{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:RBC7NNPQXXJCPMBMSRZ73XLOBS","short_pith_number":"pith:RBC7NNPQ","canonical_record":{"source":{"id":"2501.12969","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-01-22T15:51:40Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"cf7a4a867990e04f067e4af38183e532004e59a4d25dd9bf06eb5460c7dbf21e","abstract_canon_sha256":"6b8036b74eff3caae344df7340aa9acfdeae3d5c366f08d871cd745c8bb004cc"},"schema_version":"1.0"},"canonical_sha256":"8845f6b5f0bdd227b02c9473fddd6e0cb5f6a28014a9cf3cdbc6e866f4ae7063","source":{"kind":"arxiv","id":"2501.12969","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.12969","created_at":"2026-07-05T10:28:33Z"},{"alias_kind":"arxiv_version","alias_value":"2501.12969v2","created_at":"2026-07-05T10:28:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.12969","created_at":"2026-07-05T10:28:33Z"},{"alias_kind":"pith_short_12","alias_value":"RBC7NNPQXXJC","created_at":"2026-07-05T10:28:33Z"},{"alias_kind":"pith_short_16","alias_value":"RBC7NNPQXXJCPMBM","created_at":"2026-07-05T10:28:33Z"},{"alias_kind":"pith_short_8","alias_value":"RBC7NNPQ","created_at":"2026-07-05T10:28:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:RBC7NNPQXXJCPMBMSRZ73XLOBS","target":"record","payload":{"canonical_record":{"source":{"id":"2501.12969","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-01-22T15:51:40Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"cf7a4a867990e04f067e4af38183e532004e59a4d25dd9bf06eb5460c7dbf21e","abstract_canon_sha256":"6b8036b74eff3caae344df7340aa9acfdeae3d5c366f08d871cd745c8bb004cc"},"schema_version":"1.0"},"canonical_sha256":"8845f6b5f0bdd227b02c9473fddd6e0cb5f6a28014a9cf3cdbc6e866f4ae7063","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:28:33.380855Z","signature_b64":"UgZfHoMDt8FceXU6XMoNiSDLqjWl4TZXg6tSaaHCDTEblhxBByU/hR92SLUXuWSor/Nt3zBSSV1vd/xPIEodAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8845f6b5f0bdd227b02c9473fddd6e0cb5f6a28014a9cf3cdbc6e866f4ae7063","last_reissued_at":"2026-07-05T10:28:33.379705Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:28:33.379705Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.12969","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:28:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cH0tPGts2Oylm5k3MAbdpR1C6NfYi2RnzJSYBgvvNsZR56yR2gzTBjcbRrCOi5jAuf9seiWDV0SiBW0BRjd7Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T19:33:22.276669Z"},"content_sha256":"83b55040b20e59426f7b65f406a3cd5434003c86af7127f057604e65f2e3ff96","schema_version":"1.0","event_id":"sha256:83b55040b20e59426f7b65f406a3cd5434003c86af7127f057604e65f2e3ff96"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:RBC7NNPQXXJCPMBMSRZ73XLOBS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Lipschitz Safe Bayesian Optimization for Automotive Control","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Johanna Menn, Michael Fleps-Dezasse, Pietro Pelizzari, Sebastian Trimpe","submitted_at":"2025-01-22T15:51:40Z","abstract_excerpt":"Controller tuning is a labor-intensive process that requires human intervention and expert knowledge. Bayesian optimization has been applied successfully in different fields to automate this process. However, when tuning on hardware, such as in automotive applications, strict safety requirements often arise. To obtain safety guarantees, many existing safe Bayesian optimization methods rely on assumptions that are hard to verify in practice. This leads to the use of unjustified heuristics in many applications, which invalidates the theoretical safety guarantees. Furthermore, applications often "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.12969","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/2501.12969/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:28:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tmG6gI8lGjF4umUBKLNJJxVuC11Pd97zIVD4e2bbf35Q8aFNO+JXuMLtVlIkg0mjbcg2rZq3BKP4iXrDF9K8Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T19:33:22.277306Z"},"content_sha256":"26dfd0755be9590f6a6f4aa1f94be7221b4c5caa2c6cd86c4a6640bdab66a299","schema_version":"1.0","event_id":"sha256:26dfd0755be9590f6a6f4aa1f94be7221b4c5caa2c6cd86c4a6640bdab66a299"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RBC7NNPQXXJCPMBMSRZ73XLOBS/bundle.json","state_url":"https://pith.science/pith/RBC7NNPQXXJCPMBMSRZ73XLOBS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RBC7NNPQXXJCPMBMSRZ73XLOBS/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-15T19:33:22Z","links":{"resolver":"https://pith.science/pith/RBC7NNPQXXJCPMBMSRZ73XLOBS","bundle":"https://pith.science/pith/RBC7NNPQXXJCPMBMSRZ73XLOBS/bundle.json","state":"https://pith.science/pith/RBC7NNPQXXJCPMBMSRZ73XLOBS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RBC7NNPQXXJCPMBMSRZ73XLOBS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RBC7NNPQXXJCPMBMSRZ73XLOBS","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":"6b8036b74eff3caae344df7340aa9acfdeae3d5c366f08d871cd745c8bb004cc","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-01-22T15:51:40Z","title_canon_sha256":"cf7a4a867990e04f067e4af38183e532004e59a4d25dd9bf06eb5460c7dbf21e"},"schema_version":"1.0","source":{"id":"2501.12969","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.12969","created_at":"2026-07-05T10:28:33Z"},{"alias_kind":"arxiv_version","alias_value":"2501.12969v2","created_at":"2026-07-05T10:28:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.12969","created_at":"2026-07-05T10:28:33Z"},{"alias_kind":"pith_short_12","alias_value":"RBC7NNPQXXJC","created_at":"2026-07-05T10:28:33Z"},{"alias_kind":"pith_short_16","alias_value":"RBC7NNPQXXJCPMBM","created_at":"2026-07-05T10:28:33Z"},{"alias_kind":"pith_short_8","alias_value":"RBC7NNPQ","created_at":"2026-07-05T10:28:33Z"}],"graph_snapshots":[{"event_id":"sha256:26dfd0755be9590f6a6f4aa1f94be7221b4c5caa2c6cd86c4a6640bdab66a299","target":"graph","created_at":"2026-07-05T10:28:33Z","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/2501.12969/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Controller tuning is a labor-intensive process that requires human intervention and expert knowledge. Bayesian optimization has been applied successfully in different fields to automate this process. However, when tuning on hardware, such as in automotive applications, strict safety requirements often arise. To obtain safety guarantees, many existing safe Bayesian optimization methods rely on assumptions that are hard to verify in practice. This leads to the use of unjustified heuristics in many applications, which invalidates the theoretical safety guarantees. Furthermore, applications often ","authors_text":"Johanna Menn, Michael Fleps-Dezasse, Pietro Pelizzari, Sebastian Trimpe","cross_cats":["cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-01-22T15:51:40Z","title":"Lipschitz Safe Bayesian Optimization for Automotive Control"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.12969","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":"sha256:83b55040b20e59426f7b65f406a3cd5434003c86af7127f057604e65f2e3ff96","target":"record","created_at":"2026-07-05T10:28:33Z","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":"6b8036b74eff3caae344df7340aa9acfdeae3d5c366f08d871cd745c8bb004cc","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-01-22T15:51:40Z","title_canon_sha256":"cf7a4a867990e04f067e4af38183e532004e59a4d25dd9bf06eb5460c7dbf21e"},"schema_version":"1.0","source":{"id":"2501.12969","kind":"arxiv","version":2}},"canonical_sha256":"8845f6b5f0bdd227b02c9473fddd6e0cb5f6a28014a9cf3cdbc6e866f4ae7063","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8845f6b5f0bdd227b02c9473fddd6e0cb5f6a28014a9cf3cdbc6e866f4ae7063","first_computed_at":"2026-07-05T10:28:33.379705Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:28:33.379705Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UgZfHoMDt8FceXU6XMoNiSDLqjWl4TZXg6tSaaHCDTEblhxBByU/hR92SLUXuWSor/Nt3zBSSV1vd/xPIEodAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:28:33.380855Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.12969","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:83b55040b20e59426f7b65f406a3cd5434003c86af7127f057604e65f2e3ff96","sha256:26dfd0755be9590f6a6f4aa1f94be7221b4c5caa2c6cd86c4a6640bdab66a299"],"state_sha256":"9b926fea604040c10999faad658ff538e523ec0543df33de201fe43d787ca280"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w1Yn5ZJ1Ec6dLvbCoaN+EA6Gom74hYRKg5BY1i+hW3Yf+yqFYISQnIDWx2eks2/e0McF00vmscBng0WHCg9/Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T19:33:22.284391Z","bundle_sha256":"3d8da0868407ac9ae316e0beb61f84b13970ed0b6669a34dca4dc48b810a8e8a"}}