{"as_of":"2026-08-18T04:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:22a4492fc6e332af6dab30fe08844e1320046e7b3571e6a29e5d32f8f9d8b9f0","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T19:37:20.032674Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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":"2026-08-04T19:37:19.845568Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.09204","snapshot_observed_at":"2026-08-04T19:37:19.845568Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.845568Z"},"links":{"cited_paper":"/paper/2509.09204","citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:7247b31603dae4cbf0d5c8cf225ccedf0534abee8d4b62b4ea74c5a5fe03186c","observation_id":"9787d61d-9a3c-45ab-8116-b09ea132943a","resolution":{"observed_at":"2026-08-04T19:37:19.845568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.09204","snapshot_observed_at":"2026-07-31T10:28:23.243141Z","title":"Bona fide cross testing reveals weak spot in audio deepfake detection systems.arXiv preprint arXiv:2509.09204,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28351","last_updated":"2026-08-14T11:35:03Z","snapshot_observed_at":"2026-08-18T03:09:50.933803Z","submitted_at":"2026-07-30T15:21:38Z","title":"Teffic-Audio: Tell Fact from Fiction","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-31T10:28:23.243141Z"},"links":{"cited_paper":"/paper/2509.09204","citing_paper":"/paper/2607.28351"},"observation_digest":"sha256:a292c2e4eb55baf32a285c30b30067f3d9bc230266a80ae555156d5210cb1af4","observation_id":"bc341901-0631-4f9d-9ce5-1309c2066c54","resolution":{"observed_at":"2026-07-31T10:28:23.243141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2509.09204/citation-record","integrity":"/paper/2509.09204/integrity","json":"/paper/2509.09204/citation-record.json","paper":"/paper/2509.09204"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.09204","snapshot_observed_at":"2026-08-04T19:37:19.845568Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.845568Z"},"links":{"cited_paper":"/paper/2509.09204","citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:7247b31603dae4cbf0d5c8cf225ccedf0534abee8d4b62b4ea74c5a5fe03186c","observation_id":"9787d61d-9a3c-45ab-8116-b09ea132943a","resolution":{"observed_at":"2026-08-04T19:37:19.845568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.851707Z","title":"Despite this limita- tion, previous work [9,12,16] still merges synthesizer subsets into a single test set (e.g","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.851707Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:6c2d17a9d56a31c82f42a1088ed3fff1ea6afcf59f6a09806c14242e9434017d","observation_id":"c3db7060-36b3-4c75-910f-bf9efaba2d2c","resolution":{"observed_at":"2026-08-04T19:37:19.851707Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.856416Z","title":"No- tably, bona fide speech types contribute significantly to the challenges faced by ADD systems, whereas traditional ap- proaches primarily focus on the synthesizer type","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.856416Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:d9b38e811c29cfafb41e855cec9bbbb324553547ec762787a5f63f1e47162488","observation_id":"5549b5a4-d040-4b5f-90ce-1832c5e098cc","resolution":{"observed_at":"2026-08-04T19:37:19.856416Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.861172Z","title":"Our approach demon- strates greater robustness and interpretability compared to traditional evaluation methods","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.861172Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:c8df71d860d0789deb591819a5e91bd86831d2055e86c4aa61254b8228d40f92","observation_id":"66fc658f-7d89-4b9c-8bd2-ff524975b2c0","resolution":{"observed_at":"2026-08-04T19:37:19.861172Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.865996Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.865996Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:0213e90f2616bbbb95099e542f681e4de233f8961ab9314add8d55166517562b","observation_id":"e76e2344-e44d-42cd-9df5-655893b0e150","resolution":{"observed_at":"2026-08-04T19:37:19.865996Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.870523Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.870523Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:ac9651477bfd80421528ac680a3e8d0f9d1514afaae93548879c66e378a12c1f","observation_id":"09557d06-8825-42f3-a824-06debfc8474b","resolution":{"observed_at":"2026-08-04T19:37:19.870523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.875469Z","title":"In-The-Wild [25] is not included in the spoof test subsets as it uses unknown number of synthesizers","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.875469Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:cfb02ef3b13009e4e1d2c03f9632292372ce6b003c21946da3b5aa821dc6e76a","observation_id":"35971a4a-3dd2-4fe1-952b-dfb13ec0de07","resolution":{"observed_at":"2026-08-04T19:37:19.875469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.880369Z","title":"As