{"as_of":"2026-08-23T07:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b819cd188da708f1b7958bc5a1d43dd5f01ecf207988ab6f02c332f6413b5303","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":"2026-08-23T06:30:58.430688+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":"2026-08-16T04:09:21.547557Z","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":"2026-08-16T04:09:22.281492Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.07282","last_updated":"2022-10-13T18:18:09Z","snapshot_observed_at":"2026-08-16T16:24:22.179763Z","submitted_at":"2022-10-13T18:18:09Z","title":"Harfang3D Dog-Fight Sandbox: A Reinforcement Learning Research Platform for the Customized Control Tasks of Fighter Aircrafts","version":1},"cited_work":{"arxiv_id":"2210.07282","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.07282","snapshot_observed_at":"2026-08-16T04:09:22.281492Z","title":"Harfang3D Dog-Fight Sandbox: A Reinforcement Learning Research Platform for the Customized Control Tasks of Fighter Aircrafts","venue":"cs.RO","work_id":"2d8d5b01-22d8-42d9-bf31-e5cb67c18f73","year":2022},"citing_paper":{"arxiv_id":"2505.01953","last_updated":"2025-05-04T01:09:15Z","snapshot_observed_at":"2026-08-18T22:48:02.187313Z","submitted_at":"2025-05-04T01:09:15Z","title":"Training Environment for High Performance Reinforcement Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T04:09:21.547557Z"},"links":{"cited_paper":"/paper/2210.07282","citing_paper":"/paper/2505.01953"},"observation_digest":"sha256:7bbdba69087d7fe2785ceef12d59dd256a50c9b823733e0a156b8b0695cf8967","observation_id":"c83abcec-c933-468d-8fc0-e7be842b7578","resolution":{"observed_at":"2026-08-16T04:09:22.287784Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2210.07282/citation-record","integrity":"/paper/2210.07282/integrity","json":"/paper/2210.07282/citation-record.json","paper":"/paper/2210.07282"},"outbound":[],"paper":{"arxiv_id":"2210.07282","last_updated":"2022-10-13T18:18:09Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-16T16:24:22.179763Z","submitted_at":"2022-10-13T18:18:09Z","title":"Harfang3D Dog-Fight Sandbox: A Reinforcement Learning Research Platform for the Customized Control Tasks of Fighter Aircrafts"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2210.07282."}