{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:GDZEOF5S3DHKKWGU5EE6ASMCRA","short_pith_number":"pith:GDZEOF5S","schema_version":"1.0","canonical_sha256":"30f24717b2d8cea558d4e909e04982882bfdb35cc283c24c0d3e22c00207c76a","source":{"kind":"arxiv","id":"1902.05134","version":1},"attestation_state":"computed","paper":{"title":"Efficient Continuous Multi-Query Processing over Graph Streams","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DS","authors_text":"Christos Tryfonopoulos, Katja Hose, Lefteris Zervakis, Vinay Setty","submitted_at":"2019-02-13T21:14:10Z","abstract_excerpt":"Graphs are ubiquitous and ever-present data structures that have a wide range of applications involving social networks, knowledge bases and biological interactions. The evolution of a graph in such scenarios can yield important insights about the nature and activities of the underlying network, which can then be utilized for applications such as news dissemination, network monitoring, and content curation. Capturing the continuous evolution of a graph can be achieved by long-standing sub-graph queries. Although, for many applications this can only be achieved by a set of queries, state-of-the"},"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":"1902.05134","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2019-02-13T21:14:10Z","cross_cats_sorted":[],"title_canon_sha256":"8f764c5204b526407b9fdc18fd5b81e635b70a2cd1d36a76bd4b0a384d0b8296","abstract_canon_sha256":"e7412f3890ce6c3c57f2978b0f563fdec0b6e984a5952c8f1b0251e8b354c6c2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:01.849882Z","signature_b64":"IKB8SVXJKpxzAxg7Yf4PD3mjlbIpSrn/v/e/KwNcWunrdtEVLlP6vhmMhTmiHjlmtYBgip3jugHNYzBbe7LRCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"30f24717b2d8cea558d4e909e04982882bfdb35cc283c24c0d3e22c00207c76a","last_reissued_at":"2026-05-17T23:54:01.849221Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:01.849221Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Efficient Continuous Multi-Query Processing over Graph Streams","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DS","authors_text":"Christos Tryfonopoulos, Katja Hose, Lefteris Zervakis, Vinay Setty","submitted_at":"2019-02-13T21:14:10Z","abstract_excerpt":"Graphs are ubiquitous and ever-present data structures that have a wide range of applications involving social networks, knowledge bases and biological interactions. The evolution of a graph in such scenarios can yield important insights about the nature and activities of the underlying network, which can then be utilized for applications such as news dissemination, network monitoring, and content curation. Capturing the continuous evolution of a graph can be achieved by long-standing sub-graph queries. Although, for many applications this can only be achieved by a set of queries, state-of-the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.05134","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":""},"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":"1902.05134","created_at":"2026-05-17T23:54:01.849334+00:00"},{"alias_kind":"arxiv_version","alias_value":"1902.05134v1","created_at":"2026-05-17T23:54:01.849334+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.05134","created_at":"2026-05-17T23:54:01.849334+00:00"},{"alias_kind":"pith_short_12","alias_value":"GDZEOF5S3DHK","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_16","alias_value":"GDZEOF5S3DHKKWGU","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_8","alias_value":"GDZEOF5S","created_at":"2026-05-18T12:33:18.533446+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/GDZEOF5S3DHKKWGU5EE6ASMCRA","json":"https://pith.science/pith/GDZEOF5S3DHKKWGU5EE6ASMCRA.json","graph_json":"https://pith.science/api/pith-number/GDZEOF5S3DHKKWGU5EE6ASMCRA/graph.json","events_json":"https://pith.science/api/pith-number/GDZEOF5S3DHKKWGU5EE6ASMCRA/events.json","paper":"https://pith.science/paper/GDZEOF5S"},"agent_actions":{"view_html":"https://pith.science/pith/GDZEOF5S3DHKKWGU5EE6ASMCRA","download_json":"https://pith.science/pith/GDZEOF5S3DHKKWGU5EE6ASMCRA.json","view_paper":"https://pith.science/paper/GDZEOF5S","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1902.05134&json=true","fetch_graph":"https://pith.science/api/pith-number/GDZEOF5S3DHKKWGU5EE6ASMCRA/graph.json","fetch_events":"https://pith.science/api/pith-number/GDZEOF5S3DHKKWGU5EE6ASMCRA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GDZEOF5S3DHKKWGU5EE6ASMCRA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GDZEOF5S3DHKKWGU5EE6ASMCRA/action/storage_attestation","attest_author":"https://pith.science/pith/GDZEOF5S3DHKKWGU5EE6ASMCRA/action/author_attestation","sign_citation":"https://pith.science/pith/GDZEOF5S3DHKKWGU5EE6ASMCRA/action/citation_signature","submit_replication":"https://pith.science/pith/GDZEOF5S3DHKKWGU5EE6ASMCRA/action/replication_record"}},"created_at":"2026-05-17T23:54:01.849334+00:00","updated_at":"2026-05-17T23:54:01.849334+00:00"}