{"as_of":"2026-08-07T11:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4643847b1eb80f2b0c441d4f8bee7a2689d2c0f7b5f841403846201bc078ad69","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T05:39:17.850117Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-18T12:46:24.116651Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.07725","last_updated":"2022-02-04T13:25:23Z","snapshot_observed_at":"2026-08-03T12:01:20.906827Z","submitted_at":"2021-11-15T12:52:50Z","title":"Investigating self-supervised front ends for speech spoofing countermeasures","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.07725","snapshot_observed_at":"2026-08-06T05:39:17.850117Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.01467","last_updated":"2025-08-02T19:11:41Z","snapshot_observed_at":"2026-08-06T05:37:57.411052Z","submitted_at":"2025-08-02T19:11:41Z","title":"Multi-Granularity Adaptive Time-Frequency Attention Framework for Audio Deepfake Detection under Real-World Communication Degradations","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-06T05:39:17.850117Z"},"links":{"cited_paper":"/paper/2111.07725","citing_paper":"/paper/2508.01467"},"observation_digest":"sha256:b000597e77e0da75c636cee6ac5c8cb3b7e43004b852910fba5379ec27cf3b81","observation_id":"0ea216e3-3c85-4d28-be7f-b442e2c50864","resolution":{"observed_at":"2026-08-06T05:39:17.850117Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.07725","last_updated":"2022-02-04T13:25:23Z","snapshot_observed_at":"2026-08-03T12:01:20.906827Z","submitted_at":"2021-11-15T12:52:50Z","title":"Investigating self-supervised front ends for speech spoofing countermeasures","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.07725","snapshot_observed_at":"2026-08-05T13:55:19.205724Z","title":"Investigating self-supervised front ends for speech spoofing countermeasures,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.00186","last_updated":"2025-08-29T18:37:57Z","snapshot_observed_at":"2026-08-07T05:00:32.890157Z","submitted_at":"2025-08-29T18:37:57Z","title":"Generalizable Audio Spoofing Detection using Non-Semantic Representations","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T13:55:19.205724Z"},"links":{"cited_paper":"/paper/2111.07725","citing_paper":"/paper/2509.00186"},"observation_digest":"sha256:8bced7bd44de855c5f43a128d8a7ddf3f1d8ccb213e9a1bd12b665b3fd11144d","observation_id":"d88ac0a8-0e34-4277-8ab3-641c88959888","resolution":{"observed_at":"2026-08-05T13:55:19.205724Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.07725","last_updated":"2022-02-04T13:25:23Z","snapshot_observed_at":"2026-08-03T12:01:20.906827Z","submitted_at":"2021-11-15T12:52:50Z","title":"Investigating self-supervised front ends for speech spoofing countermeasures","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.07725","snapshot_observed_at":"2026-08-04T20:54:13.332865Z","title":"Investigating self- supervised front ends for speech spoofing countermea- sures,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.08283","last_updated":"2025-09-10T04:56:40Z","snapshot_observed_at":"2026-08-07T09:20:26.646848Z","submitted_at":"2025-09-10T04:56:40Z","title":"Segment Transformer: AI-Generated Music Detection via Music Structural Analysis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T20:54:13.332865Z"},"links":{"cited_paper":"/paper/2111.07725","citing_paper":"/paper/2509.08283"},"observation_digest":"sha256:7eda87b4e526af2a02e3b0a7ddbeedb2aa1557c39d88dd583236c25051ababe0","observation_id":"2af3fb36-5887-4a07-921e-b4127f3643ab","resolution":{"observed_at":"2026-08-04T20:54:13.332865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.07725","last_updated":"2022-02-04T13:25:23Z","snapshot_observed_at":"2026-08-03T12:01:20.906827Z","submitted_at":"2021-11-15T12:52:50Z","title":"Investigating self-supervised front ends for speech spoofing countermeasures","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.07725","snapshot_observed_at":"2026-08-04T17:38:41.320522Z","title":"Investigating self- supervised front ends for speech spoofing countermea- sures,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.10781","last_updated":"2025-09-13T01:58:34Z","snapshot_observed_at":"2026-08-06T17:54:49.898245Z","submitted_at":"2025-09-13T01:58:34Z","title":"Emoanti: audio anti-deepfake with refined emotion-guided representations","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T17:38:41.320522Z"},"links":{"cited_paper":"/paper/2111.07725","citing_paper":"/paper/2509.10781"},"observation_digest":"sha256:8e01fa3bc922620af4f3f285ccc02a88dbb854570e990af734dcf5d39b857c2c","observation_id":"c502ab3b-0786-416f-a622-41371182ea26","resolution":{"observed_at":"2026-08-04T17:38:41.320522Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.07725","last_updated":"2022-02-04T13:25:23Z","snapshot_observed_at":"2026-08-03T12:01:20.906827Z","submitted_at":"2021-11-15T12:52:50Z","title":"Investigating self-supervised front ends for speech spoofing countermeasures","version":3},"cited_work":{"arxiv_id":"2111.07725","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.07725","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Investigating self- supervised front ends for speech spoofing countermeasures","venue":null,"work_id":"61d665f4-ecd0-4bee-8569-22b93e254cda","year":2021},"citing_paper":{"arxiv_id":"2509.24674","last_updated":"2026-05-11T10:47:35Z","snapshot_observed_at":"2026-07-06T22:31:05.409865Z","submitted_at":"2025-09-29T12:14:58Z","title":"Advancing Zero-Shot Open-Set Speech Deepfake Source Tracing","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-18T12:44:45.706352Z"},"links":{"cited_paper":"/paper/2111.07725","citing_paper":"/paper/2509.24674"},"observation_digest":"sha256:1db79186acc5b8a42cf9dc2938627656edb72b4b74d711d629b1acbd5fbe95c0","observation_id":"6cb4290a-339e-4f54-8552-ef4c8ccbb906","resolution":{"observed_at":"2026-05-18T12:46:24.119932Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2111.07725/citation-record","integrity":"/paper/2111.07725/integrity","json":"/paper/2111.07725/citation-record.json","paper":"/paper/2111.07725"},"outbound":[],"paper":{"arxiv_id":"2111.07725","last_updated":"2022-02-04T13:25:23Z","latest_version":3,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-03T12:01:20.906827Z","submitted_at":"2021-11-15T12:52:50Z","title":"Investigating self-supervised front ends for speech spoofing countermeasures"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2111.07725."}