{"as_of":"2026-08-17T23:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cc9aa2df5858792aff3fab7f9061344d3e57a977638b8b7f8da6e543c51d4901","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":"2026-08-17T06:30:58.91139+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":"2026-08-16T10:09:40.906317Z","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":"2026-08-16T10:09:42.116020Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.10407","last_updated":"2023-11-11T21:51:17Z","snapshot_observed_at":"2026-08-16T15:07:08.975583Z","submitted_at":"2023-08-21T01:21:21Z","title":"Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges","version":2},"cited_work":{"arxiv_id":"2308.10407","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.10407","snapshot_observed_at":"2026-08-16T10:09:42.116020Z","title":"Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges","venue":"cs.LG","work_id":"147282ae-3dd2-4913-9240-feebc12ea573","year":2023},"citing_paper":{"arxiv_id":"2504.18939","last_updated":"2025-04-26T14:51:46Z","snapshot_observed_at":"2026-08-16T10:03:37.199210Z","submitted_at":"2025-04-26T14:51:46Z","title":"Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T10:09:40.906317Z"},"links":{"cited_paper":"/paper/2308.10407","citing_paper":"/paper/2504.18939"},"observation_digest":"sha256:fff4dec5a9c7f8298a7da224428e278362ed2e1b09333e17e998e479d68ae641","observation_id":"bde3bcd1-a9f3-4c7b-96e7-747439d39957","resolution":{"observed_at":"2026-08-16T10:09:42.121500Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2308.10407/citation-record","integrity":"/paper/2308.10407/integrity","json":"/paper/2308.10407/citation-record.json","paper":"/paper/2308.10407"},"outbound":[],"paper":{"arxiv_id":"2308.10407","last_updated":"2023-11-11T21:51:17Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T15:07:08.975583Z","submitted_at":"2023-08-21T01:21:21Z","title":"Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2308.10407."}