{"as_of":"2026-08-23T14:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ca0a12158cd8cb43191f175f4c3a63b847b1d79bd8314701cf53ca275a5466df","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:53:41.609331Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:53:36.955947Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T13:53:41.758227Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"cited_work":{"arxiv_id":"2505.20678","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.20678","snapshot_observed_at":"2026-08-07T13:53:41.758227Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","venue":"eess.AS","work_id":"8fd6627e-52aa-4dc8-ab39-042ff6d2e53e","year":2025},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:36.955947Z"},"links":{"cited_paper":"/paper/2505.20678","citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:936f6914b73af84101d50063910aa9efd7257c0aab17b50ccdfb89795701a872","observation_id":"ab23bc6a-f5e4-4847-b5bc-837c9ec42d8c","resolution":{"observed_at":"2026-08-07T13:53:41.848943Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.20678/citation-record","integrity":"/paper/2505.20678/integrity","json":"/paper/2505.20678/citation-record.json","paper":"/paper/2505.20678"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:50.196308Z","title":"happy with surprise","venue":null,"work_id":"c5366989-75d4-41de-a83d-e0e28aea77fe","year":null},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:36.795389Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:5028a438deb5728ec2acb03bdb83c547c928f85b3554c22363e1fe0fdd213345","observation_id":"7f1294d0-5ce9-4982-b2f3-41f744bdecaf","resolution":{"observed_at":"2026-08-07T13:53:50.262065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"cited_work":{"arxiv_id":"2505.20678","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.20678","snapshot_observed_at":"2026-08-07T13:53:41.758227Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","venue":"eess.AS","work_id":"8fd6627e-52aa-4dc8-ab39-042ff6d2e53e","year":2025},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:36.955947Z"},"links":{"cited_paper":"/paper/2505.20678","citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:936f6914b73af84101d50063910aa9efd7257c0aab17b50ccdfb89795701a872","observation_id":"ab23bc6a-f5e4-4847-b5bc-837c9ec42d8c","resolution":{"observed_at":"2026-08-07T13:53:41.848943Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:50.013549Z","title":"Convert th is neutral utterance into a happy/surprise tone","venue":null,"work_id":"c4ef2560-38ed-48c3-a8c5-ce61998de18b","year":null},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:37.096525Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:ed886f97a602972ad879cdb7ee9fd1797214be3537fb27593c08f10aeb1aba2b","observation_id":"fb971c61-e8b6-431d-b612-da72dd81ad50","resolution":{"observed_at":"2026-08-07T13:53:50.107840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:49.844808Z","title":"The results indi - cate that the emotional speech generated using natural lang uage prompts closely aligns with human expectations","venue":null,"work_id":"4b94196f-0814-4066-887c-1d7629a47db1","year":null},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:37.217051Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:a4721ead835cdce1c39abc7477444232d92abb1c00f5500ea0445b561950484a","observation_id":"5624e2f4-9fac-4750-a6f0-c9815fa2ba34","resolution":{"observed_at":"2026-08-07T13:53:49.920888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:49.674153Z","title":null,"venue":null,"work_id":"2eb79ac5-e56a-41b7-8633-9cd4821b5456","year":null},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:37.372910Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:6d0aaafd4248a10c78d14ddeb8bb28f6d8e738e1a82822e8fc3ef43e5ad63487","observation_id":"83be5fc2-c38b-4699-97fe-2404acf76f67","resolution":{"observed_at":"2026-08-07T13:53:49.767151Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:49.525817Z","title":null,"venue":null,"work_id":"d826222c-2aca-4f2d-bdca-7271dd43d25e","year":2023},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:37.482303Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:63832fcae9e13e802c10259f9d5484b8dee691a66b553cb4dcb2ff6cc983babb","observation_id":"80a617ba-e8fb-49d6-986a-39a49f7c4bea","resolution":{"observed_at":"2026-08-07T13:53:49.587199Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:49.351715Z","title":"Emotional voice con - version: Theory, databases and esd,","venue":null,"work_id":"fa7eb893-994b-4830-a027-c0edff5d40a1","year":2022},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:37.610076Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:d8a897206e207006464e50f467cda6972adaf7f285959002717e1e859736457d","observation_id":"8fe8446b-1bca-425d-a52f-016c8b3e8f36","resolution":{"observed_at":"2026-08-07T13:53:49.421783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:49.186583Z","title":"An overview of affective speech synthesis and conversion i n the deep learning