{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:PJFOBTLWOOJ2BLYVAWESEF2IQQ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"df49a62fb3739302fa00db32e8ea6a1aa8d6f7f9c285a74f91dbd5c482f0a0ef","cross_cats_sorted":["stat.ME","stat.TH"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"math.ST","submitted_at":"2021-09-24T19:27:41Z","title_canon_sha256":"cb627342c14853cdb780adf35071aadb2bd06c913acc26da8769fa7eee0b29e4"},"schema_version":"1.0","source":{"id":"2109.12156","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.12156","created_at":"2026-07-05T11:03:46Z"},{"alias_kind":"arxiv_version","alias_value":"2109.12156v3","created_at":"2026-07-05T11:03:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.12156","created_at":"2026-07-05T11:03:46Z"},{"alias_kind":"pith_short_12","alias_value":"PJFOBTLWOOJ2","created_at":"2026-07-05T11:03:46Z"},{"alias_kind":"pith_short_16","alias_value":"PJFOBTLWOOJ2BLYV","created_at":"2026-07-05T11:03:46Z"},{"alias_kind":"pith_short_8","alias_value":"PJFOBTLW","created_at":"2026-07-05T11:03:46Z"}],"graph_snapshots":[{"event_id":"sha256:c3eeb8bba196815b8cd7d086ac68129fe960fa42c5797515f16e748e12c251db","target":"graph","created_at":"2026-07-05T11:03:46Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2109.12156/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Predictive inference under a general regression setting is gaining more interest in the big-data era. In terms of going beyond point prediction to develop prediction intervals, two main threads of development are conformal prediction and Model-free prediction. Recently, a new conformal prediction approach was proposed that exploits the same uniformization procedure as in the well-known Model-free Bootstrap. Hence, it is of interest to compare and further investigate the performance of the two methods. In the paper at hand, we contrast the two approaches via theoretical analysis and numerical e","authors_text":"Dimitris N. Politis, Yiren Wang","cross_cats":["stat.ME","stat.TH"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"math.ST","submitted_at":"2021-09-24T19:27:41Z","title":"Model-free Bootstrap and Conformal Prediction in Regression: Conditionality, Conjecture Testing, and Pertinent Prediction Intervals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.12156","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ddc4336d477c9b3e492446bcfe7993cbfe3b0d783aa08333485c16970726317e","target":"record","created_at":"2026-07-05T11:03:46Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"df49a62fb3739302fa00db32e8ea6a1aa8d6f7f9c285a74f91dbd5c482f0a0ef","cross_cats_sorted":["stat.ME","stat.TH"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"math.ST","submitted_at":"2021-09-24T19:27:41Z","title_canon_sha256":"cb627342c14853cdb780adf35071aadb2bd06c913acc26da8769fa7eee0b29e4"},"schema_version":"1.0","source":{"id":"2109.12156","kind":"arxiv","version":3}},"canonical_sha256":"7a4ae0cd767393a0af150589221748842f09fef8c39a7de20ca4886f5ccfdd48","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a4ae0cd767393a0af150589221748842f09fef8c39a7de20ca4886f5ccfdd48","first_computed_at":"2026-07-05T11:03:46.387346Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:03:46.387346Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rsDZ6W2vIhOAovRa1t4RDtnEcjHd32GyKLSoWPS5aDwtjIUUnxS6tLE6ujAIyX7gxu54wrGkp7niZh0MQHtnDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:03:46.387809Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.12156","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ddc4336d477c9b3e492446bcfe7993cbfe3b0d783aa08333485c16970726317e","sha256:c3eeb8bba196815b8cd7d086ac68129fe960fa42c5797515f16e748e12c251db"],"state_sha256":"6da59347d95eca037acb5c3b7b2dd144a0256f3758461d972795d857be98853d"}