Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.14612.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:30:17.763317Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T12:10:09.067676Z
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 261f86d8-6360-4ec8-8e1a-0d763d9efa3d · inbound
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics cites this paper.
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T10:08:40.882193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4007e1a4-5d9d-4128-a442-f0dab858ce01 · inbound
The Influence of the Memory Capacity of Neural DDEs on the Universal Approximation Property cites this paper.
The Influence of the Memory Capacity of Neural DDEs on the Universal Approximation Property Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:30:17.763317Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce438e1c-c00f-4ea0-aedd-641905424e4e · inbound
Weight-Parameterization in Continuous Time Deep Neural Networks for Surrogate Modeling cites this paper.
Weight-Parameterization in Continuous Time Deep Neural Networks for Surrogate Modeling Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T12:10:09.071585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.