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Paper Citation Record · LEDGER

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

As of 15 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 18 inbound Pith citation observations for arXiv:2505.18445.

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

pith.paper-citation-record.v1
2505.18445 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:10.270204Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:26:51.101070Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:19:12.834863Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved43
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d29cdc1-6a8f-40b6-bd93-2b011b4aef96 · outbound

This paper cites GPT-4 Technical Report.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-07T14:34:06.522546Z digest=sha256:6f766838d253624592569042aeefbdbd39fda286c52728d96483e0608dc14750

Observation e074d6b8-00f9-48bc-9769-ae97454657f6 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

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source=pdf_text observed=2026-08-07T14:34:06.596891Z digest=sha256:fd4eb4509d5620068453c963d5c76b31c1d1f462bc4fcad0184c047521d9b87a

Observation 3effefc4-64e0-467a-9ae2-cd6a1290947b · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Instructpix2pix: Learning to follow image editing instructions

Reference 3

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source=pdf_text observed=2026-08-07T14:34:06.720902Z digest=sha256:16cb6c3b71c6ba40aee5a202400ddbcba0a51e998788eaa9c42f5ebc100f794c

Observation 35a4b71e-4981-4626-8c13-d15246231c15 · outbound

This paper cites ConsisLoRA: Enhancing Content and Style Consistency for LoRA-based Style Transfer.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data ConsisLoRA: Enhancing Content and Style Consistency for LoRA-based Style Transfer

Reference 4

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source=pdf_text observed=2026-08-07T14:34:06.820716Z digest=sha256:593f85115cc897cd35fa286b0c19e48e2d2211920855a5a3d4c7e629b0e522ff

Observation b609a34e-7a46-45a9-ab04-ae22171eeeee · outbound

This paper cites TransAnimate: Taming Layer Diffusion to Generate RGBA Video.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data TransAnimate: Taming Layer Diffusion to Generate RGBA Video

Reference 5

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source=pdf_text observed=2026-08-07T14:34:06.927523Z digest=sha256:722f802bc252fef6a3d3e258a57716f2d5ac667b95c324904aa9d0685c3383b1

Observation 769319c2-aec0-47fc-a6c6-ca0f5bd3f085 · outbound

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

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Scaling rectified flow transformers for high-resolution image synthesis

Reference 6

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source=pdf_text observed=2026-08-07T14:34:07.087335Z digest=sha256:f7cb983f42f7988d504ba46cb92f42bbfcdf5610706dc2145ed3fad52078d395

Observation 8e9b8324-67d6-4029-92de-fc449d6c962c · outbound

This paper cites Implicit style-content separation using b-lora.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Implicit style-content separation using b-lora

Reference 7

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source=pdf_text observed=2026-08-07T14:34:07.173291Z digest=sha256:65ec3492a6f6cec991c4b9671438851be9f67040c005d7267b7add3a81b5bec8

Observation 6c8d3a38-98b2-4521-aeaa-22e4638805ed · outbound

This paper cites DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Reference 8

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source=pdf_text observed=2026-08-07T14:34:07.262503Z digest=sha256:ab062980025e89fead15e6cae6e1457fff905888a47958a9d5d8e621488cca86

Observation 4f6fe674-051f-45c4-905a-8e2a2b4c892b · outbound

This paper cites Generative adversarial networks.Communications of the ACM, 63(11):139– 144, 2020.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Generative adversarial networks.Communications of the ACM, 63(11):139– 144, 2020

Reference 9

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source=pdf_text observed=2026-08-07T14:34:07.409054Z digest=sha256:6ee8e26b9d5a31e3daefbbec30a936f1bb34a014307d977a2770f1929012ccaf

Observation f4c87c6a-4a38-4d99-a4f0-a318429f2db3 · outbound

This paper cites Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks

Reference 10

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source=pdf_text observed=2026-08-07T14:34:07.500157Z digest=sha256:356f91266911d81f330104ae6c167bdc312fae24eb18d66882e3d43eca0816b4

Observation be8790a1-aea2-44f9-8b18-e71455f78a01 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 11

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source=pdf_text observed=2026-08-07T14:34:07.584080Z digest=sha256:1f264168dcc1b9f981f28ea6f244595bb1c6795aa685931c1078f151b2789c69

Observation 5a567c4f-b27a-4b38-b65a-6da772439f5f · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 12

