{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:KPP4TQTMNUCY33EKOUR3PY4YHQ","short_pith_number":"pith:KPP4TQTM","schema_version":"1.0","canonical_sha256":"53dfc9c26c6d058dec8a7523b7e3983c3ce90a2b3a30a0863cb8a6a52414f4bb","source":{"kind":"arxiv","id":"2606.20635","version":1},"attestation_state":"computed","paper":{"title":"Measuring the Occupation-Level Impact of AbbVie Intelligence: AI Applicability Analysis, 2024-2025","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Brian Martin, John Regan, Jon Stevens","submitted_at":"2026-05-31T18:17:20Z","abstract_excerpt":"This paper presents an empirical analysis of AbbVie Intelligence's measurable impact on employee work activities across 192 distinct occupations in 2024 and 2025. Drawing on 598,744 de-identified AI conversations classified according to the O*NET Intermediate Work Activity (IWA) taxonomy, we compute occupation-level AI Applicability Scores that quantify the extent to which AI tools can meaningfully assist or automate real work at scale. Three convergent analyses are conducted: (1) longitudinal year-over-year trends from 2024 to 2025, (2) a quasi-experimental pre-post evaluation of the AbbVie I"},"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":"2606.20635","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-31T18:17:20Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e3f02c5209e7d8e6956b47f4b1a6b4127fe145735929684f3e4bb5c7bec6cbaa","abstract_canon_sha256":"0f98246b9b3624d97ac2f352450bc56fd885ada198219da90d08deb4e2ef0ed8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T00:11:52.103064Z","signature_b64":"ZJu5G/lyyPouNHSLiAxujWAtzB6aYGPl1Nle3soqHTe5gH6b6suJ8Lz2M0W9aj3KSBNrSILNQMHC0U2uuSl2Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"53dfc9c26c6d058dec8a7523b7e3983c3ce90a2b3a30a0863cb8a6a52414f4bb","last_reissued_at":"2026-06-23T00:11:52.102539Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T00:11:52.102539Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Measuring the Occupation-Level Impact of AbbVie Intelligence: AI Applicability Analysis, 2024-2025","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Brian Martin, John Regan, Jon Stevens","submitted_at":"2026-05-31T18:17:20Z","abstract_excerpt":"This paper presents an empirical analysis of AbbVie Intelligence's measurable impact on employee work activities across 192 distinct occupations in 2024 and 2025. Drawing on 598,744 de-identified AI conversations classified according to the O*NET Intermediate Work Activity (IWA) taxonomy, we compute occupation-level AI Applicability Scores that quantify the extent to which AI tools can meaningfully assist or automate real work at scale. Three convergent analyses are conducted: (1) longitudinal year-over-year trends from 2024 to 2025, (2) a quasi-experimental pre-post evaluation of the AbbVie I"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20635","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/2606.20635/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":"2606.20635","created_at":"2026-06-23T00:11:52.102637+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.20635v1","created_at":"2026-06-23T00:11:52.102637+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20635","created_at":"2026-06-23T00:11:52.102637+00:00"},{"alias_kind":"pith_short_12","alias_value":"KPP4TQTMNUCY","created_at":"2026-06-23T00:11:52.102637+00:00"},{"alias_kind":"pith_short_16","alias_value":"KPP4TQTMNUCY33EK","created_at":"2026-06-23T00:11:52.102637+00:00"},{"alias_kind":"pith_short_8","alias_value":"KPP4TQTM","created_at":"2026-06-23T00:11:52.102637+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/KPP4TQTMNUCY33EKOUR3PY4YHQ","json":"https://pith.science/pith/KPP4TQTMNUCY33EKOUR3PY4YHQ.json","graph_json":"https://pith.science/api/pith-number/KPP4TQTMNUCY33EKOUR3PY4YHQ/graph.json","events_json":"https://pith.science/api/pith-number/KPP4TQTMNUCY33EKOUR3PY4YHQ/events.json","paper":"https://pith.science/paper/KPP4TQTM"},"agent_actions":{"view_html":"https://pith.science/pith/KPP4TQTMNUCY33EKOUR3PY4YHQ","download_json":"https://pith.science/pith/KPP4TQTMNUCY33EKOUR3PY4YHQ.json","view_paper":"https://pith.science/paper/KPP4TQTM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.20635&json=true","fetch_graph":"https://pith.science/api/pith-number/KPP4TQTMNUCY33EKOUR3PY4YHQ/graph.json","fetch_events":"https://pith.science/api/pith-number/KPP4TQTMNUCY33EKOUR3PY4YHQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KPP4TQTMNUCY33EKOUR3PY4YHQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KPP4TQTMNUCY33EKOUR3PY4YHQ/action/storage_attestation","attest_author":"https://pith.science/pith/KPP4TQTMNUCY33EKOUR3PY4YHQ/action/author_attestation","sign_citation":"https://pith.science/pith/KPP4TQTMNUCY33EKOUR3PY4YHQ/action/citation_signature","submit_replication":"https://pith.science/pith/KPP4TQTMNUCY33EKOUR3PY4YHQ/action/replication_record"}},"created_at":"2026-06-23T00:11:52.102637+00:00","updated_at":"2026-06-23T00:11:52.102637+00:00"}