{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:2A2M367T5NPYPGWLBED6SX54RV","short_pith_number":"pith:2A2M367T","schema_version":"1.0","canonical_sha256":"d034cdfbf3eb5f879acb0907e95fbc8d57cf8380364d848aa4d489ed794c3b4f","source":{"kind":"arxiv","id":"2502.18493","version":1},"attestation_state":"computed","paper":{"title":"Rule-based autocorrection of Piping and Instrumentation Diagrams (P&IDs) on graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CE","authors_text":"Artur M. Schweidtmann, Dominik P. Goldstein, Ge H. M. Driessen, Kevin Dao, Lukas Schulze Balhorn, MinJi Kim, Niels Seijsener","submitted_at":"2025-02-18T09:35:09Z","abstract_excerpt":"A piping and instrumentation diagram (P&ID) is a central reference document in chemical process engineering. Currently, chemical engineers manually review P&IDs through visual inspection to find and rectify errors. However, engineering projects can involve hundreds to thousands of P&ID pages, creating a significant revision workload. This study proposes a rule-based method to support engineers with error detection and correction in P&IDs. The method is based on a graph representation of P&IDs, enabling automated error detection and correction, i.e., autocorrection, through rule graphs. We use "},"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":"2502.18493","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2025-02-18T09:35:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"dc3b460c10573fadbcfc1328e5e4eddc4a61b07708f533acd1a71c7be975027b","abstract_canon_sha256":"d294a7f0c70ff8a99f2dbeaf331f9452d10bf5e0028d47170335ee5150074426"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:05:10.320808Z","signature_b64":"3afdKZmzhN1GqgyoND9P0ije5oLOZI1ZKd/FKpCVOBOrIzfIiTopUimx58jB3QKTrHMTADTNDGFO1blVbPlgDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d034cdfbf3eb5f879acb0907e95fbc8d57cf8380364d848aa4d489ed794c3b4f","last_reissued_at":"2026-05-28T01:05:10.320380Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:05:10.320380Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Rule-based autocorrection of Piping and Instrumentation Diagrams (P&IDs) on graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CE","authors_text":"Artur M. Schweidtmann, Dominik P. Goldstein, Ge H. M. Driessen, Kevin Dao, Lukas Schulze Balhorn, MinJi Kim, Niels Seijsener","submitted_at":"2025-02-18T09:35:09Z","abstract_excerpt":"A piping and instrumentation diagram (P&ID) is a central reference document in chemical process engineering. Currently, chemical engineers manually review P&IDs through visual inspection to find and rectify errors. However, engineering projects can involve hundreds to thousands of P&ID pages, creating a significant revision workload. This study proposes a rule-based method to support engineers with error detection and correction in P&IDs. The method is based on a graph representation of P&IDs, enabling automated error detection and correction, i.e., autocorrection, through rule graphs. We use "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.18493","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2502.18493/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2502.18493","created_at":"2026-05-28T01:05:10.320445+00:00"},{"alias_kind":"arxiv_version","alias_value":"2502.18493v1","created_at":"2026-05-28T01:05:10.320445+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.18493","created_at":"2026-05-28T01:05:10.320445+00:00"},{"alias_kind":"pith_short_12","alias_value":"2A2M367T5NPY","created_at":"2026-05-28T01:05:10.320445+00:00"},{"alias_kind":"pith_short_16","alias_value":"2A2M367T5NPYPGWL","created_at":"2026-05-28T01:05:10.320445+00:00"},{"alias_kind":"pith_short_8","alias_value":"2A2M367T","created_at":"2026-05-28T01:05:10.320445+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/2A2M367T5NPYPGWLBED6SX54RV","json":"https://pith.science/pith/2A2M367T5NPYPGWLBED6SX54RV.json","graph_json":"https://pith.science/api/pith-number/2A2M367T5NPYPGWLBED6SX54RV/graph.json","events_json":"https://pith.science/api/pith-number/2A2M367T5NPYPGWLBED6SX54RV/events.json","paper":"https://pith.science/paper/2A2M367T"},"agent_actions":{"view_html":"https://pith.science/pith/2A2M367T5NPYPGWLBED6SX54RV","download_json":"https://pith.science/pith/2A2M367T5NPYPGWLBED6SX54RV.json","view_paper":"https://pith.science/paper/2A2M367T","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2502.18493&json=true","fetch_graph":"https://pith.science/api/pith-number/2A2M367T5NPYPGWLBED6SX54RV/graph.json","fetch_events":"https://pith.science/api/pith-number/2A2M367T5NPYPGWLBED6SX54RV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2A2M367T5NPYPGWLBED6SX54RV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2A2M367T5NPYPGWLBED6SX54RV/action/storage_attestation","attest_author":"https://pith.science/pith/2A2M367T5NPYPGWLBED6SX54RV/action/author_attestation","sign_citation":"https://pith.science/pith/2A2M367T5NPYPGWLBED6SX54RV/action/citation_signature","submit_replication":"https://pith.science/pith/2A2M367T5NPYPGWLBED6SX54RV/action/replication_record"}},"created_at":"2026-05-28T01:05:10.320445+00:00","updated_at":"2026-05-28T01:05:10.320445+00:00"}