{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7WCOKCPUIJVVC3VDF5ECV5NJM5","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":"1702c27cc2710865459b848e053643801e59d08cdffe867a791ccd33cc90228d","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-30T14:41:38Z","title_canon_sha256":"832de5362dc7c0fbee0b59a0c958c8d582718c8c10da88c54b3840339aa6c5ac"},"schema_version":"1.0","source":{"id":"2505.24654","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.24654","created_at":"2026-07-05T11:12:54Z"},{"alias_kind":"arxiv_version","alias_value":"2505.24654v1","created_at":"2026-07-05T11:12:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.24654","created_at":"2026-07-05T11:12:54Z"},{"alias_kind":"pith_short_12","alias_value":"7WCOKCPUIJVV","created_at":"2026-07-05T11:12:54Z"},{"alias_kind":"pith_short_16","alias_value":"7WCOKCPUIJVVC3VD","created_at":"2026-07-05T11:12:54Z"},{"alias_kind":"pith_short_8","alias_value":"7WCOKCPU","created_at":"2026-07-05T11:12:54Z"}],"graph_snapshots":[{"event_id":"sha256:fbf0723355cfa1beecc3cdeac1606fbb4d9f7f8aae283771b89df7ebfb4e259b","target":"graph","created_at":"2026-07-05T11:12:54Z","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/2505.24654/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Continuous advancements in deep learning have led to significant progress in feature detection, resulting in enhanced accuracy in tasks like Simultaneous Localization and Mapping (SLAM). Nevertheless, the vulnerability of deep neural networks to adversarial attacks remains a challenge for their reliable deployment in applications, such as navigation of autonomous agents. Even though CNN-based SLAM algorithms are a growing area of research there is a notable absence of a comprehensive presentation and examination of adversarial attacks targeting CNN-based feature detectors, as part of a SLAM sy","authors_text":"Bowen Sun, Christos D. Antonopoulos, Evgenia Smirni, Maria Rafaela Gkeka, Nikolaos Bellas, Spyros Lalis","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-30T14:41:38Z","title":"Black-box Adversarial Attacks on CNN-based SLAM Algorithms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.24654","kind":"arxiv","version":1},"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":"sha256:69e093662ce5f0b3b547d06e260d5de33e07af8e0b6bd84938aed7632bb3f282","target":"record","created_at":"2026-07-05T11:12:54Z","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":"1702c27cc2710865459b848e053643801e59d08cdffe867a791ccd33cc90228d","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-30T14:41:38Z","title_canon_sha256":"832de5362dc7c0fbee0b59a0c958c8d582718c8c10da88c54b3840339aa6c5ac"},"schema_version":"1.0","source":{"id":"2505.24654","kind":"arxiv","version":1}},"canonical_sha256":"fd84e509f4426b516ea32f482af5a967452606d45ab8779f1bd903fc732d5cb7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd84e509f4426b516ea32f482af5a967452606d45ab8779f1bd903fc732d5cb7","first_computed_at":"2026-07-05T11:12:54.054995Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:54.054995Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UhG3xrMD1mg7FqwWpYEcr2hf4TFG9TuGMG2CidGjZVaGfSoTJaDlfYnepOwSGL7zzA2gwDv8QLHb4y6qt2AHCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:54.055630Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.24654","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:69e093662ce5f0b3b547d06e260d5de33e07af8e0b6bd84938aed7632bb3f282","sha256:fbf0723355cfa1beecc3cdeac1606fbb4d9f7f8aae283771b89df7ebfb4e259b"],"state_sha256":"f213ef8ac076413a2ce521ad1acb67c9ddf4f7d215a9c2a914c24bad12da9abd"}