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Paper Citation Record · LEDGER

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 16 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 64 of 64 standing notices

One-hop event checks from named stored sources.

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

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:37:25.880638Z

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=sha256:4045bb37f477c3c262c3c0b8b7000a9c63f1d234ada43698670c170d812ca39c

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:dfb5b19ffbe8d28beb138e780784a902fd205236f8068749ec13753eca4570a1

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:bca645f85b92b0e3d6035ef2b253d84f7f46b7f00b52cd32b02e4a8172e44e01

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=sha256:61e2ea9cd397f94b4d61b58ef261ef05c9dc2b27d8dedf028c2a0dc4889ef4b7

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=sha256:09e694a9cd8f21dc49a487cacdc5661f5b3b0274f8e82fc0ad1edb5ca5bf4f9f

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=sha256:4ab60be8c5161bce56a9811fea0c15d065cd94117b838cfc6f6aba7a8400a5ed

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:aa365ff025ed2271ce0045ceeb227fe1e34fd293f5ae8a73bbe7a9efadacd1df

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=sha256:3bad3c385aad3600f2a9785e5e1e2d1316a178a9fc8837ac2bfeb39931446beb

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:bc014902acfdecf79c22ff6d0fd3b4ce033764b141e87fee3cb94569b05b1b34

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=sha256:570bb6050636c8080721c51470c56f573b1176f26e41117b5412896e8ea612bf

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=sha256:4f02a08f480d1889dbe7fe1ba319c47da9133e48206ef53f39e20739276d93e8

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=sha256:5e38e16926375d80eeff2e0746f03df43909d41c890155e7d22450a8010aa916

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:fefaebc5f65bc1df7702c074ca2714a73c9a3172bc5e0f986d6b7192f0360198

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=sha256:68ed8fa733c81f77f438f9ffdd949eba642cb2e21a189528d80d48ab1214bf9b

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=sha256:41835cbc6a4cf916fe872c7355a083404a1f559492192bfc5c674e7c475c8304

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:07.987685Z digest=sha256:b671d76c0dd2b93f2f1c52ec1b11dfa64a658c0e8be1068fa276523209eaf047

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:aa3ad32ca62e343754210ecb69f8f0fa2006b40c2fa5e194be0aa695027a44d8

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=sha256:0b45252aa4f11059c85f2f40ae25482ecf9e222cdbfc3d75580bed8e2341d178

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=sha256:40c827f261d780533d47c8d992a05495a51217f6cb398c3f445cfca53e548ae0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:08.367302Z digest=sha256:21f3e94a7caa76bc0c891182e25a0b5a7dfb301dc84b43126e713b6b6974d3fe

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:b316be95ce56219acdad0133537d2a370ad27af43ffc3a9a30f28350f0a66277

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

source=pdf_text observed=2026-08-07T14:34:08.499845Z digest=sha256:c1c451b668e60d1b013639accb1a60df80a86ab634e025fad42b91dfb201f64b

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=sha256:4fadf14886af86e828ce28069602b53848443aaa3582c1babac0a825a584d879

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=sha256:02bb087ba58e3d22f414ff0de7505e3f2037a3fb1f054c2ddd9778cc0708a712

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=sha256:1a956e00207dff4bade34655334aee457637cf4fb07b0f502de93f300b268511

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:ad8836332953c722cdfc0fec704f0effa44699d30774aa018f82dd252094277e

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=sha256:7b3b55677adf1ce0f256ba2bf6172fa9306e370d74eff3045218c4b7504af012

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=sha256:8dfdd1e012304f1b0f3736efc6138d79a0a5f9101844e7096ead6f9963ba8d67

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:edaecc41ea985943015a332dc2f0e962ab3b43c53793c488c55be3561cd399aa

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:a15cddda0bd449f59e4c04f725f67886989de0604a620047a4610c3387d70fe6

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=sha256:2ba08bbfd4e2f237f464bb406152d2aa88c1f89d4ad7ccd7163cfefe48a896a6

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=sha256:7915f6996a652a78583916494db7a194e8e201bd34ef4592076e00db2b12941f

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:b36a51221b95e1c2b15cbc59b0a222908e5ae86e717831bb146a439d356fbc77

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=sha256:76537b66c93fa201ec869b88b13ef62b5f4b13f4906c98794d290c5e06ea0b1a

