{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:JG7ODLQ2PLOEADNYLAR6R4EYIL","short_pith_number":"pith:JG7ODLQ2","schema_version":"1.0","canonical_sha256":"49bee1ae1a7adc400db85823e8f09842ee67e138ebcd1afecfeca7b5219f5634","source":{"kind":"arxiv","id":"1301.2894","version":1},"attestation_state":"computed","paper":{"title":"Evaluating stationarity via change-point alternatives with applications to fMRI data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Claudia Kirch, John A. D. Aston","submitted_at":"2013-01-14T09:25:32Z","abstract_excerpt":"Functional magnetic resonance imaging (fMRI) is now a well-established technique for studying the brain. However, in many situations, such as when data are acquired in a resting state, it is difficult to know whether the data are truly stationary or if level shifts have occurred. To this end, change-point detection in sequences of functional data is examined where the functional observations are dependent and where the distributions of change-points from multiple subjects are required. Of particular interest is the case where the change-point is an epidemic change---a change occurs and then th"},"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":"1301.2894","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2013-01-14T09:25:32Z","cross_cats_sorted":[],"title_canon_sha256":"c3abe0da775141623fb19e718562f45bc4b407fc1c3345a6c072bfa7049a8610","abstract_canon_sha256":"3d8f3d3ccb8cbb2ad00d2ddeb7ec22b92ff839d760fc470d0facacee0cce3bdf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:36:34.755516Z","signature_b64":"4EWQIF/hQ7U9w7zGsmjDiH60gJ00nv7HD9T2CSP4/FeLmEvORtnZ7c+q6iAdIrOcJ4p0yljHI+MuVGFbVx6YDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"49bee1ae1a7adc400db85823e8f09842ee67e138ebcd1afecfeca7b5219f5634","last_reissued_at":"2026-05-18T03:36:34.754652Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:36:34.754652Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evaluating stationarity via change-point alternatives with applications to fMRI data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Claudia Kirch, John A. D. Aston","submitted_at":"2013-01-14T09:25:32Z","abstract_excerpt":"Functional magnetic resonance imaging (fMRI) is now a well-established technique for studying the brain. However, in many situations, such as when data are acquired in a resting state, it is difficult to know whether the data are truly stationary or if level shifts have occurred. To this end, change-point detection in sequences of functional data is examined where the functional observations are dependent and where the distributions of change-points from multiple subjects are required. Of particular interest is the case where the change-point is an epidemic change---a change occurs and then th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1301.2894","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":"1301.2894","created_at":"2026-05-18T03:36:34.754825+00:00"},{"alias_kind":"arxiv_version","alias_value":"1301.2894v1","created_at":"2026-05-18T03:36:34.754825+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1301.2894","created_at":"2026-05-18T03:36:34.754825+00:00"},{"alias_kind":"pith_short_12","alias_value":"JG7ODLQ2PLOE","created_at":"2026-05-18T12:27:49.015174+00:00"},{"alias_kind":"pith_short_16","alias_value":"JG7ODLQ2PLOEADNY","created_at":"2026-05-18T12:27:49.015174+00:00"},{"alias_kind":"pith_short_8","alias_value":"JG7ODLQ2","created_at":"2026-05-18T12:27:49.015174+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/JG7ODLQ2PLOEADNYLAR6R4EYIL","json":"https://pith.science/pith/JG7ODLQ2PLOEADNYLAR6R4EYIL.json","graph_json":"https://pith.science/api/pith-number/JG7ODLQ2PLOEADNYLAR6R4EYIL/graph.json","events_json":"https://pith.science/api/pith-number/JG7ODLQ2PLOEADNYLAR6R4EYIL/events.json","paper":"https://pith.science/paper/JG7ODLQ2"},"agent_actions":{"view_html":"https://pith.science/pith/JG7ODLQ2PLOEADNYLAR6R4EYIL","download_json":"https://pith.science/pith/JG7ODLQ2PLOEADNYLAR6R4EYIL.json","view_paper":"https://pith.science/paper/JG7ODLQ2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1301.2894&json=true","fetch_graph":"https://pith.science/api/pith-number/JG7ODLQ2PLOEADNYLAR6R4EYIL/graph.json","fetch_events":"https://pith.science/api/pith-number/JG7ODLQ2PLOEADNYLAR6R4EYIL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JG7ODLQ2PLOEADNYLAR6R4EYIL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JG7ODLQ2PLOEADNYLAR6R4EYIL/action/storage_attestation","attest_author":"https://pith.science/pith/JG7ODLQ2PLOEADNYLAR6R4EYIL/action/author_attestation","sign_citation":"https://pith.science/pith/JG7ODLQ2PLOEADNYLAR6R4EYIL/action/citation_signature","submit_replication":"https://pith.science/pith/JG7ODLQ2PLOEADNYLAR6R4EYIL/action/replication_record"}},"created_at":"2026-05-18T03:36:34.754825+00:00","updated_at":"2026-05-18T03:36:34.754825+00:00"}