{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:MXBNG2CNWGPP6XBNPJOUZUN6CC","short_pith_number":"pith:MXBNG2CN","schema_version":"1.0","canonical_sha256":"65c2d3684db19eff5c2d7a5d4cd1be10b5884efb2784c4d8a39f689b6a511b28","source":{"kind":"arxiv","id":"2607.24792","version":1},"attestation_state":"computed","paper":{"title":"AI-Assisted Knowledge Access for Legacy Enterprise Asset Management in Energy Operations: A Practical Retrieval System","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Dave Mercier, Issam Hammad, Mark Randall, Mishca de Costa, Muhammad Anwar","submitted_at":"2026-06-28T14:11:27Z","abstract_excerpt":"Energy utilities still run engineering work management, engineering procurement, and inventory processes on long-lived enterprise asset management platforms. Replacing these platforms is often cost prohibitive and operationally disruptive, so practical improvement layers are required. This paper presents a retrieval assistant that improves day-to-day knowledge access across three operational modes: vendor documentation question answering, operational data store (ODS) schema question answering, and user interface usage and how-to question answering. The runtime method combines intent understand"},"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":"2607.24792","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-06-28T14:11:27Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c8c774cb0aa2d9d472eefb1b10cacd8a74ff634f436260e156ac15d2d07434de","abstract_canon_sha256":"e91ca4d23bad291a0b78bd99c15b7af636f492161a491e676acdf8dbb270d8b6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-29T00:24:44.367189Z","signature_b64":"/Gv1g+Wp63QjvxvWH8xb2eSX1jdWTwWN4w+z0VdGHuFjp0rgLjfd8NCGybV7YlLEKwfliq9Cgr0x9DES3vPiDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"65c2d3684db19eff5c2d7a5d4cd1be10b5884efb2784c4d8a39f689b6a511b28","last_reissued_at":"2026-07-29T00:24:44.366380Z","signature_status":"signed_v1","first_computed_at":"2026-07-29T00:24:44.366380Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AI-Assisted Knowledge Access for Legacy Enterprise Asset Management in Energy Operations: A Practical Retrieval System","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Dave Mercier, Issam Hammad, Mark Randall, Mishca de Costa, Muhammad Anwar","submitted_at":"2026-06-28T14:11:27Z","abstract_excerpt":"Energy utilities still run engineering work management, engineering procurement, and inventory processes on long-lived enterprise asset management platforms. Replacing these platforms is often cost prohibitive and operationally disruptive, so practical improvement layers are required. This paper presents a retrieval assistant that improves day-to-day knowledge access across three operational modes: vendor documentation question answering, operational data store (ODS) schema question answering, and user interface usage and how-to question answering. The runtime method combines intent understand"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.24792","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/2607.24792/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":"2607.24792","created_at":"2026-07-29T00:24:44.366800+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.24792v1","created_at":"2026-07-29T00:24:44.366800+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.24792","created_at":"2026-07-29T00:24:44.366800+00:00"},{"alias_kind":"pith_short_12","alias_value":"MXBNG2CNWGPP","created_at":"2026-07-29T00:24:44.366800+00:00"},{"alias_kind":"pith_short_16","alias_value":"MXBNG2CNWGPP6XBN","created_at":"2026-07-29T00:24:44.366800+00:00"},{"alias_kind":"pith_short_8","alias_value":"MXBNG2CN","created_at":"2026-07-29T00:24:44.366800+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/MXBNG2CNWGPP6XBNPJOUZUN6CC","json":"https://pith.science/pith/MXBNG2CNWGPP6XBNPJOUZUN6CC.json","graph_json":"https://pith.science/api/pith-number/MXBNG2CNWGPP6XBNPJOUZUN6CC/graph.json","events_json":"https://pith.science/api/pith-number/MXBNG2CNWGPP6XBNPJOUZUN6CC/events.json","paper":"https://pith.science/paper/MXBNG2CN"},"agent_actions":{"view_html":"https://pith.science/pith/MXBNG2CNWGPP6XBNPJOUZUN6CC","download_json":"https://pith.science/pith/MXBNG2CNWGPP6XBNPJOUZUN6CC.json","view_paper":"https://pith.science/paper/MXBNG2CN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.24792&json=true","fetch_graph":"https://pith.science/api/pith-number/MXBNG2CNWGPP6XBNPJOUZUN6CC/graph.json","fetch_events":"https://pith.science/api/pith-number/MXBNG2CNWGPP6XBNPJOUZUN6CC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MXBNG2CNWGPP6XBNPJOUZUN6CC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MXBNG2CNWGPP6XBNPJOUZUN6CC/action/storage_attestation","attest_author":"https://pith.science/pith/MXBNG2CNWGPP6XBNPJOUZUN6CC/action/author_attestation","sign_citation":"https://pith.science/pith/MXBNG2CNWGPP6XBNPJOUZUN6CC/action/citation_signature","submit_replication":"https://pith.science/pith/MXBNG2CNWGPP6XBNPJOUZUN6CC/action/replication_record"}},"created_at":"2026-07-29T00:24:44.366800+00:00","updated_at":"2026-07-29T00:24:44.366800+00:00"}