{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:O7BRPSJREXJQUUMB66ZERDXR6K","short_pith_number":"pith:O7BRPSJR","schema_version":"1.0","canonical_sha256":"77c317c93125d30a5181f7b2488ef1f2aeee62ca24798ef3101ced3bab130198","source":{"kind":"arxiv","id":"1710.09323","version":1},"attestation_state":"computed","paper":{"title":"Recursion Aware Modeling and Discovery For Hierarchical Software Event Log Analysis (Extended)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.SE","authors_text":"Maikel Leemans, Mark G. J. van den Brand, Wil M. P. van der Aalst","submitted_at":"2017-10-17T08:56:50Z","abstract_excerpt":"This extended paper presents 1) a novel hierarchy and recursion extension to the process tree model; and 2) the first, recursion aware process model discovery technique that leverages hierarchical information in event logs, typically available for software systems. This technique allows us to analyze the operational processes of software systems under real-life conditions at multiple levels of granularity. The work can be positioned in-between reverse engineering and process mining. An implementation of the proposed approach is available as a ProM plugin. Experimental results based on real-lif"},"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":"1710.09323","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2017-10-17T08:56:50Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"12b35046f2c89ecaeab134fde716cbf9525335d30c1bbf4d8cda68616cec2c89","abstract_canon_sha256":"52530b0af1013056f56e3399604dcfa2f593b1f90a87cf9a2828fe838b2f3b2c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:31:59.801689Z","signature_b64":"hiG1h3uiHITdcUGvbG1l1ssDHRTwBYsGrPaUzd1FFehcrINLHAyUlfh2cPtOnaRJ9O21m6+6JgvWxx9bQ+NpCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"77c317c93125d30a5181f7b2488ef1f2aeee62ca24798ef3101ced3bab130198","last_reissued_at":"2026-05-18T00:31:59.801093Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:31:59.801093Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Recursion Aware Modeling and Discovery For Hierarchical Software Event Log Analysis (Extended)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.SE","authors_text":"Maikel Leemans, Mark G. J. van den Brand, Wil M. P. van der Aalst","submitted_at":"2017-10-17T08:56:50Z","abstract_excerpt":"This extended paper presents 1) a novel hierarchy and recursion extension to the process tree model; and 2) the first, recursion aware process model discovery technique that leverages hierarchical information in event logs, typically available for software systems. This technique allows us to analyze the operational processes of software systems under real-life conditions at multiple levels of granularity. The work can be positioned in-between reverse engineering and process mining. An implementation of the proposed approach is available as a ProM plugin. Experimental results based on real-lif"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.09323","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":"1710.09323","created_at":"2026-05-18T00:31:59.801174+00:00"},{"alias_kind":"arxiv_version","alias_value":"1710.09323v1","created_at":"2026-05-18T00:31:59.801174+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.09323","created_at":"2026-05-18T00:31:59.801174+00:00"},{"alias_kind":"pith_short_12","alias_value":"O7BRPSJREXJQ","created_at":"2026-05-18T12:31:34.259226+00:00"},{"alias_kind":"pith_short_16","alias_value":"O7BRPSJREXJQUUMB","created_at":"2026-05-18T12:31:34.259226+00:00"},{"alias_kind":"pith_short_8","alias_value":"O7BRPSJR","created_at":"2026-05-18T12:31:34.259226+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/O7BRPSJREXJQUUMB66ZERDXR6K","json":"https://pith.science/pith/O7BRPSJREXJQUUMB66ZERDXR6K.json","graph_json":"https://pith.science/api/pith-number/O7BRPSJREXJQUUMB66ZERDXR6K/graph.json","events_json":"https://pith.science/api/pith-number/O7BRPSJREXJQUUMB66ZERDXR6K/events.json","paper":"https://pith.science/paper/O7BRPSJR"},"agent_actions":{"view_html":"https://pith.science/pith/O7BRPSJREXJQUUMB66ZERDXR6K","download_json":"https://pith.science/pith/O7BRPSJREXJQUUMB66ZERDXR6K.json","view_paper":"https://pith.science/paper/O7BRPSJR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1710.09323&json=true","fetch_graph":"https://pith.science/api/pith-number/O7BRPSJREXJQUUMB66ZERDXR6K/graph.json","fetch_events":"https://pith.science/api/pith-number/O7BRPSJREXJQUUMB66ZERDXR6K/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/O7BRPSJREXJQUUMB66ZERDXR6K/action/timestamp_anchor","attest_storage":"https://pith.science/pith/O7BRPSJREXJQUUMB66ZERDXR6K/action/storage_attestation","attest_author":"https://pith.science/pith/O7BRPSJREXJQUUMB66ZERDXR6K/action/author_attestation","sign_citation":"https://pith.science/pith/O7BRPSJREXJQUUMB66ZERDXR6K/action/citation_signature","submit_replication":"https://pith.science/pith/O7BRPSJREXJQUUMB66ZERDXR6K/action/replication_record"}},"created_at":"2026-05-18T00:31:59.801174+00:00","updated_at":"2026-05-18T00:31:59.801174+00:00"}