Paper Citation Record · LEDGER

Style-Friendly SNR Sampler for Style-Driven Generation

As of 13 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 2 inbound Pith citation observations for arXiv:2411.14793.

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

pith.paper-citation-record.v1
2411.14793 v3

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:56:50.208254Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:33:40.393629Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T14:33:41.443346Z

Reference resolution

62 of 62 outbound references displayed

verified exact0
verified fuzzy19
unresolved43
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c8094b8c-30e7-4d62-935f-785f9061659c · outbound

This paper cites write newline.

Style-Friendly SNR Sampler for Style-Driven Generation write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.695387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc8b5036-5134-4ef1-afe8-aaad283a55d8 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

Style-Friendly SNR Sampler for Style-Driven Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.704791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d6b1ad3-4bf4-41c6-84e3-3c1c0e878a24 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Style-Friendly SNR Sampler for Style-Driven Generation Emerging properties in self-supervised vision transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.712152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dbcde7b-d658-49ce-9653-66f95d17b9dd · outbound

This paper cites Muse: Text-to-image generation via masked generative transformers.

Style-Friendly SNR Sampler for Style-Driven Generation Muse: Text-to-image generation via masked generative transformers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.709703Z

Source-reported events for the cited work

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Observation b72badac-3523-41ce-9aec-5e1919cda086 · outbound

This paper cites Perception prioritized training of diffusion models.

Style-Friendly SNR Sampler for Style-Driven Generation Perception prioritized training of diffusion models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.727607Z

Source-reported events for the cited work

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Observation 85124c46-27e4-4a4a-8283-bce4935e13e9 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Style-Friendly SNR Sampler for Style-Driven Generation Diffusion models beat gans on image synthesis

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.658466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 85694c70-9d7a-4fd8-a230-ac526a172156 · outbound

This paper cites Diffusion is spectral autoregression, 2024.

Style-Friendly SNR Sampler for Style-Driven Generation Diffusion is spectral autoregression, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.634034Z

Source-reported events for the cited work

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Observation 1fcec822-f6dd-44c4-9be0-114ef340495a · outbound

This paper cites Image quilting for texture synthesis and transfer.

Style-Friendly SNR Sampler for Style-Driven Generation Image quilting for texture synthesis and transfer

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.603846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 84c6bb36-be78-48c9-a8d1-2ec07ecac141 · outbound

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

Style-Friendly SNR Sampler for Style-Driven Generation Scaling rectified flow transformers for high-resolution image synthesis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.758436Z

Source-reported events for the cited work

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Observation 62176e89-7249-4a3c-a499-093248115370 · outbound

This paper cites Implicit Style-Content Separation using B-LoRA.

Style-Friendly SNR Sampler for Style-Driven Generation Implicit Style-Content Separation using B-LoRA

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.766861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06c38337-4553-4880-94e0-248d9ae64ce0 · outbound

This paper cites Image style transfer using convolutional neural networks.

Style-Friendly SNR Sampler for Style-Driven Generation Image style transfer using convolutional neural networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.773637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bddefb8d-7116-4652-bb29-bf49edd7051a · outbound

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

Style-Friendly SNR Sampler for Style-Driven Generation Geneval: An object-focused framework for evaluating text-to-image alignment

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.779576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e978185f-de6c-4771-8704-2e81d2036772 · outbound

This paper cites Diffusion with offset noise.

Style-Friendly SNR Sampler for Style-Driven Generation Diffusion with offset noise

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.525838Z

Source-reported events for the cited work

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Observation 7aa0c3cc-21ac-4a39-9ab8-e3dfbd65f486 · outbound

This paper cites Imagine yourself: Tuning-Free Personalized Image Generation.

Style-Friendly SNR Sampler for Style-Driven Generation Imagine yourself: Tuning-Free Personalized Image Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.791521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba8200c1-12df-4552-8741-bce1e241a7bf · outbound

This paper cites Style aligned image generation via shared attention.

Style-Friendly SNR Sampler for Style-Driven Generation Style aligned image generation via shared attention

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaf95b02-57d2-4595-a3bb-d2aaabf547f7 · outbound

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

Style-Friendly SNR Sampler for Style-Driven Generation Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.812250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce6f3418-c44f-40c6-8531-6afc4cf3cfce · outbound

This paper cites Classifier-Free Diffusion Guidance.

Style-Friendly SNR Sampler for Style-Driven Generation Classifier-Free Diffusion Guidance

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.821476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dccb0f9-20cf-432a-a46a-35fd98ab917c · outbound

This paper cites Denoising diffusion probabilistic models.

Style-Friendly SNR Sampler for Style-Driven Generation Denoising diffusion probabilistic models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.828455Z

Source-reported events for the cited work

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Observation 88f3369f-c749-46f6-b4e3-5c780a5f70d1 · outbound

This paper cites simple diffusion: End-to-end diffusion for high resolution images.

