{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:GFDGTBLFJ3WZWSZMOYQJ7ZL632","short_pith_number":"pith:GFDGTBLF","schema_version":"1.0","canonical_sha256":"31466985654eed9b4b2c76209fe57ede8e47aa4ac116b0e4b174d5466b228045","source":{"kind":"arxiv","id":"2506.13622","version":1},"attestation_state":"computed","paper":{"title":"Disturbance-aware minimum-time planning strategies for motorsport vehicles with probabilistic safety certificates","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Marco Gabiccini, Martino Gulisano, Massimo Guiggiani, Matteo Masoni","submitted_at":"2025-06-16T15:50:17Z","abstract_excerpt":"This paper presents a disturbance-aware framework that embeds robustness into minimum-lap-time trajectory optimization for motorsport. Two formulations are introduced. (i) Open-loop, horizon-based covariance propagation uses worst-case uncertainty growth over a finite window to tighten tire-friction and track-limit constraints. (ii) Closed-loop, covariance-aware planning incorporates a time-varying LQR feedback law in the optimizer, providing a feedback-consistent estimate of disturbance attenuation and enabling sharper yet reliable constraint tightening. Both methods yield reference trajector"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2506.13622","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-16T15:50:17Z","cross_cats_sorted":[],"title_canon_sha256":"af112faf3b3a4397b90bfef9ec73914a092af55df7788df1b8826c8e4bee389c","abstract_canon_sha256":"c448b9c668211f8e1c2bbb99298a2d06a01ce128b7fa26171e0e152bcbbdab7b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:22:23.567512Z","signature_b64":"fSf45UnjDt3Hl5kopfBgX4zHCa51ZvjO4RcFeYoEZiUqnaDokZfBevKNqhBiOwHNOd+4Q/mfR/SWx6SQUbktAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"31466985654eed9b4b2c76209fe57ede8e47aa4ac116b0e4b174d5466b228045","last_reissued_at":"2026-07-05T11:22:23.566984Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:22:23.566984Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Disturbance-aware minimum-time planning strategies for motorsport vehicles with probabilistic safety certificates","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Marco Gabiccini, Martino Gulisano, Massimo Guiggiani, Matteo Masoni","submitted_at":"2025-06-16T15:50:17Z","abstract_excerpt":"This paper presents a disturbance-aware framework that embeds robustness into minimum-lap-time trajectory optimization for motorsport. Two formulations are introduced. (i) Open-loop, horizon-based covariance propagation uses worst-case uncertainty growth over a finite window to tighten tire-friction and track-limit constraints. (ii) Closed-loop, covariance-aware planning incorporates a time-varying LQR feedback law in the optimizer, providing a feedback-consistent estimate of disturbance attenuation and enabling sharper yet reliable constraint tightening. Both methods yield reference trajector"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13622","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2506.13622/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2506.13622","created_at":"2026-07-05T11:22:23.567047+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.13622v1","created_at":"2026-07-05T11:22:23.567047+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13622","created_at":"2026-07-05T11:22:23.567047+00:00"},{"alias_kind":"pith_short_12","alias_value":"GFDGTBLFJ3WZ","created_at":"2026-07-05T11:22:23.567047+00:00"},{"alias_kind":"pith_short_16","alias_value":"GFDGTBLFJ3WZWSZM","created_at":"2026-07-05T11:22:23.567047+00:00"},{"alias_kind":"pith_short_8","alias_value":"GFDGTBLF","created_at":"2026-07-05T11:22:23.567047+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GFDGTBLFJ3WZWSZMOYQJ7ZL632","json":"https://pith.science/pith/GFDGTBLFJ3WZWSZMOYQJ7ZL632.json","graph_json":"https://pith.science/api/pith-number/GFDGTBLFJ3WZWSZMOYQJ7ZL632/graph.json","events_json":"https://pith.science/api/pith-number/GFDGTBLFJ3WZWSZMOYQJ7ZL632/events.json","paper":"https://pith.science/paper/GFDGTBLF"},"agent_actions":{"view_html":"https://pith.science/pith/GFDGTBLFJ3WZWSZMOYQJ7ZL632","download_json":"https://pith.science/pith/GFDGTBLFJ3WZWSZMOYQJ7ZL632.json","view_paper":"https://pith.science/paper/GFDGTBLF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.13622&json=true","fetch_graph":"https://pith.science/api/pith-number/GFDGTBLFJ3WZWSZMOYQJ7ZL632/graph.json","fetch_events":"https://pith.science/api/pith-number/GFDGTBLFJ3WZWSZMOYQJ7ZL632/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GFDGTBLFJ3WZWSZMOYQJ7ZL632/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GFDGTBLFJ3WZWSZMOYQJ7ZL632/action/storage_attestation","attest_author":"https://pith.science/pith/GFDGTBLFJ3WZWSZMOYQJ7ZL632/action/author_attestation","sign_citation":"https://pith.science/pith/GFDGTBLFJ3WZWSZMOYQJ7ZL632/action/citation_signature","submit_replication":"https://pith.science/pith/GFDGTBLFJ3WZWSZMOYQJ7ZL632/action/replication_record"}},"created_at":"2026-07-05T11:22:23.567047+00:00","updated_at":"2026-07-05T11:22:23.567047+00:00"}