{"as_of":"2026-08-08T22:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e442892347cc105917be7e45f840b48a7af2aa979d9f444a8893738e12e679b8","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:45:45.683237Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-23T02:25:19.305168Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.10081","last_updated":"2025-07-21T16:50:57Z","snapshot_observed_at":"2026-08-06T10:58:18.543470Z","submitted_at":"2023-06-16T07:07:58Z","title":"Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization","version":4},"cited_work":{"arxiv_id":"2306.10081","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.10081","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Optimizer’s information criterion: Dis- secting and correcting bias in data-driven optimization","venue":null,"work_id":"1e1d6d31-c880-4559-a7f5-107dad468012","year":2023},"citing_paper":{"arxiv_id":"2502.16607","last_updated":"2026-05-09T04:47:24Z","snapshot_observed_at":"2026-07-06T20:41:14.989836Z","submitted_at":"2025-02-23T15:26:13Z","title":"Risk-averse Decision Making with Contextual Information: Model, Sample Average Approximation, and Kernelization","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-23T02:23:27.345182Z"},"links":{"cited_paper":"/paper/2306.10081","citing_paper":"/paper/2502.16607"},"observation_digest":"sha256:852cc60b9e00d7933dbd46bd90928604b51fbbc61e1e2f6886c645bb264d9eba","observation_id":"19f79432-2d74-4c87-9a6a-1ba6d6c3d465","resolution":{"observed_at":"2026-05-23T02:25:19.308138Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.10081","last_updated":"2025-07-21T16:50:57Z","snapshot_observed_at":"2026-08-06T10:58:18.543470Z","submitted_at":"2023-06-16T07:07:58Z","title":"Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.10081","snapshot_observed_at":"2026-08-07T12:45:45.683237Z","title":"Optimizer’s information criterion: Dissecting and correcting bias in data-driven optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23565","last_updated":"2025-05-29T15:39:12Z","snapshot_observed_at":"2026-08-08T01:30:53.254755Z","submitted_at":"2025-05-29T15:39:12Z","title":"DRO: A Python Library for Distributionally Robust Optimization in Machine Learning","version":1},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:45.683237Z"},"links":{"cited_paper":"/paper/2306.10081","citing_paper":"/paper/2505.23565"},"observation_digest":"sha256:fcffe37a2f176abc348cf9a360a4a3b3e586b25dcd7736e303784025ab960702","observation_id":"f8289f45-bee2-48f2-9b4d-5a45302892e0","resolution":{"observed_at":"2026-08-07T12:45:45.683237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2306.10081/citation-record","integrity":"/paper/2306.10081/integrity","json":"/paper/2306.10081/citation-record.json","paper":"/paper/2306.10081"},"outbound":[],"paper":{"arxiv_id":"2306.10081","last_updated":"2025-07-21T16:50:57Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T10:58:18.543470Z","submitted_at":"2023-06-16T07:07:58Z","title":"Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"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."}