{"as_of":"2026-08-10T03:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:40690daecb3872571947122804bbfef09159ba67a9ec04ba735f4447fd2ca2d4","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T22:25:53.467246Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2508.07086/citation-record","integrity":"/paper/2508.07086/integrity","json":"/paper/2508.07086/citation-record.json","paper":"/paper/2508.07086"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:25:53.331391Z","title":"General data protection regulation (GDPR),","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.331391Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:81a230aa6a4aab0f9e0d553ffe47e348656bf03f50542f2c28fd6afa334ab1e4","observation_id":"1d02f27e-9480-4ba7-ac31-a6b5d94790cf","resolution":{"observed_at":"2026-08-05T22:25:53.331391Z","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":"2026-08-05T22:25:53.816429Z","title":"The V oicePrivacy 2020 challenge: Results and findings,","venue":null,"work_id":"21773539-13e1-48d4-bb7e-268c4f6b3b26","year":2020},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.334594Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:a9d5fc835c833cc1b0db8075e8b92498bfd0075d3d347bb6cccf863424c6bb23","observation_id":"08482985-d7c4-4c26-8602-1c32fee7a0b9","resolution":{"observed_at":"2026-08-05T22:25:53.819232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.12468","last_updated":"2022-09-28T11:00:36Z","snapshot_observed_at":"2026-07-06T12:51:19.806173Z","submitted_at":"2022-03-23T15:05:18Z","title":"The VoicePrivacy 2022 Challenge Evaluation Plan","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.12468","snapshot_observed_at":"2026-08-05T22:25:53.337554Z","title":"The V oicePrivacy 2022 Challenge evaluation plan,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.337554Z"},"links":{"cited_paper":"/paper/2203.12468","citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:404f78fb208fe3ed5b1b4c77096537deb7acddfb9c467fd875c952f5714acaa3","observation_id":"c6c6931e-69ae-4d76-ad52-c119d495b852","resolution":{"observed_at":"2026-08-05T22:25:53.337554Z","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":"2026-08-05T22:25:53.340778Z","title":"The V oicePrivacy 2022 challenge: Progress and perspectives in voice anonymisation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.340778Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:d98d27e709d3ffc75b70ea1ab0420e30df71a6bb7069d4bf1cc04dddf77c9c78","observation_id":"2b5700fa-504a-4edb-ac8a-4db690a24059","resolution":{"observed_at":"2026-08-05T22:25:53.340778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02677","last_updated":"2024-06-12T14:05:43Z","snapshot_observed_at":"2026-08-10T00:28:30.120873Z","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":"2026-08-05T22:25:53.343550Z","title":"The V oicePri- vacy 2024 challenge evaluation plan,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.343550Z"},"links":{"cited_paper":"/paper/2404.02677","citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:f3ff551b064ae82b833c0be97b911eaec0150c167e65dbc618b313fec796a358","observation_id":"5f197030-bf1c-4030-afbc-effde2e71b5a","resolution":{"observed_at":"2026-08-05T22:25:53.343550Z","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":"2026-08-05T22:25:53.804695Z","title":"Design of voice privacy system using linear prediction,","venue":null,"work_id":"9d265a18-0510-4c0d-9432-219137361a5c","year":2020},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.347056Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:26072f6a7f90a1a2faa703b58b03a6d0002e107e258ab21e91694748cdba1f4a","observation_id":"a37dcc0a-daf3-49be-af00-d55b899ed8b2","resolution":{"observed_at":"2026-08-05T22:25:53.807982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.797296Z","title":"Adjustable de- terministic pseudonymisation of speech: Idiap-NKI’s submission to V oicePrivacy 2020 