{"as_of":"2026-08-16T17:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f2d00746d7a1a90c266ecafdd138a72ca12efdcb874edec392f375a51b76d28b","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T15:14:58.915000Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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":"2026-08-12T21:48:42.513881Z","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":"2026-08-12T21:48:43.105628Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"cited_work":{"arxiv_id":"1908.01454","doi":null,"metadata_source":"pith","pith_arxiv_id":"1908.01454","snapshot_observed_at":"2026-08-12T21:48:43.105628Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","venue":"cs.SD","work_id":"313497fa-7385-49f8-8077-e7b9efb6f43f","year":2019},"citing_paper":{"arxiv_id":"2411.08316","last_updated":"2024-11-14T19:30:50Z","snapshot_observed_at":"2026-08-16T17:07:41.389888Z","submitted_at":"2024-11-13T03:51:58Z","title":"Evaluating Synthetic Command Attacks on Smart Voice Assistants","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T21:48:42.513881Z"},"links":{"cited_paper":"/paper/1908.01454","citing_paper":"/paper/2411.08316"},"observation_digest":"sha256:7eea28845a6c6670d4f78fb84c958634cd43eaa67ad9778eff86c988825db831","observation_id":"6318e78f-f378-4034-8f04-9c6cdb6cccbe","resolution":{"observed_at":"2026-08-12T21:48:43.112230Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1908.01454/citation-record","integrity":"/paper/1908.01454/integrity","json":"/paper/1908.01454/citation-record.json","paper":"/paper/1908.01454"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.247765Z","title":"white-boxed","venue":null,"work_id":"59f7d357-ad8f-43e2-b194-a5a3192052e9","year":null},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.806981Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:20706065747b3c69addfe549702ce8157ed40e531550115c37d350155912f056","observation_id":"b50dc955-4a75-4eb2-9b9b-df1de91eaccb","resolution":{"observed_at":"2026-08-14T15:14:59.251195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.237520Z","title":null,"venue":null,"work_id":"92feda40-14fd-4ed6-8b5c-d4151c81e7ef","year":null},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.811438Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:fe1f45eee1c88c3e920e74a855b050fb00522990f631d77387886c6432a0462a","observation_id":"4f9a3fe9-97e2-4d24-a0ec-a98c2722e912","resolution":{"observed_at":"2026-08-14T15:14:59.240863Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.227598Z","title":null,"venue":null,"work_id":"7e69fb9f-ed46-4c6a-a5e7-3e9c2d65ec09","year":null},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.815026Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:980169fe787a77ef0e294581e891904c239ec9d2f348bee8b61c2b0274c12b31","observation_id":"d7a1e5d1-8fa2-4d4c-85fc-ca2cae592a60","resolution":{"observed_at":"2026-08-14T15:14:59.230840Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.217903Z","title":"NonparaVC","venue":null,"work_id":"4109550e-22f7-4d81-b6b9-1369a9f1936d","year":null},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.818813Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:354d1e414b572022cc7828c550b2ed6bc546cd750362a53ee65d2e4c4996f1f5","observation_id":"6cbfaa06-ad41-431c-85ad-97f443a1ec3d","resolution":{"observed_at":"2026-08-14T15:14:59.221357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.207955Z","title":"Bold indicates the method preferred more with p-value < 0","venue":null,"work_id":"1b30c2d6-88bb-41b8-b6fb-d7c0e47c1295","year":null},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.822714Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:13e86545b288b2dd4cf7db3f2943a8deabf455bfb7ce7cacdd4ad5e7fda25d58","observation_id":"927de0ba-8341-4617-b0ed-d8c854c841af","resolution":{"observed_at":"2026-08-14T15:14:59.211717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.198233Z","title":"Front-end factor analysis for speaker verification,","venue":null,"work_id":"ccf4f427-f127-4c9a-9896-f84170966bd5","year":2011},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.826488Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:a1444ae0155be497ac1d33b64bf2eebd289905b78b4aa20efdf8751f30e0a9b2","observation_id":"6e49af7e-2602-4be7-8b41-62a62ffe694a","resolution":{"observed_at":"2026-08-14T15:14:59.201772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.188606Z","title":"Deep neural networks for small footprint text- dependent speaker verification,","venue":null,"work_id":"4a9b3e39-54da-46c9-9831-455826ebdeb9","year":2014},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.830176Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:d308b9177e5fd21276a77ce48cba41d855307b9ae29caa8143414c5e4ea0116b","observation_id":"3f64c2bf-9a3c-4df2-8566-308fb9373e6a","resolution":{"observed_at":"2026-08-14T15:14:59.192091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.178864Z","title":"Automatic gain control and multi-style training for ro- bust small-footprint keyword spotting with