Paper Citation Record · LEDGER

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders

As of 20 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 11 inbound Pith citation observations for arXiv:2412.01827.

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

pith.paper-citation-record.v1
2412.01827 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:59:25.414666Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:14:53.270468Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T18:51:16.120991Z

Reference resolution

64 of 64 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e79e4b0-ea1c-4b20-9a71-8eedda64db2d · outbound

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

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 1

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Observation 356f0a1a-1f38-429f-b8f6-38802609fc1a · outbound

This paper cites In- structPix2Pix: Learning to follow image editing instructions.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders In- structPix2Pix: Learning to follow image editing instructions

Reference 2

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Observation 0be9fbf8-1dec-4ef3-8593-8b6447a782b4 · outbound

This paper cites Language Models are Few-Shot Learners.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Language Models are Few-Shot Learners

Reference 3

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Observation 2cc93d9d-182f-452d-9d68-2a5f3b459d68 · outbound

This paper cites Medusa: Simple llm inference acceleration framework with multiple decod- ing heads.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Medusa: Simple llm inference acceleration framework with multiple decod- ing heads

Reference 4

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Observation d3923326-2950-4f09-8af5-a28fde4b5ed8 · outbound

This paper cites Maskgit: Masked generative image transformer.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Maskgit: Masked generative image transformer

Reference 5

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Observation c2429f4a-a68d-4769-8756-df891a0abdc9 · outbound

This paper cites Muse: Text- to-image generation via masked generative transformers.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Muse: Text- to-image generation via masked generative transformers

Reference 6

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Observation de6624c8-ae5b-4954-83bb-7668cf109aa3 · outbound

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

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Imagenet: A large-scale hierarchical image database

Reference 7

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Observation 19eaaf62-3368-4375-b1b0-8753b609d7db · outbound

This paper cites Diffusion models beat gans on image synthesis.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Diffusion models beat gans on image synthesis

Reference 8

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Observation c4f7e062-8a0f-44a7-ab32-bebecb30b0ff · outbound

This paper cites Patched denoising diffusion models for high-resolution im- age synthesis.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Patched denoising diffusion models for high-resolution im- age synthesis

Reference 9

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Observation 013a4e9b-158d-4dca-9807-cb56788f66bf · outbound

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

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Taming transformers for high-resolution image synthesis

Reference 10

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Observation 014149b2-c692-4714-968b-642df00884c6 · outbound

This paper cites Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Reference 11

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Observation 12c57df7-2a27-4047-9c7a-7b8d57197a67 · outbound

This paper cites Data engineer- ing for scaling language models to 128k context.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Data engineer- ing for scaling language models to 128k context

Reference 12

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Observation e48ee36e-315a-4b08-91e7-db16a9e129e6 · outbound

This paper cites Masked diffusion transformer is a strong image synthesizer.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Masked diffusion transformer is a strong image synthesizer

Reference 13

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Observation 779da7da-3f2f-47f0-b510-9504ed382f16 · outbound

This paper cites OLMo: Accelerating the Science of Language Models.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders OLMo: Accelerating the Science of Language Models

Reference 14

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Observation 5c61379b-cc30-4008-bcbd-05a1cfc1e634 · outbound

This paper cites Masked autoencoders are scalable vision learners.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Masked autoencoders are scalable vision learners

Reference 15

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Observation 03b8a6d3-370b-4a4b-9b26-47cc5879d025 · outbound

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

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 16

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Observation 41fa1a17-66fa-404f-9b41-1c943ed1bddf · outbound

This paper cites Classifier-Free Diffusion Guidance.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Classifier-Free Diffusion Guidance

Reference 17

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Observation 90cd6b2b-3cce-45cb-89b7-db6e9d72b751 · outbound

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

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Scaling up gans for text-to-image synthesis

Reference 18

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Observation bbc8e892-2f32-4010-bbe8-c1360f16bb3d · outbound

This paper cites BERT: Pre-training of deep bidirectional trans- formers for language understanding.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders BERT: Pre-training of deep bidirectional trans- formers for language understanding

Reference 19

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Observation 5c3254b5-a5fb-4f87-8cfe-3e026d48c999 · outbound

This paper cites SqueezeLLM: Dense-and-sparse quantization.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders SqueezeLLM: Dense-and-sparse quantization

Reference 20

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Observation 40b2d559-d1ed-4226-9963-7f07eaf616d6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Adam: A Method for Stochastic Optimization

Reference 21

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Observation 98441cfc-0c71-43d8-9262-cd08bbfff0f7 · outbound

This paper cites Improved precision and recall met- ric for assessing generative models.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Improved precision and recall met- ric for assessing generative models

