Paper Citation Record · LEDGER

Diffusion Autoencoders are Scalable Image Tokenizers

As of 17 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 4 inbound Pith citation observations for arXiv:2501.18593.

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

pith.paper-citation-record.v1
2501.18593 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:56:36.235654Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:23:34.104214Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:28:29.656526Z

Reference resolution

68 of 68 outbound references displayed

verified exact0
verified fuzzy23
unresolved45
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a314c0d1-094e-452f-8124-db83151f0e06 · outbound

This paper cites write newline.

Diffusion Autoencoders are Scalable Image Tokenizers write newline

Reference 1

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Observation a73694ac-a45d-4ed8-bad6-f1116f4b25c3 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Diffusion Autoencoders are Scalable Image Tokenizers Building Normalizing Flows with Stochastic Interpolants

Reference 2

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Observation 51f69fb6-8201-49ca-b14c-d800777fd0f0 · outbound

This paper cites Layer Normalization.

Diffusion Autoencoders are Scalable Image Tokenizers Layer Normalization

Reference 3

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Observation 03e7c0c6-4f34-4b09-a876-78b1235abdeb · outbound

This paper cites BEiT : B ert pre-training of image transformers.

Diffusion Autoencoders are Scalable Image Tokenizers BEiT : B ert pre-training of image transformers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:56:37.243775Z

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Observation bd473836-3366-4c46-8d6c-e79173e98b25 · outbound

This paper cites Improving image generation with better captions.

Diffusion Autoencoders are Scalable Image Tokenizers Improving image generation with better captions

Reference 5

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Observation bd147583-64f2-48fd-a6b8-39dd7732d907 · outbound

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Diffusion Autoencoders are Scalable Image Tokenizers Unresolved cited work

Reference 6

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Observation c1d34611-a480-4551-93b1-1c27609859e9 · outbound

This paper cites W., Fidler, S., and Kreis, K.

Diffusion Autoencoders are Scalable Image Tokenizers W., Fidler, S., and Kreis, K

Reference 7

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Source-reported events for the cited work

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Observation 69b81172-35c2-46c2-8467-ea960fdc8e06 · outbound

This paper cites Pros and cons of gan evaluation measures.

Diffusion Autoencoders are Scalable Image Tokenizers Pros and cons of gan evaluation measures

Reference 8

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Source-reported events for the cited work

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Observation 73b084b9-e534-4c81-b9cc-2d5678e7cc4a · outbound

This paper cites Pros and cons of gan evaluation measures: New developments.

Diffusion Autoencoders are Scalable Image Tokenizers Pros and cons of gan evaluation measures: New developments

Reference 9

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Source-reported events for the cited work

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Observation 71b65e7b-ca2c-4f69-8a54-7bf4a4ea6b4b · outbound

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

Diffusion Autoencoders are Scalable Image Tokenizers Emerging properties in self-supervised vision transformers

Reference 10

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Observation 341bcac7-b61d-4fea-ad9d-d282be6da10f · outbound

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

Diffusion Autoencoders are Scalable Image Tokenizers A simple framework for contrastive learning of visual representations

Reference 11

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Observation 70758ad5-69f3-401b-be15-d993f4ab1a4e · outbound

This paper cites Image neural field diffusion models.

Diffusion Autoencoders are Scalable Image Tokenizers Image neural field diffusion models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:56:37.157002Z

Source-reported events for the cited work

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Observation 93ebca15-40e5-4583-960e-0959d235062c · outbound

This paper cites Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

Diffusion Autoencoders are Scalable Image Tokenizers Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Reference 13

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Observation 26aabed6-ca60-4b88-86fa-93cfb366d1c6 · outbound

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

Diffusion Autoencoders are Scalable Image Tokenizers Imagenet: A large-scale hierarchical image database

Reference 14

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Observation 91ac52c1-a11e-4e61-ac08-c63e585700a7 · outbound

This paper cites and Nichol, A.

Diffusion Autoencoders are Scalable Image Tokenizers and Nichol, A

Reference 15

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Observation f128788f-40b9-4c8d-a4a5-d29e1ab2d499 · outbound

This paper cites Adversarial feature learning.

