{"as_of":"2026-08-09T23:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:686e57e487769469c8e87da9e4af8597d3edae8793f2ea134b06d2167dabc756","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":"2026-08-09T06:31:02.800959+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":"2026-08-06T13:24:27.507201Z","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":"2026-08-06T13:24:31.703852Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.16579","last_updated":"2025-07-01T05:44:57Z","snapshot_observed_at":"2026-08-01T16:34:42.779898Z","submitted_at":"2023-07-31T11:29:50Z","title":"Contrastive Conditional Latent Diffusion for Audio-visual Segmentation","version":2},"cited_work":{"arxiv_id":"2307.16579","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.16579","snapshot_observed_at":"2026-08-06T13:24:31.703852Z","title":"Contrastive Conditional Latent Diffusion for Audio-visual Segmentation","venue":"cs.CV","work_id":"e2fb4410-4e8b-44fc-8fa7-e08f40beab92","year":2023},"citing_paper":{"arxiv_id":"2507.20740","last_updated":"2025-07-28T11:46:35Z","snapshot_observed_at":"2026-08-07T21:15:45.770589Z","submitted_at":"2025-07-28T11:46:35Z","title":"Implicit Counterfactual Learning for Audio-Visual Segmentation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:27.507201Z"},"links":{"cited_paper":"/paper/2307.16579","citing_paper":"/paper/2507.20740"},"observation_digest":"sha256:61015cb7f0442ad9a1071c0775d167b6db25621985aa5279dae91a8126f1262b","observation_id":"076f56ba-c832-4b60-b184-fb3d02046c3e","resolution":{"observed_at":"2026-08-06T13:24:31.766124Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.16579/citation-record","integrity":"/paper/2307.16579/integrity","json":"/paper/2307.16579/citation-record.json","paper":"/paper/2307.16579"},"outbound":[],"paper":{"arxiv_id":"2307.16579","last_updated":"2025-07-01T05:44:57Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-01T16:34:42.779898Z","submitted_at":"2023-07-31T11:29:50Z","title":"Contrastive Conditional Latent Diffusion for Audio-visual Segmentation"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2307.16579."}