Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 3 inbound Pith citation observations for arXiv:2509.10195.

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

pith.paper-citation-record.v1
2509.10195 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:08:57.896024Z

measured 26 of 26 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:03:32.120796Z

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

23 of 23 outbound references displayed

verified exact7
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

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

Outbound references

Observation 18007a9a-060f-400b-bf90-7999aed08f90 · outbound

This paper cites Cerutti, C.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Cerutti, C

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T18:08:54.859871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a9fff9d-da25-4724-88c5-908b742877cf · outbound

This paper cites Minelli, S.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Minelli, S

Reference 2

Resolution: verified exact; doi, observed 2026-08-04T18:14:12.951756Z

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.

Observation db43b493-693f-48ce-aaf3-23c638d78850 · outbound

This paper cites Rodriguez, O.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Rodriguez, O

Reference 3

Resolution: verified exact; doi, observed 2026-08-04T18:14:12.856550Z

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.

Observation d2db862b-280a-4246-a68d-925f923e20d4 · outbound

This paper cites Garnier, J.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Garnier, J

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T18:08:55.217382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60015e60-8dd2-4680-9488-38d330abf5af · outbound

This paper cites Rabault, M.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Rabault, M

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T18:08:55.345740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d74b8022-3602-4674-93a3-5f76fd3a181e · outbound

This paper cites Rabault and A.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Rabault and A

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T18:08:55.434099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e5d104b-4ca9-4df8-97fd-4fb52ea6010b · outbound

This paper cites Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T18:14:12.794692Z

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.

Observation d994b4c0-7682-4ac4-8072-6d7a3a5e0239 · outbound

This paper cites Su´ arez, F.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Su´ arez, F

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T18:08:55.639703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90f2932e-2989-41e2-a348-db5aa6127d5e · outbound

This paper cites Guastoni, J.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Guastoni, J

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T18:08:55.772510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cad2f9a7-8622-4e82-b060-903261ce6ba7 · outbound

This paper cites Sonoda, Z.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Sonoda, Z

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T18:08:55.867133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef4c0e7c-7f1b-4ec3-80fb-8d33d0cbdfda · outbound

This paper cites Cavallazzi, L.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Cavallazzi, L

Reference 11

Resolution: malformed identifier; no resolver link, observed 2026-08-04T18:08:56.010938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33d20755-f733-4024-9380-4aad01798774 · outbound

This paper cites Vasanth, J.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Vasanth, J

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T18:08:56.133952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c57588a4-7223-4b41-bf47-aaff14445153 · outbound

This paper cites Wang, Y.-F.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Wang, Y.-F

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T18:08:56.276136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Deep-reinforcement-learning-based separation control in a two-dimensional airfoil.

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.

Observation 487e6ac8-227b-4782-869e-eff0d7da4819 · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T18:08:56.615798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9e2775c-447b-4f3f-a9c4-d2ea1d39bdb7 · outbound

This paper cites Montal` a, B.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Montal` a, B

Reference 16

Resolution: verified exact; doi, observed 2026-08-04T18:14:12.540417Z

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.

Observation 3d1faa65-7944-4a29-8368-2e447bf3242d · outbound

This paper cites Proximal Policy Optimization Algorithms.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Proximal Policy Optimization Algorithms

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T18:08:56.897770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 913517fc-a38c-4f57-bd70-e8c000c17f93 · outbound

This paper cites Gasparino, F.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Gasparino, F

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T18:08:57.015944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61cbc634-15c9-4bbe-b8ea-334f4305421d · outbound

This paper cites Guadarrama, A.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Guadarrama, A

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T18:08:57.209017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee691126-c54a-46bc-84a3-0981d9edce45 · outbound

This paper cites Partee, M.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Partee, M

Reference 20

Resolution: verified exact; doi, observed 2026-08-04T18:14:12.398070Z

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.

Observation facc8eeb-8220-4a64-ad45-70247badb641 · outbound

This paper cites Belus, J.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Belus, J

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T18:08:57.553649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de18eb16-00a9-4ca0-bdbd-5ab5e440ed43 · outbound

This paper cites Gupta, J.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Gupta, J

Reference 22

Resolution: verified exact; doi, observed 2026-08-04T18:14:12.305478Z

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.

Observation 800c5949-c1ef-45ca-9b55-3b27c8de9f0f · outbound

This paper cites Kouser, Y.

Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000 Kouser, Y

Reference 23

Resolution: verified exact; doi, observed 2026-08-04T18:14:12.246792Z

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.

Pith citing papers

Observation 1791084e-e7be-4d87-bfc0-3651ff8a9173 · 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 for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T09:03:32.120796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be87dc00-aeee-4fe7-b954-94a6cd845505 · 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 Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:02:17.647061Z

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.

Observation df238594-8570-4177-ae2e-fd29fe8f8499 · inbound

On Distributional Reinforcement Learning in Chaotic Dynamical Systems cites this paper.

On Distributional Reinforcement Learning in Chaotic Dynamical Systems Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:33:14.921587Z

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.