{"as_of":"2026-08-14T03:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2bbbef68a6a1de546fdf81b17c945ba3acacb56fd268ac4343976f16dc816725","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T00:15:26.685663Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.03359","last_updated":"2025-05-06T09:29:14Z","snapshot_observed_at":"2026-08-14T02:24:30.791623Z","submitted_at":"2025-05-06T09:29:14Z","title":"Domain Adversarial Training for Mitigating Gender Bias in Speech-based Mental Health Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.03359","snapshot_observed_at":"2026-07-12T00:15:26.685663Z","title":"Domain adversarial training for mitigating gender bias in speech-based mental health detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03744","last_updated":"2026-07-04T07:33:22Z","snapshot_observed_at":"2026-08-13T04:50:15.302951Z","submitted_at":"2026-07-04T07:33:22Z","title":"Can Conversational Temporal Dynamics Improve Depression Detection in Dyads? A Preliminary Investigation in Multi-Modality Perspectives","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-12T00:15:26.685663Z"},"links":{"cited_paper":"/paper/2505.03359","citing_paper":"/paper/2607.03744"},"observation_digest":"sha256:64fabcd850d61c4be81ecd36b93c7321dd766e1c6760565ad9bb21823a18dbd0","observation_id":"b0c2a76f-9045-4353-bd88-c914ef637211","resolution":{"observed_at":"2026-07-12T00:15:26.685663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.03359/citation-record","integrity":"/paper/2505.03359/integrity","json":"/paper/2505.03359/citation-record.json","paper":"/paper/2505.03359"},"outbound":[],"paper":{"arxiv_id":"2505.03359","last_updated":"2025-05-06T09:29:14Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-14T02:24:30.791623Z","submitted_at":"2025-05-06T09:29:14Z","title":"Domain Adversarial Training for Mitigating Gender Bias in Speech-based Mental Health Detection"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2505.03359."}