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Paper Citation Record · LEDGER

Adversarial Error Correction for Visual Autoregressive Generation

As of 18 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2605.24843.

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

pith.paper-citation-record.v1
2605.24843 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T12:16:00.389285Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

  • verified exact10
  • verified fuzzy42
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 309fd53b-69bf-4dcd-8210-2e6b76fb187f · outbound

This paper cites Large-dit-imagenet.

Adversarial Error Correction for Visual Autoregressive Generation Large-dit-imagenet

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.325508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:1c5a7f1b140e0f4aaa801af8d56a2ec1b4789a255dd42609c747342b37dd04eb

Observation c55056c8-6455-444a-8719-4f01270031b9 · outbound

This paper cites Scheduled sampling for sequence prediction with recurrent neural networks.Advances in neural information processing systems, 28.

Adversarial Error Correction for Visual Autoregressive Generation Scheduled sampling for sequence prediction with recurrent neural networks.Advances in neural information processing systems, 28

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.330448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:533a0b7f4757194f161c76cbce523877233e6c749ec444d93cb7f8e19c6d161a

Observation 26f987a8-458a-4a04-8c4a-0d403417fa07 · outbound

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

Adversarial Error Correction for Visual Autoregressive Generation Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:34:39.155948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:db29c22d214d836fb2dd9c16d16936ca0ce670583b2cd4fc0867c6b9deb7f84c

Observation 17e647a9-17f0-4eb6-a056-d1ed5a8c4363 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901.

Adversarial Error Correction for Visual Autoregressive Generation Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.321741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:41706bbefb9e32022d1bcfbd9e64700f7201adb3540e2f299276faf86b7c9a43

Observation 7d2b4bcf-bcbd-4150-b716-ba8b5d456037 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Adversarial Error Correction for Visual Autoregressive Generation Emerging properties in self-supervised vision transformers

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.335041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:137e3d7c2792e10187c8aa938eabce64c82e09d8c114a2a6ced8c9dba674d5cc

Observation c88d307e-c28e-4e04-bba7-7631bd8752d0 · outbound

This paper cites Maskgit: Masked generative image transformer.

Adversarial Error Correction for Visual Autoregressive Generation Maskgit: Masked generative image transformer

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.338639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:42c23a4bf86ea4a04e37b5db313bf378ff7f1c344383a5f18fa9c33c3894765b

Observation 40e017cf-b2cb-46bb-a2bc-8dc824ec9d24 · outbound

This paper cites Tensorar: Refinement is all you need in autoregressive image generation.arXiv preprint arXiv:2505.16324, 2025.

Adversarial Error Correction for Visual Autoregressive Generation Tensorar: Refinement is all you need in autoregressive image generation.arXiv preprint arXiv:2505.16324, 2025

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:34:39.153524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:a0861498a0813dbd327fc3ab52b237bfb4c2afeb3258276d97ed21b79ae5241d

Observation aa9bf0a8-9031-4751-a171-f37a697d672f · outbound

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

Adversarial Error Correction for Visual Autoregressive Generation Imagenet: A large- scale hierarchical image database

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.271881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:06e822aa00242475e4825ee4894deff9f015f8826740cc1f21004ec4d4e83b36

Observation 7bee3fde-221f-41d9-88f5-aa06e5afeb44 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Adversarial Error Correction for Visual Autoregressive Generation Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.293211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:6cc65fdd106190b6f93a71e9b7af3e299761cf599e1fa516307da5db5fa848a1

Observation 59c2a8a1-9407-402c-a749-5c1dc14e7415 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Adversarial Error Correction for Visual Autoregressive Generation Diffusion models beat gans on image synthesis

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.275760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:a507ba31fcb1271c22878f45da8893b4e3e66490598d37fefc8d501953237cbe

Observation 56dd63b3-c098-4912-a9f8-7335ee3162ba · outbound

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

Adversarial Error Correction for Visual Autoregressive Generation Taming transformers for high-resolution image synthesis

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.282567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:6e1370057cea46dd77a1b390f9ebfce439ce45b89e018a89ab104b168326b622

Observation 23f57fab-b7b9-44d2-b1aa-752a08897220 · outbound

This paper cites Generative adversarial nets.Advances in neural information processing systems, 27.

