{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VVPHFDCYETUM5ZVP7R3FCTGWUJ","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":"5e8a183a014217a61bc09087321aa4b9c34afe452eef0156450ae79035cf5b70","cross_cats_sorted":["cs.LG","stat.AP"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ML","submitted_at":"2025-03-03T13:07:28Z","title_canon_sha256":"caa74ba8ec4a469b76bc459d371f9a344ac61435e68b7356b47f6495098888fb"},"schema_version":"1.0","source":{"id":"2503.01495","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.01495","created_at":"2026-07-05T11:06:29Z"},{"alias_kind":"arxiv_version","alias_value":"2503.01495v2","created_at":"2026-07-05T11:06:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.01495","created_at":"2026-07-05T11:06:29Z"},{"alias_kind":"pith_short_12","alias_value":"VVPHFDCYETUM","created_at":"2026-07-05T11:06:29Z"},{"alias_kind":"pith_short_16","alias_value":"VVPHFDCYETUM5ZVP","created_at":"2026-07-05T11:06:29Z"},{"alias_kind":"pith_short_8","alias_value":"VVPHFDCY","created_at":"2026-07-05T11:06:29Z"}],"graph_snapshots":[{"event_id":"sha256:244fdc25dc66a368dac411efdacaf6a3e117a061578757b7e86d7a2dc020caa1","target":"graph","created_at":"2026-07-05T11:06:29Z","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/2503.01495/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vovk (2015) introduced cross-conformal prediction, a modification of split conformal designed to improve the width of prediction sets. The method, when trained with a miscoverage rate equal to $\\alpha$ and $n \\gg K$, ensures a marginal coverage of at least $1 - 2\\alpha - 2(1-\\alpha)(K-1)/(n+K)$, where $n$ is the number of observations and $K$ denotes the number of folds. A simple modification of the method achieves coverage of at least $1-2\\alpha$. In this work, we propose new variants of both methods that yield smaller prediction sets without compromising the latter theoretical guarantees. Th","authors_text":"Aaditya Ramdas, Matteo Gasparin","cross_cats":["cs.LG","stat.AP"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ML","submitted_at":"2025-03-03T13:07:28Z","title":"Improving the statistical efficiency of cross-conformal prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.01495","kind":"arxiv","version":2},"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":"sha256:401a742c61f56dc2099dc850b7ddb7920f96317b54d6c04b30a7bc1aa713d08f","target":"record","created_at":"2026-07-05T11:06:29Z","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":"5e8a183a014217a61bc09087321aa4b9c34afe452eef0156450ae79035cf5b70","cross_cats_sorted":["cs.LG","stat.AP"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ML","submitted_at":"2025-03-03T13:07:28Z","title_canon_sha256":"caa74ba8ec4a469b76bc459d371f9a344ac61435e68b7356b47f6495098888fb"},"schema_version":"1.0","source":{"id":"2503.01495","kind":"arxiv","version":2}},"canonical_sha256":"ad5e728c5824e8cee6affc76514cd6a26b6af6a078546167fa31bf48c5569499","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ad5e728c5824e8cee6affc76514cd6a26b6af6a078546167fa31bf48c5569499","first_computed_at":"2026-07-05T11:06:29.057303Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:29.057303Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AsZt4mFecTZShlKWLC1MI99lpNSVwMwxLHQOGxDNiBfNXZLerZyiZfy+4fxrN8kw2N9fXq1DBliXKmXrr787Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:29.057808Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.01495","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:401a742c61f56dc2099dc850b7ddb7920f96317b54d6c04b30a7bc1aa713d08f","sha256:244fdc25dc66a368dac411efdacaf6a3e117a061578757b7e86d7a2dc020caa1"],"state_sha256":"74530325b72c8f4bdeabfd487e6b09ec1866bb4e7b9f760fff527c4b8b24129a"}