{"as_of":"2026-08-10T23:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c76362f42e9ed998d8ea5958bc5b6f8731df186ada5bc3b7cac00bfbf9b8160d","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T23:42:23.527095Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-30T13:24:39.993590Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.03947","last_updated":"2024-02-06T12:20:35Z","snapshot_observed_at":"2026-08-10T12:39:33.839028Z","submitted_at":"2024-02-06T12:20:35Z","title":"Reinforcement Learning for Collision-free Flight Exploiting Deep Collision Encoding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03947","snapshot_observed_at":"2026-08-08T23:42:23.527095Z","title":"Reinforcement learning for collision- free flight exploiting deep collision encoding,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04101","last_updated":"2025-02-06T14:24:06Z","snapshot_observed_at":"2026-08-09T06:53:13.078670Z","submitted_at":"2025-02-06T14:24:06Z","title":"Safe Quadrotor Navigation using Composite Control Barrier Functions","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T23:42:23.527095Z"},"links":{"cited_paper":"/paper/2402.03947","citing_paper":"/paper/2502.04101"},"observation_digest":"sha256:17ff611d6f01e8017c3f3c78530eea60661c6e0bfc5375de5e7ab67152eed2a3","observation_id":"0aa67fbb-b4f3-4cc7-be7e-3ce77761be46","resolution":{"observed_at":"2026-08-08T23:42:23.527095Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03947","last_updated":"2024-02-06T12:20:35Z","snapshot_observed_at":"2026-08-10T12:39:33.839028Z","submitted_at":"2024-02-06T12:20:35Z","title":"Reinforcement Learning for Collision-free Flight Exploiting Deep Collision Encoding","version":1},"cited_work":{"arxiv_id":"2402.03947","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.03947","snapshot_observed_at":"2026-06-30T13:24:39.993590Z","title":"Reinforcement learning for collision-free flight exploiting deep collision encoding.arXiv preprint arXiv:2402.03947, 2024","venue":null,"work_id":"f8361854-d702-4e60-b6c3-0b9cfd5e8975","year":2024},"citing_paper":{"arxiv_id":"2605.24449","last_updated":"2026-05-23T07:41:13Z","snapshot_observed_at":"2026-07-06T23:34:33.493637Z","submitted_at":"2026-05-23T07:41:13Z","title":"Vision-Guided Outdoor Flight and Obstacle Evasion via Reinforcement Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:06.635434Z"},"links":{"cited_paper":"/paper/2402.03947","citing_paper":"/paper/2605.24449"},"observation_digest":"sha256:49c5ebd529c7c5b96a5054d26ab0182efac92c2f25abaabfc7e7a9d715276543","observation_id":"2f1f39c5-ee4d-46bb-b514-d926ba3b00e2","resolution":{"observed_at":"2026-06-30T13:24:39.995139Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.03947/citation-record","integrity":"/paper/2402.03947/integrity","json":"/paper/2402.03947/citation-record.json","paper":"/paper/2402.03947"},"outbound":[],"paper":{"arxiv_id":"2402.03947","last_updated":"2024-02-06T12:20:35Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-10T12:39:33.839028Z","submitted_at":"2024-02-06T12:20:35Z","title":"Reinforcement Learning for Collision-free Flight Exploiting Deep Collision Encoding"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.03947."}