{"as_of":"2026-08-24T01:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0bbf9af83e1f5a858e97b0adbac5cca9054868b888e53668a8729357a67a7675","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:47:39.425464Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2505.08978/citation-record","integrity":"/paper/2505.08978/integrity","json":"/paper/2505.08978/citation-record.json","paper":"/paper/2505.08978"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:47:39.294048Z","title":"Yu and L","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.294048Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:3f128998b481bee12325f8aa20b915273265eeeda1af9729730d85a9503c1c9a","observation_id":"f53fb860-ea3d-48ea-a40c-56d89b9b9b2e","resolution":{"observed_at":"2026-08-15T21:47:39.294048Z","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":"2026-08-15T21:47:39.299676Z","title":"Fastspeech: Fast, robust and controllable text to speech,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.299676Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:da752c416e176259f1e567ed0a184d732bb038500992aee0d9f7ab0aae31b938","observation_id":"189a0324-6851-4cee-b590-e0a53b5ca740","resolution":{"observed_at":"2026-08-15T21:47:39.299676Z","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":"2026-08-15T21:47:39.793565Z","title":"An overview of speaker identification: Accuracy and robustness issues,","venue":null,"work_id":"ccf7a2e5-9171-494c-9e44-d8b843bc3906","year":2011},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.305545Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:1330040d6371aca03a4b5bddea80b3935c8036e387d141bd680f6429e466add4","observation_id":"b366c3f4-3a19-4b7f-a580-48cc986f1bfa","resolution":{"observed_at":"2026-08-15T21:47:39.797140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.13561","last_updated":"2019-05-30T01:33:31Z","snapshot_observed_at":"2026-08-21T15:49:41.330035Z","submitted_at":"2019-05-30T01:33:31Z","title":"Speaker Anonymization Using X-vector and Neural Waveform Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.13561","snapshot_observed_at":"2026-08-15T21:47:39.309325Z","title":"Speaker anonymization using x-vector and neural waveform models,","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.309325Z"},"links":{"cited_paper":"/paper/1905.13561","citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:0d3bb4d0e1e1e8d6b319838ca2af212ce24fff78d741f999bb09006bdf43e3cb","observation_id":"8464546c-0073-452c-8e07-42847fcf9ef2","resolution":{"observed_at":"2026-08-15T21:47:39.309325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.11823","last_updated":"2022-10-06T09:16:42Z","snapshot_observed_at":"2026-08-20T00:09:33.616588Z","submitted_at":"2022-02-23T23:20:30Z","title":"Differentially Private Speaker Anonymization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.11823","snapshot_observed_at":"2026-08-15T21:47:39.313741Z","title":"Differentially private speaker anonymization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.313741Z"},"links":{"cited_paper":"/paper/2202.11823","citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:b0ca822e979c049fc9157a29489a452a518160ab7cc92df75f52bb493a8c6056","observation_id":"1d199711-7879-4b63-9da2-7e99300c2f3e","resolution":{"observed_at":"2026-08-15T21:47:39.313741Z","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":"2026-08-15T21:47:39.782858Z","title":"The voiceprivacy 2020 challenge evaluation plan,","venue":null,"work_id":"4ffb5b21-0227-488d-8bb2-2873dc04a588","year":2020},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.318450Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:9b94e0f56184dafbc6c85f081637fb5ea7920133ead0aacd7284a94228957514","observation_id":"1b4e6590-1b13-4181-982e-5a174ff1730a","resolution":{"observed_at":"2026-08-15T21:47:39.786661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02677","last_updated":"2024-06-12T14:05:43Z","snapshot_observed_at":"2026-08-19T22:00:02.604229Z","submitted_at":"2024-04-03T12:20:51Z","title":"The VoicePrivacy 2024 Challenge Evaluation Plan","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02677","snapshot_observed_at":"2026-08-15T21:47:39.322485Z","title":"The voiceprivacy 2024 challenge evaluation