{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:LXWAFGS5K2QZZDVONNJCNWLCHI","short_pith_number":"pith:LXWAFGS5","canonical_record":{"source":{"id":"2211.02733","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-11-04T20:16:59Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"70a148ed4f29ca9a342b1475ef57404e5c7eb62a401e492e309c0aa1c11dda88","abstract_canon_sha256":"3194ce73e130d08eda063c1ffcfde13e9c9accf299d80d7c0c0e922463f7c5db"},"schema_version":"1.0"},"canonical_sha256":"5dec029a5d56a19c8eae6b5226d9623a206e70a141d71add1eb29d16aef47c27","source":{"kind":"arxiv","id":"2211.02733","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.02733","created_at":"2026-07-05T05:48:03Z"},{"alias_kind":"arxiv_version","alias_value":"2211.02733v2","created_at":"2026-07-05T05:48:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.02733","created_at":"2026-07-05T05:48:03Z"},{"alias_kind":"pith_short_12","alias_value":"LXWAFGS5K2QZ","created_at":"2026-07-05T05:48:03Z"},{"alias_kind":"pith_short_16","alias_value":"LXWAFGS5K2QZZDVO","created_at":"2026-07-05T05:48:03Z"},{"alias_kind":"pith_short_8","alias_value":"LXWAFGS5","created_at":"2026-07-05T05:48:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:LXWAFGS5K2QZZDVONNJCNWLCHI","target":"record","payload":{"canonical_record":{"source":{"id":"2211.02733","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-11-04T20:16:59Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"70a148ed4f29ca9a342b1475ef57404e5c7eb62a401e492e309c0aa1c11dda88","abstract_canon_sha256":"3194ce73e130d08eda063c1ffcfde13e9c9accf299d80d7c0c0e922463f7c5db"},"schema_version":"1.0"},"canonical_sha256":"5dec029a5d56a19c8eae6b5226d9623a206e70a141d71add1eb29d16aef47c27","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:48:03.071613Z","signature_b64":"09ugHX299hKBjac/k0/tswxX4DLtkMIk+UC05Cd1z4kvjoGByWuD3i06uZXURtFjT3zxNneTQabGhE4vj53nAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5dec029a5d56a19c8eae6b5226d9623a206e70a141d71add1eb29d16aef47c27","last_reissued_at":"2026-07-05T05:48:03.071112Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:48:03.071112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.02733","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:48:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KORIVMOxB0T62Tay/+rEuSTDSqHnAc60M2M4/b5m5f+oyAXFJccK8ZXB0xLe6kL6Z9y17L478pmwjfBjRBjsCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:31:07.806788Z"},"content_sha256":"8ae5f1d64ee2d20a0daedf95d736836ccf361a382675082f7b90a666831ac6da","schema_version":"1.0","event_id":"sha256:8ae5f1d64ee2d20a0daedf95d736836ccf361a382675082f7b90a666831ac6da"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:LXWAFGS5K2QZZDVONNJCNWLCHI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.LG","authors_text":"Anind K. Dey, Eve Riskin, Han Zhang, Jennifer Brown, Jennifer Mankoff, Kevin Kuehn, Margaret E. Morris, Mike Merrill, Paula Nurius, Shwetak Patel, Tim Althoff, Woosuk Seo, Xin Liu, Xuhai Xu, Yasaman Sefidgar, Yiyi Ren","submitted_at":"2022-11-04T20:16:59Z","abstract_excerpt":"Recent research has demonstrated the capability of behavior signals captured by smartphones and wearables for longitudinal behavior modeling. However, there is a lack of a comprehensive public dataset that serves as an open testbed for fair comparison among algorithms. Moreover, prior studies mainly evaluate algorithms using data from a single population within a short period, without measuring the cross-dataset generalizability of these algorithms. We present the first multi-year passive sensing datasets, containing over 700 user-years and 497 unique users' data collected from mobile and wear"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.02733","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2211.02733/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:48:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zSZQfZqdP4lgyHHrsyaW1IOh6wJKZ+BRmCE/3VBiIJJj3gRsPmsUTLlXAVx14FRXB7JLla+u7EUpTXoff1jNDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:31:07.807274Z"},"content_sha256":"4ba6588fb0d06935197a7b523e201501e65b79033c2ccbc4e48538a79e93c5f3","schema_version":"1.0","event_id":"sha256:4ba6588fb0d06935197a7b523e201501e65b79033c2ccbc4e48538a79e93c5f3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LXWAFGS5K2QZZDVONNJCNWLCHI/bundle.json","state_url":"https://pith.science/pith/LXWAFGS5K2QZZDVONNJCNWLCHI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LXWAFGS5K2QZZDVONNJCNWLCHI/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T18:31:07Z","links":{"resolver":"https://pith.science/pith/LXWAFGS5K2QZZDVONNJCNWLCHI","bundle":"https://pith.science/pith/LXWAFGS5K2QZZDVONNJCNWLCHI/bundle.json","state":"https://pith.science/pith/LXWAFGS5K2QZZDVONNJCNWLCHI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LXWAFGS5K2QZZDVONNJCNWLCHI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:LXWAFGS5K2QZZDVONNJCNWLCHI","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"3194ce73e130d08eda063c1ffcfde13e9c9accf299d80d7c0c0e922463f7c5db","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-11-04T20:16:59Z","title_canon_sha256":"70a148ed4f29ca9a342b1475ef57404e5c7eb62a401e492e309c0aa1c11dda88"},"schema_version":"1.0","source":{"id":"2211.02733","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.02733","created_at":"2026-07-05T05:48:03Z"},{"alias_kind":"arxiv_version","alias_value":"2211.02733v2","created_at":"2026-07-05T05:48:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.02733","created_at":"2026-07-05T05:48:03Z"},{"alias_kind":"pith_short_12","alias_value":"LXWAFGS5K2QZ","created_at":"2026-07-05T05:48:03Z"},{"alias_kind":"pith_short_16","alias_value":"LXWAFGS5K2QZZDVO","created_at":"2026-07-05T05:48:03Z"},{"alias_kind":"pith_short_8","alias_value":"LXWAFGS5","created_at":"2026-07-05T05:48:03Z"}],"graph_snapshots":[{"event_id":"sha256:4ba6588fb0d06935197a7b523e201501e65b79033c2ccbc4e48538a79e93c5f3","target":"graph","created_at":"2026-07-05T05:48:03Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2211.02733/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent research has demonstrated the capability of behavior signals captured by smartphones and wearables for longitudinal behavior modeling. However, there is a lack of a comprehensive public dataset that serves as an open testbed for fair comparison among algorithms. Moreover, prior studies mainly evaluate algorithms using data from a single population within a short period, without measuring the cross-dataset generalizability of these algorithms. We present the first multi-year passive sensing datasets, containing over 700 user-years and 497 unique users' data collected from mobile and wear","authors_text":"Anind K. Dey, Eve Riskin, Han Zhang, Jennifer Brown, Jennifer Mankoff, Kevin Kuehn, Margaret E. Morris, Mike Merrill, Paula Nurius, Shwetak Patel, Tim Althoff, Woosuk Seo, Xin Liu, Xuhai Xu, Yasaman Sefidgar, Yiyi Ren","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-11-04T20:16:59Z","title":"GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.02733","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:8ae5f1d64ee2d20a0daedf95d736836ccf361a382675082f7b90a666831ac6da","target":"record","created_at":"2026-07-05T05:48:03Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"3194ce73e130d08eda063c1ffcfde13e9c9accf299d80d7c0c0e922463f7c5db","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-11-04T20:16:59Z","title_canon_sha256":"70a148ed4f29ca9a342b1475ef57404e5c7eb62a401e492e309c0aa1c11dda88"},"schema_version":"1.0","source":{"id":"2211.02733","kind":"arxiv","version":2}},"canonical_sha256":"5dec029a5d56a19c8eae6b5226d9623a206e70a141d71add1eb29d16aef47c27","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5dec029a5d56a19c8eae6b5226d9623a206e70a141d71add1eb29d16aef47c27","first_computed_at":"2026-07-05T05:48:03.071112Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:48:03.071112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"09ugHX299hKBjac/k0/tswxX4DLtkMIk+UC05Cd1z4kvjoGByWuD3i06uZXURtFjT3zxNneTQabGhE4vj53nAg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:48:03.071613Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.02733","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ae5f1d64ee2d20a0daedf95d736836ccf361a382675082f7b90a666831ac6da","sha256:4ba6588fb0d06935197a7b523e201501e65b79033c2ccbc4e48538a79e93c5f3"],"state_sha256":"1bdae0d5add5fd00ae15b0e65a184d67c294b2f39bbc7fe7ff7596e02618bbc7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fGMqi57+x5nu5QjIduR6rUyN7FjMAEWZ+A4elRBmqEYHfi2Usi6eUUCrHM3f/UyhM6VbVpjftnBczSEnJDxcCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T18:31:07.810724Z","bundle_sha256":"c9434ea137d7ae3f1ee562ab90a5ddbbb41423b48fbd26944f94d5c40bc2910b"}}