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Paper Citation Record · LEDGER

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

As of 1 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:52:15.568143Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-23T02:23:27.345182Z digest=sha256:a50f9365154ebe7c113bb91da0450c7e5122c81fff70c1a90187ed081439dafd

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 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-05-08T04:49:25.540705Z digest=sha256:2a976f913bfc7db23860ada79591f0580d576e29aba532bcb5d9dc8400302a75

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-06-27T23:52:15.568143Z digest=sha256:936a67666c7e3a7f16b1049f6382ca34449775c132061ab395193ccd5c7f4d7b

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-06-27T18:36:24.461644Z digest=sha256:1436311ed89a557d414e62e377bbb30c5a9232ee3be92a8d4d7c5bfd5584911f

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 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-06-26T18:45:38.291747Z digest=sha256:dc3662556489bb1902c4041e9f589d26f8f590c646a225bf70df400c7cbed193

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-06-26T14:24:06.504778Z digest=sha256:9f6a6cf1857296bd0a7b62312201a6c5d4aaba436b9385d60e8e2c5ba2536352