shown in Figure 2, all models perform well in datasets created in or before 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.880369Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:3ef791fd2e18dff93559e9949343ed243a018f158815d2b270a1380e7a2eb0c4","observation_id":"4ab79dc5-985b-4dea-b109-8e2083bd2c73","resolution":{"observed_at":"2026-08-04T19:37:19.880369Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.885440Z","title":"To support further research, we provide datasets and evaluation codes, aiming to drive the development of more robust and resilient audio deepfake detec- tion models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.885440Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:63eb144d5992e6af8fd97e5cfc3c9a3aa29fa7a122eb52997a467376f65f8678","observation_id":"8c8a24be-c891-41da-9065-fda01a072c88","resolution":{"observed_at":"2026-08-04T19:37:19.885440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.890791Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.890791Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:7e094bf60bee5bc66ed63377b0e1a08416d6cc2a47c76c6681447f44a081e9f6","observation_id":"cb266d18-cfed-47f7-96f3-eb3dc146ee46","resolution":{"observed_at":"2026-08-04T19:37:19.890791Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.895206Z","title":"Robust audio deep- fake detection using ensemble confidence calibration,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.895206Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:981b8ccc730eef93a7cad3f4b9e6ef95f513219d431872b8f8debe5c091e72c0","observation_id":"983c3f8f-8b96-48ba-ab00-a01b84ff69e1","resolution":{"observed_at":"2026-08-04T19:37:19.895206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.899594Z","title":"Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.899594Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:776999513e3feb94423cdad59e9d95d61c9c09d0f893a32d54d8e2a14faa8200","observation_id":"57c075d4-d03b-407c-88ac-655fb15cc580","resolution":{"observed_at":"2026-08-04T19:37:19.899594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09512","last_updated":"2026-05-18T13:28:38Z","snapshot_observed_at":"2026-08-16T07:24:58.122087Z","submitted_at":"2024-01-17T15:09:02Z","title":"MLAAD: The Multi-Language Audio Anti-Spoofing Dataset","version":10},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09512","snapshot_observed_at":"2026-08-04T19:37:19.904207Z","title":"Mlaad: The multi-language audio anti-spoofing dataset,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.904207Z"},"links":{"cited_paper":"/paper/2401.09512","citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:00323ac1fe6d5f6cd0feb138b15a3995cc4d76ae643995778004fd263f77ab6b","observation_id":"f76eaf6c-5b5c-4348-b130-a09db64bd8a7","resolution":{"observed_at":"2026-08-04T19:37:19.904207Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07237","last_updated":"2024-06-11T13:16:09Z","snapshot_observed_at":"2026-08-16T13:44:11.201849Z","submitted_at":"2024-06-11T13:16:09Z","title":"CodecFake: Enhancing Anti-Spoofing Models Against Deepfake Audios from Codec-Based Speech Synthesis Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07237","snapshot_observed_at":"2026-08-04T19:37:19.909337Z","title":"Codecfake: Enhancing anti-spoofing models against deepfake audios from codec-based speech synthesis systems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.909337Z"},"links":{"cited_paper":"/paper/2406.07237","citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:00b4098ac9d1e3458047a23941dace3ded6c543e722971160a45b5002ccfcd02","observation_id":"6824df7e-c28d-4f3f-8f53-165621644c63","resolution":{"observed_at":"2026-08-04T19:37:19.909337Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.913987Z","title":"Asvspoof 2019: A large-scale public database of synthesized, converted and replayed speech,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.913987Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:c864e0bc923ba90d14b14351f74fae8d84c757c48e368ff91da18b4e0252a5d5","observation_id":"9fa0cca7-017f-4d7b-8f75-ac1e819c350b","resolution":{"observed_at":"2026-08-04T19:37:19.913987Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.918450Z","title":"Emofake: An initial dataset for emotion fake audio detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.918450Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:2ebf49cfa383cd23cb44febfd9ef2f8484d086477bed44554a1d6686a857c12b","observation_id":"a04ea983-ab43-4522-9a52-858bfb5a9f92","resolution":{"observed_at":"2026-08-04T19:37:19.918450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.922923Z","title":"A method of estimating the