{"as_of":"2026-08-07T01:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9e7167b568ac70164b15f9f797ba8a7f8f2a8be828db1e5e0dc7dbf368763499","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T11:22:27.528989Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T10:37:01.581381Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.10352","last_updated":"2025-08-05T15:33:39Z","snapshot_observed_at":"2026-08-03T02:04:50.076263Z","submitted_at":"2025-04-14T16:03:21Z","title":"Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis","version":3},"cited_work":{"arxiv_id":"2504.10352","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.10352","snapshot_observed_at":"2026-07-10T10:37:01.581381Z","title":"Pseudo-autoregressive neural codec language models for efficient zero-shot text-to-speech synthesis","venue":"eess.AS","work_id":"b13d3a91-dfe9-4122-89d0-0f61650dd1a7","year":2025},"citing_paper":{"arxiv_id":"2507.09318","last_updated":"2026-04-14T14:21:41Z","snapshot_observed_at":"2026-08-02T11:31:42.381498Z","submitted_at":"2025-07-12T15:18:47Z","title":"ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-19T04:29:41.285194Z"},"links":{"cited_paper":"/paper/2504.10352","citing_paper":"/paper/2507.09318"},"observation_digest":"sha256:b9008fe67232d399d3a87caa18cface27911bd63abed01cf8f441a85e5bc9e70","observation_id":"d87052d6-7e3b-4ec3-a499-a0fc5826aa78","resolution":{"observed_at":"2026-05-19T04:32:03.665690Z","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":"2504.10352","last_updated":"2025-08-05T15:33:39Z","snapshot_observed_at":"2026-08-03T02:04:50.076263Z","submitted_at":"2025-04-14T16:03:21Z","title":"Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.10352","snapshot_observed_at":"2026-08-06T11:22:27.528989Z","title":"Pseudo-autoregressive neural codec language models for efficient zero-shot text-to-speech synthesis","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":31,"source":"pdf_text","source_observed_at":"2026-08-06T11:22:27.528989Z"},"links":{"cited_paper":"/paper/2504.10352","citing_paper":"/paper/2507.22746"},"observation_digest":"sha256:bfec6b235563ca2c40b198815f5e67dcae83b0b434713f810d8348ab08b1c7ec","observation_id":"b2a6f30a-9185-4d39-bc60-d608c1c65b1c","resolution":{"observed_at":"2026-08-06T11:22:27.528989Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10352","last_updated":"2025-08-05T15:33:39Z","snapshot_observed_at":"2026-08-03T02:04:50.076263Z","submitted_at":"2025-04-14T16:03:21Z","title":"Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis","version":3},"cited_work":{"arxiv_id":"2504.10352","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.10352","snapshot_observed_at":"2026-07-10T10:37:01.581381Z","title":"Pseudo-autoregressive neural codec language models for efficient zero-shot text-to-speech synthesis","venue":"eess.AS","work_id":"b13d3a91-dfe9-4122-89d0-0f61650dd1a7","year":2025},"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":233,"source":"arxiv_source","source_observed_at":"2026-07-01T03:50:26.873406Z"},"links":{"cited_paper":"/paper/2504.10352","citing_paper":"/paper/2606.31247"},"observation_digest":"sha256:2f98d617a45449f1a1ccbf343a55ac3886cc6f22f271e2a1a1c0abdb93866ba4","observation_id":"5695c82b-c8ac-40e6-96b7-2887b6416d3b","resolution":{"observed_at":"2026-07-01T11:55:42.136075Z","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":"2504.10352","last_updated":"2025-08-05T15:33:39Z","snapshot_observed_at":"2026-08-03T02:04:50.076263Z","submitted_at":"2025-04-14T16:03:21Z","title":"Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis","version":3},"cited_work":{"arxiv_id":"2504.10352","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.10352","snapshot_observed_at":"2026-07-10T10:37:01.581381Z","title":"Pseudo-autoregressive neural codec language models for efficient zero-shot text-to-speech synthesis","venue":"eess.AS","work_id":"b13d3a91-dfe9-4122-89d0-0f61650dd1a7","year":2025},"citing_paper":{"arxiv_id":"2607.08256","last_updated":"2026-08-05T11:29:52Z","snapshot_observed_at":"2026-08-07T00:32:38.507854Z","submitted_at":"2026-07-09T09:01:03Z","title":"Best-of-$N$ TTS Evaluation is Confounded by ASR Family Alignment","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-10T10:31:23.170749Z"},"links":{"cited_paper":"/paper/2504.10352","citing_paper":"/paper/2607.08256"},"observation_digest":"sha256:de36850a409b642b9cb179953348b557325f473d3de1995c34fc866e311e93fb","observation_id":"16fca63d-8010-4856-a07f-35e628cb6480","resolution":{"observed_at":"2026-07-10T10:37:01.582743Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/2504.10352/citation-record","integrity":"/paper/2504.10352/integrity","json":"/paper/2504.10352/citation-record.json","paper":"/paper/2504.10352"},"outbound":[],"paper":{"arxiv_id":"2504.10352","last_updated":"2025-08-05T15:33:39Z","latest_version":3,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-03T02:04:50.076263Z","submitted_at":"2025-04-14T16:03:21Z","title":"Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot 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":"2026-08-06T06:34:29.942622+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 4 inbound Pith citation observations for arXiv:2504.10352."}