challenge,","venue":null,"work_id":"d1cf7a3a-d9a6-4091-8d25-1dc43a5d1bd9","year":2020},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.349638Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:0f2d0ae654e20566c07963f914de3d64b597c33b7febbf30689523308c7a1205","observation_id":"df55cd6d-6d6e-4c6d-89fc-d5d4bd21539d","resolution":{"observed_at":"2026-08-05T22:25:53.800184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.790243Z","title":null,"venue":null,"work_id":"f074146b-09f8-4b56-a279-515f22de8999","year":1984},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.352242Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:f2eb3caee38547b93423ce513cc5c52cfda96a6d7f769ba418fec316fa961d24","observation_id":"7fda8fca-1b94-4273-80e6-870ad713614c","resolution":{"observed_at":"2026-08-05T22:25:53.792652Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.783067Z","title":null,"venue":null,"work_id":"609d756f-facd-419d-9276-71f707d8fdbf","year":2022},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.354833Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:e5d0593e4379b22fbf026264f5ac8d7ec4722946b85ecf31fbfe118a7af23219","observation_id":"6df97f9a-189c-459e-958d-bb8b1783b6b9","resolution":{"observed_at":"2026-08-05T22:25:53.785696Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.775620Z","title":"Improving speaker de- identification with functional data analysis of f0 trajectories,","venue":null,"work_id":"4d6530a4-bc78-4101-b3cb-76db5cc30366","year":2022},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.357646Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:a731b3ac76a5ca18ab207eaa6c2de936747d5a188f4620880cef32af1c41700c","observation_id":"1a88920f-c004-4096-bde3-a7d30b3d1cfb","resolution":{"observed_at":"2026-08-05T22:25:53.778533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.767752Z","title":"Introducing the V oicePrivacy Initiative,","venue":null,"work_id":"f04b4eef-cf93-4bdb-8678-fd883f404806","year":2020},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.359987Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:cbd301fa61f543990ca1a0147b9aa16b820d34d7995e036d47c06763e15c811b","observation_id":"6e222194-f34e-4466-81ab-d81079a42f89","resolution":{"observed_at":"2026-08-05T22:25:53.770623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.760198Z","title":"Evaluating voice conversion-based privacy protection against informed attackers,","venue":null,"work_id":"d4243312-046e-420e-8880-6f10023a4737","year":2020},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.362380Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:1c9cbc3d5cda2d92878f26c5baad06a95b12ec7031d0d16b46c0e6155d9ef0f6","observation_id":"848e29f9-522a-46d0-a345-31178579a3dc","resolution":{"observed_at":"2026-08-05T22:25:53.762967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.752684Z","title":"Hltcoe jhu submission to the voice privacy challenge 2024,","venue":null,"work_id":"e43c9c57-9267-4562-bf18-08dc087a3641","year":2024},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.364893Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:573cea9c89eb3f720ab18da514f0d9f649fc0f33f314db92d9e83c75eca75cda","observation_id":"61dcf522-dd27-4948-bc8e-35ea1fac9a62","resolution":{"observed_at":"2026-08-05T22:25:53.755345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.744339Z","title":"Speaker anonymization using x-vector and neural waveform models,","venue":null,"work_id":"99f1bdbd-8173-475c-8722-18e757b75ac8","year":2019},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.367853Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:283be6a3c3766a11fba5edc828f76e93939e1ec63f7c9cf415713e65c9140f79","observation_id":"4d3513a5-ed67-4126-b88f-c193f768eba8","resolution":{"observed_at":"2026-08-05T22:25:53.747927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.736051Z","title":"Prosody is not identity: A speaker anonymization approach using prosody cloning,","venue":null,"work_id":"9922be4e-429e-4ef2-b480-d963e67bb512","year":2023},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.370631Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:f93d449efafcdbb88f5d2ae90673f3cecb325c0589d5499fc3ace9417c1120a9","observation_id":"0e7584c4-edc0-4fe2-87a6-4784f6046542","resolution":{"observed_at":"2026-08-05T22:25:53.739653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.728643Z","title":"Differentially private speaker anonymization,","venue":null,"work_id":"950348bd-9eb4-4a00-91d1-815d7aa892d6","year":2023},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.373003Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:11a1b30b72b93d856d1f39656427e22add7c8f078f751a3e62007af8580574e4","observation_id":"4fb6096b-094f-4a19-af7c-d8dc1a3d66c4","resolution":{"observed_at":"2026-08-05T22:25:53.731362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.375520Z","title":"Speaker