{"as_of":"2026-08-09T22:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:18ac08df5773651cbe0a56f7a26d2ce051b50202527c6c6994f0341b7c11c827","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T21:10:33.250413Z","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":"2026-08-06T16:34:00.281041Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.13505","last_updated":"2022-04-07T23:31:07Z","snapshot_observed_at":"2026-07-06T12:42:12.504731Z","submitted_at":"2022-02-28T01:58:24Z","title":"Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.13505","snapshot_observed_at":"2026-08-08T21:10:33.250413Z","title":"Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.04874","last_updated":"2025-07-17T12:44:11Z","snapshot_observed_at":"2026-08-08T21:05:37.017028Z","submitted_at":"2025-02-07T12:27:13Z","title":"The Role of Integrity Monitoring in Connected and Automated Vehicles: Current State-of-Practice and Future Directions","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-08T21:10:33.250413Z"},"links":{"cited_paper":"/paper/2202.13505","citing_paper":"/paper/2502.04874"},"observation_digest":"sha256:a8b8f3c09ae57604e3422961fda0dcd9523741a8f69d273e2e0246410467e84b","observation_id":"a2cf28e2-c3cd-488e-bed4-96bdac256ca3","resolution":{"observed_at":"2026-08-08T21:10:33.250413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.13505","last_updated":"2022-04-07T23:31:07Z","snapshot_observed_at":"2026-07-06T12:42:12.504731Z","submitted_at":"2022-02-28T01:58:24Z","title":"Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR","version":2},"cited_work":{"arxiv_id":"2202.13505","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.13505","snapshot_observed_at":"2026-08-06T16:34:00.281041Z","title":"Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR","venue":"cs.CV","work_id":"872afde0-3dd4-4065-8344-c9ccb280ab4b","year":2022},"citing_paper":{"arxiv_id":"2507.13073","last_updated":"2025-07-17T12:42:28Z","snapshot_observed_at":"2026-08-06T16:28:52.602873Z","submitted_at":"2025-07-17T12:42:28Z","title":"Dual LiDAR-Based Traffic Movement Count Estimation at a Signalized Intersection: Deployment, Data Collection, and Preliminary Analysis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T16:33:58.814269Z"},"links":{"cited_paper":"/paper/2202.13505","citing_paper":"/paper/2507.13073"},"observation_digest":"sha256:7da2d77c88c7597b9f8e85ddaf4ade9920cbde73eeb6700d908227dc4a0c981e","observation_id":"37af8eaf-96e7-4ff3-8a2e-baf217608d98","resolution":{"observed_at":"2026-08-06T16:34:00.330672Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2202.13505/citation-record","integrity":"/paper/2202.13505/integrity","json":"/paper/2202.13505/citation-record.json","paper":"/paper/2202.13505"},"outbound":[],"paper":{"arxiv_id":"2202.13505","last_updated":"2022-04-07T23:31:07Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T12:42:12.504731Z","submitted_at":"2022-02-28T01:58:24Z","title":"Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.13505."}