{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:HKHVYPDEFO4YE5S2LD3QOGJZJJ","short_pith_number":"pith:HKHVYPDE","schema_version":"1.0","canonical_sha256":"3a8f5c3c642bb982765a58f70719394a6e97a432db7581c0407015a4f9e2c6cf","source":{"kind":"arxiv","id":"1208.0806","version":1},"attestation_state":"computed","paper":{"title":"Cross-conformal predictors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Vladimir Vovk","submitted_at":"2012-08-03T18:01:52Z","abstract_excerpt":"This note introduces the method of cross-conformal prediction, which is a hybrid of the methods of inductive conformal prediction and cross-validation, and studies its validity and predictive efficiency empirically."},"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":"1208.0806","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2012-08-03T18:01:52Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"05728e55ee3e489887a9d18de2c85e371384e420204bb7a906f21bf0a32c03c6","abstract_canon_sha256":"7583ce04a5dfab187466e611514b5e9d023ec7dc8bd26d23f2df1c2abad220da"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:49:22.760756Z","signature_b64":"qy86bmgEYTxt0WW0AC7I99vllGq1ZjJyHN2+cCXng5TbdMUS/1wzlS7UOF7r8g+pq8ScsCN6WrMTcN+wgZmrDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3a8f5c3c642bb982765a58f70719394a6e97a432db7581c0407015a4f9e2c6cf","last_reissued_at":"2026-05-18T03:49:22.760024Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:49:22.760024Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cross-conformal predictors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Vladimir Vovk","submitted_at":"2012-08-03T18:01:52Z","abstract_excerpt":"This note introduces the method of cross-conformal prediction, which is a hybrid of the methods of inductive conformal prediction and cross-validation, and studies its validity and predictive efficiency empirically."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1208.0806","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":"1208.0806","created_at":"2026-05-18T03:49:22.760128+00:00"},{"alias_kind":"arxiv_version","alias_value":"1208.0806v1","created_at":"2026-05-18T03:49:22.760128+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1208.0806","created_at":"2026-05-18T03:49:22.760128+00:00"},{"alias_kind":"pith_short_12","alias_value":"HKHVYPDEFO4Y","created_at":"2026-05-18T12:27:09.501522+00:00"},{"alias_kind":"pith_short_16","alias_value":"HKHVYPDEFO4YE5S2","created_at":"2026-05-18T12:27:09.501522+00:00"},{"alias_kind":"pith_short_8","alias_value":"HKHVYPDE","created_at":"2026-05-18T12:27:09.501522+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2505.22764","citing_title":"Test-time augmentation improves efficiency in conformal prediction","ref_index":43,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HKHVYPDEFO4YE5S2LD3QOGJZJJ","json":"https://pith.science/pith/HKHVYPDEFO4YE5S2LD3QOGJZJJ.json","graph_json":"https://pith.science/api/pith-number/HKHVYPDEFO4YE5S2LD3QOGJZJJ/graph.json","events_json":"https://pith.science/api/pith-number/HKHVYPDEFO4YE5S2LD3QOGJZJJ/events.json","paper":"https://pith.science/paper/HKHVYPDE"},"agent_actions":{"view_html":"https://pith.science/pith/HKHVYPDEFO4YE5S2LD3QOGJZJJ","download_json":"https://pith.science/pith/HKHVYPDEFO4YE5S2LD3QOGJZJJ.json","view_paper":"https://pith.science/paper/HKHVYPDE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1208.0806&json=true","fetch_graph":"https://pith.science/api/pith-number/HKHVYPDEFO4YE5S2LD3QOGJZJJ/graph.json","fetch_events":"https://pith.science/api/pith-number/HKHVYPDEFO4YE5S2LD3QOGJZJJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HKHVYPDEFO4YE5S2LD3QOGJZJJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HKHVYPDEFO4YE5S2LD3QOGJZJJ/action/storage_attestation","attest_author":"https://pith.science/pith/HKHVYPDEFO4YE5S2LD3QOGJZJJ/action/author_attestation","sign_citation":"https://pith.science/pith/HKHVYPDEFO4YE5S2LD3QOGJZJJ/action/citation_signature","submit_replication":"https://pith.science/pith/HKHVYPDEFO4YE5S2LD3QOGJZJJ/action/replication_record"}},"created_at":"2026-05-18T03:49:22.760128+00:00","updated_at":"2026-05-18T03:49:22.760128+00:00"}