Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Physics-informed nonlinear vector autoregressive models for the prediction of dynamical systems
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.18057.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T23:19:08.971339Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T23:22:46.987942Z
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 c9d9027f-a9f2-4330-9a1c-4866f83e9b3f · inbound
Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte Carlo cites this paper.
Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte Carlo Physics-informed nonlinear vector autoregressive models for the prediction of dynamical systems
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T17:42:32.313545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 10277550-1600-4026-989b-fbf5fa13d280 · inbound
Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error cites this paper.
Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error Physics-informed nonlinear vector autoregressive models for the prediction of dynamical systems
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T23:22:46.989362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.