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source=pdf_text observed=2026-08-07T14:34:07.682986Z digest=sha256:e3ec0618d8f778dd5a4420d7b01c0703eb839f7f1cbc89bcb87811dee2e17fac

Observation 3ac792f2-efa5-45d5-b9ba-9e824c477ee2 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 13

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source=pdf_text observed=2026-08-07T14:34:07.771219Z digest=sha256:9a7ee1f8e3a6994b1e21fdf2fda1b2082c297ec375fa259c113005172e5e2cde

Observation ef110beb-4309-4d51-a7b2-a8f1c7209e04 · outbound

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

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 14

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source=pdf_text observed=2026-08-07T14:34:07.840166Z digest=sha256:4310a2d7cb0719a379f1e11ea1096f01b82da5e73f94d9638a8f3f0321b6543d

Observation e38a612c-d054-45e7-a329-6b7bdab6c38c · outbound

This paper cites Denoising diffusion probabilistic models.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Denoising diffusion probabilistic models

Reference 15

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source=pdf_text observed=2026-08-07T14:34:07.890996Z digest=sha256:63444ab04743bd77752635c4a8631d0e2e996997faa540a849f0a34ecafac32d

Observation 1345fff6-ccd4-476b-8ab2-45cf14063c18 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data LoRA: Low-rank adaptation of large language models

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:07.987685Z digest=sha256:df81735a411d6767da8c3a17e83a7292c0bf57f85d0b1be8aa240660b62b1529

Observation 0785b189-1431-49a6-b6fa-37f8774f33a8 · outbound

This paper cites PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data

Reference 17

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source=pdf_text observed=2026-08-07T14:34:08.117969Z digest=sha256:d1e03bcd8aaa789822ee9881e2d0cdb358fb22550950e29be9dd281ef5e62595

Observation 17f56b47-87ed-4ee2-8b57-887191005783 · outbound

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

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Multi-concept customization of text-to-image diffusion

Reference 18

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source=pdf_text observed=2026-08-07T14:34:08.226928Z digest=sha256:153b475116084f594ceedd8cc6e375e0d08a55b88e444ff0cf16b912513aa23b

Observation 85cb95e5-16fc-49f4-b74c-91c101f43835 · outbound

This paper cites an unresolved cited work.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-07T14:34:08.309654Z digest=sha256:eab3d6196d93af79b2f246a1fed56eef2fd83f4a262933f76982aa46b1e85638

Observation 46ee4401-9f31-49bc-ab03-193d9844c6c2 · outbound

This paper cites Flux-redux.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Flux-redux

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:08.367302Z digest=sha256:7a5b9e8e4ad79e1362be5eaf1532f3bcb5aff718730fd89f75d1fee3c5fed078

Observation 3a1a8f78-555b-489e-b3db-a88b273631c5 · outbound

This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 21

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source=pdf_text observed=2026-08-07T14:34:08.431458Z digest=sha256:36a9f1f01993820ea84067ff62ed3ba9389d56a14a711acf06da9a7255a5f4d0

Observation 14caeabb-6b1e-47fb-bfac-ae0d772e7058 · outbound

This paper cites Liblibai, 2025.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Liblibai, 2025

Reference 22

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source=pdf_text observed=2026-08-07T14:34:08.499845Z digest=sha256:b05cca6b5e7843485d883f8f950649ccc9cc3f500e9d69863c71e5a1b0b246b0

Observation 2e4810a7-1474-4824-bc10-5fc99ebd2f4e · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 23

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source=pdf_text observed=2026-08-07T14:34:08.568935Z digest=sha256:73a8429969fab82a05e19f2c1cb661616578e5f42807e21ec49c65e2fe5bad0d

Observation 65b82756-3f28-4158-9cc2-37cca5ef3d5e · outbound

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

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data T2i- adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 24

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source=pdf_text observed=2026-08-07T14:34:08.629534Z digest=sha256:6be8570df36e4d573196558ee32708e21f8ced31fbf27dcb3a163341e1ba3a9f

Observation de3e0fe3-0290-4195-b903-e405c77dad86 · outbound

This paper cites Multi-modal Attention for Speech Emotion Recognition.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Multi-modal Attention for Speech Emotion Recognition

Reference 25

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source=pdf_text observed=2026-08-07T14:34:08.695045Z digest=sha256:62ec218f4724519548a6940dfdcee6e8a6ffb1d9d9711b5191254b00a57dc35d

