{"as_of":"2026-08-16T18:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0b8f311040c3123b4bf48794cf8808655f4490f98ba26133a98525db8ec80d7b","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":"2026-08-16T06:30:59.297886+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":"2026-08-14T14:15:51.803835Z","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":"2026-08-14T14:15:51.895828Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1801.05500","last_updated":"2018-01-16T22:35:55Z","snapshot_observed_at":"2026-08-14T19:54:33.237347Z","submitted_at":"2018-01-16T22:35:55Z","title":"Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management","version":1},"cited_work":{"arxiv_id":"1801.05500","doi":null,"metadata_source":"pith","pith_arxiv_id":"1801.05500","snapshot_observed_at":"2026-08-14T14:15:51.895828Z","title":"Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management","venue":"cs.IT","work_id":"dc17bfa8-48ed-4e68-a789-b71147329bfb","year":2018},"citing_paper":{"arxiv_id":"1908.03478","last_updated":"2019-08-09T14:41:59Z","snapshot_observed_at":"2026-08-16T15:45:09.079363Z","submitted_at":"2019-08-09T14:41:59Z","title":"A Preliminary Study on A Physical Model Oriented Learning Algorithm with Application to UAVs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:15:51.803835Z"},"links":{"cited_paper":"/paper/1801.05500","citing_paper":"/paper/1908.03478"},"observation_digest":"sha256:7607088af7ab5d4ac9ca5c5857ff36a838471145d26101c66292a697218e52ba","observation_id":"63400b38-dec7-48dd-aab5-127dcb4db3cc","resolution":{"observed_at":"2026-08-14T14:15:51.903363Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1801.05500/citation-record","integrity":"/paper/1801.05500/integrity","json":"/paper/1801.05500/citation-record.json","paper":"/paper/1801.05500"},"outbound":[],"paper":{"arxiv_id":"1801.05500","last_updated":"2018-01-16T22:35:55Z","latest_version":1,"primary_category":"cs.IT","snapshot_observed_at":"2026-08-14T19:54:33.237347Z","submitted_at":"2018-01-16T22:35:55Z","title":"Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1801.05500."}