{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WCD3QORTP333EFKAZIU3OBSVM7","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":"a32b2f6486b44da7a5a2732ea6b48f09d18553fe550ccc46a244d3d1da4bd872","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-15T12:42:47Z","title_canon_sha256":"91feb6a633a7b5e540922da4552bd233b02b2f32dd031ef56e19cc0ec75372da"},"schema_version":"1.0","source":{"id":"2605.15904","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15904","created_at":"2026-05-20T00:01:24Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15904v1","created_at":"2026-05-20T00:01:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15904","created_at":"2026-05-20T00:01:24Z"},{"alias_kind":"pith_short_12","alias_value":"WCD3QORTP333","created_at":"2026-05-20T00:01:24Z"},{"alias_kind":"pith_short_16","alias_value":"WCD3QORTP333EFKA","created_at":"2026-05-20T00:01:24Z"},{"alias_kind":"pith_short_8","alias_value":"WCD3QORT","created_at":"2026-05-20T00:01:24Z"}],"graph_snapshots":[{"event_id":"sha256:e357379c581c81797e23b98dcdc7427a7df58f101ab39776e39a67c64e064492","target":"graph","created_at":"2026-05-20T00:01:24Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T17:33:46.562814Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T17:01:55.769410Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.15904/integrity.json","findings":[],"snapshot_sha256":"0584f25919a814ad741461e98ff801056bebf6611894ef4271aa668bd59f1071","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cybersecurity Knowledge Graphs (CKGs) unify diverse Cyber Threat Intelligence (CTI) sources into structured, queryable formats, offering scalable solutions for automating proactive and real-time security responses. Their increasing adoption has significantly enhanced the workflow and decision-making efficiency of security professionals. However, constructing CKGs requires extracting entity-relation triples from unstructured CTI reports, a task hindered by complex report structure, domain-specific language, and semantic ambiguity. As a result, existing pipeline-based approaches often suffer fro","authors_text":"Inoussa Mouiche, Sherif Saad","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-15T12:42:47Z","title":"Context-aware Entity-Relation Extraction for Threat Intelligence Knowledge Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.15904","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":"sha256:723ffc0a0a5df74ee471e11883a6e70c5bef63c3d41a743bf4b620dd42f61eb0","target":"record","created_at":"2026-05-20T00:01:24Z","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":"a32b2f6486b44da7a5a2732ea6b48f09d18553fe550ccc46a244d3d1da4bd872","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-15T12:42:47Z","title_canon_sha256":"91feb6a633a7b5e540922da4552bd233b02b2f32dd031ef56e19cc0ec75372da"},"schema_version":"1.0","source":{"id":"2605.15904","kind":"arxiv","version":1}},"canonical_sha256":"b087b83a337ef7b21540ca29b7065567fbaa2c6dce95fd143819d6fde874328c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b087b83a337ef7b21540ca29b7065567fbaa2c6dce95fd143819d6fde874328c","first_computed_at":"2026-05-20T00:01:24.710271Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:01:24.710271Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LEm4W/ECwPKxEmETRqDVM5v9wrBEVhh69fpcKYwPsMisKvHAFBt4FRMojKjhkVn2HhRXYt2f0BJhFIzXQRWcAQ==","signature_status":"signed_v1","signed_at":"2026-05-20T00:01:24.710953Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.15904","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:723ffc0a0a5df74ee471e11883a6e70c5bef63c3d41a743bf4b620dd42f61eb0","sha256:e357379c581c81797e23b98dcdc7427a7df58f101ab39776e39a67c64e064492"],"state_sha256":"ca6d42301e3badb98308867af74cf6db7f41cab5781b0def17207c03f1a5b8b8"}