Paper Citation Record · LEDGER

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis

As of 10 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 8 inbound Pith citation observations for arXiv:2507.18569.

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

pith.paper-citation-record.v1
2507.18569 v1

Coverage vector

measured 94 of 94 reference resolution

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measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:47:19.949897Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-07-04T07:49:38.697106Z

Reference resolution

94 of 94 outbound references displayed

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External citation measurements

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Outbound references

Observation 5a9e108d-ab7d-410b-8628-37df3db80448 · outbound

This paper cites Flux.1-dev.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Flux.1-dev

Reference 1

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Observation 6fa7fe87-8f90-4442-a9c8-1670dd5ecf56 · outbound

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

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 2

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Observation 855a6494-1637-4a08-b4f7-421ab2d5520c · outbound

This paper cites Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation

Reference 3

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Observation eeaa65da-d66c-4ea7-bc73-c3c027c3a05f · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Training Deep Nets with Sublinear Memory Cost

Reference 4

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Observation bf8e917c-534d-49ae-a133-fb37b2dde8b1 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis An image is worth 16x16 words: Transformers for image recognition at scale

Reference 5

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Observation 9d06fa33-3929-4706-a73b-46e2961575b0 · outbound

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

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 6

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Observation c75adbfc-adab-4021-b32d-5d4bbd5f6104 · outbound

This paper cites Consistency models made easy.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Consistency models made easy

Reference 7

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This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio

Reference 8

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This paper cites Deep residual learning for image recognition.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Deep residual learning for image recognition

Reference 9

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This paper cites Gaussian Error Linear Units (GELUs).

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Gaussian Error Linear Units (GELUs)

Reference 10

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This paper cites Classifier-free diffusion guidance.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Classifier-free diffusion guidance

Reference 11

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Observation f8d59f24-6bf2-4639-8fd9-c1db4b13557c · outbound

This paper cites Denoising diffu- sion probabilistic models.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Denoising diffu- sion probabilistic models

Reference 12

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This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 13

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This paper cites Vbench: Com- prehensive benchmark suite for video generative models.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Vbench: Com- prehensive benchmark suite for video generative models

Reference 14

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This paper cites DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Reference 15

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Observation 9fd09456-b7ef-4251-896b-ef3def34f634 · outbound

This paper cites Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions

Reference 16

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Observation a2189fc4-e73e-44f3-8399-2aac3c2a1c77 · outbound

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

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Elucidating the design space of diffusion-based generative models

Reference 17

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This paper cites Consistency trajectory mod- els: Learning probability flow ode trajectory of diffusion.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Consistency trajectory mod- els: Learning probability flow ode trajectory of diffusion

Reference 18

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This paper cites Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick

Reference 19

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This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 20

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This paper cites Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation

Reference 21

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Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Geometric GAN

Reference 22

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This paper cites SDXL-Lightning: Progressive Adversarial Diffusion Distillation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 23

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Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Diffusion adversarial post-training for one-step video generation

Reference 24

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This paper cites Lawrence Zitnick, and Piotr Doll ´ar.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Lawrence Zitnick, and Piotr Doll ´ar

Reference 25

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Observation ef92fd8d-0b8b-4e1d-b701-7662d3f9292e · outbound

This paper cites Flow Matching for Generative Modeling.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Flow Matching for Generative Modeling

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

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 27

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This paper cites Instaflow: One step is enough for high-quality diffusion-based text-to-image generation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Instaflow: One step is enough for high-quality diffusion-based text-to-image generation

Reference 28

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Observation 2853cf43-31c0-43a8-99eb-0d4e9354d4fa · outbound

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Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Decoupled weight decay regularization

Reference 29

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This paper cites Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models

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Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Ma, Xi- aohua Xie, and Jianhuang Lai

Reference 31

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Observation e8d01a4b-bef0-446d-aa48-7774e6d23825 · outbound

This paper cites Mlnet: Mutual learning network with neighbor- hood invariance for universal domain adaptation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Mlnet: Mutual learning network with neighbor- hood invariance for universal domain adaptation

Reference 32

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Observation f6f46098-e3b3-48e6-91a9-9680e1c78c5d · outbound

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Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Coarse-to-fine latent diffusion for pose- guided person image synthesis

Reference 33

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This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