Diffusion Autoencoders are Scalable Image Tokenizers Adversarial feature learning

Reference 16

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Observation 370e115a-019e-4d3f-8fc3-e45ee9ebc0f4 · outbound

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

Diffusion Autoencoders are Scalable Image Tokenizers Taming transformers for high-resolution image synthesis

Reference 17

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Observation 1c0bdc77-daf9-4d5d-a6c7-979593719cff · outbound

This paper cites Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning.

Diffusion Autoencoders are Scalable Image Tokenizers Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

Reference 18

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Observation 60393605-e100-44fd-82fc-88ef34a2d397 · outbound

This paper cites Generative adversarial networks.

Diffusion Autoencoders are Scalable Image Tokenizers Generative adversarial networks

Reference 19

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Observation 57a91fb8-b825-45af-979c-7a08be27d20b · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

Diffusion Autoencoders are Scalable Image Tokenizers Bootstrap your own latent-a new approach to self-supervised learning

Reference 20

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Observation 6b6c396b-90e0-4839-ad37-5e9f083842f5 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

Diffusion Autoencoders are Scalable Image Tokenizers Momentum contrast for unsupervised visual representation learning

Reference 21

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Observation 5cadd866-2cfd-4cc9-8a48-669e560d9eba · outbound

This paper cites Masked autoencoders are scalable vision learners.

Diffusion Autoencoders are Scalable Image Tokenizers Masked autoencoders are scalable vision learners

Reference 22

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Observation cfb26366-2b0d-4e56-aeeb-78e701513d0a · outbound

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

Diffusion Autoencoders are Scalable Image Tokenizers Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 23

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Observation 7f379b02-b4c0-42a2-9f67-3799725df880 · outbound

This paper cites Denoising diffusion probabilistic models.

Diffusion Autoencoders are Scalable Image Tokenizers Denoising diffusion probabilistic models

Reference 24

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Observation fcabb41b-00ba-4d56-979b-0f2336277437 · outbound

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

Diffusion Autoencoders are Scalable Image Tokenizers Rethinking fid: Towards a better evaluation metric for image generation

Reference 25

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Observation 98eb0240-34ff-428d-b74a-af0e0e576fba · outbound

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

Diffusion Autoencoders are Scalable Image Tokenizers Elucidating the design space of diffusion-based generative models

Reference 26

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Observation 9a828c66-830d-438f-9587-2eb859bf1bca · outbound

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

Diffusion Autoencoders are Scalable Image Tokenizers Analyzing and improving the training dynamics of diffusion models

Reference 27

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Observation b0d71f46-18ed-42dd-90a2-8424da663027 · outbound

This paper cites and Gao, R.

Diffusion Autoencoders are Scalable Image Tokenizers and Gao, R

Reference 28

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Observation 304f53c2-6517-486d-a8bc-e604d777c048 · outbound

This paper cites Photo-realistic single image super-resolution using a generative adversarial network.

Diffusion Autoencoders are Scalable Image Tokenizers Photo-realistic single image super-resolution using a generative adversarial network

Reference 29

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Observation d9a31b7c-f6bf-419a-a06b-de303ddf1f8d · outbound

This paper cites Autoregressive Image Generation without Vector Quantization.

Diffusion Autoencoders are Scalable Image Tokenizers Autoregressive Image Generation without Vector Quantization

Reference 30

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Diffusion Autoencoders are Scalable Image Tokenizers Unresolved cited work

Reference 31

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Observation ef854193-a3a1-4fed-8259-0025f5615595 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Diffusion Autoencoders are Scalable Image Tokenizers Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 32

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Observation 6461efa8-c9bf-48df-9ef6-f42066f6c759 · outbound

This paper cites and Hutter, F.

Diffusion Autoencoders are Scalable Image Tokenizers and Hutter, F

Reference 33

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Observation a102542e-55fa-47a3-9481-0b6ca13e6ebd · outbound

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

Diffusion Autoencoders are Scalable Image Tokenizers Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models

Reference 34

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Observation 16cb503b-4aad-468c-9ca2-86fd03a50c95 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Diffusion Autoencoders are Scalable Image Tokenizers Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 35

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Observation 73695c68-9d10-48e0-8160-b9a0a4058547 · outbound

This paper cites Stacked convolutional auto-encoders for hierarchical feature extraction.

