Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1505.05116.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:44:14.342958Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T03:20:55.826704Z
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 b691beff-2e0c-4572-904e-468531171537 · inbound
Cross-Dock Door Design under Uncertainty: A two-stage DRO-based lower- and upper-bounding scheme cites this paper.
Cross-Dock Door Design under Uncertainty: A two-stage DRO-based lower- and upper-bounding scheme Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:44:14.342958Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26022a1d-3eeb-4ca9-9b46-bd2d125b9a11 · inbound
Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context cites this paper.
Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations
Reference 128
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T22:00:05.620645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.