{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5TTFV5JPR756I6E2X2TEFE2QIP","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":"3a55fa4516d9075b2c14f0f5250100d7cab9f18d2ab7326b64c434f62fce5711","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-03-24T16:30:05Z","title_canon_sha256":"e29df9411cda8194ff5070f122bc5e99af503f97a26614136be55749cb05c506"},"schema_version":"1.0","source":{"id":"2403.16222","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.16222","created_at":"2026-07-05T08:00:43Z"},{"alias_kind":"arxiv_version","alias_value":"2403.16222v2","created_at":"2026-07-05T08:00:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.16222","created_at":"2026-07-05T08:00:43Z"},{"alias_kind":"pith_short_12","alias_value":"5TTFV5JPR756","created_at":"2026-07-05T08:00:43Z"},{"alias_kind":"pith_short_16","alias_value":"5TTFV5JPR756I6E2","created_at":"2026-07-05T08:00:43Z"},{"alias_kind":"pith_short_8","alias_value":"5TTFV5JP","created_at":"2026-07-05T08:00:43Z"}],"graph_snapshots":[{"event_id":"sha256:c4dd8ae9bf250599ff9831e52d402af50ff11341eaa1038bcc67b26f2d54ec61","target":"graph","created_at":"2026-07-05T08:00:43Z","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/2403.16222/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Much of human knowledge in cybersecurity is encapsulated within the ever-growing volume of scientific papers. As this textual data continues to expand, the importance of document organization methods becomes increasingly crucial for extracting actionable insights hidden within large text datasets. Knowledge Graphs (KGs) serve as a means to store factual information in a structured manner, providing explicit, interpretable knowledge that includes domain-specific information from the cybersecurity scientific literature. One of the challenges in constructing a KG from scientific literature is the","authors_text":"Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek, Kim Rasmussen, Maksim E. Eren, Manish Bhattarai, Nicholas Solovyev, Ryan Barron, Selma Wanna","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-03-24T16:30:05Z","title":"Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.16222","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:c82c98ff4d44970d13194b26bdcfd1f194b7f3e7888f8936d112e8c57fb780d9","target":"record","created_at":"2026-07-05T08:00:43Z","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":"3a55fa4516d9075b2c14f0f5250100d7cab9f18d2ab7326b64c434f62fce5711","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-03-24T16:30:05Z","title_canon_sha256":"e29df9411cda8194ff5070f122bc5e99af503f97a26614136be55749cb05c506"},"schema_version":"1.0","source":{"id":"2403.16222","kind":"arxiv","version":2}},"canonical_sha256":"ece65af52f8ffbe4789abea642935043eb0733481512eb7f39723ac4da900cf4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ece65af52f8ffbe4789abea642935043eb0733481512eb7f39723ac4da900cf4","first_computed_at":"2026-07-05T08:00:43.537335Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:00:43.537335Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hW8b07dyA1UZbwKHSJWB1pU9FEf/FkdRpRT3O808A2LPfBdRc2zrHH5pmptaaFJTdshennGLR2MQPLPXn2dQBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:00:43.537721Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.16222","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c82c98ff4d44970d13194b26bdcfd1f194b7f3e7888f8936d112e8c57fb780d9","sha256:c4dd8ae9bf250599ff9831e52d402af50ff11341eaa1038bcc67b26f2d54ec61"],"state_sha256":"a9269ca1aea3849136cbf70f355349de36b665c5c326b382ffaadea6a0e2bcd7"}