anonymization by modifying fundamental frequency and x- vector singular value,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.375520Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:74ce43e34caf1b9c3aacd7e7b144fd366157cd9d9d2ecc4375f680fcb2396586","observation_id":"ad14c6b8-4cd0-448c-9e2c-d142e246fdb7","resolution":{"observed_at":"2026-08-05T22:25:53.375520Z","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":"2026-08-05T22:25:53.717359Z","title":"Musa: Multi-lingual speaker anonymization via serial disentanglement,","venue":null,"work_id":"c3bd76b0-1126-4303-87b0-fbda1cd8e181","year":2025},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.380624Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:8a92bf16afb28da8b1956d5e80b23c64ff0a6d8fe23aff2b4083e2d8ab9cdead","observation_id":"30d98795-f335-4940-862f-549c6d9f0e8a","resolution":{"observed_at":"2026-08-05T22:25:53.719983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.383294Z","title":"Language-independent speaker anonymization approach using self- supervised pre-trained models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.383294Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:8654ac8309454044581ebdd64a966c07ddaf8a0db37f09eb3cf0561da1e9f66e","observation_id":"5d141dea-ff06-4002-afdd-087a1c51acdf","resolution":{"observed_at":"2026-08-05T22:25:53.383294Z","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":"2026-08-05T22:25:53.705369Z","title":"Speaker anonymization using orthogonal Householder neural network,","venue":null,"work_id":"4e77a984-97d8-491f-b2cb-f9368c388c32","year":2023},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.386817Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:5c3095b85a6d0d697fa6e2f85bff72be304de695ec63ee500ef8cda56ebf7812","observation_id":"175ee15f-9fcb-4db8-8c0b-8fd7196ea196","resolution":{"observed_at":"2026-08-05T22:25:53.708992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.697628Z","title":"Distinctive and natural speaker anonymization via singular value transformation-assisted matrix,","venue":null,"work_id":"d11673cf-abcf-42ac-8032-f10d7cd2a2b1","year":2024},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.389264Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:e5924102e31fa1cce867f0e29904130c1859aab1a89c2073b4a7853f291f6094","observation_id":"3af7903d-bb6a-48dd-a7ba-0cbaf0809dd6","resolution":{"observed_at":"2026-08-05T22:25:53.700482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.690595Z","title":"Probing the feasibility of multilingual speaker anonymization,","venue":null,"work_id":"03a0d22d-2a09-492d-88f1-3942e797d3b5","year":2024},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.391852Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:e47369f015cc513d65157d4c4453a56d8df4761e9d6d288c332f77d04e3e850c","observation_id":"d119b6a9-8ebe-4196-a4cc-ffc2afab2921","resolution":{"observed_at":"2026-08-05T22:25:53.693191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.394223Z","title":"A benchmark for multi- speaker anonymization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.394223Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:a08351cd5892a480fb8462d5ab62ee75e767e157abf1a19f6b28720b4e1a93c4","observation_id":"bbbf78f6-6ecc-40e3-a5a5-416cc5af2fed","resolution":{"observed_at":"2026-08-05T22:25:53.394223Z","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":"2026-08-05T22:25:53.678700Z","title":"HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,","venue":null,"work_id":"555b827e-205c-4b0a-8684-60d28c52591c","year":2021},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.396923Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:5a2f52f07fd757f14d2e41d73c3a30cbc24a06b2178dc31145201f157f4148e0","observation_id":"886d26ca-18ec-42df-82db-51f7492d3220","resolution":{"observed_at":"2026-08-05T22:25:53.681948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.399377Z","title":"Wavlm: Large-scale self-supervised pre- training for full stack speech