plan,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.322485Z"},"links":{"cited_paper":"/paper/2404.02677","citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:7ad2403b9c5dfe83c8c19179761f9fc3952c8c375c84170c819962f8597a6e59","observation_id":"224e88ee-4aa6-46e8-9a43-707e54409855","resolution":{"observed_at":"2026-08-15T21:47:39.322485Z","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":"2026-08-15T21:47:39.772085Z","title":"The voiceprivacy 2022 challenge: Progress and perspectives in voice anonymisation,","venue":null,"work_id":"0a03a336-4e10-454d-afa8-9086b822aa63","year":2022},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.326370Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:4b1fab299894b982d0b7e4f607f8a57537b07d6ba03ae8f5ca222f4329a77d11","observation_id":"73e541cd-a8da-46fa-a6cc-6c8195c1acf3","resolution":{"observed_at":"2026-08-15T21:47:39.775655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.761007Z","title":"The voiceprivacy 2020 challenge: Results and findings,","venue":null,"work_id":"c147cbb7-46d4-4e69-a9e5-1995966feff7","year":2020},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.329798Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:2b7505b1ae06b2691ee9c0cbb5e2b2153e30fe3aefdd9761f52018fe27a14418","observation_id":"f5b2adf2-b2d1-473d-9125-a2222bd5756e","resolution":{"observed_at":"2026-08-15T21:47:39.764739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.333558Z","title":"X-vectors: Robust dnn embeddings for speaker recognition,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.333558Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:7e1e2c669dd77ff5ee3279eec68b6241f17713e8c2efe91519016f1c79a1692c","observation_id":"586a37d7-14d9-46ad-8dfe-bd46786160f3","resolution":{"observed_at":"2026-08-15T21:47:39.333558Z","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":"2026-08-15T21:47:39.337248Z","title":"Membership inference attacks against machine learning models,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.337248Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:1265cdd264672693403a4b0498624dcdf6319e5485386fd3ed7e534c0a39d5ca","observation_id":"59ef9a65-49c8-463d-9751-ee75eb62d8fc","resolution":{"observed_at":"2026-08-15T21:47:39.337248Z","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":"2026-08-15T21:47:39.341218Z","title":"A comprehensive survey on poisoning attacks and countermeasures in machine learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.341218Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:ca7d49169f53148e4da52718f4f9755a23fbec7030bb13787d8fb726ae2e17ee","observation_id":"aa0093c3-979c-47c0-83cc-8732cc2a05a5","resolution":{"observed_at":"2026-08-15T21:47:39.341218Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.05622","last_updated":"2018-06-27T01:49:17Z","snapshot_observed_at":"2026-08-15T02:39:00.334605Z","submitted_at":"2018-06-14T15:59:12Z","title":"VoxCeleb2: Deep Speaker Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.05622","snapshot_observed_at":"2026-08-15T21:47:39.344586Z","title":"V oxceleb2: Deep speaker recognition,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.344586Z"},"links":{"cited_paper":"/paper/1806.05622","citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:f60017829f748ad8598c14b19b76c6be2b75c9b389057093127d225e99acbe3c","observation_id":"2dc0b09b-c947-4cf9-8f41-fe52118410bb","resolution":{"observed_at":"2026-08-15T21:47:39.344586Z","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":"2026-08-15T21:47:39.726904Z","title":"Speech emotion recognition using deep learning techniques: A review,","venue":null,"work_id":"1df202ef-397a-4d3c-9a93-dfe6c48f4980","year":2019},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.348566Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:0b99b7d058f10159cf7786c7e627c8a4ef5669c89cd31eb4ec1372c90ca2f40a","observation_id":"fbc0e005-603b-4eb8-89ff-cd829a94fb5f","resolution":{"observed_at":"2026-08-15T21:47:39.730934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.715788Z","title":"Preserving privacy in speaker and speech