Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1610.05627.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:46:07.444304Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T19:37:18.491090Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 79e8064e-e9f7-475b-96c0-aaedd952d32c · inbound
Distributionally Robust Optimization: A Review Robust Wasserstein Profile Inference and Applications to Machine Learning
Reference 58
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ca13031-2444-4350-9683-213d2e3e28e4 · inbound
Tractable Reformulations of Distributionally Robust Two-stage Stochastic Programs with $\infty-$Wasserstein Distance Robust Wasserstein Profile Inference and Applications to Machine Learning
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2075175-80aa-4d6c-b35b-3e9f420f2bec · inbound
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Robust Wasserstein Profile Inference and Applications to Machine Learning
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37771ab4-d424-49c3-9147-16964178d6fa · inbound
Distributionally Robust Linear Regression With Block Lewis Weights Robust Wasserstein Profile Inference and Applications to Machine Learning
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.