{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:4NRJYFBYO5L3XH4GVHXOS5EHXV","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":"21797b0007f1f1b3b1ab4a9c2a8aad47785185d65fc9332eb88c4bbbd86d6c47","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-02-01T16:26:51Z","title_canon_sha256":"a6ddf2d15578b6646a2bbc35df343754bafba3123e80c24e9182d01ff83dea81"},"schema_version":"1.0","source":{"id":"1902.00440","kind":"arxiv","version":7}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00440","created_at":"2026-07-05T03:08:17Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00440v7","created_at":"2026-07-05T03:08:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00440","created_at":"2026-07-05T03:08:17Z"},{"alias_kind":"pith_short_12","alias_value":"4NRJYFBYO5L3","created_at":"2026-07-05T03:08:17Z"},{"alias_kind":"pith_short_16","alias_value":"4NRJYFBYO5L3XH4G","created_at":"2026-07-05T03:08:17Z"},{"alias_kind":"pith_short_8","alias_value":"4NRJYFBY","created_at":"2026-07-05T03:08:17Z"}],"graph_snapshots":[{"event_id":"sha256:5563a26413f4e9c70f517866b765860e3a4891e00a6f5f7b661dd2e87d82db94","target":"graph","created_at":"2026-07-05T03:08:17Z","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/1902.00440/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Crimes emerge out of complex interactions of human behaviors and situations. Linkages between crime incidents are highly complex. Detecting crime linkage given a set of incidents is a highly challenging task since we only have limited information, including text descriptions, incident times, and locations. In practice, there are very few labels. We propose a new statistical modeling framework for {\\it spatio-temporal-textual} data and demonstrate its usage on crime linkage detection. We capture linkages of crime incidents via multivariate marked spatio-temporal Hawkes processes and treat embed","authors_text":"Shixiang Zhu, Yao Xie","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-02-01T16:26:51Z","title":"Spatial-Temporal-Textual Point Processes for Crime Linkage Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00440","kind":"arxiv","version":7},"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:e6d72d24fefb8dc7ae0bf0cd0ae46c718610e34f94c76cb8a77f95e43c1dd2f3","target":"record","created_at":"2026-07-05T03:08:17Z","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":"21797b0007f1f1b3b1ab4a9c2a8aad47785185d65fc9332eb88c4bbbd86d6c47","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-02-01T16:26:51Z","title_canon_sha256":"a6ddf2d15578b6646a2bbc35df343754bafba3123e80c24e9182d01ff83dea81"},"schema_version":"1.0","source":{"id":"1902.00440","kind":"arxiv","version":7}},"canonical_sha256":"e3629c14387757bb9f86a9eee97487bd6b9a23c04d47ed80a0e815aa1c4a5e92","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e3629c14387757bb9f86a9eee97487bd6b9a23c04d47ed80a0e815aa1c4a5e92","first_computed_at":"2026-07-05T03:08:17.849554Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:08:17.849554Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JnMCQeolmd39B0Vg0EdMghJyAicm/c+gWjhBUeAPeXE3w3tf8ZaBo8FzIgMJMWt7Kmtnl/dxzf281SQlQLCxDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:08:17.849995Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.00440","source_kind":"arxiv","source_version":7}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e6d72d24fefb8dc7ae0bf0cd0ae46c718610e34f94c76cb8a77f95e43c1dd2f3","sha256:5563a26413f4e9c70f517866b765860e3a4891e00a6f5f7b661dd2e87d82db94"],"state_sha256":"a57a38d6648bec8fed066ffa51b93f2164302cd26818d3850ffc3562100c7d3a"}