{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:5OGIMZR2NM5XX7TBO3V47IEYHG","short_pith_number":"pith:5OGIMZR2","canonical_record":{"source":{"id":"1406.7851","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-06-30T18:52:44Z","cross_cats_sorted":[],"title_canon_sha256":"69a16b47e1de6fe5ee6df1f86470e9a3a72dafccb363c440948b3186933b3262","abstract_canon_sha256":"2123828c806d34e17b421aab6daa5beb863f741358d1b91c4f921aa13dc08995"},"schema_version":"1.0"},"canonical_sha256":"eb8c86663a6b3b7bfe6176ebcfa09839b4744294cf8c804ce40e53988dc8f728","source":{"kind":"arxiv","id":"1406.7851","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1406.7851","created_at":"2026-05-18T00:06:12Z"},{"alias_kind":"arxiv_version","alias_value":"1406.7851v3","created_at":"2026-05-18T00:06:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.7851","created_at":"2026-05-18T00:06:12Z"},{"alias_kind":"pith_short_12","alias_value":"5OGIMZR2NM5X","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_16","alias_value":"5OGIMZR2NM5XX7TB","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_8","alias_value":"5OGIMZR2","created_at":"2026-05-18T12:28:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:5OGIMZR2NM5XX7TBO3V47IEYHG","target":"record","payload":{"canonical_record":{"source":{"id":"1406.7851","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-06-30T18:52:44Z","cross_cats_sorted":[],"title_canon_sha256":"69a16b47e1de6fe5ee6df1f86470e9a3a72dafccb363c440948b3186933b3262","abstract_canon_sha256":"2123828c806d34e17b421aab6daa5beb863f741358d1b91c4f921aa13dc08995"},"schema_version":"1.0"},"canonical_sha256":"eb8c86663a6b3b7bfe6176ebcfa09839b4744294cf8c804ce40e53988dc8f728","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:12.861762Z","signature_b64":"7NpYqBOk/pqur9hls6dP4/OKQvU214hDffaKWlObsFOJO4jadR9Pl5L1HpI10XDSBc1lNxCcrs1rdNyPORRGBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eb8c86663a6b3b7bfe6176ebcfa09839b4744294cf8c804ce40e53988dc8f728","last_reissued_at":"2026-05-18T00:06:12.861012Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:12.861012Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1406.7851","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:06:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9iVVQ9C26Twm+ip33AnPE5rCqqLOdxxBfAgNT/fk9CKT3kVlDC5AKp5mUPM3KBzAtZMY4NFhLCVQa4IqVBWsAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T17:39:01.362019Z"},"content_sha256":"177f1335254821fb4508297e038f3a1ed6998a718bd8ccfe8f3aabd80ceb0047","schema_version":"1.0","event_id":"sha256:177f1335254821fb4508297e038f3a1ed6998a718bd8ccfe8f3aabd80ceb0047"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:5OGIMZR2NM5XX7TBO3V47IEYHG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Nonparametric Bayes Modeling of Populations of Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Daniele Durante, David B. Dunson, Joshua T. Vogelstein","submitted_at":"2014-06-30T18:52:44Z","abstract_excerpt":"Replicated network data are increasingly available in many research fields. In connectomic applications, inter-connections among brain regions are collected for each patient under study, motivating statistical models which can flexibly characterize the probabilistic generative mechanism underlying these network-valued data. Available models for a single network are not designed specifically for inference on the entire probability mass function of a network-valued random variable and therefore lack flexibility in characterizing the distribution of relevant topological structures. We propose a f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.7851","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:06:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8ETxqDGNkIHb9rUe74pq577MqPHSU1x8L6enGj8AuaVFMbf9DURdtwGD2h0pdxmM2RShG/zVqmcP2nD/abrgBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T17:39:01.362383Z"},"content_sha256":"1d037c1102f6b10a5a27ad9a18fa1a0ef08c6d495b74c5bf8e640ae08ba76697","schema_version":"1.0","event_id":"sha256:1d037c1102f6b10a5a27ad9a18fa1a0ef08c6d495b74c5bf8e640ae08ba76697"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5OGIMZR2NM5XX7TBO3V47IEYHG/bundle.json","state_url":"https://pith.science/pith/5OGIMZR2NM5XX7TBO3V47