Paper Citation Record · LEDGER

Diffuse and Disperse: Image Generation with Representation Regularization

As of 11 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 25 inbound Pith citation observations for arXiv:2506.09027.

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

pith.paper-citation-record.v1
2506.09027 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:01:35.726495Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T01:07:08.944750Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

45 of 45 outbound references displayed

verified exact0
verified fuzzy33
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 7b281b15-3103-432e-ab98-613fbf8f6ac3 · outbound

This paper cites Building normalizing flows with stochastic interpolants.

Diffuse and Disperse: Image Generation with Representation Regularization Building normalizing flows with stochastic interpolants

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.632261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 10d7b124-c9d9-4bfd-951d-5d7d6ebce7c9 · outbound

This paper cites Beit: Bert pre-training of image transformers.

Diffuse and Disperse: Image Generation with Representation Regularization Beit: Bert pre-training of image transformers

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.616941Z

Source-reported events for the cited work

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Observation 09e76ddd-92b3-495e-a400-8f52cd42e1d4 · outbound

This paper cites Representation learning: A review and new perspectives.

Diffuse and Disperse: Image Generation with Representation Regularization Representation learning: A review and new perspectives

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.602225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d1635ee-40d6-4f16-9538-434873852657 · outbound

This paper cites SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models.

Diffuse and Disperse: Image Generation with Representation Regularization SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models

Reference 4

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Source-reported events for the cited work

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Observation 5dce163f-3e08-449d-ba2b-1a32fcd5bbe6 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Diffuse and Disperse: Image Generation with Representation Regularization A simple framework for contrastive learning of visual representations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:35.533634Z

Source-reported events for the cited work

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Observation 9d86801a-0a8d-4c9a-a788-8e5f9871a355 · outbound

This paper cites Exploring simple siamese representation learning.

Diffuse and Disperse: Image Generation with Representation Regularization Exploring simple siamese representation learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.576851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4d7d8a74-7c96-4175-8122-9064f4162fc7 · outbound

This paper cites Learning a similarity metric discriminatively, with application to face verification.

Diffuse and Disperse: Image Generation with Representation Regularization Learning a similarity metric discriminatively, with application to face verification

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.561105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d6ea7586-aee4-463a-84d6-7de8c24003de · outbound

This paper cites ImageNet: A large-scale hierarchical image database.

Diffuse and Disperse: Image Generation with Representation Regularization ImageNet: A large-scale hierarchical image database

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.545980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 106c2794-aa53-4f25-a9fe-9c29359445af · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Diffuse and Disperse: Image Generation with Representation Regularization Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.530925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 891a36ac-98a0-4a53-9e22-6d939814ecd5 · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021.

Diffuse and Disperse: Image Generation with Representation Regularization Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:35.557286Z

Source-reported events for the cited work

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Observation 1485fc9c-7f36-4626-b580-8353229331f1 · outbound

This paper cites One step diffusion via shortcut models.

Diffuse and Disperse: Image Generation with Representation Regularization One step diffusion via shortcut models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.502447Z

Source-reported events for the cited work

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Observation 6ae5c988-8a2c-4aa9-8ba5-0018f685a59d · outbound

This paper cites Mean Flows for One-step Generative Modeling.

Diffuse and Disperse: Image Generation with Representation Regularization Mean Flows for One-step Generative Modeling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:35.565587Z

Source-reported events for the cited work

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Observation c881a4e2-b8e1-4977-a25a-abbbdffcd3f2 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.Advances in neural information processing systems, 33:21271–21284,.

Diffuse and Disperse: Image Generation with Representation Regularization Bootstrap your own latent-a new approach to self-supervised learning.Advances in neural information processing systems, 33:21271–21284,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.486654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b3345cf-406a-4fcd-9492-e790aa0c8b7c · outbound

This paper cites Dimensionality reduction by learning an invariant mapping.