Adversarial Error Correction for Visual Autoregressive Generation Generative adversarial nets.Advances in neural information processing systems, 27

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.297923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:be05723858d4509476993553d10aa4bb9f4f81c5825c1fb8c1962f0bdcc56fc4

Observation de958602-ee97-4506-88cb-163c83536dc6 · outbound

This paper cites Quantifying exposure bias for open-ended language generation.

Adversarial Error Correction for Visual Autoregressive Generation Quantifying exposure bias for open-ended language generation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.254764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:15f4aa5371e7c4f7646da29a902a6fb514557a737cfaf56758a153c8c1b521ea

Observation 95a72858-1b2a-4621-8f52-c9da4efb92e3 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30.

Adversarial Error Correction for Visual Autoregressive Generation Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.279017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:6ba929c182fbf9afb1c4e344193ea662b3098b2dac04ac601a121b7aa1085f58

Observation 6dc9dae4-6eef-4922-bc3c-d8f35a41ffd6 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Adversarial Error Correction for Visual Autoregressive Generation Classifier-Free Diffusion Guidance

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:34:39.158154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:ad8252562719660ef617ec2c7cf6bc32857ff984d8e7649904b59fd27386bbc0

Observation 7a2863bb-fb47-45e3-94af-568224bb3de4 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

Adversarial Error Correction for Visual Autoregressive Generation Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.263986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:a2bd083373ea7d1e46dde69fa6d51224924e25b5c231640337e2eb261d4fb31a

Observation aee092cd-bc4f-4cee-bd35-c97bebbf27ef · outbound

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

Adversarial Error Correction for Visual Autoregressive Generation Scaling up gans for text-to-image synthesis

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.233719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:fe2251789c894fcb496c6d7d1c3ef7003ab4d3e257ead6db76e772f2ec2f9442

Observation 5c7ca6a6-36ff-4676-9bc6-f55c3bfdaa8c · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Adversarial Error Correction for Visual Autoregressive Generation A style-based generator architecture for generative adversarial networks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.251858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:f45a95d9370770574c4342a97962e097b3a15ae04e749d92b4d387b33c043f4e

Observation a1d87ba8-880c-4ea3-bfad-34f72a94e48b · outbound

This paper cites Alias-free generative adversarial networks.Advances in neural information processing systems, 34:852–863, 2021.

Adversarial Error Correction for Visual Autoregressive Generation Alias-free generative adversarial networks.Advances in neural information processing systems, 34:852–863, 2021

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.260713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:323c90bc6ec1770612ee10cea16dbe7760e41cda4dda9e0517545d7d595dd0c1

Observation 6c2cc38f-1a33-4d69-85f2-8cd7f26a71f3 · outbound

This paper cites Improved precision and recall metric for assessing generative models.Advances in neural information processing systems, 32.

Adversarial Error Correction for Visual Autoregressive Generation Improved precision and recall metric for assessing generative models.Advances in neural information processing systems, 32

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.297498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:19ca23eb40a7b7f522d3de137e7b2b49cabd37b03cfb30ce46936710ab64cb53

Observation 0914ee89-6ac2-4240-9122-744e5b7b9ec3 · outbound

This paper cites Autoregressive image generation using residual quantization.

Adversarial Error Correction for Visual Autoregressive Generation Autoregressive image generation using residual quantization

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.314348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:f0216afe51e61a26b661ae1f16020db0f90f92dd73a83d7115d75225961e31ac

Observation bbe93901-3864-4f41-894f-76b143c50e2d · outbound

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

Adversarial Error Correction for Visual Autoregressive Generation Mage: Masked generative encoder to unify representation learning and image synthesis

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.257922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:a1a86a4100752762d93fe8bfd9d383f97a7546793edc96f768137edf7c607b0c

Observation 4ce8add5-76e7-43e1-b88c-f693ce3daeaf · outbound

This paper cites Autoregressive image generation without vector quantization.Advances in Neural Information Processing Systems, 37:56424–56445.

