{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:SIPKVX4TF6LYMKT352MPFJ6RI2","short_pith_number":"pith:SIPKVX4T","canonical_record":{"source":{"id":"1803.02726","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2018-03-07T15:50:09Z","cross_cats_sorted":["physics.soc-ph","stat.ML"],"title_canon_sha256":"5da8b377d2b79aa0825b572edb360b3ae0c60eff51a0bd7a34d9e9056646146b","abstract_canon_sha256":"ede4141dc9f925d6f6d9eebb5733d3edf77c0902b3332900c6e98aa5990bb2ba"},"schema_version":"1.0"},"canonical_sha256":"921eaadf932f97862a7bee98f2a7d1469e43109ec229dca76424b9c925dfbf72","source":{"kind":"arxiv","id":"1803.02726","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.02726","created_at":"2026-05-18T00:21:45Z"},{"alias_kind":"arxiv_version","alias_value":"1803.02726v1","created_at":"2026-05-18T00:21:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.02726","created_at":"2026-05-18T00:21:45Z"},{"alias_kind":"pith_short_12","alias_value":"SIPKVX4TF6LY","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"SIPKVX4TF6LYMKT3","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"SIPKVX4T","created_at":"2026-05-18T12:32:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:SIPKVX4TF6LYMKT352MPFJ6RI2","target":"record","payload":{"canonical_record":{"source":{"id":"1803.02726","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2018-03-07T15:50:09Z","cross_cats_sorted":["physics.soc-ph","stat.ML"],"title_canon_sha256":"5da8b377d2b79aa0825b572edb360b3ae0c60eff51a0bd7a34d9e9056646146b","abstract_canon_sha256":"ede4141dc9f925d6f6d9eebb5733d3edf77c0902b3332900c6e98aa5990bb2ba"},"schema_version":"1.0"},"canonical_sha256":"921eaadf932f97862a7bee98f2a7d1469e43109ec229dca76424b9c925dfbf72","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:21:45.408933Z","signature_b64":"d1S6OgmFBwTWQ9S61Tn5hEzoJLeHs0heiJ7w/AFBjDbA+E9BAEiW8pApIQiZ7nqzRdZUO7w8E8yNzQGssKBtBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"921eaadf932f97862a7bee98f2a7d1469e43109ec229dca76424b9c925dfbf72","last_reissued_at":"2026-05-18T00:21:45.408213Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:21:45.408213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.02726","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:21:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YT439LRHHK2LmxNG5FKZ9fFdWzz7P8thd6V4yojNuNw9vhnePkCu+z/paG/1FvoQG00mx7w5iMcxUCTbyrzcBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T23:33:45.878118Z"},"content_sha256":"764c28890105f1aa927699c7a5d36e32501a01f4c651e9164d071ed1bd48aa60","schema_version":"1.0","event_id":"sha256:764c28890105f1aa927699c7a5d36e32501a01f4c651e9164d071ed1bd48aa60"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:SIPKVX4TF6LYMKT352MPFJ6RI2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stochastic Block Models with Multiple Continuous Attributes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph","stat.ML"],"primary_cat":"cs.SI","authors_text":"Marc Niethammer, Natalie Stanley, Peter J. Mucha, Roland Kwitt, Thomas Bonacci","submitted_at":"2018-03-07T15:50:09Z","abstract_excerpt":"The stochastic block model (SBM) is a probabilistic model for community structure in networks. Typically, only the adjacency matrix is used to perform SBM parameter inference. In this paper, we consider circumstances in which nodes have an associated vector of continuous attributes that are also used to learn the node-to-community assignments and corresponding SBM parameters. While this assumption is not realistic for every application, our model assumes that the attributes associated with the nodes in a network's community can be described by a common multivariate Gaussian model. In this augm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.02726","kind":"arxiv","version":1},"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":"2026-05-18T00:21:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ChMbtL1ata+nBa5QVL04jOfKl1ykYGCdu21/6HnMTg7imjULKVYNjc5dPKh6JYzQ+GvCgmnbyFxO9HglxIT1Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T23:33:45.878728Z"},"content_sha256":"28da56fa0282f4a1128f0b6ccea6bc8cc54d8b1218e9b342b083ada867e36863","schema_version":"1.0","event_id":"sha256:28da56fa0282f4a1128f0b6ccea6bc8cc54d8b1218e9b342b083ada867e36863"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SIPKVX4TF6LYMKT352MPFJ6RI2/bundle.json","state_url":"https://pith.science