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Paper Citation Record · LEDGER

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction

As of 8 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2510.06928.

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pith.paper-citation-record.v1
2510.06928 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

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measured 57 of 57 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

57 of 57 outbound references displayed

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Outbound references

Observation 049e532f-322e-46a0-9149-4b3ca1dcc867 · outbound

This paper cites Denoising diffusion probabilistic models,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Denoising diffusion probabilistic models,

Reference 1

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Observation 817fc176-9f49-44dd-8b3b-cb063ec2393f · outbound

This paper cites Generative adversarial networks,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Generative adversarial networks,

Reference 2

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Observation fc6d9cc3-8c20-474c-a676-7d08bceea912 · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 3

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Observation 2e6ea523-e037-4a4f-aff3-18cdda40f4bb · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Visual autoregressive modeling: Scalable image generation via next-scale prediction,

Reference 4

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Observation 381eadbb-4f8c-4b4c-82b0-ccaa6ede6780 · outbound

This paper cites Maskgit: Masked generative image transformer,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Maskgit: Masked generative image transformer,

Reference 5

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Observation 5a085bde-fa9e-46be-82c3-6fa89a314576 · outbound

This paper cites Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis

Reference 6

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Observation c0d69211-7e13-4d99-8f49-3c55d52e8b1f · outbound

This paper cites Language models are unsupervised multitask learners,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Language models are unsupervised multitask learners,

Reference 7

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Observation 141fef8d-5b33-4383-83b1-5affbc034a69 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 8

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Observation 73bd5896-2478-4386-a3d0-946df4c9c1c6 · outbound

This paper cites Improving autoregressive visual generation with cluster- oriented token prediction,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Improving autoregressive visual generation with cluster- oriented token prediction,

Reference 9

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Observation 74c07eca-867c-4cd3-a99d-5d2cacdbc4e2 · outbound

This paper cites Neural discrete representation learning,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Neural discrete representation learning,

Reference 10

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Observation 4d902f05-6f1a-413c-964a-abaab4025f38 · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Taming transformers for high-resolution image synthesis,

Reference 11

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Observation c59bdd39-6e8e-4d3b-b20b-5de37ae60c6b · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Vector-quantized Image Modeling with Improved VQGAN

Reference 12

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Observation d7de1890-d585-4e75-bf32-b7df17ec1747 · outbound

This paper cites Autoregressive image generation using residual quantization,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Autoregressive image generation using residual quantization,

Reference 13

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Observation 2400ffc2-4e56-4b21-8087-6ff3ed36557e · outbound

This paper cites Factorized Visual Tokenization and Generation.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Factorized Visual Tokenization and Generation

Reference 14

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Observation 8bc022df-8025-437d-83e4-13865dcab879 · outbound

This paper cites Unitok: A unified tokenizer for visual generation and understanding,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Unitok: A unified tokenizer for visual generation and understanding,

Reference 15

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Observation fcf17e71-158a-43e9-9532-e21e9ff67449 · outbound

This paper cites Tokenflow: Unified image tokenizer for multimodal understanding and generation,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Tokenflow: Unified image tokenizer for multimodal understanding and generation,

Reference 16

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Observation dbf25c43-b95b-49e3-9629-48b7949e0184 · outbound

This paper cites Magvit: Masked generative video transformer,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Magvit: Masked generative video transformer,

Reference 17

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Observation e4be6a38-5275-463f-bdea-3801fea22e07 · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 18

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Observation 1cd94d0a-20d1-43da-9808-d94a8aaace40 · outbound

This paper cites DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies

Reference 19

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Observation d2b1ef64-4928-4254-bae3-e9df120c4756 · outbound

This paper cites Conditional Generative Adversarial Nets.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Conditional Generative Adversarial Nets

Reference 20

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Observation a99e9f13-352a-4056-a186-8e662886d8eb · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 21

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Observation b4357031-547e-4ee6-aa1d-c2bc99a4a801 · outbound

This paper cites Improved techniques for training gans,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Improved techniques for training gans,

Reference 22

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Observation c3006ce8-63a8-41ee-8724-1a73aebd4b21 · outbound

This paper cites Image-to-image translation with conditional adversarial networks,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Image-to-image translation with conditional adversarial networks,

Reference 23

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Observation 092b3bfd-0ff3-45e4-b28e-40d641a9dde5 · outbound

This paper cites Unpaired image-to- image translation using cycle-consistent adversarial networks,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Unpaired image-to- image translation using cycle-consistent adversarial networks,

Reference 24

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Observation 8c98fdfb-c6b6-48e2-bdb7-499590fe307a · outbound

This paper cites A style-based generator archi- tecture for generative adversarial networks,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction A style-based generator archi- tecture for generative adversarial networks,

Reference 25

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Observation 6c2103d3-d86c-4730-ab43-f127b5b51517 · outbound

This paper cites Denoising diffusion probabilistic models,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Denoising diffusion probabilistic models,

Reference 26

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Observation d37b2c90-e42a-4876-8925-beecaa522797 · outbound

This paper cites Improved denoising diffusion probabilistic models,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Improved denoising diffusion probabilistic models,

Reference 27

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Observation 69cc972d-34fe-4598-9dd2-29c50472995a · outbound

This paper cites Denoising Diffusion Implicit Models.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Denoising Diffusion Implicit Models

Reference 28

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Observation e0ab263b-f96f-4207-b143-523d59cbbf59 · outbound