Observation ea54f20c-defe-4308-a4d5-9e3f0a65efec · outbound

This paper cites Scalable diffusion models with transformers.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Scalable diffusion models with transformers

Reference 26

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source=pdf_text observed=2026-08-07T14:34:08.751147Z digest=sha256:df934fa4b3aae12ed2bbca9700b11ba7d5b1e03b800a06caf283cfa45d2517b0

Observation c6d00b7d-8d7e-433d-874a-d81a1bec21a7 · outbound

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

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 27

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source=pdf_text observed=2026-08-07T14:34:08.831158Z digest=sha256:6431d485b0f4d91b496d6b1c4347375b1cb43f779e968dc933da97e7ea1f413c

Observation e9472320-4934-42fa-b57b-2d6a48c089d0 · outbound

This paper cites Learning transferable visual models from natural language supervision.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Learning transferable visual models from natural language supervision

Reference 28

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source=pdf_text observed=2026-08-07T14:34:08.886576Z digest=sha256:c5f8afb2130ab9014e8c92c7f7704c5bc0e8ac7130317909f26def7a9f6836cf

Observation 6f165e22-e88a-482b-b07e-3909ceee5808 · outbound

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

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data High-resolution image synthesis with latent diffusion models

Reference 29

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source=pdf_text observed=2026-08-07T14:34:08.973276Z digest=sha256:4fe6b7361ff17b3b7bd06225bf550bc68e285850c555870cb0ce955fda03d627

Observation 152af85d-2fb3-4e50-acab-0fd18e5817c6 · outbound

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

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Dream- booth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 30

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source=pdf_text observed=2026-08-07T14:34:09.013704Z digest=sha256:386c506042bb3f0740e23f5c270087ed80aa8152b819eecd2108dd51eb9eb97d

Observation 957bf954-0bcd-4643-986c-4130e00736b5 · outbound

This paper cites Ziplora: Any subject in any style by effectively merging loras.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Ziplora: Any subject in any style by effectively merging loras

Reference 31

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source=pdf_text observed=2026-08-07T14:34:09.071278Z digest=sha256:050a8d2264c099e9c6a0701e4d481e36ff13b6f446eb5dcd54527adb34bc7754

Observation d5f93218-59d6-4522-a384-48a304fb325d · outbound

This paper cites LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer

Reference 32

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source=pdf_text observed=2026-08-07T14:34:09.126515Z digest=sha256:6e3b1652dfccc5e71a623c372216ecce7f4a9708d79e00b827a90e2fd17556c8

Observation af16f9ba-e537-4b83-85d2-372a45c0a4f6 · outbound

This paper cites ProcessPainter: Learn Painting Process from Sequence Data.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data ProcessPainter: Learn Painting Process from Sequence Data

Reference 33

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source=pdf_text observed=2026-08-07T14:34:09.201987Z digest=sha256:5992862007211a11484d29a85ed69d51f731bfb4d351f1ee994b68abfaa1d56f

Observation 26bdb86f-125e-4a6e-a8e5-d1089ff65177 · outbound

This paper cites MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generation.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generation

Reference 34

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source=pdf_text observed=2026-08-07T14:34:09.275472Z digest=sha256:d2a980180cdcab9ceb244675e744c3b688c326428d23931db25baf8435f2b3c2

Observation 3c50b7ae-ab67-49ce-92c6-6a8e5f86ac93 · outbound

This paper cites OminiControl: Minimal and Universal Control for Diffusion Transformer.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data OminiControl: Minimal and Universal Control for Diffusion Transformer

Reference 35

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source=pdf_text observed=2026-08-07T14:34:09.326733Z digest=sha256:2e57125c492f587a20b73953546c3582f0b9b0430c98ef7c64f7cbc8da59b332

Observation d52d6e65-36c8-4157-8984-ef8a617cff05 · outbound

This paper cites OminiControl2: Efficient Conditioning for Diffusion Transformers.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data OminiControl2: Efficient Conditioning for Diffusion Transformers

Reference 36

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source=pdf_text observed=2026-08-07T14:34:09.380866Z digest=sha256:7cf002984a72c493ca1940c1b1640edb7645efff1ec05338efc3d99a719d800b

