{"as_of":"2026-08-12T13:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f41bbb7d071451527333c88ccf132a8c1fd138f4f3d3cdb018cfb12d9ad096a2","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":"2026-08-12T06:34:41.77262+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":"2026-08-11T12:42:29.093723Z","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":"2026-08-11T12:42:29.807900Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.03915","last_updated":"2021-11-06T16:35:13Z","snapshot_observed_at":"2026-08-12T09:13:37.692054Z","submitted_at":"2021-11-06T16:35:13Z","title":"Robust Deep Reinforcement Learning for Quadcopter Control","version":1},"cited_work":{"arxiv_id":"2111.03915","doi":null,"metadata_source":"pith","pith_arxiv_id":"2111.03915","snapshot_observed_at":"2026-08-11T12:42:29.807900Z","title":"Robust Deep Reinforcement Learning for Quadcopter Control","venue":"cs.RO","work_id":"1f59847a-259b-4615-ad65-b109292916a3","year":2021},"citing_paper":{"arxiv_id":"2412.14003","last_updated":"2025-03-24T14:09:58Z","snapshot_observed_at":"2026-08-12T09:43:45.617063Z","submitted_at":"2024-12-18T16:18:23Z","title":"Robust Optimal Safe and Stability Guaranteeing Reinforcement Learning Control for Quadcopter","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T12:42:29.093723Z"},"links":{"cited_paper":"/paper/2111.03915","citing_paper":"/paper/2412.14003"},"observation_digest":"sha256:1d85f41f88f6b4f20a57b663fc442d4dbfe36f4bde8ab6122e4185463acfd41b","observation_id":"0f7d4881-62be-4072-aa71-f8f3d6dc9a93","resolution":{"observed_at":"2026-08-11T12:42:29.813161Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2111.03915/citation-record","integrity":"/paper/2111.03915/integrity","json":"/paper/2111.03915/citation-record.json","paper":"/paper/2111.03915"},"outbound":[],"paper":{"arxiv_id":"2111.03915","last_updated":"2021-11-06T16:35:13Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-12T09:13:37.692054Z","submitted_at":"2021-11-06T16:35:13Z","title":"Robust Deep Reinforcement Learning for Quadcopter Control"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2111.03915."}