{"as_of":"2026-07-31T13:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:59f9c229dfe3d39995ce324e9d4f08cc67ef2a099aa9c9887eeca74788da8a53","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":"2026-07-31T06:34:12.847434+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":"2026-07-15T12:21:48.698333Z","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":"2026-07-02T12:36:56.317033Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.13085","last_updated":"2025-05-20T10:22:17Z","snapshot_observed_at":"2026-07-06T21:26:15.934710Z","submitted_at":"2025-05-19T13:19:49Z","title":"Universal Semantic Disentangled Privacy-preserving Speech Representation Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13085","snapshot_observed_at":"2026-07-15T12:21:48.698333Z","title":"Available: https://arxiv.org/abs/2505.13085","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2603.08977","last_updated":"2026-06-07T05:11:25Z","snapshot_observed_at":"2026-07-15T12:21:48.442465Z","submitted_at":"2026-03-09T22:11:40Z","title":"Universal Speech Content Factorization","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-15T12:21:48.698333Z"},"links":{"cited_paper":"/paper/2505.13085","citing_paper":"/paper/2603.08977"},"observation_digest":"sha256:4eb76d9802eb9279fbff1442443cd21dbd915a213d0e8cfdce54a4a6a39d571a","observation_id":"d57897c5-718f-44f5-8623-670205c2ead3","resolution":{"observed_at":"2026-07-15T12:21:48.698333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13085","last_updated":"2025-05-20T10:22:17Z","snapshot_observed_at":"2026-07-06T21:26:15.934710Z","submitted_at":"2025-05-19T13:19:49Z","title":"Universal Semantic Disentangled Privacy-preserving Speech Representation Learning","version":2},"cited_work":{"arxiv_id":"2505.13085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.13085","snapshot_observed_at":"2026-07-02T12:36:56.317033Z","title":"Univer- sal semantic disentangled privacy-preserving speech representa- tion learning,","venue":null,"work_id":"7ec2aa56-2617-457b-a167-49b036860dad","year":2025},"citing_paper":{"arxiv_id":"2606.05561","last_updated":"2026-06-04T01:16:01Z","snapshot_observed_at":"2026-07-06T23:45:33.157370Z","submitted_at":"2026-06-04T01:16:01Z","title":"InfoShield: Privacy-Preserving Speech Representations for Mental Health Screening via Information-Theoretic Optimization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-28T02:03:42.928266Z"},"links":{"cited_paper":"/paper/2505.13085","citing_paper":"/paper/2606.05561"},"observation_digest":"sha256:d793a77c696efc8170b7af643d8dcf153bc3def4f365b8d68fa79b911f42e592","observation_id":"dabfbd56-6831-4555-9d23-563724d449ac","resolution":{"observed_at":"2026-07-02T12:36:56.318538Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.13085/citation-record","integrity":"/paper/2505.13085/integrity","json":"/paper/2505.13085/citation-record.json","paper":"/paper/2505.13085"},"outbound":[],"paper":{"arxiv_id":"2505.13085","last_updated":"2025-05-20T10:22:17Z","latest_version":2,"primary_category":"eess.AS","snapshot_observed_at":"2026-07-06T21:26:15.934710Z","submitted_at":"2025-05-19T13:19:49Z","title":"Universal Semantic Disentangled Privacy-preserving Speech Representation Learning"},"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":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"thesis":"As of 31 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.13085."}