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Paper Citation Record · LEDGER

On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.13648.

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

pith.paper-citation-record.v1
2203.13648 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:39:13.634012Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T10:24:20.171855Z

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 6810f83a-65b1-4dde-b444-ade3167bf965 · inbound

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics cites this paper.

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks

Reference 289

Resolution
verified exact
arxiv_id, observed 2026-05-24T10:24:20.174588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-24T10:22:00.419523Z digest=sha256:1387221615d9f45a0bb4bd7152d38dce5b4a7d453b15ac56d3383132edb42f56

Observation c4200a17-1a4b-4587-94ce-ca9274e86278 · inbound

IP-Basis PINNs: Efficient Multi-Query Inverse Parameter Estimation cites this paper.

IP-Basis PINNs: Efficient Multi-Query Inverse Parameter Estimation On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T22:39:13.634012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:39:13.634012Z digest=sha256:4e27217be66253cfd8269fa45c87dd7a2d9ced83b9dcdcdb44c0fe6abdd4422b

Observation e5db429d-5544-4323-9dc6-0becf2f82fbc · inbound

Neural Multiscale Decomposition for Solving The Nonlinear Klein-Gordon Equation with Time Oscillation cites this paper.

Neural Multiscale Decomposition for Solving The Nonlinear Klein-Gordon Equation with Time Oscillation On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T19:36:17.332012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:36:17.332012Z digest=sha256:a48e5e34a10848dbd2265359810fccdea9c566f9e27ff112e47c1414c3a84f87