Paper Citation Record · LEDGER

D-AR: Diffusion via Autoregressive Models

As of 14 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 3 inbound Pith citation observations for arXiv:2505.23660.

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

pith.paper-citation-record.v1
2505.23660 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:46:50.422272Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:30:52.012479Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:46:47.760343Z

Reference resolution

78 of 78 outbound references displayed

verified exact0
verified fuzzy49
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc2fd7a5-6935-4cb7-ae16-d3a166b29127 · outbound

This paper cites Gpt-4 technical report, 2024.

D-AR: Diffusion via Autoregressive Models Gpt-4 technical report, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:58.368235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0bdd1f13-bcc9-484c-b31d-0b763ef99acc · outbound

This paper cites Llama: Open and efficient foundation language models, 2023.

D-AR: Diffusion via Autoregressive Models Llama: Open and efficient foundation language models, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:58.156310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c1eabaff-639f-404c-bdda-3a8602ee82a0 · outbound

This paper cites The llama 3 herd of models, 2024.

D-AR: Diffusion via Autoregressive Models The llama 3 herd of models, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:57.993686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6ae694eb-0ca2-4ed6-8bef-2736a02a5103 · outbound

This paper cites Megatron-lm: Training multi-billion parameter language models using model parallelism, 2020.

D-AR: Diffusion via Autoregressive Models Megatron-lm: Training multi-billion parameter language models using model parallelism, 2020

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:57.837872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1851360f-64dd-42bf-8ead-7a247658c9a8 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

D-AR: Diffusion via Autoregressive Models Efficient memory management for large language model serving with pagedattention

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:57.635380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7b29db58-6dc8-4b5a-8b6b-6078c5f33cf3 · outbound

This paper cites Gonzalez, Clark W.

D-AR: Diffusion via Autoregressive Models Gonzalez, Clark W

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:57.456362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f8e34a4b-1b1a-4a1f-8344-2307473f8521 · outbound

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

D-AR: Diffusion via Autoregressive Models Taming transformers for high-resolution image synthesis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:57.257148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5f85896c-36cc-4baa-8d2d-c2ca345acda2 · outbound

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

D-AR: Diffusion via Autoregressive Models Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:45.345854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fce79b7-7d9e-47f4-af21-3f66d28121c0 · outbound

This paper cites Autoregressive image generation using residual quantization.

D-AR: Diffusion via Autoregressive Models Autoregressive image generation using residual quantization

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:57.053333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5fc46b2b-5b37-4b57-9137-6ccfabae1046 · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

D-AR: Diffusion via Autoregressive Models Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:45.483428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c64c6b9a-fb7b-41f6-8bb8-325a8e08c04c · outbound

This paper cites Transfusion: Predict the next token and diffuse images with one multi-modal model.

D-AR: Diffusion via Autoregressive Models Transfusion: Predict the next token and diffuse images with one multi-modal model

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:56.866677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ab56922a-5a01-478a-b2d4-753dda0fe3fd · outbound

This paper cites Show-o: One single transformer to unify multimodal understanding and generation.

D-AR: Diffusion via Autoregressive Models Show-o: One single transformer to unify multimodal understanding and generation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:56.740306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a3b50abb-d00b-48a1-ac98-81a0c90cbfbf · outbound

This paper cites JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation.

D-AR: Diffusion via Autoregressive Models JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:45.711461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d868a86c-bb90-42a5-b59e-7ee78d579020 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.

D-AR: Diffusion via Autoregressive Models Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:56.641401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6155b4e-48df-4057-89c7-4ea9aa01895b · outbound

This paper cites RandAR: Decoder-only Autoregressive Visual Generation in Random Orders.

D-AR: Diffusion via Autoregressive Models RandAR: Decoder-only Autoregressive Visual Generation in Random Orders

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:45.910750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4321cb41-7cef-4d38-a914-da9370c6a937 · outbound

This paper cites Randomized Autoregressive Visual Generation.

