{"as_of":"2026-08-17T22:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:01de58e8e4707bc785799bd32a7512f20876229e6702ab833b1e3901b8d78201","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":"2026-08-17T06:30:58.91139+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":"2026-08-16T04:44:27.606028Z","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":"2026-08-16T04:44:27.646736Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.12014","last_updated":"2023-06-26T12:37:56Z","snapshot_observed_at":"2026-08-16T15:59:58.189670Z","submitted_at":"2023-01-26T14:58:37Z","title":"normflows: A PyTorch Package for Normalizing Flows","version":2},"cited_work":{"arxiv_id":"2302.12014","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.12014","snapshot_observed_at":"2026-08-16T04:44:27.646736Z","title":"normflows: A PyTorch Package for Normalizing Flows","venue":"cs.LG","work_id":"98abc111-02b1-4d81-ae97-0b2cb1b680ec","year":2023},"citing_paper":{"arxiv_id":"2505.00632","last_updated":"2025-08-11T16:52:26Z","snapshot_observed_at":"2026-08-17T12:14:41.993859Z","submitted_at":"2025-05-01T16:16:47Z","title":"Detecting Modeling Bias with Continuous Time Flow Models on Weak Lensing Maps","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-16T04:44:27.606028Z"},"links":{"cited_paper":"/paper/2302.12014","citing_paper":"/paper/2505.00632"},"observation_digest":"sha256:73274b4a3c5cc661b554c9e2160d24ede1f234a46c1cb9e020cd52286cd7759b","observation_id":"78bad342-1b60-45b2-9fe3-066ff084130b","resolution":{"observed_at":"2026-08-16T04:44:27.651911Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2302.12014/citation-record","integrity":"/paper/2302.12014/integrity","json":"/paper/2302.12014/citation-record.json","paper":"/paper/2302.12014"},"outbound":[],"paper":{"arxiv_id":"2302.12014","last_updated":"2023-06-26T12:37:56Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T15:59:58.189670Z","submitted_at":"2023-01-26T14:58:37Z","title":"normflows: A PyTorch Package for Normalizing Flows"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2302.12014."}