{"as_of":"2026-08-10T00:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:342ab0e4144c3a683b8fc1dbd40ac763250aa47ac08bede99d4c5ea9653ee920","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T17:08:09.003978Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"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/2607.17761/citation-record","integrity":"/paper/2607.17761/integrity","json":"/paper/2607.17761/citation-record.json","paper":"/paper/2607.17761"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:08:05.873948Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:05.873948Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:fd957a5aacc215ae1de296a01af91959109fe1e6a600f31dbf0afe2a843398dc","observation_id":"cb0b6f0c-b829-4575-adb6-95da8e7872f9","resolution":{"observed_at":"2026-08-01T17:08:05.873948Z","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":"2026-08-01T17:08:06.051990Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:06.051990Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:e4374392d63924a401e30f5b4214f870c70c455c4cf977820ec83ee6e4775534","observation_id":"469aa84d-c2f5-430d-8511-66f80aea904b","resolution":{"observed_at":"2026-08-01T17:08:06.051990Z","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":"2026-08-01T17:08:06.154876Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:06.154876Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:1f8fd21b4ed165e44fa58572e7e560d7990ee65addd467b79078a36cd4e661b1","observation_id":"a061ed4a-f51a-4850-aa98-0c3be45ce12d","resolution":{"observed_at":"2026-08-01T17:08:06.154876Z","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":"2026-08-01T17:08:06.266896Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:06.266896Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:c175db7e1a577f8b4fe71c676d38796fde2086396b48aaa6bc5ca9768a7261fe","observation_id":"7f4cc6ec-0563-4b1e-b8ab-71b0bf0ebdf2","resolution":{"observed_at":"2026-08-01T17:08:06.266896Z","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":"2026-08-01T17:08:06.377266Z","title":"2025.Company Finance Director Nearly Loses Over US$499,000 to Scammers Using Deepfake to Impersonate CEO","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:06.377266Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:88acf5928eb89e0669753d151133b5c0a534c967f1438c5d28c410dd8b694210","observation_id":"3f18ce77-8ff4-4370-a8dd-6de51cffbcfa","resolution":{"observed_at":"2026-08-01T17:08:06.377266Z","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":"2026-08-01T17:08:06.525542Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:06.525542Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:3cea19158e08cdc7f7a88c665edbdf5cf92478e41ab673dc91b13a65ce64bfb9","observation_id":"d210d452-03bc-40df-887c-f44abb0612a1","resolution":{"observed_at":"2026-08-01T17:08:06.525542Z","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":"2026-08-01T17:08:06.672944Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:06.672944Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:812ea89902594b80fdd76adcc06f34a88ed5a14601085ef7ff858a09eb564759","observation_id":"c613df72-64f8-40a0-837f-2e31f10cb67e","resolution":{"observed_at":"2026-08-01T17:08:06.672944Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-01T17:08:06.783576Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:06.783576Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:59015bd001f99c0e1f3324a147666b61cff048680ad9d9b4a1cc99712524fae6","observation_id":"01149dd6-073e-45a8-9f67-fade4ea0f244","resolution":{"observed_at":"2026-08-01T17:08:06.783576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.05407","last_updated":"2024-07-09T07:42:51Z","snapshot_observed_at":"2026-07-06T18:42:34.958119Z","submitted_at":"2024-07-07T15:16:19Z","title":"CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.05407","snapshot_observed_at":"2026-08-01T17:08:06.894156Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:06.894156Z"},"links":{"cited_paper":"/paper/2407.05407","citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:bfed8897503c5c77d9192a931652411f5bb6a0306553ac5fc2cb47d2a97f1a12","observation_id":"16fe7e52-97d1-4bea-9ebd-b3da320b8c31","resolution":{"observed_at":"2026-08-01T17:08:06.894156Z","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":"2026-08-01T17:08:06.975333Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:06.975333Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:3d79def243c681c792a01550e7a0592aadb42bac54583c92d3dd15123651ea2b","observation_id":"dc4de772-2d6e-4377-a4db-0d4cf601aeaa","resolution":{"observed_at":"2026-08-01T17:08:06.975333Z","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":"2026-08-01T17:08:07.053906Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:07.053906Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:b184f91a1dfe0c9b7b741d4344d37d1688cfb7f0b346fa1b201cf6f2dd61643c","observation_id":"3d16dbb6-5d98-4e63-905d-abb05d4b245c","resolution":{"observed_at":"2026-08-01T17:08:07.053906Z","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":"2026-08-01T17:08:07.143312Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:07.143312Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:dabd4431f7f91c51d821fa715c9f29cb01cf8401c9ea456e9488c05f7cf4b74a","observation_id":"d93c68e6-f563-40a0-baef-c46d76e996c3","resolution