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Paper Citation Record · LEDGER

Deep-reinforcement-learning-based separation control in a two-dimensional airfoil

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.16993.

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

pith.paper-citation-record.v1
2502.16993 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:08:56.427345Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 418e6bce-7ef5-4f44-8e6a-60cc4ed6e654 · inbound

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 cites this paper.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Deep-reinforcement-learning-based separation control in a two-dimensional airfoil

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-04T18:14:12.627586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-04T18:08:56.427345Z digest=sha256:a6dda46b324d193cd138f0d71643a3fc0ab16b9e41d92b2d6a206ae08de6d4be

Observation efbfc2cd-ca56-452d-9f66-76da09780bbd · inbound

Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control cites this paper.

Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control Deep-reinforcement-learning-based separation control in a two-dimensional airfoil

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-03T09:03:31.458680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:03:31.458680Z digest=sha256:8287f55976506dccbd8c37b68007def523d17cf5020eb842ac2f33e031ae1ca5