Observation 873c16d4-f456-4da5-8e49-cf21a67b47d9 · outbound

This paper cites Grid: Omni Visual Generation.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Grid: Omni Visual Generation

Reference 37

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source=pdf_text observed=2026-08-07T14:34:09.417890Z digest=sha256:1e9042fc78d901463f49a51505028cbb52f8ce1509784de27489805311660c11

Observation 772893d1-dabb-4d7c-a5e5-59418787ba18 · outbound

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

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 38

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source=pdf_text observed=2026-08-07T14:34:09.501001Z digest=sha256:cd2d839555ce0ef904d86cd97aa6fa94cd3919ea904d17645fb31dae3c94f0a0

Observation 19965903-a253-4b37-b46d-b965675832c3 · outbound

This paper cites StyleAdapter: A Unified Stylized Image Generation Model.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data StyleAdapter: A Unified Stylized Image Generation Model

Reference 39

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source=pdf_text observed=2026-08-07T14:34:09.584815Z digest=sha256:e03c8b84d1c6abe069ed4137ad7918bf464aa0bfa2b8ea55e4f93521f144496e

Observation 56779c01-ff86-4c49-ad05-5ff11ae683e4 · outbound

This paper cites StyleAlign: Analysis and Applications of Aligned StyleGAN Models.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data StyleAlign: Analysis and Applications of Aligned StyleGAN Models

Reference 40

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source=pdf_text observed=2026-08-07T14:34:09.678406Z digest=sha256:b3291a4affe425563a70f1c0d68be1110e65b2db57b8c2ef3fb8e197d1596930

Observation c9734826-18d2-4e22-9239-3d9cd7a29506 · outbound

This paper cites Cmmd: Cross-metric multi-dimensional root cause analysis.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Cmmd: Cross-metric multi-dimensional root cause analysis

Reference 41

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raw_fallback, observed 2026-08-07T14:34:10.935806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:09.742158Z digest=sha256:7772d0875917d04271feadb105043a681c0e1fa7622a6ba3c5237e7609a3c2d1

Observation f28f6729-0b4d-40aa-a89a-d34c178fade1 · outbound

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

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data EditWorld: Simulating World Dynamics for Instruction-Following Image Editing

Reference 42

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source=pdf_text observed=2026-08-07T14:34:09.823070Z digest=sha256:f30eb085ac8a81350fa570c8be7602f21773eb8c232eac4caa84d3a0b08957d5

Observation 54aea51b-6597-4ff3-bcd4-9c53e59ccf7e · outbound

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

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 43

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source=pdf_text observed=2026-08-07T14:34:09.934738Z digest=sha256:ef19477c98710440eb6e5c878587a934c0c5d3be0be41706b28586bb5abe078c

Observation e851373e-d612-4d63-9e31-c34164ee7d39 · outbound

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

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Adding conditional control to text-to-image diffusion models

Reference 44

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source=pdf_text observed=2026-08-07T14:34:10.008633Z digest=sha256:129d1bd7b7172c5712bef77d9507b6958f666a797cc482b21609a990d702cdca

Observation dab807c5-4f2e-4f18-8e70-26938bde67e6 · outbound

This paper cites Ssr-encoder: Encoding selective subject representation for subject-driven generation.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Ssr-encoder: Encoding selective subject representation for subject-driven generation

Reference 45

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raw_fallback, observed 2026-08-07T14:34:10.827208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:10.074039Z digest=sha256:04be0fd0aa96b4ed1ea668e3abcc987d3447291c8d480fe426a38defcc4f2972

Observation ad24e55a-e3e4-4cc8-b668-a5a9ee6efd4e · outbound

This paper cites Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model

Reference 46

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source=pdf_text observed=2026-08-07T14:34:10.129619Z digest=sha256:d6433655a0797c2082278ca974fd6631c865ef1964c11c7170bf476d4b596656

Observation 3846f42f-f31e-4939-bdf9-6c7dc7694a21 · outbound

This paper cites EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer

Reference 47

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source=pdf_text observed=2026-08-07T14:34:10.189591Z digest=sha256:000173836ffd140079a6745f51b0068b7cb73e9b70fe5d23d652787be8adf6a0

Observation e22d9b2c-2e23-47ad-8ca0-6f42dc21243a · outbound

This paper cites Stable-Hair: Real-World Hair Transfer via Diffusion Model.

