{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:EUJF73TIVIKYWABIORYHFQJM4Z","short_pith_number":"pith:EUJF73TI","schema_version":"1.0","canonical_sha256":"25125fee68aa158b0028747072c12ce65d9d2dd1ffc6c69b90909ea820254d01","source":{"kind":"arxiv","id":"2310.08565","version":3},"attestation_state":"computed","paper":{"title":"Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Ivan A. Fernandez, Jingdao Chen, Nisha Pillai, Shahram Rahimi, Shaswata Mitra, Subash Neupane, Sudip Mittal, Swayamjit Saha","submitted_at":"2023-10-12T17:54:20Z","abstract_excerpt":"Robotics and Artificial Intelligence (AI) have been inextricably intertwined since their inception. Today, AI-Robotics systems have become an integral part of our daily lives, from robotic vacuum cleaners to semi-autonomous cars. These systems are built upon three fundamental architectural elements: perception, navigation and planning, and control. However, while the integration of AI-Robotics systems has enhanced the quality our lives, it has also presented a serious problem - these systems are vulnerable to security attacks. The physical components, algorithms, and data that make up AI-Robot"},"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":"2310.08565","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-10-12T17:54:20Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"be408d0583c12a3f1d5f6698012717b6cb0ddadf7adf508e40da7e3d2529a73a","abstract_canon_sha256":"fe72f7fb599322752292b04d3b313931b737a80a3418e9463102bad04372807b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:37:52.413917Z","signature_b64":"AokkvV/uk8uBv+KDe0VekJa4w+jG9SynwOMeshCnZ9xA2wvO0Gkkp8F78O1OpzjI7KRGEbJTAEE+wdtqPpTGBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"25125fee68aa158b0028747072c12ce65d9d2dd1ffc6c69b90909ea820254d01","last_reissued_at":"2026-07-05T07:37:52.413412Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:37:52.413412Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Ivan A. Fernandez, Jingdao Chen, Nisha Pillai, Shahram Rahimi, Shaswata Mitra, Subash Neupane, Sudip Mittal, Swayamjit Saha","submitted_at":"2023-10-12T17:54:20Z","abstract_excerpt":"Robotics and Artificial Intelligence (AI) have been inextricably intertwined since their inception. Today, AI-Robotics systems have become an integral part of our daily lives, from robotic vacuum cleaners to semi-autonomous cars. These systems are built upon three fundamental architectural elements: perception, navigation and planning, and control. However, while the integration of AI-Robotics systems has enhanced the quality our lives, it has also presented a serious problem - these systems are vulnerable to security attacks. The physical components, algorithms, and data that make up AI-Robot"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08565","kind":"arxiv","version":3},"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/2310.08565/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":"2310.08565","created_at":"2026-07-05T07:37:52.413469+00:00"},{"alias_kind":"arxiv_version","alias_value":"2310.08565v3","created_at":"2026-07-05T07:37:52.413469+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08565","created_at":"2026-07-05T07:37:52.413469+00:00"},{"alias_kind":"pith_short_12","alias_value":"EUJF73TIVIKY","created_at":"2026-07-05T07:37:52.413469+00:00"},{"alias_kind":"pith_short_16","alias_value":"EUJF73TIVIKYWABI","created_at":"2026-07-05T07:37:52.413469+00:00"},{"alias_kind":"pith_short_8","alias_value":"EUJF73TI","created_at":"2026-07-05T07:37:52.413469+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/EUJF73TIVIKYWABIORYHFQJM4Z","json":"https://pith.science/pith/EUJF73TIVIKYWABIORYHFQJM4Z.json","graph_json":"https://pith.science/api/pith-number/EUJF73TIVIKYWABIORYHFQJM4Z/graph.json","events_json":"https://pith.science/api/pith-number/EUJF73TIVIKYWABIORYHFQJM4Z/events.json","paper":"https://pith.science/paper/EUJF73TI"},"agent_actions":{"view_html":"https://pith.science/pith/EUJF73TIVIKYWABIORYHFQJM4Z","download_json":"https://pith.science/pith/EUJF73TIVIKYWABIORYHFQJM4Z.json","view_paper":"https://pith.science/paper/EUJF73TI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2310.08565&json=true","fetch_graph":"https://pith.science/api/pith-number/EUJF73TIVIKYWABIORYHFQJM4Z/graph.json","fetch_events":"https://pith.science/api/pith-number/EUJF73TIVIKYWABIORYHFQJM4Z/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EUJF73TIVIKYWABIORYHFQJM4Z/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EUJF73TIVIKYWABIORYHFQJM4Z/action/storage_attestation","attest_author":"https://pith.science/pith/EUJF73TIVIKYWABIORYHFQJM4Z/action/author_attestation","sign_citation":"https://pith.science/pith/EUJF73TIVIKYWABIORYHFQJM4Z/action/citation_signature","submit_replication":"https://pith.science/pith/EUJF73TIVIKYWABIORYHFQJM4Z/action/replication_record"}},"created_at":"2026-07-05T07:37:52.413469+00:00","updated_at":"2026-07-05T07:37:52.413469+00:00"}