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Paper Citation Record · LEDGER

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis

As of 23 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2509.10441.

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

pith.paper-citation-record.v1
2509.10441 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:58:17.703460Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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  • unresolved29
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External citation measurements

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Outbound references

Observation 5ba6211e-24ef-4eac-9d6c-83561447151e · outbound

This paper cites Maskgit: Masked generative image transformer.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Maskgit: Masked generative image transformer

Reference 1

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Observation 14c4d4fb-1308-4c57-b9d0-0b87925dbfe2 · outbound

This paper cites Latentpaint: Image inpainting in latent space with diffusion models.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Latentpaint: Image inpainting in latent space with diffusion models

Reference 2

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Observation 48184063-4570-4868-91fc-c8e0e16413fc · outbound

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

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021

Reference 3

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Observation 9531c84e-b466-40eb-86b3-88ed2e4725a8 · outbound

This paper cites Image super-resolution using deep convolutional net- works.IEEE transactions on pattern analysis and machine intelligence, 38(2):295–307, 2015.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Image super-resolution using deep convolutional net- works.IEEE transactions on pattern analysis and machine intelligence, 38(2):295–307, 2015

Reference 4

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Observation 1e33d9b1-eaf5-4b27-a595-58cbf61a71cc · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.ICLR, 2021.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis An image is worth 16x16 words: Transformers for image recognition at scale.ICLR, 2021

Reference 5

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Observation 1d2a436d-8cde-474b-9931-8acb829bfdd1 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Taming transformers for high-resolution image synthesis

Reference 6

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Observation a92153a2-619a-4db7-817d-3dd4ef2986b9 · outbound

This paper cites MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer

Reference 7

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Observation 693ceb7f-441a-4af1-8f6d-1de3fff6c476 · outbound

This paper cites Scalecrafter: Tuning-free higher- resolution visual generation with diffusion models.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Scalecrafter: Tuning-free higher- resolution visual generation with diffusion models

Reference 8

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Observation 4e385955-b773-4060-b6f2-f99fd13b5060 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017

Reference 9

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Observation a504b1f3-6801-4c03-a9d8-faff91cf8824 · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 10

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Observation 6e4d63e4-885d-48fe-b39b-6ffe21eccf4d · outbound

This paper cites FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis

Reference 11

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Observation ab9bf9ad-973b-4036-9118-cb1b60b92a58 · outbound

This paper cites Image-to-image translation with conditional adver- sarial networks.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Image-to-image translation with conditional adver- sarial networks

Reference 12

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Observation 9ac274b8-9615-4104-b964-bcbedbf2d4fe · outbound

This paper cites Training- free diffusion model adaptation for variable-sized text-to- image synthesis.Advances in Neural Information Processing Systems, 36:70847–70860, 2023.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Training- free diffusion model adaptation for variable-sized text-to- image synthesis.Advances in Neural Information Processing Systems, 36:70847–70860, 2023

Reference 13

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Observation 6fe7417e-b63b-43b2-bc17-741517d73db5 · outbound

This paper cites Transformers in vision: A survey.ACM computing surveys (CSUR), 54(10s):1–41, 2022.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Transformers in vision: A survey.ACM computing surveys (CSUR), 54(10s):1–41, 2022

Reference 14

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Observation f46915e0-d49b-44af-a6c2-d285a93728fb · outbound

This paper cites Auto-encoding varia- tional bayes.In International Conference on Learning Rep- resentations, 2014.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Auto-encoding varia- tional bayes.In International Conference on Learning Rep- resentations, 2014

Reference 15

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 26f87a73-c690-463b-bd80-196942fca593 · outbound

This paper cites Improved precision and recall met- ric for assessing generative models.Advances in neural in- formation processing systems, 32, 2019.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Improved precision and recall met- ric for assessing generative models.Advances in neural in- formation processing systems, 32, 2019

Reference 16

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Observation 6a898c47-62f2-47ab-a863-914d41d3498b · outbound

This paper cites Swinir: Image restoration us- ing swin transformer.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Swinir: Image restoration us- ing swin transformer

Reference 17

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Observation 09d109c0-9cf1-490c-ad32-7d19c91b836f · outbound

This paper cites Decoupled Weight Decay Regularization.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Decoupled Weight Decay Regularization

Reference 18

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Observation c04f9479-02e0-4340-afe1-ce3e088d8b5a · outbound

This paper cites Fit: Flexible vision trans- former for diffusion model.ICML, 2024.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Fit: Flexible vision trans- former for diffusion model.ICML, 2024

Reference 19

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Observation 5e4af420-230e-4209-9499-cf78026c7092 · outbound

