{"as_of":"2026-08-13T00:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4159c3aed9d930f1c83fb8d133f43615df18cfdd2932620ece0f699406a517f3","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":"2026-08-12T06:34:41.77262+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":"2026-05-13T18:48:40.813486Z","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":"2026-05-13T18:53:08.548901Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.11790","last_updated":"2024-09-03T07:34:44Z","snapshot_observed_at":"2026-07-06T17:18:40.469815Z","submitted_at":"2024-01-22T09:40:52Z","title":"Deep Learning for Computer Vision based Activity Recognition and Fall Detection of the Elderly: a Systematic Review","version":3},"cited_work":{"arxiv_id":"2401.11790","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.11790","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c26ec9c7-ee0a-4104-bf59-27efa7f2d07a","year":2024},"citing_paper":{"arxiv_id":"2604.02711","last_updated":"2026-04-08T23:13:03Z","snapshot_observed_at":"2026-08-11T13:28:32.042697Z","submitted_at":"2026-04-03T04:09:47Z","title":"Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-13T18:48:40.813486Z"},"links":{"cited_paper":"/paper/2401.11790","citing_paper":"/paper/2604.02711"},"observation_digest":"sha256:607644e29e645e07a4e6e17a00888580c4131aa38115bdb7b1fcccac075c339b","observation_id":"4cce9ebf-5cdd-4af8-bc3e-2721229e0356","resolution":{"observed_at":"2026-05-13T18:53:08.550267Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2401.11790/citation-record","integrity":"/paper/2401.11790/integrity","json":"/paper/2401.11790/citation-record.json","paper":"/paper/2401.11790"},"outbound":[],"paper":{"arxiv_id":"2401.11790","last_updated":"2024-09-03T07:34:44Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T17:18:40.469815Z","submitted_at":"2024-01-22T09:40:52Z","title":"Deep Learning for Computer Vision based Activity Recognition and Fall Detection of the Elderly: a Systematic Review"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2401.11790."}