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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:58:43.490134Z

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 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.

source=pdf_text observed=2026-08-06T11:58:43.490134Z digest=sha256:c90d94dc9cd3ee8bee89114532e83a38dce9b10ea09e0174b99d118715e85ba5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T03:50:38.792407Z digest=sha256:6698bf9289442be43eb5e927a3a6ccb4a9564defe79e0db58b283d694faa274d