Paper Citation Record · LEDGER

Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2304.06833.

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

pith.paper-citation-record.v1
2304.06833 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:54:20.911311Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 04830222-3616-4505-9298-4c1738046321 · inbound

Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents cites this paper.

Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T11:54:20.911311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c176831-df6a-4dbd-bb96-999514f594a0 · inbound

Risk-averse Decision Making with Contextual Information: Model, Sample Average Approximation, and Kernelization cites this paper.

Risk-averse Decision Making with Contextual Information: Model, Sample Average Approximation, and Kernelization Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:25:19.309229Z

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.

Observation d1d9fb1b-fc39-42fa-b10d-ad9022fd2c85 · inbound

Risk-Controlled Post-Processing of Decision Policies cites this paper.

Risk-Controlled Post-Processing of Decision Policies Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

Reference 64

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:36:16.722110Z

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.

Observation 59a73221-e902-45ec-9cc0-7f7bf08280a6 · inbound

Conformal Risk-Averse Decision Making with Action Conditional Guarantee cites this paper.

Conformal Risk-Averse Decision Making with Action Conditional Guarantee Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T15:27:05.466173Z

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.

Observation 793b32cf-e863-4613-bee8-2357d9c00319 · inbound

Scaling Decision-Focused Learning to Large Problems with Lagrangian Decomposition cites this paper.

Scaling Decision-Focused Learning to Large Problems with Lagrangian Decomposition Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:57:25.971657Z

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.

Observation 91a464b7-eb97-46c0-a7d0-c88da1b18a87 · inbound

A Solver-Free Training Method for Predict-then-Optimize cites this paper.

A Solver-Free Training Method for Predict-then-Optimize Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T02:59:25.334108Z

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.

Observation 1da1b6a4-b321-4c17-b84c-10839b966a1b · inbound

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

Decision-Focused Learning: When and Why Traditional Prediction Models Fail Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-26T14:29:30.976450Z

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.

Observation 23ee7095-0324-4958-9ac8-19d0ac7c76e9 · inbound

Weak-to-Strong Learning in Decision Making cites this paper.

Weak-to-Strong Learning in Decision Making Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-01T15:26:11.466825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeacad47-f420-449b-bd89-1ff9bdb2d19f · inbound

End-to-End Fairness Optimization with Fair Decision-Focused Learning cites this paper.

End-to-End Fairness Optimization with Fair Decision-Focused Learning Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T07:10:55.428900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.