{"as_of":"2026-08-15T18:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:27595da1137c7de57f128bb994e5c8f82ccbef7e39c35d8b5d0224d3608a5c09","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":"2026-08-15T06:32:42.880941+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":"2026-08-03T10:21:59.311216Z","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":"1912.03579","last_updated":"2019-12-08T00:08:50Z","snapshot_observed_at":"2026-08-13T04:55:30.773934Z","submitted_at":"2019-12-08T00:08:50Z","title":"Neural Networks with Cheap Differential Operators","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.03579","snapshot_observed_at":"2026-08-03T10:21:59.311216Z","title":null,"venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2601.10774","last_updated":"2026-06-09T19:36:35Z","snapshot_observed_at":"2026-08-13T17:55:40.874748Z","submitted_at":"2026-01-15T16:09:02Z","title":"Analytic Bijections for Smooth and Interpretable Normalizing Flows","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-03T10:21:59.311216Z"},"links":{"cited_paper":"/paper/1912.03579","citing_paper":"/paper/2601.10774"},"observation_digest":"sha256:5bf8dfbc6b494c96af4f5f378707d09833712cc251a4378e1ba07951fdc65067","observation_id":"3f4f6aac-8559-4411-b7b6-1e73ba772f9c","resolution":{"observed_at":"2026-08-03T10:21:59.311216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1912.03579/citation-record","integrity":"/paper/1912.03579/integrity","json":"/paper/1912.03579/citation-record.json","paper":"/paper/1912.03579"},"outbound":[],"paper":{"arxiv_id":"1912.03579","last_updated":"2019-12-08T00:08:50Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T04:55:30.773934Z","submitted_at":"2019-12-08T00:08:50Z","title":"Neural Networks with Cheap Differential Operators"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1912.03579."}