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Paper Citation Record · LEDGER

Reinforcement Learning for Jump-Diffusions, with Financial Applications

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.16449.

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

pith.paper-citation-record.v1
2405.16449 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:40:33.333118Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T09:44:37.755009Z

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 d3b7396b-60bf-4150-9e2d-b9fe6ffe1428 · inbound

Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management cites this paper.

Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management Reinforcement Learning for Jump-Diffusions, with Financial Applications

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:35:55.789716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-24T00:35:41.483393Z digest=sha256:5016235a678bb2b4ed75682cea58d25edd2231cec8ee7854c3de24d5990d2ad1

Observation f534aa72-264b-4a02-a0f2-5a8175cb9bda · inbound

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

Continuous-time reinforcement learning for optimal switching over multiple regimes Reinforcement Learning for Jump-Diffusions, with Financial Applications

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-03T18:40:33.333118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:40:33.333118Z digest=sha256:e9400c2cd5fe9cdd0eb9da0fec82165b43895753476b2011b32a23c6907c0017

Observation f8c27082-87ad-4165-a938-fc01890d3c60 · inbound

Entropy Regularized Reinforcement Learning for Zero-Sum Stochastic Differential Games in a Regime-Switching Jump-Diffusion Process cites this paper.

Entropy Regularized Reinforcement Learning for Zero-Sum Stochastic Differential Games in a Regime-Switching Jump-Diffusion Process Reinforcement Learning for Jump-Diffusions, with Financial Applications

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T09:44:37.756406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T09:38:06.564786Z digest=sha256:242e20acc731cacfd67e97affafa4a71382ae624087483f37369308a6b58aefd