Diffusion Autoencoders are Scalable Image Tokenizers Stacked convolutional auto-encoders for hierarchical feature extraction

Reference 36

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Observation 9a37c3f8-4cc3-49d1-80e6-c1b03008a249 · outbound

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Diffusion Autoencoders are Scalable Image Tokenizers and Maaten, L

Reference 37

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Observation d048911a-7e17-488e-8485-5437b8136f3f · outbound

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

Diffusion Autoencoders are Scalable Image Tokenizers GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 38

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Diffusion Autoencoders are Scalable Image Tokenizers Unresolved cited work

Reference 39

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Diffusion Autoencoders are Scalable Image Tokenizers Unresolved cited work

Reference 40

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Observation 4e1f994f-b339-4930-924b-b4db5644dbc8 · outbound

This paper cites Diffuse VAE : Efficient, controllable and high-fidelity generation from low-dimensional latents.

Diffusion Autoencoders are Scalable Image Tokenizers Diffuse VAE : Efficient, controllable and high-fidelity generation from low-dimensional latents

Reference 41

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Observation f67e4eaf-2966-4250-9a3e-ad7666a9bf9e · outbound

This paper cites and Xie, S.

Diffusion Autoencoders are Scalable Image Tokenizers and Xie, S

Reference 42

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Observation 01ea68a9-d96b-4a43-aa33-29c305f2a344 · outbound

This paper cites L., Pal, C., and Aubreville, M.

Diffusion Autoencoders are Scalable Image Tokenizers L., Pal, C., and Aubreville, M

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:56:36.943136Z

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Observation 22a7776a-4cb5-4829-b6b8-b7d8a1dc7469 · outbound

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

Diffusion Autoencoders are Scalable Image Tokenizers SDXL : Improving latent diffusion models for high-resolution image synthesis

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:56:36.932344Z

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Observation 6de2d389-5659-4dca-a761-eb794a9eaf20 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

Diffusion Autoencoders are Scalable Image Tokenizers Movie Gen: A Cast of Media Foundation Models

Reference 45

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Observation 07b008da-c91a-4448-8b6b-3e6218b4167c · outbound

This paper cites Diffusion autoencoders: Toward a meaningful and decodable representation.

Diffusion Autoencoders are Scalable Image Tokenizers Diffusion autoencoders: Toward a meaningful and decodable representation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:56:36.921496Z

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Observation b05b5223-7f12-49c5-84ad-27617c94a8f1 · outbound

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

Diffusion Autoencoders are Scalable Image Tokenizers Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 47

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This paper cites Unsupervised learning of invariant feature hierarchies with applications to object recognition.

Diffusion Autoencoders are Scalable Image Tokenizers Unsupervised learning of invariant feature hierarchies with applications to object recognition

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:56:36.910815Z

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Observation a740689e-1f1e-41e6-8a36-95e44c12ed49 · outbound

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

Diffusion Autoencoders are Scalable Image Tokenizers High-resolution image synthesis with latent diffusion models

Reference 49

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Diffusion Autoencoders are Scalable Image Tokenizers and Hinton, G

Reference 50

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Observation 682fd855-219c-498d-b67f-777046f225c6 · outbound

This paper cites and Ho, J.

Diffusion Autoencoders are Scalable Image Tokenizers and Ho, J

Reference 51

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Observation d17e275d-414a-48c3-97bd-b2ebd8a4ced0 · outbound

This paper cites Multistep Distillation of Diffusion Models via Moment Matching.

Diffusion Autoencoders are Scalable Image Tokenizers Multistep Distillation of Diffusion Models via Moment Matching

Reference 52

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Observation 6e733bc6-6411-4ddd-823b-015b650d5299 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Diffusion Autoencoders are Scalable Image Tokenizers Deep unsupervised learning using nonequilibrium thermodynamics

Reference 53

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Observation a454d409-f1af-4def-82e2-4a1759443042 · outbound

This paper cites Denoising diffusion implicit models.

Diffusion Autoencoders are Scalable Image Tokenizers Denoising diffusion implicit models

Reference 54

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Observation f191d790-fa97-4061-91dc-5000501e89cb · outbound

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Diffusion Autoencoders are Scalable Image Tokenizers and Dhariwal, P

Reference 55

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Observation 8b9a4516-8227-4d60-be4c-2258d330effb · outbound

This paper cites and Ermon, S.

