{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:TZHZZEDH73Y4VAFYOP6YDTDQJ4","short_pith_number":"pith:TZHZZEDH","schema_version":"1.0","canonical_sha256":"9e4f9c9067fef1ca80b873fd81cc704f0db8e5aeb376d92b58844217ffbcb63b","source":{"kind":"arxiv","id":"1504.04317","version":1},"attestation_state":"computed","paper":{"title":"Towards a relation extraction framework for cyber-security concepts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.CR"],"primary_cat":"cs.IR","authors_text":"Corinne L. Jones, John Goodall, Kelly Huffer, Robert A. Bridges","submitted_at":"2015-04-16T17:26:24Z","abstract_excerpt":"In order to assist security analysts in obtaining information pertaining to their network, such as novel vulnerabilities, exploits, or patches, information retrieval methods tailored to the security domain are needed. As labeled text data is scarce and expensive, we follow developments in semi-supervised Natural Language Processing and implement a bootstrapping algorithm for extracting security entities and their relationships from text. The algorithm requires little input data, specifically, a few relations or patterns (heuristics for identifying relations), and incorporates an active learnin"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1504.04317","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2015-04-16T17:26:24Z","cross_cats_sorted":["cs.CL","cs.CR"],"title_canon_sha256":"3092015fc5c401a2444f705f37f9cadd515bc87361025e4b41d615b881d27ed8","abstract_canon_sha256":"8e08ae27f0493c3fca885ad9846a4e4ba84b3aca4f7a4e212437580445476494"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:18:33.489304Z","signature_b64":"i5Ek37pcNPTLL3lR8HzralUfXbnImEz2rz3OM4CUnCyiecSGfoL41JkH+Zk6+ME/bUIJOWIsO4TH3GEaIgBLAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9e4f9c9067fef1ca80b873fd81cc704f0db8e5aeb376d92b58844217ffbcb63b","last_reissued_at":"2026-05-18T02:18:33.488896Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:18:33.488896Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards a relation extraction framework for cyber-security concepts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.CR"],"primary_cat":"cs.IR","authors_text":"Corinne L. Jones, John Goodall, Kelly Huffer, Robert A. Bridges","submitted_at":"2015-04-16T17:26:24Z","abstract_excerpt":"In order to assist security analysts in obtaining information pertaining to their network, such as novel vulnerabilities, exploits, or patches, information retrieval methods tailored to the security domain are needed. As labeled text data is scarce and expensive, we follow developments in semi-supervised Natural Language Processing and implement a bootstrapping algorithm for extracting security entities and their relationships from text. The algorithm requires little input data, specifically, a few relations or patterns (heuristics for identifying relations), and incorporates an active learnin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.04317","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1504.04317","created_at":"2026-05-18T02:18:33.488960+00:00"},{"alias_kind":"arxiv_version","alias_value":"1504.04317v1","created_at":"2026-05-18T02:18:33.488960+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.04317","created_at":"2026-05-18T02:18:33.488960+00:00"},{"alias_kind":"pith_short_12","alias_value":"TZHZZEDH73Y4","created_at":"2026-05-18T12:29:44.643036+00:00"},{"alias_kind":"pith_short_16","alias_value":"TZHZZEDH73Y4VAFY","created_at":"2026-05-18T12:29:44.643036+00:00"},{"alias_kind":"pith_short_8","alias_value":"TZHZZEDH","created_at":"2026-05-18T12:29:44.643036+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TZHZZEDH73Y4VAFYOP6YDTDQJ4","json":"https://pith.science/pith/TZHZZEDH73Y4VAFYOP6YDTDQJ4.json","graph_json":"https://pith.science/api/pith-number/TZHZZEDH73Y4VAFYOP6YDTDQJ4/graph.json","events_json":"https://pith.science/api/pith-number/TZHZZEDH73Y4VAFYOP6YDTDQJ4/events.json","paper":"https://pith.science/paper/TZHZZEDH"},"agent_actions":{"view_html":"https://pith.science/pith/TZHZZEDH73Y4VAFYOP6YDTDQJ4","download_json":"https://pith.science/pith/TZHZZEDH73Y4VAFYOP6YDTDQJ4.json","view_paper":"https://pith.science/paper/TZHZZEDH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1504.04317&json=true","fetch_graph":"https://pith.science/api/pith-number/TZHZZEDH73Y4VAFYOP6YDTDQJ4/graph.json","fetch_events":"https://pith.science/api/pith-number/TZHZZEDH73Y4VAFYOP6YDTDQJ4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TZHZZEDH73Y4VAFYOP6YDTDQJ4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TZHZZEDH73Y4VAFYOP6YDTDQJ4/action/storage_attestation","attest_author":"https://pith.science/pith/TZHZZEDH73Y4VAFYOP6YDTDQJ4/action/author_attestation","sign_citation":"https://pith.science/pith/TZHZZEDH73Y4VAFYOP6YDTDQJ4/action/citation_signature","submit_replication":"https://pith.science/pith/TZHZZEDH73Y4VAFYOP6YDTDQJ4/action/replication_record"}},"created_at":"2026-05-18T02:18:33.488960+00:00","updated_at":"2026-05-18T02:18:33.488960+00:00"}