This paper cites Diffusion models beat gans on image synthesis,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Diffusion models beat gans on image synthesis,

Reference 29

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Observation 8059375d-323a-4a5b-a22a-22e20179b6eb · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Photorealistic text-to-image diffusion models with deep language understanding,

Reference 30

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Observation e0addd0a-fb11-453f-8e64-068b52f13a65 · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction High-resolution image synthesis with latent diffusion models,

Reference 31

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Observation 446dc884-0c04-4bea-9fb6-69cfff0f61f9 · outbound

This paper cites GPT-4 Technical Report.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction GPT-4 Technical Report

Reference 32

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Observation 201511b3-627a-4413-a899-39a702aa962b · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Zero-shot text-to-image generation,

Reference 33

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Observation 1c0875f4-5e9b-44e3-b2cb-6dfe9f159174 · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 34

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Observation 3af00f49-1437-462d-b75b-f8ec10a8c087 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction LLaMA: Open and Efficient Foundation Language Models

Reference 35

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Observation 137b03ea-6317-4dde-8497-24c62edf34f4 · outbound

This paper cites Maskgit: Masked generative image transformer,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Maskgit: Masked generative image transformer,

Reference 36

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Observation 5b9524c7-760c-40a4-b39b-46c5de90dd0f · outbound

This paper cites Muse: Text-To-Image Generation via Masked Generative Transformers.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Muse: Text-To-Image Generation via Masked Generative Transformers

Reference 37

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Observation ed0b44ed-8e16-4de4-b403-31258fdda2e3 · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 38

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Observation 84a294b4-809a-4dc0-8c1a-ffc9b8121f82 · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Taming transformers for high-resolution image synthesis,

Reference 39

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Observation 19a32505-eb1f-4aee-9915-60d2abf49c0a · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction The unreasonable effectiveness of deep features as a perceptual metric,

Reference 40

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Observation ced8aee8-81e9-4dae-988f-d6370fe23285 · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Imagenet: A large-scale hierarchical image database,

Reference 41

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Observation c20957e1-e251-468c-a243-c0cb5cfe5472 · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 42

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Observation 25664f64-3df2-4c82-8da6-723bdf38c6d7 · outbound

This paper cites Improved techniques for training gans,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Improved techniques for training gans,

Reference 43

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Observation c19836a4-bdd3-402a-8527-fdecc91f943a · outbound

This paper cites Improved precision and recall metric for assessing generative models,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Improved precision and recall metric for assessing generative models,

Reference 44

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Observation 1a3f05f8-1d4a-4865-bf52-35b27eb85039 · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 45

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Observation cbb8200f-8e06-4c83-8a57-35b14393a5fa · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Scaling up gans for text-to-image synthesis,

Reference 46

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Observation 0b47daef-fd94-4808-b910-d215bafb59ea · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Stylegan-xl: Scaling stylegan to large diverse datasets,

Reference 47

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Observation 8dafaa0f-355e-488e-addd-7fd7fe875638 · outbound

This paper cites Diffusion models beat gans on image synthesis,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Diffusion models beat gans on image synthesis,

Reference 48

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Observation 5b12bb73-fe92-415b-976c-136c7bd1e58d · outbound

This paper cites Cascaded diffusion models for high fidelity image generation,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Cascaded diffusion models for high fidelity image generation,

Reference 49

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Observation 519013a7-8363-4b70-ac48-d88bddf7a157 · outbound

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

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction High-resolution image synthesis with latent diffusion models,

Reference 50

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Observation 0f77ae0a-6dde-4096-9966-1c126c8eb854 · outbound

This paper cites Scalable diffusion models with transform- ers,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Scalable diffusion models with transform- ers,

Reference 51

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Observation 1a434572-3206-4f60-8afb-ff5335379d42 · outbound

This paper cites Vector-quantized image modeling with improved vqgan,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Vector-quantized image modeling with improved vqgan,

Reference 52

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source=pdf_text observed=2026-08-04T11:08:04.359012Z digest=sha256:7a3ce10f06c68eb6efd7f2be1d42b45862dba90dda003c07098c703abab13a0e

Observation d36aaa9c-ee82-427a-ba0f-7ee6494dbf8e · outbound

This paper cites Autoregressive image generation using residual quantization,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Autoregressive image generation using residual quantization,

Reference 53

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Observation 80e58c32-d972-4274-bc27-275e71a2ebe5 · outbound

This paper cites Min- ing top-k frequent itemsets through progressive sampling,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Min- ing top-k frequent itemsets through progressive sampling,

Reference 54

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Observation 6b0eb96c-f1e1-4e55-8433-38883a9593d8 · outbound

This paper cites The curious case of neural text degeneration,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction The curious case of neural text degeneration,

Reference 55

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source=pdf_text observed=2026-08-04T11:08:04.839950Z digest=sha256:61a8222f4d14427ccd9c09f74ee965a68ba26de442e8319f8636b06f3bc434e2

Observation c69697e7-4a6a-494f-80a9-e67315609030 · outbound

This paper cites A learning algorithm for boltzmann machines,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction A learning algorithm for boltzmann machines,

Reference 56

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Observation bcc94a5e-70b7-41c4-b80b-063ef30bb31f · outbound

This paper cites Synthetic literature: Writing science fiction in a co-creative process,.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Synthetic literature: Writing science fiction in a co-creative process,

Reference 57

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