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Paper Citation Record · LEDGER

Guiding a diffusion model using sliding windows

As of 17 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 2 inbound Pith citation observations for arXiv:2411.10257.

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

pith.paper-citation-record.v1
2411.10257 v3

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:51:59.299631Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:50:56.774068Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T10:54:07.851605Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved30
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 115317fe-a0a2-42ee-a32e-170275c68e00 · outbound

This paper cites Rethinking cluster-conditioned diffusion models for label-free image synthesis.

Guiding a diffusion model using sliding windows Rethinking cluster-conditioned diffusion models for label-free image synthesis

Reference 1

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Observation 7d0d52bc-ab51-4226-948f-c6d15ee90712 · outbound

This paper cites Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance.

Guiding a diffusion model using sliding windows Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance

Reference 2

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Observation c0af6efe-af4b-401f-bda5-6ebcaeebe2c3 · outbound

This paper cites A com- prehensive survey on diffusion models and their applications.

Guiding a diffusion model using sliding windows A com- prehensive survey on diffusion models and their applications

Reference 3

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Observation 58bcf62a-993c-4620-80b1-7d113f91e3bb · outbound

This paper cites Self-Improving Diffusion Models with Synthetic Data.

Guiding a diffusion model using sliding windows Self-Improving Diffusion Models with Synthetic Data

Reference 4

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Observation 93e3975b-3e4a-4c19-b477-6b9689c0d769 · outbound

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

Guiding a diffusion model using sliding windows eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 5

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Observation 1986104d-c4af-4c7e-8168-83c3f37fba6c · outbound

This paper cites Multidiffusion: Fusing dif- fusion paths for controlled image generation.

Guiding a diffusion model using sliding windows Multidiffusion: Fusing dif- fusion paths for controlled image generation

Reference 6

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Source-reported events for the cited work

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Observation 55c55b0a-e050-4061-87c1-ded1a2bd6651 · outbound

This paper cites Classifier-Free Guidance is a Predictor-Corrector.

Guiding a diffusion model using sliding windows Classifier-Free Guidance is a Predictor-Corrector

Reference 7

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Observation 9d0f1f67-b2e7-4b3e-a3b3-1b706c50cb92 · outbound

This paper cites MONAI: An open-source framework for deep learning in healthcare.

Guiding a diffusion model using sliding windows MONAI: An open-source framework for deep learning in healthcare

Reference 8

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Observation 8bdd6b3c-086a-43e0-8740-c59aad27a326 · outbound

This paper cites Effectively Unbiased FID and Inception Score and where to find them.

Guiding a diffusion model using sliding windows Effectively Unbiased FID and Inception Score and where to find them

Reference 9

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Observation 63fee385-060b-4363-9846-1384657852a1 · outbound

This paper cites CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.

Guiding a diffusion model using sliding windows CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

Reference 10

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Observation 710f453c-f9af-4e04-a1f8-9939ac78c8bc · outbound

This paper cites Diffusion models beat gans on image synthe- sis.

Guiding a diffusion model using sliding windows Diffusion models beat gans on image synthe- sis

Reference 11

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Observation 7fc137c7-2118-403e-ab87-2f67e0211af8 · outbound

This paper cites Generative modelling in latent space, 2025.

Guiding a diffusion model using sliding windows Generative modelling in latent space, 2025

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 88c7ec2c-c9d8-4452-a188-af2559abf26c · outbound

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

Guiding a diffusion model using sliding windows Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 13

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Observation ec40c229-3bec-4add-948f-9e4e434e2e4a · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium, 2018.

Guiding a diffusion model using sliding windows Gans trained by a two time-scale update rule converge to a local nash equilibrium, 2018

Reference 14

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Observation 0315f10a-76a3-4dcb-8a56-f99ce4f3fb0f · outbound

This paper cites Classifier-Free Diffusion Guidance.

Guiding a diffusion model using sliding windows Classifier-Free Diffusion Guidance

Reference 15

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Observation 5897f0ce-df2b-4ab4-bc9d-edb82ec0324b · outbound

This paper cites Denoising diffusion probabilistic models, 2020.

Guiding a diffusion model using sliding windows Denoising diffusion probabilistic models, 2020

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 786a22ee-9cf5-44c5-9197-f02f146c811f · outbound

This paper cites Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention.

Guiding a diffusion model using sliding windows Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention

Reference 17

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Observation 7c163fd7-8d5c-4973-be03-78152fc82827 · outbound

This paper cites Improving sam- ple quality of diffusion models using self-attention guidance.

