{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RPEPBUKAYTCTOSUSAHVRTGRMGN","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"28284a899df2507d95b2f0d9f4cee73dd5dd53d989006354c47ceb4e422af338","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2024-08-08T13:12:46Z","title_canon_sha256":"567df4ecd9c30ed654d068dba86b7869365c7f187197994493e35c4083436c82"},"schema_version":"1.0","source":{"id":"2408.08892","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.08892","created_at":"2026-07-05T09:09:25Z"},{"alias_kind":"arxiv_version","alias_value":"2408.08892v3","created_at":"2026-07-05T09:09:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.08892","created_at":"2026-07-05T09:09:25Z"},{"alias_kind":"pith_short_12","alias_value":"RPEPBUKAYTCT","created_at":"2026-07-05T09:09:25Z"},{"alias_kind":"pith_short_16","alias_value":"RPEPBUKAYTCTOSUS","created_at":"2026-07-05T09:09:25Z"},{"alias_kind":"pith_short_8","alias_value":"RPEPBUKA","created_at":"2026-07-05T09:09:25Z"}],"graph_snapshots":[{"event_id":"sha256:6481c292dee3388c4e8bd2c6ee1e0f18c429bd467ad6f37054d66d363c7867ad","target":"graph","created_at":"2026-07-05T09:09:25Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2408.08892/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In Business Process Management (BPM), effectively comprehending process models is crucial yet poses significant challenges, particularly as organizations scale and processes become more complex. This paper introduces a novel framework utilizing the advanced capabilities of Large Language Models (LLMs) to enhance the interpretability of complex process models. We present different methods for abstracting business process models into a format accessible to LLMs, and we implement advanced prompting strategies specifically designed to optimize LLM performance within our framework. Additionally, we","authors_text":"Ahmad Arslan, Alessandro Berti, Chiao-Yun Li, Daniel Schuster, Humam Kourani, Jasmin Hennrich, Robin Weidlich, Wil M.P. van der Aalst, Wolfgang Kratsch","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2024-08-08T13:12:46Z","title":"Leveraging Large Language Models for Enhanced Process Model Comprehension"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.08892","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b3e0493685a2b979fedc82aaf31039f104d98e0a89cc4bc8ff104b7d463c8f80","target":"record","created_at":"2026-07-05T09:09:25Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"28284a899df2507d95b2f0d9f4cee73dd5dd53d989006354c47ceb4e422af338","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2024-08-08T13:12:46Z","title_canon_sha256":"567df4ecd9c30ed654d068dba86b7869365c7f187197994493e35c4083436c82"},"schema_version":"1.0","source":{"id":"2408.08892","kind":"arxiv","version":3}},"canonical_sha256":"8bc8f0d140c4c5374a9201eb199a2c3340f6a219b636ff95f6277b68d8d2fe33","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8bc8f0d140c4c5374a9201eb199a2c3340f6a219b636ff95f6277b68d8d2fe33","first_computed_at":"2026-07-05T09:09:25.034284Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:09:25.034284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"i+PdMRmK4Yo0aRsx4P3lVTbsmHdDlr3UEDB2ZtXAJoeBuWsWKgI9lu7IB3jExNxEi8sVQurp9mFtEXexqhSjBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:09:25.034753Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.08892","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3e0493685a2b979fedc82aaf31039f104d98e0a89cc4bc8ff104b7d463c8f80","sha256:6481c292dee3388c4e8bd2c6ee1e0f18c429bd467ad6f37054d66d363c7867ad"],"state_sha256":"98900ee6a9357738b02596b672fd3ca3a6421ba9f306cdc9b72fc18fb1607ac9"}