{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:Y5QORTWT63YM2JB7M4BTDOXWWI","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":"85ac39e6b4ef586cfe4471f06e298bb5488d39b858e5754069c3af41cfb571d2","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-05-28T12:24:56Z","title_canon_sha256":"3d5bee4ee2855859b54d8d6885b1a598a254b5296bc8f65bf36e11c16e451726"},"schema_version":"1.0","source":{"id":"1905.11765","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.11765","created_at":"2026-05-17T23:44:52Z"},{"alias_kind":"arxiv_version","alias_value":"1905.11765v1","created_at":"2026-05-17T23:44:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.11765","created_at":"2026-05-17T23:44:52Z"},{"alias_kind":"pith_short_12","alias_value":"Y5QORTWT63YM","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"Y5QORTWT63YM2JB7","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"Y5QORTWT","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:5924eef7bfd3b43ba3c02d4186ce71cc82eec76717b392712e131637cac10c61","target":"graph","created_at":"2026-05-17T23:44:52Z","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":"An important problem in forensic analyses is identifying the provenance of materials at a crime scene, such as biological material on a piece of clothing. This procedure, known as geolocation, is conventionally guided by expert knowledge of the biological evidence and therefore tends to be application-specific, labor-intensive, and subjective. Purely data-driven methods have yet to be fully realized due in part to the lack of a sufficiently rich data source. However, high-throughput sequencing technologies are able to identify tens of thousands of microbial taxa using DNA recovered from a sing","authors_text":"Brian J. Reich, Eric B. Laber, Julia S. Allwood, Krishna Pacifici, Matthew Gebert, Neal S. Grantham, Noah Fierer, Robert R. Dunn, Seth A. Faith","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-05-28T12:24:56Z","title":"Global forensic geolocation with deep neural networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.11765","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":"sha256:1aa81f627a404f3c264fe03052de478a0875404b8085d1ca57fb64b43ccd0910","target":"record","created_at":"2026-05-17T23:44:52Z","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":"85ac39e6b4ef586cfe4471f06e298bb5488d39b858e5754069c3af41cfb571d2","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-05-28T12:24:56Z","title_canon_sha256":"3d5bee4ee2855859b54d8d6885b1a598a254b5296bc8f65bf36e11c16e451726"},"schema_version":"1.0","source":{"id":"1905.11765","kind":"arxiv","version":1}},"canonical_sha256":"c760e8ced3f6f0cd243f670331baf6b20d44fc2e5089ef7e9cb37028e5e9b50e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c760e8ced3f6f0cd243f670331baf6b20d44fc2e5089ef7e9cb37028e5e9b50e","first_computed_at":"2026-05-17T23:44:52.370875Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:52.370875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vH/bksfdDXE4i3NUV1rs/G05Okz6Lswt91ZH+bQIT3lNfEWr98nkVWbk2aK8Bo6Icf87khFHF2IYh5Ewnx+nBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:52.371896Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.11765","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1aa81f627a404f3c264fe03052de478a0875404b8085d1ca57fb64b43ccd0910","sha256:5924eef7bfd3b43ba3c02d4186ce71cc82eec76717b392712e131637cac10c61"],"state_sha256":"f2db40c60f1b33a1dcedae39b084746b476de4b413541e04efa849854e39d8df"}