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Paper Citation Record · LEDGER

Robust Reinforcement Learning with Wasserstein Constraint

As of 19 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2006.00945.

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

pith.paper-citation-record.v1
2006.00945 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-19T06:30:13.599613+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-11T03:18:03.316334Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T03:20:55.684328Z

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 1736b45b-0c19-4983-8cb0-b05a34b98724 · inbound

Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context cites this paper.

Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context Robust Reinforcement Learning with Wasserstein Constraint

Reference 151

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:20:55.688742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=arxiv_source observed=2026-05-11T03:18:03.316334Z digest=sha256:a2d2aa1c485e8bb2996e20f72617aaed5909fd2c3fe825cdda71138eea6bf402