{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:4TCR7XTTL3CYLQGA7CIFKR5IV7","short_pith_number":"pith:4TCR7XTT","schema_version":"1.0","canonical_sha256":"e4c51fde735ec585c0c0f8905547a8afd89cdde1184f416501ded21d8765d17b","source":{"kind":"arxiv","id":"1706.08259","version":1},"attestation_state":"computed","paper":{"title":"Relational Algebra for In-Database Process Mining","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Arthur ter Hofstede, Juntao Gao, Paul Grefen, Remco Dijkman","submitted_at":"2017-06-26T07:31:36Z","abstract_excerpt":"The execution logs that are used for process mining in practice are often obtained by querying an operational database and storing the result in a flat file. Consequently, the data processing power of the database system cannot be used anymore for this information, leading to constrained flexibility in the definition of mining patterns and limited execution performance in mining large logs. Enabling process mining directly on a database - instead of via intermediate storage in a flat file - therefore provides additional flexibility and efficiency. To help facilitate this ideal of in-database p"},"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":"1706.08259","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-06-26T07:31:36Z","cross_cats_sorted":[],"title_canon_sha256":"7f0db17f0ecb358b2e1e52b3cb69513d19785addf0c00c561ffd3af6582e7b01","abstract_canon_sha256":"767f98f37602398fbb5cc57eea71a0c2c1b3812322b1ee08bbf01434475f9488"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:41:43.041883Z","signature_b64":"7jqHWp6OrtnSF7sEKLzQP/X3+v0oHSMSNPC7/jJtt5sJmqA+MLSYvR2Ifsu6qwD6VBpUEDVAOsq8wlx1nzAPCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e4c51fde735ec585c0c0f8905547a8afd89cdde1184f416501ded21d8765d17b","last_reissued_at":"2026-05-18T00:41:43.041291Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:41:43.041291Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Relational Algebra for In-Database Process Mining","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Arthur ter Hofstede, Juntao Gao, Paul Grefen, Remco Dijkman","submitted_at":"2017-06-26T07:31:36Z","abstract_excerpt":"The execution logs that are used for process mining in practice are often obtained by querying an operational database and storing the result in a flat file. Consequently, the data processing power of the database system cannot be used anymore for this information, leading to constrained flexibility in the definition of mining patterns and limited execution performance in mining large logs. Enabling process mining directly on a database - instead of via intermediate storage in a flat file - therefore provides additional flexibility and efficiency. To help facilitate this ideal of in-database p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.08259","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":"1706.08259","created_at":"2026-05-18T00:41:43.041397+00:00"},{"alias_kind":"arxiv_version","alias_value":"1706.08259v1","created_at":"2026-05-18T00:41:43.041397+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.08259","created_at":"2026-05-18T00:41:43.041397+00:00"},{"alias_kind":"pith_short_12","alias_value":"4TCR7XTTL3CY","created_at":"2026-05-18T12:31:00.734936+00:00"},{"alias_kind":"pith_short_16","alias_value":"4TCR7XTTL3CYLQGA","created_at":"2026-05-18T12:31:00.734936+00:00"},{"alias_kind":"pith_short_8","alias_value":"4TCR7XTT","created_at":"2026-05-18T12:31:00.734936+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/4TCR7XTTL3CYLQGA7CIFKR5IV7","json":"https://pith.science/pith/4TCR7XTTL3CYLQGA7CIFKR5IV7.json","graph_json":"https://pith.science/api/pith-number/4TCR7XTTL3CYLQGA7CIFKR5IV7/graph.json","events_json":"https://pith.science/api/pith-number/4TCR7XTTL3CYLQGA7CIFKR5IV7/events.json","paper":"https://pith.science/paper/4TCR7XTT"},"agent_actions":{"view_html":"https://pith.science/pith/4TCR7XTTL3CYLQGA7CIFKR5IV7","download_json":"https://pith.science/pith/4TCR7XTTL3CYLQGA7CIFKR5IV7.json","view_paper":"https://pith.science/paper/4TCR7XTT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1706.08259&json=true","fetch_graph":"https://pith.science/api/pith-number/4TCR7XTTL3CYLQGA7CIFKR5IV7/graph.json","fetch_events":"https://pith.science/api/pith-number/4TCR7XTTL3CYLQGA7CIFKR5IV7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4TCR7XTTL3CYLQGA7CIFKR5IV7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4TCR7XTTL3CYLQGA7CIFKR5IV7/action/storage_attestation","attest_author":"https://pith.science/pith/4TCR7XTTL3CYLQGA7CIFKR5IV7/action/author_attestation","sign_citation":"https://pith.science/pith/4TCR7XTTL3CYLQGA7CIFKR5IV7/action/citation_signature","submit_replication":"https://pith.science/pith/4TCR7XTTL3CYLQGA7CIFKR5IV7/action/replication_record"}},"created_at":"2026-05-18T00:41:43.041397+00:00","updated_at":"2026-05-18T00:41:43.041397+00:00"}