{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2010:7DUIEI742W33R6TDGSA2MA42BC","short_pith_number":"pith:7DUIEI74","schema_version":"1.0","canonical_sha256":"f8e88223fcd5b7b8fa633481a6039a08ba4e44082c2b0e6081a8a44e64c443b4","source":{"kind":"arxiv","id":"1010.0304","version":1},"attestation_state":"computed","paper":{"title":"Model Assessment Tools for a Model False World","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Bruce Lindsay, Jiawei Liu","submitted_at":"2010-10-02T08:11:53Z","abstract_excerpt":"A standard goal of model evaluation and selection is to find a model that approximates the truth well while at the same time is as parsimonious as possible. In this paper we emphasize the point of view that the models under consideration are almost always false, if viewed realistically, and so we should analyze model adequacy from that point of view. We investigate this issue in large samples by looking at a model credibility index, which is designed to serve as a one-number summary measure of model adequacy. We define the index to be the maximum sample size at which samples from the model and"},"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":"1010.0304","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2010-10-02T08:11:53Z","cross_cats_sorted":[],"title_canon_sha256":"174fa7dd66a8403d2515ce82430babb5225d43a890fdac006d7644da780f8311","abstract_canon_sha256":"c778024ef7cdb153b1f9e13c0ae0693a83da8118f9af8416ab6f9ceabc62efd4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:39:58.726346Z","signature_b64":"GQaoqshWOnN6LqhNMZU/Q7izTXyHUQ7xglwsxshHhfs0LQR5z1pbrVYlTjkOBOJrsr9lYuc5yoQD2HYXRtuzDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f8e88223fcd5b7b8fa633481a6039a08ba4e44082c2b0e6081a8a44e64c443b4","last_reissued_at":"2026-05-18T04:39:58.725764Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:39:58.725764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Model Assessment Tools for a Model False World","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Bruce Lindsay, Jiawei Liu","submitted_at":"2010-10-02T08:11:53Z","abstract_excerpt":"A standard goal of model evaluation and selection is to find a model that approximates the truth well while at the same time is as parsimonious as possible. In this paper we emphasize the point of view that the models under consideration are almost always false, if viewed realistically, and so we should analyze model adequacy from that point of view. We investigate this issue in large samples by looking at a model credibility index, which is designed to serve as a one-number summary measure of model adequacy. We define the index to be the maximum sample size at which samples from the model and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1010.0304","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":""},"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":"1010.0304","created_at":"2026-05-18T04:39:58.725848+00:00"},{"alias_kind":"arxiv_version","alias_value":"1010.0304v1","created_at":"2026-05-18T04:39:58.725848+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1010.0304","created_at":"2026-05-18T04:39:58.725848+00:00"},{"alias_kind":"pith_short_12","alias_value":"7DUIEI742W33","created_at":"2026-05-18T12:26:04.259169+00:00"},{"alias_kind":"pith_short_16","alias_value":"7DUIEI742W33R6TD","created_at":"2026-05-18T12:26:04.259169+00:00"},{"alias_kind":"pith_short_8","alias_value":"7DUIEI74","created_at":"2026-05-18T12:26:04.259169+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/7DUIEI742W33R6TDGSA2MA42BC","json":"https://pith.science/pith/7DUIEI742W33R6TDGSA2MA42BC.json","graph_json":"https://pith.science/api/pith-number/7DUIEI742W33R6TDGSA2MA42BC/graph.json","events_json":"https://pith.science/api/pith-number/7DUIEI742W33R6TDGSA2MA42BC/events.json","paper":"https://pith.science/paper/7DUIEI74"},"agent_actions":{"view_html":"https://pith.science/pith/7DUIEI742W33R6TDGSA2MA42BC","download_json":"https://pith.science/pith/7DUIEI742W33R6TDGSA2MA42BC.json","view_paper":"https://pith.science/paper/7DUIEI74","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1010.0304&json=true","fetch_graph":"https://pith.science/api/pith-number/7DUIEI742W33R6TDGSA2MA42BC/graph.json","fetch_events":"https://pith.science/api/pith-number/7DUIEI742W33R6TDGSA2MA42BC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7DUIEI742W33R6TDGSA2MA42BC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7DUIEI742W33R6TDGSA2MA42BC/action/storage_attestation","attest_author":"https://pith.science/pith/7DUIEI742W33R6TDGSA2MA42BC/action/author_attestation","sign_citation":"https://pith.science/pith/7DUIEI742W33R6TDGSA2MA42BC/action/citation_signature","submit_replication":"https://pith.science/pith/7DUIEI742W33R6TDGSA2MA42BC/action/replication_record"}},"created_at":"2026-05-18T04:39:58.725848+00:00","updated_at":"2026-05-18T04:39:58.725848+00:00"}