Adversarial Error Correction for Visual Autoregressive Generation Autoregressive image generation without vector quantization.Advances in Neural Information Processing Systems, 37:56424–56445

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.212926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:a1e0b7446d7571d7badd9d71a8229f85d517754eaf182f670593e9e95371938c

Observation b6ee35c1-d6c4-4c2b-a363-9852b9224a11 · outbound

This paper cites Geometric GAN.

Adversarial Error Correction for Visual Autoregressive Generation Geometric GAN

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:34:39.148501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:fa3e5c7b54854a5495cf31dadadfe53ba24ef048223d333bb6425446f3101fc4

Observation 394385dc-1869-4eaf-a207-adf3b99c474a · outbound

This paper cites Spot the error: Non-autoregressive graphic layout generation with wireframe locator.

Adversarial Error Correction for Visual Autoregressive Generation Spot the error: Non-autoregressive graphic layout generation with wireframe locator

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.294456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:c60844cab64032d48a5228c64d04a3de24a06acf1c7ff90fdcb53cb19e6928d9

Observation a6e20c29-fe48-4197-b4c6-0074ea0d2376 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in neural information processing systems, 35:5775–5787.

Adversarial Error Correction for Visual Autoregressive Generation Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in neural information processing systems, 35:5775–5787

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.303845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:e115616c59ec7f7c43d80788b139253af99505b0350e6fcdcfcde65b35855f9c

Observation a00d488b-b050-400e-bd9c-641fce564fed · outbound

This paper cites Defining error accumulation in ML atmospheric simulators.

Adversarial Error Correction for Visual Autoregressive Generation Defining error accumulation in ML atmospheric simulators

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:34:39.140427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:268ce5d9314e7d6d01d0596d407032553ba5aa36bd53c13ce4cf1746e3278de9

Observation a3e1b58c-61f6-4183-a0ef-7f2d59653bac · outbound

This paper cites Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation.

Adversarial Error Correction for Visual Autoregressive Generation Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:34:39.145677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:c6b81e3d5bcb2e277bb2f192fdb31ed6d7c341b8b58f7b35e3628b136a4a904f

Observation edbe4f82-e006-49b2-b565-94fcbaa55a50 · outbound

This paper cites Scalable diffusion models with transformers.

Adversarial Error Correction for Visual Autoregressive Generation Scalable diffusion models with transformers

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.188065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:669c85fe32757a56027ad9db8aa20047a1945c00614e55cc5d298316400d4455

Observation 1aaf9b1d-f5a4-40dd-ac13-f714a6bb8cb4 · outbound

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

Adversarial Error Correction for Visual Autoregressive Generation Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:34:39.151073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:85381252bb538292843f0e9115608e26d1746bf46ad522fb2bbd413e0c4c3e0e

Observation 29fa509a-062d-4c1e-99ec-35e4444e9aeb · outbound

This paper cites Improving language understanding by generative pre-training.

Adversarial Error Correction for Visual Autoregressive Generation Improving language understanding by generative pre-training

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.185542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:574d1fc5abe68827b9fd222c4c956cdb9b1635250b734d2728394845782c187f

Observation 66ae889e-6cc5-49f4-b572-91ded4738abe · outbound

This paper cites Learning transferable visual models from natural language supervision.

Adversarial Error Correction for Visual Autoregressive Generation Learning transferable visual models from natural language supervision

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.282224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:2ec4cb9afa1177a7f81f11db591cf5a08b699fe7eaefab698433fef2564f7a4b

Observation d176abe8-4bf6-45ad-ae86-fc1d6c8cb078 · outbound

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

Adversarial Error Correction for Visual Autoregressive Generation Zero-shot text-to-image generation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.229681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:732127c8b3d47bf40de6986407fd91c861bec4119f5563b9183677ef6089a18f

Observation 6fde8749-a543-4477-82e0-dd672b1c5532 · outbound

This paper cites Sequence Level Training with Recurrent Neural Networks.