Reference 22

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Observation 897a6f03-fa64-4fd4-ba63-884aa88b3fd7 · outbound

This paper cites Autoregressive image generation using residual quantization.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Autoregressive image generation using residual quantization

Reference 23

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Observation d55d9dbf-dc6e-41fd-899e-831fba020cbb · outbound

This paper cites Mage: Masked generative encoder to unify representation learning and image synthe- sis.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Mage: Masked generative encoder to unify representation learning and image synthe- sis

Reference 24

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Observation 72118bd0-5bb8-4d6a-8ddb-e3f13ac9d8dc · outbound

This paper cites Autoregressive image generation without vec- tor quantization.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Autoregressive image generation without vec- tor quantization

Reference 25

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Observation 20ae4bd6-ef60-437c-a48b-dc5e2c5b267f · outbound

This paper cites Solving masked jigsaw puzzles with diffusion vision transformers.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Solving masked jigsaw puzzles with diffusion vision transformers

Reference 26

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Observation a1a122bf-4535-4b32-9d37-a4105e9df320 · outbound

This paper cites Compositional visual generation with composable diffusion models.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Compositional visual generation with composable diffusion models

Reference 27

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Observation f8d8081e-7d1f-45a1-afd2-82d0bc05528c · outbound

This paper cites Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling

Reference 28

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Observation fcc93088-f75c-440f-bb03-8c49eeb82308 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 29

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Observation 72dac2ef-880d-43fa-b7d8-70f5c52928e4 · outbound

This paper cites Decoupled weight decay regularization.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Decoupled weight decay regularization

Reference 30

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This paper cites Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 31

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RandAR: Decoder-only Autoregressive Visual Generation in Random Orders SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Reference 32

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This paper cites SPair-71k: A Large-scale Benchmark for Semantic Correspondence.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 33

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This paper cites Frozen transformers in language models are effective visual encoder layers.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Frozen transformers in language models are effective visual encoder layers

Reference 34

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Observation 97f7bf1b-d0b0-4959-8b12-67462b3240ad · outbound

This paper cites Scalable diffusion models with transformers.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Scalable diffusion models with transformers

Reference 35

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Observation 0c6de8c3-03be-464e-ab31-14228efbe09f · outbound

This paper cites Improving language understanding with unsuper- vised learning.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Improving language understanding with unsuper- vised learning

Reference 36

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Observation 975e1822-d382-4417-a6d4-ef4f3f8b8c90 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 37

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RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Zero-shot text-to-image generation

Reference 38

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

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders High-resolution image syn- thesis with latent diffusion models

Reference 39

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RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Improved techniques for training gans

Reference 40

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RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Stylegan- xl: Scaling stylegan to large diverse datasets

Reference 41

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RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Fast Transformer Decoding: One Write-Head is All You Need

Reference 42

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RandAR: Decoder-only Autoregressive Visual Generation in Random Orders GLU Variants Improve Transformer

Reference 43

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RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Roformer: Enhanced transformer with rotary position embedding

Reference 44

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RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 45

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RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Emergent correspondence from image diffusion

Reference 46

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Observation ca131411-23f8-4074-be28-6b45309a5220 · outbound

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

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 47

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RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:59:25.889731Z

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RandAR: Decoder-only Autoregressive Visual Generation in Random Orders LLaMA: Open and Efficient Foundation Language Models

Reference 49

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Observation 89cf2884-0138-4282-8e0b-56901a54fd09 · outbound

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RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 50

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RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Conditional image gener- ation with pixelcnn decoders

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:59:25.873253Z

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Observation a67632bb-dd5f-483a-ac65-821737662168 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Emu3: Next-Token Prediction is All You Need

Reference 52

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Observation 29d0aaa8-ee3c-46e0-8e1d-053cc75535aa · outbound

This paper cites MaskBit: Embedding-free Image Generation via Bit Tokens.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders MaskBit: Embedding-free Image Generation via Bit Tokens

Reference 53

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This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T00:59:25.371206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 542cd693-08a9-4a71-96b6-5c31441cc7e5 · outbound

This paper cites Carbonell, Ruslan Salakhutdinov, and Quoc V.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Carbonell, Ruslan Salakhutdinov, and Quoc V

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:59:25.857237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c7eef1a9-4f9b-4d0f-abc2-de68d5db00e4 · outbound

This paper cites Hauptmann, Ming- Hsuan Yang, Yuan Hao, Irfan Essa, and Lu Jiang.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Hauptmann, Ming- Hsuan Yang, Yuan Hao, Irfan Essa, and Lu Jiang

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:59:25.841749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e07626d1-3f9a-4f5a-aacb-01bbd74326b9 · outbound