Guiding a diffusion model using sliding windows Improving sam- ple quality of diffusion models using self-attention guidance

Reference 18

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Source-reported events for the cited work

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Observation 63f931b7-65a6-4984-ad5f-3395d4e42279 · outbound

This paper cites Rethinking fid: Towards a better evaluation metric for image generation.

Guiding a diffusion model using sliding windows Rethinking fid: Towards a better evaluation metric for image generation

Reference 19

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Observation 13cf8a8a-8c6e-477c-b39f-4eee2dfc021c · outbound

This paper cites Mistral 7B.

Guiding a diffusion model using sliding windows Mistral 7B

Reference 20

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Observation cbd2e496-99aa-4ce4-98bb-f094fb92448f · outbound

This paper cites Scaling Laws for Neural Language Models.

Guiding a diffusion model using sliding windows Scaling Laws for Neural Language Models

Reference 21

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Observation c67470c6-ded9-4acf-896d-017122764236 · outbound

This paper cites Elucidating the design space of diffusion-based generative models, 2022.

Guiding a diffusion model using sliding windows Elucidating the design space of diffusion-based generative models, 2022

Reference 22

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Observation 336cb50d-a52d-4aaf-a84a-58f1e4d2a024 · outbound

This paper cites Guiding a Diffusion Model with a Bad Version of Itself.

Guiding a diffusion model using sliding windows Guiding a Diffusion Model with a Bad Version of Itself

Reference 23

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Observation e8d4e536-171f-4382-8af8-b0ad979e204b · outbound

This paper cites Analyzing and Improving the Training Dynamics of Diffusion Models.

Guiding a diffusion model using sliding windows Analyzing and Improving the Training Dynamics of Diffusion Models

Reference 24

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Observation 66f7736b-bbc5-4a37-8597-bdc748a554bb · outbound

This paper cites Kingma, Tim Salimans, Ben Poole, and Jonathan Ho.

Guiding a diffusion model using sliding windows Kingma, Tim Salimans, Ben Poole, and Jonathan Ho

Reference 25

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Observation dcd4fb3c-42a0-40cb-a11d-d6321688b666 · outbound

This paper cites EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.

Guiding a diffusion model using sliding windows EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 26

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Observation 08d7dbb2-8c73-4dd9-9c89-853968cd126b · outbound

This paper cites The role of imagenet classes in fréchet inception distance, 2023.

Guiding a diffusion model using sliding windows The role of imagenet classes in fréchet inception distance, 2023

Reference 27

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Observation 00f73e7d-ca79-43a3-b9e6-344753e7586c · outbound

This paper cites Applying guidance in a limited interval improves sample and distribu- tion quality in diffusion models, 2024.

Guiding a diffusion model using sliding windows Applying guidance in a limited interval improves sample and distribu- tion quality in diffusion models, 2024

Reference 28

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Observation a07ba62e-52aa-4b64-902e-7779c746e2f4 · outbound

This paper cites Compo- sitional visual generation with composable diffusion models.

Guiding a diffusion model using sliding windows Compo- sitional visual generation with composable diffusion models

Reference 29

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Observation 6de642f3-82b4-4500-bbc7-2a0c5d679d46 · outbound

This paper cites On self-supervised image representations for gan evaluation.

Guiding a diffusion model using sliding windows On self-supervised image representations for gan evaluation

Reference 30

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Observation 663b9a82-ede3-46e0-bd4f-c4714fd1734d · outbound

This paper cites Dreammatcher: Appearance matching self-attention for semantically- consistent text-to-image personalization.

Guiding a diffusion model using sliding windows Dreammatcher: Appearance matching self-attention for semantically- consistent text-to-image personalization

Reference 31

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Observation 270d976f-a0ab-42ce-ad22-15ee65431ccc · outbound

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Guiding a diffusion model using sliding windows Unresolved cited work

Reference 32

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Observation ed56f969-4169-4050-a37f-acfe939f7887 · outbound

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Guiding a diffusion model using sliding windows Unresolved cited work

Reference 33

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Observation 442b0514-3495-43a3-b0eb-5611fc792c78 · outbound

This paper cites On aliased resizing and surpris- ing subtleties in gan evaluation, 2022.

Guiding a diffusion model using sliding windows On aliased resizing and surpris- ing subtleties in gan evaluation, 2022

Reference 34

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Observation 37879333-abba-4bdd-a2d4-16c3720d9ebc · outbound

This paper cites Scalable diffusion models with transformers.