characterisation,","venue":null,"work_id":"de63e3fb-e5ba-47a5-85e6-cb4508acff8d","year":2019},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.352162Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:c3ba9ebab6626a733a12ed9002fc5897bd676419c7bf4c3aaf77f310ea1f2177","observation_id":"d5252f0c-6f77-4049-88a8-9c942191ebe7","resolution":{"observed_at":"2026-08-15T21:47:39.719674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.08601","last_updated":"2020-05-18T11:32:14Z","snapshot_observed_at":"2026-07-06T09:21:13.394167Z","submitted_at":"2020-05-18T11:32:14Z","title":"Design Choices for X-vector Based Speaker Anonymization","version":1},"cited_work":{"arxiv_id":"2005.08601","doi":null,"metadata_source":"pith","pith_arxiv_id":"2005.08601","snapshot_observed_at":"2026-08-15T21:47:39.516935Z","title":"Design Choices for X-vector Based Speaker Anonymization","venue":"eess.AS","work_id":"36afdd65-4e1b-49e4-a5fc-9bc8d53d9776","year":2020},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.355456Z"},"links":{"cited_paper":"/paper/2005.08601","citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:cec667ea38e534d4cb12ba4418153580128a5034f6b4dc56a45cb0f4d8fb7d40","observation_id":"1c06e721-20d9-4e8d-be2d-e6c7554522e9","resolution":{"observed_at":"2026-08-15T21:47:39.520855Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.705438Z","title":"Pri- vacy and utility of x-vector based speaker anonymization,","venue":null,"work_id":"69d2f2e9-1670-473d-865a-9c6e74c3d41b","year":2022},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.359747Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:d9f9bde3e5a17796933250cef4bd4cf6388f1bb5d5bd3855cf47445a8e0dee9b","observation_id":"dd281876-5a27-4ee0-bb98-dff859fcf731","resolution":{"observed_at":"2026-08-15T21:47:39.708823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.08478","last_updated":"2021-01-21T07:33:07Z","snapshot_observed_at":"2026-08-16T18:50:59.110675Z","submitted_at":"2021-01-21T07:33:07Z","title":"A Study of F0 Modification for X-Vector Based Speech Pseudonymization Across Gender","version":1},"cited_work":{"arxiv_id":"2101.08478","doi":null,"metadata_source":"pith","pith_arxiv_id":"2101.08478","snapshot_observed_at":"2026-08-15T21:47:39.501381Z","title":"A Study of F0 Modification for X-Vector Based Speech Pseudonymization Across Gender","venue":"eess.AS","work_id":"ea07371d-c178-400a-8ad8-22d0a9ce6585","year":2021},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.363066Z"},"links":{"cited_paper":"/paper/2101.08478","citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:4118a009dbcfe8bee0597817046d7c2dff49b34f0ac354fdd49dfe8b960433e9","observation_id":"acbb5002-e6f6-4785-ba90-9fccc6c28f49","resolution":{"observed_at":"2026-08-15T21:47:39.506039Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.694048Z","title":"Speaker anonymization for personal information protection using voice con- version techniques,","venue":null,"work_id":"df0c9634-0d88-4df4-b7d2-debb5fc875cf","year":2020},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.366901Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:56d0317b93df2169b5e87109e7d3c564f6925d69b8552875c8d49e37655ffd91","observation_id":"c3071505-d4b7-4fbe-9a3c-2b6153e41674","resolution":{"observed_at":"2026-08-15T21:47:39.697982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.682623Z","title":"X-vector singular value modification and statistical-based decomposition with ensemble regression modeling for speaker anonymization system","venue":null,"work_id":"f1061cfe-eb74-41d0-a068-af558b4fad1d","year":2020},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.370359Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:6ee746639058cea05af7651de51de77928d24f13e8506d1f6eafd597f1bada22","observation_id":"bb2faae7-08c8-4daa-8102-6507c75cafc2","resolution":{"observed_at":"2026-08-15T21:47:39.687238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.671770Z","title":"Anonymizing speech with generative adversarial networks to pre- serve speaker privacy,","venue":null,"work_id":"682f396d-6d22-4bb5-bd05-a5fbb5edab6d","year":2022},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.374148Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:e5fca52762dddf7ede14438f6ba499be4502f987ab44cb83ce8e0cd3711ab609","observation_id":"d4b97b81-5f28-4b86-a50a-b08b6eb8b1bc","resolution":{"observed_at":"2026-08-15T21:47:39.676051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.661670Z","title":"On the invertibility of a voice privacy system using embedding