D-AR: Diffusion via Autoregressive Models Randomized Autoregressive Visual Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:46.010289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a78fdd55-6a02-458b-82e4-efb16a63fd60 · outbound

This paper cites Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation.

D-AR: Diffusion via Autoregressive Models Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:46.106673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f6f1c90-20f1-4684-8e28-cb9b1dacdf79 · outbound

This paper cites Imagefolder: Autoregressive image generation with folded tokens.

D-AR: Diffusion via Autoregressive Models Imagefolder: Autoregressive image generation with folded tokens

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:56.544284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aa9c98c5-9106-4784-8def-9ecd3d449541 · outbound

This paper cites Denoising diffusion implicit models.

D-AR: Diffusion via Autoregressive Models Denoising diffusion implicit models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:56.422149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e298f9e4-ab65-4006-9974-04b068b9c159 · outbound

This paper cites Denoising diffusion probabilistic models.

D-AR: Diffusion via Autoregressive Models Denoising diffusion probabilistic models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:56.346787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3c83ddb2-574b-486c-a879-fed7cba23100 · outbound

This paper cites an unresolved cited work.

D-AR: Diffusion via Autoregressive Models Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:46:56.297325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a7da4bdc-df6e-49b0-a523-14ec3485ec94 · outbound

This paper cites Zero-shot text-to-image generation.

D-AR: Diffusion via Autoregressive Models Zero-shot text-to-image generation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:56.201529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 65f17faa-0034-4b6c-9cf7-56f00d57190c · outbound

This paper cites Flux.https://github.com/black-forest-labs/flux, 2023.

D-AR: Diffusion via Autoregressive Models Flux.https://github.com/black-forest-labs/flux, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:56.075666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c80a2824-d562-4bda-950d-724c1e187904 · outbound

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

D-AR: Diffusion via Autoregressive Models SDXL: improving latent diffusion models for high-resolution image synthesis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:55.977354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 607903b1-6490-4556-988d-7e022317ba86 · outbound

This paper cites Generative modelling with inverse heat dissipation.

D-AR: Diffusion via Autoregressive Models Generative modelling with inverse heat dissipation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:55.888345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 08767e9d-b55e-424a-9f43-b28360cb607f · outbound

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

D-AR: Diffusion via Autoregressive Models Imagenet: A large-scale hierarchical image database

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:55.776731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e8d0f683-9a73-4bbd-ae5d-a6bb4c2e194b · outbound

This paper cites Autoregressive image generation without vector quantization.

D-AR: Diffusion via Autoregressive Models Autoregressive image generation without vector quantization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:55.651099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 81bce52c-9c4b-4281-bafd-ab8233fa9ba7 · outbound

This paper cites Causal Diffusion Transformers for Generative Modeling.

D-AR: Diffusion via Autoregressive Models Causal Diffusion Transformers for Generative Modeling

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:46.812359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8055208-63d7-4ffc-aaa9-a1946fc63dcf · outbound

This paper cites Diffusion forcing: Next-token prediction meets full-sequence diffusion.

D-AR: Diffusion via Autoregressive Models Diffusion forcing: Next-token prediction meets full-sequence diffusion

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:55.506216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e0c9581b-8d86-4941-a926-74bf4f2de18a · outbound

This paper cites Denoising autoregressive transformers for scalable text-to-image generation.

D-AR: Diffusion via Autoregressive Models Denoising autoregressive transformers for scalable text-to-image generation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:55.409488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5de7d2cc-1766-4fac-945b-7dc315b83c1d · outbound

This paper cites Dreamllm: Synergistic multimodal comprehension and creation.

D-AR: Diffusion via Autoregressive Models Dreamllm: Synergistic multimodal comprehension and creation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:55.274802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 29768e1e-5749-4550-b08f-3e954b42c2b7 · outbound

This paper cites SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.

D-AR: Diffusion via Autoregressive Models SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:47.076151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5627c6fb-d2e4-4660-a92d-6c1a2abf21d8 · outbound

This paper cites Next-gpt: Any-to-any multimodal llm.