Guiding a diffusion model using sliding windows Scalable diffusion models with transformers

Reference 35

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Observation bcf49e08-938c-4424-b79f-04d1ed16a896 · outbound

This paper cites Contrast in complex images.

Guiding a diffusion model using sliding windows Contrast in complex images

Reference 36

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Source-reported events for the cited work

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Observation b56a7430-872c-4a26-8944-1b181c61a20e · outbound

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

Guiding a diffusion model using sliding windows High-resolution image synthesis with latent diffusion models

Reference 37

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Observation 3dfd26ee-b57b-4474-b246-e6793134c22b · outbound

This paper cites Rolling Diffusion Models.

Guiding a diffusion model using sliding windows Rolling Diffusion Models

Reference 38

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Unavailable: canonical work link unavailable.

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Observation 109128b9-bbf3-4647-b8a7-14b1b81dc432 · outbound

This paper cites Eliminating oversatu- ration and artifacts of high guidance scales in diffusion models.

Guiding a diffusion model using sliding windows Eliminating oversatu- ration and artifacts of high guidance scales in diffusion models

Reference 39

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Observation cf36d1fa-b795-4a84-9d50-ec04deeec0c5 · outbound

This paper cites an unresolved cited work.

Guiding a diffusion model using sliding windows Unresolved cited work

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 31e543cf-910d-4fb9-8623-3f83c63077e9 · outbound

This paper cites No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models.

Guiding a diffusion model using sliding windows No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 323d5c41-7107-418b-bc5d-7d8920d95bfa · outbound

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

Guiding a diffusion model using sliding windows Photorealistic text-to-image diffusion models with deep language under- standing

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b3044fb4-823d-4874-9e53-c6b1689ae878 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Guiding a diffusion model using sliding windows Progressive Distillation for Fast Sampling of Diffusion Models

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6a7e7c6a-74ed-40ba-84bd-f80105681ccc · outbound

This paper cites Learning Temporally Consistent Video Depth from Video Diffusion Priors.

Guiding a diffusion model using sliding windows Learning Temporally Consistent Video Depth from Video Diffusion Priors

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5f12f85-5fe6-41e4-b20f-0654024fd5db · outbound

This paper cites Weiss, Niru Maheswaranathan, and Surya Ganguli.

Guiding a diffusion model using sliding windows Weiss, Niru Maheswaranathan, and Surya Ganguli

Reference 45

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no resolver link, observed 2026-08-12T19:51:59.277718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f71056bf-9063-41ba-bb6f-ecc8a29fd46b · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Er- mon, and Ben Poole.

Guiding a diffusion model using sliding windows Kingma, Abhishek Kumar, Stefano Er- mon, and Ben Poole

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ef7f68ba-561c-4b58-afed-457971bca74d · outbound

This paper cites Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Leigh Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L.

Guiding a diffusion model using sliding windows Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Leigh Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 35721d19-a161-45f1-997d-f9f07bb9c996 · outbound

This paper cites Diffusion Models without Classifier-free Guidance.

Guiding a diffusion model using sliding windows Diffusion Models without Classifier-free Guidance

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 87785371-ce6b-4fa4-8457-ddf0c521b65f · outbound

This paper cites Statistical learning theory: Models, concepts, and results.

Guiding a diffusion model using sliding windows Statistical learning theory: Models, concepts, and results

Reference 49

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 637d59e3-0b75-49b5-84ce-71d0e094bdc2 · outbound

This paper cites Analysis of Classifier-Free Guidance Weight Schedulers.

Guiding a diffusion model using sliding windows Analysis of Classifier-Free Guidance Weight Schedulers

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation cdcb1845-0e54-4d12-9c09-3186912caf41 · inbound

Guiding Token-Sparse Diffusion Models cites this paper.

Guiding Token-Sparse Diffusion Models Guiding a diffusion model using sliding windows

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:50:56.774068Z digest=sha256:7cbe2cc266c713dbbf33c29768d4f91499d6c7571ff9551909c0d09c0847f512

Observation 987932e9-def3-4f96-abbf-620db84533bd · inbound

Diffusion Models Memorize in Training -- and Generalize in Inference cites this paper.

Diffusion Models Memorize in Training -- and Generalize in Inference Guiding a diffusion model using sliding windows

Reference 2

Resolution
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arxiv_id, observed 2026-05-21T10:54:07.852990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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