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Paper Citation Record · LEDGER

Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning

As of 14 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2509.10185.

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

pith.paper-citation-record.v1
2509.10185 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:10:15.928761Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T04:57:45.985884Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

5 of 5 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 5ac04bd5-97f1-4665-9b3a-ffaaec21b348 · outbound

This paper cites Cerutti, C.

Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning Cerutti, C

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T18:10:15.601297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:10:15.601297Z digest=sha256:0827221a334fd80dca13a126c15dcf7b71759966fa3cfad4436595e0efb6d375

Observation 98e24fe7-44f6-4203-af78-dad606ffbe07 · outbound

This paper cites Vasanth, J.

Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning Vasanth, J

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T18:10:15.851196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:10:15.851196Z digest=sha256:ec90d354fc3c46d4d415f4707f222faaa5abcae6e44ca84460cc8a1952fb0ec8

Observation 9559ba8e-98b0-4e6c-a4d8-f71699d0ea37 · outbound

This paper cites Minelli, S.

Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning Minelli, S

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-04T18:10:15.659675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:10:15.659675Z digest=sha256:ad1b46443d8ae065838e4d64828d3c7c30f7485062a3b5907a44be893dc0b7db

Observation 1e4b28bc-bd77-40ae-b1f7-eaa12c524507 · outbound

This paper cites Su´arez, F.

Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning Su´arez, F

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-04T18:10:15.745266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:10:15.745266Z digest=sha256:850cbe543b67ef75e1a6dbcb7b6280a82e081c3fa2ac9a044c40f4ba64af139e

Observation b28543c0-25d7-412c-b242-50677e20c79d · outbound

This paper cites Montal `a, B.

Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning Montal `a, B

Reference 1422

Resolution
unresolved
no resolver link, observed 2026-08-04T18:10:15.928761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:10:15.928761Z digest=sha256:3c0c6ba269b9a264bd9e47fb416c048fa5b705a6f6f8669259412667d0257e41

Pith citing papers

Observation a326cd9e-35ce-4e17-9b1c-ffde1c2274d8 · inbound

High-lift Wing Separation Control via Bayesian Optimization and Deep Reinforcement Learning cites this paper.

High-lift Wing Separation Control via Bayesian Optimization and Deep Reinforcement Learning Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:02:17.649621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T04:57:45.985884Z digest=sha256:5a1f85c082924ad5784b08ce68ef6ec09082d4d2916941fc404d943691ec3399