{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:B5XKXBNEZSCGMCLI4SOWWA63CC","short_pith_number":"pith:B5XKXBNE","canonical_record":{"source":{"id":"1711.10967","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2017-11-29T17:11:28Z","cross_cats_sorted":["cs.LG","physics.soc-ph","stat.ME"],"title_canon_sha256":"c020949c60bbf7873d609c1e9a464488ccdcd4f69e9d8e8ea04ef6bff3b4be62","abstract_canon_sha256":"8addbf97d5a2ff5807e711d9cf1b6faccc49c2c17181428a70bfc7b4244839c8"},"schema_version":"1.0"},"canonical_sha256":"0f6eab85a4cc84660968e49d6b03db10acbca341cffaf719a5750f7a615a08d0","source":{"kind":"arxiv","id":"1711.10967","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.10967","created_at":"2026-05-17T23:53:01Z"},{"alias_kind":"arxiv_version","alias_value":"1711.10967v2","created_at":"2026-05-17T23:53:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.10967","created_at":"2026-05-17T23:53:01Z"},{"alias_kind":"pith_short_12","alias_value":"B5XKXBNEZSCG","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"B5XKXBNEZSCGMCLI","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"B5XKXBNE","created_at":"2026-05-18T12:31:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:B5XKXBNEZSCGMCLI4SOWWA63CC","target":"record","payload":{"canonical_record":{"source":{"id":"1711.10967","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2017-11-29T17:11:28Z","cross_cats_sorted":["cs.LG","physics.soc-ph","stat.ME"],"title_canon_sha256":"c020949c60bbf7873d609c1e9a464488ccdcd4f69e9d8e8ea04ef6bff3b4be62","abstract_canon_sha256":"8addbf97d5a2ff5807e711d9cf1b6faccc49c2c17181428a70bfc7b4244839c8"},"schema_version":"1.0"},"canonical_sha256":"0f6eab85a4cc84660968e49d6b03db10acbca341cffaf719a5750f7a615a08d0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:01.345229Z","signature_b64":"2m//z86A0X42uOJmTBLwDsTwimdejsCufvLvmpb30HLepIKLbkssJrG4YfqEoqqO0xFH7CquP+QhA403uyYeBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0f6eab85a4cc84660968e49d6b03db10acbca341cffaf719a5750f7a615a08d0","last_reissued_at":"2026-05-17T23:53:01.344595Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:01.344595Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.10967","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:53:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QZaKUVYCyhjlPtbecEi4agh6gT+3O9hkGvK5cwDRE3jMFkyTd1D6FNP5x5jqTez3bbbE/8vUTYpcty+NYaK3AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T08:31:44.098462Z"},"content_sha256":"e09d4f42104679b0fd2c4171e482f30e8e10267a943fe29e2cebf0ac27f6120e","schema_version":"1.0","event_id":"sha256:e09d4f42104679b0fd2c4171e482f30e8e10267a943fe29e2cebf0ac27f6120e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:B5XKXBNEZSCGMCLI4SOWWA63CC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Block Point Process Model for Continuous-Time Event-Based 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, Maysam Haghdan, Ruthwik R. Junuthula, Vijay K. Devabhaktuni","submitted_at":"2017-11-29T17:11:28Z","abstract_excerpt":"We consider the problem of analyzing timestamped relational events between a set of entities, such as messages between users of an on-line social network. Such data are often analyzed using static or discrete-time network models, which discard a significant amount of information by aggregating events over time to form network snapshots. In this paper, we introduce a block point process model (BPPM) for continuous-time event-based dynamic networks. The BPPM is inspired by the well-known stochastic block model (SBM) for static networks. We show that networks generated by the BPPM follow an SBM i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.10967","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:53:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E11QOVDUn67D93j6zEXS7kMar/vkfY9ZAIobMCaH7D1//z5jEcU4Kng/xnNKxz82l6dVn/wokKYTnD7PmtYrCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T08:31:44.099116Z"},"content_sha256":"6566f692fac8f7b47c92c8930908ad6b9b6a73464e97e4dac587bd272724bcde","schema_version":"1.0","event_id":"sha256:6566f692fac8f7b47c92c8930908ad6b9b6a73464e97e4dac587bd272724bcde"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B5XKXBNEZSCGMCLI4SOWWA63CC/bundle.json","state_url":"https://pith.science/pith/B5XKXBNEZSCGMCLI4SOWWA