{"as_of":"2026-08-20T01:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1efe52fe583a46ed061a1ef40566f9aaf4ba573438dab6760b5c170286b10f5a","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T08:33:46.847472Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.14985","last_updated":"2022-11-03T12:31:17Z","snapshot_observed_at":"2026-08-16T17:45:48.360213Z","submitted_at":"2021-10-28T09:50:29Z","title":"A machine learning approach for fighting the curse of dimensionality in global optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14985","snapshot_observed_at":"2026-08-01T08:33:46.847472Z","title":"A machine learning approach for fighting the curse of dimensionality in global optimization.arXiv preprint arXiv:2110.14985, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21091","last_updated":"2026-07-23T09:23:16Z","snapshot_observed_at":"2026-08-14T03:15:05.537419Z","submitted_at":"2026-07-23T09:23:16Z","title":"Design and Optimization of Metasurfaces for Silicon Photonics: PhD Thesis","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-01T08:33:46.847472Z"},"links":{"cited_paper":"/paper/2110.14985","citing_paper":"/paper/2607.21091"},"observation_digest":"sha256:147862d5f5f98b9689e4523c7c9124bc26d995af9be0e6bb143f2ec966dc2dbd","observation_id":"dccb11d7-c8e8-468d-a659-d6d0d3e37076","resolution":{"observed_at":"2026-08-01T08:33:46.847472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2110.14985/citation-record","integrity":"/paper/2110.14985/integrity","json":"/paper/2110.14985/citation-record.json","paper":"/paper/2110.14985"},"outbound":[],"paper":{"arxiv_id":"2110.14985","last_updated":"2022-11-03T12:31:17Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T17:45:48.360213Z","submitted_at":"2021-10-28T09:50:29Z","title":"A machine learning approach for fighting the curse of dimensionality in global 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 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2110.14985."}