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Paper Citation Record · LEDGER

Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.10081.

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

pith.paper-citation-record.v1
2306.10081 v4

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:45.683237Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:25:19.305168Z

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 19f79432-2d74-4c87-9a6a-1ba6d6c3d465 · 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 Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:25:19.308138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T02:23:27.345182Z digest=sha256:852cc60b9e00d7933dbd46bd90928604b51fbbc61e1e2f6886c645bb264d9eba

Observation f8289f45-bee2-48f2-9b4d-5a45302892e0 · inbound

DRO: A Python Library for Distributionally Robust Optimization in Machine Learning cites this paper.

DRO: A Python Library for Distributionally Robust Optimization in Machine Learning Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:45.683237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:45.683237Z digest=sha256:fcffe37a2f176abc348cf9a360a4a3b3e586b25dcd7736e303784025ab960702