{"as_of":"2026-08-11T17:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:35085c2d9f0fb3a2f1798f71c8bf2bf1db16a342ddcd9231e9f754ce23d75e63","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":"2026-08-11T06:34:44.6726+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":"2026-08-07T04:18:38.376019Z","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":"2026-08-07T04:18:43.355446Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.15538","last_updated":"2022-11-28T16:44:00Z","snapshot_observed_at":"2026-07-06T14:24:01.962012Z","submitted_at":"2022-11-28T16:44:00Z","title":"Graph Convolutional Network for Multi-Target Multi-Camera Vehicle Tracking","version":1},"cited_work":{"arxiv_id":"2211.15538","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.15538","snapshot_observed_at":"2026-08-07T04:18:43.355446Z","title":"Graph Convolutional Network for Multi-Target Multi-Camera Vehicle Tracking","venue":"cs.CV","work_id":"8cb77141-9900-493b-97c4-3c608bfcb347","year":2022},"citing_paper":{"arxiv_id":"2506.11386","last_updated":"2025-06-13T01:09:13Z","snapshot_observed_at":"2026-08-10T15:07:30.098476Z","submitted_at":"2025-06-13T01:09:13Z","title":"Design and Simulation of Vehicle Motion Tracking System using a Youla Controller Output Observation System","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T04:18:38.376019Z"},"links":{"cited_paper":"/paper/2211.15538","citing_paper":"/paper/2506.11386"},"observation_digest":"sha256:1a3a6e11c6695cb803f54b14fa20d9cffa67ffbd3cc2a89f3305ce297224f2b4","observation_id":"13518f99-3f12-4ed3-98e7-b875f719673d","resolution":{"observed_at":"2026-08-07T04:18:43.458632Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2211.15538/citation-record","integrity":"/paper/2211.15538/integrity","json":"/paper/2211.15538/citation-record.json","paper":"/paper/2211.15538"},"outbound":[],"paper":{"arxiv_id":"2211.15538","last_updated":"2022-11-28T16:44:00Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T14:24:01.962012Z","submitted_at":"2022-11-28T16:44:00Z","title":"Graph Convolutional Network for Multi-Target Multi-Camera Vehicle Tracking"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2211.15538."}