Paper Citation Record · LEDGER

Policy Gradient Learning for Distributionally Robust Markov Decision Processes under Wasserstein Ambiguity

As of 12 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2606.27610.

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

pith.paper-citation-record.v1
2606.27610 v2

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:01:21.184772Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

verified exact0
verified fuzzy0
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6529e752-b0bc-45db-93d1-11f1f099258d · outbound

This paper cites an unresolved cited work.

Policy Gradient Learning for Distributionally Robust Markov Decision Processes under Wasserstein Ambiguity Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T10:01:21.179648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e62b749-5353-470b-baa8-b381734f4919 · outbound

This paper cites an unresolved cited work.

Policy Gradient Learning for Distributionally Robust Markov Decision Processes under Wasserstein Ambiguity Unresolved cited work

Reference 1993

Resolution: unresolved; no resolver link, observed 2026-08-02T10:01:21.174672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c3fe84f-313c-4ca8-9322-ef9936a9198e · outbound

This paper cites an unresolved cited work.

Policy Gradient Learning for Distributionally Robust Markov Decision Processes under Wasserstein Ambiguity Unresolved cited work

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-02T10:01:21.164975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca940167-8d9d-4858-bbdd-22583abb7628 · outbound

This paper cites Bayraktar, Q.

Policy Gradient Learning for Distributionally Robust Markov Decision Processes under Wasserstein Ambiguity Bayraktar, Q

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T10:01:21.159620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce19e77f-91a7-488a-a302-67915ff2109d · outbound

This paper cites Policy Gradient Method For Robust Reinforcement Learning.

Policy Gradient Learning for Distributionally Robust Markov Decision Processes under Wasserstein Ambiguity Policy Gradient Method For Robust Reinforcement Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T10:01:21.184772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62570e1a-9b23-47e0-ab49-2a327c214228 · outbound

This paper cites Sensitivity Analysis of Distributionally Robust BSDEs and RBSDEs.

Policy Gradient Learning for Distributionally Robust Markov Decision Processes under Wasserstein Ambiguity Sensitivity Analysis of Distributionally Robust BSDEs and RBSDEs

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-02T10:01:21.169669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.