Paper Citation Record · LEDGER

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning

As of 23 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 4 inbound Pith citation observations for arXiv:2412.03268.

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

pith.paper-citation-record.v1
2412.03268 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:38:38.364501Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:35:43.253496Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:37:30.493456Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy17
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 194fe1f5-085f-4998-91cb-731a49c6bb99 · outbound

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

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

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Observation 309667d1-e127-4c08-9900-18a693839f3b · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Training Diffusion Models with Reinforcement Learning

Reference 2

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Observation cbcf7bd9-9822-4168-9ea0-c2d842374f6e · outbound

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

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Toward real-world single image super-resolution: A new benchmark and a new model

Reference 3

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Observation 0645460a-52cc-4abf-af7a-fe2330a7922f · outbound

This paper cites Directly Fine-Tuning Diffusion Models on Differentiable Rewards.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Directly Fine-Tuning Diffusion Models on Differentiable Rewards

Reference 4

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Observation 869b3940-d040-4703-a2e9-8b341a234aa1 · outbound

This paper cites RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Reference 5

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Observation c78fd89b-003d-46ad-909b-8e66cd09df6b · outbound

This paper cites Re- inforcement learning for fine-tuning text-to-image diffusion models.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Re- inforcement learning for fine-tuning text-to-image diffusion models

Reference 6

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Observation 3f77d840-be1e-45a5-9817-3c601344c05c · outbound

This paper cites Im- age style transfer using convolutional neural networks.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Im- age style transfer using convolutional neural networks

Reference 7

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Observation 08d59ac9-6ad8-42b6-a5a3-6a0892cd6f81 · outbound

This paper cites Div8k: Diverse 8k resolution image dataset.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Div8k: Diverse 8k resolution image dataset

Reference 8

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Observation 75acb23e-3a74-40e8-9701-7b38d8368fa4 · outbound

This paper cites Denoising dif- fusion probabilistic models.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Denoising dif- fusion probabilistic models

Reference 9

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Observation 14f91147-9f56-4206-94b3-6f1a4e78b581 · outbound

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

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning A style-based generator architecture for generative adversarial networks

Reference 10

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Observation 522d88ad-01ce-49e0-963f-c2f13cf8c806 · outbound

This paper cites Diffu- sionclip: Text-guided diffusion models for robust image ma- nipulation.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Diffu- sionclip: Text-guided diffusion models for robust image ma- nipulation

Reference 11

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Observation 9f605fd3-f99d-4367-aafe-c569908d285f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Adam: A Method for Stochastic Optimization

Reference 12

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Observation 334064a6-f249-4639-a447-36815fa3d81a · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 13

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Observation c29a16b1-b8c7-4b08-83e4-133fb71b68db · outbound

This paper cites Aligning Text-to-Image Models using Human Feedback.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Aligning Text-to-Image Models using Human Feedback

Reference 14

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Observation 3bd2b24b-825a-4af7-9ee5-f87693d6dd8a · outbound

This paper cites Controlnet++: Improving conditional controls with efficient consistency feedback.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Controlnet++: Improving conditional controls with efficient consistency feedback

Reference 15

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Observation 6f09ea25-8589-4d68-9643-a313a105e031 · outbound

This paper cites DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 16

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Observation 6b761a45-e006-4860-ac39-6a9ea17a4bfc · outbound

This paper cites Aligning Text-to-Image Diffusion Models with Reward Backpropagation.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Aligning Text-to-Image Diffusion Models with Reward Backpropagation

Reference 17

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Observation 3d66db2d-7283-467b-a3b2-f9a2b35b01a6 · outbound

This paper cites Xpsr: Cross-modal priors for diffusion-based image super-resolution.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Xpsr: Cross-modal priors for diffusion-based image super-resolution

Reference 18

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Observation aabcc343-30ea-4687-9222-1ed0608e3550 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Learning transferable visual models from natural language supervi- sion

Reference 19

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Observation 3497f1b8-7016-4ff2-88be-fb2499d9078d · outbound

This paper cites Byteedit: Boost, comply and acceler- ate generative image editing.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Byteedit: Boost, comply and acceler- ate generative image editing

Reference 20

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Observation 7b16c8c2-df5d-4388-bb20-4abe0aa8ee95 · outbound

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

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning High-resolution image synthesis with latent diffusion models

Reference 21

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Observation ed081065-12f3-467d-87db-a359818ead98 · outbound

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

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Photorealistic text-to-image diffusion models with deep language understanding

Reference 22

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Observation f8478a73-579b-4dce-a4b0-5573e2762acf · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 23

