{"as_of":"2026-08-10T08:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5e8c12b2296d9da6c06edc69cdcddcc6952530ea4658b632a63d4126f691c541","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:07:27.971869Z","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":"2026-07-08T00:04:22.427613Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.00356","last_updated":"2024-07-09T14:49:02Z","snapshot_observed_at":"2026-08-10T00:35:26.515774Z","submitted_at":"2024-06-01T08:19:56Z","title":"AudioLCM: Text-to-Audio Generation with Latent Consistency Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00356","snapshot_observed_at":"2026-08-06T15:07:27.971869Z","title":"Audiolcm: Text-to-audio generation with latent consistency models.arXiv preprint arXiv:2406.00356, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16884","last_updated":"2025-07-22T16:26:58Z","snapshot_observed_at":"2026-08-06T16:54:35.498677Z","submitted_at":"2025-07-22T16:26:58Z","title":"SplitMeanFlow: Interval Splitting Consistency in Few-Step Generative Modeling","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T15:07:27.971869Z"},"links":{"cited_paper":"/paper/2406.00356","citing_paper":"/paper/2507.16884"},"observation_digest":"sha256:effe4509e48e156139ae10e9dcb91a316aa69048b342cf4b9d55e6015612d740","observation_id":"4bc6f587-7168-4dd7-b5aa-bdf28520038d","resolution":{"observed_at":"2026-08-06T15:07:27.971869Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00356","last_updated":"2024-07-09T14:49:02Z","snapshot_observed_at":"2026-08-10T00:35:26.515774Z","submitted_at":"2024-06-01T08:19:56Z","title":"AudioLCM: Text-to-Audio Generation with Latent Consistency Models","version":2},"cited_work":{"arxiv_id":"2406.00356","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.00356","snapshot_observed_at":"2026-07-08T00:04:22.427613Z","title":"AudioLCM: Text-to-Audio Generation with Latent Consistency Models","venue":"eess.AS","work_id":"738ac4c2-8ba8-422f-9bf6-23def581ed6a","year":2024},"citing_paper":{"arxiv_id":"2606.23080","last_updated":"2026-06-22T09:30:02Z","snapshot_observed_at":"2026-07-06T23:57:53.101659Z","submitted_at":"2026-06-22T09:30:02Z","title":"AudioCALM: Continuous Autoregressive Language Modeling for Universal Audio Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-26T07:24:01.244733Z"},"links":{"cited_paper":"/paper/2406.00356","citing_paper":"/paper/2606.23080"},"observation_digest":"sha256:99a857860045b7a97cec38c33e5a11c86a7417fd2dee34c632ad5e7c53a1fa2b","observation_id":"ff90ff63-a2bc-4138-a089-16985be13a08","resolution":{"observed_at":"2026-07-04T11:59:50.938883Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00356","last_updated":"2024-07-09T14:49:02Z","snapshot_observed_at":"2026-08-10T00:35:26.515774Z","submitted_at":"2024-06-01T08:19:56Z","title":"AudioLCM: Text-to-Audio Generation with Latent Consistency Models","version":2},"cited_work":{"arxiv_id":"2406.00356","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.00356","snapshot_observed_at":"2026-07-08T00:04:22.427613Z","title":"AudioLCM: Text-to-Audio Generation with Latent Consistency Models","venue":"eess.AS","work_id":"738ac4c2-8ba8-422f-9bf6-23def581ed6a","year":2024},"citing_paper":{"arxiv_id":"2607.05196","last_updated":"2026-07-07T15:36:48Z","snapshot_observed_at":"2026-08-09T15:40:13.197295Z","submitted_at":"2026-07-06T15:11:57Z","title":"Unified Audio Intelligence Without Regressing on Text Intelligence","version":1},"reference_index":180,"source":"arxiv_source","source_observed_at":"2026-07-07T23:59:38.702609Z"},"links":{"cited_paper":"/paper/2406.00356","citing_paper":"/paper/2607.05196"},"observation_digest":"sha256:e6ac1214dc60e7f5e439155eb75b2059d7766585b6dbbb0e7036a5493f615e34","observation_id":"26af4b3b-de4d-4114-b2ac-8845a58a1761","resolution":{"observed_at":"2026-07-08T00:04:22.428887Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00356","last_updated":"2024-07-09T14:49:02Z","snapshot_observed_at":"2026-08-10T00:35:26.515774Z","submitted_at":"2024-06-01T08:19:56Z","title":"AudioLCM: Text-to-Audio Generation with Latent Consistency Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00356","snapshot_observed_at":"2026-07-11T07:46:49.059192Z","title":"arXiv preprint arXiv:2406.00356 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05196","last_updated":"2026-07-07T15:36:48Z","snapshot_observed_at":"2026-08-09T15:40:13.197295Z","submitted_at":"2026-07-06T15:11:57Z","title":"Unified Audio Intelligence Without Regressing on Text Intelligence","version":2},"reference_index":180,"source":"arxiv_source","source_observed_at":"2026-07-11T07:46:49.059192Z"},"links":{"cited_paper":"/paper/2406.00356","citing_paper":"/paper/2607.05196"},"observation_digest":"sha256:2a77551b5c790950aa2fe5b9d51f1ee3f54ffe2c02c4b46586340686338edddf","observation_id":"aa564bdb-bbec-413c-a539-ccd03b6c3a08","resolution":{"observed_at":"2026-07-11T07:46:49.059192Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00356","last_updated":"2024-07-09T14:49:02Z","snapshot_observed_at":"2026-08-10T00:35:26.515774Z","submitted_at":"2024-06-01T08:19:56Z","title":"AudioLCM: Text-to-Audio Generation with Latent Consistency Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00356","snapshot_observed_at":"2026-07-14T11:52:50.598080Z","title":"Audiolcm: Text-to-audio generation with latent consistency models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10421","last_updated":"2026-07-11T17:59:32Z","snapshot_observed_at":"2026-08-07T22:08:00.566907Z","submitted_at":"2026-07-11T17:59:32Z","title":"FdAudio: MeanFlow-Anchored Fr\\'echet-Distance Post-Training for One-Step Text-to-Audio Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-14T11:52:50.598080Z"},"links":{"cited_paper":"/paper/2406.00356","citing_paper":"/paper/2607.10421"},"observation_digest":"sha256:8f2cbddd42a3ab1eb50460119b06bbd7a01d16dc312ca3ef6ce2ae3475e83e62","observation_id":"448a95b5-f72f-46fa-8bb6-02ad2c8b0be9","resolution":{"observed_at":"2026-07-14T11:52:50.598080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.00356/citation-record","integrity":"/paper/2406.00356/integrity","json":"/paper/2406.00356/citation-record.json","paper":"/paper/2406.00356"},"outbound":[],"paper":{"arxiv_id":"2406.00356","last_updated":"2024-07-09T14:49:02Z","latest_version":2,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-10T00:35:26.515774Z","submitted_at":"2024-06-01T08:19:56Z","title":"AudioLCM: Text-to-Audio Generation with Latent Consistency Models"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.00356."}