This paper cites SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Reference 20

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Observation 960ea0de-5563-4e97-9f30-074304f1fec1 · outbound

This paper cites Generating Images with Sparse Representations.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Generating Images with Sparse Representations

Reference 21

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Observation 630ad802-6078-44f9-9b82-a30368fec3fc · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 22

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Observation 05b8236b-4fdd-4927-9f37-3c218873e0fb · outbound

This paper cites Scalable diffusion models with transformers.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Scalable diffusion models with transformers

Reference 23

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Observation 7aba3328-c684-4224-8c9f-41b31f58c80d · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 24

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Observation 71e647d8-23a1-44e9-895d-8b09e2206d3e · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 25

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Observation 3d5404b6-4650-4348-b2c2-fae676581c40 · outbound

This paper cites Gener- ating diverse high-fidelity images with vq-vae-2.Advances in neural information processing systems, 32, 2019.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Gener- ating diverse high-fidelity images with vq-vae-2.Advances in neural information processing systems, 32, 2019

Reference 26

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Observation 169375f6-cd7e-4e14-8688-5b46371d8785 · outbound

This paper cites Ultrapixel: Advancing ultra-high-resolution image synthesis to new peaks.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Ultrapixel: Advancing ultra-high-resolution image synthesis to new peaks

Reference 27

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Observation 64ae6acd-50c3-4102-b0d8-0c6d37b576ba · outbound

This paper cites Stochastic backpropagation and approximate inference in deep generative models.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Stochastic backpropagation and approximate inference in deep generative models

Reference 28

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Observation 7ec9353f-22fe-4738-98b0-8628754cff11 · outbound

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

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis High-resolution image synthesis with latent diffusion models

Reference 29

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Observation eebd94ef-0024-4cb4-a620-d080f15c7d10 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 30

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Observation 5882a3a2-449a-41d7-a32e-1389df3ba9e1 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in Neural In- formation Processing Systems, 35:25278–25294, 2022.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in Neural In- formation Processing Systems, 35:25278–25294, 2022

Reference 31

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Observation d3d319b8-b580-453a-83d1-2bc7d3ea8b63 · outbound

This paper cites Implicit neural representa- tions with periodic activation functions.Advances in neural information processing systems, 33:7462–7473, 2020.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Implicit neural representa- tions with periodic activation functions.Advances in neural information processing systems, 33:7462–7473, 2020

Reference 32

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Observation 8ec2ff3c-e991-4ef9-b6f5-3645666c9a42 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Deep unsupervised learning using nonequilibrium thermodynamics

Reference 33

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Observation 82b2f72c-1618-4239-b4ad-527c1744b231 · outbound

This paper cites Denoising Diffusion Implicit Models.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Denoising Diffusion Implicit Models

Reference 34

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Observation 329a24ac-a710-4309-be0a-61637272d436 · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 35

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Observation e8e8521e-8ee1-42cb-b92b-efe0b35c6c39 · outbound

This paper cites Neural discrete representation learning.Advances in neural information pro- cessing systems, 30, 2017.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Neural discrete representation learning.Advances in neural information pro- cessing systems, 30, 2017

Reference 36

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Observation f772819a-4944-4b97-9a77-269920ddf0ba · outbound

This paper cites Real-esrgan: Training real-world blind super-resolution with pure synthetic data.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 37

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Observation ea181610-5f1c-45d1-8912-b40ee9430c2c · outbound

This paper cites Exploring Representation-Aligned Latent Space for Better Generation.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Exploring Representation-Aligned Latent Space for Better Generation

Reference 38

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Observation 20b04389-62bb-48ec-be45-0b3185ccc74e · outbound

This paper cites Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer

Reference 39

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Observation ae226691-9935-441d-886a-cd11c2220ca6 · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Vector-quantized Image Modeling with Improved VQGAN

Reference 40

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Observation 8f759fc5-0d2c-47cc-ae63-e0229a1b43ee · outbound

This paper cites Designing a practical degradation model for deep blind image super-resolution.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Designing a practical degradation model for deep blind image super-resolution

Reference 41

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Observation 453a5384-666a-4b91-aaec-a2ec4f9a3501 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Adding conditional control to text-to-image diffusion models

Reference 42

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Observation b410343b-41fe-4ab2-a901-f3accfbade10 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis The unreasonable effectiveness of deep features as a perceptual metric

Reference 43

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Observation 1afd32ed-570e-49d2-a8dc-b42b9f473b0e · outbound

This paper cites Fast training of diffusion models with masked transformers.

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Fast training of diffusion models with masked transformers

Reference 44

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verified fuzzy
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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.