{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:5DNQCFBUKA25AZYRGUAAONLLXG","short_pith_number":"pith:5DNQCFBU","schema_version":"1.0","canonical_sha256":"e8db0114345035d06711350007356bb9bcb2185a429d32498fd9ff81fc9aa4c4","source":{"kind":"arxiv","id":"2403.11784","version":2},"attestation_state":"computed","paper":{"title":"ForzaETH Race Stack -- Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SE","cs.SY","eess.SY"],"primary_cat":"cs.RO","authors_text":"Andrea Carron, Christian Vogt, Edoardo Ghignone, Jonas K\\\"uhne, Jonathan Becker, Luca Schwarzenbach, Luca Tognoni, Michael L\\\"otscher, Michele Magno, Nadine Imholz, Nicolas Baumann, Niklas Bastuck, Tian Yi Lim, Tobias Kr\\\"anzlin","submitted_at":"2024-03-18T13:42:06Z","abstract_excerpt":"Autonomous racing in robotics combines high-speed dynamics with the necessity for reliability and real-time decision-making. While such racing pushes software and hardware to their limits, many existing full-system solutions necessitate complex, custom hardware and software, and usually focus on Time-Trials rather than full unrestricted Head-to-Head racing, due to financial and safety constraints. This limits their reproducibility, making advancements and replication feasible mostly for well-resourced laboratories with comprehensive expertise in mechanical, electrical, and robotics fields. Res"},"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":"2403.11784","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-03-18T13:42:06Z","cross_cats_sorted":["cs.SE","cs.SY","eess.SY"],"title_canon_sha256":"df9385ec206d8ee35f9975a0e16b24e0f7330fc51b65392743d56278cb435851","abstract_canon_sha256":"4d77d68322c7687db5d1f079bad69d619f713fc333bde355f2a20e727a260ff8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:09:42.891853Z","signature_b64":"CZDO2+TSgSSjmejEjqp9DU9MapVVhOWAV2pYcmaY2eluCCBBK5cre/sOdOKYVTvcjLSUiKA/b0hfuc+95pu+Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e8db0114345035d06711350007356bb9bcb2185a429d32498fd9ff81fc9aa4c4","last_reissued_at":"2026-07-05T10:09:42.891371Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:09:42.891371Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ForzaETH Race Stack -- Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SE","cs.SY","eess.SY"],"primary_cat":"cs.RO","authors_text":"Andrea Carron, Christian Vogt, Edoardo Ghignone, Jonas K\\\"uhne, Jonathan Becker, Luca Schwarzenbach, Luca Tognoni, Michael L\\\"otscher, Michele Magno, Nadine Imholz, Nicolas Baumann, Niklas Bastuck, Tian Yi Lim, Tobias Kr\\\"anzlin","submitted_at":"2024-03-18T13:42:06Z","abstract_excerpt":"Autonomous racing in robotics combines high-speed dynamics with the necessity for reliability and real-time decision-making. While such racing pushes software and hardware to their limits, many existing full-system solutions necessitate complex, custom hardware and software, and usually focus on Time-Trials rather than full unrestricted Head-to-Head racing, due to financial and safety constraints. This limits their reproducibility, making advancements and replication feasible mostly for well-resourced laboratories with comprehensive expertise in mechanical, electrical, and robotics fields. Res"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.11784","kind":"arxiv","version":2},"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/2403.11784/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":"2403.11784","created_at":"2026-07-05T10:09:42.891430+00:00"},{"alias_kind":"arxiv_version","alias_value":"2403.11784v2","created_at":"2026-07-05T10:09:42.891430+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.11784","created_at":"2026-07-05T10:09:42.891430+00:00"},{"alias_kind":"pith_short_12","alias_value":"5DNQCFBUKA25","created_at":"2026-07-05T10:09:42.891430+00:00"},{"alias_kind":"pith_short_16","alias_value":"5DNQCFBUKA25AZYR","created_at":"2026-07-05T10:09:42.891430+00:00"},{"alias_kind":"pith_short_8","alias_value":"5DNQCFBU","created_at":"2026-07-05T10:09:42.891430+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2411.17508","citing_title":"Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute","ref_index":1,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5DNQCFBUKA25AZYRGUAAONLLXG","json":"https://pith.science/pith/5DNQCFBUKA25AZYRGUAAONLLXG.json","graph_json":"https://pith.science/api/pith-number/5DNQCFBUKA25AZYRGUAAONLLXG/graph.json","events_json":"https://pith.science/api/pith-number/5DNQCFBUKA25AZYRGUAAONLLXG/events.json","paper":"https://pith.science/paper/5DNQCFBU"},"agent_actions":{"view_html":"https://pith.science/pith/5DNQCFBUKA25AZYRGUAAONLLXG","download_json":"https://pith.science/pith/5DNQCFBUKA25AZYRGUAAONLLXG.json","view_paper":"https://pith.science/paper/5DNQCFBU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2403.11784&json=true","fetch_graph":"https://pith.science/api/pith-number/5DNQCFBUKA25AZYRGUAAONLLXG/graph.json","fetch_events":"https://pith.science/api/pith-number/5DNQCFBUKA25AZYRGUAAONLLXG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5DNQCFBUKA25AZYRGUAAONLLXG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5DNQCFBUKA25AZYRGUAAONLLXG/action/storage_attestation","attest_author":"https://pith.science/pith/5DNQCFBUKA25AZYRGUAAONLLXG/action/author_attestation","sign_citation":"https://pith.science/pith/5DNQCFBUKA25AZYRGUAAONLLXG/action/citation_signature","submit_replication":"https://pith.science/pith/5DNQCFBUKA25AZYRGUAAONLLXG/action/replication_record"}},"created_at":"2026-07-05T10:09:42.891430+00:00","updated_at":"2026-07-05T10:09:42.891430+00:00"}