{"as_of":"2026-08-16T20:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7d143b8ee10986578679cce584af0e5db9baf055a07ea2e3aac2adf64054377d","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:37:34.579319Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.18273/citation-record","integrity":"/paper/2505.18273/integrity","json":"/paper/2505.18273/citation-record.json","paper":"/paper/2505.18273"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:37.474326Z","title":null,"venue":null,"work_id":"f3552746-666c-49c8-8901-b0d1803d6691","year":null},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.221635Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:5d399c50731648d1b498b8ff9b3e2d1fa232d387b8f60bf8919e357c13100028","observation_id":"23d292ae-d420-4d9b-9b26-c488a4a3d79d","resolution":{"observed_at":"2026-08-07T14:37:37.556223Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:37.278414Z","title":null,"venue":null,"work_id":"69b3dacd-e993-4d2e-ba31-1f39a811bd9f","year":null},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.289735Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:828401dec50c20dae95b488e1dbb3000d61179476d51d8da1792c9ac19b915b5","observation_id":"b76a8ade-6dcc-4227-895a-c15c7bf7cd50","resolution":{"observed_at":"2026-08-07T14:37:37.376338Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:37.082639Z","title":null,"venue":null,"work_id":"fa84e7bf-5e53-4c3e-b485-98a4d68a1880","year":null},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.362414Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:a8359a865330c3d95a50790ffb433529341e1cecc4f742a6db1336beb0b21079","observation_id":"80fb759b-7b89-4ecb-81eb-3b3f27fc67de","resolution":{"observed_at":"2026-08-07T14:37:37.166862Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:36.914620Z","title":null,"venue":null,"work_id":"4f644b48-a5f7-4af9-9f45-55029d982d9e","year":2019},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.413146Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:e57a2537a325faa85e6e29976472936336b9bdb7777ef1b9cdf03acd30dd7769","observation_id":"f3bd8f85-1a86-4492-a1f3-be10af19c3f9","resolution":{"observed_at":"2026-08-07T14:37:36.986973Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:36.777727Z","title":"The present study commences with an examination of the influence of distinct training methodologies on model perfor- mance and its generalizability to unseen attacks","venue":null,"work_id":"ccfab4ee-5227-42a0-b917-04ff609522ad","year":null},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.459457Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:18d8daef3e4a4d8fbd35af23915d0f0a553256dda4ad6b28fcd61d6888204ba8","observation_id":"0dddd119-9a5f-4dda-99a1-bc1a460c847d","resolution":{"observed_at":"2026-08-07T14:37:36.830530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:36.624475Z","title":"The proposed approach enables seam- less fusion of ASV and CM pre-trained models while maintain- ing a compact and efficient structure","venue":null,"work_id":"aa735559-4d6f-44c8-b514-cece2d446f12","year":null},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.507733Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:b9cf8eb163434f034c036f69a9a857e3590b7176f412583190c4bb35971b62d8","observation_id":"3a3a9fe3-1a72-413b-8358-cd6bae9baefb","resolution":{"observed_at":"2026-08-07T14:37:36.684140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:36.427506Z","title":null,"venue":null,"work_id":"c762721b-3e1b-4b21-8048-8ac1d2118b40","year":null},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.555579Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:990403db5506e3bb88f56319b4f176d72b67c8f0177ae35e85903974fc425a6e","observation_id":"2eb9af73-ade5-4566-84a0-6382303de71a","resolution":{"observed_at":"2026-08-07T14:37:36.509289Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:36.259096Z","title":"To what ex- tent can ASV systems naturally defend against spoofing attacks?","venue":null,"work_id":"16c45ef0-b634-4c38-8792-11c75b1834ea","year":2024},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.601218Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:9e8c31f94712148a3bbcfa88a1e696ae2b3cad89969a571c6bd991538ef02df6","observation_id":"0259f76d-0f68-4347-b74d-6459c085ee72","resolution":{"observed_at":"2026-08-07T14:37:36.315546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:36.142189Z","title":"SASV 2022: The first spoofing-aware speaker verification challenge,","venue":null,"work_id":"d8f3cf90-5ce0-4fa9-8aaa-bac1e15096c8","year":2022},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.646773Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:e44ced7a33e8b62ded2501cc819e02b014f706faf2d48aebe826c1937cf3fb1b","observation_id":"f0c841e3-cf6f-452e-b868-15a78482d277","resolution":{"observed_at":"2026-08-07T14:37:36.191627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:36.030475Z","title":"Golden gemini is all you need: Finding the sweet spots for speaker