deep neural networks,","venue":null,"work_id":"129054bb-56fc-4323-9b3c-87a55c393307","year":2015},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.833626Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:e5d6e9e800ab9fcfdcb817b75efe97e818e5117e9ea8476afec110d20b9d6714","observation_id":"2d5924e9-95ef-4592-a8aa-d41ed5870a26","resolution":{"observed_at":"2026-08-14T15:14:59.182498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.169478Z","title":"Continuous probabilis- tic transform for voice conversion,","venue":null,"work_id":"42bc1d2b-8e9f-4cc7-98c4-67cc0ba5048e","year":1998},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.837428Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:efe0ddb18ff4d0b18515f109375c5c1dd908504b2763530a0f8984fd7e453e36","observation_id":"aa4b9dee-96e9-4035-ba39-fd2e683d9b43","resolution":{"observed_at":"2026-08-14T15:14:59.172876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.158807Z","title":"V oice conversion bas ed on maximum likelihood estimation of spectral parameter traje ctory,","venue":null,"work_id":"48d059da-3cfe-4840-875c-0ae685912526","year":2007},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.840891Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:23675cb4ed099b99d4da0025c2b608d1b2b131128c31752cd4dcd19718c2ceba","observation_id":"86bb3122-940d-4e23-9265-44f0e755f8be","resolution":{"observed_at":"2026-08-14T15:14:59.163131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.149394Z","title":"Statistical parametric speech synthesis incorporating generative adversarial ne tworks,","venue":null,"work_id":"2438e85a-e165-40f9-b6c0-25cb32af69cf","year":2018},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.844188Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:7f7ed40b9cbe251f310690d88481e65097a3f860d3bf534d8833444dddcde6c9","observation_id":"187ff110-90ac-47ae-91ee-27896f8ec66c","resolution":{"observed_at":"2026-08-14T15:14:59.152677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.139977Z","title":"Phonetic post e- riorgrams for many-to-one voice conversion without parall el data training,","venue":null,"work_id":"c38dbbf9-df4f-460d-9485-4c20877578e0","year":2016},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.847749Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:4f36e6a0a393a2183e88548c302ccf0b3da6fb3f693ae21dba51973866d9534c","observation_id":"3ec9dd9b-1bb0-4db8-934d-c11126a6e8d2","resolution":{"observed_at":"2026-08-14T15:14:59.143532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.130182Z","title":"V oice conversion using artificial neural net works,","venue":null,"work_id":"3e775176-4e7b-46a7-b5f6-623d5c2d0137","year":2009},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.850931Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:afdfd91d3bd3374faf5080348165e829ee827922980be8021618ecbde692443d","observation_id":"fe7cdc0e-b751-448b-86bb-17e2f7cba57a","resolution":{"observed_at":"2026-08-14T15:14:59.133561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.120508Z","title":"Non-pa rallel voice conversion using variational autoencoders conditio ned by phonetic posteriorgrams and d-vectors,","venue":null,"work_id":"1b328a52-b30a-49d5-8c78-6f5f8d716952","year":2018},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.854262Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:f302130f998bbfef43dc9ce21f2cc54f2856f4cee84ca718333360caafb8c278","observation_id":"a1ab819a-9e1d-4978-bc96-1ad19c72d1e7","resolution":{"observed_at":"2026-08-14T15:14:59.124038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.110429Z","title":"Synthetic speech de tec- tion using temporal modulation feature,","venue":null,"work_id":"34b6021c-1f53-4d27-9d05-66cb503d28ab","year":2013},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.857371Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:47d3ca51754b290e388b608551e61bb772582ac95ea6f7b256c9f6ff5284e0e8","observation_id":"00d82e2e-ca37-497e-b10d-0cecbd7926a7","resolution":{"observed_at":"2026-08-14T15:14:59.113930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.099906Z","title":"Vulnerability in speaker verifi- cation - a study of technical impostor techniques,","venue":null,"work_id":"f7eaa33a-9c00-4665-8022-64ee139019b4","year":1999},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.860646Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:7a6194ced19126d3719e06be46e580e83d8c5b719a9a9b5f7b10af8d9f9322d3","observation_id":"0c044b66-9c69-482f-b3d8-0b4656290fc5","resolution":{"observed_at":"2026-08-14T15:14:59.103342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.089580Z","title":"Can we use speaker recognition technology to attack itself ? en- hancing mimicry attacks using automatic target speaker sel