Paper Citation Record · LEDGER

Multi-scale Image Super Resolution with a Single Auto-Regressive Model

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.04990.

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

pith.paper-citation-record.v1
2506.04990 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:38:37.848083Z

measured 44 of 44 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

44 of 44 outbound references displayed

verified exact1
verified fuzzy36
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fc60b008-3227-474d-a881-f80d0d164a27 · outbound

This paper cites NTIRE 2017 challenge on single image super-resolution: Dataset and study.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model NTIRE 2017 challenge on single image super-resolution: Dataset and study

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:44.362186Z

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.

Observation 692e1a4a-499a-4824-ad53-64a5bd10db15 · outbound

This paper cites Toward real-world single image super-resolution: A new benchmark and a new model.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Toward real-world single image super-resolution: A new benchmark and a new model

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:44.167195Z

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.

Observation e05587cb-cb12-43b2-8f32-5a041d807cc4 · outbound

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

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Imagenet: A large-scale hierarchical image database

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:43.957988Z

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.

Observation 9bdec5c1-ef96-41d2-9c7e-6d90e7b25264 · outbound

This paper cites Learning a deep convolutional network for image super-resolution.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Learning a deep convolutional network for image super-resolution

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:43.753902Z

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.

Observation 10d75eff-9387-48c3-9bed-f57dd1510480 · outbound

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

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Taming transformers for high-resolution image synthesis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:43.574056Z

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.

Observation 99f372a1-3eae-4cfd-aeb9-928f618bc96a · outbound

This paper cites Fluid: Scaling autoregressive text-to-image generative models with continuous tokens.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Fluid: Scaling autoregressive text-to-image generative models with continuous tokens

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:43.387485Z

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.

Observation fd1d58c0-9587-45a1-9441-0e29580fa663 · outbound

This paper cites an unresolved cited work.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:38:43.202347Z

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.

Observation 28920bf1-fcaf-49ed-aff0-6b355d78c024 · outbound

This paper cites Image processing using multi-code GAN prior.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Image processing using multi-code GAN prior

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:43.024051Z

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.

Observation 8ee2d418-483b-40ad-bb64-82fef577fbc7 · outbound

This paper cites DIV8K: DIVerse 8K resolution image dataset.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model DIV8K: DIVerse 8K resolution image dataset

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:42.898531Z

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.

Observation 94f1ccae-062e-4451-8751-aa6453d96b03 · outbound

This paper cites Infinity: Scaling bitwise autoregressive modeling for high-resolution image synthesis.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Infinity: Scaling bitwise autoregressive modeling for high-resolution image synthesis

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:42.741665Z

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.

Observation aaf04233-051f-4f6b-996e-f8139540ffbd · outbound

This paper cites Improving autoregressive visual generation with cluster-oriented token prediction, 2025.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Improving autoregressive visual generation with cluster-oriented token prediction, 2025

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:42.559452Z

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.

Observation 4a02e10d-1fb5-42ab-9bbe-c4e75df8424a · outbound

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

Multi-scale Image Super Resolution with a Single Auto-Regressive Model A style-based generator architecture for generative adversarial networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:42.418693Z

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.

Observation 5c067853-b986-429e-b936-b7bf2101b441 · outbound

This paper cites Accurate image super-resolution using very deep convolutional networks.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Accurate image super-resolution using very deep convolutional networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:42.237941Z

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.

Observation a465b1a3-d3ca-4973-952c-1511280ca8c7 · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.International Journal on Computer Vision, 2020.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.International Journal on Computer Vision, 2020

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:42.114104Z

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.

Observation 334b3e79-d161-4449-9cea-47a40e324be4 · outbound

This paper cites Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, and Wenzhe Shi.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, and Wenzhe Shi

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:41.983892Z

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.

Observation 9085b792-b361-4e9c-8f20-ffdf1509d5ce · outbound

This paper cites Autoregressive image generation using residual quantization.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Autoregressive image generation using residual quantization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:41.789161Z

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.

Observation 4be3b869-0df0-459e-b152-4a64592c8758 · outbound

This paper cites Autoregressive image generation without vector quantization.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Autoregressive image generation without vector quantization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:41.580503Z

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.

Observation edceeb6d-2669-4056-8dfc-e7be37548926 · outbound

This paper cites SwinIR: Image Restoration Using Swin Transformer.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model SwinIR: Image Restoration Using Swin Transformer

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:38:35.718919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e41d73f-07c8-4260-a068-34ec75e18f69 · outbound

This paper cites Blind Image Super-Resolution: A Survey and Beyond.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Blind Image Super-Resolution: A Survey and Beyond

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:38:38.072956Z

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.

Observation 63aefebb-d8f7-4cbf-befe-1aca127826b4 · outbound

This paper cites Decoupled weight decay regularization.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Decoupled weight decay regularization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:41.414611Z

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.

Observation 4f9cc1ac-3818-4b49-a184-d21d45b7c641 · outbound

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

Multi-scale Image Super Resolution with a Single Auto-Regressive Model STAR: Scale-wise Text-conditioned AutoRegressive image generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:38:36.050778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4876a919-c063-4974-a027-5ae108828f38 · outbound

This paper cites CoDi: Conditional diffusion distillation for higher-fidelity and faster image generation.IEEE Conference on Computer Vision and Pattern Recognition, 2024.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model CoDi: Conditional diffusion distillation for higher-fidelity and faster image generation.IEEE Conference on Computer Vision and Pattern Recognition, 2024

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:41.231825Z

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.