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This paper cites LCM-LoRA: A Universal Stable-Diffusion Acceleration Module.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

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Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Diff-instruct++: Training one-step text-to- image generator model to align with human preferences

Reference 36

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Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Diff-instruct: A universal approach for transferring knowledge from pre-trained diffu- sion models

Reference 37

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Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Zico Kolter, and Guo-jun Qi

Reference 38

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This paper cites David and goliath: Small one-step model beats large diffusion with score post-training.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis David and goliath: Small one-step model beats large diffusion with score post-training

Reference 39

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This paper cites You only sample once: Taming one-step text-to- image synthesis by self-cooperative diffusion gans.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis You only sample once: Taming one-step text-to- image synthesis by self-cooperative diffusion gans

Reference 40

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Observation 029b0bd9-3b86-4a08-b9cc-c47eb47cd983 · outbound

This paper cites Ms-detr: Towards effective video moment retrieval and highlight detection by joint motion-semantic learning.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Ms-detr: Towards effective video moment retrieval and highlight detection by joint motion-semantic learning

Reference 41

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Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Fine-grained zero-shot ob- ject detection

Reference 42

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Observation 3a0b0ab8-42f6-4194-9319-70ef3afb6588 · outbound

This paper cites OSV: One Step is Enough for High-Quality Image to Video Generation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis OSV: One Step is Enough for High-Quality Image to Video Generation

Reference 43

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This paper cites Data synthesis with diverse styles for face recognition via 3dmm-guided diffusion.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Data synthesis with diverse styles for face recognition via 3dmm-guided diffusion

Reference 44

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Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Divergence measures and message passing

Reference 45

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Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Movie gen: A cast of media foun- dation models

Reference 46

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This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation

Reference 47

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Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Dinov2: Learning robust visual features with- out supervision

Reference 48

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This paper cites Scalable diffusion models with transformers.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Scalable diffusion models with transformers

Reference 49

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Observation c4b13946-f12b-4b51-a4e9-9d0dbcb9dc03 · outbound

This paper cites Open-sora-plan- v1.1.0.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Open-sora-plan- v1.1.0

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.654828Z

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Observation 4dfa3649-888d-4477-8541-93d5f2304f06 · outbound

This paper cites Dreamfusion: Text-to-3d using 2d diffusion.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Dreamfusion: Text-to-3d using 2d diffusion

Reference 51

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Observation 47739591-8620-4a70-b028-ea43c5246cd9 · outbound

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

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Learning transferable visual models from natural language supervision

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.613664Z

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

Observation b76b00f0-04a4-4e5c-8b70-faae0dbdd42d · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Zero: Memory optimizations toward training trillion parameter models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.594244Z

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.

Observation cd423ba8-da72-40dc-af3f-2b8ddb8c2ac9 · outbound

This paper cites Searching for Activation Functions.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Searching for Activation Functions

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:36.926899Z

Source-reported events for the cited work

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Observation c63ba09a-5b04-4a1d-81c3-21087b7a45a6 · outbound

This paper cites Hyper-sd: Trajectory segmented consistency model for efficient image synthesis.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Hyper-sd: Trajectory segmented consistency model for efficient image synthesis

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.571297Z

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Observation f6a8c0c4-24b0-426d-beae-2c28c6ac07a9 · outbound

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

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis High-resolution image syn- thesis with latent diffusion models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.548942Z

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Observation b646a084-a59d-495c-8b1a-2092ab891043 · outbound

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

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis U-net: Convolutional networks for biomedical image segmentation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.528193Z

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Observation 1203a81a-60c1-4bf2-b0f8-19895221c541 · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Progressive distillation for fast sampling of diffusion models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.508287Z

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Observation 4eb75965-f30d-4f9b-8ae6-89a5f0fd9ac1 · outbound

This paper cites Multistep distillation of diffusion models via moment matching.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Multistep distillation of diffusion models via moment matching

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.490503Z

Source-reported events for the cited work

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Observation 83f0a33c-5c46-4b04-a845-b1a0c77fb00d · outbound

This paper cites Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 60

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Observation 543e577a-4445-41fc-a97b-7e90c715ef59 · outbound

This paper cites Adversarial diffusion distillation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Adversarial diffusion distillation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.472527Z

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Observation c7d1d799-9e09-4ccb-89ff-e32d2b146658 · outbound

