708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.795257Z digest=sha256:a764b3ac804e9be831b082c889df1b3802cfc65037695ae5a7e92d73894ae61d

Observation 29de189c-1d43-47e5-9632-efdfa9d07fe3 · outbound

This paper cites Composer: Creative and controllable image synthesis with composable conditions.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Composer: Creative and controllable image synthesis with composable conditions

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.831043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.798945Z digest=sha256:e569364183b76248529e0475f1e1ed3c5e49a7d745fc53651ea42af885de70d1

Observation cdafa799-d651-4c04-b0bd-bed43f187253 · outbound

This paper cites HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.803323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.803323Z digest=sha256:3a79aafb6727d597fb7599ec3dfc17c4f16135e4f5d70c1cafaaf9ca62f05d96

Observation 8f2d526b-4699-476f-8c85-481b91e47c42 · outbound

This paper cites Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.808200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.808200Z digest=sha256:05b52b4ed2b6e1f9c5b54a1c5639503c7924ae345e25647a3fe17dcf599b453c

Observation 48ba5aac-3dd1-4bfe-90b7-90825bfabf56 · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Imagic: Text-based real image editing with diffusion models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.812958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.812958Z digest=sha256:ea275cfa8c9122096ebd319c2b042bd09e8d93c8ee92ed36c0e52aca78d43f32

Observation 8fc3bfc1-1e65-4ec0-a835-89a9209acc27 · outbound

This paper cites Referitgame: Referring to objects in pho- tographs of natural scenes.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Referitgame: Referring to objects in pho- tographs of natural scenes

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.797385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.816726Z digest=sha256:2f776170bfa0e5272c7b7c5cf07fb7e7f9d758ce99938d3e0949b0aa85172255

Observation b9b72a98-4f69-4c11-af69-d4a19a7173d9 · outbound

This paper cites Stableviton: Learning semantic corre- spondence with latent diffusion model for virtual try-on.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Stableviton: Learning semantic corre- spondence with latent diffusion model for virtual try-on

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.784262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.820477Z digest=sha256:c3455bc7a601e35cd8ab3154a8ae3b274888e99d7767b3e447dc9630e28d05fe

Observation 614530b7-0686-4638-9b81-e931d37243e9 · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Multi-concept customization of text-to-image diffusion

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.823983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.823983Z digest=sha256:a46f5d3092cd47b3bdcd49138036321f5422027357c1f6fd470cd6846c6d92ec

Observation fa4ef2f3-4f33-48a9-9b06-54fecd6d7b21 · outbound

This paper cites Blip-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Blip-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.763872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.828357Z digest=sha256:c010bd09eb70cbd3165067377e8833d9cdeaa207f072644755a5788820a5dd09

Observation 3ae6b054-9040-4508-a637-e6c580deb48e · outbound

This paper cites Photomaker: Customizing realistic human photos via stacked id embedding.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Photomaker: Customizing realistic human photos via stacked id embedding

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.749846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.832142Z digest=sha256:93adc75c068d7c2eee3923a6457b5ce6e4924d9622f2e979a0775cc87d9cbfce

Observation 3fc74c25-f842-4d82-8d38-90742d42a60c · outbound

This paper cites PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.836250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.836250Z digest=sha256:8e2f95228f1b4c79ef6e76327450ffd9659208e3c7fb66ea6689c634d2e50540

Observation 69c3e385-7474-4f08-8cf9-718c75476641 · outbound

This paper cites Flow matching for generative modeling.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Flow matching for generative modeling

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.735333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.840352Z digest=sha256:f6085940062abfc44670af89535be468fbf6be431ba6669b0c9f9aa53eaf5c2f

Observation f43cd28e-978f-496f-a873-f0b52a9dcbce · outbound

This paper cites Cones: Concept neurons in diffusion models for customized generation.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Cones: Concept neurons in diffusion models for customized generation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.720692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.843835Z digest=sha256:36955f53499688fb26991863e48294a8001a719a7951cb4fdde9f7cd288406b1

Observation 7ded4431-d45f-4476-a75e-62cf791d1bf7 · outbound

This paper cites Cones 2: Customizable image synthesis with multiple subjects.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Cones 2: Customizable image synthesis with multiple subjects

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.707382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.847285Z digest=sha256:373c809be63da2f4e7ecc491503e449aef057519591d3b8c0713bbccf278dccd

