{"as_of":"2026-08-11T19:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:229eb8c1b38b1ec78201f3f4fa34e59bfd8f2bff68be0a8eb3275bbb5e13f870","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T23:28:04.231260Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2412.20359/citation-record","integrity":"/paper/2412.20359/integrity","json":"/paper/2412.20359/citation-record.json","paper":"/paper/2412.20359"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.15159","last_updated":"2021-11-30T06:33:57Z","snapshot_observed_at":"2026-08-07T09:14:24.081652Z","submitted_at":"2021-11-30T06:33:57Z","title":"CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer","version":1},"cited_work":{"arxiv_id":"2111.15159","doi":null,"metadata_source":"pith","pith_arxiv_id":"2111.15159","snapshot_observed_at":"2026-08-10T23:28:04.441957Z","title":"CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer","venue":"cs.SD","work_id":"d04d797c-39ab-4dac-b5b7-0ac038ee686e","year":2021},"citing_paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T23:28:04.169796Z"},"links":{"cited_paper":"/paper/2111.15159","citing_paper":"/paper/2412.20359"},"observation_digest":"sha256:cbd377e448f40c3c6cae04a84ccf8c48d94d803fb0810abaefec7778335ee93d","observation_id":"6014daf2-4695-406f-b3d0-effcb51e6ab9","resolution":{"observed_at":"2026-08-10T23:28:04.454135Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.10394","last_updated":"2021-07-23T01:08:09Z","snapshot_observed_at":"2026-08-11T02:46:27.125274Z","submitted_at":"2021-07-21T23:44:17Z","title":"StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.10394","snapshot_observed_at":"2026-08-10T23:28:04.181297Z","title":"arXiv preprint arXiv:2107.10394","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T23:28:04.181297Z"},"links":{"cited_paper":"/paper/2107.10394","citing_paper":"/paper/2412.20359"},"observation_digest":"sha256:19eae0bc19eaf36cd6a6596cfa44376e1a6ace798bf80f255348a173314cce52","observation_id":"52a85b6e-df35-4a3f-91f6-90ac70e89fd1","resolution":{"observed_at":"2026-08-10T23:28:04.181297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.15185","last_updated":"2023-12-23T07:46:55Z","snapshot_observed_at":"2026-08-10T23:36:01.623927Z","submitted_at":"2023-12-23T07:46:55Z","title":"emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.15185","snapshot_observed_at":"2026-08-10T23:28:04.187733Z","title":"arXiv preprint arXiv:2312.15185","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T23:28:04.187733Z"},"links":{"cited_paper":"/paper/2312.15185","citing_paper":"/paper/2412.20359"},"observation_digest":"sha256:960b8e234d67087c8fa08256636f66d4a97a2177e3ecaa0ee82b1c496b239873","observation_id":"8a9fb71a-b4f9-4d32-9de3-63d071f9e117","resolution":{"observed_at":"2026-08-10T23:28:04.187733Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09730","last_updated":"2023-10-18T19:23:27Z","snapshot_observed_at":"2026-08-11T18:32:25.664867Z","submitted_at":"2022-12-19T18:53:04Z","title":"Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised Units","version":2},"cited_work":{"arxiv_id":"2212.09730","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.09730","snapshot_observed_at":"2026-08-10T23:28:04.327145Z","title":"Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised Units","venue":"cs.SD","work_id":"e369d4a5-da1c-483a-b693-787eca082f84","year":2022},"citing_paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T23:28:04.193875Z"},"links":{"cited_paper":"/paper/2212.09730","citing_paper":"/paper/2412.20359"},"observation_digest":"sha256:1dd61b7048bc3ee3f50ad38e6c09331a7103d91a6e3008da7f53035f0bd48fee","observation_id":"74eb7664-7da3-40f9-aff2-fb68f3a542ff","resolution":{"observed_at":"2026-08-10T23:28:04.336294Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:28:04.564369Z","title":"In Findings of the Association for Computational Linguistics: NAACL 2024 , 3966–3976","venue":null,"work_id":"1beecb31-762f-4326-a649-12a50c9dd60c","year":2024},"citing_paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T23:28:04.205150Z"},"links":{"citing_paper":"/paper/2412.20359"},"observation_digest":"sha256:7b3ba5ceb9c359f026d114fb2d3f035310a06873dcb74578608b4ab2dc7a8136","observation_id":"77d994f0-5031-41c5-a229-9c3afbb2b3ec","resolution":{"observed_at":"2026-08-10T23:28:04.570082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:28:04.522617Z","title":"In ICASSP 2023, 1–5","venue":null,"work_id":"9b0d645f-07a5-4031-b945-076fe2912a58","year":2023},"citing_paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T23:28:04.224194Z"},"links":{"citing_paper":"/paper/2412.20359"},"observation_digest":"sha256:86353fa9220c845748e0272aaebd32369f47a763b12e8a8ed567c0eb4d5d9649","observation_id":"ba0e84c7-daa8-4333-81a0-bfdbd337b35c","resolution":{"observed_at":"2026-08-10T23:28:04.530980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.13756","last_updated":"2023-09-18T01:54:31Z","snapshot_observed_at":"2026-08-09T06:13:33.464070Z","submitted_at":"2022-10-25T03:50:34Z","title":"Mixed-EVC: Mixed Emotion Synthesis and Control in Voice Conversion","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.13756","snapshot_observed_at":"2026-08-10T23:28:04.231260Z","title":"In Pro- ceedings of the AAAI Conference on Artificial Intelligence , 