Paper Citation Record · LEDGER

Fast Training of Diffusion Models with Masked Transformers

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 40 inbound Pith citation observations for arXiv:2306.09305.

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

pith.paper-citation-record.v1
2306.09305 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:25:31.194888Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:59:57.977754Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 259772ae-d76a-4d13-8ab0-b3a869a452e7 · inbound

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation cites this paper.

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation Fast Training of Diffusion Models with Masked Transformers

Reference 241

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:06:44.709299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 62ff35ec-0675-42b6-b596-5828acd7c3c0 · inbound

LaVin-DiT: Large Vision Diffusion Transformer cites this paper.

LaVin-DiT: Large Vision Diffusion Transformer Fast Training of Diffusion Models with Masked Transformers

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T18:31:29.051222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e911b030-c58c-4527-98b0-1ae3ce5ef19b · inbound

INRFlow: Flow Matching for INRs in Ambient Space cites this paper.

INRFlow: Flow Matching for INRs in Ambient Space Fast Training of Diffusion Models with Masked Transformers

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T22:12:27.514147Z

Source-reported events for the cited work

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Observation 18ab7e93-b2b8-4d33-b6d6-936aa6fae1bc · inbound

Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising cites this paper.

Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising Fast Training of Diffusion Models with Masked Transformers

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T20:37:01.962804Z

Source-reported events for the cited work

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Observation 3343cfab-9a23-4c18-93b7-b4968e06e0f8 · inbound

Causal Diffusion Transformers for Generative Modeling cites this paper.

Causal Diffusion Transformers for Generative Modeling Fast Training of Diffusion Models with Masked Transformers

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T14:20:49.571961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79d7d66e-c587-4e38-8cd1-03f8cdf3894c · inbound

Improving Generative Pre-Training: An In-depth Study of Masked Image Modeling and Denoising Models cites this paper.

Improving Generative Pre-Training: An In-depth Study of Masked Image Modeling and Denoising Models Fast Training of Diffusion Models with Masked Transformers

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T01:02:56.117688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f5d5819-a497-423e-bfa0-39fc45d5d85f · inbound

Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models cites this paper.

Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models Fast Training of Diffusion Models with Masked Transformers

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T22:34:14.559949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eea0c7b9-9832-46ec-9bed-6bf4cc9eda5d · inbound

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

Exploring Representation-Aligned Latent Space for Better Generation Fast Training of Diffusion Models with Masked Transformers

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T19:22:41.755072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ad5099c-9541-4c90-933b-d69adb866c68 · inbound

Masked Generative Nested Transformers with Decode Time Scaling cites this paper.

Masked Generative Nested Transformers with Decode Time Scaling Fast Training of Diffusion Models with Masked Transformers

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T19:21:56.339709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 001834eb-dab0-447b-82ee-3f5c530f4a75 · inbound

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

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Fast Training of Diffusion Models with Masked Transformers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.982594Z

Source-reported events for the cited work

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Observation 4dc694ad-a1c2-4541-93fb-e29b7e2ef43b · inbound

Unified Continuous Generative Models cites this paper.

Unified Continuous Generative Models Fast Training of Diffusion Models with Masked Transformers

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T22:25:31.194888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7edd54e0-07dd-485b-827b-f91ffa599e20 · inbound

Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value cites this paper.

Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value Fast Training of Diffusion Models with Masked Transformers

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T09:07:14.037023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13829bd9-c1ef-4d9a-b6d1-7032636d9a26 · inbound

Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis cites this paper.

Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis Fast Training of Diffusion Models with Masked Transformers

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:43.657417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54f2b4ff-c8c9-4a47-9964-0a21b2e591d9 · inbound

MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual Editing cites this paper.

MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual Editing Fast Training of Diffusion Models with Masked Transformers

Reference 30

Resolution: malformed identifier; no resolver link, observed 2026-08-06T16:48:34.038440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1261d8e6-cabb-4627-a43f-00f83fb3e609 · inbound

Improving Joint Embedding Predictive Architecture with Diffusion Noise cites this paper.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Fast Training of Diffusion Models with Masked Transformers

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T15:44:53.604445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b6ecdaa-0d4e-48e4-93fd-4e1daec5a277 · inbound

Missing Fine Details in Images: Last Seen in High Frequencies cites this paper.

Missing Fine Details in Images: Last Seen in High Frequencies Fast Training of Diffusion Models with Masked Transformers

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T05:27:34.379629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb61079b-6df8-4dd6-83f7-232c5fb4b940 · inbound

VFM-VAE: Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion Models cites this paper.

VFM-VAE: Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion Models Fast Training of Diffusion Models with Masked Transformers

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T05:22:23.937867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7467a394-75b9-4e97-8669-c4ac14672611 · inbound

REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion cites this paper.

REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion Fast Training of Diffusion Models with Masked Transformers

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-03T15:35:00.843984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f37e1941-f099-465d-af4b-0c9760651f68 · inbound

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

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Fast Training of Diffusion Models with Masked Transformers

Reference 55

Resolution: malformed identifier; no resolver link, observed 2026-08-03T14:53:03.638057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65a1ecf4-f5d1-44c8-8569-7c0e8ee21e22 · inbound

Prompt Reinjection: Alleviating Prompt Forgetting in Multimodal Diffusion Transformers for Text-to-Image Generation cites this paper.