":{"observed_at":"2026-08-01T17:08:07.143312Z","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":"2026-08-01T17:08:07.215086Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:07.215086Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:49f88a8cef36997a1d836caf1e595f498b0020945b15fb44bed275c9eadaec88","observation_id":"f4c9bb10-cd23-4310-b1a0-445516060f4e","resolution":{"observed_at":"2026-08-01T17:08:07.215086Z","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":"2026-08-01T17:08:07.283565Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:07.283565Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:b2ec5be2b66ef446780826c85dd91bdbdb95829755f188817d7735cba51fcf0e","observation_id":"6175e6d8-d2e2-452a-9fae-47ae213d79c8","resolution":{"observed_at":"2026-08-01T17:08:07.283565Z","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":"2026-08-01T17:08:07.364325Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:07.364325Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:3f861876476ff866c3efa510e622170e31bd384b2e98c570331387d5d1ba37b5","observation_id":"6b45eb8e-d393-467a-ae7c-60f8bba3f059","resolution":{"observed_at":"2026-08-01T17:08:07.364325Z","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":"2026-08-01T17:08:07.454004Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:07.454004Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:97e04f86a1a1904f9c7a15f5ee0046fd0dbdc298cb35c876430574f3052ee334","observation_id":"4f228694-514d-4bd9-84e9-3c3947b5be6e","resolution":{"observed_at":"2026-08-01T17:08:07.454004Z","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":"2026-08-01T17:08:07.545528Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:07.545528Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:aa4ccfc503ec4bb72d1cf1ae07a2f93fb0642fb8c792ed0338ff9cc817e57d54","observation_id":"776f8552-ef49-4cbb-8d43-11f9b21f4da3","resolution":{"observed_at":"2026-08-01T17:08:07.545528Z","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":"2026-08-01T17:08:07.666707Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:07.666707Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:e90cd2c5fc429aee598c9fbf2ca62cca3550e26f732fa45b6ea73bb22628ab90","observation_id":"1d42b409-a653-41c2-a280-d3742316fb58","resolution":{"observed_at":"2026-08-01T17:08:07.666707Z","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":"2026-08-01T17:08:07.750404Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:07.750404Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:12e9070e58cc96d01710f86cae348f995d77758f7150ce4ee97b393a1e610202","observation_id":"7bd379f8-abdf-4af6-a87d-e0b214f98dce","resolution":{"observed_at":"2026-08-01T17:08:07.750404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1510.08484","last_updated":"2015-10-28T20:59:04Z","snapshot_observed_at":"2026-07-06T04:34:36.474437Z","submitted_at":"2015-10-28T20:59:04Z","title":"MUSAN: A Music, Speech, and Noise Corpus","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1510.08484","snapshot_observed_at":"2026-08-01T17:08:07.840375Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:07.840375Z"},"links":{"cited_paper":"/paper/1510.08484","citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:d14b33fe47c82044dec8b4b21a4d6c56fcc3066a7e385fe89305653f2f95cbe0","observation_id":"fcb5b10d-df08-4a2e-b7e6-91a56436d2cb","resolution":{"observed_at":"2026-08-01T17:08:07.840375Z","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":"2026-08-01T17:08:07.929951Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:07.929951Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:5b892e86d4e638ec10210fda529d332509788b9445eb733ab393fac2f72b556d","observation_id":"856d7bd8-af43-49cd-9683-caff3814b853","resolution":{"observed_at":"2026-08-01T17:08:07.929951Z","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":"2026-08-01T17:08:08.019644Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:08.019644Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:540c2ab0ac9fbb351445bf63f1d4fe73644bf8a99aa84d6ce53e3d69cf708aa6","observation_id":"04b2cfd0-7e8b-40f7-96b4-f5f6eff783a9","resolution":{"observed_at":"2026-08-01T17:08:08.019644Z","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":"2026-08-01T17:08:08.112777Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:08.112777Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:c6f7b15813479eac79b0d0da181eb026c8813a75174b1ee70945dcb5ff47ba3c","observation_id":"7970e87b-d4f1-456e-b775-0d08290a83fd","resolution":{"observed_at":"2026-08-01T17:08:08.112777Z","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":"2026-08-01T17:08:08.182252Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:08.182252Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:d972d76518c31d7d9d5afff032b7f14b274cfa8ce4b32dd12106cbb003288c3e","observation_id":"7ad02e89-24ef-452b-ba8b-c0a1e40782f5","resolution":{"observed_at":"2026-08-01T17:08:08.182252Z","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":"2026-08-01T17:08:08.260074Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:08.260074Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:3c9c519c92bd0656d78bf48027365908b2e543163578414ee66e6f78946b056c","observation_id":"dc4ddd79-990d-4cbf-ae8c-a1eb6ab56982","resolution":{"observed_at":"2026-08-01T17:08:08.260074Z","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