63CC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B5XKXBNEZSCGMCLI4SOWWA63CC/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":"2026-05-26T08:31:44Z","links":{"resolver":"https://pith.science/pith/B5XKXBNEZSCGMCLI4SOWWA63CC","bundle":"https://pith.science/pith/B5XKXBNEZSCGMCLI4SOWWA63CC/bundle.json","state":"https://pith.science/pith/B5XKXBNEZSCGMCLI4SOWWA63CC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B5XKXBNEZSCGMCLI4SOWWA63CC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:B5XKXBNEZSCGMCLI4SOWWA63CC","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":"8addbf97d5a2ff5807e711d9cf1b6faccc49c2c17181428a70bfc7b4244839c8","cross_cats_sorted":["cs.LG","physics.soc-ph","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2017-11-29T17:11:28Z","title_canon_sha256":"c020949c60bbf7873d609c1e9a464488ccdcd4f69e9d8e8ea04ef6bff3b4be62"},"schema_version":"1.0","source":{"id":"1711.10967","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.10967","created_at":"2026-05-17T23:53:01Z"},{"alias_kind":"arxiv_version","alias_value":"1711.10967v2","created_at":"2026-05-17T23:53:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.10967","created_at":"2026-05-17T23:53:01Z"},{"alias_kind":"pith_short_12","alias_value":"B5XKXBNEZSCG","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"B5XKXBNEZSCGMCLI","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"B5XKXBNE","created_at":"2026-05-18T12:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:6566f692fac8f7b47c92c8930908ad6b9b6a73464e97e4dac587bd272724bcde","target":"graph","created_at":"2026-05-17T23:53:01Z","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":"We consider the problem of analyzing timestamped relational events between a set of entities, such as messages between users of an on-line social network. Such data are often analyzed using static or discrete-time network models, which discard a significant amount of information by aggregating events over time to form network snapshots. In this paper, we introduce a block point process model (BPPM) for continuous-time event-based dynamic networks. The BPPM is inspired by the well-known stochastic block model (SBM) for static networks. We show that networks generated by the BPPM follow an SBM i","authors_text":"Kevin S. Xu, Maysam Haghdan, Ruthwik R. Junuthula, Vijay K. Devabhaktuni","cross_cats":["cs.LG","physics.soc-ph","stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2017-11-29T17:11:28Z","title":"The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.10967","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:e09d4f42104679b0fd2c4171e482f30e8e10267a943fe29e2cebf0ac27f6120e","target":"record","created_at":"2026-05-17T23:53:01Z","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":"8addbf97d5a2ff5807e711d9cf1b6faccc49c2c17181428a70bfc7b4244839c8","cross_cats_sorted":["cs.LG","physics.soc-ph","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2017-11-29T17:11:28Z","title_canon_sha256":"c020949c60bbf7873d609c1e9a464488ccdcd4f69e9d8e8ea04ef6bff3b4be62"},"schema_version":"1.0","source":{"id":"1711.10967","kind":"arxiv","version":2}},"canonical_sha256":"0f6eab85a4cc84660968e49d6b03db10acbca341cffaf719a5750f7a615a08d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0f6eab85a4cc84660968e49d6b03db10acbca341cffaf719a5750f7a615a08d0","first_computed_at":"2026-05-17T23:53:01.344595Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:53:01.344595Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2m//z86A0X42uOJmTBLwDsTwimdejsCufvLvmpb30HLepIKLbkssJrG4YfqEoqqO0xFH7CquP+QhA403uyYeBA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:53:01.345229Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.10967","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e09d4f42104679b0fd2c4171e482f30e8e10267a943fe29e2cebf0ac27f6120e","sha256:6566f692fac8f7b47c92c8930908ad6b9b6a73464e97e4dac587bd272724bcde"],"state_sha256":"ee012d63a37dbf36cea428f5ec9318620423ff7e68f6eac929a995f083d4c9d4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xewvOPxKez7BZ0PyMG2Uwa3mq1tX5KMIQI7RUpwUt/Ztt8WbPIIXgrwmexDLFtglloLMhb4leAuGwP12GFAoCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T08:31:44.102785Z","bundle_sha256":"603d9c01ee0c08913b64b0fe544208cdd5acb50fc3feba5fce157e4683b2b1b9"}}