{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:Q6PZKCZO7N26TVEZUMMC6GZ52C","short_pith_number":"pith:Q6PZKCZO","schema_version":"1.0","canonical_sha256":"879f950b2efb75e9d499a3182f1b3dd08fba18d79d70eec3dad6f58ca5ca48f4","source":{"kind":"arxiv","id":"2101.07769","version":2},"attestation_state":"computed","paper":{"title":"A System for Automated Open-Source Threat Intelligence Gathering and Management","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.DB"],"primary_cat":"cs.CR","authors_text":"Bhavna Soman, Chinmaya Mishra, Dawn Song, Edward Choi, Kate Farris, Peng Gao, Xiaoyuan Liu","submitted_at":"2021-01-19T18:31:35Z","abstract_excerpt":"To remain aware of the fast-evolving cyber threat landscape, open-source Cyber Threat Intelligence (OSCTI) has received growing attention from the community. Commonly, knowledge about threats is presented in a vast number of OSCTI reports. Despite the pressing need for high-quality OSCTI, existing OSCTI gathering and management platforms, however, have primarily focused on isolated, low-level Indicators of Compromise. On the other hand, higher-level concepts (e.g., adversary tactics, techniques, and procedures) and their relationships have been overlooked, which contain essential knowledge abo"},"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":"2101.07769","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2021-01-19T18:31:35Z","cross_cats_sorted":["cs.AI","cs.CL","cs.DB"],"title_canon_sha256":"cc3933545c44dc23aa156e15f996bfdff93072754142ccc5a745bdca552bea24","abstract_canon_sha256":"da65d2aa39597a4bb6de47cb308992e1bddc8424ee65d6c7e16fae4105affb7a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:18:59.059987Z","signature_b64":"KqXInGYCqs7q++wUKI1EcaPNZC9oY2A+4MWN8IhTXKY/Rq0O/C+BKhp/P0zr+4iVcac9kVt7sVCvd3kmZBVuDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"879f950b2efb75e9d499a3182f1b3dd08fba18d79d70eec3dad6f58ca5ca48f4","last_reissued_at":"2026-07-05T02:18:59.059543Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:18:59.059543Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A System for Automated Open-Source Threat Intelligence Gathering and Management","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.DB"],"primary_cat":"cs.CR","authors_text":"Bhavna Soman, Chinmaya Mishra, Dawn Song, Edward Choi, Kate Farris, Peng Gao, Xiaoyuan Liu","submitted_at":"2021-01-19T18:31:35Z","abstract_excerpt":"To remain aware of the fast-evolving cyber threat landscape, open-source Cyber Threat Intelligence (OSCTI) has received growing attention from the community. Commonly, knowledge about threats is presented in a vast number of OSCTI reports. Despite the pressing need for high-quality OSCTI, existing OSCTI gathering and management platforms, however, have primarily focused on isolated, low-level Indicators of Compromise. On the other hand, higher-level concepts (e.g., adversary tactics, techniques, and procedures) and their relationships have been overlooked, which contain essential knowledge abo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.07769","kind":"arxiv","version":2},"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/2101.07769/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2101.07769","created_at":"2026-07-05T02:18:59.059605+00:00"},{"alias_kind":"arxiv_version","alias_value":"2101.07769v2","created_at":"2026-07-05T02:18:59.059605+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.07769","created_at":"2026-07-05T02:18:59.059605+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q6PZKCZO7N26","created_at":"2026-07-05T02:18:59.059605+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q6PZKCZO7N26TVEZ","created_at":"2026-07-05T02:18:59.059605+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q6PZKCZO","created_at":"2026-07-05T02:18:59.059605+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/Q6PZKCZO7N26TVEZUMMC6GZ52C","json":"https://pith.science/pith/Q6PZKCZO7N26TVEZUMMC6GZ52C.json","graph_json":"https://pith.science/api/pith-number/Q6PZKCZO7N26TVEZUMMC6GZ52C/graph.json","events_json":"https://pith.science/api/pith-number/Q6PZKCZO7N26TVEZUMMC6GZ52C/events.json","paper":"https://pith.science/paper/Q6PZKCZO"},"agent_actions":{"view_html":"https://pith.science/pith/Q6PZKCZO7N26TVEZUMMC6GZ52C","download_json":"https://pith.science/pith/Q6PZKCZO7N26TVEZUMMC6GZ52C.json","view_paper":"https://pith.science/paper/Q6PZKCZO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2101.07769&json=true","fetch_graph":"https://pith.science/api/pith-number/Q6PZKCZO7N26TVEZUMMC6GZ52C/graph.json","fetch_events":"https://pith.science/api/pith-number/Q6PZKCZO7N26TVEZUMMC6GZ52C/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q6PZKCZO7N26TVEZUMMC6GZ52C/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q6PZKCZO7N26TVEZUMMC6GZ52C/action/storage_attestation","attest_author":"https://pith.science/pith/Q6PZKCZO7N26TVEZUMMC6GZ52C/action/author_attestation","sign_citation":"https://pith.science/pith/Q6PZKCZO7N26TVEZUMMC6GZ52C/action/citation_signature","submit_replication":"https://pith.science/pith/Q6PZKCZO7N26TVEZUMMC6GZ52C/action/replication_record"}},"created_at":"2026-07-05T02:18:59.059605+00:00","updated_at":"2026-07-05T02:18:59.059605+00:00"}