era,","venue":null,"work_id":"f3fbd110-2410-48db-8f5d-00e986c6d257","year":2023},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:37.770147Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:b95bbb33b31bcfd0b3d720867f34fd02e56abd00d984de4ff53bb907e47a76f9","observation_id":"258a59c0-cdce-46c6-ad74-393c00d0edbf","resolution":{"observed_at":"2026-08-07T13:53:49.248589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:49.016669Z","title":"Speaker-independent emotional voice conversio n via disentangled representations,","venue":null,"work_id":"af5ca702-3f22-49c9-8eea-9bc9fe29e48d","year":2022},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:37.918233Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:8a0a283a396c49ed1c2a456cfce91c6c26aa47663447401f56d1b3c87cebcbae","observation_id":"1a09630a-9b32-4a2c-b810-67250466df95","resolution":{"observed_at":"2026-08-07T13:53:49.099425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:48.829835Z","title":"Emotional voice con- version with semi-supervised generative modeling,","venue":null,"work_id":"15aea440-aed9-4c53-9126-e24437e02ab1","year":2023},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:38.042630Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:01955de3b2f953d095e3249e4a94c4a499d0e102417974671ec6407ac58c6f70","observation_id":"12daac21-6742-434a-8209-46d49c6aaaf5","resolution":{"observed_at":"2026-08-07T13:53:48.904477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:48.674331Z","title":"Textless speech emotion conversion using discrete & decom - posed representations,","venue":null,"work_id":"cc589628-b64a-439a-bafd-037932f851e4","year":2022},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:38.168977Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:76fefcc453068bf6fdcf1b01d357a56923b1553abb18b0bf9a8bc9ed779270d4","observation_id":"e790b499-bbeb-46d6-bc25-b6b125572de7","resolution":{"observed_at":"2026-08-07T13:53:48.739378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:48.504829Z","title":"Pavits: Explo ring prosody-aware vits for end-to-end emotional voice convers ion,","venue":null,"work_id":"04973960-757b-46da-99b2-3ce5749330dd","year":2024},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:38.338541Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:c11cc8e3e439a11598696084a2731f68799cba3376f92baaeee232fe6d1577bc","observation_id":"b6e0d2b4-695e-4810-b52d-3e946acd0ce3","resolution":{"observed_at":"2026-08-07T13:53:48.567065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:48.374351Z","title":"Towards realistic emotional voice conversion using controllable e motional intensity,","venue":null,"work_id":"0ffe6586-374d-4b14-bf9b-faedad7f2512","year":2024},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:38.454324Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:3a3ca3ab4b22ece4382639e9a516169eff6c6467cc5713721c85e8513a814591","observation_id":"0fb1bbdb-09af-49b2-84cc-5c6bf1dc2118","resolution":{"observed_at":"2026-08-07T13:53:48.436933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:48.185860Z","title":"Emotio nal voice conversion using multitask learning with text-to-sp eech,","venue":null,"work_id":"83dfd9f1-f965-406f-8e56-4c4a550096ab","year":2020},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:38.625096Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:35c76d3a08fccea5a725f7c1543535f59cb3c82847d826e1a39f33a7a469ddb7","observation_id":"fcd9ed6d-7541-498c-9e81-5329f36d6e96","resolution":{"observed_at":"2026-08-07T13:53:48.280730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:47.994061Z","title":"Seen and unseen emo- tional style transfer for voice conversion with a new emotio nal speech dataset,","venue":null,"work_id":"deb00fc2-e240-4cfe-86a1-c557df341704","year":2021},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:38.841211Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:f928cf5909856c2bbcb990b8bb6f2f86b0360cbe0a008009d4a106674ba6f821","observation_id":"e2e2a737-2a32-4d1c-bc8c-3d93e60eaa08","resolution":{"observed_at":"2026-08-07T13:53:48.090724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:47.801707Z","title":"Msemotts: Multi-sc ale emotion transfer, prediction, and control for emotional sp eech synthesis,","venue":null,"work_id":"09a7770b-e702-425b-a8dc-0e374f18db38","year":2022},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:38.987995Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:a777637d6ea9911b15e1510944f29328df654f335a1876771af367dba39ebf1a","observation_id":"e52c6f7a-f709-450e-aebd-402f6d9daabd","resolution":{"observed_at":"2026-08-07T13:53:47.902115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:47.606668Z","title":"Zero shot audio to audio emot ion transfer with speaker disentanglement,","venue":null,"work_id":"a584695f-fced-4b4b-9891-278f66594a6f","year":2024},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:39.117582Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:1b73a2c939569b1aef64b09032a4e4c8c67fc6d1272a80bcd2fd410d53ac6fb9","observation_id":"5ce121a5-b2d0-4924-80d1-e47207ddf56d","resolution":{"observed_at":"2026-08-07T13:53:47.696311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:47.399969Z","title":"V oice conversion for em o- tional speech: Rule-based synthesis with degree of emotion con- trollable in dimensional