{"as_of":"2026-08-09T22:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:64caed27346499c96b8ace06243cad52e318059da95d0e30893ac5fcfc2bae97","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":"2026-08-09T06:31:02.800959+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":"2026-08-04T22:55:17.131980Z","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":"2026-08-04T22:55:17.588863Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.15042","last_updated":"2022-06-30T06:12:48Z","snapshot_observed_at":"2026-08-07T18:33:46.257091Z","submitted_at":"2022-06-30T06:12:48Z","title":"Automated Wheat Disease Detection using a ROS-based Autonomous Guided UAV","version":1},"cited_work":{"arxiv_id":"2206.15042","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.15042","snapshot_observed_at":"2026-08-04T22:55:17.588863Z","title":"Automated Wheat Disease Detection using a ROS-based Autonomous Guided UAV","venue":"cs.RO","work_id":"3f17d163-fec9-4d61-b3a2-d606bc27c602","year":2022},"citing_paper":{"arxiv_id":"2509.06907","last_updated":"2025-09-08T17:23:28Z","snapshot_observed_at":"2026-08-07T21:45:39.692701Z","submitted_at":"2025-09-08T17:23:28Z","title":"FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-04T22:55:17.131980Z"},"links":{"cited_paper":"/paper/2206.15042","citing_paper":"/paper/2509.06907"},"observation_digest":"sha256:c47d9819f26f0db2284f334b846741e315d0210373c3acc335eaf4056b95f6d5","observation_id":"1e4b55b7-b13f-4087-9314-3f8c6183374e","resolution":{"observed_at":"2026-08-04T22:55:17.593475Z","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/2206.15042/citation-record","integrity":"/paper/2206.15042/integrity","json":"/paper/2206.15042/citation-record.json","paper":"/paper/2206.15042"},"outbound":[],"paper":{"arxiv_id":"2206.15042","last_updated":"2022-06-30T06:12:48Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-07T18:33:46.257091Z","submitted_at":"2022-06-30T06:12:48Z","title":"Automated Wheat Disease Detection using a ROS-based Autonomous Guided UAV"},"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 1 inbound Pith citation observation for arXiv:2206.15042."}