{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:GA6GS5ESUVUYR577VCOSFQAHB7","short_pith_number":"pith:GA6GS5ES","schema_version":"1.0","canonical_sha256":"303c697492a56988f7ffa89d22c0070ff0abf0f76567cbb6b5b9875f0a2cdc40","source":{"kind":"arxiv","id":"1611.06843","version":1},"attestation_state":"computed","paper":{"title":"Joint Hacking and Latent Hazard Rate Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Alexander J. Smola, Kyle Soska, Qinghua Zheng, Yu-Xiang Wang, Ziqi Liu","submitted_at":"2016-11-21T15:42:00Z","abstract_excerpt":"In this paper we describe an algorithm for predicting the websites at risk in a long range hacking activity, while jointly inferring the provenance and evolution of vulnerabilities on websites over continuous time. Specifically, we use hazard regression with a time-varying additive hazard function parameterized in a generalized linear form. The activation coefficients on each feature are continuous-time functions constrained with total variation penalty inspired by hacking campaigns. We show that the optimal solution is a 0th order spline with a finite number of adaptively chosen knots, and ca"},"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":"1611.06843","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-11-21T15:42:00Z","cross_cats_sorted":[],"title_canon_sha256":"7653337432b835d05fd7b4f4b791941a88b6823ad9c9c4b75dc9acf8eec4969d","abstract_canon_sha256":"0d3f59f1f32e6ca9730066e47a0c2d23664734d9fc292df4f1e7c92df377e134"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:57:25.076466Z","signature_b64":"szinwWRAXSANyu3zIP+TG8sO6SK85FmCZocz4VjOC7PZ5XcMGSr97phfEFiV+gZxY0blP90EyzN9CDuB8194CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"303c697492a56988f7ffa89d22c0070ff0abf0f76567cbb6b5b9875f0a2cdc40","last_reissued_at":"2026-05-18T00:57:25.075872Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:57:25.075872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Joint Hacking and Latent Hazard Rate Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Alexander J. Smola, Kyle Soska, Qinghua Zheng, Yu-Xiang Wang, Ziqi Liu","submitted_at":"2016-11-21T15:42:00Z","abstract_excerpt":"In this paper we describe an algorithm for predicting the websites at risk in a long range hacking activity, while jointly inferring the provenance and evolution of vulnerabilities on websites over continuous time. Specifically, we use hazard regression with a time-varying additive hazard function parameterized in a generalized linear form. The activation coefficients on each feature are continuous-time functions constrained with total variation penalty inspired by hacking campaigns. We show that the optimal solution is a 0th order spline with a finite number of adaptively chosen knots, and ca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.06843","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":"1611.06843","created_at":"2026-05-18T00:57:25.075965+00:00"},{"alias_kind":"arxiv_version","alias_value":"1611.06843v1","created_at":"2026-05-18T00:57:25.075965+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.06843","created_at":"2026-05-18T00:57:25.075965+00:00"},{"alias_kind":"pith_short_12","alias_value":"GA6GS5ESUVUY","created_at":"2026-05-18T12:30:15.759754+00:00"},{"alias_kind":"pith_short_16","alias_value":"GA6GS5ESUVUYR577","created_at":"2026-05-18T12:30:15.759754+00:00"},{"alias_kind":"pith_short_8","alias_value":"GA6GS5ES","created_at":"2026-05-18T12:30:15.759754+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/GA6GS5ESUVUYR577VCOSFQAHB7","json":"https://pith.science/pith/GA6GS5ESUVUYR577VCOSFQAHB7.json","graph_json":"https://pith.science/api/pith-number/GA6GS5ESUVUYR577VCOSFQAHB7/graph.json","events_json":"https://pith.science/api/pith-number/GA6GS5ESUVUYR577VCOSFQAHB7/events.json","paper":"https://pith.science/paper/GA6GS5ES"},"agent_actions":{"view_html":"https://pith.science/pith/GA6GS5ESUVUYR577VCOSFQAHB7","download_json":"https://pith.science/pith/GA6GS5ESUVUYR577VCOSFQAHB7.json","view_paper":"https://pith.science/paper/GA6GS5ES","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1611.06843&json=true","fetch_graph":"https://pith.science/api/pith-number/GA6GS5ESUVUYR577VCOSFQAHB7/graph.json","fetch_events":"https://pith.science/api/pith-number/GA6GS5ESUVUYR577VCOSFQAHB7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GA6GS5ESUVUYR577VCOSFQAHB7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GA6GS5ESUVUYR577VCOSFQAHB7/action/storage_attestation","attest_author":"https://pith.science/pith/GA6GS5ESUVUYR577VCOSFQAHB7/action/author_attestation","sign_citation":"https://pith.science/pith/GA6GS5ESUVUYR577VCOSFQAHB7/action/citation_signature","submit_replication":"https://pith.science/pith/GA6GS5ESUVUYR577VCOSFQAHB7/action/replication_record"}},"created_at":"2026-05-18T00:57:25.075965+00:00","updated_at":"2026-05-18T00:57:25.075965+00:00"}