{"as_of":"2026-08-20T01:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:af0874bba9dfaa52a21668472d4edcdf8a0f5da41dc269b53e87a5cc3337a890","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":"2026-08-19T06:32:44.657259+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":"2026-08-12T21:44:06.795787Z","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":"2026-08-12T21:44:07.156722Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.13689","last_updated":"2022-06-30T08:33:44Z","snapshot_observed_at":"2026-08-19T10:55:33.320712Z","submitted_at":"2022-06-28T01:46:37Z","title":"Tiny-Sepformer: A Tiny Time-Domain Transformer Network for Speech Separation","version":2},"cited_work":{"arxiv_id":"2206.13689","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.13689","snapshot_observed_at":"2026-08-12T21:44:07.156722Z","title":"Tiny-Sepformer: A Tiny Time-Domain Transformer Network for Speech Separation","venue":"cs.SD","work_id":"c360de86-ee30-4fcb-9414-648707a18159","year":2022},"citing_paper":{"arxiv_id":"2411.08375","last_updated":"2024-11-13T06:55:18Z","snapshot_observed_at":"2026-08-18T17:07:31.351154Z","submitted_at":"2024-11-13T06:55:18Z","title":"Developing an Effective Training Dataset to Enhance the Performance of AI-based Speaker Separation Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T21:44:06.795787Z"},"links":{"cited_paper":"/paper/2206.13689","citing_paper":"/paper/2411.08375"},"observation_digest":"sha256:cfca0b9c9c35f0cf52b0c504e027df72e5f05f063e6451959ca7b6710e9fa4a8","observation_id":"da96ce6e-3e96-4322-880e-bab598c22e02","resolution":{"observed_at":"2026-08-12T21:44:07.162751Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2206.13689/citation-record","integrity":"/paper/2206.13689/integrity","json":"/paper/2206.13689/citation-record.json","paper":"/paper/2206.13689"},"outbound":[],"paper":{"arxiv_id":"2206.13689","last_updated":"2022-06-30T08:33:44Z","latest_version":2,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-19T10:55:33.320712Z","submitted_at":"2022-06-28T01:46:37Z","title":"Tiny-Sepformer: A Tiny Time-Domain Transformer Network for Speech Separation"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2206.13689."}