{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PHZRGMWUZVTM4YQDXNSJD5T2NK","short_pith_number":"pith:PHZRGMWU","canonical_record":{"source":{"id":"2406.00938","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-06-03T02:24:01Z","cross_cats_sorted":["cs.AI","cs.SC"],"title_canon_sha256":"45e0b7028abb349cb27889e56e9d2843fb954b9bda0eb84e491ac302f706d342","abstract_canon_sha256":"23f493507cb80138431de84cfc2915d6bba6051090841f093ed6ebd72e92fd65"},"schema_version":"1.0"},"canonical_sha256":"79f31332d4cd66ce6203bb6491f67a6ab8370e4eaa970c80ef98048335f71d00","source":{"kind":"arxiv","id":"2406.00938","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.00938","created_at":"2026-07-05T08:26:32Z"},{"alias_kind":"arxiv_version","alias_value":"2406.00938v1","created_at":"2026-07-05T08:26:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.00938","created_at":"2026-07-05T08:26:32Z"},{"alias_kind":"pith_short_12","alias_value":"PHZRGMWUZVTM","created_at":"2026-07-05T08:26:32Z"},{"alias_kind":"pith_short_16","alias_value":"PHZRGMWUZVTM4YQD","created_at":"2026-07-05T08:26:32Z"},{"alias_kind":"pith_short_8","alias_value":"PHZRGMWU","created_at":"2026-07-05T08:26:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PHZRGMWUZVTM4YQDXNSJD5T2NK","target":"record","payload":{"canonical_record":{"source":{"id":"2406.00938","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-06-03T02:24:01Z","cross_cats_sorted":["cs.AI","cs.SC"],"title_canon_sha256":"45e0b7028abb349cb27889e56e9d2843fb954b9bda0eb84e491ac302f706d342","abstract_canon_sha256":"23f493507cb80138431de84cfc2915d6bba6051090841f093ed6ebd72e92fd65"},"schema_version":"1.0"},"canonical_sha256":"79f31332d4cd66ce6203bb6491f67a6ab8370e4eaa970c80ef98048335f71d00","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:26:32.752755Z","signature_b64":"BgSGOM+SKuv5+vqWm1tjU4eEzTN4NwQ/J7EoAQcDg+86r2Lf8pdgYvopDGUG21+0A3oS8qEnGYBso4KudzddCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"79f31332d4cd66ce6203bb6491f67a6ab8370e4eaa970c80ef98048335f71d00","last_reissued_at":"2026-07-05T08:26:32.752137Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:26:32.752137Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.00938","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:26:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LVJ5uENtgDFZDYlGs4HsvU9QXF8Lw5StYrbrlMpK7LcEGkSFt4JPmiUebYnxosmDSbPBLa/ER9/xXVt3n30IAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:02:58.445604Z"},"content_sha256":"121a03ca6b21fe1f28b2e6df6e0b7f76b2d30cec1163b44e7deaf0cec46ef5c1","schema_version":"1.0","event_id":"sha256:121a03ca6b21fe1f28b2e6df6e0b7f76b2d30cec1163b44e7deaf0cec46ef5c1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PHZRGMWUZVTM4YQDXNSJD5T2NK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.SC"],"primary_cat":"cs.CR","authors_text":"Alice Bizzarri, Brian Jalaian, Chung-En Yu, Fabrizio Riguzzi, Nathaniel D. Bastian","submitted_at":"2024-06-03T02:24:01Z","abstract_excerpt":"The prevailing approaches in Network Intrusion Detection Systems (NIDS) are often hampered by issues such as high resource consumption, significant computational demands, and poor interpretability. Furthermore, these systems generally struggle to identify novel, rapidly changing cyber threats. This paper delves into the potential of incorporating Neurosymbolic Artificial Intelligence (NSAI) into NIDS, combining deep learning's data-driven strengths with symbolic AI's logical reasoning to tackle the dynamic challenges in cybersecurity, which also includes detailed NSAI techniques introduction f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.00938","kind":"arxiv","version":1},"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/2406.00938/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:26:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V8yJEBwC9h0NDWbAVg8KhbBaYqNVY5bobRRt+GTo92sSlllbQbBy1PRD7mIo3sUCSP5aWXIMoahJhCP54TMNCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:02:58.446104Z"},"content_sha256":"8ff0efe1d478d83e3be6522980e4867a4ae4236f12073e644eacffb75880526d","schema_version":"1.0","event_id":"sha256:8ff0efe1d478d83e3be6522980e4867a4ae4236f12073e644eacffb75880526d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PHZRGMWUZVTM4YQDXNSJD5T2NK/bundle.json","state_url":"https://pith.science/pith/PHZRGMWUZVTM4YQDXNSJD5T2NK