Paper Citation Record · LEDGER

Understanding and Mitigating Extrapolation Failures in Physics-Informed Neural Networks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2306.09478.

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

pith.paper-citation-record.v1
2306.09478 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:48:44.829076Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:14:41.063397Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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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 25dd6618-707b-4799-8c36-258d2766c356 · inbound

MoGERNN: An Inductive Traffic Predictor for Unobserved Locations cites this paper.

MoGERNN: An Inductive Traffic Predictor for Unobserved Locations Understanding and Mitigating Extrapolation Failures in Physics-Informed Neural Networks

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:52:34.337510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 58719fb3-3ebe-40dc-b62d-0acc95850821 · inbound

Improving physics-informed neural network extrapolation via transfer learning and adaptive activation functions cites this paper.

Improving physics-informed neural network extrapolation via transfer learning and adaptive activation functions Understanding and Mitigating Extrapolation Failures in Physics-Informed Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:44.829076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db666588-d67e-4b94-818c-8f25a334e862 · inbound

Accelerating 4D Hyperspectral Imaging through Physics-Informed Neural Representation and Adaptive Sampling cites this paper.

Accelerating 4D Hyperspectral Imaging through Physics-Informed Neural Representation and Adaptive Sampling Understanding and Mitigating Extrapolation Failures in Physics-Informed Neural Networks

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:00:53.517228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f614636-1e9b-4bec-80f0-a05684149596 · inbound

SPLIT-PINN: Separable Probability Learning Technique via Physics-Informed Neural Networks for High-Dimensional Probabilistic Modeling cites this paper.

SPLIT-PINN: Separable Probability Learning Technique via Physics-Informed Neural Networks for High-Dimensional Probabilistic Modeling Understanding and Mitigating Extrapolation Failures in Physics-Informed Neural Networks

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:14:41.064744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.