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Paper Citation Record · LEDGER

Tensor networks enable the calculation of turbulence probability distributions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.09169.

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

pith.paper-citation-record.v1
2407.09169 v2

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:06:18.932306Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T19:32:00.938252Z

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 c64af3c4-030f-4169-ac38-b0305699f9e1 · inbound

Derivation of Runge--Kutta Order Conditions via Functional Tree Tensor Networks cites this paper.

Derivation of Runge--Kutta Order Conditions via Functional Tree Tensor Networks Tensor networks enable the calculation of turbulence probability distributions

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:32:00.940241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T19:27:54.397470Z digest=sha256:3fcc9bacaaaab3ede9a0bb8647079cc584e1a20506c423d8d27b6c7c88f9f72e

Observation 12ed82df-156d-4d98-a89b-ad6c06a4192c · inbound

Tensor network methods for the Gross-Pitaevskii equation on fine grids cites this paper.

Tensor network methods for the Gross-Pitaevskii equation on fine grids Tensor networks enable the calculation of turbulence probability distributions

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:18.932306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:18.932306Z digest=sha256:2a9e1ab5c6a73452b3c0d9cdb28b8b6d69488b48745840feeb912bf5b229e78b

Observation 823f8c42-75bb-44c1-986f-154d9e86cffc · inbound

Solving the Peierls-Boltzmann transport equation with matrix product states cites this paper.

Solving the Peierls-Boltzmann transport equation with matrix product states Tensor networks enable the calculation of turbulence probability distributions

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:20:52.637259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:35:57.952272Z digest=sha256:bbc11541cb6089078d7175f0acc44a5fc672dbe8eb0ad789db0c63b4b539cec6