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Paper Citation Record · LEDGER

Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.13087.

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

pith.paper-citation-record.v1
2311.13087 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:05:34.563849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:38.070426Z

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 f324cad4-fdd2-4882-8e35-bfb36abb45d5 · inbound

Diff2SP: Diffusion Models for Correlated Scenario Generation in Stochastic Programming cites this paper.

Diff2SP: Diffusion Models for Correlated Scenario Generation in Stochastic Programming Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:57:07.587485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T23:05:34.563849Z digest=sha256:da5f999ddea0614977dff0c1b7e82b9591922ee5d7030948313f6e32a61a3c61

Observation 9b0db425-6e8e-4eaa-81ae-00bf18f7f964 · inbound

Decision-Focused Learning: When and Why Traditional Prediction Models Fail cites this paper.

Decision-Focused Learning: When and Why Traditional Prediction Models Fail Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:29:38.071814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T14:24:06.504778Z digest=sha256:81be1e23ca40e66a32c2ba7e77804d94214baf2fc55223f9da499cb7c42b238e