{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:BH45UUXYNVV4GDS5HYYMTDGGTJ","short_pith_number":"pith:BH45UUXY","schema_version":"1.0","canonical_sha256":"09f9da52f86d6bc30e5d3e30c98cc69a771449adcc7fb73e4c1e22de5b786e83","source":{"kind":"arxiv","id":"2107.00948","version":3},"attestation_state":"computed","paper":{"title":"From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.CY","cs.HC"],"primary_cat":"cs.LG","authors_text":"Daqing Zhang, Dejing Dou, Haoyi Xiong, Jie Zhang, Laura E. Barnes, Mehdi Boukhechba, Sijia Yang, Zhiyuan Wang","submitted_at":"2021-07-02T10:16:21Z","abstract_excerpt":"Mobile Sensing Apps have been widely used as a practical approach to collect behavioral and health-related information from individuals and provide timely intervention to promote health and well-beings, such as mental health and chronic cares. As the objectives of mobile sensing could be either \\emph{(a) personalized medicine for individuals} or \\emph{(b) public health for populations}, in this work we review the design of these mobile sensing apps, and propose to categorize the design of these apps/systems in two paradigms -- \\emph{(i) Personal Sensing} and \\emph{(ii) Crowd Sensing} paradigms"},"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":"2107.00948","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-02T10:16:21Z","cross_cats_sorted":["cs.CY","cs.HC"],"title_canon_sha256":"b8054dd230157bf3d7f1a865de3a2ddd7a7a0eb2ecf296ac78e023ac65c51ece","abstract_canon_sha256":"fe467e0e071abfeac23ba697816f53e7d2c582fea5425fa21c0a36408195ca39"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:23:20.892543Z","signature_b64":"EJIQa8OTlXJS6vZrrPA4AHcN0tFxRz4yMmpCayLTHQIVnNQGMY0xLsqtdRpuw2Q9Ds6Bk2UklyOWyVOkwuqUAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"09f9da52f86d6bc30e5d3e30c98cc69a771449adcc7fb73e4c1e22de5b786e83","last_reissued_at":"2026-07-05T04:23:20.892089Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:23:20.892089Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.CY","cs.HC"],"primary_cat":"cs.LG","authors_text":"Daqing Zhang, Dejing Dou, Haoyi Xiong, Jie Zhang, Laura E. Barnes, Mehdi Boukhechba, Sijia Yang, Zhiyuan Wang","submitted_at":"2021-07-02T10:16:21Z","abstract_excerpt":"Mobile Sensing Apps have been widely used as a practical approach to collect behavioral and health-related information from individuals and provide timely intervention to promote health and well-beings, such as mental health and chronic cares. As the objectives of mobile sensing could be either \\emph{(a) personalized medicine for individuals} or \\emph{(b) public health for populations}, in this work we review the design of these mobile sensing apps, and propose to categorize the design of these apps/systems in two paradigms -- \\emph{(i) Personal Sensing} and \\emph{(ii) Crowd Sensing} paradigms"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.00948","kind":"arxiv","version":3},"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/2107.00948/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":"2107.00948","created_at":"2026-07-05T04:23:20.892144+00:00"},{"alias_kind":"arxiv_version","alias_value":"2107.00948v3","created_at":"2026-07-05T04:23:20.892144+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.00948","created_at":"2026-07-05T04:23:20.892144+00:00"},{"alias_kind":"pith_short_12","alias_value":"BH45UUXYNVV4","created_at":"2026-07-05T04:23:20.892144+00:00"},{"alias_kind":"pith_short_16","alias_value":"BH45UUXYNVV4GDS5","created_at":"2026-07-05T04:23:20.892144+00:00"},{"alias_kind":"pith_short_8","alias_value":"BH45UUXY","created_at":"2026-07-05T04:23:20.892144+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/BH45UUXYNVV4GDS5HYYMTDGGTJ","json":"https://pith.science/pith/BH45UUXYNVV4GDS5HYYMTDGGTJ.json","graph_json":"https://pith.science/api/pith-number/BH45UUXYNVV4GDS5HYYMTDGGTJ/graph.json","events_json":"https://pith.science/api/pith-number/BH45UUXYNVV4GDS5HYYMTDGGTJ/events.json","paper":"https://pith.science/paper/BH45UUXY"},"agent_actions":{"view_html":"https://pith.science/pith/BH45UUXYNVV4GDS5HYYMTDGGTJ","download_json":"https://pith.science/pith/BH45UUXYNVV4GDS5HYYMTDGGTJ.json","view_paper":"https://pith.science/paper/BH45UUXY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2107.00948&json=true","fetch_graph":"https://pith.science/api/pith-number/BH45UUXYNVV4GDS5HYYMTDGGTJ/graph.json","fetch_events":"https://pith.science/api/pith-number/BH45UUXYNVV4GDS5HYYMTDGGTJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BH45UUXYNVV4GDS5HYYMTDGGTJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BH45UUXYNVV4GDS5HYYMTDGGTJ/action/storage_attestation","attest_author":"https://pith.science/pith/BH45UUXYNVV4GDS5HYYMTDGGTJ/action/author_attestation","sign_citation":"https://pith.science/pith/BH45UUXYNVV4GDS5HYYMTDGGTJ/action/citation_signature","submit_replication":"https://pith.science/pith/BH45UUXYNVV4GDS5HYYMTDGGTJ/action/replication_record"}},"created_at":"2026-07-05T04:23:20.892144+00:00","updated_at":"2026-07-05T04:23:20.892144+00:00"}