{"as_of":"2026-08-11T06:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2ea5c7b26eb64e0e77d088769b6cb1f579827ee8c34d7fc84cd14b52e708b647","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":"2026-08-11T06:34:44.6726+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":"2026-08-07T14:29:38.240598Z","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":"2026-08-07T14:30:05.555984Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.00969","last_updated":"2024-03-21T17:52:22Z","snapshot_observed_at":"2026-08-05T00:52:25.000719Z","submitted_at":"2023-05-01T17:56:32Z","title":"CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds","version":7},"cited_work":{"arxiv_id":"2305.00969","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.00969","snapshot_observed_at":"2026-08-07T14:30:05.555984Z","title":"CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds","venue":"cs.SD","work_id":"63b6ba4c-d0c7-4ad0-a9f2-5fb189d5bd2e","year":2023},"citing_paper":{"arxiv_id":"2506.13970","last_updated":"2025-05-24T20:32:31Z","snapshot_observed_at":"2026-08-09T00:03:29.940105Z","submitted_at":"2025-05-24T20:32:31Z","title":"Making deep neural networks work for medical audio: representation, compression and domain adaptation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:29:38.240598Z"},"links":{"cited_paper":"/paper/2305.00969","citing_paper":"/paper/2506.13970"},"observation_digest":"sha256:0535bc6637f0a5b75d579f1b882533a2dc4bbd0e62f0b4942ec0b83c8f06c9b2","observation_id":"d403a1f3-e476-4455-944f-1de39e49db5b","resolution":{"observed_at":"2026-08-07T14:30:05.659393Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.00969/citation-record","integrity":"/paper/2305.00969/integrity","json":"/paper/2305.00969/citation-record.json","paper":"/paper/2305.00969"},"outbound":[],"paper":{"arxiv_id":"2305.00969","last_updated":"2024-03-21T17:52:22Z","latest_version":7,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-05T00:52:25.000719Z","submitted_at":"2023-05-01T17:56:32Z","title":"CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.00969."}