{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:EFEENPPYNM3Z2SDNNBY6YAEEFI","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":"68b1e5e9cb5b9223e3f257f49d987e11ccf129c149b160d786ff8a20c9a17c3b","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-25T13:27:27Z","title_canon_sha256":"316553cf3880c7c91ce006bcfe67bb0d9d6660b91d40dc3dc249e5c5ed35420d"},"schema_version":"1.0","source":{"id":"1905.00702","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.00702","created_at":"2026-05-17T23:46:25Z"},{"alias_kind":"arxiv_version","alias_value":"1905.00702v2","created_at":"2026-05-17T23:46:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.00702","created_at":"2026-05-17T23:46:25Z"},{"alias_kind":"pith_short_12","alias_value":"EFEENPPYNM3Z","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"EFEENPPYNM3Z2SDN","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"EFEENPPY","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:0d4fc06b146e4f6387128010228d79f0f0e04fd32d5c2f25d5f0189ce3aec7d9","target":"graph","created_at":"2026-05-17T23:46:25Z","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"},"paper":{"abstract_excerpt":"Recent years have witnessed the world-wide emergence of mega-metropolises with incredibly huge populations. Understanding residents mobility patterns, or urban dynamics, thus becomes crucial for building modern smart cities. In this paper, we propose a Neighbor-Regularized and context-aware Non-negative Tensor Factorization model (NR-cNTF) to discover interpretable urban dynamics from urban heterogeneous data. Different from many existing studies concerned with prediction tasks via tensor completion, NR-cNTF focuses on gaining urban managerial insights from spatial, temporal, and spatio-tempor","authors_text":"Fei Gao, Jingyuan Wang, Junjie Wu, Ze Wang, Zhang Xiong","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-25T13:27:27Z","title":"Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.00702","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:c35daa1c4cf40661d36ac76c5c003d31c2596fc1bd1b026e74947131ebaa8b96","target":"record","created_at":"2026-05-17T23:46:25Z","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":"68b1e5e9cb5b9223e3f257f49d987e11ccf129c149b160d786ff8a20c9a17c3b","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-25T13:27:27Z","title_canon_sha256":"316553cf3880c7c91ce006bcfe67bb0d9d6660b91d40dc3dc249e5c5ed35420d"},"schema_version":"1.0","source":{"id":"1905.00702","kind":"arxiv","version":2}},"canonical_sha256":"214846bdf86b379d486d6871ec00842a1db3e40a6d2475d63ea20ebaed9cda56","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"214846bdf86b379d486d6871ec00842a1db3e40a6d2475d63ea20ebaed9cda56","first_computed_at":"2026-05-17T23:46:25.615163Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:25.615163Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ORk5k9xJmiOKjOehkr8JxjS0SaLgtShAkD5jggYFGmf1IQmPGgZTTrvcHG+uH1fz9RgnhTCV+1DkqC62B4y/Bg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:25.615861Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.00702","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c35daa1c4cf40661d36ac76c5c003d31c2596fc1bd1b026e74947131ebaa8b96","sha256:0d4fc06b146e4f6387128010228d79f0f0e04fd32d5c2f25d5f0189ce3aec7d9"],"state_sha256":"2d155c6c17d59b9b389b092c223f56a5fd772d87d9cc02032d1464613e633f08"}