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Paper Citation Record · LEDGER

Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.15603.

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

pith.paper-citation-record.v1
2405.15603 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:09:01.226078Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 117c4b4e-1afc-49f3-867a-16e1cc47be07 · inbound

An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks cites this paper.

An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:58:42.296420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T16:53:57.535982Z digest=sha256:4c8786e59acb925df2c77e5f830e71f3c0aed94a1e3f1ef3d8aaeec44febb9ad

Observation dfe00422-fe04-461a-8cac-1d2351d2024f · inbound

Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers cites this paper.

Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-01T06:09:01.226078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:09:01.226078Z digest=sha256:eb0c56b8e6eea86f5ab230cc5edb54f15663e19ca70d3fa629047dc08641d77e