{"as_of":"2026-08-15T15:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bd01bdaa623ff352b95651c3208673ec6c5598376a8f212ed8cfc373de8a3076","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":"2026-08-15T06:32:42.880941+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":"2026-08-06T18:50:28.469565Z","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":"2026-08-06T18:50:28.656579Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1903.05316","last_updated":"2019-03-13T04:59:07Z","snapshot_observed_at":"2026-08-14T17:03:06.991354Z","submitted_at":"2019-03-13T04:59:07Z","title":"DeepCount: Crowd Counting with WiFi via Deep Learning","version":1},"cited_work":{"arxiv_id":"1903.05316","doi":null,"metadata_source":"pith","pith_arxiv_id":"1903.05316","snapshot_observed_at":"2026-08-06T18:50:28.656579Z","title":"DeepCount: Crowd Counting with WiFi via Deep Learning","venue":"cs.LG","work_id":"dde6cea2-1ef1-48c8-a513-86348bae9b9c","year":2019},"citing_paper":{"arxiv_id":"2507.07331","last_updated":"2025-08-29T04:46:25Z","snapshot_observed_at":"2026-08-14T23:35:04.475858Z","submitted_at":"2025-07-09T23:11:14Z","title":"mmFlux: Crowd Flow Analytics with Commodity mmWave MIMO Radar","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T18:50:28.469565Z"},"links":{"cited_paper":"/paper/1903.05316","citing_paper":"/paper/2507.07331"},"observation_digest":"sha256:cebecb7e1d4d18f5e5f147f3b7d34f41fbe9e76ffc6cbfca0ba852fcf9583ee7","observation_id":"458fbcf6-8d59-41bf-ae70-3dd012c3fcfa","resolution":{"observed_at":"2026-08-06T18:50:28.659019Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1903.05316/citation-record","integrity":"/paper/1903.05316/integrity","json":"/paper/1903.05316/citation-record.json","paper":"/paper/1903.05316"},"outbound":[],"paper":{"arxiv_id":"1903.05316","last_updated":"2019-03-13T04:59:07Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T17:03:06.991354Z","submitted_at":"2019-03-13T04:59:07Z","title":"DeepCount: Crowd Counting with WiFi via Deep Learning"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1903.05316."}