{"as_of":"2026-08-09T19:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b6fc28d793fc7d15f49ba42021878dd3351591c4d1b0120257817da0b4884891","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:25:26.774689Z","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":"2026-07-02T01:36:26.323176Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.12849","last_updated":"2023-09-22T13:22:15Z","snapshot_observed_at":"2026-07-06T16:22:21.746857Z","submitted_at":"2023-09-22T13:22:15Z","title":"DeepOPF-U: A Unified Deep Neural Network to Solve AC Optimal Power Flow in Multiple Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.12849","snapshot_observed_at":"2026-08-05T13:25:26.774689Z","title":"Deepopf-u: A unified deep neural network to solve ac optimal power flow in multiple networks, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00655","last_updated":"2025-08-31T01:29:53Z","snapshot_observed_at":"2026-08-09T13:59:01.018263Z","submitted_at":"2025-08-31T01:29:53Z","title":"Revisiting Deep AC-OPF","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T13:25:26.774689Z"},"links":{"cited_paper":"/paper/2309.12849","citing_paper":"/paper/2509.00655"},"observation_digest":"sha256:1aaa9255da1420c82ba55e77cd8b50de6b001e40e1587146eefbe9abb3bccc8f","observation_id":"c4bae55e-e2ff-4b5a-9926-72d63283c0b1","resolution":{"observed_at":"2026-08-05T13:25:26.774689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.12849","last_updated":"2023-09-22T13:22:15Z","snapshot_observed_at":"2026-07-06T16:22:21.746857Z","submitted_at":"2023-09-22T13:22:15Z","title":"DeepOPF-U: A Unified Deep Neural Network to Solve AC Optimal Power Flow in Multiple Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.12849","snapshot_observed_at":"2026-08-03T08:39:37.402279Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.16510","last_updated":"2026-07-06T14:55:50Z","snapshot_observed_at":"2026-08-07T00:38:18.433498Z","submitted_at":"2026-01-23T07:18:07Z","title":"Learning to Optimize by Differentiable Programming","version":4},"reference_index":111,"source":"pdf_text","source_observed_at":"2026-08-03T08:39:37.402279Z"},"links":{"cited_paper":"/paper/2309.12849","citing_paper":"/paper/2601.16510"},"observation_digest":"sha256:0290ccb24f7d17d5ff75ccefda6c8d5e87bc15b51ef8201fc05f07cd8f138f65","observation_id":"43f935f4-e791-433d-8fd8-3385fac757ee","resolution":{"observed_at":"2026-08-03T08:39:37.402279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.12849","last_updated":"2023-09-22T13:22:15Z","snapshot_observed_at":"2026-07-06T16:22:21.746857Z","submitted_at":"2023-09-22T13:22:15Z","title":"DeepOPF-U: A Unified Deep Neural Network to Solve AC Optimal Power Flow in Multiple Networks","version":1},"cited_work":{"arxiv_id":"2309.12849","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.12849","snapshot_observed_at":"2026-07-02T01:36:26.323176Z","title":"Deepopf-u: A unified deep neural network to solve ac optimal power flow in multiple networks,","venue":null,"work_id":"130fc9bb-4c27-49d2-88ab-5b27c48c9781","year":null},"citing_paper":{"arxiv_id":"2606.03125","last_updated":"2026-06-02T04:10:18Z","snapshot_observed_at":"2026-08-07T23:32:08.399976Z","submitted_at":"2026-06-02T04:10:18Z","title":"Rethinking Neural Width for Alternating Current Optimal Power Flow Proxies","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-28T11:36:55.493267Z"},"links":{"cited_paper":"/paper/2309.12849","citing_paper":"/paper/2606.03125"},"observation_digest":"sha256:850a9f4d142cb3469ab01dffc722f9fa12eeee3ef022aa821250107f7312d0a5","observation_id":"d111e39e-8ba0-4c9d-bac7-dd3bc196352f","resolution":{"observed_at":"2026-07-02T01:36:26.325833Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.12849/citation-record","integrity":"/paper/2309.12849/integrity","json":"/paper/2309.12849/citation-record.json","paper":"/paper/2309.12849"},"outbound":[],"paper":{"arxiv_id":"2309.12849","last_updated":"2023-09-22T13:22:15Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T16:22:21.746857Z","submitted_at":"2023-09-22T13:22:15Z","title":"DeepOPF-U: A Unified Deep Neural Network to Solve AC Optimal Power Flow in Multiple Networks"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.12849."}