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Paper Citation Record · LEDGER

Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-B\'enard convection

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.21565.

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

pith.paper-citation-record.v1
2407.21565 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:37:37.429583Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T16:37:37.505594Z

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 433fd241-3b2a-4d8c-a517-c7cb984f7755 · inbound

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models cites this paper.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-B\'enard convection

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:37:37.512122Z

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=2026-08-11T16:37:37.429583Z digest=sha256:5eb5f8cde2bd4bacb029e1d9e9346e4e707c507ded249881962c01a3f23f786e

Observation f2a959bb-6702-4ddf-b40d-71d2a1ddff67 · inbound

Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems cites this paper.

Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-B\'enard convection

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-01T21:11:52.036426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:11:52.036426Z digest=sha256:fd93ebc9ca17ac465b0d0f8dbb5c12fa130303006111b296163690ff6175adab