Style-Friendly SNR Sampler for Style-Driven Generation simple diffusion: End-to-end diffusion for high resolution images

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.440262Z

Source-reported events for the cited work

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Observation 05ac8656-f9e7-40cb-a19c-30b733d5872b · outbound

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

Style-Friendly SNR Sampler for Style-Driven Generation Lora: Low-rank adaptation of large language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.844018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fa2325c-8ed9-44f4-a4fb-a741e0bef4c7 · outbound

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

Style-Friendly SNR Sampler for Style-Driven Generation Instruct-imagen: Image generation with multi-modal instruction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.380624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eae8ec8f-66c6-4616-903e-813c7cd0dea1 · outbound

This paper cites T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation.

Style-Friendly SNR Sampler for Style-Driven Generation T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.861753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 068d46c1-57c8-4928-92ab-edc968ab2265 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Style-Friendly SNR Sampler for Style-Driven Generation Elucidating the design space of diffusion-based generative models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.873659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ec7d821-69f4-4e69-9e90-4009146105be · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

Style-Friendly SNR Sampler for Style-Driven Generation Analyzing and improving the training dynamics of diffusion models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.330914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ba4d61a4-b429-4a4c-bcde-e8dde769f135 · outbound

This paper cites Understanding diffusion objectives as the elbo with simple data augmentation.

Style-Friendly SNR Sampler for Style-Driven Generation Understanding diffusion objectives as the elbo with simple data augmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.890702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6692a4b3-3baf-42ca-9d17-b058f026c3c6 · outbound

This paper cites Variational diffusion models.

Style-Friendly SNR Sampler for Style-Driven Generation Variational diffusion models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.902561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 287f03ff-38b2-47d3-8041-01958f997b1a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Style-Friendly SNR Sampler for Style-Driven Generation Adam: A Method for Stochastic Optimization

Reference 27

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Source-reported events for the cited work

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Observation cdd74438-a44d-4007-a0c6-e0a0851305e3 · outbound

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

Style-Friendly SNR Sampler for Style-Driven Generation Multi-concept customization of text-to-image diffusion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.266057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 87b52b8b-b5de-423c-892b-a391c95ff859 · outbound

This paper cites The role of imagenet classes in fr \'e chet inception distance.

Style-Friendly SNR Sampler for Style-Driven Generation The role of imagenet classes in fr \'e chet inception distance

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.237116Z

Source-reported events for the cited work

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Observation acbe32d2-10b3-49a1-880c-882438c5d651 · outbound

This paper cites Flux.1-dev.

Style-Friendly SNR Sampler for Style-Driven Generation Flux.1-dev

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.208234Z

Source-reported events for the cited work

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Observation 73bb038b-e6f8-4132-88ae-582027d37d57 · outbound

This paper cites Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion Models.

Style-Friendly SNR Sampler for Style-Driven Generation Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:49.955823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d18b32a2-9297-47e2-9e36-9725a596ecbd · outbound

This paper cites Universal style transfer via feature transforms.

Style-Friendly SNR Sampler for Style-Driven Generation Universal style transfer via feature transforms

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.176248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9fea996f-0d6a-44df-9f61-1444f60d9fdb · outbound

This paper cites Flow matching for generative modeling.

Style-Friendly SNR Sampler for Style-Driven Generation Flow matching for generative modeling

Reference 33

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Source-reported events for the cited work

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Observation 8ddc6117-4b4a-4f96-b935-bb0c5dcceeae · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Style-Friendly SNR Sampler for Style-Driven Generation Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 34

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Observation 16368250-18d5-44fd-8af8-9b31493e4ab0 · outbound

This paper cites On distillation of guided diffusion models.

Style-Friendly SNR Sampler for Style-Driven Generation On distillation of guided diffusion models

Reference 35

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Observation e9c055d4-7805-4897-92a3-a5d65db73980 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Style-Friendly SNR Sampler for Style-Driven Generation Improved denoising diffusion probabilistic models

Reference 36

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Source-reported events for the cited work

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Observation ec254519-9752-433b-9619-4f1c1ff2a331 · outbound

This paper cites Scalable diffusion models with transformers.

Style-Friendly SNR Sampler for Style-Driven Generation Scalable diffusion models with transformers

Reference 37

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Observation 5ce94c9d-2e80-4a96-abe4-834dae9f65b6 · outbound

This paper cites Richter, Christopher J.

Style-Friendly SNR Sampler for Style-Driven Generation Richter, Christopher J

Reference 38

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Observation 75805c38-31d2-4144-ade8-91ab5ad84feb · outbound

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

Style-Friendly SNR Sampler for Style-Driven Generation Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 39

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Source-reported events for the cited work

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Observation 2b326c0d-8c75-4ffd-894b-93c467515203 · outbound

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

Style-Friendly SNR Sampler for Style-Driven Generation Learning transferable visual models from natural language supervision

Reference 40

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Observation a6d0880f-a7ca-4923-b269-43330989ca55 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Style-Friendly SNR Sampler for Style-Driven Generation Direct preference optimization: Your language model is secretly a reward model

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.044857Z

Source-reported events for the cited work

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Observation bf086694-c94f-46ae-bd8b-c30f75ce7311 · outbound

This paper cites Generative modelling with inverse heat dissipation.

