{"as_of":"2026-08-09T08:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f397efd5151d580eb01d98a25a007e303f64cf87c88a97de1ae0af825dfb24c2","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":"2026-08-09T06:31:02.800959+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":"2026-08-04T06:03:28.366060Z","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":"2026-07-01T23:26:22.018993Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.12703","last_updated":"2023-03-22T16:45:54Z","snapshot_observed_at":"2026-08-03T10:26:32.690402Z","submitted_at":"2023-03-22T16:45:54Z","title":"Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.12703","snapshot_observed_at":"2026-08-04T06:03:28.366060Z","title":"arXiv preprint arXiv:2303.12703 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.18662","last_updated":"2026-08-01T12:13:31Z","snapshot_observed_at":"2026-08-07T22:34:04.592381Z","submitted_at":"2026-02-20T23:47:55Z","title":"Large Causal Models for Temporal Causal Discovery","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T06:03:28.366060Z"},"links":{"cited_paper":"/paper/2303.12703","citing_paper":"/paper/2602.18662"},"observation_digest":"sha256:45f2f72eaa3c1014b658a5f2d5d17567a7fec031a89a41ff274aef05dbc6fa18","observation_id":"3bb2f695-82d5-4ed6-8359-f3495f666583","resolution":{"observed_at":"2026-08-04T06:03:28.366060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.12703","last_updated":"2023-03-22T16:45:54Z","snapshot_observed_at":"2026-08-03T10:26:32.690402Z","submitted_at":"2023-03-22T16:45:54Z","title":"Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning","version":1},"cited_work":{"arxiv_id":"2303.12703","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.12703","snapshot_observed_at":"2026-07-01T23:26:22.018993Z","title":"Virginia Aglietti, Alan Malek, Ira Ktena, and Silvia Chiappa","venue":null,"work_id":"677fda44-52a2-4075-8045-d1fc21ac2f6a","year":2023},"citing_paper":{"arxiv_id":"2606.01789","last_updated":"2026-06-01T07:09:06Z","snapshot_observed_at":"2026-08-08T14:08:06.159592Z","submitted_at":"2026-06-01T07:09:06Z","title":"Consistency evaluation of benchmarks used for causal discovery","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-28T14:25:13.422578Z"},"links":{"cited_paper":"/paper/2303.12703","citing_paper":"/paper/2606.01789"},"observation_digest":"sha256:ea40229f3a494343d8e99043b51645e13bc190471f9f17c8b86dab95840740ff","observation_id":"4475e0c5-ba51-49e7-8017-84192b3a0d99","resolution":{"observed_at":"2026-07-01T23:26:22.021068Z","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/2303.12703/citation-record","integrity":"/paper/2303.12703/integrity","json":"/paper/2303.12703/citation-record.json","paper":"/paper/2303.12703"},"outbound":[],"paper":{"arxiv_id":"2303.12703","last_updated":"2023-03-22T16:45:54Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T10:26:32.690402Z","submitted_at":"2023-03-22T16:45:54Z","title":"Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning"},"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 2 inbound Pith citation observations for arXiv:2303.12703."}