{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:YAZZPN6RDJLVPUN7JE6ELFWFYG","short_pith_number":"pith:YAZZPN6R","schema_version":"1.0","canonical_sha256":"c03397b7d11a5757d1bf493c4596c5c1b4402db6b539e7e44a336f7df81dabca","source":{"kind":"arxiv","id":"2606.19760","version":1},"attestation_state":"computed","paper":{"title":"Covariate-Adjusted Functional Principal Components Analysis for Modeling Hazard Rates of Physical Activity in the US Population","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"MD Rokibul Hasan, Pratim Guha Niyogi","submitted_at":"2026-06-18T03:43:09Z","abstract_excerpt":"Physical activity plays a vital role in human health. Its entire distribution differs among people. Commonly used summary measures cannot describe this distributional pattern. We present a distribution-based analytical approach to describe physical activity by modeling individual-level activity-intensity patterns through hazard functions derived from wrist-worn accelerometer data. We analyzed minute-level Monitor-Independent Movement Summary (MIMS) data of 4297 adults with seven continuous days of device wear from the 2011- 2012 National Health and Nutrition Examination Survey (NHANES). We der"},"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":"2606.19760","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-06-18T03:43:09Z","cross_cats_sorted":[],"title_canon_sha256":"153ab0b421eea7c1c1c2c41dea3703928a6f2014e5ebcc856021a1774db20192","abstract_canon_sha256":"c3a726beeb2da5578adf86a7704b6477297e2fb9b0f6c056fc7048fb96e07612"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:34.438594Z","signature_b64":"ySdi85XbeRdtrVALnRPn4vUdWWTrvK1BLwWzkzltP3UabaLI3Rz40e+gU7eCj4hEu/tT18Hq1AjdDgbojuVNDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c03397b7d11a5757d1bf493c4596c5c1b4402db6b539e7e44a336f7df81dabca","last_reissued_at":"2026-06-19T16:12:34.438243Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:34.438243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Covariate-Adjusted Functional Principal Components Analysis for Modeling Hazard Rates of Physical Activity in the US Population","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"MD Rokibul Hasan, Pratim Guha Niyogi","submitted_at":"2026-06-18T03:43:09Z","abstract_excerpt":"Physical activity plays a vital role in human health. Its entire distribution differs among people. Commonly used summary measures cannot describe this distributional pattern. We present a distribution-based analytical approach to describe physical activity by modeling individual-level activity-intensity patterns through hazard functions derived from wrist-worn accelerometer data. We analyzed minute-level Monitor-Independent Movement Summary (MIMS) data of 4297 adults with seven continuous days of device wear from the 2011- 2012 National Health and Nutrition Examination Survey (NHANES). We der"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19760","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.19760/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2606.19760","created_at":"2026-06-19T16:12:34.438301+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.19760v1","created_at":"2026-06-19T16:12:34.438301+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19760","created_at":"2026-06-19T16:12:34.438301+00:00"},{"alias_kind":"pith_short_12","alias_value":"YAZZPN6RDJLV","created_at":"2026-06-19T16:12:34.438301+00:00"},{"alias_kind":"pith_short_16","alias_value":"YAZZPN6RDJLVPUN7","created_at":"2026-06-19T16:12:34.438301+00:00"},{"alias_kind":"pith_short_8","alias_value":"YAZZPN6R","created_at":"2026-06-19T16:12:34.438301+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/YAZZPN6RDJLVPUN7JE6ELFWFYG","json":"https://pith.science/pith/YAZZPN6RDJLVPUN7JE6ELFWFYG.json","graph_json":"https://pith.science/api/pith-number/YAZZPN6RDJLVPUN7JE6ELFWFYG/graph.json","events_json":"https://pith.science/api/pith-number/YAZZPN6RDJLVPUN7JE6ELFWFYG/events.json","paper":"https://pith.science/paper/YAZZPN6R"},"agent_actions":{"view_html":"https://pith.science/pith/YAZZPN6RDJLVPUN7JE6ELFWFYG","download_json":"https://pith.science/pith/YAZZPN6RDJLVPUN7JE6ELFWFYG.json","view_paper":"https://pith.science/paper/YAZZPN6R","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.19760&json=true","fetch_graph":"https://pith.science/api/pith-number/YAZZPN6RDJLVPUN7JE6ELFWFYG/graph.json","fetch_events":"https://pith.science/api/pith-number/YAZZPN6RDJLVPUN7JE6ELFWFYG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YAZZPN6RDJLVPUN7JE6ELFWFYG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YAZZPN6RDJLVPUN7JE6ELFWFYG/action/storage_attestation","attest_author":"https://pith.science/pith/YAZZPN6RDJLVPUN7JE6ELFWFYG/action/author_attestation","sign_citation":"https://pith.science/pith/YAZZPN6RDJLVPUN7JE6ELFWFYG/action/citation_signature","submit_replication":"https://pith.science/pith/YAZZPN6RDJLVPUN7JE6ELFWFYG/action/replication_record"}},"created_at":"2026-06-19T16:12:34.438301+00:00","updated_at":"2026-06-19T16:12:34.438301+00:00"}