D-AR: Diffusion via Autoregressive Models Next-gpt: Any-to-any multimodal llm

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:55.161398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7eced1e8-7ed3-40a7-834e-8242f4958736 · outbound

This paper cites Transfer between Modalities with MetaQueries.

D-AR: Diffusion via Autoregressive Models Transfer between Modalities with MetaQueries

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:47.202196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d72283e4-28ef-4e34-a3d0-feddf376213a · outbound

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

D-AR: Diffusion via Autoregressive Models Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:55.044999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 95342513-c714-4ea1-8426-46851d6dfad0 · outbound

This paper cites Gemini: A family of highly capable multimodal models, 2025.

D-AR: Diffusion via Autoregressive Models Gemini: A family of highly capable multimodal models, 2025

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:54.891325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c867aadb-5927-4c46-9dc8-d14acb312c8c · outbound

This paper cites Qwen technical report, 2023.

D-AR: Diffusion via Autoregressive Models Qwen technical report, 2023

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:54.771591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9ecfaeb2-d0e0-4cd1-81e5-b186005608ca · outbound

This paper cites Neural discrete representation learning.

D-AR: Diffusion via Autoregressive Models Neural discrete representation learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:54.606369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fed357c7-d03f-43b7-b084-9698b3cea670 · outbound

This paper cites Long-Context Autoregressive Video Modeling with Next-Frame Prediction.

D-AR: Diffusion via Autoregressive Models Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:47.553558Z

Source-reported events for the cited work

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Observation 316ea204-d21e-4210-8d45-57ef8ba94ff0 · outbound

This paper cites Vector-quantized image modeling with improved VQGAN.

D-AR: Diffusion via Autoregressive Models Vector-quantized image modeling with improved VQGAN

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:54.455120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e8f5478-5fd2-46c8-ae86-02e172096ec6 · outbound

This paper cites consistencydecoder.https://github.com/openai/consistencydecoder, 2023.

D-AR: Diffusion via Autoregressive Models consistencydecoder.https://github.com/openai/consistencydecoder, 2023

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:54.308521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 29b6e9f4-6ec3-4d52-8b38-a40df98700e2 · outbound

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

D-AR: Diffusion via Autoregressive Models Epsilon-VAE: Denoising as Visual Decoding

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:47.729995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b6c5137-aafc-4905-9915-c36de8743a07 · outbound

This paper cites HART: Efficient Visual Generation with Hybrid Autoregressive Transformer.

D-AR: Diffusion via Autoregressive Models HART: Efficient Visual Generation with Hybrid Autoregressive Transformer

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:47.784895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cca8bd1c-7bc7-40ba-8abd-4317c47d6275 · outbound

This paper cites Flow to the mode: Mode-seeking diffusion autoencoders for state-of-the-art image tokenization.arXiv, abs/2503.11056, 2025.

D-AR: Diffusion via Autoregressive Models Flow to the mode: Mode-seeking diffusion autoencoders for state-of-the-art image tokenization.arXiv, abs/2503.11056, 2025

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:47.839343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Diffusion Autoencoders are Scalable Image Tokenizers.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28319137-1daa-4ce8-ad0f-920983ee29a3 · outbound

This paper cites "Principal Components" Enable A New Language of Images.

D-AR: Diffusion via Autoregressive Models "Principal Components" Enable A New Language of Images

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:47.951311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 325af286-6860-4494-83b2-e583c74728b9 · outbound

This paper cites FlexTok: Resampling Images into 1D Token Sequences of Flexible Length.

D-AR: Diffusion via Autoregressive Models FlexTok: Resampling Images into 1D Token Sequences of Flexible Length

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:47.998604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9934654c-9867-45f0-bfde-f83ad63e7a00 · outbound

This paper cites Kingma and Max Welling.

D-AR: Diffusion via Autoregressive Models Kingma and Max Welling

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:54.161492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6966e6d1-650c-4e97-aecc-be070dd3e8dc · outbound

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

D-AR: Diffusion via Autoregressive Models High-resolution image synthesis with latent diffusion models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:53.985745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 855a524b-5a6f-4049-9406-2c283f74792c · outbound

This paper cites Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens.

