{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:7CHNXZS7HLZA5JH44PZP5MXUBF","short_pith_number":"pith:7CHNXZS7","schema_version":"1.0","canonical_sha256":"f88edbe65f3af20ea4fce3f2feb2f40977e1306ec09737072505fa325dcaf12f","source":{"kind":"arxiv","id":"2405.01064","version":1},"attestation_state":"computed","paper":{"title":"A Roadmap for Simulation-Based Testing of Autonomous Cyber-Physical Systems: Challenges and Future Direction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Christian Birchler, Pooja Rani, Sajad Khatiri, Sebastiano Panichella, Timo Kehrer","submitted_at":"2024-05-02T07:42:33Z","abstract_excerpt":"As the era of autonomous cyber-physical systems (ACPSs), such as unmanned aerial vehicles and self-driving cars, unfolds, the demand for robust testing methodologies is key to realizing the adoption of such systems in real-world scenarios. However, traditional software testing paradigms face unprecedented challenges in ensuring the safety and reliability of these systems. In response, this paper pioneers a strategic roadmap for simulation-based testing of ACPSs, specifically focusing on autonomous systems. Our paper discusses the relevant challenges and obstacles of ACPSs, focusing on test aut"},"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":"2405.01064","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-05-02T07:42:33Z","cross_cats_sorted":[],"title_canon_sha256":"d9c51ef11aa05f9edc91ed39b6ad1230818102313080a76768b34c3d47dd3424","abstract_canon_sha256":"1292d252834a992d176152796f1110d5f50c44cdd860b1ffb557ea6700ed18d6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:14:30.056966Z","signature_b64":"fYDyqUN8mHwDuq+iNnuCScJTbnyvt+/xnTBUI/kExugDJcmFZl+nTZ1iINd3VI4ZfGgAWF41bQ3t7LiwPfgEDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f88edbe65f3af20ea4fce3f2feb2f40977e1306ec09737072505fa325dcaf12f","last_reissued_at":"2026-07-05T08:14:30.056462Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:14:30.056462Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Roadmap for Simulation-Based Testing of Autonomous Cyber-Physical Systems: Challenges and Future Direction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Christian Birchler, Pooja Rani, Sajad Khatiri, Sebastiano Panichella, Timo Kehrer","submitted_at":"2024-05-02T07:42:33Z","abstract_excerpt":"As the era of autonomous cyber-physical systems (ACPSs), such as unmanned aerial vehicles and self-driving cars, unfolds, the demand for robust testing methodologies is key to realizing the adoption of such systems in real-world scenarios. However, traditional software testing paradigms face unprecedented challenges in ensuring the safety and reliability of these systems. In response, this paper pioneers a strategic roadmap for simulation-based testing of ACPSs, specifically focusing on autonomous systems. Our paper discusses the relevant challenges and obstacles of ACPSs, focusing on test aut"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.01064","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/2405.01064/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":"2405.01064","created_at":"2026-07-05T08:14:30.056528+00:00"},{"alias_kind":"arxiv_version","alias_value":"2405.01064v1","created_at":"2026-07-05T08:14:30.056528+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.01064","created_at":"2026-07-05T08:14:30.056528+00:00"},{"alias_kind":"pith_short_12","alias_value":"7CHNXZS7HLZA","created_at":"2026-07-05T08:14:30.056528+00:00"},{"alias_kind":"pith_short_16","alias_value":"7CHNXZS7HLZA5JH4","created_at":"2026-07-05T08:14:30.056528+00:00"},{"alias_kind":"pith_short_8","alias_value":"7CHNXZS7","created_at":"2026-07-05T08:14:30.056528+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2412.03843","citing_title":"Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems","ref_index":17,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7CHNXZS7HLZA5JH44PZP5MXUBF","json":"https://pith.science/pith/7CHNXZS7HLZA5JH44PZP5MXUBF.json","graph_json":"https://pith.science/api/pith-number/7CHNXZS7HLZA5JH44PZP5MXUBF/graph.json","events_json":"https://pith.science/api/pith-number/7CHNXZS7HLZA5JH44PZP5MXUBF/events.json","paper":"https://pith.science/paper/7CHNXZS7"},"agent_actions":{"view_html":"https://pith.science/pith/7CHNXZS7HLZA5JH44PZP5MXUBF","download_json":"https://pith.science/pith/7CHNXZS7HLZA5JH44PZP5MXUBF.json","view_paper":"https://pith.science/paper/7CHNXZS7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2405.01064&json=true","fetch_graph":"https://pith.science/api/pith-number/7CHNXZS7HLZA5JH44PZP5MXUBF/graph.json","fetch_events":"https://pith.science/api/pith-number/7CHNXZS7HLZA5JH44PZP5MXUBF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7CHNXZS7HLZA5JH44PZP5MXUBF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7CHNXZS7HLZA5JH44PZP5MXUBF/action/storage_attestation","attest_author":"https://pith.science/pith/7CHNXZS7HLZA5JH44PZP5MXUBF/action/author_attestation","sign_citation":"https://pith.science/pith/7CHNXZS7HLZA5JH44PZP5MXUBF/action/citation_signature","submit_replication":"https://pith.science/pith/7CHNXZS7HLZA5JH44PZP5MXUBF/action/replication_record"}},"created_at":"2026-07-05T08:14:30.056528+00:00","updated_at":"2026-07-05T08:14:30.056528+00:00"}