{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:MLK6JTRTLB4BYTECTXKVZQYNRD","short_pith_number":"pith:MLK6JTRT","schema_version":"1.0","canonical_sha256":"62d5e4ce3358781c4c829dd55cc30d88ef6afd1b4642bbc311992cb0ff0d5b7f","source":{"kind":"arxiv","id":"1805.08512","version":2},"attestation_state":"computed","paper":{"title":"Non-parametric Structural Change Detection in Multivariate Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Lauri Viitasaari, Olga Gorskikh, Pauliina Ilmonen, Pekka Malo","submitted_at":"2018-05-22T11:40:32Z","abstract_excerpt":"Structural change detection problems are often encountered in analytics and econometrics, where the performance of a model can be significantly affected by unforeseen changes in the underlying relationships. Although these problems have a comparatively long history in statistics, the number of studies done in the context of multivariate data under nonparametric settings is still small. In this paper, we propose a consistent method for detecting multiple structural changes in a system of related regressions over a large dimensional variable space. In most applications, practitioners also do not"},"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":"1805.08512","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-05-22T11:40:32Z","cross_cats_sorted":[],"title_canon_sha256":"1996d6722ff07ada4b916bdb89600f8d52a625cc95db4ec65df1c62318175b36","abstract_canon_sha256":"10a56b7b1ca9592936f8b568ca67644e00704b92639ec3a9c76a475f757acd81"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:59.526277Z","signature_b64":"SdqVvV7m2IeLWfxsVy5vZ132Rj8em3LG+QfTzVBe/yB6TFJeXLi2VnZarLh8S6EiiUPIr7YCdX7F2gPoWzr2AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"62d5e4ce3358781c4c829dd55cc30d88ef6afd1b4642bbc311992cb0ff0d5b7f","last_reissued_at":"2026-05-17T23:44:59.525757Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:59.525757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Non-parametric Structural Change Detection in Multivariate Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Lauri Viitasaari, Olga Gorskikh, Pauliina Ilmonen, Pekka Malo","submitted_at":"2018-05-22T11:40:32Z","abstract_excerpt":"Structural change detection problems are often encountered in analytics and econometrics, where the performance of a model can be significantly affected by unforeseen changes in the underlying relationships. Although these problems have a comparatively long history in statistics, the number of studies done in the context of multivariate data under nonparametric settings is still small. In this paper, we propose a consistent method for detecting multiple structural changes in a system of related regressions over a large dimensional variable space. In most applications, practitioners also do not"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.08512","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":""},"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":"1805.08512","created_at":"2026-05-17T23:44:59.525830+00:00"},{"alias_kind":"arxiv_version","alias_value":"1805.08512v2","created_at":"2026-05-17T23:44:59.525830+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.08512","created_at":"2026-05-17T23:44:59.525830+00:00"},{"alias_kind":"pith_short_12","alias_value":"MLK6JTRTLB4B","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_16","alias_value":"MLK6JTRTLB4BYTEC","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_8","alias_value":"MLK6JTRT","created_at":"2026-05-18T12:32:37.024351+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/MLK6JTRTLB4BYTECTXKVZQYNRD","json":"https://pith.science/pith/MLK6JTRTLB4BYTECTXKVZQYNRD.json","graph_json":"https://pith.science/api/pith-number/MLK6JTRTLB4BYTECTXKVZQYNRD/graph.json","events_json":"https://pith.science/api/pith-number/MLK6JTRTLB4BYTECTXKVZQYNRD/events.json","paper":"https://pith.science/paper/MLK6JTRT"},"agent_actions":{"view_html":"https://pith.science/pith/MLK6JTRTLB4BYTECTXKVZQYNRD","download_json":"https://pith.science/pith/MLK6JTRTLB4BYTECTXKVZQYNRD.json","view_paper":"https://pith.science/paper/MLK6JTRT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1805.08512&json=true","fetch_graph":"https://pith.science/api/pith-number/MLK6JTRTLB4BYTECTXKVZQYNRD/graph.json","fetch_events":"https://pith.science/api/pith-number/MLK6JTRTLB4BYTECTXKVZQYNRD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MLK6JTRTLB4BYTECTXKVZQYNRD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MLK6JTRTLB4BYTECTXKVZQYNRD/action/storage_attestation","attest_author":"https://pith.science/pith/MLK6JTRTLB4BYTECTXKVZQYNRD/action/author_attestation","sign_citation":"https://pith.science/pith/MLK6JTRTLB4BYTECTXKVZQYNRD/action/citation_signature","submit_replication":"https://pith.science/pith/MLK6JTRTLB4BYTECTXKVZQYNRD/action/replication_record"}},"created_at":"2026-05-17T23:44:59.525830+00:00","updated_at":"2026-05-17T23:44:59.525830+00:00"}