{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FS3BDS3PMBQBPVEMIKCLT7QGAE","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"daaacbd3bba8d765933c41d8fba31516e00dcefc3bd1d63564cb2b772ac8d32f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2024-03-18T21:55:25Z","title_canon_sha256":"64180e5149470fca8114c912af6e0e2e5a64b8580049686f7c05124c8e17f7d6"},"schema_version":"1.0","source":{"id":"2403.12280","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.12280","created_at":"2026-07-05T07:57:58Z"},{"alias_kind":"arxiv_version","alias_value":"2403.12280v1","created_at":"2026-07-05T07:57:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.12280","created_at":"2026-07-05T07:57:58Z"},{"alias_kind":"pith_short_12","alias_value":"FS3BDS3PMBQB","created_at":"2026-07-05T07:57:58Z"},{"alias_kind":"pith_short_16","alias_value":"FS3BDS3PMBQBPVEM","created_at":"2026-07-05T07:57:58Z"},{"alias_kind":"pith_short_8","alias_value":"FS3BDS3P","created_at":"2026-07-05T07:57:58Z"}],"graph_snapshots":[{"event_id":"sha256:4480db12322deaecb95b1f9464aec4d5662d4954e5e9d321cefc60e8e074bdfc","target":"graph","created_at":"2026-07-05T07:57:58Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2403.12280/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generating receding-horizon motion trajectories for autonomous vehicles in real-time while also providing safety guarantees is challenging. This is because a future trajectory needs to be planned before the previously computed trajectory is completely executed. This becomes even more difficult if the trajectory is required to satisfy continuous-time collision-avoidance constraints while accounting for a large number of obstacles. To address these challenges, this paper proposes a novel real-time, receding-horizon motion planning algorithm named REachability-based trajectory Design via Exact Fo","authors_text":"Challen Enninful Adu, Jinsun Liu, Jonathan Michaux, Qingyi Chen, Ram Vasudevan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2024-03-18T21:55:25Z","title":"Reachability-based Trajectory Design via Exact Formulation of Implicit Neural Signed Distance Functions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.12280","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b08f59df54452c3bcef3ed1459f6d899be3628a61405830056ab24595692153a","target":"record","created_at":"2026-07-05T07:57:58Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"daaacbd3bba8d765933c41d8fba31516e00dcefc3bd1d63564cb2b772ac8d32f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2024-03-18T21:55:25Z","title_canon_sha256":"64180e5149470fca8114c912af6e0e2e5a64b8580049686f7c05124c8e17f7d6"},"schema_version":"1.0","source":{"id":"2403.12280","kind":"arxiv","version":1}},"canonical_sha256":"2cb611cb6f606017d48c4284b9fe060137315a7fa7a7fca60c5727dca08252ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2cb611cb6f606017d48c4284b9fe060137315a7fa7a7fca60c5727dca08252ae","first_computed_at":"2026-07-05T07:57:58.233486Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:57:58.233486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ayFqrY17pBjqqnjp/hcQ9vTC85E5ZIdFkw7XL3IhH5DY44diOKSAJAk0PDp9giTBa2nWu5Bj9OrdzqVPJ3HiCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:57:58.233974Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.12280","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b08f59df54452c3bcef3ed1459f6d899be3628a61405830056ab24595692153a","sha256:4480db12322deaecb95b1f9464aec4d5662d4954e5e9d321cefc60e8e074bdfc"],"state_sha256":"81e38fce5d8636ed7f4831c12802fd58b7b9a2ed2abfebe315a2ec6f8ba0b5b1"}