Diffuse and Disperse: Image Generation with Representation Regularization Dimensionality reduction by learning an invariant mapping

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.471483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation defd5eee-6095-4f2c-9253-0f083b5c2f1e · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

Diffuse and Disperse: Image Generation with Representation Regularization Momentum contrast for unsupervised visual representation learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.456073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 55b72194-c232-4d53-8c43-a0e58bfb40b6 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Diffuse and Disperse: Image Generation with Representation Regularization Masked autoencoders are scalable vision learners

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.440359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 41a2bb96-cfd4-48aa-bb4a-03af9a8dfd95 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Diffuse and Disperse: Image Generation with Representation Regularization Classifier-Free Diffusion Guidance

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:35.587575Z

Source-reported events for the cited work

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Observation 3b2d8694-fcbe-4404-9716-d65839589db5 · outbound

This paper cites Denoising diffusion probabilistic models.

Diffuse and Disperse: Image Generation with Representation Regularization Denoising diffusion probabilistic models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.424634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d72df26f-3fdf-473e-a867-32139009f2ab · outbound

This paper cites Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577, 2022.

Diffuse and Disperse: Image Generation with Representation Regularization Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577, 2022

Reference 19

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Source-reported events for the cited work

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Observation 8efd48a5-1f83-4ad6-9297-db8e09f8d3ac · outbound

This paper cites Supervised contrastive learning.Advances in neural information processing systems, 33:18661–18673, 2020.

Diffuse and Disperse: Image Generation with Representation Regularization Supervised contrastive learning.Advances in neural information processing systems, 33:18661–18673, 2020

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.400172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d79b42ed-76af-412a-88a8-781c25d9dd25 · outbound

This paper cites Learning multiple layers of features from tiny images.

Diffuse and Disperse: Image Generation with Representation Regularization Learning multiple layers of features from tiny images

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.385004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ee343a87-94e5-44ad-a324-81eb2c25da0e · outbound

This paper cites Aligning text to image in diffusion models is easier than you think.

Diffuse and Disperse: Image Generation with Representation Regularization Aligning text to image in diffusion models is easier than you think

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:35.610966Z

Source-reported events for the cited work

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Observation 666a6744-5eb0-4e05-a654-f68d7f5392f7 · outbound

This paper cites Flow matching for generative modeling.

Diffuse and Disperse: Image Generation with Representation Regularization Flow matching for generative modeling

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.369716Z

Source-reported events for the cited work

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Observation 9e7506b0-f5a1-4d99-bade-e9e46710b84a · outbound

This paper cites Flow Matching Guide and Code.

Diffuse and Disperse: Image Generation with Representation Regularization Flow Matching Guide and Code

Reference 24

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Source-reported events for the cited work

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Observation 0cc61cce-b6f9-4bcb-9d24-80a098d08e82 · outbound

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

Diffuse and Disperse: Image Generation with Representation Regularization Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.354013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fb6b5525-cc1e-45cc-92b2-b26f27813213 · outbound

This paper cites SiT: Exploring flow and diffusion-based generative models with scalable interpolant transformers.

Diffuse and Disperse: Image Generation with Representation Regularization SiT: Exploring flow and diffusion-based generative models with scalable interpolant transformers

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.338788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a7de6ca9-80a3-4e69-84bf-30d352ae5f55 · outbound

This paper cites Slip: Self-supervision meets language-image pre-training.

Diffuse and Disperse: Image Generation with Representation Regularization Slip: Self-supervision meets language-image pre-training

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.323715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1b844e6a-2d6c-4c74-936e-a0f124a7a68c · outbound

This paper cites Improved denoising diffusion probabilistic models.

Diffuse and Disperse: Image Generation with Representation Regularization Improved denoising diffusion probabilistic models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.309214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bdd3af55-ff10-4afa-a0f7-569ae4f0b659 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Diffuse and Disperse: Image Generation with Representation Regularization Representation Learning with Contrastive Predictive Coding

Reference 29

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Source-reported events for the cited work

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Observation 463ac46f-ad44-47e3-8224-74175c24857c · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Diffuse and Disperse: Image Generation with Representation Regularization DINOv2: Learning Robust Visual Features without Supervision

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:35.652983Z

Source-reported events for the cited work

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Observation 5b21a41a-7dc0-4e60-ac7c-f5e4cd1390d5 · outbound

This paper cites Scalable diffusion models with transformers.

