{"as_of":"2026-08-10T03:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0aad44c43feddc13f34a09f92944706615369fcb5566e8500b76eedb59867bb0","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":"2026-08-09T06:31:02.800959+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":"2026-08-02T21:36:31.988952Z","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":"1907.08292","last_updated":"2019-07-16T10:21:15Z","snapshot_observed_at":"2026-08-08T15:17:17.992254Z","submitted_at":"2019-07-16T10:21:15Z","title":"Compositional Deep Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.08292","snapshot_observed_at":"2026-08-02T21:36:31.988952Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.19776","last_updated":"2026-07-28T15:48:12Z","snapshot_observed_at":"2026-08-07T16:45:56.692775Z","submitted_at":"2026-02-23T12:31:15Z","title":"Layered Monoidal Theories I: Diagrammatic Algebra and Applications","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T21:36:31.988952Z"},"links":{"cited_paper":"/paper/1907.08292","citing_paper":"/paper/2602.19776"},"observation_digest":"sha256:acdd24b774687360b2da5110fa020a4622078a74498ebc01ee39ee845a26cec7","observation_id":"4e8cd007-b114-4c1d-9634-2bc3de5b0b51","resolution":{"observed_at":"2026-08-02T21:36:31.988952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1907.08292/citation-record","integrity":"/paper/1907.08292/integrity","json":"/paper/1907.08292/citation-record.json","paper":"/paper/1907.08292"},"outbound":[],"paper":{"arxiv_id":"1907.08292","last_updated":"2019-07-16T10:21:15Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T15:17:17.992254Z","submitted_at":"2019-07-16T10:21:15Z","title":"Compositional Deep 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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1907.08292."}