{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:MAIIMC5MFTZX4I4CNJL4IWAHSE","short_pith_number":"pith:MAIIMC5M","schema_version":"1.0","canonical_sha256":"6010860bac2cf37e23826a57c45807910fd7ebac3fb15d8e138646b237f81b54","source":{"kind":"arxiv","id":"1506.08415","version":3},"attestation_state":"computed","paper":{"title":"PLG2: Multiperspective Processes Randomization and Simulation for Online and Offline Settings","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Andrea Burattin","submitted_at":"2015-06-28T15:28:24Z","abstract_excerpt":"Process mining represents an important field in BPM and data mining research. Recently, it has gained importance also for practitioners: more and more companies are creating business process intelligence solutions. The evaluation of process mining algorithms requires, as any other data mining task, the availability of large amount of real-world data. Despite the increasing availability of such datasets, they are affected by many limitations, in primis the absence of a \"gold standard\" (i.e., the reference model).\n  This paper extends an approach, already available in the literature, for the gen"},"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":"1506.08415","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2015-06-28T15:28:24Z","cross_cats_sorted":[],"title_canon_sha256":"63e3c2607e54b9f1dfde1e45f35c66022164d60ed1b3167845d67e4f5f74e93f","abstract_canon_sha256":"9a49f729d823c56673b16d4ac8691b94323994762021790af261908ccfb26105"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:10:20.375451Z","signature_b64":"E3wTBNbgV2VQFob7spDIiVr21yHRpD2jPjoWUVrLL588WExVLkH6XkrVF2yzhwGBGc41ag58ljIIk8cahbCQDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6010860bac2cf37e23826a57c45807910fd7ebac3fb15d8e138646b237f81b54","last_reissued_at":"2026-05-18T01:10:20.374907Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:10:20.374907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PLG2: Multiperspective Processes Randomization and Simulation for Online and Offline Settings","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Andrea Burattin","submitted_at":"2015-06-28T15:28:24Z","abstract_excerpt":"Process mining represents an important field in BPM and data mining research. Recently, it has gained importance also for practitioners: more and more companies are creating business process intelligence solutions. The evaluation of process mining algorithms requires, as any other data mining task, the availability of large amount of real-world data. Despite the increasing availability of such datasets, they are affected by many limitations, in primis the absence of a \"gold standard\" (i.e., the reference model).\n  This paper extends an approach, already available in the literature, for the gen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1506.08415","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":""},"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":"1506.08415","created_at":"2026-05-18T01:10:20.374988+00:00"},{"alias_kind":"arxiv_version","alias_value":"1506.08415v3","created_at":"2026-05-18T01:10:20.374988+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1506.08415","created_at":"2026-05-18T01:10:20.374988+00:00"},{"alias_kind":"pith_short_12","alias_value":"MAIIMC5MFTZX","created_at":"2026-05-18T12:29:32.376354+00:00"},{"alias_kind":"pith_short_16","alias_value":"MAIIMC5MFTZX4I4C","created_at":"2026-05-18T12:29:32.376354+00:00"},{"alias_kind":"pith_short_8","alias_value":"MAIIMC5M","created_at":"2026-05-18T12:29:32.376354+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/MAIIMC5MFTZX4I4CNJL4IWAHSE","json":"https://pith.science/pith/MAIIMC5MFTZX4I4CNJL4IWAHSE.json","graph_json":"https://pith.science/api/pith-number/MAIIMC5MFTZX4I4CNJL4IWAHSE/graph.json","events_json":"https://pith.science/api/pith-number/MAIIMC5MFTZX4I4CNJL4IWAHSE/events.json","paper":"https://pith.science/paper/MAIIMC5M"},"agent_actions":{"view_html":"https://pith.science/pith/MAIIMC5MFTZX4I4CNJL4IWAHSE","download_json":"https://pith.science/pith/MAIIMC5MFTZX4I4CNJL4IWAHSE.json","view_paper":"https://pith.science/paper/MAIIMC5M","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1506.08415&json=true","fetch_graph":"https://pith.science/api/pith-number/MAIIMC5MFTZX4I4CNJL4IWAHSE/graph.json","fetch_events":"https://pith.science/api/pith-number/MAIIMC5MFTZX4I4CNJL4IWAHSE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MAIIMC5MFTZX4I4CNJL4IWAHSE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MAIIMC5MFTZX4I4CNJL4IWAHSE/action/storage_attestation","attest_author":"https://pith.science/pith/MAIIMC5MFTZX4I4CNJL4IWAHSE/action/author_attestation","sign_citation":"https://pith.science/pith/MAIIMC5MFTZX4I4CNJL4IWAHSE/action/citation_signature","submit_replication":"https://pith.science/pith/MAIIMC5MFTZX4I4CNJL4IWAHSE/action/replication_record"}},"created_at":"2026-05-18T01:10:20.374988+00:00","updated_at":"2026-05-18T01:10:20.374988+00:00"}