Diffuse and Disperse: Image Generation with Representation Regularization Scalable diffusion models with transformers

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.294897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ad2f8b7d-3f15-4fe0-85fc-5231acbf8493 · outbound

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

Diffuse and Disperse: Image Generation with Representation Regularization Learning transferable visual models from natural language supervision

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.279848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7700ef8a-8bb1-4d82-81c5-85cba260e034 · outbound

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

Diffuse and Disperse: Image Generation with Representation Regularization High-resolution image synthesis with latent diffusion models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.264099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7ee69e44-07bc-47a5-82de-fb0a70d7a938 · outbound

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

Diffuse and Disperse: Image Generation with Representation Regularization U-net: Convolutional networks for biomedical image segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.245920Z

Source-reported events for the cited work

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Observation c91ba837-247f-4f69-88f1-180c2263bee9 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Diffuse and Disperse: Image Generation with Representation Regularization Deep unsupervised learning using nonequilibrium thermodynamics

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.228121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d4d56379-ce74-49ea-b818-0534085aebf1 · outbound

This paper cites Denoising diffusion implicit models.

Diffuse and Disperse: Image Generation with Representation Regularization Denoising diffusion implicit models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.212740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a36fa55a-2dcc-422b-980f-16f6e89ed687 · outbound

This paper cites Improved techniques for training consistency models.

Diffuse and Disperse: Image Generation with Representation Regularization Improved techniques for training consistency models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.197878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bf578aa6-a030-4625-a051-f0dc7ee7cfc3 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.Neural Information Processing Systems (NeurIPS), 2019.

Diffuse and Disperse: Image Generation with Representation Regularization Generative modeling by estimating gradients of the data distribution.Neural Information Processing Systems (NeurIPS), 2019

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.181179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 52f2188f-d4c0-4277-82d1-e52a34f54260 · outbound

This paper cites Understanding contrastive representation learning through alignment and unifor- mity on the hypersphere.

Diffuse and Disperse: Image Generation with Representation Regularization Understanding contrastive representation learning through alignment and unifor- mity on the hypersphere

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.160799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a8671103-bf16-41be-8ce6-e35805de0084 · outbound

This paper cites Unsupervised feature learning via non-parametric instance discrimination.

Diffuse and Disperse: Image Generation with Representation Regularization Unsupervised feature learning via non-parametric instance discrimination

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.143920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dbf478c0-acf2-42d6-a8c3-df26e37206f1 · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Diffuse and Disperse: Image Generation with Representation Regularization Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:35.707901Z

Source-reported events for the cited work

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Observation bc17553b-5899-4e22-8ddb-4fd4844bff8f · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction.

Diffuse and Disperse: Image Generation with Representation Regularization Barlow twins: Self-supervised learning via redundancy reduction

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.127731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ca2fb45e-320b-42b8-9038-96eeaf13d395 · outbound

This paper cites How mask matters: T owards theoretical understandings of masked autoencoders.

Diffuse and Disperse: Image Generation with Representation Regularization How mask matters: T owards theoretical understandings of masked autoencoders

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.110107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 328242b9-9fbe-4317-aacf-dd8122e37dfd · outbound

This paper cites Inductive Moment Matching.

Diffuse and Disperse: Image Generation with Representation Regularization Inductive Moment Matching

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:35.722060Z

Source-reported events for the cited work

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Observation 59c2fe6e-0c6f-45d4-a9cf-95c29aaf517f · outbound

This paper cites A Implementation SiT and DiT Experiments.W e faithfully follow the SiT/DiT codebase for ImageNet experiments.

