{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:3ONLWMDRLVHDYS4F2XXAIDAWK7","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":"7f8e123e5e3227b4d55ec5caadd34786e0ab07088e61232559c5770740579760","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-05T14:31:00Z","title_canon_sha256":"b0bc6a2041f5afecf20db1fa29016d35ea1d35fef61eb43d1c2c99bda7effca3"},"schema_version":"1.0","source":{"id":"2011.03042","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.03042","created_at":"2026-07-05T01:49:39Z"},{"alias_kind":"arxiv_version","alias_value":"2011.03042v1","created_at":"2026-07-05T01:49:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.03042","created_at":"2026-07-05T01:49:39Z"},{"alias_kind":"pith_short_12","alias_value":"3ONLWMDRLVHD","created_at":"2026-07-05T01:49:39Z"},{"alias_kind":"pith_short_16","alias_value":"3ONLWMDRLVHDYS4F","created_at":"2026-07-05T01:49:39Z"},{"alias_kind":"pith_short_8","alias_value":"3ONLWMDR","created_at":"2026-07-05T01:49:39Z"}],"graph_snapshots":[{"event_id":"sha256:10eab4071e95023bee89a1b1e9cb7eadb4766e4b345683decc928b18f80f909f","target":"graph","created_at":"2026-07-05T01:49:39Z","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/2011.03042/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the propagation of sensor devices applied in smart home, activity recognition has ignited huge interest and most existing works assume that there is only one habitant. While in reality, there are generally multiple residents at home, which brings greater challenge to recognize activities. In addition, many conventional approaches rely on manual time series data segmentation ignoring the inherent characteristics of events and their heuristic hand-crafted feature generation algorithms are difficult to exploit distinctive features to accurately classify different activities. To address these","authors_text":"Fukang Guo, Jingjing Cao, Jinshan Dai, Qiang Zhou, Xin Lai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-05T14:31:00Z","title":"A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.03042","kind":"arxiv","version":1},"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":"sha256:09f57575c10c323a85d7d460a9eb2df8cf7cc284a21febd4ed4a4994cf3a2c6e","target":"record","created_at":"2026-07-05T01:49:39Z","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":"7f8e123e5e3227b4d55ec5caadd34786e0ab07088e61232559c5770740579760","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-05T14:31:00Z","title_canon_sha256":"b0bc6a2041f5afecf20db1fa29016d35ea1d35fef61eb43d1c2c99bda7effca3"},"schema_version":"1.0","source":{"id":"2011.03042","kind":"arxiv","version":1}},"canonical_sha256":"db9abb30715d4e3c4b85d5ee040c1657f3dc9834ee61f6d95f4a3aada0913b59","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db9abb30715d4e3c4b85d5ee040c1657f3dc9834ee61f6d95f4a3aada0913b59","first_computed_at":"2026-07-05T01:49:39.702718Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:49:39.702718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9BTFf+RZIESZubAxDp/3JFW6DGCnZiL/qnkFQNxv9fPt62OJwsdrAzEc75z/g1Al6MxxYIEllxeYQzHdekUVBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:49:39.703060Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.03042","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:09f57575c10c323a85d7d460a9eb2df8cf7cc284a21febd4ed4a4994cf3a2c6e","sha256:10eab4071e95023bee89a1b1e9cb7eadb4766e4b345683decc928b18f80f909f"],"state_sha256":"7edb62ebcaa5a96eb761ef52341800ff3fb26bf43b8baf83a26a4162aa614074"}