{"as_of":"2026-08-16T09:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a85e36b0aa59d43a229cbc0d0aa70abc0f1d4538bea99eae0cca9f35c89e981d","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":"2026-08-16T06:30:59.297886+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":"2026-08-14T10:38:10.869159Z","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":"2026-06-30T09:34:34.722975Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2207.11075","last_updated":"2022-07-22T13:33:03Z","snapshot_observed_at":"2026-08-15T15:15:35.157329Z","submitted_at":"2022-07-22T13:33:03Z","title":"RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos","version":1},"cited_work":{"arxiv_id":"2207.11075","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2207.11075","snapshot_observed_at":"2026-06-30T09:34:34.722975Z","title":"Realflow: Em- based realistic optical flow dataset generation from videos","venue":null,"work_id":"51136b03-dbdb-44a8-938b-c879ffba13f1","year":2022},"citing_paper":{"arxiv_id":"2606.29004","last_updated":"2026-06-27T16:37:51Z","snapshot_observed_at":"2026-07-31T22:28:18.155611Z","submitted_at":"2026-06-27T16:37:51Z","title":"SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T09:28:34.123592Z"},"links":{"cited_paper":"/paper/2207.11075","citing_paper":"/paper/2606.29004"},"observation_digest":"sha256:f46a143223db7b36bab5373bf116552cb9c1ee6bc6546ab8df74e76e105124b6","observation_id":"66a4a823-f434-40b6-a799-47a76dbe1cf3","resolution":{"observed_at":"2026-06-30T09:34:34.724498Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.11075","last_updated":"2022-07-22T13:33:03Z","snapshot_observed_at":"2026-08-15T15:15:35.157329Z","submitted_at":"2022-07-22T13:33:03Z","title":"RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.11075","snapshot_observed_at":"2026-08-14T10:38:10.869159Z","title":"arXiv preprint arXiv:2207.11075 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.13460","last_updated":"2026-08-13T16:43:49Z","snapshot_observed_at":"2026-08-16T08:11:58.670187Z","submitted_at":"2026-08-13T16:43:49Z","title":"SNM-VFI: Symmetric Nonlinear Motion-Guided Generative Video Frame Interpolation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T10:38:10.869159Z"},"links":{"cited_paper":"/paper/2207.11075","citing_paper":"/paper/2608.13460"},"observation_digest":"sha256:c57b53c894f9166b33b66522f9df0fd2adcae09beb3298db3d3855c65ffe967d","observation_id":"7a8e78e6-c786-4fe4-bb08-f68ff510aa7a","resolution":{"observed_at":"2026-08-14T10:38:10.869159Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2207.11075/citation-record","integrity":"/paper/2207.11075/integrity","json":"/paper/2207.11075/citation-record.json","paper":"/paper/2207.11075"},"outbound":[],"paper":{"arxiv_id":"2207.11075","last_updated":"2022-07-22T13:33:03Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T15:15:35.157329Z","submitted_at":"2022-07-22T13:33:03Z","title":"RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.11075."}