Paper Citation Record · LEDGER

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression

As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2506.09482.

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

pith.paper-citation-record.v1
2506.09482 v3

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:52:55.129106Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T22:03:27.981438Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T22:08:04.862187Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
verified fuzzy17
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e615f53b-ec4d-4b1c-8f73-0b3e02a6bcdd · outbound

This paper cites The euler scheme for stochastic differential equations: error analysis with malliavin calculus.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression The euler scheme for stochastic differential equations: error analysis with malliavin calculus

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:52:55.576507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 137c3665-b14a-4801-8581-c9a1df3bbba3 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 2

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Source-reported events for the cited work

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Observation eb8792d9-2b30-4e9c-9b54-e3bfee2ae329 · outbound

This paper cites Language models are few-shot learners.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Language models are few-shot learners

Reference 3

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Source-reported events for the cited work

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Observation b382e443-a185-4302-bb4e-92deec97c19c · outbound

This paper cites Efficient-vqgan: Towards high-resolution image generation with efficient vision transformers.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Efficient-vqgan: Towards high-resolution image generation with efficient vision transformers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:52:55.560806Z

Source-reported events for the cited work

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Observation 67d76e23-e6c4-47d4-903a-e07a258ea478 · outbound

This paper cites an unresolved cited work.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Unresolved cited work

Reference 5

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Source-reported events for the cited work

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Observation f5c8e463-5801-4aa2-ae39-14536f44e866 · outbound

This paper cites Maskgit: Masked generative image transformer.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Maskgit: Masked generative image transformer

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:54.979834Z

Source-reported events for the cited work

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Observation 4e3d1863-e587-48ca-b024-665ea4e487ee · outbound

This paper cites BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Reference 7

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Source-reported events for the cited work

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Observation 10760689-6e65-4ea4-b2b0-9312560c44a6 · outbound

This paper cites Pixart- σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Pixart- σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation

Reference 8

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Source-reported events for the cited work

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Observation d669bd30-f076-4cf6-953c-a77c545f299c · outbound

This paper cites Generative pretraining from pixels.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Generative pretraining from pixels

Reference 9

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Source-reported events for the cited work

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Observation ab7b6f09-49cd-49ae-9bd2-91860601eb26 · outbound

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

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Imagenet: A large- scale hierarchical image database

Reference 10

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Source-reported events for the cited work

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Observation fb2c6638-8d71-4fcc-a873-2f6f81596452 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Diffusion models beat gans on image synthesis

Reference 11

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Observation f2af30bc-a74e-4695-8ff0-2578a49cd7c6 · outbound

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

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Scaling rectified flow transformers for high-resolution image synthesis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:52:55.510237Z

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Observation 014d52e1-83fb-4a69-b4d1-a4fd1e3f4478 · outbound

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

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Taming transformers for high-resolution image synthesis

Reference 13

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Observation cb57c68f-f197-4191-9117-3b6cb7536f58 · outbound

This paper cites Diffit: Diffusion vision transformers for image generation.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Diffit: Diffusion vision transformers for image generation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:52:55.494111Z

Source-reported events for the cited work

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Observation 13814c2e-7902-4b14-855d-9e1c6e668d43 · outbound

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

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:52:55.483328Z

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Observation ad004752-b1a7-4716-9939-5834165020a0 · outbound

This paper cites Denoising diffusion probabilistic models.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Denoising diffusion probabilistic models

Reference 16

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Observation eead87c5-347a-4d5e-ad93-807a64a9d5a2 · outbound

This paper cites Fleet, Mohammad Norouzi, and Tim Salimans.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Fleet, Mohammad Norouzi, and Tim Salimans

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:52:55.464833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 16d25490-0c17-43df-9cda-67a7305574c3 · outbound

This paper cites Scaling up gans for text-to-image synthesis.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Scaling up gans for text-to-image synthesis

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:52:55.454636Z

Source-reported events for the cited work

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Observation 78d80790-7c2a-4e1c-80c1-8bfd5af6b808 · outbound

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

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Analyzing and improving the training dynamics of diffusion models

Reference 19

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Source-reported events for the cited work

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Observation 6e09d5ff-dfbe-4f03-a505-7bda4ad1767c · outbound

This paper cites Kloeden and E.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Kloeden and E

Reference 20

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Source-reported events for the cited work

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Observation bcf12372-39df-4eed-ac1e-b6ef9fe976af · outbound

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Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Unresolved cited work

Reference 21

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Observation 943e51bb-6c12-422b-9a56-9cf259390559 · outbound

This paper cites Autoregressive image generation using residual quantization.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Autoregressive image generation using residual quantization

Reference 22

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Observation fdf36905-08c8-4da5-90c8-3411c40071ae · outbound

This paper cites Mage: Masked generative encoder to unify representation learning and image synthesis.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Mage: Masked generative encoder to unify representation learning and image synthesis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:52:55.406557Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 988a51f7-087a-49e7-b037-bc3931a2ebb8 · outbound

This paper cites Autoregressive image generation without vector quantization.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Autoregressive image generation without vector quantization

Reference 24

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Source-reported events for the cited work

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Observation ce85b1c3-0fda-4b7a-b908-926aba5f9c5f · outbound