verifica- tion,","venue":null,"work_id":"95067f6e-78ce-444e-a8d6-2f4d7b605c6b","year":2024},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.707202Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:1e5981829655e29e6790d2da853b800e0852f1b78c54528310e3bfa875a9a1c1","observation_id":"d3e259a6-e2d5-4c1f-ad0c-b41d2b36bdb3","resolution":{"observed_at":"2026-08-07T14:37:36.081674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:33.750138Z","title":"ECAPA- TDNN: Emphasized channel attention, propagation and aggre- gation in tdnn based speaker verification,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.750138Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:bee1cc2652eac44af1cd74e756b136a2685c4a7615117b7e59a506a39cc2e514","observation_id":"3d78418b-6ad3-4233-9ade-6b54be6e3bc8","resolution":{"observed_at":"2026-08-07T14:37:33.750138Z","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":"2026-08-07T14:37:35.927231Z","title":"AASIST: Audio anti-spoofing using in- tegrated spectro-temporal graph attention networks,","venue":null,"work_id":"438469a5-69b4-4a1b-81b9-be3dd3f598be","year":2022},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.796124Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:9803b8b1e930c1201ae10501fa7b8b00d03417cf3611f6baf77a7078d28ad100","observation_id":"00cebb5e-5606-4cc5-a9d1-49eaeab3896f","resolution":{"observed_at":"2026-08-07T14:37:35.974501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:35.830344Z","title":"End-to-End Spectro-Temporal Graph Attention Net- works for Speaker Verification Anti-Spoofing and Speech Deep- fake Detection,","venue":null,"work_id":"de0febbd-8657-4fd1-9f1a-6c4d6a1bfd98","year":2021},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.846325Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:834e37a7ba39eaafe38c19c17e1d45cd9ec9d34f871dfd6717f28714d4b1011a","observation_id":"8a684031-bd06-4c42-89ca-36710baff48f","resolution":{"observed_at":"2026-08-07T14:37:35.866418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:33.875204Z","title":"AASIST3: KAN-enhanced AASIST speech deepfake detection using SSL features and additional regularization for the ASVspoof 2024 Challenge,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.875204Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:b55c94e95de210c3d24601f3d0205d2d91a4de33af61dbf3da46a6b13dde9113","observation_id":"90e302a4-9f62-4ecb-80e0-b646c0951ff8","resolution":{"observed_at":"2026-08-07T14:37:33.875204Z","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":"2026-08-07T14:37:35.702096Z","title":"On the potential of jointly-optimised solutions to spoofing attack detection and auto- matic speaker verification,","venue":null,"work_id":"0ff8b6e4-6ad2-4e28-82c0-b7980cc3a213","year":2022},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.898330Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:f10f961d9669681aebeae15fe721c9cd0110607e925bf49fa10e32447df72ed7","observation_id":"d8e06697-e7bf-4142-aaee-80a1f14915ca","resolution":{"observed_at":"2026-08-07T14:37:35.741022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:35.614414Z","title":"Integrated Spoofing Countermeasures and Automatic Speaker Verification: An Evaluation on ASVspoof 2015,","venue":null,"work_id":"5bcce106-3b54-4472-9d49-5e787dfd7eed","year":2015},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.947077Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:f52330a894e9867d8fb7da85f50974805d263dd6e467268e05c60c79cdbbd349","observation_id":"59213506-fdc8-4b4b-95d3-364f2d2c6c48","resolution":{"observed_at":"2026-08-07T14:37:35.663215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:35.523484Z","title":"Spoofing-Robust Speaker Verification Based on Time-Domain Embedding,","venue":null,"work_id":"b0ac2ab4-9833-4845-8bac-1a816347fa81","year":2025},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:33.988229Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:796e8cce150988c475ea0f63ea40bd6b29fdb894ac79e9d905e1ee5e4c5614ee","observation_id":"64add61e-bd9a-4d5a-bc65-aa77b347295d","resolution":{"observed_at":"2026-08-07T14:37:35.568872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.17133","last_updated":"2024-12-22T18:41:53Z","snapshot_observed_at":"2026-08-16T15:28:23.976789Z","submitted_at":"2024-12-22T18:41:53Z","title":"Tandem spoofing-robust automatic speaker verification based on time-domain embeddings","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.17133","snapshot_observed_at":"2026-08-07T14:37:34.044826Z","title":"Tandem spoofing-robust automatic speaker verification based on time-domain embeddings,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:34.044826Z"},"links":{"cited_paper":"/paper/2412.17133","citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:bc902a7929da96b3d7d8d401b775ddca1fbb9f7058fd35856f99fbacfabcb2fe","observation_id":"05118ece-bdac-4438-b907-e45e6b56d356","resolution":{"observed_at":"2026-08-07T14:37:34.044826Z","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":"2026-08-07T14:37:35.409384Z","title":"A