{"as_of":"2026-08-07T00:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c603e6f7c247aecbf512f4cce569e0f1f9f210999ad29dee0187061c1251944b","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":31,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:29:28.144770Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T05:39:39.351499Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2406.02430","last_updated":"2024-06-04T15:48:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-06-04T15:48:29Z","title":"Seed-TTS: A Family of High-Quality Versatile Speech Generation Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-15T12:26:37.300599Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2406.02430"},"observation_digest":"sha256:f816dcb2afc5af45a2713715b1dde45c45f6552943e53c251dd8d1c078820d48","observation_id":"d23726c2-113b-44f4-aa51-28e4166d5cf8","resolution":{"observed_at":"2026-05-15T12:26:37.374042Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2410.06885","last_updated":"2025-05-20T15:53:10Z","snapshot_observed_at":"2026-08-01T23:52:25.071174Z","submitted_at":"2024-10-09T13:46:34Z","title":"F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching","version":3},"reference_index":115,"source":"arxiv_source","source_observed_at":"2026-05-16T06:06:41.348728Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2410.06885"},"observation_digest":"sha256:19955d1dda9e508c1e7610e063d18b5eee319ad159bdfcb23735a90e56145e82","observation_id":"2739dbb6-bbdd-4204-ada2-6c2aa237b80e","resolution":{"observed_at":"2026-05-16T06:06:41.419455Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2410.13720","last_updated":"2025-02-26T16:05:55Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-17T16:22:46Z","title":"Movie Gen: A Cast of Media Foundation Models","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-11T14:16:18.521699Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2410.13720"},"observation_digest":"sha256:b85dcefc734218919511c1cd9fbf979320ddb6fa9b8f2d5c9db6750157f0613b","observation_id":"d1f8a6af-4077-4cfd-922b-e4af6a01f3a2","resolution":{"observed_at":"2026-05-11T14:16:25.090823Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2504.18425","last_updated":"2025-04-25T15:31:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-25T15:31:46Z","title":"Kimi-Audio Technical Report","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-11T19:21:26.933349Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2504.18425"},"observation_digest":"sha256:ff4b98c4c4a7a54c5c8c588e70c446991ec069e9d71872ba34f45ca19993f9ea","observation_id":"7d63e650-8a76-42e2-8d3b-161003e822e3","resolution":{"observed_at":"2026-05-11T19:21:27.203852Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2505.24437","last_updated":"2026-05-07T16:01:45Z","snapshot_observed_at":"2026-08-01T04:07:46.006657Z","submitted_at":"2025-05-30T10:20:04Z","title":"SwitchCodec: A High-Fidelity Nerual Audio Codec With Sparse Quantization","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-19T13:10:14.839742Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2505.24437"},"observation_digest":"sha256:8c605daf25a66b5e16d1194802c58c445802d3dc40307d86acec114d30c83b5f","observation_id":"0b615ebf-df7c-41fa-8796-d91eb89e070b","resolution":{"observed_at":"2026-05-19T13:12:18.182021Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-08-06T22:29:28.144770Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.21478","last_updated":"2025-06-26T17:07:45Z","snapshot_observed_at":"2026-08-06T22:21:25.389863Z","submitted_at":"2025-06-26T17:07:45Z","title":"SmoothSinger: A Conditional Diffusion Model for Singing Voice Synthesis with Multi-Resolution Architecture","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T22:29:28.144770Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2506.21478"},"observation_digest":"sha256:fa6b77d75dc195538656a06aace449e5c9c92478ff82303f1126501d3e2e1cb3","observation_id":"9270443a-18f3-402d-b2b9-64bc1ce5d6ec","resolution":{"observed_at":"2026-08-06T22:29:28.144770Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-08-06T20:06:18.783491Z","title":"arXiv preprint arXiv:2206.04658 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.03887","last_updated":"2025-07-05T03:59:17Z","snapshot_observed_at":"2026-08-06T19:57:56.309669Z","submitted_at":"2025-07-05T03:59:17Z","title":"Traceable TTS: Toward Watermark-Free