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Paper Citation Record · LEDGER

Data-driven Optimal Cost Selection for Distributionally Robust Optimization

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1705.07152.

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

pith.paper-citation-record.v1
1705.07152 v3

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:46:07.454349Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T11:37:50.844428Z

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 1d476343-621a-4d4a-8706-7207d40cb189 · inbound

Distributionally Robust Optimization: A Review cites this paper.

Distributionally Robust Optimization: A Review Data-driven Optimal Cost Selection for Distributionally Robust Optimization

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-14T13:46:07.454349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:46:07.454349Z digest=sha256:47d682b388f499bb9a692702617c753283e0e5cfca5cc624f7aa0555d2a1676a

Observation 403310be-d2f8-4b76-9186-aa0a09acfe53 · inbound

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

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Data-driven Optimal Cost Selection for Distributionally Robust Optimization

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:37:50.850029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T11:37:50.161907Z digest=sha256:5a274cfbacdac67d6ba54b958884d980493d231358136920d4311cfb25f81d62