Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2304.06833.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T10:27:02.755521Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation ec778403-1b82-40ab-b9f7-d02c2ba9a019 · inbound
Pessimistic bilevel optimization approach for decision-focused learning Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04830222-3616-4505-9298-4c1738046321 · inbound
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
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 Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Reference 23
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 Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Reference 64
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 Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Reference 11
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 Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Reference 8
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 Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Reference 12
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 Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Reference 19
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 Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Reference 109
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 Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.