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Paper Citation Record · LEDGER

A Reinforcement Learning Framework for Some Singular Stochastic Control Problems

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2506.22203.

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

pith.paper-citation-record.v1
2506.22203 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T19:10:28.699085Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 5fa9d3a9-15df-4238-8bda-1c5d57071119 · inbound

Reinforcement learning for irreversible reinsurance problems: the randomized singular control approach cites this paper.

Reinforcement learning for irreversible reinsurance problems: the randomized singular control approach A Reinforcement Learning Framework for Some Singular Stochastic Control Problems

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T19:10:28.699085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:10:28.699085Z digest=sha256:d1dc7015b7f63e839cf28589169e7353728a1d4051a165ef101c6c0d0d3792a3

Observation 8ef18a3b-e27c-4f3d-b03b-240f8d4e3257 · inbound

Continuous-time reinforcement learning for optimal switching over multiple regimes cites this paper.

Continuous-time reinforcement learning for optimal switching over multiple regimes A Reinforcement Learning Framework for Some Singular Stochastic Control Problems

Reference 1965

Resolution
unresolved
no resolver link, observed 2026-08-03T18:40:33.417501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:40:33.417501Z digest=sha256:999e635a30db101476a8e71944f296716942ac31d3ee0251bdf48587ced9c49c