Paper Citation Record · LEDGER

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution

As of 12 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2608.09133.

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

pith.paper-citation-record.v1
2608.09133 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:56:54.077196Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

14 of 14 outbound references displayed

verified exact2
verified fuzzy1
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba381db4-d41c-440d-8ff7-24d23c1f1940 · outbound

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

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:56:54.504883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 906a432b-293c-4ae2-8de1-13e3c1d5ebe7 · outbound

This paper cites Back to Basics: Let Denoising Generative Models Denoise.

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution Back to Basics: Let Denoising Generative Models Denoise

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T22:56:54.026667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2005cd9b-f834-4de1-bc9d-5742b6b657b6 · outbound

This paper cites Exploiting Diffusion Prior for Real-World Image Super-Resolution.

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution Exploiting Diffusion Prior for Real-World Image Super-Resolution

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T22:56:54.036624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8408f21-0494-483b-bf73-3ed3a50ae357 · outbound

This paper cites SinSR: Diffusion-Based Image Super-Resolution in a Single Step.

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution SinSR: Diffusion-Based Image Super-Resolution in a Single Step

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T22:56:54.051158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aaefdd5-2b4d-465b-b18a-71ad46134100 · outbound

This paper cites Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization.

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T22:56:54.061735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c381f360-edcc-4509-97b3-7d2c0d5a9a48 · outbound

This paper cites ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting.

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T22:56:54.066656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18fc5b6b-34cb-4fab-94b7-b98ace28697b · outbound

This paper cites Designing a Practical Degradation Model for Deep Blind Image Super-Resolution.

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution Designing a Practical Degradation Model for Deep Blind Image Super-Resolution

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T22:56:54.072558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af874da3-5f0c-4cde-9304-e35ad05c8042 · outbound

This paper cites Model adaptation.The condition-side pixel feature is fused with the LR latent condition through the gated residual formulation described in Sec.

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution Model adaptation.The condition-side pixel feature is fused with the LR latent condition through the gated residual formulation described in Sec

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-11T22:56:54.192738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 07f6090a-02df-464d-9d35-8b3c545e0ea5 · outbound

This paper cites Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data.

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-11T22:56:54.041544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac6ade8e-622f-4505-bba3-ec88edbf977c · outbound

This paper cites SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution.

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T22:56:54.055987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8215da9b-29fa-4895-9dd8-bd159307fbb4 · outbound

This paper cites Gendr: Lighten generative detail restoration.arXiv preprint arXiv:2503.06790,.

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution Gendr: Lighten generative detail restoration.arXiv preprint arXiv:2503.06790,

Reference 2021

Resolution: verified exact; raw_fallback, observed 2026-08-11T22:56:54.363816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 54eaf940-dce2-4685-8627-41595f63874a · outbound

This paper cites Image Super-Resolution via Iterative Refinement.

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution Image Super-Resolution via Iterative Refinement

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T22:56:54.031683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4334f15f-a892-417b-b729-6a586591f0f3 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution LoRA: Low-Rank Adaptation of Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T22:56:54.021482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f6a3546-41d5-4ff7-b016-9264839a5dff · outbound

This paper cites Latent forcing: Reordering the diffusion trajectory for pixel-space image generation.arXiv preprint arXiv:2602.11401,.

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution Latent forcing: Reordering the diffusion trajectory for pixel-space image generation.arXiv preprint arXiv:2602.11401,

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-11T22:56:54.016369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.