Diffuse and Disperse: Image Generation with Representation Regularization A Implementation SiT and DiT Experiments.W e faithfully follow the SiT/DiT codebase for ImageNet experiments

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:36.091939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 2c21f850-8a82-478d-9044-85fec28bfd67 · inbound

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality cites this paper.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Diffuse and Disperse: Image Generation with Representation Regularization

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T18:51:29.240432Z

Source-reported events for the cited work

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Observation 7493339f-8ed5-4102-bacb-521f906fdb1a · inbound

Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model cites this paper.

Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model Diffuse and Disperse: Image Generation with Representation Regularization

Reference 41

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Observation 1859697a-a622-4a00-8e33-0d79b7b0c3bc · inbound

Cross-Architecture Distillation Made Simple with Redundancy Suppression cites this paper.

Cross-Architecture Distillation Made Simple with Redundancy Suppression Diffuse and Disperse: Image Generation with Representation Regularization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T12:25:02.661144Z

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Observation c20d72e5-c09b-4705-a893-4e01bfff6955 · inbound

Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic Music cites this paper.

Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic Music Diffuse and Disperse: Image Generation with Representation Regularization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T14:59:36.859865Z

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Observation d426f7c2-0e0a-4ff9-958f-28d190ccb1cf · inbound

Fitting Image Diffusion Models on Video Datasets cites this paper.

Fitting Image Diffusion Models on Video Datasets Diffuse and Disperse: Image Generation with Representation Regularization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T10:46:06.489257Z

Source-reported events for the cited work

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Observation 0a8703df-618b-46e1-b0e7-4774e77ea036 · inbound

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture cites this paper.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Diffuse and Disperse: Image Generation with Representation Regularization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T14:53:02.592588Z

Source-reported events for the cited work

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Observation cb89359c-c531-40ab-991b-8c4c9ca33d02 · inbound

Self-transcendence: Is External Feature Guidance Indispensable for Accelerating Diffusion Transformer Training? cites this paper.

Self-transcendence: Is External Feature Guidance Indispensable for Accelerating Diffusion Transformer Training? Diffuse and Disperse: Image Generation with Representation Regularization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T11:04:33.203726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 585fd562-8bea-44c5-aea8-dfeca6977945 · inbound

CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting cites this paper.

CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting Diffuse and Disperse: Image Generation with Representation Regularization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T05:00:56.038455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2abee25d-cf64-48f3-863f-365139ddcd20 · inbound

Premier: Personalized Preference Modulation with Learnable User Embedding in Text-to-Image Generation cites this paper.

Premier: Personalized Preference Modulation with Learnable User Embedding in Text-to-Image Generation Diffuse and Disperse: Image Generation with Representation Regularization

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:19:49.501655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d291a22-c69b-429f-84ae-2f92746f2b19 · inbound

MPDiT: Multi-Patch Global-to-Local Transformer Architecture For Efficient Flow Matching and Diffusion Model cites this paper.

MPDiT: Multi-Patch Global-to-Local Transformer Architecture For Efficient Flow Matching and Diffusion Model Diffuse and Disperse: Image Generation with Representation Regularization

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:48:19.195645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eec4c64d-11da-45fe-b1f0-58f669f6aebf · inbound

Genuine pair density wave order on the kagome lattice cites this paper.

Genuine pair density wave order on the kagome lattice Diffuse and Disperse: Image Generation with Representation Regularization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-13T13:17:06.175932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72d1ef9d-e2ec-49d0-ae1c-cbebeb5b07d1 · inbound

Continuous Adversarial Flow Models cites this paper.

Continuous Adversarial Flow Models Diffuse and Disperse: Image Generation with Representation Regularization

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:31:05.059871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation aedfb48d-3b7c-47a9-a724-bcbb497fa369 · inbound

Stage-adaptive audio diffusion modeling cites this paper.

