{"as_of":"2026-08-15T22:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:182967520f646420021df814f3bb5dcb6a25854c043de3c7165d151d1bae337b","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":"2026-05-13T20:52:29.032797Z","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":"2026-05-13T20:53:15.386043Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1905.08883","last_updated":"2020-01-12T23:29:16Z","snapshot_observed_at":"2026-08-14T16:28:45.885096Z","submitted_at":"2019-05-21T21:56:18Z","title":"Explainable Machine Learning for Scientific Insights and Discoveries","version":3},"cited_work":{"arxiv_id":"1905.08883","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1905.08883","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Roscher, B","venue":null,"work_id":"6baa75d6-7c5f-4a0b-a321-32aefe9dc11a","year":2020},"citing_paper":{"arxiv_id":"2604.02415","last_updated":"2026-04-28T18:09:33Z","snapshot_observed_at":"2026-08-13T15:58:31.531392Z","submitted_at":"2026-04-02T18:00:01Z","title":"Generative models on phase space","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-13T20:52:29.032797Z"},"links":{"cited_paper":"/paper/1905.08883","citing_paper":"/paper/2604.02415"},"observation_digest":"sha256:66f495313ea67f00df33ef2c3cddc0bc7849e6c884925767fabef6fb8b6113a8","observation_id":"1f906dc1-43ca-48d0-b966-331755505f19","resolution":{"observed_at":"2026-05-13T20:53:15.387633Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1905.08883/citation-record","integrity":"/paper/1905.08883/integrity","json":"/paper/1905.08883/citation-record.json","paper":"/paper/1905.08883"},"outbound":[],"paper":{"arxiv_id":"1905.08883","last_updated":"2020-01-12T23:29:16Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T16:28:45.885096Z","submitted_at":"2019-05-21T21:56:18Z","title":"Explainable Machine Learning for Scientific Insights and Discoveries"},"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:1905.08883."}