Paper Citation Record · LEDGER

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors

As of 11 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2605.00605.

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

pith.paper-citation-record.v1
2605.00605 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T18:56:23.019338Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

37 of 37 outbound references displayed

verified exact4
verified fuzzy33
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9b74caf4-e8e5-4aee-8fb9-cfa9d7ce34b4 · outbound

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

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Ntire 2017 challenge on single image super- resolution: Dataset and study

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.205674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e77faed0-e57c-4bc6-87cf-ae54024db0f1 · outbound

This paper cites Dsslic: Deep semantic segmentation-based layered image compression.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Dsslic: Deep semantic segmentation-based layered image compression

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.147703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e91b621-1365-4cf2-84af-489d0b804a5f · outbound

This paper cites Plug-and-play tri-branch invertible block for image rescaling.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Plug-and-play tri-branch invertible block for image rescaling

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.083552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b5eb0de-a480-4a20-b216-841152d20ead · outbound

This paper cites Demystifying MMD GANs.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Demystifying MMD GANs

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:08:38.581858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b6e244be-4c6c-4464-9c2b-51672f3a87c2 · outbound

This paper cites Adver- sarial diffusion compression for real-world image super- resolution.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Adver- sarial diffusion compression for real-world image super- resolution

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.111997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d255e35d-87d5-41fb-a81a-090a0a713208 · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity.IEEE transactions on pat- tern analysis and machine intelligence, 44(5):2567–2581.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Image quality assessment: Unifying structure and texture similarity.IEEE transactions on pat- tern analysis and machine intelligence, 44(5):2567–2581

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.117258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03f79260-1ad8-4410-89da-5951db058581 · outbound

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

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Taming transformers for high-resolution image synthesis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.209828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d95a8ead-2737-4361-b15d-21c049867aa8 · outbound

This paper cites Oscar: One-step diffusion codec across multiple bit-rates.arXiv preprint arXiv:2505.16091.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Oscar: One-step diffusion codec across multiple bit-rates.arXiv preprint arXiv:2505.16091

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:01:13.915022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa2c4a9e-5e56-4b75-91c1-ac3854c5b460 · 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.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.121910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d0317639-a926-46a4-b642-fadbab6a290c · outbound

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

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.088265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0d941ab7-4dc3-4c6b-b08e-ae3fb4a9408b · outbound

This paper cites An- alyzing and improving the image quality of stylegan.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors An- alyzing and improving the image quality of stylegan

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.168045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 76ca8c2c-6918-45ba-97fe-d817d328f92f · outbound

This paper cites Musiq: Multi-scale im- age quality transformer.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Musiq: Multi-scale im- age quality transformer

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.139104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8f8b8ce7-6451-4185-943d-cc7089a731c0 · outbound

This paper cites Task-aware image downscaling.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Task-aware image downscaling

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.066631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a1aa9519-e757-4c57-8430-53df156deef6 · outbound

This paper cites Glow: Generative flow with invertible 1x1 con- volutions.Advances in neural information processing sys- tems, 31.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Glow: Generative flow with invertible 1x1 con- volutions.Advances in neural information processing sys- tems, 31

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.156489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f2e26cf3-ecf4-460d-b036-1b5c6ceb276e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Adam: A Method for Stochastic Optimization

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-11T16:01:13.694221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7890150-ea76-4556-bb81-5a8036ddd8cc · outbound

This paper cites Learning a convolutional neural network for image compact-resolution.IEEE Transactions on Im- age Processing, 28(3):1092–1107.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Learning a convolutional neural network for image compact-resolution.IEEE Transactions on Im- age Processing, 28(3):1092–1107

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.219444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 973313ef-0323-4cff-9acc-a1ba850197c3 · outbound

This paper cites Lsdir: A large scale dataset for image restoration.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Lsdir: A large scale dataset for image restoration

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.164251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6365c767-8f68-4075-933d-1893e23139a9 · outbound

This paper cites Rdeic: Accelerating diffusion-based extreme image compression with relay residual diffusion.IEEE Transactions on Circuits and Sys- tems for Video Technology.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Rdeic: Accelerating diffusion-based extreme image compression with relay residual diffusion.IEEE Transactions on Circuits and Sys- tems for Video Technology

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.143471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3fe3f2bc-d09a-4eb6-abc2-335f44552bf8 · outbound

This paper cites Hierarchical conditional flow: A unified framework for image super-resolution and image rescaling.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Hierarchical conditional flow: A unified framework for image super-resolution and image rescaling

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.099245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5e1caa21-2683-4b10-bd6f-aea86caee170 · outbound