Diffusion Autoencoders are Scalable Image Tokenizers and Ermon, S

Reference 56

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Observation 35cb72f2-e4c3-4cae-80f6-fe051d68bf32 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Diffusion Autoencoders are Scalable Image Tokenizers Score-Based Generative Modeling through Stochastic Differential Equations

Reference 57

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Observation 772d77e5-f8f6-47dc-a53b-b30d76865cd3 · outbound

This paper cites P., Kumar, A., Ermon, S., and Poole, B.

Diffusion Autoencoders are Scalable Image Tokenizers P., Kumar, A., Ermon, S., and Poole, B

Reference 58

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This paper cites Consistency models.

Diffusion Autoencoders are Scalable Image Tokenizers Consistency models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:56:36.845076Z

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Observation 080034e6-9ff0-4c58-82d0-fb680c7da5c5 · outbound

This paper cites Extracting and composing robust features with denoising autoencoders.

Diffusion Autoencoders are Scalable Image Tokenizers Extracting and composing robust features with denoising autoencoders

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:56:36.834209Z

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Observation a59741cb-79c8-4d60-8576-d39b38605987 · outbound

This paper cites Esrgan: Enhanced super-resolution generative adversarial networks.

Diffusion Autoencoders are Scalable Image Tokenizers Esrgan: Enhanced super-resolution generative adversarial networks

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:56:36.822597Z

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

Observation 71413202-b732-49af-a07b-48d05e6acda8 · outbound

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

Diffusion Autoencoders are Scalable Image Tokenizers Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:56:36.811042Z

Source-reported events for the cited work

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

Observation 8406581b-ae79-434d-b038-dfb13a2462cb · outbound

This paper cites EM Distillation for One-step Diffusion Models.

Diffusion Autoencoders are Scalable Image Tokenizers EM Distillation for One-step Diffusion Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:36.215703Z

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Observation 3df9f2e7-9741-4d87-afe8-6caf18fa55ce · outbound

This paper cites an unresolved cited work.

Diffusion Autoencoders are Scalable Image Tokenizers Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-09T22:56:36.798382Z

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Observation f9f62721-9cf8-435d-9acb-a2b43d6cad23 · outbound

This paper cites T., and Park, T.

Diffusion Autoencoders are Scalable Image Tokenizers T., and Park, T

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:36.223355Z

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Observation 10880191-3d47-4747-ab61-163f8a62be6b · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Diffusion Autoencoders are Scalable Image Tokenizers Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:36.227366Z

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Observation b4550f88-6475-465b-8a39-891b8ad6e24f · outbound

This paper cites A., Shechtman, E., and Wang, O.

Diffusion Autoencoders are Scalable Image Tokenizers A., Shechtman, E., and Wang, O

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:36.231817Z

Source-reported events for the cited work

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Observation 6ece528b-28f1-436c-be1c-fbf0048ec9ce · outbound

This paper cites Epsilon-VAE: Denoising as Visual Decoding.

Diffusion Autoencoders are Scalable Image Tokenizers Epsilon-VAE: Denoising as Visual Decoding

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:36.235654Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9e403f18-b92b-4636-9bc8-c38f38308274 · inbound

3D Shape Tokenization via Latent Flow Matching cites this paper.

3D Shape Tokenization via Latent Flow Matching Diffusion Autoencoders are Scalable Image Tokenizers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T11:23:34.104214Z

Source-reported events for the cited work

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Observation f9f6a167-692f-43c5-9e9b-258d056fdc24 · inbound

D-AR: Diffusion via Autoregressive Models cites this paper.

D-AR: Diffusion via Autoregressive Models Diffusion Autoencoders are Scalable Image Tokenizers

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:47.896319Z

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Observation 918554f6-a36e-4b25-801b-a7567b8d98a5 · inbound

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization cites this paper.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Diffusion Autoencoders are Scalable Image Tokenizers

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:33.951411Z

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Observation c5f8e4c3-3d5f-4a0d-a217-7affa712167b · inbound

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

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers Diffusion Autoencoders are Scalable Image Tokenizers

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:28:29.657972Z

Source-reported events for the cited work

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