TTS with Strong Traceability","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T20:06:18.783491Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2507.03887"},"observation_digest":"sha256:76849c35dc9a8574062a62ab86ba26279ba6f0d01bc998974366f9ab015b2a23","observation_id":"a948d280-9424-49bd-84ba-40d785a8f973","resolution":{"observed_at":"2026-08-06T20:06:18.783491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2507.16632","last_updated":"2025-08-27T16:42:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-22T14:23:55Z","title":"Step-Audio 2 Technical Report","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-16T05:59:50.900436Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2507.16632"},"observation_digest":"sha256:29699cfce96b229ce8020cd2009c39a03c40c2147046dcc6c363ccaa7980a12a","observation_id":"604528b6-756c-4732-9d83-2299a1a9d949","resolution":{"observed_at":"2026-05-16T05:59:51.180223Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-08-05T23:10:56.252891Z","title":"Bigvgan: A universal neural vocoder with large-scale training,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.05835","last_updated":"2025-08-07T20:20:32Z","snapshot_observed_at":"2026-08-05T23:10:55.644082Z","submitted_at":"2025-08-07T20:20:32Z","title":"NanoCodec: Towards High-Quality Ultra Fast Speech LLM Inference","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T23:10:56.252891Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2508.05835"},"observation_digest":"sha256:47d3932e74717a5837a4f120eddf384ff569e6d8ea84a034cdffdefbbb180454","observation_id":"1df455ea-20ce-4795-9461-174ffa8818ab","resolution":{"observed_at":"2026-08-05T23:10:56.252891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2510.01284","last_updated":"2025-09-30T21:03:50Z","snapshot_observed_at":"2026-08-06T11:49:53.749464Z","submitted_at":"2025-09-30T21:03:50Z","title":"Ovi: Twin Backbone Cross-Modal Fusion for Audio-Video Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-17T01:03:15.183360Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2510.01284"},"observation_digest":"sha256:051efeacb83e27a6d483e9bec3e64540e1772bfd45cc774e33bb2d9bc3be5bb0","observation_id":"1c4df732-860b-4121-aaf6-1bbac2558344","resolution":{"observed_at":"2026-05-17T01:03:15.250457Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-08-04T11:29:33.696265Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.04593","last_updated":"2026-06-08T05:49:30Z","snapshot_observed_at":"2026-08-06T08:55:28.794308Z","submitted_at":"2025-10-06T08:47:38Z","title":"UniVoice: Unifying Autoregressive ASR and Flow-Matching based TTS with Large Language Models","version":3},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-04T11:29:33.696265Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2510.04593"},"observation_digest":"sha256:38fad697c6a0f4c6ba0e074425308b8fbad0024b67aa826ac8ec2e327a7f13fc","observation_id":"373248fe-be09-4514-ab30-ec207ad538f0","resolution":{"observed_at":"2026-08-04T11:29:33.696265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-08-03T00:11:13.570717Z","title":"Bigvgan: A universal neural vocoder with large-scale training.arXiv preprint arXiv:2206.04658,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.12304","last_updated":"2026-07-23T11:24:08Z","snapshot_observed_at":"2026-08-03T00:11:08.466564Z","submitted_at":"2026-02-12T03:25:41Z","title":"OmniCustom: Sync Audio-Video Customization Via Joint Audio-Video Generation Model","version":5},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-03T00:11:13.570717Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2602.12304"},"observation_digest":"sha256:773f6a9f2aeb9571f64b97ae8a457a4ace8523ef22adfea40b587f297ef052d9","observation_id":"0a9243e4-5b1f-4c08-8647-a0501dc8fe38","resolution":{"observed_at":"2026-08-03T00:11:13.570717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-14T22:43:13.611383Z","title":"Bigvgan: A universal neural vocoder with large-scale training,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.11669","last_updated":"2026-06-08T07:16:00Z","snapshot_observed_at":"2026-08-02T13:38:52.812816Z","submitted_at":"2026-03-12T08:37:28Z","title":"SEMamba++: A General Speech Restoration Framework Leveraging Global, Local, and Periodic Spectral