{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:EXY3L4PGDTYSDGIZCFAOZIXNPN","short_pith_number":"pith:EXY3L4PG","schema_version":"1.0","canonical_sha256":"25f1b5f1e61cf12199191140eca2ed7b451297832ad87580936429e0993d2367","source":{"kind":"arxiv","id":"2406.12881","version":1},"attestation_state":"computed","paper":{"title":"Towards Unlocking Insights from Logbooks Using AI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"physics.acc-ph","authors_text":"Alex Bien, Annika Eichler, Antonin Sulc, Daniel Ratner, Florian Rehm, Frank Mayet, Gregor Hartmann, Hayden Hoschouer, Henrik Tuennermann, Jan Kaiser, Jason St. John, Jennefer Maldonado, Kyle Hazelwood, Raimund Kammering, Thorsten Hellert, Tim Wilksen, Verena Kain, Wan-Lin Hu","submitted_at":"2024-05-25T13:38:15Z","abstract_excerpt":"Electronic logbooks contain valuable information about activities and events concerning their associated particle accelerator facilities. However, the highly technical nature of logbook entries can hinder their usability and automation. As natural language processing (NLP) continues advancing, it offers opportunities to address various challenges that logbooks present. This work explores jointly testing a tailored Retrieval Augmented Generation (RAG) model for enhancing the usability of particle accelerator logbooks at institutes like DESY, BESSY, Fermilab, BNL, SLAC, LBNL, and CERN. The RAG m"},"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":"2406.12881","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.acc-ph","submitted_at":"2024-05-25T13:38:15Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"15a239180dc67273386fe52668d60f6d11ba3adea95da3eada5af175ba033d96","abstract_canon_sha256":"7b8e5bac09677179a82fca5afa691e9b1b56e1b18faca750949c265f9580459c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:33:52.777059Z","signature_b64":"j/FwwI8aSPajFGm91WAqoDx7B4BNSb2qbn/OcyyBiApk+Ny06BXi3KTL3yDpDT7wtf50lRWx/XZq18xP1IMWBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"25f1b5f1e61cf12199191140eca2ed7b451297832ad87580936429e0993d2367","last_reissued_at":"2026-07-05T08:33:52.776573Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:33:52.776573Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards Unlocking Insights from Logbooks Using AI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"physics.acc-ph","authors_text":"Alex Bien, Annika Eichler, Antonin Sulc, Daniel Ratner, Florian Rehm, Frank Mayet, Gregor Hartmann, Hayden Hoschouer, Henrik Tuennermann, Jan Kaiser, Jason St. John, Jennefer Maldonado, Kyle Hazelwood, Raimund Kammering, Thorsten Hellert, Tim Wilksen, Verena Kain, Wan-Lin Hu","submitted_at":"2024-05-25T13:38:15Z","abstract_excerpt":"Electronic logbooks contain valuable information about activities and events concerning their associated particle accelerator facilities. However, the highly technical nature of logbook entries can hinder their usability and automation. As natural language processing (NLP) continues advancing, it offers opportunities to address various challenges that logbooks present. This work explores jointly testing a tailored Retrieval Augmented Generation (RAG) model for enhancing the usability of particle accelerator logbooks at institutes like DESY, BESSY, Fermilab, BNL, SLAC, LBNL, and CERN. The RAG m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12881","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/2406.12881/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":"2406.12881","created_at":"2026-07-05T08:33:52.776632+00:00"},{"alias_kind":"arxiv_version","alias_value":"2406.12881v1","created_at":"2026-07-05T08:33:52.776632+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12881","created_at":"2026-07-05T08:33:52.776632+00:00"},{"alias_kind":"pith_short_12","alias_value":"EXY3L4PGDTYS","created_at":"2026-07-05T08:33:52.776632+00:00"},{"alias_kind":"pith_short_16","alias_value":"EXY3L4PGDTYSDGIZ","created_at":"2026-07-05T08:33:52.776632+00:00"},{"alias_kind":"pith_short_8","alias_value":"EXY3L4PG","created_at":"2026-07-05T08:33:52.776632+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.04755","citing_title":"Archi: Agentic Operations at the CMS Experiment","ref_index":20,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/EXY3L4PGDTYSDGIZCFAOZIXNPN","json":"https://pith.science/pith/EXY3L4PGDTYSDGIZCFAOZIXNPN.json","graph_json":"https://pith.science/api/pith-number/EXY3L4PGDTYSDGIZCFAOZIXNPN/graph.json","events_json":"https://pith.science/api/pith-number/EXY3L4PGDTYSDGIZCFAOZIXNPN/events.json","paper":"https://pith.science/paper/EXY3L4PG"},"agent_actions":{"view_html":"https://pith.science/pith/EXY3L4PGDTYSDGIZCFAOZIXNPN","download_json":"https://pith.science/pith/EXY3L4PGDTYSDGIZCFAOZIXNPN.json","view_paper":"https://pith.science/paper/EXY3L4PG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2406.12881&json=true","fetch_graph":"https://pith.science/api/pith-number/EXY3L4PGDTYSDGIZCFAOZIXNPN/graph.json","fetch_events":"https://pith.science/api/pith-number/EXY3L4PGDTYSDGIZCFAOZIXNPN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EXY3L4PGDTYSDGIZCFAOZIXNPN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EXY3L4PGDTYSDGIZCFAOZIXNPN/action/storage_attestation","attest_author":"https://pith.science/pith/EXY3L4PGDTYSDGIZCFAOZIXNPN/action/author_attestation","sign_citation":"https://pith.science/pith/EXY3L4PGDTYSDGIZCFAOZIXNPN/action/citation_signature","submit_replication":"https://pith.science/pith/EXY3L4PGDTYSDGIZCFAOZIXNPN/action/replication_record"}},"created_at":"2026-07-05T08:33:52.776632+00:00","updated_at":"2026-07-05T08:33:52.776632+00:00"}