{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:6W6W4FT3TLQFACQNN4J7A45COG","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":"08bf79ec6ee1924f37ff3bdd190ab10606a284e8781c47e838db87f8256a4def","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2023-11-16T14:39:08Z","title_canon_sha256":"5c543f57f89463daa66d4cbc82658aa408bb00dfc7cdb91fa358aa0265b8793f"},"schema_version":"1.0","source":{"id":"2311.09933","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.09933","created_at":"2026-07-05T07:13:46Z"},{"alias_kind":"arxiv_version","alias_value":"2311.09933v2","created_at":"2026-07-05T07:13:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.09933","created_at":"2026-07-05T07:13:46Z"},{"alias_kind":"pith_short_12","alias_value":"6W6W4FT3TLQF","created_at":"2026-07-05T07:13:46Z"},{"alias_kind":"pith_short_16","alias_value":"6W6W4FT3TLQFACQN","created_at":"2026-07-05T07:13:46Z"},{"alias_kind":"pith_short_8","alias_value":"6W6W4FT3","created_at":"2026-07-05T07:13:46Z"}],"graph_snapshots":[{"event_id":"sha256:070ff1257b8386dead4afcca466cb444b849beec506b310767d2475ae42a803a","target":"graph","created_at":"2026-07-05T07:13:46Z","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/2311.09933/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper considers a novel co-design problem of the optimal \\textit{sequential} attack, whose attack strategy changes with the time series, and in which the \\textit{sequential} attack selection strategy and \\textit{sequential} attack signal are simultaneously designed. Different from the existing attack design works that separately focus on attack subsets or attack signals, the joint design of the attack strategy poses a huge challenge due to the deep coupling relation between the \\textit{sequential} attack selection strategy and \\textit{sequential} attack signal. In this manuscript, we deco","authors_text":"Chengcheng Zhao, Chongrong Fang, Haoxuan Pan, Jianping He, Peng Cheng, Xiaoyu Luo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2023-11-16T14:39:08Z","title":"Heuristic Learning for Co-Design Scheme of Optimal Sequential Attack"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.09933","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:c1d96b2dc38d6a7d43074c112c918503c30ca3fba334acabb5a54e68bfb52987","target":"record","created_at":"2026-07-05T07:13:46Z","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":"08bf79ec6ee1924f37ff3bdd190ab10606a284e8781c47e838db87f8256a4def","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2023-11-16T14:39:08Z","title_canon_sha256":"5c543f57f89463daa66d4cbc82658aa408bb00dfc7cdb91fa358aa0265b8793f"},"schema_version":"1.0","source":{"id":"2311.09933","kind":"arxiv","version":2}},"canonical_sha256":"f5bd6e167b9ae0500a0d6f13f073a27195561b920d76fd19872ff58c0f028496","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f5bd6e167b9ae0500a0d6f13f073a27195561b920d76fd19872ff58c0f028496","first_computed_at":"2026-07-05T07:13:46.625116Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:13:46.625116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"agNrnTZtZ1GKHwlIqTdfDOGFqUmiXzAl4mdOEXqiD/7A8+zXLUcb9MV+zMmLyh7Xwq5gOwUQ+vGOHxnjTUp2CA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:13:46.625603Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.09933","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c1d96b2dc38d6a7d43074c112c918503c30ca3fba334acabb5a54e68bfb52987","sha256:070ff1257b8386dead4afcca466cb444b849beec506b310767d2475ae42a803a"],"state_sha256":"bfe543356809089e4cc3f8aa47ffab6ec6d0aab5e043860398ed4f87e58f421f"}