processing,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.399377Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:d24773c8b2ef3684fb4efa2a3f1ec5be52807ede74618a19129b5939632b9359","observation_id":"e58662dd-7de1-4bcf-928c-b719d0b440d0","resolution":{"observed_at":"2026-08-05T22:25:53.399377Z","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":"2026-08-05T22:25:53.401949Z","title":"wav2vec 2.0: A framework for self-supervised learning of speech representations,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.401949Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:a557baa44c7fd481779ccabf10d44b078ed4919d535b5ef8aa543295cf9e35f6","observation_id":"5ee8cf6f-4c85-46bd-ae2b-d62ce695124c","resolution":{"observed_at":"2026-08-05T22:25:53.401949Z","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":"2026-08-05T22:25:53.662747Z","title":"X-vectors: Robust DNN embeddings for speaker recognition,","venue":null,"work_id":"255cd9cf-726d-401f-ab70-91bf59690c81","year":2018},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.405339Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:eef77bcd9ecb5ea64f9d8e162555d37180fbfd3da2f0ff4fe63c9cbae31c99d6","observation_id":"0d26c829-85c3-4efc-be24-a90cc5fcce39","resolution":{"observed_at":"2026-08-05T22:25:53.665536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.408804Z","title":"ECAPA-TDNN: Emphasized channel attention, propagation and aggregation in TDNN based speaker verification,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.408804Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:9f4e159c7d8dcf67f2f00ad40be015ea8572e67598156f583fd6e4552181a3a7","observation_id":"7e0575e7-8db2-4b8c-be1f-8a28e0d2a566","resolution":{"observed_at":"2026-08-05T22:25:53.408804Z","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":"2026-08-05T22:25:53.644024Z","title":"Design choices for x-vector based speaker anonymization,","venue":null,"work_id":"5c8ed4e0-74f9-45f2-a1cc-783752b10ba5","year":2020},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.414297Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:45a246a43565070d38875a8e81f86bac1322fffdae8b77134b0a86ad73d38442","observation_id":"edaff113-12f5-4df5-a0dc-c0c208bbf9bd","resolution":{"observed_at":"2026-08-05T22:25:53.647073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.636074Z","title":"Privacy and utility of x-vector based speaker anonymization,","venue":null,"work_id":"fd9aeb11-a16d-4e6e-96c2-48b590e66f9f","year":2022},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.416815Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:a87479180cbf6bf913e1223ce9fcf96c6f7b82f203f37f67a551eb14bb7ae9f6","observation_id":"904c4c3e-a7ca-494e-9980-c8be2a4701b7","resolution":{"observed_at":"2026-08-05T22:25:53.639743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.628921Z","title":"Analyzing language-independent speaker anonymization framework under unseen conditions,","venue":null,"work_id":"b95401cd-27c9-4826-aa2f-fbf23838c2b2","year":2022},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.419520Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:8349a5cfe325c684e4b1c9a5e232ba872034afdf94acf2f16f011641d2ddfc51","observation_id":"4d3fb5a3-6ef4-40e7-a381-05a7d22d98eb","resolution":{"observed_at":"2026-08-05T22:25:53.631695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.621825Z","title":"HiFi-GAN: Generative adversarial net- works for efficient and high fidelity speech synthesis,","venue":null,"work_id":"034648d2-83b9-4bbb-b966-0c8834dd6608","year":2020},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.422098Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:88cc54921e1dfb8770936ac5e5b88b3a9b23ab42b7cf67626b17aa8bd5a8b4b0","observation_id":"66ccd2a3-37ed-4138-be3c-2b77650d8c3c","resolution":{"observed_at":"2026-08-05T22:25:53.624624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.613923Z","title":"Privacy versus emotion preservation trade-offs in emotion-preserving speaker anonymization,","venue":null,"work_id":"46c1fbb6-690a-43e5-9827-af4d1888a41b","year":2024},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.424751Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:3f253daa88028cc4694b486dbfb12298073c52199a14a5b5d34e22ccff34adbe","observation_id":"633084e3-e4c4-40c1-a42d-d30cba7a9132","resolution":{"observed_at":"2026-08-05T22:25:53.616898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.606654Z","title":"Anonymising elderly and pathological speech: V oice