IEYHG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5OGIMZR2NM5XX7TBO3V47IEYHG/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-02T17:39:01Z","links":{"resolver":"https://pith.science/pith/5OGIMZR2NM5XX7TBO3V47IEYHG","bundle":"https://pith.science/pith/5OGIMZR2NM5XX7TBO3V47IEYHG/bundle.json","state":"https://pith.science/pith/5OGIMZR2NM5XX7TBO3V47IEYHG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5OGIMZR2NM5XX7TBO3V47IEYHG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:5OGIMZR2NM5XX7TBO3V47IEYHG","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":"2123828c806d34e17b421aab6daa5beb863f741358d1b91c4f921aa13dc08995","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-06-30T18:52:44Z","title_canon_sha256":"69a16b47e1de6fe5ee6df1f86470e9a3a72dafccb363c440948b3186933b3262"},"schema_version":"1.0","source":{"id":"1406.7851","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1406.7851","created_at":"2026-05-18T00:06:12Z"},{"alias_kind":"arxiv_version","alias_value":"1406.7851v3","created_at":"2026-05-18T00:06:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.7851","created_at":"2026-05-18T00:06:12Z"},{"alias_kind":"pith_short_12","alias_value":"5OGIMZR2NM5X","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_16","alias_value":"5OGIMZR2NM5XX7TB","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_8","alias_value":"5OGIMZR2","created_at":"2026-05-18T12:28:14Z"}],"graph_snapshots":[{"event_id":"sha256:1d037c1102f6b10a5a27ad9a18fa1a0ef08c6d495b74c5bf8e640ae08ba76697","target":"graph","created_at":"2026-05-18T00:06:12Z","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":"Replicated network data are increasingly available in many research fields. In connectomic applications, inter-connections among brain regions are collected for each patient under study, motivating statistical models which can flexibly characterize the probabilistic generative mechanism underlying these network-valued data. Available models for a single network are not designed specifically for inference on the entire probability mass function of a network-valued random variable and therefore lack flexibility in characterizing the distribution of relevant topological structures. We propose a f","authors_text":"Daniele Durante, David B. Dunson, Joshua T. Vogelstein","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-06-30T18:52:44Z","title":"Nonparametric Bayes Modeling of Populations of Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.7851","kind":"arxiv","version":3},"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":"sha256:177f1335254821fb4508297e038f3a1ed6998a718bd8ccfe8f3aabd80ceb0047","target":"record","created_at":"2026-05-18T00:06:12Z","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":"2123828c806d34e17b421aab6daa5beb863f741358d1b91c4f921aa13dc08995","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-06-30T18:52:44Z","title_canon_sha256":"69a16b47e1de6fe5ee6df1f86470e9a3a72dafccb363c440948b3186933b3262"},"schema_version":"1.0","source":{"id":"1406.7851","kind":"arxiv","version":3}},"canonical_sha256":"eb8c86663a6b3b7bfe6176ebcfa09839b4744294cf8c804ce40e53988dc8f728","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb8c86663a6b3b7bfe6176ebcfa09839b4744294cf8c804ce40e53988dc8f728","first_computed_at":"2026-05-18T00:06:12.861012Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:12.861012Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7NpYqBOk/pqur9hls6dP4/OKQvU214hDffaKWlObsFOJO4jadR9Pl5L1HpI10XDSBc1lNxCcrs1rdNyPORRGBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:12.861762Z","signed_message":"canonical_sha256_bytes"},"source_id":"1406.7851","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:177f1335254821fb4508297e038f3a1ed6998a718bd8ccfe8f3aabd80ceb0047","sha256:1d037c1102f6b10a5a27ad9a18fa1a0ef08c6d495b74c5bf8e640ae08ba76697"],"state_sha256":"42dcd2cbc0369e5ad5c73990c0908707d227675bd9cec0e00deb386fa38b9a03"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uq9gz6mc+tklJ0qy1NsUFHeQLSi2htMgok/CyHMvA8iaDhdItpifGAEeVB/4DN6CB7IzA74Q1AJ2s1A25xL9BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T17:39:01.364249Z","bundle_sha256":"dbb61b05a9616949f647f1bbc2832944403d772a3769a4ca08ee29e9dde5c9fa"}}