equal error rate for automatic speaker verification,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.922923Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:46d3eabecb783b6b01cf4d9dc66bed21a634fa536a45548c7ae243dce1df280a","observation_id":"2235a1cd-3eca-4171-b242-f8943ab8e71a","resolution":{"observed_at":"2026-08-04T19:37:19.922923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.927213Z","title":"Learning a self- supervised domain-invariant feature representation for general- ized audio deepfake detection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.927213Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:d5ee6dd3cf0ea553052807455e7df1b9fbeb4a5c5ee5b5fdb776485fec396ac3","observation_id":"ce114f69-56c5-4d09-961f-778545175844","resolution":{"observed_at":"2026-08-04T19:37:19.927213Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.931620Z","title":"A conformer-based classifier for variable-length utterance pro- cessing in anti-spoofing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.931620Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:8738b3fd289cecd1ffffea9994a1badcf3d581cc7ce516e0bdf6c4efecc4a602","observation_id":"68abfeae-89c4-48c8-9d4e-bf5ba4ab9eac","resolution":{"observed_at":"2026-08-04T19:37:19.931620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.19953","last_updated":"2023-06-01T06:50:06Z","snapshot_observed_at":"2026-08-16T15:27:53.166981Z","submitted_at":"2023-05-31T15:37:48Z","title":"Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.19953","snapshot_observed_at":"2026-08-04T19:37:19.935874Z","title":"Multi-dataset co- training with sharpness-aware optimization for audio anti- spoofing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.935874Z"},"links":{"cited_paper":"/paper/2305.19953","citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:e884220e12fa4836334c1b7eb3e0b4936edeb5ff502ca8cb41f66dc6e086e531","observation_id":"5ead35a1-9cfb-44d6-87eb-578ac5abd107","resolution":{"observed_at":"2026-08-04T19:37:19.935874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17246","last_updated":"2024-08-26T14:56:06Z","snapshot_observed_at":"2026-08-16T13:39:55.132562Z","submitted_at":"2024-06-25T03:24:12Z","title":"Beyond Silence: Bias Analysis through Loss and Asymmetric Approach in Audio Anti-Spoofing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17246","snapshot_observed_at":"2026-08-04T19:37:19.940817Z","title":"Beyond silence: Bias analysis through loss and asymmetric approach in audio anti-spoofing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.940817Z"},"links":{"cited_paper":"/paper/2406.17246","citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:5e518cbbfe0764d4111bf7f2a74e0b89f19fd9005697a9720931522fae6a6d26","observation_id":"19937532-bc85-40be-9541-54070cc79a19","resolution":{"observed_at":"2026-08-04T19:37:19.940817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17376","last_updated":"2024-06-25T08:50:43Z","snapshot_observed_at":"2026-08-16T13:39:51.378187Z","submitted_at":"2024-06-25T08:50:43Z","title":"Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17376","snapshot_observed_at":"2026-08-04T19:37:19.945682Z","title":"Temporal-channel modeling in multi-head self-attention for synthetic speech detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.945682Z"},"links":{"cited_paper":"/paper/2406.17376","citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:6fb0f5ed596b272b648640ee13623458aca21c3b1e8a9237cc89f6fada3610bc","observation_id":"4641ff93-3d4a-4de0-93a3-5f11e07fd094","resolution":{"observed_at":"2026-08-04T19:37:19.945682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.14602","last_updated":"2021-06-21T20:53:23Z","snapshot_observed_at":"2026-08-16T18:36:02.208042Z","submitted_at":"2021-03-26T17:09:06Z","title":"Data Quality as Predictor of Voice Anti-Spoofing Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.14602","snapshot_observed_at":"2026-08-04T19:37:19.950632Z","title":"Data quality as predictor of voice anti-spoofing generalization,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.950632Z"},"links":{"cited_paper":"/paper/2103.14602","citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:6c597d97f86f11165c98d7baeab5d19e25f681a9bec240ce4669e05450f71fa0","observation_id":"efd42055-a32a-4f2f-bd0c-fc49fa47825e","resolution":{"observed_at":"2026-08-04T19:37:19.950632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.955432Z","title":"Maxi- mum error modeling for fault-tolerant computation using maxi- mum a posteriori (map) hypothesis,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.955432Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:65e9fc617e01835758f43d12b4b820fe4630fcfb53002a26f290126779b61120","observation_id":"01871008-22a4-4c37-b38d-c67d23532c3b","resolution":{"observed_at":"2026-08-04T19:37:19.955432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.959894Z","title":"A