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PHZRGMWUZVTM4YQDXNSJD5T2NK/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T15:02:58Z","links":{"resolver":"https://pith.science/pith/PHZRGMWUZVTM4YQDXNSJD5T2NK","bundle":"https://pith.science/pith/PHZRGMWUZVTM4YQDXNSJD5T2NK/bundle.json","state":"https://pith.science/pith/PHZRGMWUZVTM4YQDXNSJD5T2NK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PHZRGMWUZVTM4YQDXNSJD5T2NK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PHZRGMWUZVTM4YQDXNSJD5T2NK","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":"23f493507cb80138431de84cfc2915d6bba6051090841f093ed6ebd72e92fd65","cross_cats_sorted":["cs.AI","cs.SC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-06-03T02:24:01Z","title_canon_sha256":"45e0b7028abb349cb27889e56e9d2843fb954b9bda0eb84e491ac302f706d342"},"schema_version":"1.0","source":{"id":"2406.00938","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.00938","created_at":"2026-07-05T08:26:32Z"},{"alias_kind":"arxiv_version","alias_value":"2406.00938v1","created_at":"2026-07-05T08:26:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.00938","created_at":"2026-07-05T08:26:32Z"},{"alias_kind":"pith_short_12","alias_value":"PHZRGMWUZVTM","created_at":"2026-07-05T08:26:32Z"},{"alias_kind":"pith_short_16","alias_value":"PHZRGMWUZVTM4YQD","created_at":"2026-07-05T08:26:32Z"},{"alias_kind":"pith_short_8","alias_value":"PHZRGMWU","created_at":"2026-07-05T08:26:32Z"}],"graph_snapshots":[{"event_id":"sha256:8ff0efe1d478d83e3be6522980e4867a4ae4236f12073e644eacffb75880526d","target":"graph","created_at":"2026-07-05T08:26:32Z","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/2406.00938/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The prevailing approaches in Network Intrusion Detection Systems (NIDS) are often hampered by issues such as high resource consumption, significant computational demands, and poor interpretability. Furthermore, these systems generally struggle to identify novel, rapidly changing cyber threats. This paper delves into the potential of incorporating Neurosymbolic Artificial Intelligence (NSAI) into NIDS, combining deep learning's data-driven strengths with symbolic AI's logical reasoning to tackle the dynamic challenges in cybersecurity, which also includes detailed NSAI techniques introduction f","authors_text":"Alice Bizzarri, Brian Jalaian, Chung-En Yu, Fabrizio Riguzzi, Nathaniel D. Bastian","cross_cats":["cs.AI","cs.SC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-06-03T02:24:01Z","title":"A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.00938","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":"sha256:121a03ca6b21fe1f28b2e6df6e0b7f76b2d30cec1163b44e7deaf0cec46ef5c1","target":"record","created_at":"2026-07-05T08:26:32Z","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":"23f493507cb80138431de84cfc2915d6bba6051090841f093ed6ebd72e92fd65","cross_cats_sorted":["cs.AI","cs.SC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-06-03T02:24:01Z","title_canon_sha256":"45e0b7028abb349cb27889e56e9d2843fb954b9bda0eb84e491ac302f706d342"},"schema_version":"1.0","source":{"id":"2406.00938","kind":"arxiv","version":1}},"canonical_sha256":"79f31332d4cd66ce6203bb6491f67a6ab8370e4eaa970c80ef98048335f71d00","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79f31332d4cd66ce6203bb6491f67a6ab8370e4eaa970c80ef98048335f71d00","first_computed_at":"2026-07-05T08:26:32.752137Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:26:32.752137Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BgSGOM+SKuv5+vqWm1tjU4eEzTN4NwQ/J7EoAQcDg+86r2Lf8pdgYvopDGUG21+0A3oS8qEnGYBso4KudzddCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:26:32.752755Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.00938","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:121a03ca6b21fe1f28b2e6df6e0b7f76b2d30cec1163b44e7deaf0cec46ef5c1","sha256:8ff0efe1d478d83e3be6522980e4867a4ae4236f12073e644eacffb75880526d"],"state_sha256":"2db5fab0d0b696d8742ffd80e076c8e55f068ae369ce0edb7b020d57c6feb57b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JeD4e6FKj29UrrNYpQyHOrkuP7xQxoXHVsx38E5X8O8qAR6x/B3uMyH3VI+C1A7z8IXjp1iw/5fggHuLDfzfDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T15:02:58.451069Z","bundle_sha256":"7412b458a3ee98811e40400d6187874890909c0887e93475806c4a94bcd61d62"}}