alignment,","venue":null,"work_id":"a9e3e336-4319-4dae-b102-9c9ed0b5627b","year":2021},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.377814Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:e6beb2ebca936fbfbdddece7bc7833339033684ecc47f6b7da1a558dd52b8f46","observation_id":"ee549804-1118-4780-bff9-7b1fd9459145","resolution":{"observed_at":"2026-08-15T21:47:39.665245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.01387","last_updated":"2020-08-11T22:02:45Z","snapshot_observed_at":"2026-07-06T09:17:22.579806Z","submitted_at":"2020-05-04T11:07:52Z","title":"Introducing the VoicePrivacy Initiative","version":3},"cited_work":{"arxiv_id":"2005.01387","doi":null,"metadata_source":"pith","pith_arxiv_id":"2005.01387","snapshot_observed_at":"2026-08-15T21:47:39.485068Z","title":"Introducing the VoicePrivacy Initiative","venue":"cs.CL","work_id":"155788a2-f6e9-4009-8b5a-3f38b186ff7b","year":2020},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.381189Z"},"links":{"cited_paper":"/paper/2005.01387","citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:07fce64d6312f199858ab885e3c2a17e45c2bb2f9b1511d0ab4dd1c7727956bf","observation_id":"97475f66-47a1-4f92-bd13-fdb7b6c4c886","resolution":{"observed_at":"2026-08-15T21:47:39.490216Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.651810Z","title":"Evaluating x-vector-based speaker anonymization under white-box assessment,","venue":null,"work_id":"6886e768-bba5-4209-aa71-33577a54653f","year":2021},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.385337Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:d721f276509b2b0a45db768a285eb58dacefd964a415831a9ff5bd42a1285aa0","observation_id":"330a9b9c-1d3e-4ab3-b0f7-5aba7f358157","resolution":{"observed_at":"2026-08-15T21:47:39.655266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.641620Z","title":"V oice privacy through x-vector and cyclegan-based anonymization","venue":null,"work_id":"72e4d927-a8c3-4e1a-af09-44474a4cfdea","year":2021},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.388791Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:c318d6a95bffa7921b198d95386a08729be24f712f3b9e4db8397efa531bd80d","observation_id":"ba5072f5-1d47-4bae-9d74-f901e4aecb0c","resolution":{"observed_at":"2026-08-15T21:47:39.645213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.630219Z","title":"Privacy versus emotion preser- vation trade-offs in emotion-preserving speaker anonymization,","venue":null,"work_id":"32bd6af9-39e0-4d97-88db-723752b34054","year":2024},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.392312Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:edd1cca38f6405614c463b379a8f8e08bb71ada5f1ddf67888c0b8bda0b4eec9","observation_id":"637a3dc0-516d-453a-8913-0fb58eee55d8","resolution":{"observed_at":"2026-08-15T21:47:39.634043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.08466","last_updated":"2019-01-17T16:12:43Z","snapshot_observed_at":"2026-08-15T08:25:11.276003Z","submitted_at":"2018-12-20T10:28:00Z","title":"Fr\\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.08466","snapshot_observed_at":"2026-08-15T21:47:39.396728Z","title":"Fr \\’echet audio distance: A metric for evaluating music enhancement algorithms,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.396728Z"},"links":{"cited_paper":"/paper/1812.08466","citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:39595adeff7a1e789b112ac588e2907f82ed48ae2a26914071787420bbc97b97","observation_id":"60d00e4c-78f0-4447-bd47-c9c7a7f21c72","resolution":{"observed_at":"2026-08-15T21:47:39.396728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.02882","last_updated":"2019-04-05T06:05:00Z","snapshot_observed_at":"2026-08-15T16:44:02.859541Z","submitted_at":"2019-04-05T06:05:00Z","title":"LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.02882","snapshot_observed_at":"2026-08-15T21:47:39.400570Z","title":"Libritts: A corpus derived from librispeech for text-to- speech,","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.400570Z"},"links":{"cited_paper":"/paper/1904.02882","citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:860d653dd6c3985e324cf441f8dee05edba917f142f5e30af3ed2be9c15d31d7","observation_id":"b24f7350-c00f-4ad8-8919-9bb7232afcbf","resolution":{"observed_at":"2026-08-15T21:47:39.400570Z","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":"2026-08-15T21:47:39.619538Z","title":"Deep