{"as_of":"2026-08-07T20:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a9b015d7042e5f3d7f64bc2f739302e31222805f1f0e88d83411f07c3b4ca6de","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":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":21,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:19:51.952647Z","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":"2026-07-03T23:19:03.868044Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":"2406.07855","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-07-03T23:19:03.868044Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment","venue":null,"work_id":"d46897fa-6b0f-4803-b02b-59b87aee1d4b","year":2024},"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":100,"source":"arxiv_source","source_observed_at":"2026-05-16T06:06:41.348728Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2410.06885"},"observation_digest":"sha256:63f0424d64337cac783a019580f6bbb2a9dee157ad00f0735e099995238efb1e","observation_id":"50e7f70c-2504-4599-a672-a57d5f920719","resolution":{"observed_at":"2026-05-16T06:06:41.450210Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":"2406.07855","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-07-03T23:19:03.868044Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment","venue":null,"work_id":"d46897fa-6b0f-4803-b02b-59b87aee1d4b","year":2024},"citing_paper":{"arxiv_id":"2412.10117","last_updated":"2024-12-25T11:54:03Z","snapshot_observed_at":"2026-08-07T06:02:40.568271Z","submitted_at":"2024-12-13T12:59:39Z","title":"CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-13T06:19:09.507440Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2412.10117"},"observation_digest":"sha256:8eb440caff1a147d9a8cb471853cd80ab0fecfc984276359a1fdd56481aa53b2","observation_id":"141fa9e8-c17f-4f10-b23b-8427fbae40d1","resolution":{"observed_at":"2026-05-13T06:19:09.548549Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":"2406.07855","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-07-03T23:19:03.868044Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment","venue":null,"work_id":"d46897fa-6b0f-4803-b02b-59b87aee1d4b","year":2024},"citing_paper":{"arxiv_id":"2505.17589","last_updated":"2025-05-27T07:48:34Z","snapshot_observed_at":"2026-07-06T21:29:06.781083Z","submitted_at":"2025-05-23T07:55:21Z","title":"CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-16T05:27:25.425188Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2505.17589"},"observation_digest":"sha256:42cd5c0e83d6626d75348cb66b545336aae1d95406c4acfb39e0a03878a119ef","observation_id":"2057ab5a-29bd-459a-a087-f2b4b936c622","resolution":{"observed_at":"2026-05-16T05:27:25.498221Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-08-07T14:19:51.952647Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment.ArXiv, abs/2406.07855, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19462","last_updated":"2025-05-31T22:36:04Z","snapshot_observed_at":"2026-08-07T16:55:50.852560Z","submitted_at":"2025-05-26T03:35:44Z","title":"VoiceStar: Robust Zero-Shot Autoregressive TTS with Duration Control and Extrapolation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:19:51.952647Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2505.19462"},"observation_digest":"sha256:17d34bfabd67f0694467872e9dc6f4f3a795418687453669c73be59645cfc976","observation_id":"c099402e-4fee-4705-b271-6f0c51e6f718","resolution":{"observed_at":"2026-08-07T14:19:51.952647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-08-07T14:15:54.026219Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19595","last_updated":"2025-05-30T16:52:09Z","snapshot_observed_at":"2026-08-07T14:09:00.316829Z","submitted_at":"2025-05-26T07:07:16Z","title":"Accelerating Diffusion-based Text-to-Speech Model Training with Dual Modality Alignment","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:15:54.026219Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2505.19595"},"observation_digest":"sha256:949f0b45b12226ffcc90056c3d9650b615c71f5f6d4fae6b1b8f8c774bef955e","observation_id":"578d911b-13af-4ec7-899d-516c8e495232","resolution":{"observed_at":"2026-08-07T14:15:54.026219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-08-07T14:15:56.366851Z","title":"V ALL-E R: Robust and