This paper cites an unresolved cited work.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:37:38.454244Z

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Observation b1e96067-1318-45e0-8ce2-23671f277cb3 · outbound

This paper cites Denois- ing diffusion implicit models.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Denois- ing diffusion implicit models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.430894Z

Source-reported events for the cited work

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Observation 1252bf1c-fae5-42c7-8874-554b7a7f468c · outbound

This paper cites Improved techniques for training consistency models.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Improved techniques for training consistency models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.409915Z

Source-reported events for the cited work

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Observation ba33d9c0-ec86-431b-8f2b-99cbe9881fec · outbound

This paper cites Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.389972Z

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.

Observation 29638a7f-4a94-4815-822f-8fa81053e777 · outbound

This paper cites Consistency models.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Consistency models

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.371843Z

Source-reported events for the cited work

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Observation e3a404aa-0e04-44f3-96d6-3b45ed56fd61 · outbound

This paper cites JourneyDB: A Benchmark for Generative Image Understanding.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis JourneyDB: A Benchmark for Generative Image Understanding

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:37.018164Z

Source-reported events for the cited work

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Observation 231b1c58-3bfc-4ea3-a9ad-0e6c70fdbaad · outbound

This paper cites Calibrated ad- versarial algorithms for generative modelling.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Calibrated ad- versarial algorithms for generative modelling

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.353451Z

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

Observation 35b4fc89-801f-44d0-8db0-b02469329eb1 · outbound

This paper cites Phased Consistency Models.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Phased Consistency Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:37.029821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 313a5c41-b583-4108-a149-85a6b8dfa61c · outbound

This paper cites Animatelcm: Computation-efficient personalized style video generation without personalized video data.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Animatelcm: Computation-efficient personalized style video generation without personalized video data

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.334821Z

Source-reported events for the cited work

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Observation 187c36f5-1960-4e1e-8d70-1d888f57d882 · outbound

This paper cites Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:37.041522Z

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Observation f71b7968-322e-4e0a-afff-059fd58dcabb · outbound

This paper cites Bfloat16: The se- cret to high performance on cloud tpus.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Bfloat16: The se- cret to high performance on cloud tpus

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.317635Z

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.

Observation 2f9fa724-78fc-46b1-85c4-59c9ec4fef23 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Emu3: Next-Token Prediction is All You Need

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:37.053075Z

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Observation c915d85b-33c1-44ba-a1b6-4427b517008f · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.301651Z

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.

Observation 0fbbc1aa-2c90-44e5-8065-2cbbd38607b1 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:37.064405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8273da44-8620-4f97-afe8-4e7618c7a180 · outbound

This paper cites Group normalization.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Group normalization

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.282317Z

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.

Observation 1f2a4306-b7d7-4958-be5e-4256dad920e2 · outbound

This paper cites Building fast and compact convolu- tional neural networks for offline handwritten chinese char- acter recognition.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Building fast and compact convolu- tional neural networks for offline handwritten chinese char- acter recognition

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.262068Z

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.

Observation bd2dbe0e-2006-4128-b8b4-a82754d89148 · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.240784Z

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.

Observation b7053c75-3650-4ba0-b63a-52200b825b2f · outbound

This paper cites Ufogen: You forward once large scale text-to-image genera- tion via diffusion gans.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Ufogen: You forward once large scale text-to-image genera- tion via diffusion gans

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.220416Z

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.

Observation 3f046f4c-3ba6-41ac-8e5a-d395c10c3363 · outbound

This paper cites Hunyuanportrait: Implicit condition con- trol for enhanced portrait animation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Hunyuanportrait: Implicit condition con- trol for enhanced portrait animation

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.203448Z

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.

Observation 8fd32894-5ed7-4c58-b461-b99b6ae25e62 · outbound

This paper cites Perflow: Piecewise rectified flow as universal plug-and-play accelerator.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Perflow: Piecewise rectified flow as universal plug-and-play accelerator

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.184820Z

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.

