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Paper Citation Record · LEDGER

Airfoil GAN: Encoding and Synthesizing Airfoils for Aerodynamic Shape Optimization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.04757.

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

pith.paper-citation-record.v1
2101.04757 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 2026-08-07T13:17:38.715443Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:17:39.184123Z

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 4946a35f-8ce5-4feb-8ec5-34aca801a861 · inbound

Full Domain Analysis in Fluid Dynamics cites this paper.

Full Domain Analysis in Fluid Dynamics Airfoil GAN: Encoding and Synthesizing Airfoils for Aerodynamic Shape Optimization

Reference 74

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:17:39.242820Z

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=2026-08-07T13:17:38.715443Z digest=sha256:58701027312eff0cc0c592e99e4cffe5fac6d72aece323ff5443ea7c98d58a9a

Observation 3e8735b6-78b2-4bf8-a1df-812cf3a963ef · inbound

IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry cites this paper.

IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry Airfoil GAN: Encoding and Synthesizing Airfoils for Aerodynamic Shape Optimization

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-14T05:13:21.472236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T05:13:21.472236Z digest=sha256:20234438bf9070193393d169e3a53a09ca042c99ebb6a7f6e1b8389f8a9f3e7d