{"as_of":"2026-08-10T05:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:183aa6be83d4859b4294928c6a3c795335dfe520f246e8e5f9f3394475d60617","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":"2026-08-01T19:01:14.923711Z","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":"2208.05775","last_updated":"2022-08-11T12:12:07Z","snapshot_observed_at":"2026-08-09T19:43:30.292821Z","submitted_at":"2022-08-11T12:12:07Z","title":"PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.05775","snapshot_observed_at":"2026-08-01T19:01:14.923711Z","title":"PSUMNet: Unified modality part streams are all you need for efficient pose-based action recognition,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17121","last_updated":"2026-07-19T08:13:31Z","snapshot_observed_at":"2026-08-09T06:29:47.334511Z","submitted_at":"2026-07-19T08:13:31Z","title":"Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T19:01:14.923711Z"},"links":{"cited_paper":"/paper/2208.05775","citing_paper":"/paper/2607.17121"},"observation_digest":"sha256:1fd97a02723d3b797e664ad8e3a9ceea120b8cb798c94ba35ac40fdf8d1f5e1c","observation_id":"fe6345d2-a8bf-4dc6-b394-768dde6ab51e","resolution":{"observed_at":"2026-08-01T19:01:14.923711Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2208.05775/citation-record","integrity":"/paper/2208.05775/integrity","json":"/paper/2208.05775/citation-record.json","paper":"/paper/2208.05775"},"outbound":[],"paper":{"arxiv_id":"2208.05775","last_updated":"2022-08-11T12:12:07Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T19:43:30.292821Z","submitted_at":"2022-08-11T12:12:07Z","title":"PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2208.05775."}