conversion using ddsp and query-by-example,","venue":null,"work_id":"2df6ba6f-c80d-4c1e-be59-7d01f5849f4e","year":2024},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.427336Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:2b20d477e90283ed7296cef07d11aa29cb37f119328940d021c194d55d4eb1cc","observation_id":"e7b8c8ca-ac6a-4a9b-af8e-01b7f357e0e5","resolution":{"observed_at":"2026-08-05T22:25:53.609393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.599329Z","title":"Comparing speech anonymization efficacy by voice conversion using knn and disentangled speaker feature representations,","venue":null,"work_id":"b06d9ced-a867-43ac-82a5-fd053ab6d795","year":2024},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.429801Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:ff20060337bbaf1071e2146127db4dab4e18a4bc4d2b81dd4d5a4df416a9c2fe","observation_id":"c012ece3-545b-4e54-819c-5412fda7aa58","resolution":{"observed_at":"2026-08-05T22:25:53.602128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.583932Z","title":"Conformer: Convolution-augmented transformer for speech recognition,","venue":null,"work_id":"bcf46d95-e1c6-42fe-8f61-44da5c9b17d4","year":2020},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.434614Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:e37317a6f24603706fc686242b0491bd013c647b9a8f591d0e1ada1a713650a5","observation_id":"0d3f9a74-4dae-487c-9db2-02c2cbb4c019","resolution":{"observed_at":"2026-08-05T22:25:53.586782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.576115Z","title":"Private knn-vc: Interpretable anonymization of converted speech,","venue":null,"work_id":"ba3748cb-cf16-4456-8fb5-da6d9f5cbc9a","year":2025},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.437023Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:c645f1a04e47792fbc981362e1503c25d77e78c7ebfae3e4758b5142d057b7c2","observation_id":"6069b3f9-4f68-4eca-b2db-9fcd9ff477ae","resolution":{"observed_at":"2026-08-05T22:25:53.579113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.567672Z","title":"SUPERB: Speech Processing Universal PERformance Benchmark,","venue":null,"work_id":"f6a68e84-cfe2-424a-a767-c21b35826b39","year":2021},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.439635Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:3db888291588f1eba314f4f6bd9af9f130dccbff685a56e802e5e8312bc1354c","observation_id":"1bafc7e9-262f-4b79-8dff-2132e9dd19e4","resolution":{"observed_at":"2026-08-05T22:25:53.571000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.559051Z","title":"LibriSpeech: an ASR corpus based on public domain audio books,","venue":null,"work_id":"2dc42429-bcdb-4720-b0f7-4c5631ddc1a0","year":2015},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.442183Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:bc8468dd37264dd284aec0301f52a27c6de0cf12d3f3f0e04dbbc79be1b863eb","observation_id":"7ee44841-f977-4b36-8fe4-1d5c256a40f1","resolution":{"observed_at":"2026-08-05T22:25:53.562749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.551334Z","title":"V oxceleb2: Deep speaker recognition,","venue":null,"work_id":"a933fdf7-c57b-4876-a2e9-9bc0d09fc8b9","year":2018},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.444782Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:1327a5983899635a8ec1b3596cbab54e378c6a8c500c548f8c061ce3dcbcc6a3","observation_id":"86dda737-7a32-4762-a4d1-d09e66cea21e","resolution":{"observed_at":"2026-08-05T22:25:53.553989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.591329Z","title":"V oice conversion with just nearest neighbors,","venue":null,"work_id":"09e66897-be30-492b-bad5-8d817dd0307b","year":2023},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.447548Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:e78331c8721d38cf59ffd8f5ada98e895362fd647ceb9dbc2b8fa8aa73a95909","observation_id":"254c8d4f-938d-48dc-9db5-fec76c727e45","resolution":{"observed_at":"2026-08-05T22:25:53.594736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.543774Z","title":"Speaker anonymization using x-vector and neural waveform models,","venue":null,"work_id":"119fe024-4d56-4882-ac33-c2f2028a1667","year":2019},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.450107Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:02ca8a79a58571d13ede32e4e04185c7fe2724d55578c2d17f3243f486deaaea","observation_id":"a5961b16-8f11-4a58-9ae8-98484d8133ec","resolution":{"observed_at":"2026-08-05T22:25:53.546607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.534922Z","title":"Anonymiz- ing