Pith. sign in

Paper Citation Record · LEDGER

Robust Wasserstein Profile Inference and Applications to Machine Learning

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.

pith.paper-citation-record.v1
1610.05627 v4

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 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:46:07.444304Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:37:18.491090Z

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 79e8064e-e9f7-475b-96c0-aaedd952d32c · inbound

Distributionally Robust Optimization: A Review cites this paper.

Distributionally Robust Optimization: A Review Robust Wasserstein Profile Inference and Applications to Machine Learning

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-14T13:46:07.444304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:46:07.444304Z digest=sha256:2e999dfa03a3796fb64b903527cd26dfdf1e0d8fa0d409651a7acb9c8a33d42a

Observation 3ca13031-2444-4350-9683-213d2e3e28e4 · inbound

Tractable Reformulations of Distributionally Robust Two-stage Stochastic Programs with $\infty-$Wasserstein Distance cites this paper.

Tractable Reformulations of Distributionally Robust Two-stage Stochastic Programs with $\infty-$Wasserstein Distance Robust Wasserstein Profile Inference and Applications to Machine Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T11:53:26.034855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:53:26.034855Z digest=sha256:2eb0d22c1de324dd557b4f0af8f3d86e4335d5b3038d6d01a1951e1da96096b2

Observation d2075175-80aa-4d6c-b35b-3e9f420f2bec · inbound

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning cites this paper.

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Robust Wasserstein Profile Inference and Applications to Machine Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T11:37:50.156582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:37:50.156582Z digest=sha256:ad791df981e8dce68accc44a1675cc8d72ff67311e5f167482fc4e9c1f2b53b1

Observation 37771ab4-d424-49c3-9147-16964178d6fa · inbound

Distributionally Robust Linear Regression With Block Lewis Weights cites this paper.

Distributionally Robust Linear Regression With Block Lewis Weights Robust Wasserstein Profile Inference and Applications to Machine Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:37:18.492561Z

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.

source=pdf_text observed=2026-07-02T19:29:59.464383Z digest=sha256:a19491a6a2fd83884ed5d4c34aa44531f875097238f5d7c841406ca4b6489ab3