efficient zero- shot text-to-speech synthesis via monotonic alignment,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19669","last_updated":"2025-06-02T10:03:25Z","snapshot_observed_at":"2026-08-07T14:06:47.459513Z","submitted_at":"2025-05-26T08:25:01Z","title":"Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto-Regressive Modeling","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:15:56.366851Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2505.19669"},"observation_digest":"sha256:4db67af66f01be169849b8b8b3f11e90cb8c48bff36eab8ff12f0c40408299d1","observation_id":"2ae8e0e9-d909-44bc-b465-2e2e7fd95af7","resolution":{"observed_at":"2026-08-07T14:15:56.366851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-08-07T12:27:27.227981Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24496","last_updated":"2025-05-30T11:47:29Z","snapshot_observed_at":"2026-08-07T12:18:03.337808Z","submitted_at":"2025-05-30T11:47:29Z","title":"Speech Token Prediction via Compressed-to-fine Language Modeling for Speech Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:27:27.227981Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2505.24496"},"observation_digest":"sha256:9fbeeb8556addef1ccc6d71677e2ca0282a31b74194b08f24bab6ca23a315bb5","observation_id":"b24e8798-a39f-40c1-b133-d801cb3473be","resolution":{"observed_at":"2026-08-07T12:27:27.227981Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-08-07T11:45:38.102076Z","title":"V ALL-E R: Robust and efficient zero- shot text-to-speech synthesis via monotonic alignment,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01510","last_updated":"2025-06-02T10:18:02Z","snapshot_observed_at":"2026-08-07T11:37:13.502100Z","submitted_at":"2025-06-02T10:18:02Z","title":"LinearVC: Linear transformations of self-supervised features through the lens of voice conversion","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:45:38.102076Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2506.01510"},"observation_digest":"sha256:73e9402c4f87ccaa46e51e1fa4542b83d21e87a3fec02fad78a841ca63750d03","observation_id":"68b88b73-7536-4456-8910-c2cd7652884b","resolution":{"observed_at":"2026-08-07T11:45:38.102076Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-08-07T05:03:12.752879Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment.arXiv preprint arXiv:2406.07855, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08967","last_updated":"2025-06-13T10:07:42Z","snapshot_observed_at":"2026-08-07T20:32:05.075028Z","submitted_at":"2025-06-10T16:37:39Z","title":"Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:12.752879Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2506.08967"},"observation_digest":"sha256:c4b0cc338c63e03eaade4fa32c39b083c5f5512ccdea2d3d67e4ffcb210922b2","observation_id":"6d71bed5-e07f-464b-8b25-890a7a7847c6","resolution":{"observed_at":"2026-08-07T05:03:12.752879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-08-06T22:19:01.038507Z","title":"V ALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.22023","last_updated":"2025-06-27T08:45:21Z","snapshot_observed_at":"2026-08-07T19:17:21.433342Z","submitted_at":"2025-06-27T08:45:21Z","title":"Robust and Efficient Autoregressive Speech Synthesis with Dynamic Chunk-wise Prediction Policy","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T22:19:01.038507Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2506.22023"},"observation_digest":"sha256:d86b4dad2167e1dedd37f7104bef1082cff5f70abb85cb0164104fdc39b26089","observation_id":"da940102-74c5-4465-8666-46c1934a7c50","resolution":{"observed_at":"2026-08-06T22:19:01.038507Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-08-06T11:22:25.974745Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.22746","last_updated":"2025-08-01T03:37:42Z","snapshot_observed_at":"2026-08-06T13:36:59.117683Z","submitted_at":"2025-07-30T15:03:36Z","title":"Next Tokens Denoising for Speech Synthesis","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T11:22:25.974745Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2507.22746"},"observation_digest":"sha256:7ffc3a11e6b8367e432cd90eebe7ed21fe0ebf0cf4c9f6b23a5b140c977e1938","observation_id":"0b58e0cd-015b-4b9c-a206-ecd55188d95f","resolution":{"observed_at":"2026-08-06T11:22:25.974745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-08-05T16:01:52.604143Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19098","last_updated":"2025-08-26T14:59:30Z","snapshot_observed_at":"2026-08-06T21:25:08.912503Z","submitted_at":"2025-08-26T14:59:30Z","title":"CLEAR: