{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:SMPT4K5CYDT434E5W46ONBP7KC","short_pith_number":"pith:SMPT4K5C","schema_version":"1.0","canonical_sha256":"931f3e2ba2c0e7cdf09db73ce685ff5082ccbfd32b412a40bfd56b683f1ea4dc","source":{"kind":"arxiv","id":"1806.02307","version":2},"attestation_state":"computed","paper":{"title":"Check yourself before you wreck yourself: Assessing discrete choice models through predictive simulations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Timothy Brathwaite","submitted_at":"2018-06-06T17:12:09Z","abstract_excerpt":"Typically, discrete choice modelers develop ever-more advanced models and estimation methods. Compared to the impressive progress in model development and estimation, model-checking techniques have lagged behind. Often, choice modelers use only crude methods to assess how well an estimated model represents reality. Such methods usually stop at checking parameter signs, model elasticities, and ratios of model coefficients. In this paper, I greatly expand the discrete choice modelers' assessment toolkit by introducing model checking procedures based on graphical displays of predictive simulation"},"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":"1806.02307","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-06-06T17:12:09Z","cross_cats_sorted":[],"title_canon_sha256":"c100dc7bd84768440480f2aba7d3d34ca6cf744ad0922cc1cedf29af7fecbeb0","abstract_canon_sha256":"0c28a8817e3d8ef06df666f2ae11ffe70114cd714643d6f8235940db57d02fb1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:04:29.779306Z","signature_b64":"k0iCGaA1BRgoPgZ4CbRBt1RTZE5j0G5sUezWjnWEcVnCxZA8mNEzmotfWFD6EZOqapzIgCQdZkqkBqMDT1OTCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"931f3e2ba2c0e7cdf09db73ce685ff5082ccbfd32b412a40bfd56b683f1ea4dc","last_reissued_at":"2026-05-18T00:04:29.778806Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:04:29.778806Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Check yourself before you wreck yourself: Assessing discrete choice models through predictive simulations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Timothy Brathwaite","submitted_at":"2018-06-06T17:12:09Z","abstract_excerpt":"Typically, discrete choice modelers develop ever-more advanced models and estimation methods. Compared to the impressive progress in model development and estimation, model-checking techniques have lagged behind. Often, choice modelers use only crude methods to assess how well an estimated model represents reality. Such methods usually stop at checking parameter signs, model elasticities, and ratios of model coefficients. In this paper, I greatly expand the discrete choice modelers' assessment toolkit by introducing model checking procedures based on graphical displays of predictive simulation"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.02307","kind":"arxiv","version":2},"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":"1806.02307","created_at":"2026-05-18T00:04:29.778885+00:00"},{"alias_kind":"arxiv_version","alias_value":"1806.02307v2","created_at":"2026-05-18T00:04:29.778885+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.02307","created_at":"2026-05-18T00:04:29.778885+00:00"},{"alias_kind":"pith_short_12","alias_value":"SMPT4K5CYDT4","created_at":"2026-05-18T12:32:53.628368+00:00"},{"alias_kind":"pith_short_16","alias_value":"SMPT4K5CYDT434E5","created_at":"2026-05-18T12:32:53.628368+00:00"},{"alias_kind":"pith_short_8","alias_value":"SMPT4K5C","created_at":"2026-05-18T12:32:53.628368+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/SMPT4K5CYDT434E5W46ONBP7KC","json":"https://pith.science/pith/SMPT4K5CYDT434E5W46ONBP7KC.json","graph_json":"https://pith.science/api/pith-number/SMPT4K5CYDT434E5W46ONBP7KC/graph.json","events_json":"https://pith.science/api/pith-number/SMPT4K5CYDT434E5W46ONBP7KC/events.json","paper":"https://pith.science/paper/SMPT4K5C"},"agent_actions":{"view_html":"https://pith.science/pith/SMPT4K5CYDT434E5W46ONBP7KC","download_json":"https://pith.science/pith/SMPT4K5CYDT434E5W46ONBP7KC.json","view_paper":"https://pith.science/paper/SMPT4K5C","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1806.02307&json=true","fetch_graph":"https://pith.science/api/pith-number/SMPT4K5CYDT434E5W46ONBP7KC/graph.json","fetch_events":"https://pith.science/api/pith-number/SMPT4K5CYDT434E5W46ONBP7KC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SMPT4K5CYDT434E5W46ONBP7KC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SMPT4K5CYDT434E5W46ONBP7KC/action/storage_attestation","attest_author":"https://pith.science/pith/SMPT4K5CYDT434E5W46ONBP7KC/action/author_attestation","sign_citation":"https://pith.science/pith/SMPT4K5CYDT434E5W46ONBP7KC/action/citation_signature","submit_replication":"https://pith.science/pith/SMPT4K5CYDT434E5W46ONBP7KC/action/replication_record"}},"created_at":"2026-05-18T00:04:29.778885+00:00","updated_at":"2026-05-18T00:04:29.778885+00:00"}