{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DP5NFZR7ASYSKG2K26EMRJ2OS7","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":"71e34ca0f876dde4942cfcebde970a4621a2d1bda7e4673cf66aef8826162b6d","cross_cats_sorted":["cs.AI","cs.ET","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-12-16T12:21:05Z","title_canon_sha256":"3768bb2649de00086150f919722bca15015c00fcdc90e49a08bc571ddade206b"},"schema_version":"1.0","source":{"id":"2412.11698","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.11698","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"arxiv_version","alias_value":"2412.11698v2","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.11698","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"pith_short_12","alias_value":"DP5NFZR7ASYS","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"pith_short_16","alias_value":"DP5NFZR7ASYSKG2K","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"pith_short_8","alias_value":"DP5NFZR7","created_at":"2026-07-05T09:59:21Z"}],"graph_snapshots":[{"event_id":"sha256:23756e0bcc86e7a04a4b5d3866c36a775117fa4bb2e07a216520a259214d9a03","target":"graph","created_at":"2026-07-05T09:59:21Z","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/2412.11698/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Context. The security of critical infrastructure has been a pressing concern since the advent of computers and has become even more critical in today's era of cyber warfare. Protecting mission-critical systems (MCSs), essential for national security, requires swift and robust governance, yet recent events reveal the increasing difficulty of meeting these challenges. Aim. Building on prior research showcasing the potential of Generative AI (GAI), such as Large Language Models, in enhancing risk analysis, we aim to explore practitioners' views on integrating GAI into the governance of IT MCSs. O","authors_text":"Davide Taibi, Francesco Palagiano, Matteo Esposito, Valentina Lenarduzzi","cross_cats":["cs.AI","cs.ET","cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-12-16T12:21:05Z","title":"On Large Language Models in Mission-Critical IT Governance: Are We Ready Yet?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.11698","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":"sha256:3e5a3e438fc974d711e504d8b54a128cb83caea17b429933838bd39226e4060d","target":"record","created_at":"2026-07-05T09:59:21Z","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":"71e34ca0f876dde4942cfcebde970a4621a2d1bda7e4673cf66aef8826162b6d","cross_cats_sorted":["cs.AI","cs.ET","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-12-16T12:21:05Z","title_canon_sha256":"3768bb2649de00086150f919722bca15015c00fcdc90e49a08bc571ddade206b"},"schema_version":"1.0","source":{"id":"2412.11698","kind":"arxiv","version":2}},"canonical_sha256":"1bfad2e63f04b1251b4ad788c8a74e97f872ee96d2357f00981682cb02c2a18a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1bfad2e63f04b1251b4ad788c8a74e97f872ee96d2357f00981682cb02c2a18a","first_computed_at":"2026-07-05T09:59:21.421002Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:59:21.421002Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kpLqMf3AuraZejhT0SMi3uNdqG0H82YddXlyjHHrYT3Q24pAGcgNOIHKG1tJTAKAyBTYr6c0tGxNtI82e4bIDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:59:21.421482Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.11698","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3e5a3e438fc974d711e504d8b54a128cb83caea17b429933838bd39226e4060d","sha256:23756e0bcc86e7a04a4b5d3866c36a775117fa4bb2e07a216520a259214d9a03"],"state_sha256":"ea029d92f82d07d3a2c24e4bcdd460e0fc88ae7aea44d65d26578d11a7605c3d"}