{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:IRIH4ORPY7TTTHZ54KPYVOLQGI","short_pith_number":"pith:IRIH4ORP","schema_version":"1.0","canonical_sha256":"44507e3a2fc7e7399f3de29f8ab9703221c0a8b8fe7da0a517787fb4869530af","source":{"kind":"arxiv","id":"2407.07003","version":1},"attestation_state":"computed","paper":{"title":"Learning to Complement and to Defer to Multiple Users","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"David Rosewarne, Gustavo Carneiro, Kevin Wells, Thanh-Toan Do, Wenjie Ai, Zheng Zhang","submitted_at":"2024-07-09T16:16:44Z","abstract_excerpt":"With the development of Human-AI Collaboration in Classification (HAI-CC), integrating users and AI predictions becomes challenging due to the complex decision-making process. This process has three options: 1) AI autonomously classifies, 2) learning to complement, where AI collaborates with users, and 3) learning to defer, where AI defers to users. Despite their interconnected nature, these options have been studied in isolation rather than as components of a unified system. In this paper, we address this weakness with the novel HAI-CC methodology, called Learning to Complement and to Defer t"},"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":"2407.07003","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-09T16:16:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"07a58f01430b2849444c8db004a8d05ecb0542a7c542e12484f616968fc192a7","abstract_canon_sha256":"2bd69901045e67085d7ea720dff8e8921ee071df7954292eec067238c1ad935f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:41:56.065910Z","signature_b64":"5LyR1AgBk6w9sZui45vh5DpFoArFXL6gFRf/UHV0wLUxhPGINQXhJ3auhgqUTd6++OKNo/Gc2O/U2LX2xBjQBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"44507e3a2fc7e7399f3de29f8ab9703221c0a8b8fe7da0a517787fb4869530af","last_reissued_at":"2026-07-05T08:41:56.065478Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:41:56.065478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Learning to Complement and to Defer to Multiple Users","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"David Rosewarne, Gustavo Carneiro, Kevin Wells, Thanh-Toan Do, Wenjie Ai, Zheng Zhang","submitted_at":"2024-07-09T16:16:44Z","abstract_excerpt":"With the development of Human-AI Collaboration in Classification (HAI-CC), integrating users and AI predictions becomes challenging due to the complex decision-making process. This process has three options: 1) AI autonomously classifies, 2) learning to complement, where AI collaborates with users, and 3) learning to defer, where AI defers to users. Despite their interconnected nature, these options have been studied in isolation rather than as components of a unified system. In this paper, we address this weakness with the novel HAI-CC methodology, called Learning to Complement and to Defer t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.07003","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/2407.07003/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":"2407.07003","created_at":"2026-07-05T08:41:56.065533+00:00"},{"alias_kind":"arxiv_version","alias_value":"2407.07003v1","created_at":"2026-07-05T08:41:56.065533+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.07003","created_at":"2026-07-05T08:41:56.065533+00:00"},{"alias_kind":"pith_short_12","alias_value":"IRIH4ORPY7TT","created_at":"2026-07-05T08:41:56.065533+00:00"},{"alias_kind":"pith_short_16","alias_value":"IRIH4ORPY7TTTHZ5","created_at":"2026-07-05T08:41:56.065533+00:00"},{"alias_kind":"pith_short_8","alias_value":"IRIH4ORP","created_at":"2026-07-05T08:41:56.065533+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/IRIH4ORPY7TTTHZ54KPYVOLQGI","json":"https://pith.science/pith/IRIH4ORPY7TTTHZ54KPYVOLQGI.json","graph_json":"https://pith.science/api/pith-number/IRIH4ORPY7TTTHZ54KPYVOLQGI/graph.json","events_json":"https://pith.science/api/pith-number/IRIH4ORPY7TTTHZ54KPYVOLQGI/events.json","paper":"https://pith.science/paper/IRIH4ORP"},"agent_actions":{"view_html":"https://pith.science/pith/IRIH4ORPY7TTTHZ54KPYVOLQGI","download_json":"https://pith.science/pith/IRIH4ORPY7TTTHZ54KPYVOLQGI.json","view_paper":"https://pith.science/paper/IRIH4ORP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2407.07003&json=true","fetch_graph":"https://pith.science/api/pith-number/IRIH4ORPY7TTTHZ54KPYVOLQGI/graph.json","fetch_events":"https://pith.science/api/pith-number/IRIH4ORPY7TTTHZ54KPYVOLQGI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IRIH4ORPY7TTTHZ54KPYVOLQGI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IRIH4ORPY7TTTHZ54KPYVOLQGI/action/storage_attestation","attest_author":"https://pith.science/pith/IRIH4ORPY7TTTHZ54KPYVOLQGI/action/author_attestation","sign_citation":"https://pith.science/pith/IRIH4ORPY7TTTHZ54KPYVOLQGI/action/citation_signature","submit_replication":"https://pith.science/pith/IRIH4ORPY7TTTHZ54KPYVOLQGI/action/replication_record"}},"created_at":"2026-07-05T08:41:56.065533+00:00","updated_at":"2026-07-05T08:41:56.065533+00:00"}