Patterns","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-14T22:43:13.611383Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2603.11669"},"observation_digest":"sha256:3373f71614446a277583d4047335288c1b63d5d773a59794fa9435d84c8b99fb","observation_id":"e6e78f76-5b58-4f8a-ba39-c53405f146b5","resolution":{"observed_at":"2026-07-14T22:43:13.611383Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-08-02T18:03:42.596651Z","title":"Bigvgan: A universal neural vocoder with large-scale training,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.16805","last_updated":"2026-07-16T07:47:56Z","snapshot_observed_at":"2026-08-05T04:44:49.504243Z","submitted_at":"2026-03-17T17:09:45Z","title":"Making Separation-First Multi-Stream Audio Watermarking Feasible via Joint Training","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T18:03:42.596651Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2603.16805"},"observation_digest":"sha256:6fd07ea39fa3775f6cc85d7b2b68e9d3a41fc4fa1f86e3b13801a67c7af1eef3","observation_id":"226673d6-99e2-4c78-aaa2-02f64a4e0c1d","resolution":{"observed_at":"2026-08-02T18:03:42.596651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2604.17986","last_updated":"2026-04-20T09:08:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-20T09:08:13Z","title":"Latent Fourier Transform","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T03:45:07.892234Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2604.17986"},"observation_digest":"sha256:3061365ad84412afee3ffb1a5aec65c9300f59117a6a80d78b6dafa18b52d816","observation_id":"20153b22-c0d0-49e9-8ffb-4c85d2fbee4b","resolution":{"observed_at":"2026-05-11T12:21:07.071659Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2605.15831","last_updated":"2026-05-15T10:35:49Z","snapshot_observed_at":"2026-07-06T23:27:05.961780Z","submitted_at":"2026-05-15T10:35:49Z","title":"Modeling Music as a Time-Frequency Image: A 2D Tokenizer for Music Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-19T18:47:32.003545Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2605.15831"},"observation_digest":"sha256:561557b69e777b935f0367310d96a2c099f3d2fabd50009ada7a0486718bd763","observation_id":"9992c7a6-1cbf-4232-bcf4-a04420ee13d6","resolution":{"observed_at":"2026-05-19T18:47:43.077570Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2605.16681","last_updated":"2026-05-15T22:34:52Z","snapshot_observed_at":"2026-08-01T12:57:25.699552Z","submitted_at":"2026-05-15T22:34:52Z","title":"A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-19T20:26:59.049472Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2605.16681"},"observation_digest":"sha256:f32946603560229bc2c02f32c866c2616d5afc40c774420fa7c2132d96f2791e","observation_id":"67134491-ea93-4cb6-a203-9f53492153b3","resolution":{"observed_at":"2026-05-19T20:27:49.816692Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2605.17085","last_updated":"2026-05-16T17:01:47Z","snapshot_observed_at":"2026-07-06T23:28:06.971959Z","submitted_at":"2026-05-16T17:01:47Z","title":"Taming Audio VAEs via Target-KL Regularization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-20T14:53:15.718359Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2605.17085"},"observation_digest":"sha256:317e27287cdac8a96cd7ac3739773d9037bd6bf80ff142b8c49bf7c4c8af616b","observation_id":"636c0cda-1aa7-491a-803c-a712e014276f","resolution":{"observed_at":"2026-05-20T14:53:23.209087Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2605.18749","last_updated":"2026-05-18T17:59:10Z","snapshot_observed_at":"2026-08-01T11:03:45.027975Z","submitted_at":"2026-05-18T17:59:10Z","title":"WavFlow: Audio Generation in Waveform Space","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-20T07:33:35.243337Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2605.18749"},"observation_digest":"sha256:adfb74e0853cd2cf3a658f50fd676e6ac5abf1680af3ba4f4e2829aacafd7aa3","observation_id":"3662da70-f9dc-47ec-9904-b88ea400f5ca","resolution":{"observed_at":"2026-05-20T07:38:09.595548Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2605.26672","last_updated":"2026-06-17T13:28:50Z","snapshot_observed_at":"2026-07-06T23:36:29.930024Z","submitted_at":"2026-05-26T08:11:27Z","title":"Can We Hear from Events? Generating Speech from Event