Prompt Reinjection: Alleviating Prompt Forgetting in Multimodal Diffusion Transformers for Text-to-Image Generation Fast Training of Diffusion Models with Masked Transformers

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:04:10.580837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 44f08017-9a0e-4aa1-964f-852df110be70 · inbound

Prompt Reinjection: Alleviating Prompt Forgetting in Multimodal Diffusion Transformers for Text-to-Image Generation cites this paper.

Prompt Reinjection: Alleviating Prompt Forgetting in Multimodal Diffusion Transformers for Text-to-Image Generation Fast Training of Diffusion Models with Masked Transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T03:50:47.050868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de8052a5-d3d6-4468-a7ba-8a3cf75730a6 · inbound

Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders cites this paper.

Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders Fast Training of Diffusion Models with Masked Transformers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T01:25:20.415023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b2adf24-8812-4ff2-b41e-dccb7770bff9 · inbound

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training cites this paper.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Fast Training of Diffusion Models with Masked Transformers

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:40:54.141984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation de66bacb-14e1-44a3-93de-80c9b6cc2eef · inbound

ELT: Elastic Looped Transformers for Visual Generation cites this paper.

ELT: Elastic Looped Transformers for Visual Generation Fast Training of Diffusion Models with Masked Transformers

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:06:00.051356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fb315d39-8a1f-4662-82e3-14adc4bb2564 · inbound

ELT: Elastic Looped Transformers for Visual Generation cites this paper.

ELT: Elastic Looped Transformers for Visual Generation Fast Training of Diffusion Models with Masked Transformers

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-02T16:35:03.444701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0344861-4a63-4bcb-b361-0d0ebe3e3b13 · inbound

Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation cites this paper.

Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation Fast Training of Diffusion Models with Masked Transformers

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T03:08:59.205615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc77dfbe-21c3-4a73-8d4c-ff633c2d4d8c · inbound

End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer cites this paper.

End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer Fast Training of Diffusion Models with Masked Transformers

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:36:05.832440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1dcca901-4945-4546-ad7f-bc3c9574ddbb · inbound

Elucidating Representation Degradation Problem in Diffusion Model Training cites this paper.

Elucidating Representation Degradation Problem in Diffusion Model Training Fast Training of Diffusion Models with Masked Transformers

Reference 64

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:36:26.415612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 170e9b77-d498-4fb1-b5fb-6f73cdd884ec · inbound

Beyond Point-Wise Matching: Structural Representation Alignment for Accelerating Diffusion Transformers cites this paper.

Beyond Point-Wise Matching: Structural Representation Alignment for Accelerating Diffusion Transformers Fast Training of Diffusion Models with Masked Transformers

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:52:46.192834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d1b7b837-8ef6-4925-b570-055f3e15fbde · inbound

FrequencyBooster: Full-Frequency Modeling for High-Fidelity Pixel Diffusion cites this paper.

FrequencyBooster: Full-Frequency Modeling for High-Fidelity Pixel Diffusion Fast Training of Diffusion Models with Masked Transformers

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:48:17.664054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dd868de8-cddc-4767-8129-b14f1093c79e · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation Fast Training of Diffusion Models with Masked Transformers

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:03:15.331324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2f3ca426-072d-4c4c-a7ab-f65a2a6395bb · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation Fast Training of Diffusion Models with Masked Transformers

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:45:00.712640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 921c3a4c-0e22-469e-a5d9-275bda7cbeb5 · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation Fast Training of Diffusion Models with Masked Transformers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T13:49:19.876126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07539e4e-6a3f-4ae2-ae0c-00fbec1cf69b · inbound

Vision Foundation Models as Generalist Tokenizers for Image Generation cites this paper.

Vision Foundation Models as Generalist Tokenizers for Image Generation Fast Training of Diffusion Models with Masked Transformers

Reference 100

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T11:03:13.472208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4b08c0d9-0f40-4cfb-a1d4-0d27e8bca0dc · inbound

MaskAlign: Token-Subset Representation Alignment for Efficient Diffusion Training cites this paper.

MaskAlign: Token-Subset Representation Alignment for Efficient Diffusion Training Fast Training of Diffusion Models with Masked Transformers

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:37:26.196124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 69277d24-07ac-4c3c-a60c-59bdb0c99a53 · inbound

IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder cites this paper.

IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder Fast Training of Diffusion Models with Masked Transformers

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:37:40.236125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc6a1552-d762-46c7-b7f8-246ac4a4d2a5 · inbound

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

DiffusionBench: On Holistic Evaluation of Diffusion Transformers Fast Training of Diffusion Models with Masked Transformers

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:59:57.979676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 46d55d90-dee0-4983-bb48-8d8908df0fa0 · inbound

PixelU: A U-Shaped Transformer for Efficient End-to-End Pixel Diffusion cites this paper.

PixelU: A U-Shaped Transformer for Efficient End-to-End Pixel Diffusion Fast Training of Diffusion Models with Masked Transformers

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T20:03:57.140969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9b452c7b-b3c8-46d9-b918-b0a9efdb9971 · inbound

From SRA to Self-Flow: Data Augmentation or Self-Supervision? cites this paper.

From SRA to Self-Flow: Data Augmentation or Self-Supervision? Fast Training of Diffusion Models with Masked Transformers

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:38:28.526783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 51831a14-7900-4cd2-95da-7d1eb6f19e1f · inbound

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

DiverseDiT++: Quantifying, Analyzing, and Promoting Representation Diversity in Diffusion Transformers Fast Training of Diffusion Models with Masked Transformers

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:45.780722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.