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Paper Citation Record · LEDGER

A generative machine learning surrogate model of plasma turbulence

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.13232.

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

pith.paper-citation-record.v1
2405.13232 v2

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 2026-08-05T20:35:24.260772Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T22:41:15.020991Z

Reference resolution

0 of 0 outbound references displayed

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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 9f1e0443-0345-436a-8d02-b2d2afe7ad12 · 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 A generative machine learning surrogate model of plasma turbulence

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T20:35:24.260772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:35:24.260772Z digest=sha256:ec0f38548adbb08f93bb548be6dccf72640c6775b1f0a115f9e2c44bf6da04b6

Observation 00fa6689-4c11-4086-9a80-661a61480807 · inbound

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

iGENE: A Differentiable Flux-Tube Gyrokinetic Code in TensorFlow A generative machine learning surrogate model of plasma turbulence

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:41:15.025712Z

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:d6a44588c770e475a978c947bc3c830c887c81731faca28fc8e359f12c0825bd