speech with generative adversarial networks to preserve speaker privacy,","venue":null,"work_id":"b668bd51-eb11-491b-b5ec-44a3f8de673a","year":2023},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.453183Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:fc708c9c3243c400ada9844498393559dd6505fd260d64210bf31cf93a86bc3c","observation_id":"5e9c5a80-199d-423d-b52a-280aff9f1e1c","resolution":{"observed_at":"2026-08-05T22:25:53.537873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.651379Z","title":"Speaker anonymization using neural audio codec language models,","venue":null,"work_id":"d18c792e-c551-45e8-b2cc-c0387fe2d6ba","year":2024},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.455543Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:059f094526d5158f6e3876cedfc1eea96bc1ba84746f59b081feb7e90efd348a","observation_id":"5f8377ec-ef4a-4c37-9523-b63261df7f6b","resolution":{"observed_at":"2026-08-05T22:25:53.654044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.04455","last_updated":"2024-03-01T16:52:19Z","snapshot_observed_at":"2026-08-09T21:01:11.986258Z","submitted_at":"2023-08-05T16:14:17Z","title":"Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.04455","snapshot_observed_at":"2026-08-05T22:25:53.457785Z","title":"Anonymizing speech: Evaluating and designing speaker anonymization techniques,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.457785Z"},"links":{"cited_paper":"/paper/2308.04455","citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:7e75137df4f1eaa43c8c41583d4b2ac07d7b521f3b9fa7775920fcbcb864497d","observation_id":"b00025f1-61ad-4635-85f3-87d4de6398a8","resolution":{"observed_at":"2026-08-05T22:25:53.457785Z","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":"2026-08-05T22:25:53.459998Z","title":"Adapting general disentanglement-based speaker anonymization for enhanced emotion preservation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.459998Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:6bdac9b5fa1946852d413fc80178ceac7c6f72059be5ab66db62aa5fecfc6283","observation_id":"7f7017a4-fc9b-47c8-aae1-0b1ff9f698e8","resolution":{"observed_at":"2026-08-05T22:25:53.459998Z","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":"2026-08-05T22:25:53.522734Z","title":"Speaker anonymisation using the mcadams coefficient,","venue":null,"work_id":"d0dac340-12d5-4975-a49f-eeee34c032f7","year":2021},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.462486Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:126ec98348f78683199a4c3202be15d6196483f9a3ad67a116ebb83e5aaf9da9","observation_id":"b57550e5-76ad-4e25-956b-0cc3bf035f87","resolution":{"observed_at":"2026-08-05T22:25:53.526035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.514175Z","title":"V ocoder drift compensation by x-vector alignment in speaker anonymisation,","venue":null,"work_id":"4d40cce5-a673-4410-b657-44689fadb776","year":2023},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.464946Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:75925d8220bd44318496f2809abe9c799898cb73cb5cb2ad64c22c98c7261264","observation_id":"050a6ce9-d328-44b9-b78a-c69fd9f9242d","resolution":{"observed_at":"2026-08-05T22:25:53.517750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T22:25:53.504740Z","title":"Visualizing data using t-SNE","venue":null,"work_id":"a98ba78c-17df-420c-9a98-9bf385c3edc7","year":2008},"citing_paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T22:25:53.467246Z"},"links":{"citing_paper":"/paper/2508.07086"},"observation_digest":"sha256:a612c0d0b5993e04ca6c1d0caa1aa6d4a0b6a5bc9b0830ae86ac92fc14cf1318","observation_id":"45d565da-2f15-4965-bb80-56a666547d76","resolution":{"observed_at":"2026-08-05T22:25:53.508507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.07086","last_updated":"2025-08-15T20:56:11Z","latest_version":2,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-10T01:45:36.071190Z","submitted_at":"2025-08-09T19:47:34Z","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":35},"total_outbound_references":49},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2508.07086."}