This paper cites Enhanced deep resid- ual networks for single image super-resolution.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Enhanced deep resid- ual networks for single image super-resolution

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.171935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3050d8e6-7de2-478f-a799-0aba1c1be6ec · outbound

This paper cites Diffbir: Toward blind image restoration with generative diffusion prior.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Diffbir: Toward blind image restoration with generative diffusion prior

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.058804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e35661e-4d7a-4acc-be6f-89b0e5967401 · outbound

This paper cites Dinov2: Learning robust vi- sual features without supervision.Transactions on Ma- chine Learning Research Journal, pages 1–31.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Dinov2: Learning robust vi- sual features without supervision.Transactions on Ma- chine Learning Research Journal, pages 1–31

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.052167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44ec90a3-4e01-4d03-a84f-19f7441a3a1e · outbound

This paper cites Adversarial diffusion distillation.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Adversarial diffusion distillation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.151598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6fea00af-604e-4aee-afc2-4caa52d99c3e · outbound

This paper cites Real-time single im- age and video super-resolution using an efficient sub-pixel convolutional neural network.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Real-time single im- age and video super-resolution using an efficient sub-pixel convolutional neural network

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.190918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a44c476e-1a34-44fe-bc96-530fb92160f4 · outbound

This paper cites Learned image downscaling for upscaling using content adaptive resampler.IEEE Transactions on Image Process- ing, 29:4027–4040.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Learned image downscaling for upscaling using content adaptive resampler.IEEE Transactions on Image Process- ing, 29:4027–4040

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.104972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14d6f434-6d13-49da-bb95-69f3d8d5251b · outbound

This paper cites Clic 2020: Chal- lenge on learned image compression.Retrieved March, 29:2021.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Clic 2020: Chal- lenge on learned image compression.Retrieved March, 29:2021

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.200206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1735f2be-fd90-4e86-837f-6d2a7132612d · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transac- tions on image processing, 13(4):600–612.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Image quality assessment: from error visibility to structural similarity.IEEE transac- tions on image processing, 13(4):600–612

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.078210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58a97d48-c9cc-4169-9c26-65799ed55ad9 · outbound

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

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.213682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ab1cdefd-e8c6-4022-8cb6-830394d7479c · outbound

This paper cites Timestep-aware diffusion model for ex- treme image rescaling.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Timestep-aware diffusion model for ex- treme image rescaling

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.134898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c2944d7-4495-49eb-adba-80137bf48ddb · outbound

This paper cites Toward extreme image rescal- ing with generative prior and invertible prior.IEEE Trans- actions on Circuits and Systems for Video Technology, 34(7):6181–6193.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Toward extreme image rescal- ing with generative prior and invertible prior.IEEE Trans- actions on Circuits and Systems for Video Technology, 34(7):6181–6193

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.160376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c601ed04-7211-4dc1-829d-b665b16e0859 · outbound

This paper cites A lightweight model for perceptual image compression via implicit priors.Neural Networks, page 108279.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors A lightweight model for perceptual image compression via implicit priors.Neural Networks, page 108279

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.195106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3ab804b1-4054-4124-92c8-329cea779ab4 · outbound

This paper cites Seesr: To- wards semantics-aware real-world image super-resolution.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Seesr: To- wards semantics-aware real-world image super-resolution

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.130854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 16530e56-8845-4221-a627-16ca921de628 · outbound

This paper cites Invertible rescal- ing network and its extensions.International Journal of Computer Vision, 131(1):134–159.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Invertible rescal- ing network and its extensions.International Journal of Computer Vision, 131(1):134–159

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.071795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 678f54e7-1dcc-4065-8b79-a04a64211985 · outbound

This paper cites Self-asymmetric invertible net- work for compression-aware image rescaling.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Self-asymmetric invertible net- work for compression-aware image rescaling

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.092460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5280b147-59ec-4824-8f31-ca3b5944e5a2 · outbound

This paper cites Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:01:13.516382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45b3e7f7-10ce-45fc-955e-7534ca53321c · outbound

This paper cites Faith- ful extreme rescaling via generative prior reciprocated in- vertible representations.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors Faith- ful extreme rescaling via generative prior reciprocated in- vertible representations

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.175737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3cef4609-9949-4410-8a15-9ff0c802bb5c · outbound

This paper cites High- frequency normalizing flow for image rescaling.IEEE Transactions on Image Processing, 32:6223–6233.

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors High- frequency normalizing flow for image rescaling.IEEE Transactions on Image Processing, 32:6223–6233

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:31:17.126302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.