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Paper Citation Record · LEDGER

From Deep to Physics-Informed Learning of Turbulence: Diagnostics

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1810.07785.

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

pith.paper-citation-record.v1
1810.07785 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:46:21.118772Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T13:56:57.786637Z

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 1d398011-ebd6-4537-bb33-d946a4b64655 · inbound

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers cites this paper.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers From Deep to Physics-Informed Learning of Turbulence: Diagnostics

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T10:46:21.118772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:46:21.118772Z digest=sha256:1b92b7f7c63f5b2058637d6287a125d133552bd7a014082de43d341fd0e40f08

Observation 967d9978-6650-4cab-bfc4-d859998e80a0 · inbound

Lagrangian Attention Tensor Networks for Velocity Gradient Statistical Modeling cites this paper.

Lagrangian Attention Tensor Networks for Velocity Gradient Statistical Modeling From Deep to Physics-Informed Learning of Turbulence: Diagnostics

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-08T13:56:57.792374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T13:56:57.630174Z digest=sha256:9661adec254575e9d3da43987bfae5973a68585fb8f038de2c2199135bb3c335