/pith/SIPKVX4TF6LYMKT352MPFJ6RI2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SIPKVX4TF6LYMKT352MPFJ6RI2/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":"2026-06-10T23:33:45Z","links":{"resolver":"https://pith.science/pith/SIPKVX4TF6LYMKT352MPFJ6RI2","bundle":"https://pith.science/pith/SIPKVX4TF6LYMKT352MPFJ6RI2/bundle.json","state":"https://pith.science/pith/SIPKVX4TF6LYMKT352MPFJ6RI2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SIPKVX4TF6LYMKT352MPFJ6RI2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:SIPKVX4TF6LYMKT352MPFJ6RI2","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":"ede4141dc9f925d6f6d9eebb5733d3edf77c0902b3332900c6e98aa5990bb2ba","cross_cats_sorted":["physics.soc-ph","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2018-03-07T15:50:09Z","title_canon_sha256":"5da8b377d2b79aa0825b572edb360b3ae0c60eff51a0bd7a34d9e9056646146b"},"schema_version":"1.0","source":{"id":"1803.02726","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.02726","created_at":"2026-05-18T00:21:45Z"},{"alias_kind":"arxiv_version","alias_value":"1803.02726v1","created_at":"2026-05-18T00:21:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.02726","created_at":"2026-05-18T00:21:45Z"},{"alias_kind":"pith_short_12","alias_value":"SIPKVX4TF6LY","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"SIPKVX4TF6LYMKT3","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"SIPKVX4T","created_at":"2026-05-18T12:32:53Z"}],"graph_snapshots":[{"event_id":"sha256:28da56fa0282f4a1128f0b6ccea6bc8cc54d8b1218e9b342b083ada867e36863","target":"graph","created_at":"2026-05-18T00:21:45Z","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":"The stochastic block model (SBM) is a probabilistic model for community structure in networks. Typically, only the adjacency matrix is used to perform SBM parameter inference. In this paper, we consider circumstances in which nodes have an associated vector of continuous attributes that are also used to learn the node-to-community assignments and corresponding SBM parameters. While this assumption is not realistic for every application, our model assumes that the attributes associated with the nodes in a network's community can be described by a common multivariate Gaussian model. In this augm","authors_text":"Marc Niethammer, Natalie Stanley, Peter J. Mucha, Roland Kwitt, Thomas Bonacci","cross_cats":["physics.soc-ph","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2018-03-07T15:50:09Z","title":"Stochastic Block Models with Multiple Continuous Attributes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.02726","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":"sha256:764c28890105f1aa927699c7a5d36e32501a01f4c651e9164d071ed1bd48aa60","target":"record","created_at":"2026-05-18T00:21:45Z","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":"ede4141dc9f925d6f6d9eebb5733d3edf77c0902b3332900c6e98aa5990bb2ba","cross_cats_sorted":["physics.soc-ph","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2018-03-07T15:50:09Z","title_canon_sha256":"5da8b377d2b79aa0825b572edb360b3ae0c60eff51a0bd7a34d9e9056646146b"},"schema_version":"1.0","source":{"id":"1803.02726","kind":"arxiv","version":1}},"canonical_sha256":"921eaadf932f97862a7bee98f2a7d1469e43109ec229dca76424b9c925dfbf72","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"921eaadf932f97862a7bee98f2a7d1469e43109ec229dca76424b9c925dfbf72","first_computed_at":"2026-05-18T00:21:45.408213Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:21:45.408213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d1S6OgmFBwTWQ9S61Tn5hEzoJLeHs0heiJ7w/AFBjDbA+E9BAEiW8pApIQiZ7nqzRdZUO7w8E8yNzQGssKBtBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:21:45.408933Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.02726","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:764c28890105f1aa927699c7a5d36e32501a01f4c651e9164d071ed1bd48aa60","sha256:28da56fa0282f4a1128f0b6ccea6bc8cc54d8b1218e9b342b083ada867e36863"],"state_sha256":"d616253895ac6afccff41f5cdff7cccf0032d28e1b31be5e84d2773e97cec1d3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LmhL1VPHaum4lU0JeaMhL4EdlA4+AFqa0s/bj8rjysuSCCDRhm0Cn+YeXFc35bzR1RfWDNOYbHPaEkF9L0FsBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T23:33:45.882191Z","bundle_sha256":"93cbb622bdca104c12e5638907ea896a4e7239753539bc33801bcddb27e3ef4e"}}