Stage-adaptive audio diffusion modeling Diffuse and Disperse: Image Generation with Representation Regularization

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:41:06.324337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6725a733-b297-4118-880d-f79918505bc5 · inbound

Med-DisSeg: Dispersion-Driven Representation Learning for Fine-Grained Medical Image Segmentation cites this paper.

Med-DisSeg: Dispersion-Driven Representation Learning for Fine-Grained Medical Image Segmentation Diffuse and Disperse: Image Generation with Representation Regularization

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:49:38.238574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 46c942e5-f23e-49b1-be46-32748d8e1d2a · inbound

Improved Baselines with Representation Autoencoders cites this paper.

Improved Baselines with Representation Autoencoders Diffuse and Disperse: Image Generation with Representation Regularization

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:43:15.223737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d6190089-55e1-4b99-b3e0-eeefaeb10cac · inbound

Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation cites this paper.

Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation Diffuse and Disperse: Image Generation with Representation Regularization

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:02:34.285651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9a024fa4-2641-40bf-a138-1da3af945bbd · inbound

STREAM: Stochastic Riemannian Flow Matching with Anisotropic Decoder for Digital Histopathology Image Generation cites this paper.

STREAM: Stochastic Riemannian Flow Matching with Anisotropic Decoder for Digital Histopathology Image Generation Diffuse and Disperse: Image Generation with Representation Regularization

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:27:09.481366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4c8ce968-f749-46bc-aa09-be72b2c7505e · inbound

Native3D: End-to-End 3D Scene Generation via Unified Mesh-Texture Modeling and Semantic Alignment cites this paper.

Native3D: End-to-End 3D Scene Generation via Unified Mesh-Texture Modeling and Semantic Alignment Diffuse and Disperse: Image Generation with Representation Regularization

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:57:09.648914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3b72dec7-adb1-453a-b3e0-0b97ee431cd2 · inbound

Continuous Language Diffusion as a Decoder-Interface Problem cites this paper.

Continuous Language Diffusion as a Decoder-Interface Problem Diffuse and Disperse: Image Generation with Representation Regularization

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-06-27T18:31:07.766045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b42957e-1fd5-4df7-97e6-d5e88d005e55 · inbound

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers Diffuse and Disperse: Image Generation with Representation Regularization

Reference 162

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:38:28.894279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1e28c814-7b40-4bec-b95a-bb1743d0bf4d · inbound

DiffusionBench: On Holistic Evaluation of Diffusion Transformers cites this paper.

DiffusionBench: On Holistic Evaluation of Diffusion Transformers Diffuse and Disperse: Image Generation with Representation Regularization

Reference 121

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:59:57.908247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8b05852d-331c-4527-afec-6acb49386240 · inbound

Don't Settle at the Mode! Mitigating Diversity Collapse in Pretrained Flow Models via Feature Self-Guidance cites this paper.

Don't Settle at the Mode! Mitigating Diversity Collapse in Pretrained Flow Models via Feature Self-Guidance Diffuse and Disperse: Image Generation with Representation Regularization

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:29:52.107424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6743bc7c-44a3-49cc-aac1-599fcd5478eb · inbound

Mitigating Compounding Error via Video Representation Regularization cites this paper.

Mitigating Compounding Error via Video Representation Regularization Diffuse and Disperse: Image Generation with Representation Regularization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-30T13:09:35.929865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45b692cd-33b1-4d0d-98be-f08196d48585 · inbound

SPARE: Structural Parameter-Free Affinity Regularization for Flow Matching cites this paper.

SPARE: Structural Parameter-Free Affinity Regularization for Flow Matching Diffuse and Disperse: Image Generation with Representation Regularization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T17:12:35.403131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c3606d6-35e8-43c3-8c95-8fe4987939d9 · inbound

DiverseDiT++: Quantifying, Analyzing, and Promoting Representation Diversity in Diffusion Transformers cites this paper.

DiverseDiT++: Quantifying, Analyzing, and Promoting Representation Diversity in Diffusion Transformers Diffuse and Disperse: Image Generation with Representation Regularization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T01:07:08.944750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.