Observation 576c49a2-a44e-4b26-8673-5d07567b9884 · outbound

This paper cites Edge-sd-sr: Low latency and parameter efficient on-device super-resolution with stable diffusion via bidirectional conditioning.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Edge-sd-sr: Low latency and parameter efficient on-device super-resolution with stable diffusion via bidirectional conditioning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:41.089855Z

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.

Observation a9ee2ffa-8902-4d09-9ee1-5505225b13f7 · outbound

This paper cites You only need one step: Fast super-resolution with stable diffusion via scale distillation.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model You only need one step: Fast super-resolution with stable diffusion via scale distillation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:40.915159Z

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.

Observation 993382de-01f0-476f-87cf-7cae32f9dc85 · outbound

This paper cites Visual autoregressive modeling for image super-resolution.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Visual autoregressive modeling for image super-resolution

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:40.779013Z

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.

Observation bac1b9d4-864e-4e17-8906-ef252b04c635 · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:38:36.431652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dfafc7c-993d-4666-938a-7e5fce87e7e5 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Direct preference optimization: Your language model is secretly a reward model

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:40.556992Z

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.

Observation 638617a2-9daa-4c4f-842e-25b6822afee7 · outbound

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

Multi-scale Image Super Resolution with a Single Auto-Regressive Model High-resolution image synthesis with latent diffusion models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:38:36.603295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f31078a8-042e-433d-a670-5728d85ef7da · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 2024.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 2024

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:38:36.684106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 298054c0-c1be-46cc-a464-e42b78e1c81a · outbound

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

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:38:36.744542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc9da0eb-d5a1-4474-a74f-8c0b43e337ec · outbound

This paper cites HART: efficient visual generation with hybrid autoregressive transformer.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model HART: efficient visual generation with hybrid autoregressive transformer

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:40.293850Z

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.

Observation 78a20c83-0ea5-4e0a-9b4a-88d0c477155f · outbound

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

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:40.139388Z

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.

Observation 6a6e67b7-04a4-4033-9db0-c79fa29a2278 · outbound

This paper cites NTIRE 2017 challenge on single image super-resolution: Methods and results.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model NTIRE 2017 challenge on single image super-resolution: Methods and results

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:39.936266Z

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.

Observation 454ff3aa-80dd-4461-968e-41c8a22b280d · outbound

This paper cites Neural discrete representation learning.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Neural discrete representation learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:39.772953Z

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.

Observation 65144d90-1d57-40ee-8f69-fcb62ad3f305 · outbound

This paper cites Switti: Designing scale-wise transformers for text-to-image synthesis.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Switti: Designing scale-wise transformers for text-to-image synthesis

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:39.561737Z

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.

Observation c348d302-11d8-4ae1-ad89-c9c4eee43656 · outbound

This paper cites Chan, and Chen Change Loy.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Chan, and Chen Change Loy

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:39.403440Z

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.

Observation c4e06933-293f-4170-9728-297d45c380a9 · outbound

This paper cites Real-ESRGAN: Training real-world blind super- resolution with pure synthetic data.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Real-ESRGAN: Training real-world blind super- resolution with pure synthetic data

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:39.238739Z

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.

Observation 103fa955-f0da-4b47-bb73-8d36b7b71a1e · outbound

This paper cites Recovering realistic texture in image super- resolution by deep spatial feature transform.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Recovering realistic texture in image super- resolution by deep spatial feature transform

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:39.116048Z

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.

Observation bf3f3e3d-b3d1-4bd3-9c26-ca604b458210 · outbound

This paper cites Deep networks for image super-resolution with sparse prior.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Deep networks for image super-resolution with sparse prior

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:38.961884Z

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.

Observation 8329bc18-6daf-40b3-9685-ebad30105d0f · outbound

This paper cites Component divide-and-conquer for real-world image super-resolution.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Component divide-and-conquer for real-world image super-resolution

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:38.795328Z

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.

Observation 29c66a64-b055-43ea-8b2e-e2eb1f29c043 · outbound

This paper cites Resshift: Efficient diffusion model for image super-resolution by residual shifting.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Resshift: Efficient diffusion model for image super-resolution by residual shifting

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:38.658115Z

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.

Observation a990dd26-fbb0-4a6f-9148-3f5025eb66cb · outbound

This paper cites Designing a practical degradation model for deep blind image super-resolution.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Designing a practical degradation model for deep blind image super-resolution

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:38.507956Z

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.

Observation 5d2846f2-6a24-4218-9c8f-61fa3b46e8f0 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Multi-scale Image Super Resolution with a Single Auto-Regressive Model Adding conditional control to text-to-image diffusion models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:38.327559Z

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.

Observation f40574b5-bd3a-4f02-8411-ea7fe7c0127f · outbound

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

Multi-scale Image Super Resolution with a Single Auto-Regressive Model The unreasonable effectiveness of deep features as a perceptual metric

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:38.247264Z

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.

Pith citing papers

No inbound Pith citation observations are available.