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Paper Citation Record · LEDGER

Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.02243.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2303.02243 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:48:07.989329Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T18:57:43.129720Z

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 429040e4-d7bc-4494-b0e8-6f546736c2d7 · inbound

Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems cites this paper.

Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T10:48:07.989329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:48:07.989329Z digest=sha256:aa187df34788df16de253cf97ff47b5773c251b982048141b023918af54b3cbd

Observation b466a602-9b02-496c-b5bf-28665bdd4d10 · inbound

Spatiotemporal decoupled physics-informed Stone-Weierstrass neural operator for long-time prediction of time-dependent parametric PDEs cites this paper.

Spatiotemporal decoupled physics-informed Stone-Weierstrass neural operator for long-time prediction of time-dependent parametric PDEs Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-19T18:57:43.131229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T18:55:55.093897Z digest=sha256:cca58935385dc0c954490fe4822ec7c8d0682c5031576bb96363fa30e6da1d47