13772–13779","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T23:28:04.231260Z"},"links":{"cited_paper":"/paper/2210.13756","citing_paper":"/paper/2412.20359"},"observation_digest":"sha256:0d7bc52b700338dc983e4445fc63c942f52bfbbf25a6b38acf681f6ab1a14163","observation_id":"d6194390-e9ef-4e56-8942-2db5ed89b93b","resolution":{"observed_at":"2026-08-10T23:28:04.231260Z","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":"2026-08-10T23:28:04.544377Z","title":"In Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18, 234–241","venue":null,"work_id":"9fdcad29-8547-4e45-9cd4-12f9c9c3864c","year":2015},"citing_paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-10T23:28:04.218096Z"},"links":{"citing_paper":"/paper/2412.20359"},"observation_digest":"sha256:29760f964ccba9c69f89cb0cb20618bbb3fd8f824869a4aa374368e92a0d9c42","observation_id":"695f1665-ccf1-431e-8d45-88ab155aadd9","resolution":{"observed_at":"2026-08-10T23:28:04.551481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.13821","last_updated":"2022-08-04T10:25:40Z","snapshot_observed_at":"2026-08-10T09:42:49.853165Z","submitted_at":"2021-09-28T15:48:22Z","title":"Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.13821","snapshot_observed_at":"2026-08-10T23:28:04.210795Z","title":"In Interspeech, volume 2016, 2453–2457","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-10T23:28:04.210795Z"},"links":{"cited_paper":"/paper/2109.13821","citing_paper":"/paper/2412.20359"},"observation_digest":"sha256:ab75508db250c57057daca8e14ebc6357533950a83798e9c0c040b63ed43f977","observation_id":"dbdcfbb5-1d16-4517-8d61-f925e6c12d26","resolution":{"observed_at":"2026-08-10T23:28:04.210795Z","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":"2026-08-10T23:28:04.583448Z","title":"In Interspeech, volume 2017, 498–502","venue":null,"work_id":"8c453450-0f5f-46e2-8d9c-5fc09d9fe3d0","year":2017},"citing_paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-10T23:28:04.199401Z"},"links":{"citing_paper":"/paper/2412.20359"},"observation_digest":"sha256:daab3a52ae7776fd468bb6fa12499b2eb1a3424c2dc50191962ce4d8e6e757ec","observation_id":"cc2d3245-1c52-453c-a0d5-51d68afc99db","resolution":{"observed_at":"2026-08-10T23:28:04.588974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.10326","last_updated":"2022-07-21T05:10:48Z","snapshot_observed_at":"2026-08-05T01:15:39.596807Z","submitted_at":"2021-10-20T00:49:02Z","title":"Disentanglement of Emotional Style and Speaker Identity for Expressive Voice Conversion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.10326","snapshot_observed_at":"2026-08-10T23:28:04.164013Z","title":"arXiv preprint arXiv:2110.10326","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-10T23:28:04.164013Z"},"links":{"cited_paper":"/paper/2110.10326","citing_paper":"/paper/2412.20359"},"observation_digest":"sha256:e76fcc95fcbe29bc51f20dc58a696662b9935e8a9b7be1d8b6352864a7dbcd16","observation_id":"b9623fdf-325f-4679-9d95-bf5b0ec7c611","resolution":{"observed_at":"2026-08-10T23:28:04.164013Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09412","last_updated":"2024-04-22T09:50:44Z","snapshot_observed_at":"2026-07-06T14:32:22.050814Z","submitted_at":"2022-12-19T12:44:25Z","title":"Empowering Diffusion Models on the Embedding Space for Text Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09412","snapshot_observed_at":"2026-08-10T23:28:04.175636Z","title":"arXiv preprint arXiv:2212.09412","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-10T23:28:04.175636Z"},"links":{"cited_paper":"/paper/2212.09412","citing_paper":"/paper/2412.20359"},"observation_digest":"sha256:7606ec4b3b3bd38631aa5ae93a5192d9818583d67121c8ef971caaa97c9e9b0d","observation_id":"d7c19f60-a685-4031-8a29-be463ccfafc4","resolution":{"observed_at":"2026-08-10T23:28:04.175636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.05187","last_updated":"2023-12-08T17:18:42Z","snapshot_observed_at":"2026-08-06T14:36:57.042438Z","submitted_at":"2023-12-08T17:18:42Z","title":"Seamless: Multilingual Expressive and Streaming Speech Translation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.05187","snapshot_observed_at":"2026-08-10T23:28:04.157974Z","title":"arXiv preprint arXiv:2312.05187","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T23:28:04.157974Z"},"links":{"cited_paper":"/paper/2312.05187","citing_paper":"/paper/2412.20359"},"observation_digest":"sha256:f29ed115dba3bf9370b1ee687614d961bd618bab42471965181f0340480f7e6f","observation_id":"15670c3a-ba8f-4be6-aee4-b1d914f7afee","resolution":{"observed_at":"2026-08-10T23:28:04.157974Z","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":"2026-08-10T23:28:04.603782Z","title":"EURASIP Journal on Audio, Speech, and Music Processing, 2024(1):","venue":null,"work_id":"d0c18ccb-f899-4692-9f28-7767030d5e8e","year":2024},"citing_paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T23:28:04.151563Z"},"links":{"citing_paper":"/paper/2412.20359"},"observation_digest":"sha256:df7a53274818ec62dbc0d0a70e4f79eaaef0b70978a8a78a65f07a66266a28f1","observation_id":"32ba62d6-2db5-45d0-b450-9f600a513bc3","resolution":{"observed_at":"2026-08-10T23:28:04.609856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.20359","last_updated":"2024-12-29T05:30:06Z","latest_version":1,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-10T23:21:31.444039Z","submitted_at":"2024-12-29T05:30:06Z","title":"EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":5},"total_outbound_references":14},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2412.20359."}