{"as_of":"2026-08-07T17:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7ec048153abb1c1dec9f41e3c66f0c424e7391781d61ddfdedf4967120f13b13","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T11:42:10.405394Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.09053","last_updated":"2023-12-13T09:46:25Z","snapshot_observed_at":"2026-07-06T16:32:27.303662Z","submitted_at":"2023-10-13T12:22:31Z","title":"DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.09053","snapshot_observed_at":"2026-08-02T11:42:10.405394Z","title":"Huang, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.13842","last_updated":"2026-07-24T14:43:18Z","snapshot_observed_at":"2026-08-06T20:36:06.414544Z","submitted_at":"2026-06-11T19:16:02Z","title":"Efficient Domain-Adaptive Policy Learning via Kernel Representation with Application to Quadrotor Control under Non-Stationary Disturbances","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T11:42:10.405394Z"},"links":{"cited_paper":"/paper/2310.09053","citing_paper":"/paper/2606.13842"},"observation_digest":"sha256:fee1237b7b7ffeb016a0a3a9cc8fc33b314a55a34c9abbb4537f68ce1443a44f","observation_id":"f2a1b5e6-3190-41f2-bb52-508d9001abe4","resolution":{"observed_at":"2026-08-02T11:42:10.405394Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.09053","last_updated":"2023-12-13T09:46:25Z","snapshot_observed_at":"2026-07-06T16:32:27.303662Z","submitted_at":"2023-10-13T12:22:31Z","title":"DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.09053","snapshot_observed_at":"2026-07-12T07:12:29.437084Z","title":"Huang, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02764","last_updated":"2026-07-29T21:52:37Z","snapshot_observed_at":"2026-08-07T08:57:26.131298Z","submitted_at":"2026-07-02T21:01:26Z","title":"MorphQuad: Morphable Quadrotor for Superhuman Maneuverability, Manipulation, and Resiliency","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-07-12T07:12:29.437084Z"},"links":{"cited_paper":"/paper/2310.09053","citing_paper":"/paper/2607.02764"},"observation_digest":"sha256:2ac4116787cd6430cc4d37a17c20c6e74591390cc67bfccd70c65224c65b81ba","observation_id":"6e90ecb7-75ea-4e92-9edb-3f0c0d73bf55","resolution":{"observed_at":"2026-07-12T07:12:29.437084Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.09053","last_updated":"2023-12-13T09:46:25Z","snapshot_observed_at":"2026-07-06T16:32:27.303662Z","submitted_at":"2023-10-13T12:22:31Z","title":"DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.09053","snapshot_observed_at":"2026-08-02T09:03:41.048576Z","title":"Huang, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02764","last_updated":"2026-07-29T21:52:37Z","snapshot_observed_at":"2026-08-07T08:57:26.131298Z","submitted_at":"2026-07-02T21:01:26Z","title":"MorphQuad: Morphable Quadrotor for Superhuman Maneuverability, Manipulation, and Resiliency","version":4},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-02T09:03:41.048576Z"},"links":{"cited_paper":"/paper/2310.09053","citing_paper":"/paper/2607.02764"},"observation_digest":"sha256:15b83ea47705394103eb078c3baa66949bf1a75f4ccda0e05a4cc60f320e8022","observation_id":"12a2723f-d0f1-4141-9d19-e46f86ee8358","resolution":{"observed_at":"2026-08-02T09:03:41.048576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.09053","last_updated":"2023-12-13T09:46:25Z","snapshot_observed_at":"2026-07-06T16:32:27.303662Z","submitted_at":"2023-10-13T12:22:31Z","title":"DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.09053","snapshot_observed_at":"2026-08-02T05:33:57.840148Z","title":"Huang, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.13319","last_updated":"2026-07-14T22:59:40Z","snapshot_observed_at":"2026-08-04T14:35:13.825891Z","submitted_at":"2026-07-14T22:59:40Z","title":"Adapting Generalist Vehicle Models for High-Speed MPC Across Terrains","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T05:33:57.840148Z"},"links":{"cited_paper":"/paper/2310.09053","citing_paper":"/paper/2607.13319"},"observation_digest":"sha256:9e452fee27bd90001b644a2dd2102c7c9fd30b5c260824a789f95c139bbb13b4","observation_id":"b96dbdf5-0c4c-4e09-b53a-c12732a58ced","resolution":{"observed_at":"2026-08-02T05:33:57.840148Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.09053/citation-record","integrity":"/paper/2310.09053/integrity","json":"/paper/2310.09053/citation-record.json","paper":"/paper/2310.09053"},"outbound":[],"paper":{"arxiv_id":"2310.09053","last_updated":"2023-12-13T09:46:25Z","latest_version":3,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-06T16:32:27.303662Z","submitted_at":"2023-10-13T12:22:31Z","title":"DATT: Deep Adaptive Trajectory Tracking for Quadrotor 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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.09053."}