{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:QRKJ2GFFBAAFZSDUMFAAY2JN2C","short_pith_number":"pith:QRKJ2GFF","schema_version":"1.0","canonical_sha256":"84549d18a508005cc87461400c692dd0a0d177ff7c0cdbf6ad07270a9d7799c5","source":{"kind":"arxiv","id":"2406.08959","version":3},"attestation_state":"computed","paper":{"title":"Beyond Recommendations: From Backward to Forward AI Support of Pilots' Decision-Making Process","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Andreas Butz, Lucas Dullenkopf, Lukas S\\\"usslin, Rulu Liao, Sebastian S. Feger, Yuanting Liu, Zelun Tony Zhang","submitted_at":"2024-06-13T09:44:04Z","abstract_excerpt":"AI is anticipated to enhance human decision-making in high-stakes domains like aviation, but adoption is often hindered by challenges such as inappropriate reliance and poor alignment with users' decision-making. Recent research suggests that a core underlying issue is the recommendation-centric design of many AI systems, i.e., they give end-to-end recommendations and ignore the rest of the decision-making process. Alternative support paradigms are rare, and it remains unclear how the few that do exist compare to recommendation-centric support. In this work, we aimed to empirically compare rec"},"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":"2406.08959","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-06-13T09:44:04Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"33eaef20e54f49437f0d854fb7c751bc52c47e0071b179b35922e857f804ddae","abstract_canon_sha256":"89429adaa8a5788f3ed768050518e4772e18c2062ad8b50e9cdd7957012b66da"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:09:23.311780Z","signature_b64":"39juoZ+4PbzzOkyZoKKYpkg/jRiIlKpxKcEPKC8kwYt+nR8N6qMT/XNmhGnQOoww5cxSijtEW+I5QUtEXOjOAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"84549d18a508005cc87461400c692dd0a0d177ff7c0cdbf6ad07270a9d7799c5","last_reissued_at":"2026-07-05T09:09:23.311278Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:09:23.311278Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Beyond Recommendations: From Backward to Forward AI Support of Pilots' Decision-Making Process","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Andreas Butz, Lucas Dullenkopf, Lukas S\\\"usslin, Rulu Liao, Sebastian S. Feger, Yuanting Liu, Zelun Tony Zhang","submitted_at":"2024-06-13T09:44:04Z","abstract_excerpt":"AI is anticipated to enhance human decision-making in high-stakes domains like aviation, but adoption is often hindered by challenges such as inappropriate reliance and poor alignment with users' decision-making. Recent research suggests that a core underlying issue is the recommendation-centric design of many AI systems, i.e., they give end-to-end recommendations and ignore the rest of the decision-making process. Alternative support paradigms are rare, and it remains unclear how the few that do exist compare to recommendation-centric support. In this work, we aimed to empirically compare rec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.08959","kind":"arxiv","version":3},"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/2406.08959/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":"2406.08959","created_at":"2026-07-05T09:09:23.311340+00:00"},{"alias_kind":"arxiv_version","alias_value":"2406.08959v3","created_at":"2026-07-05T09:09:23.311340+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.08959","created_at":"2026-07-05T09:09:23.311340+00:00"},{"alias_kind":"pith_short_12","alias_value":"QRKJ2GFFBAAF","created_at":"2026-07-05T09:09:23.311340+00:00"},{"alias_kind":"pith_short_16","alias_value":"QRKJ2GFFBAAFZSDU","created_at":"2026-07-05T09:09:23.311340+00:00"},{"alias_kind":"pith_short_8","alias_value":"QRKJ2GFF","created_at":"2026-07-05T09:09:23.311340+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2501.15573","citing_title":"Approximate Message Passing for Bayesian Neural Networks","ref_index":32,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QRKJ2GFFBAAFZSDUMFAAY2JN2C","json":"https://pith.science/pith/QRKJ2GFFBAAFZSDUMFAAY2JN2C.json","graph_json":"https://pith.science/api/pith-number/QRKJ2GFFBAAFZSDUMFAAY2JN2C/graph.json","events_json":"https://pith.science/api/pith-number/QRKJ2GFFBAAFZSDUMFAAY2JN2C/events.json","paper":"https://pith.science/paper/QRKJ2GFF"},"agent_actions":{"view_html":"https://pith.science/pith/QRKJ2GFFBAAFZSDUMFAAY2JN2C","download_json":"https://pith.science/pith/QRKJ2GFFBAAFZSDUMFAAY2JN2C.json","view_paper":"https://pith.science/paper/QRKJ2GFF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2406.08959&json=true","fetch_graph":"https://pith.science/api/pith-number/QRKJ2GFFBAAFZSDUMFAAY2JN2C/graph.json","fetch_events":"https://pith.science/api/pith-number/QRKJ2GFFBAAFZSDUMFAAY2JN2C/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QRKJ2GFFBAAFZSDUMFAAY2JN2C/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QRKJ2GFFBAAFZSDUMFAAY2JN2C/action/storage_attestation","attest_author":"https://pith.science/pith/QRKJ2GFFBAAFZSDUMFAAY2JN2C/action/author_attestation","sign_citation":"https://pith.science/pith/QRKJ2GFFBAAFZSDUMFAAY2JN2C/action/citation_signature","submit_replication":"https://pith.science/pith/QRKJ2GFFBAAFZSDUMFAAY2JN2C/action/replication_record"}},"created_at":"2026-07-05T09:09:23.311340+00:00","updated_at":"2026-07-05T09:09:23.311340+00:00"}