Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.14099.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:33:20.478422Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T00:16:23.914091Z
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 345c5c56-6a28-41b0-a6be-2881ae8526ef · inbound
Learn Singularly Perturbed Solutions via Homotopy Dynamics cites this paper.
Learn Singularly Perturbed Solutions via Homotopy Dynamics Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:57:13.452489Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c211c7b-52e9-4aac-b9da-83e109dfeec1 · inbound
Cosmology-informed Neural Networks to infer dark energy equation-of-state cites this paper.
Cosmology-informed Neural Networks to infer dark energy equation-of-state Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:33:20.478422Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18474ef5-3014-47e6-9d43-ab05e4035ec2 · inbound
Neural Spectral Element Methods for stiff multiphysics PDEs with electrochemical transport benchmarks cites this paper.
Neural Spectral Element Methods for stiff multiphysics PDEs with electrochemical transport benchmarks Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T00:16:23.917114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.