Observation 8e2b2f05-7aaf-4c16-905c-713d853b3902 · outbound

This paper cites Generation and comprehension of unambiguous object descriptions.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Generation and comprehension of unambiguous object descriptions

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.694186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.850399Z digest=sha256:6485c25cfa4f3353e2d1363a8aae78b9916a2212dd9577fa52b2afa8f2999f1c

Observation 23f8e44f-a907-48fa-8bd3-bcca324021ea · outbound

This paper cites Sdedit: Guided image synthesis and editing with stochastic differential equa- tions.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Sdedit: Guided image synthesis and editing with stochastic differential equa- tions

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.682184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.853717Z digest=sha256:5e8e0f1e969a691f5e96392f0e42b2865f8facefe26d5a44fa9577aa69f338d7

Observation d3f16b44-36ff-4229-bda6-f0a3255e1498 · outbound

This paper cites Null-text inversion for editing real images using guided diffusion models.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Null-text inversion for editing real images using guided diffusion models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.670280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.857585Z digest=sha256:ffba7683df054943cddeb05a6518b12e613de7e68d9e2f61bff50191b276bdd3

Observation 8d8e2b92-e988-47f7-a485-e7cd5532340b · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.861707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.861707Z digest=sha256:5f9a6cbbe84e42f931169a4337d7b055884e8ec4ae39f303830aaa2e0b850f86

Observation c7664459-20c2-45c4-8f25-7f440cbb06ae · outbound

This paper cites Gpt-4o mini: advancing cost-efficient intelligence.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Gpt-4o mini: advancing cost-efficient intelligence

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.650079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.865650Z digest=sha256:609e595b11ed8563ff96e313fcba7f210a5a18ce2653ef98cb77adb359749d8f

Observation aecb9b1e-0c14-4bc7-9983-c35e19e1c078 · outbound

This paper cites Sora: Creating video from text.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Sora: Creating video from text

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.637771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.869981Z digest=sha256:e719e8984096e15cf02d234cf0e8066667f735ca7366f3c5c519d1ed5f5189ea

Observation cd655e81-e0c6-449f-ac83-cb88cdf4b152 · outbound

This paper cites Kosmos-2: Grounding multimodal large language models to the world.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Kosmos-2: Grounding multimodal large language models to the world

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.625173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.873650Z digest=sha256:6cc91da67fb9db90dfcf00d134df995f848a689674c28f6f14be0d17b1913ca1

Observation 720e331f-8855-460a-8420-4a91a1dbef5c · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.613165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.878014Z digest=sha256:e7c960d948a851b77475e071a3f50d808e1d1c96607666e073727c3029f728e4

Observation 64945124-7385-488e-99ba-75bfc66e0cef · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Movie Gen: A Cast of Media Foundation Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.881627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.881627Z digest=sha256:00784f3b5c457a64d283bd9137daa768d55ae5bdad253ba9ff486d2289bad0a0

Observation c9687b4e-b5b9-4961-aa4e-194da38e5233 · outbound

This paper cites BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.885994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.885994Z digest=sha256:717594fdc4e1f25fb57cd070efd6738cade44c7d26604e3326de1e7cccdbeeaf

Observation 861cf328-aaae-43fc-92ce-0da7e5fa2323 · outbound

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

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Learning transferable visual models from natural language supervi- sion

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.596574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.890109Z digest=sha256:348c440b00322208a6a7dd033ab2e5b0f48fc4e90eacf64c3a9f67b7bf0ab8e0

Observation fd995517-2111-464f-b819-57b6a8d8525e · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.583482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.894400Z digest=sha256:6edfdf2771d473c451449d3aab350396e00ba282b3db0b837779a3e80aafa43f

Observation 7ce94041-9ef8-4ca5-9d53-4c1ef748cf0d · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics SAM 2: Segment Anything in Images and Videos

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.898379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.898379Z digest=sha256:9c5cadbc713edb1005ccc65e040372cea346c9bb5a5b479959e321c238323141

Observation e0d7d24a-dc03-4569-b0c7-32be3d0af978 · outbound

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

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics High-resolution image synthesis with latent diffusion models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.902744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.902744Z digest=sha256:3ed393d238355f30879e6560f34f3b4c92cbdd2b08667793d270a3a587ca282d

