{"as_of":"2026-08-16T22:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:73870a37430f1b6d0db62e939481522b073f1f90d51106edf33005657497d025","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":"2026-08-16T06:30:59.297886+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":"2026-08-15T22:55:38.565046Z","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":"2026-08-15T22:55:38.751253Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1909.11519","last_updated":"2020-03-27T10:08:39Z","snapshot_observed_at":"2026-08-16T17:28:44.492711Z","submitted_at":"2019-09-25T14:26:32Z","title":"Gated Channel Transformation for Visual Recognition","version":2},"cited_work":{"arxiv_id":"1909.11519","doi":null,"metadata_source":"pith","pith_arxiv_id":"1909.11519","snapshot_observed_at":"2026-08-15T22:55:38.751253Z","title":"Gated Channel Transformation for Visual Recognition","venue":"cs.CV","work_id":"360245f4-5edf-4332-9678-197d0302479d","year":2019},"citing_paper":{"arxiv_id":"2505.05943","last_updated":"2025-05-09T10:36:30Z","snapshot_observed_at":"2026-08-16T14:49:47.657763Z","submitted_at":"2025-05-09T10:36:30Z","title":"Achieving 3D Attention via Triplet Squeeze and Excitation Block","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T22:55:38.565046Z"},"links":{"cited_paper":"/paper/1909.11519","citing_paper":"/paper/2505.05943"},"observation_digest":"sha256:e5b7e6b9318ce361b485215c9710f53978ec90dc137511dc7fa70e87ac7712ea","observation_id":"311a89e8-1e33-4233-94bc-ac826032a2e5","resolution":{"observed_at":"2026-08-15T22:55:38.756039Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/1909.11519/citation-record","integrity":"/paper/1909.11519/integrity","json":"/paper/1909.11519/citation-record.json","paper":"/paper/1909.11519"},"outbound":[],"paper":{"arxiv_id":"1909.11519","last_updated":"2020-03-27T10:08:39Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T17:28:44.492711Z","submitted_at":"2019-09-25T14:26:32Z","title":"Gated Channel Transformation for Visual 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":"2026-08-16T06:30:59.297886+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 1 inbound Pith citation observation for arXiv:1909.11519."}