ec- tion,","venue":null,"work_id":"33c2f39b-884a-4754-a141-80c0fecbb6db","year":2019},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.863902Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:51f5b96096d998e5c1a99bf5be4fb43b0c95a916943e396a75d420b617102fec","observation_id":"a9c01657-5e38-49a3-9cf5-1effae4ab435","resolution":{"observed_at":"2026-08-14T15:14:59.093684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.11793","last_updated":"2019-08-19T02:22:51Z","snapshot_observed_at":"2026-08-14T18:08:14.307030Z","submitted_at":"2018-10-28T10:50:24Z","title":"Robust Audio Adversarial Example for a Physical Attack","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.11793","snapshot_observed_at":"2026-08-14T15:14:58.866972Z","title":"Robust audio adversarial exam ple for a physical attack,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.866972Z"},"links":{"cited_paper":"/paper/1810.11793","citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:6881baccc6744caa2ed02ed8922a8ad50ab64d04681ccc48acca525490051e85","observation_id":"798c0c1e-1c79-4bbb-8579-2cf5b89dbfa7","resolution":{"observed_at":"2026-08-14T15:14:58.866972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6572","last_updated":"2015-03-20T20:19:16Z","snapshot_observed_at":"2026-08-12T17:13:46.394331Z","submitted_at":"2014-12-20T01:17:12Z","title":"Explaining and Harnessing Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6572","snapshot_observed_at":"2026-08-14T15:14:58.870764Z","title":"Explainin g and har- nessing adversarial examples,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.870764Z"},"links":{"cited_paper":"/paper/1412.6572","citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:425a14516cfd930c29a8aa49c13f95986b9a661a46d0cb49272d10094572ee59","observation_id":"0aa8841f-0953-4641-b3ee-2cde22452ec1","resolution":{"observed_at":"2026-08-14T15:14:58.870764Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.078356Z","title":"Classifier-to-generator atta ck: Esti- mation of training data distribution from classifier,","venue":null,"work_id":"440ae644-b38d-4e8b-8df5-5546016bbfb8","year":2018},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.874392Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:0c6a691bc7bea77dcd8062b4cb5de8da14595afb041d3ff5435e1c501515a38e","observation_id":"c99c0916-5f67-4891-b825-5a80df4cc363","resolution":{"observed_at":"2026-08-14T15:14:59.082244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.05506","last_updated":"2020-03-16T10:27:24Z","snapshot_observed_at":"2026-08-14T16:48:17.568446Z","submitted_at":"2019-04-11T02:53:21Z","title":"Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?","version":2},"cited_work":{"arxiv_id":"1904.05506","doi":null,"metadata_source":"pith","pith_arxiv_id":"1904.05506","snapshot_observed_at":"2026-08-14T15:14:58.988547Z","title":"Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?","venue":"cs.LG","work_id":"86214c1b-e178-4bf6-a30f-8cfe8b87daa5","year":2019},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.877942Z"},"links":{"cited_paper":"/paper/1904.05506","citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:9ff8594f8a0ed0ef9f4a620dfe96f0373ec23aaacde584f3d737aa57fc3cacc3","observation_id":"e98dd3da-685e-40c3-8e9f-a0a9265f2820","resolution":{"observed_at":"2026-08-14T15:14:58.994224Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.04558","last_updated":"2019-01-02T19:00:05Z","snapshot_observed_at":"2026-08-14T19:04:43.084823Z","submitted_at":"2018-06-12T14:29:22Z","title":"Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.04558","snapshot_observed_at":"2026-08-14T15:14:58.881521Z","title":"Transfer learnin g from speaker verification to multispeaker text-to-speech s ynthe- sis,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.881521Z"},"links":{"cited_paper":"/paper/1806.04558","citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:e54b367d8fd2a2af5a9b234cdb123007679fa1f12a3fa1134c5328fdfdc00ff0","observation_id":"044078cb-a128-4763-9596-bb1f0f9baace","resolution":{"observed_at":"2026-08-14T15:14:58.881521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.03499","last_updated":"2016-09-19T18:04:35Z","snapshot_observed_at":"2026-08-16T05:39:41.727705Z","submitted_at":"2016-09-12T17:29:40Z","title":"WaveNet: A Generative Model for Raw Audio","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.03499","snapshot_observed_at":"2026-08-14T15:14:58.886092Z","title":"WaveNet: A generative model for raw audio,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.886092Z"},"links":{"cited_paper":"/paper/1609.03499","citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:7337dca3b0fd83f627b17f28baa9268b1fc075e11fdfb478cf6aca8bba1fa0dd","observation_id":"192b4a43-9bd2-4cb2-a71d-2e0f5ecfee05","resolution":{"observed_at":"2026-08-14T15:14:58.886092Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.067643Z","title":"End-to-end text-independen t speaker verification with flexibility in utterance