{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:66BB5L5WDH6OQDBEUYRLRPTFTR","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":"e3a8af9d36418b0efa593cef45b4dab141db160a1a62ebdd9b87df0de5b50e48","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2018-03-27T19:49:56Z","title_canon_sha256":"e87d7a7b3de9421da65424aece504e64574770cf43c2c78156740b6697c3a910"},"schema_version":"1.0","source":{"id":"1803.10290","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.10290","created_at":"2026-05-17T23:56:34Z"},{"alias_kind":"arxiv_version","alias_value":"1803.10290v2","created_at":"2026-05-17T23:56:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.10290","created_at":"2026-05-17T23:56:34Z"},{"alias_kind":"pith_short_12","alias_value":"66BB5L5WDH6O","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"66BB5L5WDH6OQDBE","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"66BB5L5W","created_at":"2026-05-18T12:32:08Z"}],"graph_snapshots":[{"event_id":"sha256:6254f2b4be5d646c44f24b52f9f5b178574a575ec60bb92c60de7ff238920299","target":"graph","created_at":"2026-05-17T23:56:34Z","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":"Dimension reduction is often an important step in the analysis of high-dimensional data. PCA is a popular technique to find the best low-dimensional approximation of high-dimensional data. However, classical PCA is very sensitive to atypical data. Robust methods to estimate the low-dimensional subspace that best approximates the regular data have been proposed. However, for high-dimensional data his algorithms become computationally expensive. Alternative algorithms for the robust subspace estimators are proposed that are better suited to compute the solution for high-dimensional problems. The","authors_text":"Holger Cevallos-Valdiviezo, Stefan Van Aelst","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2018-03-27T19:49:56Z","title":"Fast Computation of Robust Subspace Estimators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.10290","kind":"arxiv","version":2},"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:a8714fbc6304b3c66a8111dc63101e86a50ce06d895c4e9f7b8bc7389138ab61","target":"record","created_at":"2026-05-17T23:56:34Z","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":"e3a8af9d36418b0efa593cef45b4dab141db160a1a62ebdd9b87df0de5b50e48","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2018-03-27T19:49:56Z","title_canon_sha256":"e87d7a7b3de9421da65424aece504e64574770cf43c2c78156740b6697c3a910"},"schema_version":"1.0","source":{"id":"1803.10290","kind":"arxiv","version":2}},"canonical_sha256":"f7821eafb619fce80c24a622b8be659c5b2788b1571df8276c3f2a3d02ec6cc7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7821eafb619fce80c24a622b8be659c5b2788b1571df8276c3f2a3d02ec6cc7","first_computed_at":"2026-05-17T23:56:34.072880Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:34.072880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BSKR2x7SG7X/du6JJ2gF//UyjZMoE/RtTmJcZYAARyYHO5cGgcFLp8Gr1JoRkq6nmGl6ByT0JY+G6tgrGfx6Dg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:34.073605Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.10290","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a8714fbc6304b3c66a8111dc63101e86a50ce06d895c4e9f7b8bc7389138ab61","sha256:6254f2b4be5d646c44f24b52f9f5b178574a575ec60bb92c60de7ff238920299"],"state_sha256":"b64fbb62d32b44a8697823d356818ce314cc5b40e262e078926cd98452568602"}