Paper Citation Record · LEDGER

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models

As of 7 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 5 inbound Pith citation observations for arXiv:2505.24406.

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

pith.paper-citation-record.v1
2505.24406 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:34:12.338865Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:17:33.709950Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T14:00:12.993235Z

Reference resolution

23 of 23 outbound references displayed

verified exact1
verified fuzzy3
unresolved18
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 190521f4-6d34-4fa7-b413-88ca564fa273 · outbound

This paper cites an unresolved cited work.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:34:13.229517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d7c4bd8-6802-4fd0-8cc4-a3cc3f9c794f · outbound

This paper cites Li, B., Xue, K., Liu, B., and Lai, Y .-K.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Li, B., Xue, K., Liu, B., and Lai, Y .-K

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:10.944098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9f2efe4-a331-4a86-b991-13d1cedb5112 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:11.157056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c90527f-0092-449f-9402-eecffbf546b9 · outbound

This paper cites Peng, X., Zheng, Z., Dai, W., Xiao, N., Li, C., Zou, J., and Xiong, H.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Peng, X., Zheng, Z., Dai, W., Xiao, N., Li, C., Zou, J., and Xiong, H

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:11.314466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50e1f772-454f-4070-88ce-739886c988ac · outbound

This paper cites GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:34:12.525539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9a117e28-88b3-47db-9eb0-6923239b06b7 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:11.716876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03ed1463-9d7e-49f5-bd31-d818ef5b29e3 · outbound

This paper cites Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:11.795076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf4198e-516c-4693-802f-ddc2821537d4 · outbound

This paper cites Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:11.929745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3286874-8e1b-4ee3-a6e9-adbcd51f0cb2 · outbound

This paper cites Denoising Diffusion Bridge Models.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Denoising Diffusion Bridge Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:12.012934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3836f110-f072-4fa9-846d-7d73db04a3dc · outbound

This paper cites For detailed definitions of the symbols shown, please refer to the corresponding original paper.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models For detailed definitions of the symbols shown, please refer to the corresponding original paper

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:13.344043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5828dc37-c564-4522-9338-783189ba1f01 · outbound

This paper cites To manage the learning rate, a constant schedule is employed with 500 warmup steps to gradually ramp up the learning rate at the start of training.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models To manage the learning rate, a constant schedule is employed with 500 warmup steps to gradually ramp up the learning rate at the start of training

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:13.099148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a448f16c-3353-41ae-bda9-ef04824bc1c3 · outbound

This paper cites an unresolved cited work.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:34:12.983823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 67f63dca-c2f7-4266-9851-555cdd3a5fdd · outbound

This paper cites an unresolved cited work.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Unresolved cited work

Reference 23

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:34:12.844236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b4a89759-73a3-442d-9658-546ba8008fb3 · outbound

This paper cites Deep Retinex Decomposition for Low-Light Enhancement.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Deep Retinex Decomposition for Low-Light Enhancement

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:11.864433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab9492c-905a-4c63-abb8-b34fe36fda00 · outbound

This paper cites Denoising Diffusion Implicit Models.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Denoising Diffusion Implicit Models

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:11.626153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87c13ea3-5ede-4e29-9326-b77e22e7cb8b · outbound

This paper cites Finding Local Diffusion Schr\"odinger Bridge using Kolmogorov-Arnold Network.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Finding Local Diffusion Schr\"odinger Bridge using Kolmogorov-Arnold Network

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:11.411603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87ce1b8a-b30a-4cd7-a713-421d1b88f3db · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:10.608840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 626eb50c-7372-496e-96b6-a55cd3d9e30d · outbound

This paper cites Universal Image Restoration Pre-training via Degradation Classification.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Universal Image Restoration Pre-training via Degradation Classification

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:10.780702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d81d79-3e4f-4cf6-877f-f77ad7d71220 · outbound

This paper cites Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:10.678133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 465e1b76-7f83-44e5-bf7a-bf896dcb4b5e · outbound

This paper cites Non-confusing Generation of Customized Concepts in Diffusion Models.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Non-confusing Generation of Customized Concepts in Diffusion Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:11.010339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5493432-4edc-41f0-bb2c-63ef8ae7a209 · outbound

This paper cites K., and Bovik, A.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models K., and Bovik, A

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:13.489421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cd9cbcf9-a2fb-4534-8759-f0ef1f484b4c · outbound

This paper cites Schr\"odinger Bridge Samplers.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Schr\"odinger Bridge Samplers

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:10.527192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 288bda4c-ce78-4799-8c56-e629948e9b1c · outbound

This paper cites Enhancing Multimodal Unified Representations for Cross Modal Generalization.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Enhancing Multimodal Unified Representations for Cross Modal Generalization

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:10.867408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4d4e4a51-aac1-4641-a3e7-efe0001d5e29 · inbound

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations cites this paper.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:33.709950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 682fd2f0-5e04-4538-b960-6f4c8abf7f97 · inbound

Show and Polish: Reference-Guided Identity Preservation in Face Video Restoration cites this paper.

Show and Polish: Reference-Guided Identity Preservation in Face Video Restoration IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:37.941964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f23e8e0-ffe8-4fd5-b1ec-ea7f4cc4fc3e · inbound

Open-set Cross Modal Generalization via Multimodal Unified Representation cites this paper.

Open-set Cross Modal Generalization via Multimodal Unified Representation IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:31.574133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97b78efa-805e-40c6-ba3b-0ffd08c1ebae · inbound

TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal cites this paper.

TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T21:53:31.545115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c6a279b-6357-4c0b-b600-1f2495771760 · inbound

TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image Restoration cites this paper.

TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image Restoration IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:00:12.995472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.