Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Degradation-aware Any 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:2405.15475.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:32:29.199150Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T21:28:00.183993Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation a51cd680-416a-4eb2-ab9e-fb3f07ef29b3 · inbound
BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration cites this paper.
BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Efficient Degradation-aware Any Image Restoration
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:32:29.199150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 879231a1-cae5-4fa7-9339-fc2ed6fb6b32 · 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 Efficient Degradation-aware Any Image Restoration
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:32:02.561000Z
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 f4e4821f-e4b9-49a7-82f5-5c0546a929cb · 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 Efficient Degradation-aware Any Image Restoration
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:28:00.185907Z
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.