Paper Citation Record · LEDGER

Uncertainty Quantification in Data-Driven Inverse Optimization via Bayesian Inference

As of 10 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2605.25288.

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

pith.paper-citation-record.v1
2605.25288 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T23:19:15.728254Z

measured 6 of 6 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

verified exact0
verified fuzzy0
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a501785-931b-4376-a7a0-07aa569438f8 · outbound

This paper cites Chan, Sandholtz, and Yousefi:Uncertainty Quantification in IO 21 Ahuja RK, Orlin JB (2001) Inverse optimization.Operations research49(5):771–783.

Uncertainty Quantification in Data-Driven Inverse Optimization via Bayesian Inference Chan, Sandholtz, and Yousefi:Uncertainty Quantification in IO 21 Ahuja RK, Orlin JB (2001) Inverse optimization.Operations research49(5):771–783

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T23:19:15.728254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 609caad7-e3e0-4c42-bae4-26b92326252e · outbound

This paper cites Esfahani PM, Shafieezadeh-Abadeh S, Hanasusanto GA, Kuhn D (2018) Data-driven inverse optimization with imper- fect information.Mathematical Programming167(1):191–234.

Uncertainty Quantification in Data-Driven Inverse Optimization via Bayesian Inference Esfahani PM, Shafieezadeh-Abadeh S, Hanasusanto GA, Kuhn D (2018) Data-driven inverse optimization with imper- fect information.Mathematical Programming167(1):191–234

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T23:19:15.728254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70eea1b5-e6bc-4748-b596-acf272b87008 · outbound

This paper cites Gurobi Optimization, LLC (2026) Gurobi Optimizer Reference Manual.

Uncertainty Quantification in Data-Driven Inverse Optimization via Bayesian Inference Gurobi Optimization, LLC (2026) Gurobi Optimizer Reference Manual

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T23:19:15.728254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 915dd648-4b3c-4a74-a7be-2cc4dad6041c · outbound

This paper cites Inverse Optimization via Learning Feasible Regions.

Uncertainty Quantification in Data-Driven Inverse Optimization via Bayesian Inference Inverse Optimization via Learning Feasible Regions

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T23:24:01.515830Z

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 ab19e682-92ca-4118-b7c3-d4ae6b2024c1 · outbound

This paper cites In our implementation, however, we adopt a symmetric approximation for numerical efficiency.

Uncertainty Quantification in Data-Driven Inverse Optimization via Bayesian Inference In our implementation, however, we adopt a symmetric approximation for numerical efficiency

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T23:19:15.728254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9266417-8017-42ee-8105-f3ae74c3ffcd · outbound

This paper cites an unresolved cited work.

Uncertainty Quantification in Data-Driven Inverse Optimization via Bayesian Inference Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T23:19:15.728254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.