{"as_of":"2026-08-09T06:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:31968008c95a10aea23dedb05272da67af266c0dacaf64697453b68c5f7bb0c7","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":"2026-08-07T13:05:02.161722Z","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":"2026-08-05T13:25:27.473351Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1911.06784","last_updated":"2020-12-21T07:15:17Z","snapshot_observed_at":"2026-07-06T08:37:23.295360Z","submitted_at":"2019-11-15T18:00:14Z","title":"Learning an Optimally Reduced Formulation of OPF through Meta-optimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.06784","snapshot_observed_at":"2026-08-07T13:05:02.161722Z","title":"Learning an optimally reduced formulation of OPF through meta-optimization","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2505.22825","last_updated":"2025-05-28T20:10:04Z","snapshot_observed_at":"2026-08-08T06:28:22.371765Z","submitted_at":"2025-05-28T20:10:04Z","title":"PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T13:05:02.161722Z"},"links":{"cited_paper":"/paper/1911.06784","citing_paper":"/paper/2505.22825"},"observation_digest":"sha256:6722bdce44453d14818f778300c7b41b7c974254eb623432cbe2664dd2f4a396","observation_id":"bac64870-4644-49ff-bd0a-1cf2b21e09e3","resolution":{"observed_at":"2026-08-07T13:05:02.161722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.06784","last_updated":"2020-12-21T07:15:17Z","snapshot_observed_at":"2026-07-06T08:37:23.295360Z","submitted_at":"2019-11-15T18:00:14Z","title":"Learning an Optimally Reduced Formulation of OPF through Meta-optimization","version":3},"cited_work":{"arxiv_id":"1911.06784","doi":null,"metadata_source":"pith","pith_arxiv_id":"1911.06784","snapshot_observed_at":"2026-08-05T13:25:27.473351Z","title":"Learning an Optimally Reduced Formulation of OPF through Meta-optimization","venue":"eess.SP","work_id":"e5f94228-52c6-4046-8fe4-7828e7c03374","year":2019},"citing_paper":{"arxiv_id":"2509.00655","last_updated":"2025-08-31T01:29:53Z","snapshot_observed_at":"2026-08-08T14:36:00.904372Z","submitted_at":"2025-08-31T01:29:53Z","title":"Revisiting Deep AC-OPF","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T13:25:26.799074Z"},"links":{"cited_paper":"/paper/1911.06784","citing_paper":"/paper/2509.00655"},"observation_digest":"sha256:6fea6b55d86099983e5b8959a2f445de32c7e2690adfff2ccdc74fdff2818a0f","observation_id":"982f7fcf-cd08-4c81-81b2-b81836b3be04","resolution":{"observed_at":"2026-08-05T13:25:27.478226Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/1911.06784/citation-record","integrity":"/paper/1911.06784/integrity","json":"/paper/1911.06784/citation-record.json","paper":"/paper/1911.06784"},"outbound":[],"paper":{"arxiv_id":"1911.06784","last_updated":"2020-12-21T07:15:17Z","latest_version":3,"primary_category":"eess.SP","snapshot_observed_at":"2026-07-06T08:37:23.295360Z","submitted_at":"2019-11-15T18:00:14Z","title":"Learning an Optimally Reduced Formulation of OPF through Meta-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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.06784."}