space,","venue":null,"work_id":"c1c5dcdd-2eda-48e0-9da4-d965f66b042b","year":2018},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:39.246636Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:843935fbcc00de442743f7bfdddf3fa35afe422d4ad4be68353dc7959d939cd1","observation_id":"a541b0e1-ae7b-40d5-88d3-11dbe399fe4e","resolution":{"observed_at":"2026-08-07T13:53:47.499129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:47.199729Z","title":"Em otion intensity and its control for emotional voice conversion,","venue":null,"work_id":"5490878a-2409-492e-8502-74bc6aa5e97a","year":2022},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:39.379358Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:0aa4f686ab6756f96c2c3da504e5d5bb8d98cf7d37701f035099bffd268fc8df","observation_id":"279ab8eb-d68f-40d2-90af-645241869baa","resolution":{"observed_at":"2026-08-07T13:53:47.298398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:46.964871Z","title":"Relative attributes,","venue":null,"work_id":"6a27db52-acbe-4fa0-a558-e5b3cae6d9f7","year":2011},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:39.461900Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:210dd82b1a219dab125e0a7fdbf6a5eeafbb3d77b63e54459837ff4ea7566b3f","observation_id":"40833661-812a-4dfc-a137-7cf28d424922","resolution":{"observed_at":"2026-08-07T13:53:47.104042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:46.566155Z","title":"Mixed-evc : Mixed emotion synthesis and control in voice conversion,","venue":null,"work_id":"ae3515c5-f679-462b-891a-f78891b35e8e","year":2024},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:39.548547Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:8c38b5ca38ad96ee8e7d0a5493bdef8e58cd36d56c077f07d848d82c4d4f8cf9","observation_id":"400e206c-841e-4b4f-8741-ae130ef54360","resolution":{"observed_at":"2026-08-07T13:53:46.728454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:46.336279Z","title":"Interpreting ambiguous emotiona l expressions,","venue":null,"work_id":"ca830160-624d-4738-a195-fcf14a18bc52","year":2009},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:39.733245Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:4d9964a7e2fe214fba1b30d60337121a5a16ce55431befbdfc5d127193eb9a0d","observation_id":"2ec2a5a8-ee02-4dfe-9922-5efb0189f5f4","resolution":{"observed_at":"2026-08-07T13:53:46.457877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:46.046831Z","title":"De Beaugrande and W","venue":null,"work_id":"69dd8026-6ff1-46b9-8a04-340c8e70dd65","year":1981},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:39.911307Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:d937222810fa7f47b7f91d16f626d22ea20116dc68b4b7d9a3dd8ba4afb2c005","observation_id":"f556e58a-af9d-429d-94c0-760bd693ea71","resolution":{"observed_at":"2026-08-07T13:53:46.195918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:45.735468Z","title":"V ocal expression of affect,","venue":null,"work_id":"cea6b42a-4fa9-4da1-bd57-aa4deba58e41","year":2005},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.034561Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:adc819b0d48c44097020641d495f6543912759ed4a98b69b27c42b0996cf6b5c","observation_id":"9a48894a-4eb9-4876-b6fe-d72f13ee02a5","resolution":{"observed_at":"2026-08-07T13:53:45.930514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:45.403683Z","title":"Prompttts: Control- lable text-to-speech with text descriptions,","venue":null,"work_id":"60c9b6b6-8749-475d-a544-2ff9645e1d2b","year":2023},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.159555Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:1bd987713da8b8d1d4ac5831a88b657c109e5b2a3357cbd5dccf88343bc4e5cc","observation_id":"feda48e9-46fd-4105-873e-f976533f23f6","resolution":{"observed_at":"2026-08-07T13:53:45.570767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:45.060646Z","title":"Prompttts 2: Describing and generating voices with text prompt,","venue":null,"work_id":"5515d6d5-6fcb-4cc7-9a77-7a23fce0de31","year":null},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.292612Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:24ae0ada74e19b8e80fadc0e9f3b0b3e38b1c78ba096f31aafba8415f427f941","observation_id":"dab68a27-7c1b-42b5-98a1-c3b5f4a368c7","resolution":{"observed_at":"2026-08-07T13:53:45.258640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:44.750217Z","title":"Promptvc: Flexible stylistic voice conve rsion in latent space driven by natural language prompts,","venue":null,"work_id":"a7b61b11-e6b7-4a2f-8187-37f98e6fb3f4","year":2024},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.415825Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:cc14cfc3f1debe812dff63cdb4496b27b86d9d95104d5d9d05e04ccaa2686b22","observation_id":"583cf9c3-3e4e-49ad-8fcc-d59e0446d32a","resolution":{"observed_at":"2026-08-07T13:53:44.898692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:44.371033Z","title":"Neutr al to target emotion conversion using source and suprasegmental infor- mation","venue":null,"work_id":"7a16e9c4-ae62-4c5f-8328-87b6fdf47241","year":2011},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.539645Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:568cf7bb92b32dfce5a695765eacd1cf2a98f2de72883b62069f2aaf62f8b70a","observation_id":"8473c5fe-16fd-45ab-9a0e-a1654ba2a3c1","resolution":{"observed_at":"2026-08-07T13:53:44.546859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:44.131140Z","title":"emotion2vec: Self-supervised pre-training for speech em otion representation,","venue":null,"work_id":"9264b429-1f6a-4abe-b2b0-215118392f90","year":2024},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.616738Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:7dee47fd78cef6309cce2f83a6ec3d65264d34f7e2208b79a4127b3c13284c65","observation_id":"c767e732-6423-4cfd-a1c2-de4165f2625c","resolution":{"observed_at":"2026-08-07T13:53:44.292035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-08-16T14:33:50.657682Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-07T13:53:40.728992Z","title":"Roberta: A robustly optimized bert pretraining approach (2019),","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.728992Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:cb131d8e680b3f6e9688b336bfe1f7d3e93ec8df3bfa4f5a4a16fcc1a11ecb63","observation_id":"c8a06db7-b964-4a1f-a202-1aa1f7de6b5d","resolution":{"observed_at":"2026-08-07T13:53:40.728992Z","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":"2026-08-07T13:53:43.870285Z","title":"Hubert: Self-supervised speech repre sen- tation learning by masked prediction of hidden units,","venue":null,"work_id":"9a0eeba9-4d19-423d-939e-fa813687f5ad","year":2021},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.824630Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:b55a477fc22184bdc6ed00b993e76d0bc9ba6bc61465d130603faaf875ce9406","observation_id":"b0699246-dc45-4aa7-b517-a249413b23df","resolution":{"observed_at":"2026-08-07T13:53:43.973881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:43.716118Z","title":"On generative spoken language modeling from raw au- dio,","venue":null,"work_id":"28b26c7e-85dc-4894-a431-e9575e97ddf0","year":2021},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.912456Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:f3341886a0dc4392e853bb710ad2c283e6f532a80023adf6265e267780841cd7","observation_id":"c7791475-2069-4f96-a6b8-27a0d05c03ae","resolution":{"observed_at":"2026-08-07T13:53:43.795441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:43.406616Z","title":"Prosody and emotions,","venue":null,"work_id":"868defe4-6866-4402-9018-aa1c0294e1d9","year":2002},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:41.064998Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:0063067a5e83bdf1b450ababdd19b412ae45721a0ff510e23103113a8f883502","observation_id":"f370486b-0d8e-49bc-bd95-ccd340809cde","resolution":{"observed_at":"2026-08-07T13:53:43.614304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:43.040456Z","title":"Efﬁcient acoustic parameters for speaker r ecognition,","venue":null,"work_id":"cf7fc933-0efc-4cc4-a2a1-4c1ad46a6437","year":1972},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:41.181668Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:29a8f394f20204d7d95efd951d9e8d32d2829ef00838f7a8e6a768d6d1f703ce","observation_id":"eeea3489-c05f-4a6d-823f-9cf53ded5925","resolution":{"observed_at":"2026-08-07T13:53:43.191935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:42.825701Z","title":"Textrolspeech: A text style control speech corpus with codec language text-to-speech models,","venue":null,"work_id":"e987623c-5d25-41ab-a37d-2386accbf9a1","year":2024},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:41.328599Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:f2a5e50cd87be8048bdd72c076b25645c59b3560a9985432d8f3e94b01991975","observation_id":"cd7a005b-d7cd-4b89-84f0-802a28594dc1","resolution":{"observed_at":"2026-08-07T13:53:42.947217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:42.347832Z","title":"Conditional variational au toencoder with adversarial learning for end-to-end text-to-speech,","venue":null,"work_id":"71278fac-afd7-468c-9111-3106b544381a","year":2021},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:41.436027Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:a030d3515334ee1d44c7ce8785e1ad6ea36bffddaf08b3f448fbbb8d769de014","observation_id":"75c32c47-3d61-4a5f-98b8-a81ebe6b6f61","resolution":{"observed_at":"2026-08-07T13:53:42.616493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:41.988406Z","title":"Funasr: A fundamental end-to-end speec h recognition toolkit,","venue":null,"work_id":"cf9ef3c1-bab2-439d-b36e-6938b59fc4e4","year":2023},"citing_paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:41.609331Z"},"links":{"citing_paper":"/paper/2505.20678"},"observation_digest":"sha256:0742f0026d219ddab7a4e5fa847e31ff0d669918b03b3959817e3a9b209ef49f","observation_id":"5957acfe-197a-47c7-97d4-3c873453c12a","resolution":{"observed_at":"2026-08-07T13:53:42.126240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.20678","last_updated":"2025-05-27T03:50:59Z","latest_version":1,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-14T03:30:29.835277Z","submitted_at":"2025-05-27T03:50:59Z","title":"PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":33},"total_outbound_references":37},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2505.20678."}