Observation c3f76fe2-a09e-4780-b352-24fdb29883f3 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.563130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.906767Z digest=sha256:d47d221461ba56fbd74143783367dd4f64d30dba18c4d76e0f96d968214fb5d3

Observation bdac20a4-30d7-43ae-bbb1-db68dc0238f2 · outbound

This paper cites Emu edit: Precise image editing via recognition and genera- tion tasks.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Emu edit: Precise image editing via recognition and genera- tion tasks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.551210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.910724Z digest=sha256:e23e4a4375a748d6490f3e93f1c8d392ff1c23a2f8dc792e1b14a7d06ce9e558

Observation 3739bb4e-b329-43b6-9f4f-e1bec454e015 · outbound

This paper cites Styledrop: Text-to-image generation in any style.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Styledrop: Text-to-image generation in any style

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.537784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.914929Z digest=sha256:1f6ac796966fc376494a5b9606133cdfa3f8c293ce080df5487569f07ef62e21

Observation 41236103-2aca-42c6-958d-28e6336e4b05 · outbound

This paper cites Objectstitch: Object compositing with diffusion model.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Objectstitch: Object compositing with diffusion model

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.523886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.918869Z digest=sha256:8a5d2bb44d1413b074b3b2d34e4786f48816458a832da5da4aff4a6adbba5256

Observation 2266a2f7-5719-4462-889e-4f2243735d82 · outbound

This paper cites Imprint: Generative object compositing by learning identity-preserving representation.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Imprint: Generative object compositing by learning identity-preserving representation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.511930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.922917Z digest=sha256:5c13a5bfe95c249b54434c1298275651094073c913b2aaa48523513eeb174572

Observation 7dec477c-ec79-482c-9a59-0928c02b238c · outbound

This paper cites Cosxl model card.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Cosxl model card

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.500246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.926610Z digest=sha256:11f92b4766907d6709ae8cdbb31b356d87fe8f3b49fdc79479424166122442c7

Observation 3cedecc0-063d-43c2-b807-664404d0671c · outbound

This paper cites Generative multimodal models are in-context learners.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Generative multimodal models are in-context learners

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.489999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.929901Z digest=sha256:048cb3539739bf3d137f40d903ac99153f01fe6ffd47b83aadef28afe7045afa

Observation fc7968a6-4845-46e6-9b9e-cdfbd0190a4a · outbound

This paper cites Realfill: Reference-driven generation for authentic image completion.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Realfill: Reference-driven generation for authentic image completion

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.478409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.933919Z digest=sha256:3b3c52b50f6a0364f2f572a9d4827a22fcdf6b8f6bbff1281db2d17b9aee2145

Observation 34e6debc-a696-4d24-96d4-f1f0687544bb · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Plug-and-play diffusion features for text-driven image-to-image translation

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.465940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.937610Z digest=sha256:ab825977d10bd56340141904b0d11ce5487bbf7e144ff7e31e7cb601ac891111

Observation beb42cb6-b930-48aa-9635-20a0102d2fc0 · outbound

This paper cites InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.940921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.940921Z digest=sha256:db2613d2336cc73e632e314a4df2e993d05780a2c89100f5990a4453ea6a68fb

Observation 8640933d-c192-420b-98ba-922d8f97a84b · outbound

This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.944875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.944875Z digest=sha256:3d9c3359e9538a689ebc407a9880bd5d2ad58890192049876b3fcef03523db92

Observation a4cf857e-5700-46a2-94d9-b93036a69784 · outbound

This paper cites Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.453223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.948423Z digest=sha256:e599552d8190133e77d4b12f18be4203721e68ad41f9676d0db1f44c4e3c6f2a

Observation 0e9e71a2-b0d9-4b99-8fee-709a462ac081 · outbound

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

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.951832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.951832Z digest=sha256:6e0894db2b6fb65f00cd420cf615b2a5f7817a006f3d125dd3d81d6a7cef4800

Observation 1fb9dedc-167a-411b-854a-dc676fb895ba · outbound

This paper cites OmniGen: Unified Image Generation.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics OmniGen: Unified Image Generation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.956025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.956025Z digest=sha256:31c4b4af1dcccc3a88be5b7770818f340329dd6e5b739d130491ccbe97809d50

Observation 3d115039-021a-48b1-a09a-08f1ec65be30 · outbound

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

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.959943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.959943Z digest=sha256:7a5bf6345e9d0b69f4bd7b5dbb4c58b59d0b5f504d2fb2cd4acdeb5b179bc743

