{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:T65EVWGEUYOFVOGTGAVH47F6HP","short_pith_number":"pith:T65EVWGE","schema_version":"1.0","canonical_sha256":"9fba4ad8c4a61c5ab8d3302a7e7cbe3bef9a974ad1c1cc4f3f0e7ee52e172285","source":{"kind":"arxiv","id":"1507.03730","version":3},"attestation_state":"computed","paper":{"title":"On the relation between the (censored) shifted Wald and the Wiener distribution as measurement models for choice response times","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Daniel W. Heck, Robert Miller, Soeren Enge, Stefan Scherbaum, Thomas Goschke","submitted_at":"2015-07-14T06:21:57Z","abstract_excerpt":"Inferring processes or constructs from performance data is a major hallmark of cognitive psychometrics. Particularly, diffusion modeling of response times (RTs) from correct and erroneous responses using the Wiener distribution has become a popular measurement tool because it provides a set of psychologically interpretable parameters. However, an important precondition to identify all of these parameters is a sufficient number of RTs from erroneous responses. In the present article, we show by simulation that the parameters of the Wiener distribution can be recovered from tasks yielding very h"},"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":"1507.03730","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2015-07-14T06:21:57Z","cross_cats_sorted":[],"title_canon_sha256":"a0f71553b1c66efca1b2f08ed2528f4eb1ca84168d031539674a93dbb715dc54","abstract_canon_sha256":"27aa8e196d8bb0d25f3c30ebb04a5380934bc616baaa4fc21e50741e55fcfe79"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:36:33.601715Z","signature_b64":"kKVX6kdIPu9czrq9HojoVNANF8CZQ3wTKy90tTCXoe+8T4BMSygzc9QYiwaeNo+z0nQ0ryB9FN9qoYvrDw/qDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9fba4ad8c4a61c5ab8d3302a7e7cbe3bef9a974ad1c1cc4f3f0e7ee52e172285","last_reissued_at":"2026-05-18T00:36:33.601016Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:36:33.601016Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"On the relation between the (censored) shifted Wald and the Wiener distribution as measurement models for choice response times","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Daniel W. Heck, Robert Miller, Soeren Enge, Stefan Scherbaum, Thomas Goschke","submitted_at":"2015-07-14T06:21:57Z","abstract_excerpt":"Inferring processes or constructs from performance data is a major hallmark of cognitive psychometrics. Particularly, diffusion modeling of response times (RTs) from correct and erroneous responses using the Wiener distribution has become a popular measurement tool because it provides a set of psychologically interpretable parameters. However, an important precondition to identify all of these parameters is a sufficient number of RTs from erroneous responses. In the present article, we show by simulation that the parameters of the Wiener distribution can be recovered from tasks yielding very h"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1507.03730","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":""},"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":"1507.03730","created_at":"2026-05-18T00:36:33.601124+00:00"},{"alias_kind":"arxiv_version","alias_value":"1507.03730v3","created_at":"2026-05-18T00:36:33.601124+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1507.03730","created_at":"2026-05-18T00:36:33.601124+00:00"},{"alias_kind":"pith_short_12","alias_value":"T65EVWGEUYOF","created_at":"2026-05-18T12:29:42.218222+00:00"},{"alias_kind":"pith_short_16","alias_value":"T65EVWGEUYOFVOGT","created_at":"2026-05-18T12:29:42.218222+00:00"},{"alias_kind":"pith_short_8","alias_value":"T65EVWGE","created_at":"2026-05-18T12:29:42.218222+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/T65EVWGEUYOFVOGTGAVH47F6HP","json":"https://pith.science/pith/T65EVWGEUYOFVOGTGAVH47F6HP.json","graph_json":"https://pith.science/api/pith-number/T65EVWGEUYOFVOGTGAVH47F6HP/graph.json","events_json":"https://pith.science/api/pith-number/T65EVWGEUYOFVOGTGAVH47F6HP/events.json","paper":"https://pith.science/paper/T65EVWGE"},"agent_actions":{"view_html":"https://pith.science/pith/T65EVWGEUYOFVOGTGAVH47F6HP","download_json":"https://pith.science/pith/T65EVWGEUYOFVOGTGAVH47F6HP.json","view_paper":"https://pith.science/paper/T65EVWGE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1507.03730&json=true","fetch_graph":"https://pith.science/api/pith-number/T65EVWGEUYOFVOGTGAVH47F6HP/graph.json","fetch_events":"https://pith.science/api/pith-number/T65EVWGEUYOFVOGTGAVH47F6HP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/T65EVWGEUYOFVOGTGAVH47F6HP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/T65EVWGEUYOFVOGTGAVH47F6HP/action/storage_attestation","attest_author":"https://pith.science/pith/T65EVWGEUYOFVOGTGAVH47F6HP/action/author_attestation","sign_citation":"https://pith.science/pith/T65EVWGEUYOFVOGTGAVH47F6HP/action/citation_signature","submit_replication":"https://pith.science/pith/T65EVWGEUYOFVOGTGAVH47F6HP/action/replication_record"}},"created_at":"2026-05-18T00:36:33.601124+00:00","updated_at":"2026-05-18T00:36:33.601124+00:00"}