{"as_of":"2026-08-19T05:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:13c723e227d67c51034f4774bf4cee20c4c745ce73414b43f0564a5ffa5ba66b","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:07:50.585797Z","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":"2026-08-14T10:22:33.399156Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1904.01578","last_updated":"2019-04-08T12:00:46Z","snapshot_observed_at":"2026-08-14T16:53:03.751685Z","submitted_at":"2019-04-02T12:10:23Z","title":"Unsupervised training of neural mask-based beamforming","version":2},"cited_work":{"arxiv_id":"1904.01578","doi":null,"metadata_source":"pith","pith_arxiv_id":"1904.01578","snapshot_observed_at":"2026-08-14T10:22:33.399156Z","title":"Unsupervised training of neural mask-based beamforming","venue":"cs.SD","work_id":"0322525f-87f4-438d-b1fe-03cd6fa595a8","year":2019},"citing_paper":{"arxiv_id":"1908.11307","last_updated":"2019-08-29T15:45:20Z","snapshot_observed_at":"2026-08-16T21:48:07.060442Z","submitted_at":"2019-08-29T15:45:20Z","title":"Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian Mixture Model","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T10:22:33.307731Z"},"links":{"cited_paper":"/paper/1904.01578","citing_paper":"/paper/1908.11307"},"observation_digest":"sha256:1c45c534534673d5d2978ecfe9d37d80439e2913a41da5689992bff8f61cae17","observation_id":"16c45cc3-1ba8-4567-b9b8-b0957df53522","resolution":{"observed_at":"2026-08-14T10:22:33.404698Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.01578","last_updated":"2019-04-08T12:00:46Z","snapshot_observed_at":"2026-08-14T16:53:03.751685Z","submitted_at":"2019-04-02T12:10:23Z","title":"Unsupervised training of neural mask-based beamforming","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.01578","snapshot_observed_at":"2026-08-15T23:07:50.585797Z","title":"Unsupervised training of neural mask-based beamforming","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2505.05657","last_updated":"2025-06-17T04:01:39Z","snapshot_observed_at":"2026-08-15T22:57:47.679214Z","submitted_at":"2025-05-08T21:34:35Z","title":"ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior","version":3},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T23:07:50.585797Z"},"links":{"cited_paper":"/paper/1904.01578","citing_paper":"/paper/2505.05657"},"observation_digest":"sha256:7dcd1c8f89c4e125e7ff181b9888faf4dfdb874029181e99748cf64489039754","observation_id":"cff5a7e3-df5d-42e6-91e4-aa29c5a8bce6","resolution":{"observed_at":"2026-08-15T23:07:50.585797Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1904.01578/citation-record","integrity":"/paper/1904.01578/integrity","json":"/paper/1904.01578/citation-record.json","paper":"/paper/1904.01578"},"outbound":[],"paper":{"arxiv_id":"1904.01578","last_updated":"2019-04-08T12:00:46Z","latest_version":2,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-14T16:53:03.751685Z","submitted_at":"2019-04-02T12:10:23Z","title":"Unsupervised training of neural mask-based beamforming"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.01578."}