{"as_of":"2026-08-06T09:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1f676e5d1a2a585e45c1b73d79cbc66218bc763ac4fafa5d4f078c98891febe8","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":"2026-08-06T06:34:29.942622+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":"2026-07-13T22:08:47.493022Z","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":"2210.05234","last_updated":"2022-10-11T08:05:18Z","snapshot_observed_at":"2026-08-05T23:44:38.328932Z","submitted_at":"2022-10-11T08:05:18Z","title":"It Takes Two: Masked Appearance-Motion Modeling for Self-supervised Video Transformer Pre-training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.05234","snapshot_observed_at":"2026-07-13T22:08:47.493022Z","title":"It takes two: Masked appearance-motion modeling for self-supervised video transformer pre-training.arXiv preprint arXiv:2210.05234, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.19226","last_updated":"2026-07-02T17:59:52Z","snapshot_observed_at":"2026-07-13T22:08:05.549858Z","submitted_at":"2026-03-19T17:59:45Z","title":"Under One Sun: Multi-Object Generative Perception of Materials and Illumination","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-07-13T22:08:47.493022Z"},"links":{"cited_paper":"/paper/2210.05234","citing_paper":"/paper/2603.19226"},"observation_digest":"sha256:226274e8c00b57b9f88c2f6ed1bbe31660cb283372dd0e3721f0014dd642a7bb","observation_id":"a514b88d-5482-4726-89a2-ded3d4589521","resolution":{"observed_at":"2026-07-13T22:08:47.493022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2210.05234/citation-record","integrity":"/paper/2210.05234/integrity","json":"/paper/2210.05234/citation-record.json","paper":"/paper/2210.05234"},"outbound":[],"paper":{"arxiv_id":"2210.05234","last_updated":"2022-10-11T08:05:18Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T23:44:38.328932Z","submitted_at":"2022-10-11T08:05:18Z","title":"It Takes Two: Masked Appearance-Motion Modeling for Self-supervised Video Transformer Pre-training"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2210.05234."}