probabilistic fusion frame- work for spoofing aware speaker verification,","venue":null,"work_id":"f1ce6bf8-e5c7-496c-807d-4b191b9bc832","year":2022},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:34.108909Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:72f70f420e72003b725301bccb5c904cb058145686f5fc1aa08a566e12c9ad58","observation_id":"8d528313-92bf-4ca5-9d56-296c9bdd45e6","resolution":{"observed_at":"2026-08-07T14:37:35.464855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:35.314805Z","title":"HYU Submission for the SASV Challenge 2022: Reforming Speaker Embeddings with Spoofing-Aware Conditioning,","venue":null,"work_id":"ffc85860-6013-4eb2-847a-fb9a5d5b1915","year":2022},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:34.163073Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:010b6e37c3d2c6ca41d9689365d2e9445b4d2c9c961917e57edd2ee0bb1bbd6e","observation_id":"1144856c-ab43-4c7c-a51f-f50af1978b12","resolution":{"observed_at":"2026-08-07T14:37:35.360880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.33580","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:34.809603Z","title":"Generalizing speaker verification for spoof awareness in the embedding space,","venue":null,"work_id":"fe23e5a7-07c3-41a1-b223-79b79f1498bc","year":2024},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:34.226275Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:2854bc75ea759dd502a6e69443715f213085633a3a978a1eee46d1ad66a300e9","observation_id":"2beeaf5a-edde-4ad0-80dc-3a3cb56139bb","resolution":{"observed_at":"2026-08-07T14:37:34.859377Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:35.226299Z","title":"DNN speaker adaptation using parameterised sigmoid and ReLU hidden activation functions,","venue":null,"work_id":"c2590759-4490-4945-aeff-1e652c2996fc","year":2016},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:34.303359Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:152c43d0c8cec2b99efc829562c1727694532bf9a67b86ebb2b8101d1661d2fb","observation_id":"5790a31c-d93b-4b2d-9b92-7d3ba4923173","resolution":{"observed_at":"2026-08-07T14:37:35.269353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:34.352429Z","title":"Adaptation algorithms for neural network-based speech recognition: An overview,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:34.352429Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:1035584c2f67e21c1d700fa84e3e41bcb2e460ad44168d3a976dae97e1161197","observation_id":"09f69894-570c-4388-b16e-8ec9c2e41f78","resolution":{"observed_at":"2026-08-07T14:37:34.352429Z","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":"2026-08-07T14:37:35.131200Z","title":"Joint Decision of Anti-Spoofing and Automatic Speaker Verification by Multi-Task Learning With Contrastive Loss,","venue":null,"work_id":"2499f480-a826-4b0d-83e9-ae07c2876bdb","year":2020},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:34.394005Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:836b74857f0dafd62804e46d85de90ba2fa9aece1c57c22172ffadfe4342bb4f","observation_id":"328f980d-43d1-4295-aebd-f6f9493562e7","resolution":{"observed_at":"2026-08-07T14:37:35.174402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:35.033170Z","title":"ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech,","venue":null,"work_id":"17975ac8-b3dd-40e9-9a0a-c7a626e4695d","year":2019},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:34.463205Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:19d6706e73f25c88e8ba94843e76e5a46604b61858f448febdc164bcc33ea78b","observation_id":"9d2fa848-7902-4c42-b8bf-2571a6245a54","resolution":{"observed_at":"2026-08-07T14:37:35.074285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:34.939833Z","title":"a-DCF: an architecture agnostic metric with applica- tion to spoofing-robust speaker verification,","venue":null,"work_id":"f1c5728e-e293-4912-8cf7-fcb9ff06e15b","year":2024},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:34.522579Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:8b78da201c6b335fd3ab1017a10107cc0357c8b9bc15980957429947fe8c2358","observation_id":"f7deedbc-4fa2-4120-9b49-6cbe53aa71c3","resolution":{"observed_at":"2026-08-07T14:37:34.983750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:34.579319Z","title":"Confidence intervals for evaluation in machine learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:34.579319Z"},"links":{"citing_paper":"/paper/2505.18273"},"observation_digest":"sha256:b46a288a6eaedd30c11f949d7f3d00fe6fa2ef106d2fa84b825f7440ac296c0f","observation_id":"28f27dc7-0d5e-4b58-adb5-e839b579b5de","resolution":{"observed_at":"2026-08-07T14:37:34.579319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.18273","last_updated":"2025-05-23T18:10:26Z","latest_version":1,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-13T07:20:25.622718Z","submitted_at":"2025-05-23T18:10:26Z","title":"ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":16},"total_outbound_references":27},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2505.18273."}