{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:WLFY5K2JTUOJAMND6WL74HTSJ4","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":"39c09137f3554828cc71c0ef67e1989effc8641463e39af2a992b559b5c20646","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-05T15:05:32Z","title_canon_sha256":"12d3f278d3254dbeca92f59a37c4193f238715ec832d246eea7babaf7d619440"},"schema_version":"1.0","source":{"id":"1902.01729","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.01729","created_at":"2026-05-17T23:54:46Z"},{"alias_kind":"arxiv_version","alias_value":"1902.01729v1","created_at":"2026-05-17T23:54:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.01729","created_at":"2026-05-17T23:54:46Z"},{"alias_kind":"pith_short_12","alias_value":"WLFY5K2JTUOJ","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"WLFY5K2JTUOJAMND","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"WLFY5K2J","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:3a0ca4b74ada9b4766b18281826f174f3870d75738db2b5804257501244599c4","target":"graph","created_at":"2026-05-17T23:54:46Z","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"},"paper":{"abstract_excerpt":"The presence of data corruption in user-generated streaming data, such as social media, motivates a new fundamental problem that learns reliable regression coefficient when features are not accessible entirely at one time. Until now, several important challenges still cannot be handled concurrently: 1) corrupted data estimation when only partial features are accessible; 2) online feature selection when data contains adversarial corruption; and 3) scaling to a massive dataset. This paper proposes a novel RObust regression algorithm via Online Feature Selection (\\textit{RoOFS}) that concurrently","authors_text":"Arnold P. Boedihardjo, Chang-Tien Lu, Liang Zhao, Shuo Lei, Xuchao Zhang","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-05T15:05:32Z","title":"Robust Regression via Online Feature Selection under Adversarial Data Corruption"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.01729","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:c43cce2f4429d03eb1e12f556dd32ddd685fea68e9d72e44fe30da7855825e66","target":"record","created_at":"2026-05-17T23:54:46Z","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":"39c09137f3554828cc71c0ef67e1989effc8641463e39af2a992b559b5c20646","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-05T15:05:32Z","title_canon_sha256":"12d3f278d3254dbeca92f59a37c4193f238715ec832d246eea7babaf7d619440"},"schema_version":"1.0","source":{"id":"1902.01729","kind":"arxiv","version":1}},"canonical_sha256":"b2cb8eab499d1c9031a3f597fe1e724f181aae7fe2f38fab1289296eb52a9e70","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2cb8eab499d1c9031a3f597fe1e724f181aae7fe2f38fab1289296eb52a9e70","first_computed_at":"2026-05-17T23:54:46.914094Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:46.914094Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EXR0ku6oFbXUpyJJiD+lpDCcqBjnE3BTpS7eiuV834nrwGSDT0uHp+/h5JC0A1o+ZBPIwUNCJLFkXxNv9KJCAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:46.914700Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.01729","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c43cce2f4429d03eb1e12f556dd32ddd685fea68e9d72e44fe30da7855825e66","sha256:3a0ca4b74ada9b4766b18281826f174f3870d75738db2b5804257501244599c4"],"state_sha256":"e897090e53874fe6fae3c28e78a8ea3c4a08556d4c10923e6aafaf75bdb0cd73"}