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Paper Citation Record · LEDGER

Investigating and Mitigating Failure Modes in Physics-informed Neural Networks (PINNs)

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.09988.

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

pith.paper-citation-record.v1
2209.09988 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:21:40.942079Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T21:21:41.532626Z

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 858ce9d2-6223-4768-b348-a962ca2321c3 · 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 Investigating and Mitigating Failure Modes in Physics-informed Neural Networks (PINNs)

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-04T21:21:41.543022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T21:21:40.942079Z digest=sha256:00ec8fa56eecd17638979faef65d68324040670ab891a3c6f0612b0dbb2b6d31

Observation 066bdeb3-2b0c-4c15-b4f8-6df3c67263cf · inbound

A physics-informed neural network approach to the point defect model for electrochemical oxide film growth cites this paper.

A physics-informed neural network approach to the point defect model for electrochemical oxide film growth Investigating and Mitigating Failure Modes in Physics-informed Neural Networks (PINNs)

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T12:43:35.692705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:43:35.692705Z digest=sha256:f19bc07c16361ef8fcccb3b098bdeabf27155485e5d21930c276af5214e9fa82