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Stable-Hair: Real-World Hair Transfer via Diffusion Model

Reference 48

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source=pdf_text observed=2026-08-07T14:34:10.270204Z digest=sha256:966f72679fc8e9e89bcca52989f9c31db992a724b18184f9a929c3bd0105529e

Pith citing papers

Observation 9e4cfae6-bf75-4f67-87db-df74d1cde78a · inbound

FonTS: Text Rendering with Typography and Style Controls cites this paper.

FonTS: Text Rendering with Typography and Style Controls OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 60

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source=pdf_text observed=2026-08-12T10:26:51.101070Z digest=sha256:32409d6e2873de1f0be7a1cd5705bf7b4e876d5f35ba48c2f805881b76cb780b

Observation 001c4663-6def-4b3b-a529-11e8f8bd7480 · inbound

LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer cites this paper.

LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 2025

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source=pdf_text observed=2026-08-09T16:37:25.880638Z digest=sha256:949a84a1294a0e6139ff1241ccbe5bc77dc64f8ecad044f6197179fd25314fa0

Observation d8fdb208-d409-4c04-a7fe-831841288831 · inbound

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers cites this paper.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 42

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source=pdf_text observed=2026-08-07T11:26:29.016351Z digest=sha256:bd5b2faf07be6a19721b25c8371a8d03606919ca5315478f829390aa586800e0

Observation aedbc77e-5040-4f31-a9dd-25384b093389 · inbound

FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning cites this paper.

FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 46

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no resolver link, observed 2026-08-03T20:54:30.539292Z

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source=pdf_text observed=2026-08-03T20:54:30.539292Z digest=sha256:0d739181fcd39b3ff838d4fdb6194c583309cc2eadaf5ee0db0da5fbd775c428

Observation 4b402446-e5e8-49ce-82e1-775aee7edd3d · inbound

WorldWander: Bridging Egocentric and Exocentric Worlds in Video Generation cites this paper.

WorldWander: Bridging Egocentric and Exocentric Worlds in Video Generation OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 38

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source=pdf_text observed=2026-08-03T19:54:50.144909Z digest=sha256:85e482c619baa353fdfee4d420919fe7bc3c757c70735b648c388c39959b3b19

Observation 782723bc-4a61-418f-89d6-f223e32d0b3b · inbound

ST-BiBench: Benchmarking Multi-Stream Multimodal Coordination in Bimanual Embodied Tasks for MLLMs cites this paper.

ST-BiBench: Benchmarking Multi-Stream Multimodal Coordination in Bimanual Embodied Tasks for MLLMs OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 105

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arxiv_id, observed 2026-05-16T06:00:40.454026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-16T06:00:02.043029Z digest=sha256:8c8f2ad4abd18fc3fd1ac139cdeb93ed98fee2fe0629b12e31d693a12c0eda19

Observation e62a9b1e-0ad0-4fe1-b345-8197d6ae3cf5 · inbound

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

ReMoT: Reinforcement Learning with Motion Contrast Triplets OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 93

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source=pdf_text observed=2026-08-02T19:58:25.912448Z digest=sha256:a0295e19f2351c1d703308dcf233b6e447c48eecaa954d5e57e2d6ca8d08a017

Observation 312c03c4-b679-43ec-a3e7-b67c60bea052 · inbound

AutoAWG: Adverse Weather Generation with Adaptive Multi-Controls for Automotive Videos cites this paper.

AutoAWG: Adverse Weather Generation with Adaptive Multi-Controls for Automotive Videos OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 33

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arxiv_id, observed 2026-05-10T03:29:21.931007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T03:26:27.592191Z digest=sha256:40f4aa691a358aa5e95d32a3b9d6adff6dad7c8bb6c6093b7b9bdabceb46a9c5

Observation 5afc8751-e9bb-4cfa-9398-ed545d1a5b87 · inbound

OmniHumanoid: Streaming Cross-Embodiment Video Generation with Paired-Free Adaptation cites this paper.

OmniHumanoid: Streaming Cross-Embodiment Video Generation with Paired-Free Adaptation OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 32

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arxiv_id, observed 2026-05-13T06:57:27.959370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T06:54:49.169238Z digest=sha256:c579a9e8bd67ef39bc661bd395565834e020209797a37903c26d3f71269589a6

Observation 00c2ce51-69c2-40d7-8e57-32c3398d5472 · inbound

StreamingEffect: Real-Time Human-Centric Video Effect Generation cites this paper.

