Paper Citation Record · LEDGER

Prompt-In-Prompt Learning for Universal Image Restoration

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2312.05038.

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

pith.paper-citation-record.v1
2312.05038 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:50:44.396508Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 06e8f357-e4c7-4ea3-a310-e9afd51ae326 · inbound

Grounding Degradations in Natural Language for All-In-One Video Restoration cites this paper.

Grounding Degradations in Natural Language for All-In-One Video Restoration Prompt-In-Prompt Learning for Universal Image Restoration

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:50:44.396508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65591941-5cc1-4e69-a51f-6d81f4b47bb0 · inbound

Robust Adverse Weather Removal via Spectral-based Spatial Grouping cites this paper.

Robust Adverse Weather Removal via Spectral-based Spatial Grouping Prompt-In-Prompt Learning for Universal Image Restoration

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T11:40:29.502629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de85b339-f639-4221-b2fb-149d759e52dd · inbound

Diffusion-Based sRGB Real Noise Generation via Prompt-Driven Noise Representation Learning cites this paper.

Diffusion-Based sRGB Real Noise Generation via Prompt-Driven Noise Representation Learning Prompt-In-Prompt Learning for Universal Image Restoration

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:00:04.185968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f1a5f5d8-7d2f-4b35-92b1-2bc9ccc72e8e · inbound

Breaking Degradation Coupling: A Structural Entropy Guided Decoupled Framework and Benchmark for Infrared Enhancement cites this paper.

Breaking Degradation Coupling: A Structural Entropy Guided Decoupled Framework and Benchmark for Infrared Enhancement Prompt-In-Prompt Learning for Universal Image Restoration

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:16:07.589078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a56cbb8a-0cb7-4f33-b28f-9e4d8410dd3c · inbound

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration cites this paper.

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration Prompt-In-Prompt Learning for Universal Image Restoration

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:24:12.631058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a51e20a-0569-4739-8687-e93030b50eff · inbound

DRNet: All-in-One Image Restoration via Prior-Guided Dynamic Reparameterization cites this paper.

DRNet: All-in-One Image Restoration via Prior-Guided Dynamic Reparameterization Prompt-In-Prompt Learning for Universal Image Restoration

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:36:26.386820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 326c5d38-6c3c-455f-b30c-427b054732f1 · inbound

Leveraging Multimodal Large Language Models for All-in-One Image Restoration via a Mixture of Frequency Experts cites this paper.

Leveraging Multimodal Large Language Models for All-in-One Image Restoration via a Mixture of Frequency Experts Prompt-In-Prompt Learning for Universal Image Restoration

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T01:32:02.569653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2af366ab-0bfd-495c-acd1-a426915cd4ee · inbound

Leveraging Multimodal Large Language Models for All-in-One Image Restoration via a Mixture of Frequency Experts cites this paper.

Leveraging Multimodal Large Language Models for All-in-One Image Restoration via a Mixture of Frequency Experts Prompt-In-Prompt Learning for Universal Image Restoration

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:28:00.200070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8b410b6a-339a-4f42-aa9a-739f07c15df7 · inbound

Expandable, Compressible, Mineable: Open-World Thermal Image Restoration cites this paper.

Expandable, Compressible, Mineable: Open-World Thermal Image Restoration Prompt-In-Prompt Learning for Universal Image Restoration

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T20:32:45.462194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e320b87d-4e8c-4fb2-88c7-cf8a3f716eb4 · inbound

STAR-IOD: Scale-decoupled Topology Alignment with Pseudo-label Refinement for Remote Sensing Incremental Object Detection cites this paper.

STAR-IOD: Scale-decoupled Topology Alignment with Pseudo-label Refinement for Remote Sensing Incremental Object Detection Prompt-In-Prompt Learning for Universal Image Restoration

Reference 161

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T06:13:59.695148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3c386420-2eaa-43f8-832b-0b1250eee666 · inbound

QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration cites this paper.

QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration Prompt-In-Prompt Learning for Universal Image Restoration

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T00:14:07.932260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.