duration,","venue":null,"work_id":"b49c2ce0-a83b-4dd9-b7a8-78acc709e030","year":2017},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.889765Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:c417f32504a66fa01c6037daf6b0d7b44d52c27eaf167a98f0a5a8bb79f684f3","observation_id":"f6785952-ca32-4363-9b1a-d8cfc77b5628","resolution":{"observed_at":"2026-08-14T15:14:59.071327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1701.02720","last_updated":"2017-01-10T18:30:11Z","snapshot_observed_at":"2026-08-14T21:21:46.653473Z","submitted_at":"2017-01-10T18:30:11Z","title":"Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.02720","snapshot_observed_at":"2026-08-14T15:14:58.892863Z","title":"Towards end-to-end speech recognition w ith deep convolutional neural networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.892863Z"},"links":{"cited_paper":"/paper/1701.02720","citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:001c273eaa7bd28e119fc08e4159ac2943ec7dc306196f2a23ea94a81f2b1246","observation_id":"e811ad1f-4256-4798-b8a1-3918b15eba30","resolution":{"observed_at":"2026-08-14T15:14:58.892863Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.056849Z","title":"Generative adversarial nets,","venue":null,"work_id":"eeb5ce4e-d5f5-404b-8314-137aa6384a47","year":2014},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.896487Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:1b74e35916233669229596780712227e6e57b19752d4f3e82f09cff5957e7718","observation_id":"7626d87b-fc65-4e7c-b2c1-1f95140a8a31","resolution":{"observed_at":"2026-08-14T15:14:59.060303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.04874","last_updated":"2019-05-13T06:21:59Z","snapshot_observed_at":"2026-08-14T16:33:25.407241Z","submitted_at":"2019-05-13T06:21:59Z","title":"MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.04874","snapshot_observed_at":"2026-08-14T15:14:58.899500Z","title":"MetricGAN : Gen- erative adversarial networks based black-box metric score s opti- mization for speech enhancement,","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.899500Z"},"links":{"cited_paper":"/paper/1905.04874","citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:19fd0e7b7525baa051ebd732df8e01cd8f97771807ff50aff78b88c9764642de","observation_id":"d638952c-4ced-4642-81a5-9cb7d962c1ba","resolution":{"observed_at":"2026-08-14T15:14:58.899500Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.046416Z","title":"DNN-based source enhancement self-optimized by reinforc e- ment learning using sound quality measurements,","venue":null,"work_id":"1677ade3-3da9-4b16-be9b-4e9596154aaf","year":2017},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.902851Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:cbb4f3e78fd1339d5b00c9cd42d355d835bb525a1b7ddde313523e92362eda7f","observation_id":"15143b0c-e00e-488b-9d42-4904dba39cf5","resolution":{"observed_at":"2026-08-14T15:14:59.049997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.036289Z","title":"Kawahara, I","venue":null,"work_id":"451715c7-c10c-48d4-8088-95861ab5f45e","year":1999},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.906229Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:9be1833b9292812766778e799ec858900ccc408242b0334819791f226b72ccc3","observation_id":"15029077-7207-4890-9619-b867868278c1","resolution":{"observed_at":"2026-08-14T15:14:59.039828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:59.025933Z","title":"Rectified linear units improve restricted boltzmann machines,","venue":null,"work_id":"613a148e-7daa-472b-9f14-ad8223ec4d94","year":2010},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.909047Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:11be6b734e126d9ef23cdba99bbe4868fbc3c078b6957ccadf18e9503999c694","observation_id":"88db3ae6-619b-4788-9b95-b17f07140911","resolution":{"observed_at":"2026-08-14T15:14:59.029463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:58.912047Z","title":"Adaptive subgradien t meth- ods for online learning and stochastic optimization,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.912047Z"},"links":{"citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:3f17175802de5b98aa67ac2d9506261fb9ce83db363f279478b5a81f488cacca","observation_id":"aacc597a-c8fa-421e-a130-2c83bad4bfe0","resolution":{"observed_at":"2026-08-14T15:14:58.912047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-08-14T23:50:45.029465Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-14T15:14:58.915000Z","title":"Auto-encoding variationa l bayes,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:58.915000Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/1908.01454"},"observation_digest":"sha256:2fe1e61c0e8c6d1df5eaa9fb1c412f40402044cd0cefd9d6d650776b2433d3b1","observation_id":"621016d0-367e-411b-98ae-a2fadcc12b04","resolution":{"observed_at":"2026-08-14T15:14:58.915000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"1908.01454","last_updated":"2019-08-05T03:28:13Z","latest_version":1,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-16T01:15:29.670859Z","submitted_at":"2019-08-05T03:28:13Z","title":"V2S attack: building DNN-based voice conversion from automatic speaker verification"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":1,"verified_fuzzy":21},"total_outbound_references":32},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:1908.01454."}