{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:7VW3DVW626VJ2WIM2366RMZIMK","short_pith_number":"pith:7VW3DVW6","canonical_record":{"source":{"id":"1607.02655","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-07-09T20:11:20Z","cross_cats_sorted":[],"title_canon_sha256":"f8f75d4985a1af8770fd21ba06c392a25dd7b5adb6f7c78bad7de6a8a110b6b2","abstract_canon_sha256":"eaab93e31c075b9caf692d4c90fb969e452883b34682df820eadfed4a0f18ade"},"schema_version":"1.0"},"canonical_sha256":"fd6db1d6ded7aa9d590cd6fde8b32862aa5e4381f7efd42b300a8434f0deb3d7","source":{"kind":"arxiv","id":"1607.02655","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.02655","created_at":"2026-07-05T04:29:05Z"},{"alias_kind":"arxiv_version","alias_value":"1607.02655v1","created_at":"2026-07-05T04:29:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.02655","created_at":"2026-07-05T04:29:05Z"},{"alias_kind":"pith_short_12","alias_value":"7VW3DVW626VJ","created_at":"2026-07-05T04:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"7VW3DVW626VJ2WIM","created_at":"2026-07-05T04:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"7VW3DVW6","created_at":"2026-07-05T04:29:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:7VW3DVW626VJ2WIM2366RMZIMK","target":"record","payload":{"canonical_record":{"source":{"id":"1607.02655","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-07-09T20:11:20Z","cross_cats_sorted":[],"title_canon_sha256":"f8f75d4985a1af8770fd21ba06c392a25dd7b5adb6f7c78bad7de6a8a110b6b2","abstract_canon_sha256":"eaab93e31c075b9caf692d4c90fb969e452883b34682df820eadfed4a0f18ade"},"schema_version":"1.0"},"canonical_sha256":"fd6db1d6ded7aa9d590cd6fde8b32862aa5e4381f7efd42b300a8434f0deb3d7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:29:05.553725Z","signature_b64":"wp5LKbznTEDbaf7YKzcVGaq6vh0uipNtdFKApyYWZ8A1mio6SfEWaacDtpr8YZLZHMWJRjmQyFIS4L5nyBjXBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd6db1d6ded7aa9d590cd6fde8b32862aa5e4381f7efd42b300a8434f0deb3d7","last_reissued_at":"2026-07-05T04:29:05.553273Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:29:05.553273Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1607.02655","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":"2026-07-05T04:29:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ICXQ8L8Cx29tHWfbu9sT1uXKBVSsGpskvO4hI2BQhjOt3jqWoowMMXOHTvRrulgbZza6NNcEJbn7tpIzIP0gBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:39:33.548076Z"},"content_sha256":"7111738135654cee040dde430721f1878e5a489a5948f6a4ff6c78294aeb5869","schema_version":"1.0","event_id":"sha256:7111738135654cee040dde430721f1878e5a489a5948f6a4ff6c78294aeb5869"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:7VW3DVW626VJ2WIM2366RMZIMK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Scalable Bayesian modeling, monitoring and analysis of dynamic network flow data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"David Banks, Jewell Thomas, Kaoru Irie, Mike West, Robert Haslinger, Xi Chen","submitted_at":"2016-07-09T20:11:20Z","abstract_excerpt":"Traffic flow count data in networks arise in many applications, such as automobile or aviation transportation, certain directed social network contexts, and Internet studies. Using an example of Internet browser traffic flow through site-segments of an international news website, we present Bayesian analyses of two linked classes of models which, in tandem, allow fast, scalable and interpretable Bayesian inference. We first develop flexible state-space models for streaming count data, able to adaptively characterize and quantify network dynamics efficiently in real-time. We then use these mode"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.02655","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1607.02655/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T04:29:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l3yaTszqK9wCPU2JbIsTNkG9iDA08ENnikKrS6ltJ2upY+n/T5SSPv1w/VfzmI9OgNiewFRaXzUSCoocT0HoCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:39:33.548463Z"},"content_sha256":"c1e2d12253f024313f6f01ef0f3177e394f8e8660c2d7fee815ad2c10910e4f0","schema_version":"1.0","event_id":"sha256:c1e2d12253f024313f6f01ef0f3177e394f8e8660c2d7fee815ad2c10910e4f0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7VW3DVW626VJ2WIM2366RMZIMK/bundle.json","state_url":"https://pith.science/pith