Pith. sign in

Paper Citation Record · LEDGER

Scientific Machine Learning Based Reduced-Order Models for Plasma Turbulence Simulations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.05972.

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

pith.paper-citation-record.v1
2401.05972 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:35:24.412561Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T22:41:15.045160Z

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 1fb4038c-3f27-47f2-8f4f-f871d9751a4f · inbound

Extracting a stochastic model for predator-prey dynamic of turbulence and zonal flows with limited data cites this paper.

Extracting a stochastic model for predator-prey dynamic of turbulence and zonal flows with limited data Scientific Machine Learning Based Reduced-Order Models for Plasma Turbulence Simulations

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T20:35:24.412561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:35:24.412561Z digest=sha256:4c2c4db7718a00784008e449bd81f6664d7a3c95109145105fa6e34f177aa692

Observation 541e1c78-d614-434f-b65b-97ac3567d1d0 · inbound

iGENE: A Differentiable Flux-Tube Gyrokinetic Code in TensorFlow cites this paper.

iGENE: A Differentiable Flux-Tube Gyrokinetic Code in TensorFlow Scientific Machine Learning Based Reduced-Order Models for Plasma Turbulence Simulations

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:41:15.048536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T02:42:07.814267Z digest=sha256:da2cd9c7017e28a69960fae7ad34d689fd4d635455057e6741e86c15442c91ac