{"as_of":"2026-08-08T15:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:34a59bb7288f832d9504a59c71b09b1d7deba0a62af4e43726fc89390f29f82b","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:19:52.899498Z","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":"2026-07-02T00:46:24.587786Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.03204","last_updated":"2024-05-19T21:34:28Z","snapshot_observed_at":"2026-07-06T17:55:28.812944Z","submitted_at":"2024-04-04T05:15:07Z","title":"RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis","version":3},"cited_work":{"arxiv_id":"2404.03204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.03204","snapshot_observed_at":"2026-07-02T00:46:24.587786Z","title":"Rall-e: Robust codec lan- guage modeling with chain-of-thought prompting for text-to-speech synthesis","venue":null,"work_id":"3bc2ff19-e2db-49ee-b6e5-2a2ff43a9bb1","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":150,"source":"arxiv_source","source_observed_at":"2026-05-16T06:06:41.348728Z"},"links":{"cited_paper":"/paper/2404.03204","citing_paper":"/paper/2410.06885"},"observation_digest":"sha256:41ecdcb1be6d5b7e537ad1310fa30bc779bcb9cf9773a76b9cd9659bd7fc8d35","observation_id":"d4dd030f-6aa1-4378-9702-495ec96548c3","resolution":{"observed_at":"2026-05-16T06:06:41.555237Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03204","last_updated":"2024-05-19T21:34:28Z","snapshot_observed_at":"2026-07-06T17:55:28.812944Z","submitted_at":"2024-04-04T05:15:07Z","title":"RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis","version":3},"cited_work":{"arxiv_id":"2404.03204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.03204","snapshot_observed_at":"2026-07-02T00:46:24.587786Z","title":"Rall-e: Robust codec lan- guage modeling with chain-of-thought prompting for text-to-speech synthesis","venue":null,"work_id":"3bc2ff19-e2db-49ee-b6e5-2a2ff43a9bb1","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":15,"source":"pdf_text","source_observed_at":"2026-05-13T06:19:09.507440Z"},"links":{"cited_paper":"/paper/2404.03204","citing_paper":"/paper/2412.10117"},"observation_digest":"sha256:cf6146e9ce78191ef0d11820e52bc6ae4325fc97f995f269997be510c0464dc4","observation_id":"1b8e616f-9109-4e29-b9d1-6db6d7d9d4bf","resolution":{"observed_at":"2026-05-13T06:19:09.527439Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03204","last_updated":"2024-05-19T21:34:28Z","snapshot_observed_at":"2026-07-06T17:55:28.812944Z","submitted_at":"2024-04-04T05:15:07Z","title":"RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis","version":3},"cited_work":{"arxiv_id":"2404.03204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.03204","snapshot_observed_at":"2026-07-02T00:46:24.587786Z","title":"Rall-e: Robust codec lan- guage modeling with chain-of-thought prompting for text-to-speech synthesis","venue":null,"work_id":"3bc2ff19-e2db-49ee-b6e5-2a2ff43a9bb1","year":2024},"citing_paper":{"arxiv_id":"2505.17589","last_updated":"2025-05-27T07:48:34Z","snapshot_observed_at":"2026-08-08T13:18:08.248077Z","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":12,"source":"pdf_text","source_observed_at":"2026-05-16T05:27:25.425188Z"},"links":{"cited_paper":"/paper/2404.03204","citing_paper":"/paper/2505.17589"},"observation_digest":"sha256:92372a29a143012e9b151c5bab1a02eaaf76b0405580da29095225c65b227baa","observation_id":"a0a5bacd-9fb9-47f7-8051-a9667248861e","resolution":{"observed_at":"2026-05-16T05:27:25.485797Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03204","last_updated":"2024-05-19T21:34:28Z","snapshot_observed_at":"2026-07-06T17:55:28.812944Z","submitted_at":"2024-04-04T05:15:07Z","title":"RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03204","snapshot_observed_at":"2026-08-07T14:19:52.899498Z","title":"Rall-e: Robust codec language modeling with chain-of-thought prompting for text-to-speech synthesis.ArXiv, abs/2404.03204, 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":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:19:52.899498Z"},"links":{"cited_paper":"/paper/2404.03204","citing_paper":"/paper/2505.19462"},"observation_digest":"sha256:1b3a1cf2dc566875429de6c344fe0ecebad0eab6042045c8ca0d1556d1c1c290","observation_id":"873d0146-bc69-4a97-8ac2-5e2a681475df","resolution":{"observed_at":"2026-08-07T14:19:52.899498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03204","last_updated":"2024-05-19T21:34:28Z","snapshot_observed_at":"2026-07-06T17:55:28.812944Z","submitted_at":"2024-04-04T05:15:07Z","title":"RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03204","snapshot_observed_at":"2026-08-07T14:15:56.438913Z","title":"RALL-E: Robust codec language modeling with chain-of-thought prompting for text-to- speech synthesis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19669","last_updated":"2025-06-02T10:03:25Z","snapshot_observed_at":"2026-08-08T07:23:29.747553Z","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":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:15:56.438913Z"},"links":{"cited_paper":"/paper/2404.03204","citing_paper":"/paper/2505.19669"},"observation_digest":"sha256:bee6e8ebf5ef89899493ea0b6293f58ff13e2ef6ca2ba283c7ea8de451671a94","observation_id":"fb0d1b7d-887d-45c5-a7ff-2646d3a864b2","resolution":{"observed_at":"2026-08-07T14:15:56.438913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03204","last_updated":"2024-05-19T21:34:28Z","snapshot_observed_at":"2026-07-06T17:55:28.812944Z","submitted_at":"2024-04-04T05:15:07Z","title":"RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03204","snapshot_observed_at":"2026-08-06T22:19:01.200105Z","title":"RALL-E: Robust Codec Language Modelling with Chain-of- Thought Prompting for Text-to-Speech Synthesis,","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":22,"source":"pdf_text","source_observed_at":"2026-08-06T22:19:01.200105Z"},"links":{"cited_paper":"/paper/2404.03204","citing_paper":"/paper/2506.22023"},"observation_digest":"sha256:44c5a3207b049164f4d862acac19ba6e7674a8ba4158aac073aca159437a0c98","observation_id":"0b967284-e98e-45fc-b7af-9a6177e2998a","resolution":{"observed_at":"2026-08-06T22:19:01.200105Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03204","last_updated":"2024-05-19T21:34:28Z","snapshot_observed_at":"2026-07-06T17:55:28.812944Z","submitted_at":"2024-04-04T05:15:07Z","title":"RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03204","snapshot_observed_at":"2026-08-05T16:01:52.839342Z","title":"Rall-e: Robust codec lan- guage modeling with chain-of-thought prompting for text-to-speech synthesis","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":59,"source":"pdf_text","source_observed_at":"2026-08-05T16:01:52.839342Z"},"links":{"cited_paper":"/paper/2404.03204","citing_paper":"/paper/2508.19098"},"observation_digest":"sha256:cafe9e01a9b0ee57dc6349add4d691fa9df720df10d332ea3724f3f11429f0f9","observation_id":"981dec4e-3a18-4f0b-a20a-d12e616454d4","resolution":{"observed_at":"2026-08-05T16:01:52.839342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03204","last_updated":"2024-05-19T21:34:28Z","snapshot_observed_at":"2026-07-06T17:55:28.812944Z","submitted_at":"2024-04-04T05:15:07Z","title":"RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03204","snapshot_observed_at":"2026-08-04T19:11:59.601476Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09748","last_updated":"2025-09-11T12:32:08Z","snapshot_observed_at":"2026-08-08T07:23:28.359307Z","submitted_at":"2025-09-11T12:32:08Z","title":"DiTReducio: A Training-Free Acceleration for DiT-Based TTS via Progressive Calibration","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-04T19:11:59.601476Z"},"links":{"cited_paper":"/paper/2404.03204","citing_paper":"/paper/2509.09748"},"observation_digest":"sha256:171f3f577cac30f5b4a4308d9f33523cff9813d2bf88296424cd892bc82ceff7","observation_id":"3a2ed0f7-bcaa-4fa7-9dfd-69f4494c0f10","resolution":{"observed_at":"2026-08-04T19:11:59.601476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03204","last_updated":"2024-05-19T21:34:28Z","snapshot_observed_at":"2026-07-06T17:55:28.812944Z","submitted_at":"2024-04-04T05:15:07Z","title":"RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis","version":3},"cited_work":{"arxiv_id":"2404.03204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.03204","snapshot_observed_at":"2026-07-02T00:46:24.587786Z","title":"Rall-e: Robust codec lan- guage modeling with chain-of-thought prompting for text-to-speech synthesis","venue":null,"work_id":"3bc2ff19-e2db-49ee-b6e5-2a2ff43a9bb1","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":41,"source":"pdf_text","source_observed_at":"2026-05-19T18:58:15.288299Z"},"links":{"cited_paper":"/paper/2404.03204","citing_paper":"/paper/2605.16964"},"observation_digest":"sha256:55c3e2f6e1c87125fef710e74d4d55b3269fec96c99818daeca2d8f06d6f6e5d","observation_id":"eb1f0fbe-fe89-4d4d-a0ca-ea63a531d7a8","resolution":{"observed_at":"2026-05-19T19:02:43.566096Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03204","last_updated":"2024-05-19T21:34:28Z","snapshot_observed_at":"2026-07-06T17:55:28.812944Z","submitted_at":"2024-04-04T05:15:07Z","title":"RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis","version":3},"cited_work":{"arxiv_id":"2404.03204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.03204","snapshot_observed_at":"2026-07-02T00:46:24.587786Z","title":"Rall-e: Robust codec lan- guage modeling with chain-of-thought prompting for text-to-speech synthesis","venue":null,"work_id":"3bc2ff19-e2db-49ee-b6e5-2a2ff43a9bb1","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":40,"source":"arxiv_source","source_observed_at":"2026-06-28T13:17:13.510587Z"},"links":{"cited_paper":"/paper/2404.03204","citing_paper":"/paper/2606.01677"},"observation_digest":"sha256:7ac88c620ef5704a963a34a62810520110b81dd8a34d3d2f750338672ef4fc8c","observation_id":"762327a9-cff5-4e39-8f30-0479f193b123","resolution":{"observed_at":"2026-07-02T00:46:24.589459Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2404.03204/citation-record","integrity":"/paper/2404.03204/integrity","json":"/paper/2404.03204/citation-record.json","paper":"/paper/2404.03204"},"outbound":[],"paper":{"arxiv_id":"2404.03204","last_updated":"2024-05-19T21:34:28Z","latest_version":3,"primary_category":"eess.AS","snapshot_observed_at":"2026-07-06T17:55:28.812944Z","submitted_at":"2024-04-04T05:15:07Z","title":"RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2404.03204."}