{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:L3M6HQD4FVZYMNJ33BBO2AKOAL","short_pith_number":"pith:L3M6HQD4","schema_version":"1.0","canonical_sha256":"5ed9e3c07c2d7386353bd842ed014e02d829d2976abb0e7b995157650329d181","source":{"kind":"arxiv","id":"1804.03965","version":1},"attestation_state":"computed","paper":{"title":"A Comparative Evaluation of Log-Based Process Performance Analysis Techniques","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.PF","authors_text":"Fabrizio M. Maggi, Fredrik Milani","submitted_at":"2018-04-11T13:04:02Z","abstract_excerpt":"Process mining has gained traction over the past decade and an impressive body of research has resulted in the introduction of a variety of process mining approaches measuring process performance. Having this set of techniques available, organizations might find it difficult to identify which approach is best suited considering context, performance indicator, and data availability. In light of this challenge, this paper aims at introducing a framework for categorizing and selecting performance analysis approaches based on existing research. We start from a systematic literature review for iden"},"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":"1804.03965","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PF","submitted_at":"2018-04-11T13:04:02Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"a8828be735063f4f44cd22b62265c29ebb0c439f461f408a1a25731d0e5c81a5","abstract_canon_sha256":"e2083c8ce073046993e8b0b0f440f551c9e155ab83633c0923c28df8d7113f37"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:42.541152Z","signature_b64":"YvtXvvN7hLq/UrNueiTJY0sAL+NN83wWOjQO82TnCsZW91wMMQDNfgnjtQcGNC8e2EKL4yO4st3Cvz5y92pgCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5ed9e3c07c2d7386353bd842ed014e02d829d2976abb0e7b995157650329d181","last_reissued_at":"2026-05-18T00:18:42.540402Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:42.540402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Comparative Evaluation of Log-Based Process Performance Analysis Techniques","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.PF","authors_text":"Fabrizio M. Maggi, Fredrik Milani","submitted_at":"2018-04-11T13:04:02Z","abstract_excerpt":"Process mining has gained traction over the past decade and an impressive body of research has resulted in the introduction of a variety of process mining approaches measuring process performance. Having this set of techniques available, organizations might find it difficult to identify which approach is best suited considering context, performance indicator, and data availability. In light of this challenge, this paper aims at introducing a framework for categorizing and selecting performance analysis approaches based on existing research. We start from a systematic literature review for iden"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.03965","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":"1804.03965","created_at":"2026-05-18T00:18:42.540517+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.03965v1","created_at":"2026-05-18T00:18:42.540517+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.03965","created_at":"2026-05-18T00:18:42.540517+00:00"},{"alias_kind":"pith_short_12","alias_value":"L3M6HQD4FVZY","created_at":"2026-05-18T12:32:33.847187+00:00"},{"alias_kind":"pith_short_16","alias_value":"L3M6HQD4FVZYMNJ3","created_at":"2026-05-18T12:32:33.847187+00:00"},{"alias_kind":"pith_short_8","alias_value":"L3M6HQD4","created_at":"2026-05-18T12:32:33.847187+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/L3M6HQD4FVZYMNJ33BBO2AKOAL","json":"https://pith.science/pith/L3M6HQD4FVZYMNJ33BBO2AKOAL.json","graph_json":"https://pith.science/api/pith-number/L3M6HQD4FVZYMNJ33BBO2AKOAL/graph.json","events_json":"https://pith.science/api/pith-number/L3M6HQD4FVZYMNJ33BBO2AKOAL/events.json","paper":"https://pith.science/paper/L3M6HQD4"},"agent_actions":{"view_html":"https://pith.science/pith/L3M6HQD4FVZYMNJ33BBO2AKOAL","download_json":"https://pith.science/pith/L3M6HQD4FVZYMNJ33BBO2AKOAL.json","view_paper":"https://pith.science/paper/L3M6HQD4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.03965&json=true","fetch_graph":"https://pith.science/api/pith-number/L3M6HQD4FVZYMNJ33BBO2AKOAL/graph.json","fetch_events":"https://pith.science/api/pith-number/L3M6HQD4FVZYMNJ33BBO2AKOAL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/L3M6HQD4FVZYMNJ33BBO2AKOAL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/L3M6HQD4FVZYMNJ33BBO2AKOAL/action/storage_attestation","attest_author":"https://pith.science/pith/L3M6HQD4FVZYMNJ33BBO2AKOAL/action/author_attestation","sign_citation":"https://pith.science/pith/L3M6HQD4FVZYMNJ33BBO2AKOAL/action/citation_signature","submit_replication":"https://pith.science/pith/L3M6HQD4FVZYMNJ33BBO2AKOAL/action/replication_record"}},"created_at":"2026-05-18T00:18:42.540517+00:00","updated_at":"2026-05-18T00:18:42.540517+00:00"}