{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:ULSNDRAOKXIKKEEQYCDZ32VPNU","short_pith_number":"pith:ULSNDRAO","schema_version":"1.0","canonical_sha256":"a2e4d1c40e55d0a51090c0879deaaf6d1a06868298bd253b584b4a36871f33ef","source":{"kind":"arxiv","id":"1908.01528","version":3},"attestation_state":"computed","paper":{"title":"FLUID: A Common Model for Semantic Structural Graph Summaries Based on Equivalence Relations","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Ansgar Scherp, David Richerby, Till Blume","submitted_at":"2019-08-05T09:14:54Z","abstract_excerpt":"Summarization is a widespread method for handling very large graphs. The task of structural graph summarization is to compute a concise but meaningful synopsis of the key structural information of a graph. As summaries may be used for many different purposes, there is no single concept or model of graph summaries. We have studied existing structural graph summaries for large-scale (semantic) graphs. Despite their different concepts and purposes, we found commonalities in the graph structures they capture. We use these commonalities to provide for the first time a formally defined common model,"},"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":"1908.01528","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DB","submitted_at":"2019-08-05T09:14:54Z","cross_cats_sorted":[],"title_canon_sha256":"ba9ac9ee63049a5dc248f6bb11aea9013de7cda41ac8a158f52b0b03f138cebf","abstract_canon_sha256":"fb62968dee6aab31f44c57aada7827627d218f196153041211ef9dd502b0c86c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:04:03.743582Z","signature_b64":"gMyT3Cn0hkJzRx8wNsfBEA/QaVcy7QTjJXaTKimPEa8eTylstsiI9FAw/UhZohjqzmGCLwQfRIG+HuIrBDbgDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2e4d1c40e55d0a51090c0879deaaf6d1a06868298bd253b584b4a36871f33ef","last_reissued_at":"2026-07-05T02:04:03.743183Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:04:03.743183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"FLUID: A Common Model for Semantic Structural Graph Summaries Based on Equivalence Relations","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Ansgar Scherp, David Richerby, Till Blume","submitted_at":"2019-08-05T09:14:54Z","abstract_excerpt":"Summarization is a widespread method for handling very large graphs. The task of structural graph summarization is to compute a concise but meaningful synopsis of the key structural information of a graph. As summaries may be used for many different purposes, there is no single concept or model of graph summaries. We have studied existing structural graph summaries for large-scale (semantic) graphs. Despite their different concepts and purposes, we found commonalities in the graph structures they capture. We use these commonalities to provide for the first time a formally defined common model,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.01528","kind":"arxiv","version":3},"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/1908.01528/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1908.01528","created_at":"2026-07-05T02:04:03.743241+00:00"},{"alias_kind":"arxiv_version","alias_value":"1908.01528v3","created_at":"2026-07-05T02:04:03.743241+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.01528","created_at":"2026-07-05T02:04:03.743241+00:00"},{"alias_kind":"pith_short_12","alias_value":"ULSNDRAOKXIK","created_at":"2026-07-05T02:04:03.743241+00:00"},{"alias_kind":"pith_short_16","alias_value":"ULSNDRAOKXIKKEEQ","created_at":"2026-07-05T02:04:03.743241+00:00"},{"alias_kind":"pith_short_8","alias_value":"ULSNDRAO","created_at":"2026-07-05T02:04:03.743241+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/ULSNDRAOKXIKKEEQYCDZ32VPNU","json":"https://pith.science/pith/ULSNDRAOKXIKKEEQYCDZ32VPNU.json","graph_json":"https://pith.science/api/pith-number/ULSNDRAOKXIKKEEQYCDZ32VPNU/graph.json","events_json":"https://pith.science/api/pith-number/ULSNDRAOKXIKKEEQYCDZ32VPNU/events.json","paper":"https://pith.science/paper/ULSNDRAO"},"agent_actions":{"view_html":"https://pith.science/pith/ULSNDRAOKXIKKEEQYCDZ32VPNU","download_json":"https://pith.science/pith/ULSNDRAOKXIKKEEQYCDZ32VPNU.json","view_paper":"https://pith.science/paper/ULSNDRAO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1908.01528&json=true","fetch_graph":"https://pith.science/api/pith-number/ULSNDRAOKXIKKEEQYCDZ32VPNU/graph.json","fetch_events":"https://pith.science/api/pith-number/ULSNDRAOKXIKKEEQYCDZ32VPNU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ULSNDRAOKXIKKEEQYCDZ32VPNU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ULSNDRAOKXIKKEEQYCDZ32VPNU/action/storage_attestation","attest_author":"https://pith.science/pith/ULSNDRAOKXIKKEEQYCDZ32VPNU/action/author_attestation","sign_citation":"https://pith.science/pith/ULSNDRAOKXIKKEEQYCDZ32VPNU/action/citation_signature","submit_replication":"https://pith.science/pith/ULSNDRAOKXIKKEEQYCDZ32VPNU/action/replication_record"}},"created_at":"2026-07-05T02:04:03.743241+00:00","updated_at":"2026-07-05T02:04:03.743241+00:00"}