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Paper Citation Record · LEDGER

Risk-Aware Reinforcement Learning through Optimal Transport Theory

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.06239.

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

pith.paper-citation-record.v1
2309.06239 v1

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:08:00.348723Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T23:10:44.707641Z

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 80209321-f39f-48aa-8f67-f003149ed159 · inbound

Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning cites this paper.

Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning Risk-Aware Reinforcement Learning through Optimal Transport Theory

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:00.348723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:08:00.348723Z digest=sha256:ea4c5040b5487760e746d84e9a85615cd2497dba8aa631ef6183c4cb60ced411

Observation a9a9c823-36e4-48ef-9500-f1982d1fba61 · inbound

Geometry-Aware Decentralized Sinkhorn for Wasserstein Barycenters cites this paper.

Geometry-Aware Decentralized Sinkhorn for Wasserstein Barycenters Risk-Aware Reinforcement Learning through Optimal Transport Theory

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:10:44.709512Z

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=2026-05-21T23:08:08.096620Z digest=sha256:ac5f5b3a479327bad560f41906c1f4a80106c0fb4af5dd0c3c099fdecf833723