{"as_of":"2026-08-14T10:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:715decb0190af4011c936775a9a8edf7ad6def97bcac21a23264b6394a45f2e4","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:03:29.870629Z","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":"2026-08-07T00:58:18.246309Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.08720","last_updated":"2023-07-17T04:19:30Z","snapshot_observed_at":"2026-08-13T21:46:17.765552Z","submitted_at":"2023-07-17T04:19:30Z","title":"ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.08720","snapshot_observed_at":"2026-08-07T15:03:29.870629Z","title":"ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development, July 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.16490","last_updated":"2025-05-25T10:12:09Z","snapshot_observed_at":"2026-08-14T04:36:33.230423Z","submitted_at":"2025-05-22T10:22:15Z","title":"HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T15:03:29.870629Z"},"links":{"cited_paper":"/paper/2307.08720","citing_paper":"/paper/2505.16490"},"observation_digest":"sha256:1b532d9a279d0c76dff10fa330688d2d9fc706c6977adcfdc4a3221901d31146","observation_id":"029fd8f7-27a9-43fd-b5fc-f58c97f9947c","resolution":{"observed_at":"2026-08-07T15:03:29.870629Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.08720","last_updated":"2023-07-17T04:19:30Z","snapshot_observed_at":"2026-08-13T21:46:17.765552Z","submitted_at":"2023-07-17T04:19:30Z","title":"ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development","version":1},"cited_work":{"arxiv_id":"2307.08720","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.08720","snapshot_observed_at":"2026-08-07T00:58:18.246309Z","title":"ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development","venue":"eess.AS","work_id":"498c0738-aebe-465d-9eee-d34c6f5e4ba3","year":2023},"citing_paper":{"arxiv_id":"2506.12311","last_updated":"2026-07-02T10:04:54Z","snapshot_observed_at":"2026-08-08T04:31:19.593177Z","submitted_at":"2025-06-14T02:16:38Z","title":"Phonikud: Overcoming Phonetic Underspecification for Hebrew Text-To-Speech","version":4},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-07T00:58:18.166901Z"},"links":{"cited_paper":"/paper/2307.08720","citing_paper":"/paper/2506.12311"},"observation_digest":"sha256:38da84db44184f89e45ae97956996a82bd5c81952b8559abdd1d633da0fb326e","observation_id":"20e0a17f-77f3-43fd-a554-ec5330b1b04e","resolution":{"observed_at":"2026-08-07T00:58:18.253567Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.08720/citation-record","integrity":"/paper/2307.08720/integrity","json":"/paper/2307.08720/citation-record.json","paper":"/paper/2307.08720"},"outbound":[],"paper":{"arxiv_id":"2307.08720","last_updated":"2023-07-17T04:19:30Z","latest_version":1,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-13T21:46:17.765552Z","submitted_at":"2023-07-17T04:19:30Z","title":"ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.08720."}