{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:HN3EQSIHWMHSKVKCHAQCDQW7S2","short_pith_number":"pith:HN3EQSIH","canonical_record":{"source":{"id":"1910.09017","kind":"arxiv","version":8},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-10-20T16:45:15Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"cb2ac6ce208956b4b4561f0f158c78d9acffd7e5e5bf9dc1370925531127fc45","abstract_canon_sha256":"be2f50d371be4c165b19da14db49636beea4c836b59ea54ee73c06890cce12d1"},"schema_version":"1.0"},"canonical_sha256":"3b76484907b30f255542382021c2df969c1695914de008a9605560405e8af24d","source":{"kind":"arxiv","id":"1910.09017","version":8},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.09017","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"arxiv_version","alias_value":"1910.09017v8","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.09017","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"pith_short_12","alias_value":"HN3EQSIHWMHS","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"pith_short_16","alias_value":"HN3EQSIHWMHSKVKC","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"pith_short_8","alias_value":"HN3EQSIH","created_at":"2026-07-05T06:45:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:HN3EQSIHWMHSKVKCHAQCDQW7S2","target":"record","payload":{"canonical_record":{"source":{"id":"1910.09017","kind":"arxiv","version":8},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-10-20T16:45:15Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"cb2ac6ce208956b4b4561f0f158c78d9acffd7e5e5bf9dc1370925531127fc45","abstract_canon_sha256":"be2f50d371be4c165b19da14db49636beea4c836b59ea54ee73c06890cce12d1"},"schema_version":"1.0"},"canonical_sha256":"3b76484907b30f255542382021c2df969c1695914de008a9605560405e8af24d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:45:55.707080Z","signature_b64":"qxQ6jYYEDmaZJ2HMk3+4x9kc0w8jpLT5iUWkjutmh5v6gst5aItoRnLDEGk8V1lgcnAkbP84X6sJZDLLdKYAAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b76484907b30f255542382021c2df969c1695914de008a9605560405e8af24d","last_reissued_at":"2026-07-05T06:45:55.706568Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:45:55.706568Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1910.09017","source_version":8,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:45:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4FpqnK2Iv4tjfC0VO8rGzXLwQZIhEoL2XBNMJLr7ZbU3W7cJvFuZdrLAz4ZohnOrTISmORlWvP+S2PS2HB9bDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-27T01:05:45.104181Z"},"content_sha256":"7b321a4216d7ff39ca424cb093e50897a7ebfca552c2d35d9ffa711de407770f","schema_version":"1.0","event_id":"sha256:7b321a4216d7ff39ca424cb093e50897a7ebfca552c2d35d9ffa711de407770f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:HN3EQSIHWMHSKVKCHAQCDQW7S2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DC"],"primary_cat":"cs.DB","authors_text":"Claude Barthels, Emanuel Peter, Gustavo Alonso, Maciej Besta, Marc Fischer, Micha{\\l} Podstawski, Robert Gerstenberger, Torsten Hoefler","submitted_at":"2019-10-20T16:45:15Z","abstract_excerpt":"Graph processing has become an important part of multiple areas of computer science, such as machine learning, computational sciences, medical applications, social network analysis, and many others. Numerous graphs such as web or social networks may contain up to trillions of edges. Often, these graphs are also dynamic (their structure changes over time) and have domain-specific rich data associated with vertices and edges. Graph database systems such as Neo4j enable storing, processing, and analyzing such large, evolving, and rich datasets. Due to the sheer size of such datasets, combined wit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.09017","kind":"arxiv","version":8},"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/1910.09017/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":"2026-07-05T06:45:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9QWWloBR1kwImfTTfRdrDIgeOFEuv3EHofNBxZ35Cbo/n8tZE2h6Tt6MZN0fljiEP5FHqvXFm/lVhCHSP+jRAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-27T01:05:45.104580Z"},"content_sha256":"c027003cc0cb50d88a4332650ffdc8029e3fa33e61651e39cf7e293a5453ece7","schema_version":"1.0","event_id":"sha256:c027003cc0cb50d88a4332650ffdc8029e3fa33e61651e39cf7e293a5453ece7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HN3EQSIHWMHSKVKCHAQCDQW7S2/bundle.json","state_url":"https://pith.science/pith/HN3EQSIHWMHSKVKCHAQCDQW7S2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HN3EQSIHWMHSKVKCHAQCDQW7S2/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":"2026-07-27T01:05:45Z","links":{"resolver":"https://pith.science/pith/HN3EQSIHWMHSKVKCHAQCDQW7S2","bundle":"https://pith.science/pith/HN3EQSIHWMHSKVKCHAQCDQW7S2/bundle.json","state":"https://pith.science/pith/HN3EQSIHWMHSKVKCHAQCDQW7S2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HN3EQSIHWMHSKVKCHAQCDQW7S2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HN3EQSIHWMHSKVKCHAQCDQW7S2","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":"be2f50d371be4c165b19da14db49636beea4c836b59ea54ee73c06890cce12d1","cross_cats_sorted":["cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-10-20T16:45:15Z","title_canon_sha256":"cb2ac6ce208956b4b4561f0f158c78d9acffd7e5e5bf9dc1370925531127fc45"},"schema_version":"1.0","source":{"id":"1910.09017","kind":"arxiv","version":8}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.09017","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"arxiv_version","alias_value":"1910.09017v8","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.09017","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"pith_short_12","alias_value":"HN3EQSIHWMHS","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"pith_short_16","alias_value":"HN3EQSIHWMHSKVKC","created_at":"2026-07-05T06:45:55Z"},{"alias_kind":"pith_short_8","alias_value":"HN3EQSIH","created_at":"2026-07-05T06:45:55Z"}],"graph_snapshots":[{"event_id":"sha256:c027003cc0cb50d88a4332650ffdc8029e3fa33e61651e39cf7e293a5453ece7","target":"graph","created_at":"2026-07-05T06:45:55Z","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/1910.09017/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph processing has become an important part of multiple areas of computer science, such as machine learning, computational sciences, medical applications, social network analysis, and many others. Numerous graphs such as web or social networks may contain up to trillions of edges. Often, these graphs are also dynamic (their structure changes over time) and have domain-specific rich data associated with vertices and edges. Graph database systems such as Neo4j enable storing, processing, and analyzing such large, evolving, and rich datasets. Due to the sheer size of such datasets, combined wit","authors_text":"Claude Barthels, Emanuel Peter, Gustavo Alonso, Maciej Besta, Marc Fischer, Micha{\\l} Podstawski, Robert Gerstenberger, Torsten Hoefler","cross_cats":["cs.DC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-10-20T16:45:15Z","title":"Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.09017","kind":"arxiv","version":8},"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":"sha256:7b321a4216d7ff39ca424cb093e50897a7ebfca552c2d35d9ffa711de407770f","target":"record","created_at":"2026-07-05T06:45:55Z","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":"be2f50d371be4c165b19da14db49636beea4c836b59ea54ee73c06890cce12d1","cross_cats_sorted":["cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-10-20T16:45:15Z","title_canon_sha256":"cb2ac6ce208956b4b4561f0f158c78d9acffd7e5e5bf9dc1370925531127fc45"},"schema_version":"1.0","source":{"id":"1910.09017","kind":"arxiv","version":8}},"canonical_sha256":"3b76484907b30f255542382021c2df969c1695914de008a9605560405e8af24d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b76484907b30f255542382021c2df969c1695914de008a9605560405e8af24d","first_computed_at":"2026-07-05T06:45:55.706568Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:45:55.706568Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qxQ6jYYEDmaZJ2HMk3+4x9kc0w8jpLT5iUWkjutmh5v6gst5aItoRnLDEGk8V1lgcnAkbP84X6sJZDLLdKYAAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:45:55.707080Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.09017","source_kind":"arxiv","source_version":8}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b321a4216d7ff39ca424cb093e50897a7ebfca552c2d35d9ffa711de407770f","sha256:c027003cc0cb50d88a4332650ffdc8029e3fa33e61651e39cf7e293a5453ece7"],"state_sha256":"3f7e49904075675b90f5fe8dbf8f1e651bffe0c26b0f7c71d491505b7ffed0ee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xT4uC+/C5aZEXaIGi1pUIPWm4v1ZjKuX4e7R+v81GKLWyjfReDSPVas5GRbg19sFlT+W56+2v5nMhkFwEuVGCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-27T01:05:45.107174Z","bundle_sha256":"b235492fb2d555799a114505c82d4051073f873b5a1a6820f3e17db19c279ec1"}}