Camera","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-29T14:40:29.819278Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2605.26672"},"observation_digest":"sha256:1d3475827c092bcc69ce2d3b7af861783a91338515993c848d369634f78f8dd1","observation_id":"bf7b9118-f04a-47bc-83e3-a35cb284d05d","resolution":{"observed_at":"2026-06-29T14:43:30.664608Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2605.29531","last_updated":"2026-06-20T04:24:04Z","snapshot_observed_at":"2026-08-01T12:41:12.012722Z","submitted_at":"2026-05-28T07:47:22Z","title":"Audio Deepfake Detection with Half-Truth Localisation Using Cross-Attentive Feature Fusion","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T06:02:59.488895Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2605.29531"},"observation_digest":"sha256:1f6ec5b23e7a8411c836391cddddabc08bad53cc3f19d3310a229b08c4253f09","observation_id":"0309b8d9-1088-4116-bfbc-45332e306b20","resolution":{"observed_at":"2026-06-29T06:03:08.305425Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2606.03455","last_updated":"2026-06-02T10:33:20Z","snapshot_observed_at":"2026-08-05T18:48:21.902772Z","submitted_at":"2026-06-02T10:33:20Z","title":"WavTTS: Towards High-Quality Zero-Shot TTS via Direct Raw Waveform Modeling","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-28T08:18:42.002083Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2606.03455"},"observation_digest":"sha256:ffb11c8198eb9f706bdb4bcecf9420db05a7141fcac81bb591eded230ae8fc43","observation_id":"f58b15e8-af53-49b9-9393-c734f69dbe9a","resolution":{"observed_at":"2026-07-02T05:16:39.735273Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2606.20101","last_updated":"2026-07-13T22:06:08Z","snapshot_observed_at":"2026-07-17T23:18:05.285816Z","submitted_at":"2026-06-18T11:20:08Z","title":"RFM-Editing 2: Text-Guided Audio Editing with Rectified Flow Matching and Coarse-to-Fine Diffusion Transformers","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-06-26T15:51:48.672086Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2606.20101"},"observation_digest":"sha256:73acdead162e53b1da41fb37ae7ca1315bf0ac2c3ca3380aa8d10f731bceee53","observation_id":"6eca4175-8429-414d-9b49-d8ba54451670","resolution":{"observed_at":"2026-07-04T05:39:39.354621Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2606.20101","last_updated":"2026-07-13T22:06:08Z","snapshot_observed_at":"2026-07-17T23:18:05.285816Z","submitted_at":"2026-06-18T11:20:08Z","title":"RFM-Editing 2: Text-Guided Audio Editing with Rectified Flow Matching and Coarse-to-Fine Diffusion Transformers","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-07-03T23:36:39.368933Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2606.20101"},"observation_digest":"sha256:1a308fdcf4491183c1abef86c239836292b54a96afa1f8a00d94958b4051f6a9","observation_id":"a817e62f-41a3-4069-9317-bef083050635","resolution":{"observed_at":"2026-07-03T23:39:03.049720Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-15T10:41:34.347336Z","title":"Bigvgan: A universal neural vocoder with large-scale training,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.20101","last_updated":"2026-07-13T22:06:08Z","snapshot_observed_at":"2026-07-17T23:18:05.285816Z","submitted_at":"2026-06-18T11:20:08Z","title":"RFM-Editing 2: Text-Guided Audio Editing with Rectified Flow Matching and Coarse-to-Fine Diffusion Transformers","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-07-15T10:41:34.347336Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2606.20101"},"observation_digest":"sha256:13fb791fd2714525505ea1b5dbb0d550c10929a54c8d57114d46d6fe3ff4bec5","observation_id":"6330ad10-3a6c-4bb5-a416-99b113edd190","resolution":{"observed_at":"2026-07-15T10:41:34.347336Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2606.31128","last_updated":"2026-06-30T04:46:45Z","snapshot_observed_at":"2026-08-06T13:27:09.813532Z","submitted_at":"2026-06-30T04:46:45Z","title":"UniSAE: Unified Speech Attribute Editing on Speaker, Emotion and Low-Level Content via Discrete Phonetic Posteriorgram Modelling","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-01T04:05:27.343684Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2606.31128"},"observation_digest":"sha256:d7b20e5ae5d8b66a52698ed8c9f4bdd7416615e87c4f0f28f0beafc302987d6d","observation_id":"84d3053b-a9ec-42ee-b070-7879ea0cfc7b","resolution":{"observed_at":"2026-07-01T11:45:46.188575Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":"2206.04658","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-04T05:39:39.351499Z","title":"Bigvgan: A