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Paper Citation Record · LEDGER

Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.17210.

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

pith.paper-citation-record.v1
2405.17210 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:32:17.914319Z

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 c69008a2-cf55-4f08-a242-8ee6a28ee7a1 · inbound

Reinforcement-learning-based control of turbulent channel flows at high Reynolds numbers cites this paper.

Reinforcement-learning-based control of turbulent channel flows at high Reynolds numbers Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:17.914319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:32:17.914319Z digest=sha256:81433ef53e29fcde3a35ab7c9009cf0d11a03f3eede84fea40bd886351a02346

Observation 4e5d104b-4ca9-4df8-97fd-4fb52ea6010b · 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 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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-04T18:08:55.544780Z digest=sha256:1b0bb348cf0129ffe7ba23f4b73c6fba50ee61ac29f005b849a1f6c1f965079a