Observation 3729e44c-6c42-4e67-8051-0d25cf0e3a6e · outbound

This paper cites Flux-ip-adapter model card.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Flux-ip-adapter model card

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.440485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.963887Z digest=sha256:c38b538342f8aa90c7e264d5e672df05ea9ba8235db147882c2d25e9971c2f84

Observation c5dc4ce8-0a72-426f-8dec-db4bd9cd0c0d · outbound

This paper cites OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.967666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.967666Z digest=sha256:9cfe6b9a6e6592fa3443628cd40b52070f7b99588ae79f449df16713e73e9e2a

Observation cba8c054-b84a-42a8-aeb5-e94269283b64 · outbound

This paper cites Paint by example: Exemplar-based image editing with diffusion models.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Paint by example: Exemplar-based image editing with diffusion models

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.427760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.971657Z digest=sha256:bdb166d70cf1fc526547d259cca2c1b943692beaeef48590f97bc3301458761d

Observation df689ac2-4815-493d-b3a8-e801d9bb0288 · outbound

This paper cites Depth anything v2.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Depth anything v2

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.414828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.975388Z digest=sha256:5ccb881cc397f5210b29100ff3395d58294c6431ea5fb8aadbdd002a271f0c64

Observation 74da5e8e-556e-4179-9104-29f6f45e9714 · outbound

This paper cites EditWorld: Simulating World Dynamics for Instruction-Following Image Editing.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics EditWorld: Simulating World Dynamics for Instruction-Following Image Editing

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.978932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.978932Z digest=sha256:9604a0f4692a7b386bbe9e3426c4077ebc36c1066ca188465084480429420566

Observation 30b78857-1daa-4101-b705-24d2006bd27e · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.983330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.983330Z digest=sha256:c661b63d30a006ddb2633ee20f79f58b024e9fcceacccc947c6d650d0bf58918

Observation 2efd7014-9fda-4f3c-ae1f-5ef627d961e8 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.987538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.987538Z digest=sha256:625b77f5856774c078e53ad84327ab048c47274c7a71599e00866cd40ad9542e

Observation c315edf6-2d4b-4eb6-9d7b-334ed1cfee97 · outbound

This paper cites Magicbrush: A manually annotated dataset for instruction- guided image editing.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Magicbrush: A manually annotated dataset for instruction- guided image editing

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.402356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:57.991657Z digest=sha256:1280efe5372496778809154c90a32404d7a0033690b3dbbbf874d0f2d28b3fd6

Observation 1587edae-0479-42c3-8ed6-3253db218847 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Adding conditional control to text-to-image diffusion models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.995546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.995546Z digest=sha256:9fda27e75c581fd4af1a3e93d43de8a06055889c8c92cd419d753bfb63f86775

Observation 70a334b6-fb71-4c9a-9883-aa2064dab14c · outbound

This paper cites Flashface: Human image personalization with high-fidelity identity preservation.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Flashface: Human image personalization with high-fidelity identity preservation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.999351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.999351Z digest=sha256:954bd9313b521395512e0e259a0bf786cf4b979dbc01e58ce9afff18b3cfc497

Observation 06ab526e-58a4-453d-9b77-41330ba79e2f · outbound

This paper cites Ultraedit: Instruction-based fine-grained image editing at scale.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Ultraedit: Instruction-based fine-grained image editing at scale

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.379742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:58.003172Z digest=sha256:d8b19fd099fcfe4fa76581502833cafc479d7a74936d57434800ae56f18a87e8

Observation 999ba6ff-c42a-4e08-a5c8-dd73f63ebb6a · outbound

This paper cites Open-sora: Democratizing efficient video production for all.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Open-sora: Democratizing efficient video production for all

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.363941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:58.007167Z digest=sha256:d7caf4ed6fe6356206c9695a37a131899b62736c1281c460f0adf2300c4c536e

Observation f348260f-824f-44fb-bec8-de5442f712b0 · outbound

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

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:58.012511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:58.012511Z digest=sha256:796ff7706b9efd4a201df83e14c47b3d63b5b0f959a2fec87e24bea5cad414e8