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Observation 75158a76-0acf-4023-b6c5-821319d4c96a · outbound

This paper cites Freeu: Free lunch in diffusion u-net.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Freeu: Free lunch in diffusion u-net

Reference 24

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Observation edb89b8b-c609-4a49-8b0a-c0f87c760745 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 25

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Observation 47041664-5e68-4f8e-ad16-c19d73d1aaf0 · outbound

This paper cites https://stability.ai/stablediffusion.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning https://stability.ai/stablediffusion

Reference 26

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Observation 6499102c-b0d5-44fb-b2fa-5364ddc40e02 · outbound

This paper cites Pixel-aware stable diffusion for realistic image super- resolution and personalized stylization.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Pixel-aware stable diffusion for realistic image super- resolution and personalized stylization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:38:40.874842Z

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Observation 26b182e8-655b-464d-b713-481e58602f65 · outbound

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

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Ntire 2017 challenge on single image super-resolution: Methods and results

Reference 28

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Observation 150abfd1-dc91-46a5-8533-1735be16cf17 · outbound

This paper cites Chan, and Chen Change Loy.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Chan, and Chen Change Loy

Reference 29

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Observation 0963288e-dd29-4d8c-9081-d086714e9bd8 · outbound

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

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Recovering realistic texture in image super-resolution by deep spatial feature transform

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:38:40.502299Z

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Observation ccff7dbe-b3c6-4fa3-b7db-76549c2e880f · outbound

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

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 31

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Observation 40a1f238-a537-4161-88d8-0cb02840ea90 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Image quality assessment: from error visibility to structural similarity

Reference 32

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Observation 2efe1701-ff1b-4c0c-960a-e27df9afabe9 · outbound

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

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Component divide- and-conquer for real-world image super-resolution

Reference 33

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Observation 4d5e1737-59f0-4faa-acf7-88c6688ef518 · outbound

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

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Seesr: Towards semantics- aware real-world image super-resolution

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:38:40.015548Z

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Observation 7a2a0b82-f347-4dad-886b-83bf5f3dc171 · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 35

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Observation b6db75f8-779d-4a4e-af3a-55551c6524e0 · outbound

This paper cites Maniqa: Multi-dimension attention network for no-reference image quality assessment.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Maniqa: Multi-dimension attention network for no-reference image quality assessment

Reference 36

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Observation eeea53f5-a1aa-490c-80a3-259986f6280a · outbound

This paper cites A Dense Reward View on Aligning Text-to-Image Diffusion with Preference.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning A Dense Reward View on Aligning Text-to-Image Diffusion with Preference

Reference 37

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Observation 2744201d-5a0a-4c33-97cd-7a4aaff88858 · outbound

This paper cites Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation

Reference 38

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Observation 67472913-c03f-414b-bf65-a2cc1c5e85ae · outbound

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

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Adding conditional control to text-to-image diffusion models

Reference 39

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Observation aef951b4-a28f-474e-b019-9f18196bd273 · outbound

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

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning The unreasonable effectiveness of deep features as a perceptual metric

Reference 40

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Observation 1515ce4c-1516-4255-8f98-6c5a6667ab69 · outbound

This paper cites Confronting reward overoptimiza- tion for diffusion models: A perspective of inductive and pri- macy biases.

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning Confronting reward overoptimiza- tion for diffusion models: A perspective of inductive and pri- macy biases

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T22:38:38.364501Z

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Pith citing papers

Observation 81038baa-20e0-4ae4-bf39-8267e64c2143 · inbound

TASR: Timestep-Aware Diffusion Model for Image Super-Resolution cites this paper.

TASR: Timestep-Aware Diffusion Model for Image Super-Resolution RFSR: Improving ISR Diffusion Models via Reward Feedback Learning

Reference 36

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Observation 1f517d66-c882-4e49-b09d-1f23196077e5 · inbound

Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning cites this paper.

Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning RFSR: Improving ISR Diffusion Models via Reward Feedback Learning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T12:31:17.429900Z

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Observation 35c7f7e2-3daa-4653-a4f9-5a0fdfe6bd43 · inbound

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges cites this paper.

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges RFSR: Improving ISR Diffusion Models via Reward Feedback Learning

Reference 213

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Observation e9e93c8c-7dbd-4fdc-86de-9a9c57d8bf2b · inbound

Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization cites this paper.

Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization RFSR: Improving ISR Diffusion Models via Reward Feedback Learning

Reference 291

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:37:30.495238Z

Source-reported events for the cited work

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