{"as_of":"2026-08-11T21:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:72a5d568ad471a1d6683cba234a56c7410abc057b5d255a7c70f3550182a285f","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":"2026-08-11T00:49:27.674717Z","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":"2026-08-11T00:49:28.138845Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2203.17172","last_updated":"2022-03-31T16:46:32Z","snapshot_observed_at":"2026-08-11T15:07:23.975384Z","submitted_at":"2022-03-31T16:46:32Z","title":"Efficient Non-Autoregressive GAN Voice Conversion using VQWav2vec Features and Dynamic Convolution","version":1},"cited_work":{"arxiv_id":"2203.17172","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.17172","snapshot_observed_at":"2026-08-11T00:49:28.138845Z","title":"Efficient Non-Autoregressive GAN Voice Conversion using VQWav2vec Features and Dynamic Convolution","venue":"eess.AS","work_id":"90791f1b-ccd9-4954-9ce9-dd375fa9911f","year":2022},"citing_paper":{"arxiv_id":"2412.19279","last_updated":"2024-12-30T16:08:39Z","snapshot_observed_at":"2026-08-11T00:43:05.447003Z","submitted_at":"2024-12-26T16:45:20Z","title":"Improving Generalization for AI-Synthesized Voice Detection","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T00:49:27.674717Z"},"links":{"cited_paper":"/paper/2203.17172","citing_paper":"/paper/2412.19279"},"observation_digest":"sha256:af4aaea8d97754b38f64c9e5c95e4c343e51794f033bffcc2bab19604e42429a","observation_id":"987c7679-59db-4167-a7d9-cb13c50023cc","resolution":{"observed_at":"2026-08-11T00:49:28.143426Z","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/2203.17172/citation-record","integrity":"/paper/2203.17172/integrity","json":"/paper/2203.17172/citation-record.json","paper":"/paper/2203.17172"},"outbound":[],"paper":{"arxiv_id":"2203.17172","last_updated":"2022-03-31T16:46:32Z","latest_version":1,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-11T15:07:23.975384Z","submitted_at":"2022-03-31T16:46:32Z","title":"Efficient Non-Autoregressive GAN Voice Conversion using VQWav2vec Features and Dynamic Convolution"},"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:2203.17172."}