Adversarial Error Correction for Visual Autoregressive Generation Sequence Level Training with Recurrent Neural Networks

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:34:39.135426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:fe7cc7f6ef516379c14f82de294d280cda4601270d11c7d0a169551e97b4766e

Observation ddd8313e-63a6-4680-9b6b-c2a1a6f10091 · outbound

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

Adversarial Error Correction for Visual Autoregressive Generation High- resolution image synthesis with latent diffusion models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.210036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:ba30c60d2b1a83c628638f61659282e600c43df87a8e315a3f158c41747ef2fb

Observation dc291d12-836b-4cfd-b328-013ff93d81a9 · outbound

This paper cites As- sessing generative models via precision and recall.Advances in neural information processing systems, 31, 2018.

Adversarial Error Correction for Visual Autoregressive Generation As- sessing generative models via precision and recall.Advances in neural information processing systems, 31, 2018

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.197417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:41bb6c34771096ea39306ae1b87b4ec0942b6ea5d1eb96f3dbb1c077a1b55d52

Observation e7360d2a-910c-449f-af33-478c8c952c57 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Adversarial Error Correction for Visual Autoregressive Generation Progressive Distillation for Fast Sampling of Diffusion Models

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:34:39.133056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:82da22f072afab36d1c356ea70e5fcdafa448a5676ec416863ded90fdd6c8394

Observation 39964e7a-6419-4531-8ea2-14e45dfe3266 · outbound

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

Adversarial Error Correction for Visual Autoregressive Generation Improved techniques for training gans.Advances in neural information processing systems, 29

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.279221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:eaa279b88458436e5ce43a89f655b698e73ded2d0cda1d283b7b2cc05774ee86

Observation 2c4fb0ec-378b-41d6-9a01-bcddd0668716 · outbound

This paper cites Projected gans converge faster.

Adversarial Error Correction for Visual Autoregressive Generation Projected gans converge faster

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.289846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:d290c0b3fceff09e4cf11c55909b96b1e8f15aab54a9cc2f6ce2c44ecd476620

Observation 3a8487d0-4e10-4c74-be16-1475c3b7ca9c · outbound

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

Adversarial Error Correction for Visual Autoregressive Generation Stylegan-xl: Scaling stylegan to large diverse datasets

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.318374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:32566845042de80b6deea7c6dacf96f60951e198fe01eb2b1bd5fcf18752ab4d

Observation b84603c9-e5d4-497b-9151-f75f0950f034 · outbound

This paper cites Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis.

Adversarial Error Correction for Visual Autoregressive Generation Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.248554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:9dbb6fbe7ffdb5d714f2f36ccd767ae1775d72b0b5464090d94e16381e0263d9

Observation 45e10aaf-4157-48b8-a7e4-4efc951179ef · outbound

This paper cites Adversarial diffusion distillation.

Adversarial Error Correction for Visual Autoregressive Generation Adversarial diffusion distillation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.243090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:d6ffb6319ff0b61156b9594e828d150b5633db586e8fa098dfcb0516a13fa34d

Observation 3ccd7d67-ca36-4159-a75b-880797225553 · outbound

This paper cites Generalization in generation: A closer look at exposure bias.

Adversarial Error Correction for Visual Autoregressive Generation Generalization in generation: A closer look at exposure bias

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.261023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:53f9361cf9575ef5afa9907012810378a0a967577d07cc1d8a666f09f29fac0e

Observation efa3addb-ccb3-4335-b5aa-f93251c64d48 · outbound

This paper cites Denoising Diffusion Implicit Models.

Adversarial Error Correction for Visual Autoregressive Generation Denoising Diffusion Implicit Models

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:34:39.130528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:4c3a83246375f3074de6c725f30e09c339a20c4f718d846c1458456e7c484134

Observation 33dc5c08-5565-4d8f-ac78-7c39457b833d · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865.

Adversarial Error Correction for Visual Autoregressive Generation Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.272611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:4834877633445ff3929ffd3b3b1affb3042e3d3ce73d3b17f45fb3754dde1d30

Observation 11607b9b-2d0e-4aa8-bd09-7d7c738771bf · outbound

This paper cites Givt: Generative infinite-vocabulary transformers.