D-AR: Diffusion via Autoregressive Models Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:48.181078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8879aa26-61a5-4ec0-9da7-ca1d08784bcc · outbound

This paper cites An image is worth 32 tokens for reconstruction and generation.Advances in Neural Information Processing Systems, 37:128940–128966, 2024.

D-AR: Diffusion via Autoregressive Models An image is worth 32 tokens for reconstruction and generation.Advances in Neural Information Processing Systems, 37:128940–128966, 2024

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:53.864890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bba06e3a-0d78-4188-8753-832dc7b13fab · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

D-AR: Diffusion via Autoregressive Models Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:53.744013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5385c25c-defb-4cd7-89d3-ed105ffad586 · outbound

This paper cites Scalable diffusion models with transformers.

D-AR: Diffusion via Autoregressive Models Scalable diffusion models with transformers

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:53.583535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d3a0bb2-49ad-405f-87f2-092907dfaa40 · outbound

This paper cites Albergo, Nicholas M.

D-AR: Diffusion via Autoregressive Models Albergo, Nicholas M

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:53.440867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae76940d-f15a-4eb2-a203-64cb01d7d059 · outbound

This paper cites Soda: Bottleneck diffusion models for representation learning.

D-AR: Diffusion via Autoregressive Models Soda: Bottleneck diffusion models for representation learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:53.302150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 76b2d064-cefe-479f-9802-f4884573b7dd · outbound

This paper cites Finite Scalar Quantization: VQ-VAE Made Simple.

D-AR: Diffusion via Autoregressive Models Finite Scalar Quantization: VQ-VAE Made Simple

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:48.586612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bf76024-39b9-4abb-9a0d-a710eca451f5 · outbound

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

D-AR: Diffusion via Autoregressive Models Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:48.646407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff439393-75df-4481-ad94-fbde8cbe8c92 · outbound

This paper cites Courville.

D-AR: Diffusion via Autoregressive Models Courville

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:53.177354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fd52ed4f-e766-4136-b248-9e4b077a9001 · outbound

This paper cites simple diffusion: End-to-end diffusion for high resolution images.

D-AR: Diffusion via Autoregressive Models simple diffusion: End-to-end diffusion for high resolution images

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:53.024188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5372283d-689e-4f8b-bc24-59a8a11c1638 · outbound

This paper cites Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion.

D-AR: Diffusion via Autoregressive Models Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:48.877251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97779e07-a3b2-4fd9-8923-cc6859c5518d · outbound

This paper cites Efros, Eli Shechtman, and Oliver Wang.

D-AR: Diffusion via Autoregressive Models Efros, Eli Shechtman, and Oliver Wang

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:52.864653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 80d725be-ea0b-4133-a641-eae7ac0b35e8 · outbound

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

D-AR: Diffusion via Autoregressive Models Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:49.073670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46b4bd64-a50c-4d01-9915-319b3508432c · outbound

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

D-AR: Diffusion via Autoregressive Models Scaling rectified flow transformers for high-resolution image synthesis

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:52.695190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 687b383d-1854-4407-9eed-2dd2db344223 · outbound

This paper cites Classifier-Free Diffusion Guidance.

D-AR: Diffusion via Autoregressive Models Classifier-Free Diffusion Guidance

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:49.234889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d863ca36-185a-41c7-a4eb-eae09dca3f1b · outbound

This paper cites Root mean square layer normalization.

D-AR: Diffusion via Autoregressive Models Root mean square layer normalization

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:52.519790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3305620b-3e66-49d0-b7d0-cf7a90c8bd08 · outbound

This paper cites GLU Variants Improve Transformer.

D-AR: Diffusion via Autoregressive Models GLU Variants Improve Transformer

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:49.393422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc4ebb81-7754-4ea1-8188-7201e12cb79c · outbound

This paper cites an unresolved cited work.

