Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Survey of Dropout Methods for Deep Neural Networks
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1904.13310.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:17:20.157241Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T19:27:28.181661Z
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 6d0c2192-b0a0-4ec1-8b48-c53d11e7d93d · inbound
Hadamard product in deep learning: Introduction, Advances and Challenges cites this paper.
Hadamard product in deep learning: Introduction, Advances and Challenges Survey of Dropout Methods for Deep Neural Networks
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:17:20.157241Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 826121d4-668e-40fb-9aa0-8d9ae6e89a20 · inbound
FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE cites this paper.
FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE Survey of Dropout Methods for Deep Neural Networks
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T19:27:28.186326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0f94ecbd-2fe1-432e-ac82-f3e3fb3d61db · inbound
Deep Neural Networks Inspired by Differential Equations cites this paper.
Deep Neural Networks Inspired by Differential Equations Survey of Dropout Methods for Deep Neural Networks
Reference 132
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T10:54:31.289498Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.