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Paper Citation Record · LEDGER

Prompt-In-Prompt Learning for Universal Image Restoration

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:16:39.503437Z

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 4ac6eb05-9deb-4e43-8347-1125e3ffc374 · inbound

Complexity Experts are Task-Discriminative Learners for Any Image Restoration cites this paper.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Prompt-In-Prompt Learning for Universal Image Restoration

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T11:16:39.503437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:16:39.503437Z digest=sha256:805efca203081aa226477b87fcfba61f729d734633903d5fb8f5aed2d2bc7edf

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.

source=pdf_text observed=2026-08-06T15:50:44.396508Z digest=sha256:4c41a599e2d21d6d19677cd396ce7afa791203c45add0ae797414ae78e9e0747

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.

source=pdf_text observed=2026-08-06T11:40:29.502629Z digest=sha256:0a22be05fbcc9e16ce614216a353a0c05b6e58453f7978deb1846671bf597a58

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T11:59:58.927515Z digest=sha256:479b3f2dc757aa9e4d6bbeb19e5d5eaca7543d916240ddd5507a37910b61dbff

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T12:28:29.120438Z digest=sha256:892eba453956a8ee2ebd475af3e38c81b1ccadb3d6955a0c4fbbbd112d2d07ff

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T13:57:43.140353Z digest=sha256:dab3cc9c29f66a0d791871257734e89a45e7bf4c8cb24b447707c663dfdafd5a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T00:54:07.995451Z digest=sha256:34e137480973c8d8145f2675af99183d2cc43047d0e1094d55e4d185c8cc3faf

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T01:31:57.899821Z digest=sha256:625ebcb7963b0c2f59d9a0f98a680807353bef7dd1ad4fcedb26c45d938e57c0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-14T21:23:24.815672Z digest=sha256:efe2a7940cf424f6e533c5ef2f8b9aaa6b70bde928bfeff963bfb34ddb153f94

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-19T20:30:27.248241Z digest=sha256:620e4132a2895dbfedd84dffbe163d0a9b18cd5a1ce9e468baaf1622c5411bde

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-21T06:09:58.907203Z digest=sha256:83edd6676b0b883d56058ed63188d3d30bc251a658a5fa1d495c97f9c4af5e8e

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.

source=pdf_text observed=2026-08-02T00:14:07.932260Z digest=sha256:6812b66a7fbdba5e354f5c2630763c3b5535e88d168c9752f4c2c1f0773ab0f4

Observation ad5dad67-defc-400b-9c42-b9ba8f15c696 · inbound

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal cites this paper.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Prompt-In-Prompt Learning for Universal Image Restoration

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T18:01:36.820669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:01:36.820669Z digest=sha256:2d26b84fffa72c8a6c231324df456437ae397710cb70396650bdddea9f990f34

Observation b9964a47-eaba-41c4-9ce6-f2627b9b902e · inbound

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal cites this paper.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Prompt-In-Prompt Learning for Universal Image Restoration

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T04:18:28.047670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:18:28.047670Z digest=sha256:2b604298e36f39bd3417cb989125dd114084e1d0dc504fcf0059e18e52acab31