":"2026-08-01T17:08:08.335139Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:08.335139Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:7fd43617d2e763bfdc684313ef56dfb4289341723bc1db4e81629c5af8d3e8f0","observation_id":"25efa5a3-4147-413c-9f3f-41d71aa56d47","resolution":{"observed_at":"2026-08-01T17:08:08.335139Z","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":"2026-08-01T17:08:08.399593Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:08.399593Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:084387ee56d341def115ba550daef546e1db9def858e3ae22326b7677850e59f","observation_id":"928bfc73-d0a5-4151-84ad-b40ef7ff6315","resolution":{"observed_at":"2026-08-01T17:08:08.399593Z","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":"2026-08-01T17:08:08.470354Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:08.470354Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:a0e8fc1efbfe9d23d44d4b47bd7138a479a3da54fa4e4b464cbcb509e3bda119","observation_id":"983710a2-8041-44f9-a8b9-aa291d7b9cf9","resolution":{"observed_at":"2026-08-01T17:08:08.470354Z","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":"2026-08-01T17:08:08.543956Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:08.543956Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:a921f7fc26311b461d8e45f9dd4331a4a06e930a7a55213177c2368ba52d5888","observation_id":"fc1a3479-8002-4272-83eb-16cd679712b0","resolution":{"observed_at":"2026-08-01T17:08:08.543956Z","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":"2026-08-01T17:08:08.633133Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:08.633133Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:619eb64cc9ecc34f24c69293e583e49741c4d7327a9fc07377d978a603edec07","observation_id":"d445219f-7311-4666-8d75-36d5fde86e7a","resolution":{"observed_at":"2026-08-01T17:08:08.633133Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.17737","last_updated":"2026-05-18T01:36:46Z","snapshot_observed_at":"2026-08-02T07:35:19.943282Z","submitted_at":"2026-05-18T01:36:46Z","title":"Profiling the Voice: Speaker-Specific Phoneme Fingerprinting for Speech Deepfake Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.17737","snapshot_observed_at":"2026-08-01T17:08:08.727090Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:08.727090Z"},"links":{"cited_paper":"/paper/2605.17737","citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:e60db229531afb1024665a2a97431d11d2917a5f7c5ac0fdda9f3d230daf3d22","observation_id":"88ea1602-a638-492e-8cc4-14698ee866dc","resolution":{"observed_at":"2026-08-01T17:08:08.727090Z","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":"2026-08-01T17:08:08.796619Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:08.796619Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:071c9fae471727e7f083e64c0315ff5ba66d5e8912332775f7509dafdd43722c","observation_id":"92159e18-7e87-4616-945f-94dbe0804811","resolution":{"observed_at":"2026-08-01T17:08:08.796619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13774","last_updated":"2023-05-23T07:42:52Z","snapshot_observed_at":"2026-07-06T15:31:13.189124Z","submitted_at":"2023-05-23T07:42:52Z","title":"ADD 2023: the Second Audio Deepfake Detection Challenge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13774","snapshot_observed_at":"2026-08-01T17:08:08.870986Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:08.870986Z"},"links":{"cited_paper":"/paper/2305.13774","citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:cd27102a93618c577e1bfe159e241cd8026990b84153993d4fb8daac60e3d11b","observation_id":"16278a20-af5a-4e2f-803e-d8e9a48e4268","resolution":{"observed_at":"2026-08-01T17:08:08.870986Z","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":"2026-08-01T17:08:08.937744Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:08.937744Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:e15db44e5e22c3904a17ab081d174fd073405909ff9eeaaaa390e0d4a2caec9b","observation_id":"82f6eb34-e303-4a9a-a216-78efcbedc890","resolution":{"observed_at":"2026-08-01T17:08:08.937744Z","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":"2026-08-01T17:08:09.003978Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:09.003978Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:6ad1c1aeded0992b70df074281cef5afd2ba5d5629f9f03c679f65fb9ee61fd1","observation_id":"29178d3a-36d1-45c6-b2c2-25f992e47514","resolution":{"observed_at":"2026-08-01T17:08:09.003978Z","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":"2026-08-01T17:08:05.955480Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:05.955480Z"},"links":{"citing_paper":"/paper/2607.17761"},"observation_digest":"sha256:08ab0c7b8c8fa9201114826ed212bda35dfc15a8035186e0c1ff99eee4134233","observation_id":"ecad8835-62d4-458c-aac2-0166b175d19c","resolution":{"observed_at":"2026-08-01T17:08:05.955480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.17761","last_updated":"2026-07-28T04:55:06Z","latest_version":2,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-09T09:35:15.665160Z","submitted_at":"2026-07-20T09:51:03Z","title":"Time-Frequency Consistency Learning for Robust Speech Deepfake Detection"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":36},"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 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.17761."}