neural network embeddings for text-independent speaker verification","venue":null,"work_id":"51c830f3-2424-4bca-a044-c66d19a4756b","year":2017},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.404546Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:3b2f23c9a1ccd9422013d8e84ec9f82d43140fe2ab7a30b835cf887a51631896","observation_id":"26510756-04b9-46e2-8908-f3b6f232247a","resolution":{"observed_at":"2026-08-15T21:47:39.623461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.608280Z","title":"Librispeech: an asr corpus based on public domain audio books,","venue":null,"work_id":"ac11309e-7b0b-440a-9746-d75fd8dbb411","year":2015},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.408313Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:c435ee55133d6dba206630787264574446c84744607b2f1714527b2ef9f1a538","observation_id":"81a39bc4-7b3e-435f-94ba-43ea97b6a20a","resolution":{"observed_at":"2026-08-15T21:47:39.612272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.596933Z","title":"Skydocs/speaker-identification: Speaker identification using neural net","venue":null,"work_id":"10de2c78-b2af-44dc-b659-042ac13f21aa","year":2020},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.411574Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:300159300e5711ac4b58cf11b9a145a17f9959cf9c1acc535fe806dfb314facb","observation_id":"96ad51ca-5afd-409b-8a52-6f8655074378","resolution":{"observed_at":"2026-08-15T21:47:39.601014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.04356","last_updated":"2022-12-06T18:46:04Z","snapshot_observed_at":"2026-08-21T19:17:37.837527Z","submitted_at":"2022-12-06T18:46:04Z","title":"Robust Speech Recognition via Large-Scale Weak Supervision","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.04356","snapshot_observed_at":"2026-08-15T21:47:39.414893Z","title":"Robust speech recognition via large-scale weak super- vision (arxiv: 2212.04356). arxiv,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.414893Z"},"links":{"cited_paper":"/paper/2212.04356","citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:58e940fc2c2b0333c19e8bfa579b8466df82fa1aea1ec2fc795bbda6f204a2af","observation_id":"1a822b74-e86f-4af6-91ef-c113266e4591","resolution":{"observed_at":"2026-08-15T21:47:39.414893Z","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":"2026-08-15T21:47:39.586339Z","title":"” better be computer or i’m dumb","venue":null,"work_id":"1cfdf238-3559-4a5f-98e8-ff706cd30efd","year":2024},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.418750Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:19eb0ac24745c76c170b60a31b8adf8532b6c35afcc32d1755135ae27556a767","observation_id":"1cb7af57-1b95-4d16-8c8c-957412616e76","resolution":{"observed_at":"2026-08-15T21:47:39.590097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.575358Z","title":"Deepfake audio detection via mfcc features using machine learning,","venue":null,"work_id":"ed235fcf-6bdb-459f-807a-2751c638468e","year":2022},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.422108Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:d01d8d8533564d7858b9642f5b62c8ed7ac1a2b1e71b56c56501824296586abc","observation_id":"6760b5eb-2494-40de-8efe-8033f2d419e2","resolution":{"observed_at":"2026-08-15T21:47:39.579069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T21:47:39.564823Z","title":"Dp-voicepub: Differential privacy-based voice publication,","venue":null,"work_id":"e0c52a46-e720-4c45-a83e-53d6a6ba4feb","year":2023},"citing_paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:39.425464Z"},"links":{"citing_paper":"/paper/2505.08978"},"observation_digest":"sha256:e55550644e724b3492ff94660285fd6194eaf15739d4e0b3a4d52b5ae6d806b9","observation_id":"371c44a7-1f67-4bf7-9205-58d02ee0d8dc","resolution":{"observed_at":"2026-08-15T21:47:39.568403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.08978","last_updated":"2025-05-13T21:42:33Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-19T22:00:22.479598Z","submitted_at":"2025-05-13T21:42:33Z","title":"Inference Attacks for X-Vector Speaker Anonymization"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":3,"verified_fuzzy":20},"total_outbound_references":35},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.08978."}