StreamingEffect: Real-Time Human-Centric Video Effect Generation OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 62

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arxiv_id, observed 2026-05-19T20:12:44.781199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T20:11:47.359922Z digest=sha256:b9fd5f17501cbfd04dc052f0188f5a49347d2d6a9b58b75a2043bdd0785cb6fb

Observation 593112f1-4816-49fa-9405-3ca20d3f5188 · inbound

VISTA: Triplet-Supervised Video Style Transfer with Diffusion Transformers cites this paper.

VISTA: Triplet-Supervised Video Style Transfer with Diffusion Transformers OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 45

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arxiv_id, observed 2026-05-20T14:18:21.406432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T14:14:41.662856Z digest=sha256:fe9bac6c47a67ed86cb9efca4d02aa991ac8648fcc86a07c9fa3b9c10bb7ec63

Observation 89d81d26-a7fb-4fa0-b3c3-d8267e612239 · inbound

SWEET: Sparse World Modeling with Image Editing for Embodied Task Execution cites this paper.

SWEET: Sparse World Modeling with Image Editing for Embodied Task Execution OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 39

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verified exact
arxiv_id, observed 2026-05-20T07:08:07.245242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T07:04:24.854846Z digest=sha256:de0d6f900087fc03297787f94fda2e654285887828d72caab4fb6e34d01a134c

Observation 5175c3d3-a529-484b-8520-7bcbb45dbb1b · inbound

CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation cites this paper.

CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 38

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verified exact
arxiv_id, observed 2026-06-29T22:44:01.938068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T22:34:34.927202Z digest=sha256:024aa8494337a59a04324c4026f4e1939ca27f4a0e6a63604af9ecbeaa30cf1d

Observation d3a7ad60-0726-4181-9897-8813771818e1 · inbound

PAI-Studio: Cinematic Video Background Replacement with Camera-Aware Motion cites this paper.

PAI-Studio: Cinematic Video Background Replacement with Camera-Aware Motion OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 44

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verified exact
arxiv_id, observed 2026-07-01T21:16:14.697755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T17:14:23.336848Z digest=sha256:04bca4c62ea36938da81c4df42430396d99989e8c25aa8918ba41f4e2e980376

Observation 7ccf85af-3d38-4db9-9386-e5136e2259f8 · inbound

Style-CCL: Content-Preserving Style Transfer via Curriculum Continual Learning cites this paper.

Style-CCL: Content-Preserving Style Transfer via Curriculum Continual Learning OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 14

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verified exact
arxiv_id, observed 2026-07-04T00:19:12.836455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-04T00:12:14.850098Z digest=sha256:6074000b84ac2a2af9c88a8173d42aec19a29e7b5068471754463f50db2957bd

Observation 4930cf4f-d25e-4ef8-93ed-90ced98195e0 · inbound

TeleStyle V2: Beyond Content-Preserving Style Transfer with Self-Distillation and Distribution-Matching-Distillation cites this paper.

TeleStyle V2: Beyond Content-Preserving Style Transfer with Self-Distillation and Distribution-Matching-Distillation OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:38:55.294620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T01:15:55.971386Z digest=sha256:409916cd7bcc65e5b01150498ea1774fb3ed13b010e261534164c39a9d413b50

Observation 1ec51f29-0099-4b2b-8bbb-beb9703fc51d · inbound

Ghosts Beneath Textures: Texture-Relation Cues for Cross-Paradigm AI-Generated Image Detection cites this paper.

Ghosts Beneath Textures: Texture-Relation Cues for Cross-Paradigm AI-Generated Image Detection OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 44

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no resolver link, observed 2026-07-11T23:26:36.541592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:26:36.541592Z digest=sha256:de18f384324f67ade16f8d329947d1e555be8e38f6c212cd9232038d54f04ab3

Observation 6781a39a-a1e0-4bea-9785-aaee61925ed0 · inbound

Staying True to the Origin: Continuous Image Stylization with Smooth Transitions cites this paper.

Staying True to the Origin: Continuous Image Stylization with Smooth Transitions OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 14

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no resolver link, observed 2026-08-12T00:26:55.102550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:26:55.102550Z digest=sha256:fa2ef1e95f11041b5e83cec177fb048b19c73c4a56a64556856dee689859ad62