Style-Friendly SNR Sampler for Style-Driven Generation Generative modelling with inverse heat dissipation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.965001Z

Source-reported events for the cited work

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Observation 3b604946-68cf-4d7a-8576-dafb0bc131dc · outbound

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

Style-Friendly SNR Sampler for Style-Driven Generation High-resolution image synthesis with latent diffusion models

Reference 43

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Observation f28fed73-73ef-457c-bc8a-a7ca330129ea · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Style-Friendly SNR Sampler for Style-Driven Generation U-net: Convolutional networks for biomedical image segmentation

Reference 44

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Observation 662016c4-c632-49c1-91d8-c823ba91c6ae · outbound

This paper cites RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control.

Style-Friendly SNR Sampler for Style-Driven Generation RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control

Reference 45

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Source-reported events for the cited work

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Observation 2981db26-221b-4a91-a4f8-2c6372dc0d03 · outbound

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

Style-Friendly SNR Sampler for Style-Driven Generation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.079566Z

Source-reported events for the cited work

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Observation a460e0b7-0a7c-4930-8585-413d60865bc8 · outbound

This paper cites Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models.

Style-Friendly SNR Sampler for Style-Driven Generation Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.879570Z

Source-reported events for the cited work

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Observation ff0efed5-53f9-4974-920d-1fd7bd8dda7b · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Style-Friendly SNR Sampler for Style-Driven Generation Photorealistic text-to-image diffusion models with deep language understanding

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.097300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 817f33fb-cec7-4faf-8df4-935eb12a38df · outbound

This paper cites Adversarial diffusion distillation.

Style-Friendly SNR Sampler for Style-Driven Generation Adversarial diffusion distillation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.815670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aca93530-ccad-4286-a514-9866c9f5aea5 · outbound

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

Style-Friendly SNR Sampler for Style-Driven Generation Ziplora: Any subject in any style by effectively merging loras

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.787368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 438dc9c0-10eb-4a5a-ae83-1344061d3b6f · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Style-Friendly SNR Sampler for Style-Driven Generation Deep unsupervised learning using nonequilibrium thermodynamics

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.117078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ff160b3-48d2-4c8f-b302-11b93dc5c011 · outbound

This paper cites Styledrop: Text-to-image synthesis of any style.

Style-Friendly SNR Sampler for Style-Driven Generation Styledrop: Text-to-image synthesis of any style

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.123259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d375aac8-90a1-49d4-9b72-dc94551a0abe · outbound

This paper cites Measuring Style Similarity in Diffusion Models.

Style-Friendly SNR Sampler for Style-Driven Generation Measuring Style Similarity in Diffusion Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.130644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43c2e932-1c4b-4b15-88dc-71b07985db3a · outbound

This paper cites Denoising diffusion implicit models.

Style-Friendly SNR Sampler for Style-Driven Generation Denoising diffusion implicit models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.139622Z

Source-reported events for the cited work

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Observation 57c5185f-949d-43c7-a2ef-f1b3cfc3a195 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Style-Friendly SNR Sampler for Style-Driven Generation Generative modeling by estimating gradients of the data distribution

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.146209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bfdc17f-8370-480e-a867-33aa7f2b8037 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Style-Friendly SNR Sampler for Style-Driven Generation Score-based generative modeling through stochastic differential equations

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.155265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dea771b-54e7-4372-a599-38f3fd72bfc8 · outbound

This paper cites Consistency models.

Style-Friendly SNR Sampler for Style-Driven Generation Consistency models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.674154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c474b48f-b9d3-4dbb-a579-2aa86b3dee19 · outbound

This paper cites stable-diffusion-3.5-large.

Style-Friendly SNR Sampler for Style-Driven Generation stable-diffusion-3.5-large

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.643621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4acf4e83-9e45-4d06-a3c8-bd5dc75da800 · outbound

This paper cites Diffusers: State-of-the-art diffusion models.

Style-Friendly SNR Sampler for Style-Driven Generation Diffusers: State-of-the-art diffusion models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.183299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad09b6ff-48b9-4696-87d2-70ee376e10aa · outbound

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

Style-Friendly SNR Sampler for Style-Driven Generation InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.193255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04b60230-53c8-486b-a71c-9b90752550d8 · outbound

This paper cites flux-ip-adapter.

Style-Friendly SNR Sampler for Style-Driven Generation flux-ip-adapter

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.597078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fa0accfe-488e-4db8-b7b3-9f517dbc9e4e · outbound

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

Style-Friendly SNR Sampler for Style-Driven Generation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.208254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 796343b2-462c-42fc-8715-339ea71702a1 · inbound

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

OminiControl: Minimal and Universal Control for Diffusion Transformer Style-Friendly SNR Sampler for Style-Driven Generation

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:33:41.450205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 38d5fe88-564a-4521-89af-102c0489a1bb · inbound

AnyStyle: A Single LoRA is Sufficient for Image-Guided Style Transfer cites this paper.

AnyStyle: A Single LoRA is Sufficient for Image-Guided Style Transfer Style-Friendly SNR Sampler for Style-Driven Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T15:20:36.988419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.