Paper Citation Record · LEDGER

Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2211.00214.

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

pith.paper-citation-record.v1
2211.00214 v1

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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:44:05.083240Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:26:54.526957Z

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 76298255-34e1-4bc5-86cf-bb96837cddcd · inbound

Efficient PINNs via Multi-Head Unimodular Regularization of the Solutions Space cites this paper.

Efficient PINNs via Multi-Head Unimodular Regularization of the Solutions Space Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T17:34:33.534694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e9b439c-393f-454d-8f64-b426a67e0c2b · inbound

Prediction of acoustic field in 1-D uniform duct with varying mean flow and temperature using neural networks cites this paper.

Prediction of acoustic field in 1-D uniform duct with varying mean flow and temperature using neural networks Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T11:58:43.490134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 529f1282-f510-4932-88cf-0071d3c75421 · inbound

Simultaneous approximation of multiple degenerate states using a single neural network quantum state cites this paper.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T16:44:05.083240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5dcaa19-12e7-4aae-bcdf-5f06be5f52af · inbound

ATLAS-NN: Adaptive Transfer Learnable Symplectic-aware Neural Network for Long-Time Hamiltonian Dynamics cites this paper.

ATLAS-NN: Adaptive Transfer Learnable Symplectic-aware Neural Network for Long-Time Hamiltonian Dynamics Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:26:54.528766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.