D-AR: Diffusion via Autoregressive Models Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:46:52.351782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6368fa96-e6dc-4ac5-b6fe-cfa727010e68 · outbound

This paper cites Kingma and Jimmy Ba.

D-AR: Diffusion via Autoregressive Models Kingma and Jimmy Ba

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:52.204911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0f1ac33e-816f-4432-a5b5-b9c28b561e86 · outbound

This paper cites Decoupled Weight Decay Regularization.

D-AR: Diffusion via Autoregressive Models Decoupled Weight Decay Regularization

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:49.660399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cff7d735-a358-4a25-9363-bd122bb32b7a · outbound

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

D-AR: Diffusion via Autoregressive Models Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:52.046547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7288a251-59ad-46cc-a52b-2766905c1ca9 · outbound

This paper cites Improved techniques for training gans.Advances in neural information processing systems, 29, 2016.

D-AR: Diffusion via Autoregressive Models Improved techniques for training gans.Advances in neural information processing systems, 29, 2016

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:49.846399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43d01ad3-7397-4900-9ab6-b8e9019691a2 · outbound

This paper cites Diffusion models beat gans on image synthesis.

D-AR: Diffusion via Autoregressive Models Diffusion models beat gans on image synthesis

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:51.877309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a8af3289-c862-4f5b-9275-f24204b80e62 · outbound

This paper cites With an Explanation of the Method of Integration Employed in Constructing the Tables Which Give the Theoretical Forms of Such Drops.

D-AR: Diffusion via Autoregressive Models With an Explanation of the Method of Integration Employed in Constructing the Tables Which Give the Theoretical Forms of Such Drops

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:51.734187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1bc34565-56ec-4936-929c-50fdf2b5c808 · outbound

This paper cites an unresolved cited work.

D-AR: Diffusion via Autoregressive Models Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:46:51.581439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1ca93848-08df-464a-a1ef-b0d7cee22c3b · outbound

This paper cites Scalable image tokenization with index backpropagation quantization.arXiv, 2024.

D-AR: Diffusion via Autoregressive Models Scalable image tokenization with index backpropagation quantization.arXiv, 2024

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:51.432509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c8d65a22-8cc1-4505-953d-979ad1703584 · outbound

This paper cites Layer Normalization.

D-AR: Diffusion via Autoregressive Models Layer Normalization

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:50.265973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5bca98a-29ab-4de7-9040-623c354f0860 · outbound

This paper cites Sigmoid-weighted linear units for neural network function approximation in reinforcement learning.Neural Networks, 107:3–11, 2018.

D-AR: Diffusion via Autoregressive Models Sigmoid-weighted linear units for neural network function approximation in reinforcement learning.Neural Networks, 107:3–11, 2018

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:51.285726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9ec4b6cb-412a-4de5-a580-0ff4622bf5a4 · outbound

This paper cites Query-key normaliza- tion for transformers.

D-AR: Diffusion via Autoregressive Models Query-key normaliza- tion for transformers

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:51.108689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 961b28fe-e711-4f17-aec5-53c66f4178aa · inbound

EndoCoT: Scaling Endogenous Chain-of-Thought Reasoning in Diffusion Models cites this paper.

EndoCoT: Scaling Endogenous Chain-of-Thought Reasoning in Diffusion Models D-AR: Diffusion via Autoregressive Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T22:25:04.080629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2cea1fd-b2c2-48a6-beb6-07a389a3d921 · inbound

Fast Text-to-Audio Generation with One-Step Sampling via Energy-Scoring and Auxiliary Contextual Representation Distillation cites this paper.

Fast Text-to-Audio Generation with One-Step Sampling via Energy-Scoring and Auxiliary Contextual Representation Distillation D-AR: Diffusion via Autoregressive Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:46:47.878360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 01cdc37b-c3df-44f3-bade-2ce3d50209b4 · inbound

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning cites this paper.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning D-AR: Diffusion via Autoregressive Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T07:30:52.012479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.