universal neural vocoder with large-scale training","venue":null,"work_id":"953c2238-9c78-4b7c-a435-58768d959ff6","year":2022},"citing_paper":{"arxiv_id":"2606.31247","last_updated":"2026-06-30T07:24:10Z","snapshot_observed_at":"2026-07-07T00:04:58.486133Z","submitted_at":"2026-06-30T07:24:10Z","title":"FlexiSLM: A Dynamic and Controllable Frame Rate Spoken Language Model","version":1},"reference_index":118,"source":"arxiv_source","source_observed_at":"2026-07-01T03:50:26.873406Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2606.31247"},"observation_digest":"sha256:d129ff371af292292b90c968b680a41591351ce9c230b21fe1726fe5786ec75f","observation_id":"aa50874b-2739-4ff1-a3f3-aeaf04927119","resolution":{"observed_at":"2026-07-01T11:55:42.258516Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-07-14T14:47:58.592181Z","title":"BigVGAN: A universal neural vocoder with large-scale training,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.09891","last_updated":"2026-07-10T18:29:24Z","snapshot_observed_at":"2026-08-01T21:23:04.936272Z","submitted_at":"2026-07-10T18:29:24Z","title":"What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-07-14T14:47:58.592181Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2607.09891"},"observation_digest":"sha256:1f3bcc86791453a9f6a687be1d10554b3e2ada621d86ad229ffb4bfbd3d17e3c","observation_id":"e71e3b9a-8de6-4cc1-99c5-688362adba5b","resolution":{"observed_at":"2026-07-14T14:47:58.592181Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-08-01T22:37:47.065781Z","title":"BigV- GAN: A universal neural vocoder with large-scale training,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15694","last_updated":"2026-08-01T08:45:58Z","snapshot_observed_at":"2026-08-06T23:11:24.596539Z","submitted_at":"2026-07-17T07:13:11Z","title":"A Geometry-Limited Identification Floor and Its Consequences for Voice-Clone Attribution in Professional Voice Actors","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-01T22:37:47.065781Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2607.15694"},"observation_digest":"sha256:63e83fb45bbca5f401b81f266a54aaa0fb1fa7d2ab621de36cdb7a6f2d9d33f6","observation_id":"e7d11ceb-6de3-46b4-b475-c12e180b5c19","resolution":{"observed_at":"2026-08-01T22:37:47.065781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-08-04T01:43:21.961191Z","title":"BigV- GAN: A universal neural vocoder with large-scale training,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15694","last_updated":"2026-08-01T08:45:58Z","snapshot_observed_at":"2026-08-06T23:11:24.596539Z","submitted_at":"2026-07-17T07:13:11Z","title":"A Geometry-Limited Identification Floor and Its Consequences for Voice-Clone Attribution in Professional Voice Actors","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-04T01:43:21.961191Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2607.15694"},"observation_digest":"sha256:c3e64efaff1e8aa2ef956b70c98f05334ef4f3a2f6ca724a6ffc7850d68ebd90","observation_id":"a2325b15-5f9a-46d0-8265-9b3319349523","resolution":{"observed_at":"2026-08-04T01:43:21.961191Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04658","snapshot_observed_at":"2026-08-01T08:40:29.851867Z","title":"BigVGAN: A universal neural vocoder with large-scale training,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21042","last_updated":"2026-07-23T08:24:21Z","snapshot_observed_at":"2026-08-06T21:34:24.895106Z","submitted_at":"2026-07-23T08:24:21Z","title":"Faster IndexTTS-2: Accelerating and Streaming Autoregressive Zero-Shot Text-to-Speech Synthesis on GPUs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T08:40:29.851867Z"},"links":{"cited_paper":"/paper/2206.04658","citing_paper":"/paper/2607.21042"},"observation_digest":"sha256:d499a9d5faeadd0e7bed84bc466e1fd82a830fa243a95a5e3475e5312d282295","observation_id":"e5d0f3a8-6f14-4794-95e9-61cf4c3f3ecd","resolution":{"observed_at":"2026-08-01T08:40:29.851867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2206.04658/citation-record","integrity":"/paper/2206.04658/integrity","json":"/paper/2206.04658/citation-record.json","paper":"/paper/2206.04658"},"outbound":[],"paper":{"arxiv_id":"2206.04658","last_updated":"2023-02-16T18:48:56Z","latest_version":2,"primary_category":"cs.SD","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:56:10Z","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2206.04658."}