{"as_of":"2026-08-22T09:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ba19efc5f8128db90a3e62d66750eb35376c098f651c4d1584ba342f494e8eff","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":"2026-08-22T06:32:14.747728+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":"2026-08-07T14:16:17.971323Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T14:16:18.629622Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2107.05122","last_updated":"2021-07-11T19:40:19Z","snapshot_observed_at":"2026-08-21T09:08:22.702190Z","submitted_at":"2021-07-11T19:40:19Z","title":"Interpretable Deep Feature Propagation for Early Action Recognition","version":1},"cited_work":{"arxiv_id":"2107.05122","doi":null,"metadata_source":"pith","pith_arxiv_id":"2107.05122","snapshot_observed_at":"2026-08-07T14:16:18.629622Z","title":"Interpretable Deep Feature Propagation for Early Action Recognition","venue":"cs.CV","work_id":"c8ccd870-b2e2-4643-95a1-0acb8af9cb44","year":2021},"citing_paper":{"arxiv_id":"2506.15688","last_updated":"2025-05-26T04:32:15Z","snapshot_observed_at":"2026-08-16T23:04:55.976034Z","submitted_at":"2025-05-26T04:32:15Z","title":"Cellular Traffic Prediction via Deep State Space Models with Attention Mechanism","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T14:16:17.971323Z"},"links":{"cited_paper":"/paper/2107.05122","citing_paper":"/paper/2506.15688"},"observation_digest":"sha256:02bbdbdb6038d70887a364be5db2d307edb036a3f6e1dd5546fd81ac2a2faba3","observation_id":"c2d8c8fc-03b4-4744-b507-fc44171ebcd1","resolution":{"observed_at":"2026-08-07T14:16:18.702708Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2107.05122/citation-record","integrity":"/paper/2107.05122/integrity","json":"/paper/2107.05122/citation-record.json","paper":"/paper/2107.05122"},"outbound":[],"paper":{"arxiv_id":"2107.05122","last_updated":"2021-07-11T19:40:19Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-21T09:08:22.702190Z","submitted_at":"2021-07-11T19:40:19Z","title":"Interpretable Deep Feature Propagation for Early 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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2107.05122."}