{"as_of":"2026-08-14T08:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5fde8ced3124dae0eaaf4bbdc90829aaa5149055c4edd9985ddb12ee19279a18","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":"2026-08-14T06:32:32.682623+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":"2026-08-06T20:31:38.657822Z","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":"2026-08-06T20:31:40.498139Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1909.05372","last_updated":"2019-09-07T03:51:13Z","snapshot_observed_at":"2026-08-10T15:35:51.464844Z","submitted_at":"2019-09-07T03:51:13Z","title":"Overton: A Data System for Monitoring and Improving Machine-Learned Products","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.05372","snapshot_observed_at":"2026-08-03T02:53:08.736607Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.09572","last_updated":"2026-07-24T09:08:00Z","snapshot_observed_at":"2026-08-06T11:11:07.339847Z","submitted_at":"2026-02-10T09:22:17Z","title":"Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T02:53:08.736607Z"},"links":{"cited_paper":"/paper/1909.05372","citing_paper":"/paper/2602.09572"},"observation_digest":"sha256:956ccdd3c5d51816bf0e3b7ea7e0e224b9172b2061f33759bf77e9aa72868182","observation_id":"166123a6-4011-4e58-a2ea-f6cb94ff0f39","resolution":{"observed_at":"2026-08-03T02:53:08.736607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.05372","last_updated":"2019-09-07T03:51:13Z","snapshot_observed_at":"2026-08-10T15:35:51.464844Z","submitted_at":"2019-09-07T03:51:13Z","title":"Overton: A Data System for Monitoring and Improving Machine-Learned Products","version":1},"cited_work":{"arxiv_id":"1909.05372","doi":null,"metadata_source":"pith","pith_arxiv_id":"1909.05372","snapshot_observed_at":"2026-08-06T20:31:40.498139Z","title":"Overton: A Data System for Monitoring and Improving Machine-Learned Products","venue":"cs.LG","work_id":"a6bae772-3b1c-4164-80d0-f69b57aeb999","year":2019},"citing_paper":{"arxiv_id":"2608.04625","last_updated":"2026-08-05T09:28:43Z","snapshot_observed_at":"2026-08-14T04:21:30.500792Z","submitted_at":"2026-08-05T09:28:43Z","title":"A/B Agent: A Self-Evolving Agent for Strategy Iteration in Industrial A/B Testing","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:38.657822Z"},"links":{"cited_paper":"/paper/1909.05372","citing_paper":"/paper/2608.04625"},"observation_digest":"sha256:afe4b5f3be810b947dd722b55cefba3c4cb13f6602df6dd23b3d8309f47acc4a","observation_id":"aaac4204-760c-4c90-9273-8c78df45053d","resolution":{"observed_at":"2026-08-06T20:31:40.569848Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1909.05372/citation-record","integrity":"/paper/1909.05372/integrity","json":"/paper/1909.05372/citation-record.json","paper":"/paper/1909.05372"},"outbound":[],"paper":{"arxiv_id":"1909.05372","last_updated":"2019-09-07T03:51:13Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T15:35:51.464844Z","submitted_at":"2019-09-07T03:51:13Z","title":"Overton: A Data System for Monitoring and Improving Machine-Learned Products"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.05372."}