{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:RJ3RQFMHBFZMJICKMZHA53JNCD","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":"38851ecafe0e51b70c181080de172c41924b70b341ec2758e3b42f6932f16d33","cross_cats_sorted":["econ.GN","q-fin.EC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2023-12-15T14:49:13Z","title_canon_sha256":"5049f9fa645ef64fba7de2fdc693e610418322a7610c3ad8e417944a409c902d"},"schema_version":"1.0","source":{"id":"2312.09843","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.09843","created_at":"2026-07-05T07:48:02Z"},{"alias_kind":"arxiv_version","alias_value":"2312.09843v2","created_at":"2026-07-05T07:48:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.09843","created_at":"2026-07-05T07:48:02Z"},{"alias_kind":"pith_short_12","alias_value":"RJ3RQFMHBFZM","created_at":"2026-07-05T07:48:02Z"},{"alias_kind":"pith_short_16","alias_value":"RJ3RQFMHBFZMJICK","created_at":"2026-07-05T07:48:02Z"},{"alias_kind":"pith_short_8","alias_value":"RJ3RQFMH","created_at":"2026-07-05T07:48:02Z"}],"graph_snapshots":[{"event_id":"sha256:6f39a66ac7639891b1fe6c1210acc9e81d877ccb65c439a8990bb702d6db8aea","target":"graph","created_at":"2026-07-05T07:48:02Z","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/2312.09843/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"New technologies have the power to revolutionize science. It has happened in the past and is happening again with the emergence of new computational tools, such as artificial intelligence and machine learning. Despite the documented impact of these technologies, there remains a significant gap in understanding the process of their adoption within the scientific community. In this paper, we draw on theories of scientific and technical human capital to study the integration of AI in scientific research, focusing on the human capital of scientists and the external resources available within their","authors_text":"Moritz M\\\"uller, Pierre Pelletier, Stefano Bianchini","cross_cats":["econ.GN","q-fin.EC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2023-12-15T14:49:13Z","title":"Drivers and Barriers of AI Adoption and Use in Scientific Research"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.09843","kind":"arxiv","version":2},"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":"sha256:310d5bfe6c60e6cfd2f2e7976b79459d6aa1c2752c21f15ce07626de9a1fe03f","target":"record","created_at":"2026-07-05T07:48:02Z","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":"38851ecafe0e51b70c181080de172c41924b70b341ec2758e3b42f6932f16d33","cross_cats_sorted":["econ.GN","q-fin.EC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2023-12-15T14:49:13Z","title_canon_sha256":"5049f9fa645ef64fba7de2fdc693e610418322a7610c3ad8e417944a409c902d"},"schema_version":"1.0","source":{"id":"2312.09843","kind":"arxiv","version":2}},"canonical_sha256":"8a771815870972c4a04a664e0eed2d10cc10213dc32530676bf0b909351b42e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8a771815870972c4a04a664e0eed2d10cc10213dc32530676bf0b909351b42e0","first_computed_at":"2026-07-05T07:48:02.023194Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:48:02.023194Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HbdO3SGb8niBU44zyl6dw0aROQx387a1ousfuWQC0i6wLL8rrHvBsYb/Lf+HAWe4euKeuBP1q9AbOHmSsFXVDw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:48:02.023641Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.09843","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:310d5bfe6c60e6cfd2f2e7976b79459d6aa1c2752c21f15ce07626de9a1fe03f","sha256:6f39a66ac7639891b1fe6c1210acc9e81d877ccb65c439a8990bb702d6db8aea"],"state_sha256":"f1bfd1815d86f0cd805c05a00f792183283bf11c45e779457c633eb1d07d0874"}