Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Wavelet Convolutions for Large Receptive Fields
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.05848.
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 2026-08-06T14:44:45.908618Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T17:08:01.032360Z
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 53b22404-e730-42a7-98e9-1583bd547be2 · inbound
WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection cites this paper.
WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection Wavelet Convolutions for Large Receptive Fields
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:44:45.908618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a64b66de-accf-4406-9434-4f8ceeb6b15b · inbound
Identifying Microlensing by Compact Dark Matter through Diffraction Patterns in Gravitational Waves with Machine Learning cites this paper.
Identifying Microlensing by Compact Dark Matter through Diffraction Patterns in Gravitational Waves with Machine Learning Wavelet Convolutions for Large Receptive Fields
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:35:02.525700Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11b79d8a-006c-4fea-b216-ffbee9cb1847 · inbound
SARES-DEIM: Sparse Mixture-of-Experts Meets DETR for Robust SAR Ship Detection cites this paper.
SARES-DEIM: Sparse Mixture-of-Experts Meets DETR for Robust SAR Ship Detection Wavelet Convolutions for Large Receptive Fields
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T17:08:01.033765Z
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.