{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:KZYN5GET5EEHBOP3ZFWOFO7TZW","short_pith_number":"pith:KZYN5GET","schema_version":"1.0","canonical_sha256":"5670de9893e90870b9fbc96ce2bbf3cd9847175538bfe6e6cafc6038eff30075","source":{"kind":"arxiv","id":"1411.5404","version":2},"attestation_state":"computed","paper":{"title":"Stochastic Block Transition Models for Dynamic Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","physics.soc-ph","stat.ME"],"primary_cat":"cs.SI","authors_text":"Kevin S. Xu","submitted_at":"2014-11-19T23:30:36Z","abstract_excerpt":"There has been great interest in recent years on statistical models for dynamic networks. In this paper, I propose a stochastic block transition model (SBTM) for dynamic networks that is inspired by the well-known stochastic block model (SBM) for static networks and previous dynamic extensions of the SBM. Unlike most existing dynamic network models, it does not make a hidden Markov assumption on the edge-level dynamics, allowing the presence or absence of edges to directly influence future edge probabilities while retaining the interpretability of the SBM. I derive an approximate inference pro"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1411.5404","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2014-11-19T23:30:36Z","cross_cats_sorted":["cs.LG","physics.soc-ph","stat.ME"],"title_canon_sha256":"d2536bac2c2a231856062573ea20314c545d3da173f92d3612f21ea698d8b848","abstract_canon_sha256":"43c9171637adffdbe41cdfb3cb46109952ce12e53bb024a2fbd3a72c32086959"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:11:21.872985Z","signature_b64":"TJ51fdYN/uB37x7rkU07z8sPJFG5/XnKiIFOckAu9GjR5SNICJkqG2LBvW0jK4qgsVEj1kS3XbKbf8+wLseuBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5670de9893e90870b9fbc96ce2bbf3cd9847175538bfe6e6cafc6038eff30075","last_reissued_at":"2026-05-18T01:11:21.872483Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:11:21.872483Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Stochastic Block Transition Models for Dynamic Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","physics.soc-ph","stat.ME"],"primary_cat":"cs.SI","authors_text":"Kevin S. Xu","submitted_at":"2014-11-19T23:30:36Z","abstract_excerpt":"There has been great interest in recent years on statistical models for dynamic networks. In this paper, I propose a stochastic block transition model (SBTM) for dynamic networks that is inspired by the well-known stochastic block model (SBM) for static networks and previous dynamic extensions of the SBM. Unlike most existing dynamic network models, it does not make a hidden Markov assumption on the edge-level dynamics, allowing the presence or absence of edges to directly influence future edge probabilities while retaining the interpretability of the SBM. I derive an approximate inference pro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.5404","kind":"arxiv","version":2},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1411.5404","created_at":"2026-05-18T01:11:21.872553+00:00"},{"alias_kind":"arxiv_version","alias_value":"1411.5404v2","created_at":"2026-05-18T01:11:21.872553+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.5404","created_at":"2026-05-18T01:11:21.872553+00:00"},{"alias_kind":"pith_short_12","alias_value":"KZYN5GET5EEH","created_at":"2026-05-18T12:28:35.611951+00:00"},{"alias_kind":"pith_short_16","alias_value":"KZYN5GET5EEHBOP3","created_at":"2026-05-18T12:28:35.611951+00:00"},{"alias_kind":"pith_short_8","alias_value":"KZYN5GET","created_at":"2026-05-18T12:28:35.611951+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KZYN5GET5EEHBOP3ZFWOFO7TZW","json":"https://pith.science/pith/KZYN5GET5EEHBOP3ZFWOFO7TZW.json","graph_json":"https://pith.science/api/pith-number/KZYN5GET5EEHBOP3ZFWOFO7TZW/graph.json","events_json":"https://pith.science/api/pith-number/KZYN5GET5EEHBOP3ZFWOFO7TZW/events.json","paper":"https://pith.science/paper/KZYN5GET"},"agent_actions":{"view_html":"https://pith.science/pith/KZYN5GET5EEHBOP3ZFWOFO7TZW","download_json":"https://pith.science/pith/KZYN5GET5EEHBOP3ZFWOFO7TZW.json","view_paper":"https://pith.science/paper/KZYN5GET","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1411.5404&json=true","fetch_graph":"https://pith.science/api/pith-number/KZYN5GET5EEHBOP3ZFWOFO7TZW/graph.json","fetch_events":"https://pith.science/api/pith-number/KZYN5GET5EEHBOP3ZFWOFO7TZW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KZYN5GET5EEHBOP3ZFWOFO7TZW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KZYN5GET5EEHBOP3ZFWOFO7TZW/action/storage_attestation","attest_author":"https://pith.science/pith/KZYN5GET5EEHBOP3ZFWOFO7TZW/action/author_attestation","sign_citation":"https://pith.science/pith/KZYN5GET5EEHBOP3ZFWOFO7TZW/action/citation_signature","submit_replication":"https://pith.science/pith/KZYN5GET5EEHBOP3ZFWOFO7TZW/action/replication_record"}},"created_at":"2026-05-18T01:11:21.872553+00:00","updated_at":"2026-05-18T01:11:21.872553+00:00"}