This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 25

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Observation a3d72657-6772-4f95-a9f8-abeef141f225 · outbound

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Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 36e08de6-48b6-4c0b-a5aa-f53eea09a059 · outbound

This paper cites Alleviat- ing distortion in image generation via multi-resolution diffusion models and time-dependent layer normalization.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Alleviat- ing distortion in image generation via multi-resolution diffusion models and time-dependent layer normalization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:52:55.375806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fdeb6d51-45b8-4d6c-acac-47f3c58695ee · outbound

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

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:52:55.365346Z

Source-reported events for the cited work

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Observation 9dff4a42-2aaa-4357-8d71-eaee53a8b263 · outbound

This paper cites Decoupled Weight Decay Regularization.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Decoupled Weight Decay Regularization

Reference 29

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Observation 63f8ebcc-f796-4c15-b2e3-8e8b63a1d1d9 · outbound

This paper cites STAR: Scale-wise Text-conditioned AutoRegressive image generation.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression STAR: Scale-wise Text-conditioned AutoRegressive image generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:55.064692Z

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Observation 755879f7-f01c-4153-87c4-045c525902f8 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Improved denoising diffusion probabilistic models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:52:55.353793Z

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Observation ff87d92b-2023-482b-a780-62aca0378fb5 · outbound

This paper cites Scalable diffusion models with transformers.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Scalable diffusion models with transformers

Reference 32

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Observation 7a627732-4e7b-4020-b7ed-b088d43be73c · outbound

This paper cites Scalable diffusion models with transformers.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Scalable diffusion models with transformers

Reference 33

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Observation 3fa6878e-8dd7-42cb-a3cb-b24b33ffd917 · outbound

This paper cites Language models are unsupervised multitask learners.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Language models are unsupervised multitask learners

Reference 34

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Observation 36fb676b-91a6-4df9-9ea4-2b072009b459 · outbound

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

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Zero-shot text-to-image generation

Reference 35

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Observation 4ae81be1-feb6-497a-8c72-1e2207aca2ab · outbound

This paper cites Generating diverse high-fidelity images with vq-vae-2.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Generating diverse high-fidelity images with vq-vae-2

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:55.083754Z

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Observation 0b090992-b052-4003-8178-d60b7ff1248b · outbound

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

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation

Reference 37

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Observation ce8f5af0-155e-4e54-b6ea-2d197f5ef1a9 · outbound

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Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression High- resolution image synthesis with latent diffusion models

Reference 38

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Observation 5153f753-8f08-45ec-9158-d71be333872a · outbound

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

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression High- resolution image synthesis with latent diffusion models

Reference 39

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Observation 1addfe19-610e-49c9-b9fd-74206d947959 · outbound

This paper cites Improved techniques for training gans.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Improved techniques for training gans

Reference 40

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Observation 2d8d3914-1b0c-42b4-800a-cb072c6f1027 · outbound

This paper cites Stylegan-xl: Scaling stylegan to large diverse datasets.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Stylegan-xl: Scaling stylegan to large diverse datasets

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:55.099667Z

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Observation 0a98844b-c8b9-4dbf-b1e4-7348f4ea76d7 · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:52:55.279258Z

Source-reported events for the cited work

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Observation 234b10bf-48a1-4709-b4bf-740f4aeeccf8 · outbound

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

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:55.106108Z

Source-reported events for the cited work

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Observation fa718898-93ba-41f1-aa5e-f0f782f2b408 · outbound

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

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:55.109382Z

Source-reported events for the cited work

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Observation 2f29c40d-65c5-44fb-93e2-bbcebba7eaba · outbound

This paper cites Con- ditional image generation with pixelcnn decoders.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Con- ditional image generation with pixelcnn decoders

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:52:55.263448Z

Source-reported events for the cited work

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Observation 4d79eb6a-8d82-4f91-bea3-ddcc9af770a8 · outbound

This paper cites Neural discrete representation learning.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Neural discrete representation learning

Reference 46

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Source-reported events for the cited work

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Observation acc37cd3-ad81-4ba5-bcf8-b54cb6bb3450 · outbound

This paper cites Attention is all you need.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Attention is all you need

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:55.118707Z

Source-reported events for the cited work

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Observation d3d6d30a-9077-4ff2-97cc-443602be5bcd · outbound

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

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:55.121825Z

Source-reported events for the cited work

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Observation 78d9add8-a62a-4894-9eb2-cf5afa234514 · outbound

This paper cites Randomized Autoregressive Visual Generation.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression Randomized Autoregressive Visual Generation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:55.125513Z

Source-reported events for the cited work

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Observation 8df0b60b-f192-4be3-97d3-ae74e55aa94d · outbound

This paper cites VAR-CLIP: Text-to-Image Generator with Visual Auto-Regressive Modeling.

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression VAR-CLIP: Text-to-Image Generator with Visual Auto-Regressive Modeling

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:55.129106Z

Source-reported events for the cited work

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Pith citing papers

Observation 618ce84b-a86f-4bc9-889d-5997c5c0af42 · inbound

Drift-AR: Single-Step Visual Autoregressive Generation via Anti-Symmetric Drifting cites this paper.

Drift-AR: Single-Step Visual Autoregressive Generation via Anti-Symmetric Drifting Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:08:04.865052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.