{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:F2SPUFQPI4527HCV2B6HKCWKLT","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":"4afa5fb235aa85275f9cdb525ef0eeaf42b9ec88150e715bb441e68dce3ff205","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-08T05:51:17Z","title_canon_sha256":"b2d996d88d12daf6142e61d6ce1a373f7d6ad789f7ddfff83b205bfa61a302b4"},"schema_version":"1.0","source":{"id":"2503.06075","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.06075","created_at":"2026-07-05T11:54:45Z"},{"alias_kind":"arxiv_version","alias_value":"2503.06075v2","created_at":"2026-07-05T11:54:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.06075","created_at":"2026-07-05T11:54:45Z"},{"alias_kind":"pith_short_12","alias_value":"F2SPUFQPI452","created_at":"2026-07-05T11:54:45Z"},{"alias_kind":"pith_short_16","alias_value":"F2SPUFQPI4527HCV","created_at":"2026-07-05T11:54:45Z"},{"alias_kind":"pith_short_8","alias_value":"F2SPUFQP","created_at":"2026-07-05T11:54:45Z"}],"graph_snapshots":[{"event_id":"sha256:50b2ea2260b281fe1421bf550f4a10af6f8845d17d55cd7374205759db4b120a","target":"graph","created_at":"2026-07-05T11:54:45Z","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/2503.06075/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generating overtaking trajectories in autonomous racing is a challenging task, as the trajectory must satisfy the vehicle's dynamics and ensure safety and real-time performance running on resource-constrained hardware. This work proposes the Fast and Safe Data-Driven Planner to address this challenge. Sparse Gaussian predictions are introduced to improve both the computational efficiency and accuracy of opponent predictions. Furthermore, the proposed approach employs a bi-level quadratic programming framework to generate an overtaking trajectory leveraging the opponent predictions. The first l","authors_text":"Cheng Hu, Haotong Qin, Jihao Huang, Lei Xie, Michele Magno, Nicolas Baumann, Wule Mao, Xuemin Chi, Yonghao Fu, Zhitao Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-08T05:51:17Z","title":"FSDP: Fast and Safe Data-Driven Overtaking Trajectory Planning for Head-to-Head Autonomous Racing Competitions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.06075","kind":"arxiv","version":2},"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:eadc9b355da6ba7b0548a679af677bdab322f697334e3f174a398ae5f1032151","target":"record","created_at":"2026-07-05T11:54:45Z","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":"4afa5fb235aa85275f9cdb525ef0eeaf42b9ec88150e715bb441e68dce3ff205","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-08T05:51:17Z","title_canon_sha256":"b2d996d88d12daf6142e61d6ce1a373f7d6ad789f7ddfff83b205bfa61a302b4"},"schema_version":"1.0","source":{"id":"2503.06075","kind":"arxiv","version":2}},"canonical_sha256":"2ea4fa160f473baf9c55d07c750aca5cce63ae4ff831d9921ae24ede65ddb79e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ea4fa160f473baf9c55d07c750aca5cce63ae4ff831d9921ae24ede65ddb79e","first_computed_at":"2026-07-05T11:54:45.018883Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:54:45.018883Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KcH2nQZsbA4UcdEUMWgKeUsTywbTqQgNLN3A90iyRmgHZHLAYCng8YwRk1v6b0VeUFezBQm7x4fZ3pp8W5CTDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:54:45.019305Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.06075","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eadc9b355da6ba7b0548a679af677bdab322f697334e3f174a398ae5f1032151","sha256:50b2ea2260b281fe1421bf550f4a10af6f8845d17d55cd7374205759db4b120a"],"state_sha256":"a30b1afea5029e4d0ca5cb1826af6dc8df1139a6417300ca01bef7cdfce435a7"}