Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1609.05672.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:16:01.919111Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T23:22:03.061350Z
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 f0656dda-dedb-439e-8c34-945d4bdd49d7 · inbound
Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions cites this paper.
Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:16:01.919111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e650a745-a4a0-4459-a638-1de981e18614 · inbound
Excavate the potential of Single-Scale Features: A Decomposition Network for Water-Related Optical Image Enhancement cites this paper.
Excavate the potential of Single-Scale Features: A Decomposition Network for Water-Related Optical Image Enhancement Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks
Reference 88
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:56:29.489279Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 127e8723-4065-4664-b4db-78a910bbe8e3 · inbound
Image Classification via Random Dilated Convolution with Multi-Branch Feature Extraction and Context Excitation cites this paper.
Image Classification via Random Dilated Convolution with Multi-Branch Feature Extraction and Context Excitation Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:22:03.112360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.