Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1810.09102.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T05:32:34.738330Z
A source-named dated measurement, never combined with another source.
Source: pith, 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
15
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 4e3a28d4-24fe-497d-9083-4c95b615d74b · inbound
Loss Landscape Analysis for Reliable Quantized ML Models for Scientific Sensing cites this paper.
Loss Landscape Analysis for Reliable Quantized ML Models for Scientific Sensing Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T05:32:34.738330Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca175d9d-382a-48a4-a1ce-01db1b4e0e96 · inbound
Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis cites this paper.
Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:48:54.706617Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4eb8c977-68e0-403e-9786-b0216dbc7257 · inbound
Escaping the Procrustean Bed: Groupwise Orthogonal Connectors for Audio-Language Models cites this paper.
Escaping the Procrustean Bed: Groupwise Orthogonal Connectors for Audio-Language Models Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T19:35:32.584503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.