{"as_of":"2026-08-10T00:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2d1ef5956481dca18baff7fef77d418371117b99fa555957d380ccf0f194d429","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":"2026-08-09T06:31:02.800959+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":"2026-08-05T10:54:54.448247Z","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":"2026-07-03T05:47:40.945492Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.09220","last_updated":"2024-12-14T05:42:51Z","snapshot_observed_at":"2026-08-09T18:02:10.142440Z","submitted_at":"2024-12-12T12:20:27Z","title":"USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.09220","snapshot_observed_at":"2026-08-05T10:54:54.448247Z","title":"Usdrl: Unified skeleton-based dense repre- sentation learning with multi-grained feature decorrelation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03609","last_updated":"2025-09-03T18:05:02Z","snapshot_observed_at":"2026-08-06T02:08:41.944215Z","submitted_at":"2025-09-03T18:05:02Z","title":"Towards Efficient General Feature Prediction in Masked Skeleton Modeling","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T10:54:54.448247Z"},"links":{"cited_paper":"/paper/2412.09220","citing_paper":"/paper/2509.03609"},"observation_digest":"sha256:44e7416b96179180e7efca7c7fad326d02fb3ddcf0b7efc19d3d964d96528f14","observation_id":"48e522d3-e329-4e63-9649-ef5674b5e102","resolution":{"observed_at":"2026-08-05T10:54:54.448247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.09220","last_updated":"2024-12-14T05:42:51Z","snapshot_observed_at":"2026-08-09T18:02:10.142440Z","submitted_at":"2024-12-12T12:20:27Z","title":"USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation","version":2},"cited_work":{"arxiv_id":"2412.09220","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.09220","snapshot_observed_at":"2026-07-03T05:47:40.945492Z","title":"Usdrl: Unified skeleton-based dense repre- sentation learning with multi-grained feature decorrelation","venue":null,"work_id":"b2820d2c-08e5-4cdd-988d-1044f6e1fe5d","year":2024},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"cited_paper":"/paper/2412.09220","citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:29745c0bc657321d88c8eece84d4276fe5d70b38188d8c1666160120edd89881","observation_id":"d47d9a0f-6938-4e9e-969e-c193f9d17670","resolution":{"observed_at":"2026-07-03T05:47:40.947023Z","resolver_source":"arxiv_id","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/2412.09220/citation-record","integrity":"/paper/2412.09220/integrity","json":"/paper/2412.09220/citation-record.json","paper":"/paper/2412.09220"},"outbound":[],"paper":{"arxiv_id":"2412.09220","last_updated":"2024-12-14T05:42:51Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T18:02:10.142440Z","submitted_at":"2024-12-12T12:20:27Z","title":"USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation"},"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 2 inbound Pith citation observations for arXiv:2412.09220."}