This paper cites Gundavarapu, Luca Ver- sari, Kihyuk Sohn, David Minnen, Yong Cheng, Vigh- nesh Birodkar, Agrim Gupta, Xiuye Gu, Alexander G.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Gundavarapu, Luca Ver- sari, Kihyuk Sohn, David Minnen, Yong Cheng, Vigh- nesh Birodkar, Agrim Gupta, Xiuye Gu, Alexander G

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:59:25.827845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 11d35c07-54e1-4073-b671-49677b0bd2bc · outbound

This paper cites Randomized Autoregressive Visual Generation.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Randomized Autoregressive Visual Generation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T00:59:25.390186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12574538-3d3c-4a90-8811-9905b8c5d42d · outbound

This paper cites An Image is Worth 32 Tokens for Reconstruction and Generation.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders An Image is Worth 32 Tokens for Reconstruction and Generation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T00:59:25.395651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2172bc47-7d2d-4e63-b9c5-3698a664e082 · outbound

This paper cites Root mean square layer nor- malization.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Root mean square layer nor- malization

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:59:25.813031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2ec9d9f3-8f4f-4cfa-8f7c-e165de7eceda · outbound

This paper cites Diffcollage: Parallel generation of large content with diffusion models.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Diffcollage: Parallel generation of large content with diffusion models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:59:25.796755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7cb772d7-0cf5-428b-9ad4-d397889755bb · outbound

This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T00:59:25.409969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccf4e59b-30c0-4e24-b3aa-a7cec7ec1574 · outbound

This paper cites Segment everything everywhere all at once.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Segment everything everywhere all at once

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T00:59:25.414666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb101c33-a57e-426b-a811-8db9d33fe205 · outbound

This paper cites an unresolved cited work.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Unresolved cited work

Reference 2021

Resolution: parse uncertain; raw_fallback, observed 2026-08-12T00:59:26.220147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 8497c2e7-aec5-47d0-9107-97bf369deaa8 · inbound

Parallelized Autoregressive Visual Generation cites this paper.

Parallelized Autoregressive Visual Generation RandAR: Decoder-only Autoregressive Visual Generation in Random Orders

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:31.673489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 010df9a7-dbe2-4bbc-b694-a159ce69c75c · inbound

Next Patch Prediction for Autoregressive Visual Generation cites this paper.

Next Patch Prediction for Autoregressive Visual Generation RandAR: Decoder-only Autoregressive Visual Generation in Random Orders

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T11:37:42.079502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1669f754-baec-43be-9045-64374ce8370e · inbound

Multi-Token Prediction Needs Registers cites this paper.

Multi-Token Prediction Needs Registers RandAR: Decoder-only Autoregressive Visual Generation in Random Orders

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:14:53.270468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 0ae5fbaa-3b02-4ad4-8575-fff8645d06ac · inbound

Show-o2: Improved Native Unified Multimodal Models cites this paper.

Show-o2: Improved Native Unified Multimodal Models RandAR: Decoder-only Autoregressive Visual Generation in Random Orders

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-12T18:51:16.128174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cca9fb82-a167-4e17-b884-3f892ef85268 · inbound

Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture cites this paper.

Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture RandAR: Decoder-only Autoregressive Visual Generation in Random Orders

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T18:30:38.878855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf60b8b0-3048-4fb7-ba33-2c4190826b07 · 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 RandAR: Decoder-only Autoregressive Visual Generation in Random Orders

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:41.683560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84849d24-f5bc-423b-8b0c-b90328786bee · inbound

NeoBabel: A Multilingual Open Tower for Visual Generation cites this paper.

NeoBabel: A Multilingual Open Tower for Visual Generation RandAR: Decoder-only Autoregressive Visual Generation in Random Orders

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T19:15:28.641209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5da56636-ee7b-4ba6-bb5d-87f26279110c · inbound

Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization cites this paper.

Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization RandAR: Decoder-only Autoregressive Visual Generation in Random Orders

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T18:12:46.841576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b0a277a-a917-4d55-ac23-444304b2c952 · inbound

Progressive Checkerboards for Autoregressive Multiscale Image Generation cites this paper.

Progressive Checkerboards for Autoregressive Multiscale Image Generation RandAR: Decoder-only Autoregressive Visual Generation in Random Orders

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T04:53:11.993527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40e63fbb-a9ac-4482-96fc-fb4c1351a9b8 · inbound

Next-Dense-Stride Prediction for Multimodal Autoregressive Visual Modeling cites this paper.

Next-Dense-Stride Prediction for Multimodal Autoregressive Visual Modeling RandAR: Decoder-only Autoregressive Visual Generation in Random Orders

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-14T14:48:46.294893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.