Adversarial Error Correction for Visual Autoregressive Generation Givt: Generative infinite-vocabulary transformers

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.206717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:9215c3bb971dfb8c518500843801e3988ce5d0bcb2983da151a58d7910b48890

Observation 369c9aa2-d19f-4ec0-bd9e-129c7b7121aa · outbound

This paper cites Con- ditional image generation with pixelcnn decoders.Advances in neural information processing systems, 29.

Adversarial Error Correction for Visual Autoregressive Generation Con- ditional image generation with pixelcnn decoders.Advances in neural information processing systems, 29

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.287098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:d7d108d3ae21c30d5d4bebbf0ee0eddc52378f06d27292e7595f4e894ffd0933

Observation 307c7d4a-4e21-4d9a-a280-10b7f90209e4 · outbound

This paper cites Pixel recurrent neural networks.

Adversarial Error Correction for Visual Autoregressive Generation Pixel recurrent neural networks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.276085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:fc08aa6c3ce964a3e7deaecf98131c84ba4dda3b223babc3c4cdc6104a78b38b

Observation 0a5bb80e-6ad7-4c5b-90f6-42218cb514f9 · outbound

This paper cites Neural discrete representation learning.Advances in neural information processing systems, 30.

Adversarial Error Correction for Visual Autoregressive Generation Neural discrete representation learning.Advances in neural information processing systems, 30

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.206931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:4ad6d9961e53326c8ee7670ed06572401b5c893d93e26f377bf8242e7d01ae75

Observation 12e5e2f7-259c-4fbe-9c22-7a2fec0b4cec · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30.

Adversarial Error Correction for Visual Autoregressive Generation Attention is all you need.Advances in neural information processing systems, 30

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.215185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:63daae7fcedf5934f31205e9a1f1f8127c4526d703533fe3325ecbcab3313ced

Observation 11cdcb6f-30f7-43ea-ac09-1690b70c51b6 · outbound

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

Adversarial Error Correction for Visual Autoregressive Generation Vector-quantized Image Modeling with Improved VQGAN

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:34:39.137737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:38428087b2344052d905fa32e25c895996503ab21b39e1e5e14729f98c56dd2a

Observation f0f92f61-41a4-4b7e-afc6-f001c14489c7 · outbound

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

Adversarial Error Correction for Visual Autoregressive Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:34:39.128301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:ad6b54b4b1c82ba95e8950570c79e28db757b3cf1744a5a6b030f321e2e32dd2

Observation 7bb67d11-5221-453f-802f-b3079dc79359 · outbound

This paper cites Magvit: Masked generative video transformer.

Adversarial Error Correction for Visual Autoregressive Generation Magvit: Masked generative video transformer

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.268464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:055d24f7cb83d529fd12b8295e1471e654ec7eba24fb02e3bdfeac300ba9a156

Observation fb83dac5-983c-4a56-8eb7-9acc813dd44a · outbound

This paper cites golden retriever.

Adversarial Error Correction for Visual Autoregressive Generation golden retriever

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:34:39.125786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:d81e9cccf85cfe5e3d459678a4da5534ddb28ef3576d0dd84667475364e579f1

Observation 4b1a70ee-b61f-4b3c-a2b2-6ccb36fc2dec · outbound

This paper cites partially.

Adversarial Error Correction for Visual Autoregressive Generation partially

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T06:36:03.224121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:07ec64eccf1299e60756a6014ac4b37dfbfb718ad3ab05282c3fb57764d06958

Observation 61c64a45-edf1-4112-8476-22737ce00d7f · outbound

This paper cites an unresolved cited work.

Adversarial Error Correction for Visual Autoregressive Generation Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-07-09T06:36:03.212685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:9718079aa43375b5e9eb6a7fa6007155e2ad3d8145c05820803e31af8d316de8

Observation bfa99104-39c9-4084-810d-e6a7470adfd5 · outbound

This paper cites Real vs. Fake Accuracy.

Adversarial Error Correction for Visual Autoregressive Generation Real vs. Fake Accuracy

Reference 57

Resolution
malformed identifier
raw_fallback, observed 2026-07-09T06:36:03.307874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:ce2da87b8edf49bfb60764466c6f77c98ae94fe6416bc18e790c3d2baaeea6a5

Pith citing papers

No inbound Pith citation observations are available.