survey of emerging threats in cybersecurity,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.959894Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:90e2d75c96cbd63e3fa1198181a27398ee43b3a4f1b5f5247f45bdaa7f02e0a2","observation_id":"988c297d-c9c4-418e-a1f7-3e0986197dd1","resolution":{"observed_at":"2026-08-04T19:37:19.959894Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.964456Z","title":"Balance, mul- tiple augmentation, and re-synthesis: A triad training strategy for enhanced audio deepfake detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.964456Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:78da2b1d2ae011c7294aebec312182ad9540e8d5284f0b60df0ba93a4b1688d8","observation_id":"6ef7dfd8-8bd3-4c75-8949-1ebbbb846952","resolution":{"observed_at":"2026-08-04T19:37:19.964456Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.968691Z","title":"Iso/iec 30107: Information technology — biometric presentation attack detection,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.968691Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:55a780a5064a534e33b96bf8d3946dd59e89adb974859194c927d7109d46eaad","observation_id":"d1043bfd-04f7-422c-9eef-2e3c24205464","resolution":{"observed_at":"2026-08-04T19:37:19.968691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17739","last_updated":"2023-05-28T14:46:54Z","snapshot_observed_at":"2026-08-16T15:28:54.245351Z","submitted_at":"2023-05-28T14:46:54Z","title":"Range-Based Equal Error Rate for Spoof Localization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.17739","snapshot_observed_at":"2026-08-04T19:37:19.972935Z","title":"Range-based equal error rate for spoof localization,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.972935Z"},"links":{"cited_paper":"/paper/2305.17739","citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:f4f8c750d82943ff47a5ad76e21537a16ab48724fa4e7401c124ba0ee69cbcf5","observation_id":"b291277e-0c24-4117-81d5-8050b2b226fb","resolution":{"observed_at":"2026-08-04T19:37:19.972935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.978002Z","title":"ASVspoof 2015: the First Auto- matic Speaker Verification Spoofing and Countermeasures Chal- lenge,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.978002Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:961e052be18b39ae07157d769382d2ae4963437363621a196282af58359e6f3d","observation_id":"fda816b9-700b-407e-a6a0-9f9ff500f17e","resolution":{"observed_at":"2026-08-04T19:37:19.978002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.982447Z","title":"A practical guide to logical access voice presentation attack detection,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.982447Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:9e04242d34bf447f2d52dc1fb3873f97e919fc61be6685cfc786ef302f6c2dc7","observation_id":"33c443a2-7cb1-4ccc-be87-1d938569869a","resolution":{"observed_at":"2026-08-04T19:37:19.982447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.986677Z","title":"The ami meeting corpus: A pre-announcement,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.986677Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:0e14f543c0f3f763aca2d149abdb4d8ac4572127e8ebc1c3b53bb7c4837335a8","observation_id":"af7a061a-76c6-4990-b59f-d3f42ca5d335","resolution":{"observed_at":"2026-08-04T19:37:19.986677Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.990903Z","title":"Lib- rispeech: an asr corpus based on public domain audio books,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.990903Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:41a3f0e5239c39ea60d35cf80f4e32772b952d448fef354318b8f066ec853f78","observation_id":"6e24cd58-4836-4cc1-8017-4d659d11411c","resolution":{"observed_at":"2026-08-04T19:37:19.990903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:19.995187Z","title":"Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit (version 0.92),","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.995187Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:43bc8f6ca900330b6bb613af4d69972f00fd0859255c3804911c30c3bc0558f1","observation_id":"477c57dc-6757-40ba-854e-3bf984d439bc","resolution":{"observed_at":"2026-08-04T19:37:19.995187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.05080","last_updated":"2022-03-01T10:38:07Z","snapshot_observed_at":"2026-08-16T18:03:54.835386Z","submitted_at":"2021-08-11T07:49:36Z","title":"FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.05080","snapshot_observed_at":"2026-08-04T19:37:19.999474Z","title":"Fakeavceleb: A novel audio-video multimodal deepfake