Observation 27a116a9-7951-45e6-a3c3-9988704aca9d · outbound

This paper cites Transfill: Reference-guided image inpainting by merging multiple color and spatial transformations.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics Transfill: Reference-guided image inpainting by merging multiple color and spatial transformations

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.351781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:58.016991Z digest=sha256:169f5cc3880f4a1c4147504e5c4fc91d225b95c8471055fdec48395ca5c627b4

Observation 6d394b3c-bedc-404e-8c96-56af791e95d9 · outbound

This paper cites A task is worth one word: Learning with task prompts for high-quality versatile image inpainting.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics A task is worth one word: Learning with task prompts for high-quality versatile image inpainting

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:33:58.338604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:33:58.020660Z digest=sha256:0e172357a7587561920b6e769b11412ef56ef28c49cf1eca43d1df3eba44a8f0

Pith citing papers

Observation 624e8f0d-0a8f-48e4-bcb5-67e6aad1615b · inbound

Beyond Generation: Unlocking Universal Editing via Self-Supervised Fine-Tuning cites this paper.

Beyond Generation: Unlocking Universal Editing via Self-Supervised Fine-Tuning UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T23:53:46.868411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:53:46.868411Z digest=sha256:a1a614b094217517cd1c6dace0671d22db0f354c1baca03e4fe0f1d559b274d6

Observation 9e32d577-f4ab-4503-b162-f9ca96187b29 · inbound

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

VACE: All-in-One Video Creation and Editing UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-16T00:53:54.087578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T00:53:53.855965Z digest=sha256:12905460bafbd64fbaa379ee098fbe01d88da22e3239f0d3f26feaccea1c2821

Observation 5dca44e2-f1c7-434d-ba09-9e17200f4100 · inbound

Insert Anything: Image Insertion via In-Context Editing in DiT cites this paper.

Insert Anything: Image Insertion via In-Context Editing in DiT UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T11:38:31.678978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:38:31.678978Z digest=sha256:35ba3afbb86e6bceaa020ad1c17a512cb50aab033a804e5246d8e6e9c4019b4b

Observation 01fefccd-c054-450c-8b23-faa792628daa · inbound

MUSAR: Exploring Multi-Subject Customization from Single-Subject Dataset via Attention Routing cites this paper.

MUSAR: Exploring Multi-Subject Customization from Single-Subject Dataset via Attention Routing UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T00:43:56.095195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:43:56.095195Z digest=sha256:bd0dc0ae855957d3ac603da91206de16327aa1e41cc0a77660e62f88d4b20fd0

Observation ab528964-950d-4149-ab96-c82f5e05e0cd · inbound

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

Jodi: Unification of Visual Generation and Understanding via Joint Modeling UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:25:21.664689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:21.664689Z digest=sha256:e74ead9253672ed99bb187a7c5046f27154a08c1719c1308d5e5fdbd9c313dbe

Observation 32a1c487-0f0f-45d1-b6cb-035ad5f57224 · 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 UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:28.964637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:28.964637Z digest=sha256:0f74fd71db249cb9e647ccba2ceaca228a5bd3dbefa8a5199a45ab1daca41463

Observation a094c6ca-2e94-43e1-ab11-cc6705b54a3a · inbound

ByteMorph: Benchmarking Instruction-Guided Image Editing with Non-Rigid Motions cites this paper.

ByteMorph: Benchmarking Instruction-Guided Image Editing with Non-Rigid Motions UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:14:04.913110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:14:04.913110Z digest=sha256:00611d6ab9076328d508205838684e3ea4d9d5177a697d512942196adcd37223

Observation 070e05e2-3fec-4cfd-9dd1-6af808e2c668 · inbound

Image Editing As Programs with Diffusion Models cites this paper.

Image Editing As Programs with Diffusion Models UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:38.316876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:38.316876Z digest=sha256:2a0ed3d5b9c81a23b61cf376bcf2ee2595120fe590c552cdda2631bfee4c85f0

Observation 135a8b6f-0c09-4fc7-af1c-1b687d006953 · inbound

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

UNIC: Unified In-Context Video Editing UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:43.070533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:43.070533Z digest=sha256:96bb985eaefa11608a32d8187020fa57145d59feb04f5315e0cc37efabf6b3f3

Observation 30ddf113-d876-428b-b26e-898c2a7e035f · inbound

Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning cites this paper.

Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:40.028036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:40.028036Z digest=sha256:3c9a5fdc50a840104d1cd3fd8d7bf9d4e5a1a15f61f5add9a37bd40070a42d3b

Observation 014d59ee-aa01-4d8d-ab3c-afd2cc834df1 · 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 UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T22:31:37.447843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:31:37.447843Z digest=sha256:ac6d0f310c5e8ee96d6d5c4431af5763139bd1aee3da84d521def5634a1ba23a

Observation 46e8bf1c-3661-41d6-a1d8-1005c3bf9d12 · inbound

SeqTex: Generate Mesh Textures in Video Sequence cites this paper.

SeqTex: Generate Mesh Textures in Video Sequence UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 34

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no resolver link, observed 2026-08-06T19:56:37.386683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:56:37.386683Z digest=sha256:f9aebf9d8509e7921138950c774230e405fe5d9e49ee7a3ba586dffa24df522b

Observation c7c9f2e3-1128-46a8-b834-678c30e3a6bd · inbound

HOComp: Interaction-Aware Human-Object Composition cites this paper.

HOComp: Interaction-Aware Human-Object Composition UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 10

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unresolved
no resolver link, observed 2026-08-06T15:09:51.842385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:09:51.842385Z digest=sha256:f1ed0ea9f2d8faaa92842986bddf288a6eed555cf0eb5c396fcf424206d24939

Observation 7538dfb0-3678-4926-8cb4-af1755f7b91e · inbound

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

MultiRef: Controllable Image Generation with Multiple Visual References UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T22:32:51.746505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:32:51.746505Z digest=sha256:5f46e70a6d2b33afec313d2ee41c82c8df5227c96066ef71ad1d74648e1cc0ec

Observation c9ce814f-e447-4f02-8573-ed68ca605cbd · inbound

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels cites this paper.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T18:15:09.214089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:09.214089Z digest=sha256:b72eb035cf5ca2c7612af4aaac3b889bf14e86b78fb2ec20092f6f1adb329350

Observation 65e9867e-d57f-4ac7-bf4b-459c078fbebf · inbound

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward cites this paper.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T23:06:09.036965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:06:09.036965Z digest=sha256:453eb2e6e57d43a55bef8006029b101c39cea070b82faa7ef87ac3da78ed41d3

Observation 85cafed6-9bf7-46bb-b1da-268f07680143 · inbound

ReMoT: Reinforcement Learning with Motion Contrast Triplets cites this paper.

ReMoT: Reinforcement Learning with Motion Contrast Triplets UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T19:58:15.013476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:58:15.013476Z digest=sha256:28eeb2fb674537585e50f6120fe9465ddb1cfdaf91827f3c49be39687b11e012

Observation 9550ee2f-71d8-42d6-9f45-076d1807c10d · inbound

Edit Where You Mean: Region-Aware Adapter Injection for Mask-Free Local Image Editing cites this paper.

Edit Where You Mean: Region-Aware Adapter Injection for Mask-Free Local Image Editing UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:06:13.629870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-08T06:47:22.451132Z digest=sha256:a9229149a826eab58a4b5114654d1d89aa54d9259625ac0d5ea9e24bc6d9dd63

Observation 9b456ffe-b76d-40e4-8ef4-aa153883c5e2 · 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 UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:36:10.288554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T19:33:13.609552Z digest=sha256:3f874abfaaebd3a64297eb458b5abaf712c2b7bd668e6ac6cf57311c61f775f8

Observation 42e26078-a221-49d1-bae0-e1d63e8a1bb2 · inbound

Masked Generative Transformer Is What You Need for Image Editing cites this paper.

Masked Generative Transformer Is What You Need for Image Editing UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:06:26.020344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T04:35:52.355925Z digest=sha256:dd93857b533d38d582d5f0f18e0f273a0187f29bfa8e1664efad9813d742fa68

Observation 5a82cd6d-9108-438b-a77c-f075d23001ee · inbound

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams cites this paper.

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:29:37.951313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T14:24:19.702588Z digest=sha256:c82221bcc34d0542cd27ee7b163e0bd6c92db3195541d5fe016c094b728fcd3f

Observation ee11e9a0-c025-489d-b0d9-8713002e8185 · inbound

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams cites this paper.

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-04T02:47:40.421718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:47:40.421718Z digest=sha256:cbb891c9ffb4aba7b233e4d1d50f65b6fe4e7632f77572dbab7f0f997355a9e3