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Paper Citation Record · LEDGER

Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2105.02575.

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

pith.paper-citation-record.v1
2105.02575 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:42:28.924658Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T00:42:29.525041Z

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 cbd80fcf-ee32-4f8a-8291-87f8b08f6e1a · inbound

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations cites this paper.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:42:29.532518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T00:42:28.924658Z digest=sha256:ffd98db081d1b6ae630c4b0e8922202e8d7bf18106376c19087e68e529f23aa0

Observation a7ca98a4-9cdc-4895-987a-aefc61a99701 · inbound

Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls cites this paper.

Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T21:45:15.422582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:45:15.422582Z digest=sha256:5a8fca264c107bbf5f8c984dc7044fa5443ebc01010a39a166c4a444735e9008