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=sha256:39deff813c2aefd1f1ff1040ccadd6b6d9deab47f1f0cdf4e3ec719bf2557524

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=sha256:80d8c8d5e505b197486e2b5dfd0e4d47426f87956328defb6983d1adc7108f7e

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:a10f4fd60b80550a83d0870312c13929b3ca0c1873a837bdb278b0ae6212e4e5

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:e002b22e89918ee0c458d66b05021efd9590138fa96db7984923af5cef82cb4e

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=sha256:27717631cdde21170de285f2821d1e35cf35c044cdba6739744299478a417ee9

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:bd7e9e77be0278de05e698fd1b5a2e3dfb525844288fa171c4561c9077653903

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:09.742158Z digest=sha256:277252aa6187b8a65ccafc7df4b9635adfda933ddd437e83c4643897c9354d08

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=sha256:0ce58eb22b4fb8cdac6f37716cffdbca5695838b914d0a76ee48c4f37cbe6932

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=sha256:2c0278091bee00b9cfd95dc6fd76be45c6558d572c40a8f4199ca02adb2b0a86

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=sha256:7b31982ef7caf6d9533775e157831128ed8b626613a600be19165287ce9e5969

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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verified fuzzy
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:10.074039Z digest=sha256:0d87b57b8a3b570365d7c42b7d9ffd028260bbf39b2fbe51f25930e2d8631e3e

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:df3e2a4cc03b0030c225fb03679f0be512c9eb6bc2813afcf354e62a836c4979

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:f13b622f09fc5f5b2af15285c852692476db1a5846381e086be5d3e3ff63f765

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=sha256:110bb7d332a74b25abf96f19a7824d24541e1e49d59b4344fd52f8c2b233ae65

Pith citing papers

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:ca1da0e0375d94a1fdb42b253a15fea1a6661c3eeb3dea1900d25a8b49995c1e

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=sha256:1517c5a0de18759c96aa0ce4380dc41a654642e8e52c1d04cccecbca7f20b621

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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source=pdf_text observed=2026-08-03T20:54:30.539292Z digest=sha256:8e02bb42511c7bb9546e2f64bab156a59bdc01325359042f41c6ff639927926b

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=sha256:4529b0da8d55b19dffa6acdf15c475128eb9807ff1d99058c3c049738dbe5ff5

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

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

source=pdf_text observed=2026-05-16T06:00:02.043029Z digest=sha256:bcbe6b442bde8147b3c16d9c2f702c0ff1089e195a7ebf09a6bf363807fb4583

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=sha256:9a143aad548ed34d4ba379b59611d72c71a3afdac181ddcda3ff04fdbe6fdd1f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T03:26:27.592191Z digest=sha256:d61c880acdff73049bd22683a73e190950e26ab9b4c51f038f840d65122b37a4

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

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

source=pdf_text observed=2026-05-13T06:54:49.169238Z digest=sha256:3d899568b9a26be04426cc4a1e321bc4870ab93d5bbea43453f1ed14d56edee4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T20:11:47.359922Z digest=sha256:49a8174090048c8a125b16f46a95df44fbb1052ce17e72cee00ad4d53d709f0d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T14:14:41.662856Z digest=sha256:d470e7935915e2b5b7b89518c2d8e74ebeac814fbb78722b00a3457216d68b43

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T07:04:24.854846Z digest=sha256:a50b81b65d74b74d529796d16e84d5ebb586500be4ca67a043a31ce2b977702f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T22:34:34.927202Z digest=sha256:056eec39852b652e60c6ed1fb15039176bad177a44e0fb72dafa49bcf6ac3bdc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T17:14:23.336848Z digest=sha256:326ab59ec80c8aaedb1b7ade8d55fedb397f1e7c67daaa63044a27ed730a6367

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-04T00:12:14.850098Z digest=sha256:25a2cd2b822c7d50a84cc52013dcc2ac85fed18a6f2e5cec31c4444719136ff6

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T01:15:55.971386Z digest=sha256:08bd24962e76e136e55977c75cb8b0165fcbea0ed8521cf0bb90d2604dd79093

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=sha256:35f60677ed4c4fb202a59acb6b4eccff5a50396cb23162a5ab9260729d5dc3ed