Observation aec39a04-ce61-4d56-92ae-d28ea6287923 · outbound

This paper cites Vript: A Video Is Worth Thousands of Words.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Vript: A Video Is Worth Thousands of Words

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:37.099558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dd41a2d-562b-4c44-92c9-123fe3a97a2f · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:37.104167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5aeb1d3-50c1-4af3-9893-71aa18abeb66 · outbound

This paper cites Magic 1-For-1: Generating One Minute Video Clips within One Minute.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Magic 1-For-1: Generating One Minute Video Clips within One Minute

Reference 84

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:37:37.424544Z

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.

Observation 89b63c49-1daf-41ab-95a1-1a8531c4d219 · outbound

This paper cites an unresolved cited work.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:37:38.168300Z

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.

Observation 0bbebc38-51df-49c0-b176-d8cab987454e · outbound

This paper cites Freeman, and Taesung Park.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Freeman, and Taesung Park

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.149502Z

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.

Observation eedda17f-6265-443e-bf01-c097ed8c2c3e · outbound

This paper cites From slow bidirectional to fast causal video generators.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis From slow bidirectional to fast causal video generators

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:37.122787Z

Source-reported events for the cited work

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Observation eb5ed033-10f0-4a5c-8676-aac2be0b5e22 · outbound

This paper cites Scaling autoregressive models for content-rich text-to-image generation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Scaling autoregressive models for content-rich text-to-image generation

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.130859Z

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.

Observation b806b85f-2026-444c-b129-8d133d660681 · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Efros, Eli Shecht- man, and Oliver Wang

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.111201Z

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.

Observation 30bd4c5a-1d1d-409d-b911-7438f3f3c1d1 · outbound

This paper cites Learning multi- dimensional human preference for text-to-image generation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Learning multi- dimensional human preference for text-to-image generation

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.090807Z

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.

Observation b8d44256-7b1e-4782-8923-ac0ab4268cd1 · outbound

This paper cites Sf-v: Single forward video generation model.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Sf-v: Single forward video generation model

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.069041Z

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.

Observation a0021317-c949-48de-a1d1-1ded6c3553cb · outbound

This paper cites Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:37.146031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44d35162-6c5f-41f2-a673-0be3885a510b · outbound

This paper cites Score identity distillation: Exponentially fast distillation of pretrained diffusion models for one-step generation.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Score identity distillation: Exponentially fast distillation of pretrained diffusion models for one-step generation

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.049520Z

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.

Observation c79d73d4-3d4a-4a4a-824b-d6c8da1e3ad4 · outbound

This paper cites =0.3A4: 𝜆!=1.0,𝜆.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis =0.3A4: 𝜆!=1.0,𝜆

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:38.031216Z

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.

Pith citing papers

Observation f18fa66f-51f2-4033-8e82-b73f3099bc05 · inbound

Seedream 4.0: Toward Next-generation Multimodal Image Generation cites this paper.

Seedream 4.0: Toward Next-generation Multimodal Image Generation Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis

Reference 13

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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.

Observation d7e78a72-bded-4fd0-81ee-87ab99d97577 · inbound

Distribution Matching Distillation Meets Reinforcement Learning cites this paper.

Distribution Matching Distillation Meets Reinforcement Learning Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T21:47:19.949897Z

Source-reported events for the cited work

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Observation 9068531f-ce0e-4c35-83e6-3d08920cb4fc · inbound

Cross-Resolution Distribution Matching for Diffusion Distillation cites this paper.

Cross-Resolution Distribution Matching for Diffusion Distillation Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-15T14:00:06.859472Z

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Observation 724fc897-ba82-4998-97ff-74d82c5744f0 · inbound

1.x-Distill: Breaking the Diversity, Quality, and Efficiency Barrier in Distribution Matching Distillation cites this paper.

1.x-Distill: Breaking the Diversity, Quality, and Efficiency Barrier in Distribution Matching Distillation Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:23:02.590008Z

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.

Observation 417646b7-9b4d-44a8-ad05-5070a4764959 · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:36:05.888195Z

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.

Observation 5a0851aa-9deb-46f1-ab04-d26e9cca28fa · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:19:13.677404Z

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.

Observation 52522a26-269a-4aed-b727-b0b3ef0ec55e · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:07.746273Z

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.

Observation ad443e33-36b5-4976-8be9-3e8a743241c6 · inbound

CoDMD: Copula-aware Distribution Matching Distillation for Fast Video Generation cites this paper.

CoDMD: Copula-aware Distribution Matching Distillation for Fast Video Generation Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis

Reference 16

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