{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Y2FVTVVVLDB6UFW7LNMH7G37XU","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":"bef66d9679bb9dd39cc7732026c7b2b239b93cec56b3926f6645041a1674d7ba","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-07-12T04:20:00Z","title_canon_sha256":"393d718553b56405b6077c0bdb0d7a1c67cbd8949ed01ab93de15a4956dc2081"},"schema_version":"1.0","source":{"id":"2507.09133","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.09133","created_at":"2026-07-05T11:36:04Z"},{"alias_kind":"arxiv_version","alias_value":"2507.09133v1","created_at":"2026-07-05T11:36:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.09133","created_at":"2026-07-05T11:36:04Z"},{"alias_kind":"pith_short_12","alias_value":"Y2FVTVVVLDB6","created_at":"2026-07-05T11:36:04Z"},{"alias_kind":"pith_short_16","alias_value":"Y2FVTVVVLDB6UFW7","created_at":"2026-07-05T11:36:04Z"},{"alias_kind":"pith_short_8","alias_value":"Y2FVTVVV","created_at":"2026-07-05T11:36:04Z"}],"graph_snapshots":[{"event_id":"sha256:11e389113e2d2fa2b36245dd62b64ca546da4806e13407ea2fe34d755a2749e8","target":"graph","created_at":"2026-07-05T11:36:04Z","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/2507.09133/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the increasing complexity of cyberattacks, the proactive and forward-looking nature of threat intelligence has become more crucial for threat detection and provenance analysis. However, translating high-level attack patterns described in Tactics, Techniques, and Procedures (TTP) intelligence into actionable security policies remains a significant challenge. This challenge arises from the semantic gap between high-level threat intelligence and low-level provenance log. To address this issue, this paper introduces CLIProv, a novel approach for detecting threat behaviors in a host system. CL","authors_text":"Jianyi Liu, Jingwen Li, Ru Zhang, Wanguo Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-07-12T04:20:00Z","title":"CLIProv: A Contrastive Log-to-Intelligence Multimodal Approach for Threat Detection and Provenance Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.09133","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":"sha256:972927c7d4acd98a84a3e8245e794159ce7b85ef30605546fb08cbeb1fe06cac","target":"record","created_at":"2026-07-05T11:36:04Z","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":"bef66d9679bb9dd39cc7732026c7b2b239b93cec56b3926f6645041a1674d7ba","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-07-12T04:20:00Z","title_canon_sha256":"393d718553b56405b6077c0bdb0d7a1c67cbd8949ed01ab93de15a4956dc2081"},"schema_version":"1.0","source":{"id":"2507.09133","kind":"arxiv","version":1}},"canonical_sha256":"c68b59d6b558c3ea16df5b587f9b7fbd0a8af260918077ab268bb02c305b02b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c68b59d6b558c3ea16df5b587f9b7fbd0a8af260918077ab268bb02c305b02b4","first_computed_at":"2026-07-05T11:36:04.190180Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:36:04.190180Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bag3hQ1ZP0y//XSQCg6c9JmK2FPedWTxRmRuv1T5ZX732nyVpVS/mT6KAhnhedetpai2ZBBgeyTXRwGiEvOfBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:36:04.190616Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.09133","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:972927c7d4acd98a84a3e8245e794159ce7b85ef30605546fb08cbeb1fe06cac","sha256:11e389113e2d2fa2b36245dd62b64ca546da4806e13407ea2fe34d755a2749e8"],"state_sha256":"1b794f10176d6f9e532b5a13ede9a7a9758b0e23313b34697ecf57cf6709c43a"}