Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generalization bounds for neural ordinary differential equations and deep residual networks
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.06648.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-17T22:32:22.608423Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T22:35:25.406819Z
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 2a6f4fc1-a167-4bad-ab24-116e658e1317 · inbound
Learning Post-Newtonian Corrections from Numerical Relativity cites this paper.
Learning Post-Newtonian Corrections from Numerical Relativity Generalization bounds for neural ordinary differential equations and deep residual networks
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:35:25.409477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.