{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:YMHUU4LI5ZJCA6TGLNMW3B7JVH","short_pith_number":"pith:YMHUU4LI","schema_version":"1.0","canonical_sha256":"c30f4a7168ee52207a665b596d87e9a9d4920c1c640da7b16396f1cb35e6c970","source":{"kind":"arxiv","id":"2011.12102","version":1},"attestation_state":"computed","paper":{"title":"Do You Live a Healthy Life? Analyzing Lifestyle by Visual Life Logging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hongyu Shen, Mingtao Pei, Qing Gao","submitted_at":"2020-11-24T14:20:12Z","abstract_excerpt":"A healthy lifestyle is the key to better health and happiness and has a considerable effect on quality of life and disease prevention. Current lifelogging/egocentric datasets are not suitable for lifestyle analysis; consequently, there is no research on lifestyle analysis in the field of computer vision. In this work, we investigate the problem of lifestyle analysis and build a visual lifelogging dataset for lifestyle analysis (VLDLA). The VLDLA contains images captured by a wearable camera every 3 seconds from 8:00 am to 6:00 pm for seven days. In contrast to current lifelogging/egocentric da"},"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":"2011.12102","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-24T14:20:12Z","cross_cats_sorted":[],"title_canon_sha256":"c4caee6047bf9ac623c5d3460cb70c00ea852cb3af8e02ede573c2bee21933d1","abstract_canon_sha256":"1cfa4b7772db775296cadd2b8082562b0e2e6074013d1109d93fe37e131b9c5b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:54:07.992731Z","signature_b64":"2EMyVLRXKLR/vKw1CAefiX/GYO3XMMRkk/Y8bzjRJf51nfjacGumVLOK0FcmOatLCYobm5ARjPMmrYtqdgpnCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c30f4a7168ee52207a665b596d87e9a9d4920c1c640da7b16396f1cb35e6c970","last_reissued_at":"2026-07-05T01:54:07.992398Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:54:07.992398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Do You Live a Healthy Life? Analyzing Lifestyle by Visual Life Logging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hongyu Shen, Mingtao Pei, Qing Gao","submitted_at":"2020-11-24T14:20:12Z","abstract_excerpt":"A healthy lifestyle is the key to better health and happiness and has a considerable effect on quality of life and disease prevention. Current lifelogging/egocentric datasets are not suitable for lifestyle analysis; consequently, there is no research on lifestyle analysis in the field of computer vision. In this work, we investigate the problem of lifestyle analysis and build a visual lifelogging dataset for lifestyle analysis (VLDLA). The VLDLA contains images captured by a wearable camera every 3 seconds from 8:00 am to 6:00 pm for seven days. In contrast to current lifelogging/egocentric da"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.12102","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/2011.12102/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":"2011.12102","created_at":"2026-07-05T01:54:07.992453+00:00"},{"alias_kind":"arxiv_version","alias_value":"2011.12102v1","created_at":"2026-07-05T01:54:07.992453+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.12102","created_at":"2026-07-05T01:54:07.992453+00:00"},{"alias_kind":"pith_short_12","alias_value":"YMHUU4LI5ZJC","created_at":"2026-07-05T01:54:07.992453+00:00"},{"alias_kind":"pith_short_16","alias_value":"YMHUU4LI5ZJCA6TG","created_at":"2026-07-05T01:54:07.992453+00:00"},{"alias_kind":"pith_short_8","alias_value":"YMHUU4LI","created_at":"2026-07-05T01:54:07.992453+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/YMHUU4LI5ZJCA6TGLNMW3B7JVH","json":"https://pith.science/pith/YMHUU4LI5ZJCA6TGLNMW3B7JVH.json","graph_json":"https://pith.science/api/pith-number/YMHUU4LI5ZJCA6TGLNMW3B7JVH/graph.json","events_json":"https://pith.science/api/pith-number/YMHUU4LI5ZJCA6TGLNMW3B7JVH/events.json","paper":"https://pith.science/paper/YMHUU4LI"},"agent_actions":{"view_html":"https://pith.science/pith/YMHUU4LI5ZJCA6TGLNMW3B7JVH","download_json":"https://pith.science/pith/YMHUU4LI5ZJCA6TGLNMW3B7JVH.json","view_paper":"https://pith.science/paper/YMHUU4LI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2011.12102&json=true","fetch_graph":"https://pith.science/api/pith-number/YMHUU4LI5ZJCA6TGLNMW3B7JVH/graph.json","fetch_events":"https://pith.science/api/pith-number/YMHUU4LI5ZJCA6TGLNMW3B7JVH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YMHUU4LI5ZJCA6TGLNMW3B7JVH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YMHUU4LI5ZJCA6TGLNMW3B7JVH/action/storage_attestation","attest_author":"https://pith.science/pith/YMHUU4LI5ZJCA6TGLNMW3B7JVH/action/author_attestation","sign_citation":"https://pith.science/pith/YMHUU4LI5ZJCA6TGLNMW3B7JVH/action/citation_signature","submit_replication":"https://pith.science/pith/YMHUU4LI5ZJCA6TGLNMW3B7JVH/action/replication_record"}},"created_at":"2026-07-05T01:54:07.992453+00:00","updated_at":"2026-07-05T01:54:07.992453+00:00"}