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Paper Citation Record · LEDGER

On Generalization and Regularization via Wasserstein Distributionally Robust Optimization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.05716.

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

pith.paper-citation-record.v1
2212.05716 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T09:55:27.630410Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T11:55:43.430856Z

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 c8757545-af50-45d9-a36e-7fc30c41177f · inbound

Generating Plausible Stress Scenarios via Large Deviations cites this paper.

Generating Plausible Stress Scenarios via Large Deviations On Generalization and Regularization via Wasserstein Distributionally Robust Optimization

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-07-01T11:55:43.432470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T03:21:21.007186Z digest=sha256:2433d23bfd9af6f8cfbf4ecde54007b783324c63d45ae56a2a916e4ac0228e97

Observation a81328a4-a671-4529-a750-87fcbdfaf3f9 · inbound

An Extreme Value Perspective on Learning Stress Laws cites this paper.

An Extreme Value Perspective on Learning Stress Laws On Generalization and Regularization via Wasserstein Distributionally Robust Optimization

Reference 93

Resolution
unresolved
no resolver link, observed 2026-07-14T09:55:27.630410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T09:55:27.630410Z digest=sha256:4207df21048ba1dbea33bf2145bf0b0126f0d2b18a232fd7f6d43bcdc34e6d7c