Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep learning as optimal control problems: models and numerical methods
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.05657.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-09T04:31:29.598247Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T04:35:57.538061Z
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 89e58c78-21a6-4011-bdce-5d25338fc797 · inbound
Control, Optimal Transport and Neural Differential Equations in Supervised Learning cites this paper.
Control, Optimal Transport and Neural Differential Equations in Supervised Learning Deep learning as optimal control problems: models and numerical methods
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T23:52:16.942172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 93874226-f9ad-4f59-ade8-1631c8926cfa · inbound
An optimal control approach for neural network architecture adaptation with a posteriori error estimation cites this paper.
An optimal control approach for neural network architecture adaptation with a posteriori error estimation Deep learning as optimal control problems: models and numerical methods
Reference 24
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T04:35:57.539461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.