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Paper Citation Record · LEDGER

Separable Physics-Informed Neural Networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.15969.

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

pith.paper-citation-record.v1
2306.15969 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:55:34.694850Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T03:30:50.821590Z

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 ced835e8-5735-4217-a0e0-349423659fdd · inbound

Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks? cites this paper.

Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks? Separable Physics-Informed Neural Networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T00:55:34.694850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:55:34.694850Z digest=sha256:0415d90aaa9c0a3b5dfd0368d9ef3b55d9dc0650b53082934e5aa4db1c755049

Observation f72ce411-5f11-42f8-9498-3cf1fd57e039 · inbound

Breaking the Precision Ceiling in Physics-Informed Neural Networks: A Hybrid Fourier-Neural Architecture for Ultra-High Accuracy cites this paper.

Breaking the Precision Ceiling in Physics-Informed Neural Networks: A Hybrid Fourier-Neural Architecture for Ultra-High Accuracy Separable Physics-Informed Neural Networks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T13:13:32.503435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:13:32.503435Z digest=sha256:f536e835af6522651f2215a4a2b7da8fe6a6559d82c7bd2662203f6819dad4d7

Observation d81d94a7-b3a5-43d6-9874-2b86db3f9951 · inbound

A Practitioner's Guide to Kolmogorov-Arnold Networks cites this paper.

A Practitioner's Guide to Kolmogorov-Arnold Networks Separable Physics-Informed Neural Networks

Reference 161

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:30:50.824631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T03:29:15.570760Z digest=sha256:f78e04193f2b5be3b6ca0b205a6dc123b26c5c0b78aec7f3cfbe6a81228dbc07