{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:S3YBSEBSHAHQSBUOZYOXDSA2YD","short_pith_number":"pith:S3YBSEBS","schema_version":"1.0","canonical_sha256":"96f0191032380f09068ece1d71c81ac0e52840433e08ea10616fcf280cb771d8","source":{"kind":"arxiv","id":"2507.15013","version":1},"attestation_state":"computed","paper":{"title":"A Forced-Choice Neural Cognitive Diagnostic Model of Personality Testing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chanjin Zheng, Haoran Shi, Jin Wu, Shaoyang Guo, Xiaoyu Li","submitted_at":"2025-07-20T15:39:36Z","abstract_excerpt":"In the smart era, psychometric tests are becoming increasingly important for personnel selection, career development, and mental health assessment. Forced-choice tests are common in personality assessments because they require participants to select from closely related options, lowering the risk of response distortion. This study presents a deep learning-based Forced-Choice Neural Cognitive Diagnostic Model (FCNCD) that overcomes the limitations of traditional models and is applicable to the three most common item block types found in forced-choice tests. To account for the unidimensionality "},"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":"2507.15013","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-07-20T15:39:36Z","cross_cats_sorted":[],"title_canon_sha256":"cb92d23867f39a386278f8ccf435960186f1740b54537d8653f0a948a91cb44a","abstract_canon_sha256":"9b4b548a295c89b67e8d724fa2d1a45df44bffeef69809cf4a4ca403e9be177e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:40:16.737148Z","signature_b64":"R6qoPF4+42aBkEPMLtT0yv7jehaVEpP6ymQl9TAwuu8aN5068QxPn5Fca25WdUey4hHJd4QzdbqvUog+P4CsCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"96f0191032380f09068ece1d71c81ac0e52840433e08ea10616fcf280cb771d8","last_reissued_at":"2026-07-05T11:40:16.736602Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:40:16.736602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Forced-Choice Neural Cognitive Diagnostic Model of Personality Testing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chanjin Zheng, Haoran Shi, Jin Wu, Shaoyang Guo, Xiaoyu Li","submitted_at":"2025-07-20T15:39:36Z","abstract_excerpt":"In the smart era, psychometric tests are becoming increasingly important for personnel selection, career development, and mental health assessment. Forced-choice tests are common in personality assessments because they require participants to select from closely related options, lowering the risk of response distortion. This study presents a deep learning-based Forced-Choice Neural Cognitive Diagnostic Model (FCNCD) that overcomes the limitations of traditional models and is applicable to the three most common item block types found in forced-choice tests. To account for the unidimensionality "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.15013","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/2507.15013/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":"2507.15013","created_at":"2026-07-05T11:40:16.736672+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.15013v1","created_at":"2026-07-05T11:40:16.736672+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.15013","created_at":"2026-07-05T11:40:16.736672+00:00"},{"alias_kind":"pith_short_12","alias_value":"S3YBSEBSHAHQ","created_at":"2026-07-05T11:40:16.736672+00:00"},{"alias_kind":"pith_short_16","alias_value":"S3YBSEBSHAHQSBUO","created_at":"2026-07-05T11:40:16.736672+00:00"},{"alias_kind":"pith_short_8","alias_value":"S3YBSEBS","created_at":"2026-07-05T11:40:16.736672+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/S3YBSEBSHAHQSBUOZYOXDSA2YD","json":"https://pith.science/pith/S3YBSEBSHAHQSBUOZYOXDSA2YD.json","graph_json":"https://pith.science/api/pith-number/S3YBSEBSHAHQSBUOZYOXDSA2YD/graph.json","events_json":"https://pith.science/api/pith-number/S3YBSEBSHAHQSBUOZYOXDSA2YD/events.json","paper":"https://pith.science/paper/S3YBSEBS"},"agent_actions":{"view_html":"https://pith.science/pith/S3YBSEBSHAHQSBUOZYOXDSA2YD","download_json":"https://pith.science/pith/S3YBSEBSHAHQSBUOZYOXDSA2YD.json","view_paper":"https://pith.science/paper/S3YBSEBS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.15013&json=true","fetch_graph":"https://pith.science/api/pith-number/S3YBSEBSHAHQSBUOZYOXDSA2YD/graph.json","fetch_events":"https://pith.science/api/pith-number/S3YBSEBSHAHQSBUOZYOXDSA2YD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/S3YBSEBSHAHQSBUOZYOXDSA2YD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/S3YBSEBSHAHQSBUOZYOXDSA2YD/action/storage_attestation","attest_author":"https://pith.science/pith/S3YBSEBSHAHQSBUOZYOXDSA2YD/action/author_attestation","sign_citation":"https://pith.science/pith/S3YBSEBSHAHQSBUOZYOXDSA2YD/action/citation_signature","submit_replication":"https://pith.science/pith/S3YBSEBSHAHQSBUOZYOXDSA2YD/action/replication_record"}},"created_at":"2026-07-05T11:40:16.736672+00:00","updated_at":"2026-07-05T11:40:16.736672+00:00"}