{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:TSZN3SAQFRYBA2GKH7PYS5KNHD","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":"b0ef0fd7cf4621af5b64d8b39a91cb2826bf6ba7d024c697714613e9861f5c6e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-07-14T14:59:39Z","title_canon_sha256":"509e08dc1ec856649391402dccb66ec1975ff1c73b0bac19869812cdd6278813"},"schema_version":"1.0","source":{"id":"2607.12845","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.12845","created_at":"2026-07-15T01:22:21Z"},{"alias_kind":"arxiv_version","alias_value":"2607.12845v1","created_at":"2026-07-15T01:22:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.12845","created_at":"2026-07-15T01:22:21Z"},{"alias_kind":"pith_short_12","alias_value":"TSZN3SAQFRYB","created_at":"2026-07-15T01:22:21Z"},{"alias_kind":"pith_short_16","alias_value":"TSZN3SAQFRYBA2GK","created_at":"2026-07-15T01:22:21Z"},{"alias_kind":"pith_short_8","alias_value":"TSZN3SAQ","created_at":"2026-07-15T01:22:21Z"}],"graph_snapshots":[{"event_id":"sha256:b4b334c79425ccf9bd45a057e3801c46f5a2712229a20e79e9da0e7e5c7b6b93","target":"graph","created_at":"2026-07-15T01:22:21Z","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/2607.12845/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph databases are increasingly adopted as alternatives to tabular, aggregation-focused data models used in business intelligence (BI) systems such as Tableau, Power BI, and Looker. They capture complex relationships between entities, processes, and events, enabling analysis of information propagation in networks. As a result, graph analysis is central to applications such as fraud detection, social influence analysis, and supply chain resilience. Despite these advantages, existing tools do not adequately support interactive analysis of graph databases. Tabular BI systems lack mechanisms for ","authors_text":"Leonardo Christino, Michael Behrisch, Remco Chang, Sjoerd Vink","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-07-14T14:59:39Z","title":"GraphPolaris: A System for Query, Analysis, and Visualization of Graph Databases"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.12845","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:f061f93d358a69672b29a074549db4938494db2548e5a0f7299fd558294511e8","target":"record","created_at":"2026-07-15T01:22:21Z","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":"b0ef0fd7cf4621af5b64d8b39a91cb2826bf6ba7d024c697714613e9861f5c6e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-07-14T14:59:39Z","title_canon_sha256":"509e08dc1ec856649391402dccb66ec1975ff1c73b0bac19869812cdd6278813"},"schema_version":"1.0","source":{"id":"2607.12845","kind":"arxiv","version":1}},"canonical_sha256":"9cb2ddc8102c701068ca3fdf89754d38fa20a85339fa34891e8b01a6d44d3b41","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9cb2ddc8102c701068ca3fdf89754d38fa20a85339fa34891e8b01a6d44d3b41","first_computed_at":"2026-07-15T01:22:21.509925Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-15T01:22:21.509925Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/gsNVKr7bbt81XAVb772dXIPdXRgDFuWPd01l9RCY76tpXy6yGrPsPqlgzrmtdEJQ30jrSQUhfbsb54MtIbyAw==","signature_status":"signed_v1","signed_at":"2026-07-15T01:22:21.510759Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.12845","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f061f93d358a69672b29a074549db4938494db2548e5a0f7299fd558294511e8","sha256:b4b334c79425ccf9bd45a057e3801c46f5a2712229a20e79e9da0e7e5c7b6b93"],"state_sha256":"3043940599601a7b6269ecc33dfb1353efb54e1265d75067b98064fc3b0fc2f1"}