Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Training-Free Large Model Priors for Multiple-in-One Image Restoration
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.13181.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T22:34:21.082092Z
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
0
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 5f769c02-283b-44f8-83aa-780a2772b16e · 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 Training-Free Large Model Priors for Multiple-in-One Image Restoration
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:32:01.160887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 91562aac-cb49-42c9-bf7b-bdc1386d3cdc · 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 Training-Free Large Model Priors for Multiple-in-One Image Restoration
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:27:59.070461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b8360b57-b7bc-4b0f-b1df-de384f7422e6 · inbound
Overcoming Attention Drift: Homogeneity-Heterogeneity Guided Feature Aggregation for Low-Light Remote Sensing Image Enhancement cites this paper.
Overcoming Attention Drift: Homogeneity-Heterogeneity Guided Feature Aggregation for Low-Light Remote Sensing Image Enhancement Training-Free Large Model Priors for Multiple-in-One Image Restoration
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:34:21.082092Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.