{"as_of":"2026-08-19T19:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:770a5c111fdb32f064f620e9acaece4f881b59302eb8cd7dbf629768aceb4cca","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":"2026-08-19T06:32:44.657259+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":"2026-08-14T13:46:07.454349Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-14T11:37:50.844428Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1705.07152","last_updated":"2019-03-29T19:38:59Z","snapshot_observed_at":"2026-08-19T14:11:32.449933Z","submitted_at":"2017-05-19T19:16:55Z","title":"Data-driven Optimal Cost Selection for Distributionally Robust Optimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.07152","snapshot_observed_at":"2026-08-14T13:46:07.454349Z","title":"Blanchet, Y","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.05659","last_updated":"2019-08-13T00:43:41Z","snapshot_observed_at":"2026-08-15T17:50:04.032669Z","submitted_at":"2019-08-13T00:43:41Z","title":"Distributionally Robust Optimization: A Review","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:07.454349Z"},"links":{"cited_paper":"/paper/1705.07152","citing_paper":"/paper/1908.05659"},"observation_digest":"sha256:47d682b388f499bb9a692702617c753283e0e5cfca5cc624f7aa0555d2a1676a","observation_id":"1d476343-621a-4d4a-8706-7207d40cb189","resolution":{"observed_at":"2026-08-14T13:46:07.454349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1705.07152","last_updated":"2019-03-29T19:38:59Z","snapshot_observed_at":"2026-08-19T14:11:32.449933Z","submitted_at":"2017-05-19T19:16:55Z","title":"Data-driven Optimal Cost Selection for Distributionally Robust Optimization","version":3},"cited_work":{"arxiv_id":"1705.07152","doi":null,"metadata_source":"pith","pith_arxiv_id":"1705.07152","snapshot_observed_at":"2026-08-14T11:37:50.844428Z","title":"Data-driven Optimal Cost Selection for Distributionally Robust Optimization","venue":"stat.ML","work_id":"d690f64e-dbc0-40bd-bdd3-513b59d5b575","year":2017},"citing_paper":{"arxiv_id":"1908.08729","last_updated":"2024-11-04T14:44:17Z","snapshot_observed_at":"2026-08-16T18:20:34.217316Z","submitted_at":"2019-08-23T09:28:21Z","title":"Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T11:37:50.161907Z"},"links":{"cited_paper":"/paper/1705.07152","citing_paper":"/paper/1908.08729"},"observation_digest":"sha256:5a274cfbacdac67d6ba54b958884d980493d231358136920d4311cfb25f81d62","observation_id":"403310be-d2f8-4b76-9186-aa0a09acfe53","resolution":{"observed_at":"2026-08-14T11:37:50.850029Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1705.07152/citation-record","integrity":"/paper/1705.07152/integrity","json":"/paper/1705.07152/citation-record.json","paper":"/paper/1705.07152"},"outbound":[],"paper":{"arxiv_id":"1705.07152","last_updated":"2019-03-29T19:38:59Z","latest_version":3,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-19T14:11:32.449933Z","submitted_at":"2017-05-19T19:16:55Z","title":"Data-driven Optimal Cost Selection for Distributionally Robust 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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1705.07152."}