{"as_of":"2026-08-11T08:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:36c9dad2eb6fc56bec99872477344eb27a25a24a023e31e55f19a32c3bdbe149","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:50:27.583245Z","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":"2026-05-11T21:21:11.459058Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.03830","last_updated":"2025-05-04T04:46:16Z","snapshot_observed_at":"2026-08-10T04:20:44.792306Z","submitted_at":"2025-05-04T04:46:16Z","title":"Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.03830","snapshot_observed_at":"2026-08-06T21:50:27.583245Z","title":"Bridging model predictive control and deep learning for scalable reachability analysis","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.23346","last_updated":"2025-06-29T17:41:37Z","snapshot_observed_at":"2026-08-10T04:21:18.653243Z","submitted_at":"2025-06-29T17:41:37Z","title":"Safe and Performant Deployment of Autonomous Systems via Model Predictive Control and Hamilton-Jacobi Reachability Analysis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:50:27.583245Z"},"links":{"cited_paper":"/paper/2505.03830","citing_paper":"/paper/2506.23346"},"observation_digest":"sha256:dbcbeb15b3e6ae836bbe3a2b5f7c7c82aacc48531bd0580e41ce59f054d17229","observation_id":"943f4fbe-c82b-44b7-898e-166a1b1cf569","resolution":{"observed_at":"2026-08-06T21:50:27.583245Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.03830","last_updated":"2025-05-04T04:46:16Z","snapshot_observed_at":"2026-08-10T04:20:44.792306Z","submitted_at":"2025-05-04T04:46:16Z","title":"Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.03830","snapshot_observed_at":"2026-08-03T23:58:35.234717Z","title":"Bridging model predictive control and deep learning for scalable reachability analysis,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.03591","last_updated":"2026-07-01T04:58:59Z","snapshot_observed_at":"2026-08-11T00:49:30.151689Z","submitted_at":"2025-11-05T16:11:12Z","title":"Manifold-constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T23:58:35.234717Z"},"links":{"cited_paper":"/paper/2505.03830","citing_paper":"/paper/2511.03591"},"observation_digest":"sha256:2141fe7b1aaf84cf6148966d562024cbff3d5b3d5079868ebad00e30d7e1f5d7","observation_id":"9a08ad40-fb74-4cf4-beea-b6a17cd14b2c","resolution":{"observed_at":"2026-08-03T23:58:35.234717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.03830","last_updated":"2025-05-04T04:46:16Z","snapshot_observed_at":"2026-08-10T04:20:44.792306Z","submitted_at":"2025-05-04T04:46:16Z","title":"Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis","version":1},"cited_work":{"arxiv_id":"2505.03830","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.03830","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bridging model predictive control and deep learning for scalable reachability analysis","venue":null,"work_id":"5f0a2ad0-af0d-4674-a776-6a59191a20dd","year":2025},"citing_paper":{"arxiv_id":"2604.23863","last_updated":"2026-04-26T20:10:03Z","snapshot_observed_at":"2026-08-10T21:58:58.177973Z","submitted_at":"2026-04-26T20:10:03Z","title":"Cooptimizing Safety and Performance Using Safety Value-Constrained Model Predictive Control","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-08T05:52:11.090003Z"},"links":{"cited_paper":"/paper/2505.03830","citing_paper":"/paper/2604.23863"},"observation_digest":"sha256:5d40b7f385842a8107b1438b1c2544e75f9460125a1c0ea530281f0163741dc3","observation_id":"5e150223-96e2-4dd1-be12-ed04c3015563","resolution":{"observed_at":"2026-05-11T21:21:11.465620Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.03830/citation-record","integrity":"/paper/2505.03830/integrity","json":"/paper/2505.03830/citation-record.json","paper":"/paper/2505.03830"},"outbound":[],"paper":{"arxiv_id":"2505.03830","last_updated":"2025-05-04T04:46:16Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-10T04:20:44.792306Z","submitted_at":"2025-05-04T04:46:16Z","title":"Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.03830."}