Paper Citation Record · LEDGER

When and why PINNs fail to train: A neural tangent kernel perspective

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2007.14527.

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

pith.paper-citation-record.v1
2007.14527 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:15:59.456896Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:08:36.924668Z

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 c098b45d-0faa-4fbe-9129-1c7aed7c554c · 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 When and why PINNs fail to train: A neural tangent kernel perspective

Reference 288

Resolution: verified exact; arxiv_id, observed 2026-05-24T10:24:20.150975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9264a5f2-eef7-4d20-bf40-7b18921f3ecb · inbound

Bayesian Reasoning for Physics Informed Neural Networks cites this paper.

Bayesian Reasoning for Physics Informed Neural Networks When and why PINNs fail to train: A neural tangent kernel perspective

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-24T08:06:03.903415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 902dbdd1-c241-4ff5-ba40-5c7cd1cddb1c · inbound

SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks cites this paper.

SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks When and why PINNs fail to train: A neural tangent kernel perspective

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:59.456896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 189d4c6b-33bf-45ff-abaa-4716d25fbd52 · inbound

Man, Machine, and Mathematics cites this paper.

Man, Machine, and Mathematics When and why PINNs fail to train: A neural tangent kernel perspective

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:51:27.805643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7261a7f7-44f4-4294-b168-7ef78393586d · inbound

Neural Spectral Element Methods for stiff multiphysics PDEs with electrochemical transport benchmarks cites this paper.

Neural Spectral Element Methods for stiff multiphysics PDEs with electrochemical transport benchmarks When and why PINNs fail to train: A neural tangent kernel perspective

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:16:23.957902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 17723cbd-732c-4a64-9085-de56a3c49c8d · inbound

Neural Architectures as Functional Priors in Physics-Informed Control Problems cites this paper.

Neural Architectures as Functional Priors in Physics-Informed Control Problems When and why PINNs fail to train: A neural tangent kernel perspective

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:08:36.926369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6b7c2bb8-a8ce-4a51-a635-74b255acd321 · inbound

Variational Boosting for Physics-Informed Neural Networks cites this paper.

Variational Boosting for Physics-Informed Neural Networks When and why PINNs fail to train: A neural tangent kernel perspective

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-07-31T23:34:26.223073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9bdcd5a-66d6-4403-94e8-70d975e25f2a · inbound

Cosmo-SPINN: Fuzzy Dark Matter Simulations with Physics-Informed Generative Networks cites this paper.

Cosmo-SPINN: Fuzzy Dark Matter Simulations with Physics-Informed Generative Networks When and why PINNs fail to train: A neural tangent kernel perspective

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T02:27:16.820329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.