Paper Citation Record · LEDGER

An operator preconditioning perspective on training in physics-informed machine learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.05801.

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

pith.paper-citation-record.v1
2310.05801 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 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:11:37.719583Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T13:09:02.175012Z

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 74928930-db15-4fde-98f5-a9ede0f64984 · inbound

PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations cites this paper.

PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations An operator preconditioning perspective on training in physics-informed machine learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T20:11:37.719583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bcaacb6-b2c3-4a70-bd76-d99558e030d1 · inbound

A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks cites this paper.

A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks An operator preconditioning perspective on training in physics-informed machine learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T16:51:00.388892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 540d10d9-4881-4c4d-abb6-55809937086b · inbound

Regularized dynamical parametric approximation of stiff evolution problems cites this paper.

Regularized dynamical parametric approximation of stiff evolution problems An operator preconditioning perspective on training in physics-informed machine learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T17:38:06.414785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8c7f88b-2b37-4efb-9440-4ffa76c42a90 · inbound

Discrete energy as an exact label-free training objective for finite-element surrogates cites this paper.

Discrete energy as an exact label-free training objective for finite-element surrogates An operator preconditioning perspective on training in physics-informed machine learning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-08T13:09:02.182255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.