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Paper Citation Record · LEDGER

On the Preprocessing of Physics-informed Neural Networks: How to Better Utilize Data in Fluid Mechanics

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.19923.

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

pith.paper-citation-record.v1
2403.19923 v2

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:06:41.803734Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T21:21:41.467554Z

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 d5d5af9c-2675-41ac-a4fc-be25483c8b0e · inbound

Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations cites this paper.

Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations On the Preprocessing of Physics-informed Neural Networks: How to Better Utilize Data in Fluid Mechanics

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T11:06:41.803734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:06:41.803734Z digest=sha256:d82585752db555de99815cf4968ded33aa14ab2e606815dfa108609bf0bc65b8

Observation 8cdc67a0-f4c9-47ea-938c-1a592eccfa58 · inbound

Physics-Informed Neural Networks in Clean Combustion: A Pathway to Sustainable Aerospace Propulsion cites this paper.

Physics-Informed Neural Networks in Clean Combustion: A Pathway to Sustainable Aerospace Propulsion On the Preprocessing of Physics-informed Neural Networks: How to Better Utilize Data in Fluid Mechanics

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-04T21:21:41.481470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-04T21:21:40.981920Z digest=sha256:cca7f1e38d2a481c4a918e82fa45e77b8aa4603931194d439a4c3bb0ad3a4afe