Paper Citation Record · LEDGER

Distributionally Robust Policy Learning with Wasserstein Distance

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2205.04637.

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

pith.paper-citation-record.v1
2205.04637 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:31:06.608012Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:29:23.188958Z

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 3adb0ffd-1959-405e-9329-f4fd5b57bcc0 · inbound

Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data cites this paper.

Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data Distributionally Robust Policy Learning with Wasserstein Distance

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:02:41.545369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e7d53d3-103c-43be-a420-d4880a97355f · inbound

Who With Whom? Learning Optimal Matching Policies cites this paper.

Who With Whom? Learning Optimal Matching Policies Distributionally Robust Policy Learning with Wasserstein Distance

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:06.608012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e157a518-3796-481f-b1c1-6cb0bf7dc90b · inbound

Nonparametric Bayesian Policy Learning cites this paper.

Nonparametric Bayesian Policy Learning Distributionally Robust Policy Learning with Wasserstein Distance

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-20T15:23:25.179666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 191bf4ff-dbaf-4d07-8a00-43d518c8e0cf · inbound

Wasserstein Policy Learning for Distributional Outcomes cites this paper.

Wasserstein Policy Learning for Distributional Outcomes Distributionally Robust Policy Learning with Wasserstein Distance

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T02:29:23.190747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.