Continuous Latent Autoregressive Modeling for High-quality and Low-latency Speech Synthesis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T16:01:52.604143Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2508.19098"},"observation_digest":"sha256:99efb5b4d7c5444f14e97b5cb27ce3bae145b864a9d0da9eb12b31d83e6ad76c","observation_id":"bb6b0037-dbd3-4354-9c35-d3fcd46dd6fd","resolution":{"observed_at":"2026-08-05T16:01:52.604143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-08-04T18:51:21.028424Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09631","last_updated":"2026-06-17T16:16:04Z","snapshot_observed_at":"2026-08-06T15:26:13.717443Z","submitted_at":"2025-09-11T17:16:52Z","title":"DiFlow-TTS: Compact and Low-Latency Zero-Shot Text-to-Speech with Discrete Flow Matching","version":5},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-04T18:51:21.028424Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2509.09631"},"observation_digest":"sha256:e1528fe50a8db29e335ad1acd99e9e799fa5d738c35119bf64c25f333db44a1e","observation_id":"2e059189-d9c6-48b4-9101-5cd600e5de40","resolution":{"observed_at":"2026-08-04T18:51:21.028424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":"2406.07855","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-07-03T23:19:03.868044Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment","venue":null,"work_id":"d46897fa-6b0f-4803-b02b-59b87aee1d4b","year":2024},"citing_paper":{"arxiv_id":"2509.19883","last_updated":"2026-04-11T06:12:16Z","snapshot_observed_at":"2026-08-02T07:43:41.108992Z","submitted_at":"2025-09-24T08:34:19Z","title":"CoMelSinger: Discrete Token-Based Zero-Shot Singing Synthesis With Structured Melody Control and Guidance","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-18T14:34:15.220263Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2509.19883"},"observation_digest":"sha256:3151760ac51108c4716b9a6321bec3e9d08876c3c0a6301244a030e63e59bd7f","observation_id":"34601198-1263-48fe-a624-349a6fbd892b","resolution":{"observed_at":"2026-05-18T14:36:28.791458Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-08-03T00:11:11.915149Z","title":"Vall-e r: Robust and efficient zero-shot text- to-speech synthesis via monotonic alignment.arXiv preprint arXiv:2406.07855, 2024","venue":null,"work_id":null,"year":2024},"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":19,"source":"pdf_text","source_observed_at":"2026-08-03T00:11:11.915149Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2602.12304"},"observation_digest":"sha256:f432906367e56e0b9827aa357028c966a1fd22477e4c8c2c597eab1278aece8d","observation_id":"da6cff5b-5b4c-4595-b5bf-35424dc08763","resolution":{"observed_at":"2026-08-03T00:11:11.915149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":"2406.07855","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-07-03T23:19:03.868044Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment","venue":null,"work_id":"d46897fa-6b0f-4803-b02b-59b87aee1d4b","year":2024},"citing_paper":{"arxiv_id":"2603.05373","last_updated":"2026-04-11T06:15:04Z","snapshot_observed_at":"2026-08-07T04:20:21.141625Z","submitted_at":"2026-03-05T16:59:26Z","title":"Hierarchical Decoding for Discrete Speech Synthesis with Multi-Resolution Spoof Detection","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-15T15:07:27.418534Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2603.05373"},"observation_digest":"sha256:08043cb5f265cb530d8a6d89053ea892feffa63fe2cabddcc82aff6da04581c3","observation_id":"e1c7c0ad-3a2b-41df-98f2-1572fbc0aba3","resolution":{"observed_at":"2026-05-15T15:10:06.057030Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":"2406.07855","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-07-03T23:19:03.868044Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment","venue":null,"work_id":"d46897fa-6b0f-4803-b02b-59b87aee1d4b","year":2024},"citing_paper":{"arxiv_id":"2603.14267","last_updated":"2026-04-03T07:45:32Z","snapshot_observed_at":"2026-07-06T22:49:06.164294Z","submitted_at":"2026-03-15T07:53:23Z","title":"DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-15T11:56:13.914121Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2603.14267"},"observation_digest":"sha256:9545b24e0bcaf9af3459e49f7f737a04e0cc51cf6862daf2211d7d8f325aab18","observation_id":"972ee4d0-1303-4922-bdb3-2f0576d74bae","resolution":{"observed_at":"2026-05-15T11:59:59.585731Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":"2406.07855","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-07-03T23:19:03.868044Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment","venue":null,"work_id":"d46897fa-6b0f-4803-b02b-59b87aee1d4b","year":2024},"citing_paper":{"arxiv_id":"2605.16964","last_updated":"2026-05-16T12:37:06Z","snapshot_observed_at":"2026-08-02T05:10:05.598125Z","submitted_at":"2026-05-16T12:37:06Z","title":"SemaVoice: Semantic-Aware Continuous Autoregressive Speech Synthesis","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-19T18:58:15.288299Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2605.16964"},"observation_digest":"sha256:87f29454d8d16ab91be54778f8b56606d3707a6c754bf09f3257f55da386a319","observation_id":"8db91ba4-9e23-47ce-b64e-c5d770b7165e","resolution":{"observed_at":"2026-05-19T19:02:43.551071Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":"2406.07855","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-07-03T23:19:03.868044Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment","venue":null,"work_id":"d46897fa-6b0f-4803-b02b-59b87aee1d4b","year":2024},"citing_paper":{"arxiv_id":"2606.01677","last_updated":"2026-06-01T04:35:28Z","snapshot_observed_at":"2026-08-01T15:52:02.822088Z","submitted_at":"2026-06-01T04:35:28Z","title":"UniVocal: Unified Speech-Singing Code-Switching Synthesis","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-06-28T13:17:13.510587Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2606.01677"},"observation_digest":"sha256:39b1fe04419e699119770fa1d1e97b92589442ba74042edbdca2fc7aa59011e8","observation_id":"50d6a789-19ce-4787-9372-6fb4276a5cf6","resolution":{"observed_at":"2026-07-02T00:46:24.569994Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":"2406.07855","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-07-03T23:19:03.868044Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment","venue":null,"work_id":"d46897fa-6b0f-4803-b02b-59b87aee1d4b","year":2024},"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":25,"source":"pdf_text","source_observed_at":"2026-06-28T08:18:42.002083Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2606.03455"},"observation_digest":"sha256:541f496ad7a27bf43e0c07059c277964d9ec5ba960bbaef0d3e15a9ad7862c6f","observation_id":"1eb896f0-e2f4-47a9-896e-a36b0eeb781b","resolution":{"observed_at":"2026-07-02T05:16:39.771613Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","version":1},"cited_work":{"arxiv_id":"2406.07855","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07855","snapshot_observed_at":"2026-07-03T23:19:03.868044Z","title":"Vall-e r: Robust and efficient zero-shot text-to-speech synthesis via monotonic alignment","venue":null,"work_id":"d46897fa-6b0f-4803-b02b-59b87aee1d4b","year":2024},"citing_paper":{"arxiv_id":"2606.18485","last_updated":"2026-06-16T20:58:26Z","snapshot_observed_at":"2026-08-02T09:07:10.325810Z","submitted_at":"2026-06-16T20:58:26Z","title":"MagpieTTS-LF: Inference-Time Long-Form Speech Generation Without Training on Long-Form data","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-26T22:29:05.130421Z"},"links":{"cited_paper":"/paper/2406.07855","citing_paper":"/paper/2606.18485"},"observation_digest":"sha256:76cea280eaa80bd85abc0f90f47118906eb5c26119435b581d943abcb90445d4","observation_id":"8604b175-b2de-43f5-b579-ba4ca0e83a0b","resolution":{"observed_at":"2026-07-03T23:19:03.871510Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.07855/citation-record","integrity":"/paper/2406.07855/integrity","json":"/paper/2406.07855/citation-record.json","paper":"/paper/2406.07855"},"outbound":[],"paper":{"arxiv_id":"2406.07855","last_updated":"2024-06-12T04:09:44Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-05T04:07:33.037081Z","submitted_at":"2024-06-12T04:09:44Z","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2406.07855."}