dataset,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:19.999474Z"},"links":{"cited_paper":"/paper/2108.05080","citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:7e5030a7d036bb37feaf16a749ba4ebe6cf75410f99b0193bd143dc69003f8a3","observation_id":"d1a5aa87-3247-41c7-9ca1-eedc2355aa1d","resolution":{"observed_at":"2026-08-04T19:37:19.999474Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:20.004103Z","title":"Does audio deepfake detection generalize?","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:20.004103Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:90cf61ffe3c8843c4feac85b99ede93309bb2d8d7869d37df365679d719e8f00","observation_id":"9a4f89a1-ed58-40cc-99d3-9d8587560c1e","resolution":{"observed_at":"2026-08-04T19:37:20.004103Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:20.008461Z","title":"Av-deepfake1m: A large-scale llm-driven audio- visual deepfake dataset,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:20.008461Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:51df25b4006715c00e8565fabe24edd78a5f314f7e808fa82a012552a1a7ecbd","observation_id":"a1c9c1b0-dd7d-46e4-b8cd-8f37ad2239e2","resolution":{"observed_at":"2026-08-04T19:37:20.008461Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14743","last_updated":"2025-01-06T03:18:15Z","snapshot_observed_at":"2026-08-17T17:58:58.975102Z","submitted_at":"2024-09-23T06:41:52Z","title":"LlamaPartialSpoof: An LLM-Driven Fake Speech Dataset Simulating Disinformation Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14743","snapshot_observed_at":"2026-08-04T19:37:20.013526Z","title":"Llamapartialspoof: An llm-driven fake speech dataset simulating disinformation generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:20.013526Z"},"links":{"cited_paper":"/paper/2409.14743","citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:f9498acba2e919928912d88e74abb9e38f0429e9aae9bf400e8393bded5aa1e4","observation_id":"625d0e0e-ebf1-4939-9422-06beeb87ac0f","resolution":{"observed_at":"2026-08-04T19:37:20.013526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03645","last_updated":"2024-09-27T05:27:45Z","snapshot_observed_at":"2026-08-16T13:37:10.672781Z","submitted_at":"2024-07-04T05:35:47Z","title":"Continual Learning Optimizations for Auto-regressive Decoder of Multilingual ASR systems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03645","snapshot_observed_at":"2026-08-04T19:37:20.018441Z","title":"Continual learning op- timizations for auto-regressive decoder of multilingual asr sys- tems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:20.018441Z"},"links":{"cited_paper":"/paper/2407.03645","citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:e427bfd22bb5f5ea84940fbf6d87141d1b802fa0bcbb1b11767c7a94f1c4e774","observation_id":"33c8517f-fdd6-4482-b942-b1df29a0b323","resolution":{"observed_at":"2026-08-04T19:37:20.018441Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:20.023042Z","title":"Continual learning with embedding layer surgery and task- wise beam search using whisper,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:20.023042Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:8c2b1a55f2b40b3b6fd450334bfa5ba4897e8489d53ace9995e64ee20e1e5842","observation_id":"f21fd9cf-646f-4557-bc3c-7db76dac2d92","resolution":{"observed_at":"2026-08-04T19:37:20.023042Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:37:20.028504Z","title":"Asr model adaptation for rare words using synthetic data generated by multiple text- to-speech systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:20.028504Z"},"links":{"citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:90c0e800d12771c522c5ff635b407b2e40d0ec8dae56ddd278e232a545ccac57","observation_id":"2cf85bad-79e1-4ec3-b1e6-7086f1eadd6b","resolution":{"observed_at":"2026-08-04T19:37:20.028504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.13979","last_updated":"2020-12-15T23:19:19Z","snapshot_observed_at":"2026-08-13T17:50:33.934751Z","submitted_at":"2020-06-24T18:25:05Z","title":"Unsupervised Cross-lingual Representation Learning for Speech Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.13979","snapshot_observed_at":"2026-08-04T19:37:20.032674Z","title":"Unsupervised cross-lingual representation learning for speech recognition,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:20.032674Z"},"links":{"cited_paper":"/paper/2006.13979","citing_paper":"/paper/2509.09204"},"observation_digest":"sha256:e8b25d08b20dd452a5777ff4d4b5d2bd476c8d6e11ef01dfc16c14190360b38c","observation_id":"41b657f4-015d-434b-b217-61c7c4443fe8","resolution":{"observed_at":"2026-08-04T19:37:20.032674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.09204","last_updated":"2025-09-11T07:20:18Z","latest_version":1,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-18T00:30:10.077810Z","submitted_at":"2025-09-11T07:20:18Z","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":41,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":41},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2509.09204."}