{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:SBFIHZUNAMYTYCBT4RY2CONGNV","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":"0070d34254ecf777e6c0136da27c51922928fc67c6b1076bb780f63eeec15781","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2020-04-09T18:26:09Z","title_canon_sha256":"9b92350709b295d3697d71d19c2d07b134daa750fa1a64eafd7eefee90c94f68"},"schema_version":"1.0","source":{"id":"2004.04765","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.04765","created_at":"2026-07-05T02:06:30Z"},{"alias_kind":"arxiv_version","alias_value":"2004.04765v2","created_at":"2026-07-05T02:06:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.04765","created_at":"2026-07-05T02:06:30Z"},{"alias_kind":"pith_short_12","alias_value":"SBFIHZUNAMYT","created_at":"2026-07-05T02:06:30Z"},{"alias_kind":"pith_short_16","alias_value":"SBFIHZUNAMYTYCBT","created_at":"2026-07-05T02:06:30Z"},{"alias_kind":"pith_short_8","alias_value":"SBFIHZUN","created_at":"2026-07-05T02:06:30Z"}],"graph_snapshots":[{"event_id":"sha256:c5b9c2fb7beba007aafc60b574d1f47907dd0f842480dfc71e85620a994268a0","target":"graph","created_at":"2026-07-05T02:06:30Z","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/2004.04765/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While the study of a single network is well-established, technological advances now allow for the collection of multiple networks with relative ease. Increasingly, anywhere from several to thousands of networks can be created from brain imaging, gene co-expression data, or microbiome measurements. And these networks, in turn, are being looked to as potentially powerful features to be used in modeling. However, with networks being non-Euclidean in nature, how best to incorporate them into standard modeling tasks is not obvious. In this paper, we propose a Bayesian modeling framework that provid","authors_text":"Eric D. Kolaczyk, Lizhen Lin, Nathaniel Josephs, Steven Rosenberg","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2020-04-09T18:26:09Z","title":"Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.04765","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":"sha256:8a9881225437ae29c815f43ab5393fdf9bfb1e7ddb5f8159bec761d885dda02a","target":"record","created_at":"2026-07-05T02:06:30Z","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":"0070d34254ecf777e6c0136da27c51922928fc67c6b1076bb780f63eeec15781","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2020-04-09T18:26:09Z","title_canon_sha256":"9b92350709b295d3697d71d19c2d07b134daa750fa1a64eafd7eefee90c94f68"},"schema_version":"1.0","source":{"id":"2004.04765","kind":"arxiv","version":2}},"canonical_sha256":"904a83e68d03313c0833e471a139a66d683b075330c83b4dc76317fa58588c63","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"904a83e68d03313c0833e471a139a66d683b075330c83b4dc76317fa58588c63","first_computed_at":"2026-07-05T02:06:30.640449Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:06:30.640449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zn2YDmZIBZmK/vlNhFU0jNgooYuMXHGshELLPKDjCx8ZLNXu4LT7PTHudx1CGOAsdIZXruHuhzqtpwtLkok6Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:06:30.640962Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.04765","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a9881225437ae29c815f43ab5393fdf9bfb1e7ddb5f8159bec761d885dda02a","sha256:c5b9c2fb7beba007aafc60b574d1f47907dd0f842480dfc71e85620a994268a0"],"state_sha256":"d1e6216d3e86986f7bea12b253d2d015dd60365dfa4153a07bcf907091b2ea83"}