/7VW3DVW626VJ2WIM2366RMZIMK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7VW3DVW626VJ2WIM2366RMZIMK/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":"2026-07-07T11:39:33Z","links":{"resolver":"https://pith.science/pith/7VW3DVW626VJ2WIM2366RMZIMK","bundle":"https://pith.science/pith/7VW3DVW626VJ2WIM2366RMZIMK/bundle.json","state":"https://pith.science/pith/7VW3DVW626VJ2WIM2366RMZIMK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7VW3DVW626VJ2WIM2366RMZIMK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:7VW3DVW626VJ2WIM2366RMZIMK","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":"eaab93e31c075b9caf692d4c90fb969e452883b34682df820eadfed4a0f18ade","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-07-09T20:11:20Z","title_canon_sha256":"f8f75d4985a1af8770fd21ba06c392a25dd7b5adb6f7c78bad7de6a8a110b6b2"},"schema_version":"1.0","source":{"id":"1607.02655","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.02655","created_at":"2026-07-05T04:29:05Z"},{"alias_kind":"arxiv_version","alias_value":"1607.02655v1","created_at":"2026-07-05T04:29:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.02655","created_at":"2026-07-05T04:29:05Z"},{"alias_kind":"pith_short_12","alias_value":"7VW3DVW626VJ","created_at":"2026-07-05T04:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"7VW3DVW626VJ2WIM","created_at":"2026-07-05T04:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"7VW3DVW6","created_at":"2026-07-05T04:29:05Z"}],"graph_snapshots":[{"event_id":"sha256:c1e2d12253f024313f6f01ef0f3177e394f8e8660c2d7fee815ad2c10910e4f0","target":"graph","created_at":"2026-07-05T04:29:05Z","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/1607.02655/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Traffic flow count data in networks arise in many applications, such as automobile or aviation transportation, certain directed social network contexts, and Internet studies. Using an example of Internet browser traffic flow through site-segments of an international news website, we present Bayesian analyses of two linked classes of models which, in tandem, allow fast, scalable and interpretable Bayesian inference. We first develop flexible state-space models for streaming count data, able to adaptively characterize and quantify network dynamics efficiently in real-time. We then use these mode","authors_text":"David Banks, Jewell Thomas, Kaoru Irie, Mike West, Robert Haslinger, Xi Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-07-09T20:11:20Z","title":"Scalable Bayesian modeling, monitoring and analysis of dynamic network flow data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.02655","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":"sha256:7111738135654cee040dde430721f1878e5a489a5948f6a4ff6c78294aeb5869","target":"record","created_at":"2026-07-05T04:29:05Z","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":"eaab93e31c075b9caf692d4c90fb969e452883b34682df820eadfed4a0f18ade","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-07-09T20:11:20Z","title_canon_sha256":"f8f75d4985a1af8770fd21ba06c392a25dd7b5adb6f7c78bad7de6a8a110b6b2"},"schema_version":"1.0","source":{"id":"1607.02655","kind":"arxiv","version":1}},"canonical_sha256":"fd6db1d6ded7aa9d590cd6fde8b32862aa5e4381f7efd42b300a8434f0deb3d7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd6db1d6ded7aa9d590cd6fde8b32862aa5e4381f7efd42b300a8434f0deb3d7","first_computed_at":"2026-07-05T04:29:05.553273Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:29:05.553273Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wp5LKbznTEDbaf7YKzcVGaq6vh0uipNtdFKApyYWZ8A1mio6SfEWaacDtpr8YZLZHMWJRjmQyFIS4L5nyBjXBA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:29:05.553725Z","signed_message":"canonical_sha256_bytes"},"source_id":"1607.02655","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7111738135654cee040dde430721f1878e5a489a5948f6a4ff6c78294aeb5869","sha256:c1e2d12253f024313f6f01ef0f3177e394f8e8660c2d7fee815ad2c10910e4f0"],"state_sha256":"a0af0a02f2e71b9158ddd14d110f625377c100df9d24785b4e121b95bdf3adc0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2MvFOJZ7SkWOlGh8BUf9Ga8M+UplKq/dIkQPdKS2PtA9Yh/kgixF/fKg4VMeHTzOWpy3UMaNgN5wcLww8xZzAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:39:33.550339Z","bundle_sha256":"4a7dd1ed188e5a1f89afa77ace4f8e80e07ef11684735c2ced905c925b1d7c60"}}