{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:D67RTAUF7WNVUGPPRKHHCQT2XB","short_pith_number":"pith:D67RTAUF","canonical_record":{"source":{"id":"1111.1418","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2011-11-06T13:34:10Z","cross_cats_sorted":["cs.LG","stat.TH"],"title_canon_sha256":"c550c2ed9d25af196ba7bffabb2290426fd986ab9d88b354d64244509fe8b3aa","abstract_canon_sha256":"bd8c81efd74d43e1230303df4f6be7167b444762586200de623ae2ded0a46f95"},"schema_version":"1.0"},"canonical_sha256":"1fbf198285fd9b5a19ef8a8e71427ab86d86671a0c03a433de8da08f46ccaa8d","source":{"kind":"arxiv","id":"1111.1418","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1111.1418","created_at":"2026-05-18T04:09:26Z"},{"alias_kind":"arxiv_version","alias_value":"1111.1418v1","created_at":"2026-05-18T04:09:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1111.1418","created_at":"2026-05-18T04:09:26Z"},{"alias_kind":"pith_short_12","alias_value":"D67RTAUF7WNV","created_at":"2026-05-18T12:26:26Z"},{"alias_kind":"pith_short_16","alias_value":"D67RTAUF7WNVUGPP","created_at":"2026-05-18T12:26:26Z"},{"alias_kind":"pith_short_8","alias_value":"D67RTAUF","created_at":"2026-05-18T12:26:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:D67RTAUF7WNVUGPPRKHHCQT2XB","target":"record","payload":{"canonical_record":{"source":{"id":"1111.1418","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2011-11-06T13:34:10Z","cross_cats_sorted":["cs.LG","stat.TH"],"title_canon_sha256":"c550c2ed9d25af196ba7bffabb2290426fd986ab9d88b354d64244509fe8b3aa","abstract_canon_sha256":"bd8c81efd74d43e1230303df4f6be7167b444762586200de623ae2ded0a46f95"},"schema_version":"1.0"},"canonical_sha256":"1fbf198285fd9b5a19ef8a8e71427ab86d86671a0c03a433de8da08f46ccaa8d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:09:26.193173Z","signature_b64":"ug0iIHddUsWs9qFrKqFuyIFZ3DwezH5twgJRUja+3D37dmFSrnavBx7O0IVFgSQamirmk7TPvapw1ozIHn8bBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1fbf198285fd9b5a19ef8a8e71427ab86d86671a0c03a433de8da08f46ccaa8d","last_reissued_at":"2026-05-18T04:09:26.192583Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:09:26.192583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1111.1418","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T04:09:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QV6Q8jfusC/33GQTS/7+VCD2J3BzEwXHQTI0srPmSjt8/35m5Pe20rY4tlT1gpuTdnlPiMdX1EMN/6yxUF8bBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T17:48:44.165407Z"},"content_sha256":"cf65458ea24d5497658d842dca6eba969aca07babd2d6b1a4b47e3ee3e76849a","schema_version":"1.0","event_id":"sha256:cf65458ea24d5497658d842dca6eba969aca07babd2d6b1a4b47e3ee3e76849a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:D67RTAUF7WNVUGPPRKHHCQT2XB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient Nonparametric Conformal Prediction Regions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.TH"],"primary_cat":"math.ST","authors_text":"James Robins, Jing Lei, Larry Wasserman","submitted_at":"2011-11-06T13:34:10Z","abstract_excerpt":"We investigate and extend the conformal prediction method due to Vovk,Gammerman and Shafer (2005) to construct nonparametric prediction regions. These regions have guaranteed distribution free, finite sample coverage, without any assumptions on the distribution or the bandwidth. Explicit convergence rates of the loss function are established for such regions under standard regularity conditions. Approximations for simplifying implementation and data driven bandwidth selection methods are also discussed. The theoretical properties of our method are demonstrated through simulations."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1111.1418","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T04:09:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4DoCMgRbiEkgsThXFontcenW3euB8x27WUpuFWIPBNQXpRA2YznAd74yjP4Ibyry4tw9GdSuh4KBrPDlHnHGCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T17:48:44.166038Z"},"content_sha256":"3c2167933e41df2f0fb03a8696edfd058c3c8bbf7de70973e14e276938aeeee3","schema_version":"1.0","event_id":"sha256:3c2167933e41df2f0fb03a8696edfd058c3c8bbf7de70973e14e276938aeeee3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D67RTAUF7WNVUGPPRKHHCQT2XB/bundle.json","state_url":"https://pith.science/pith/D67RTAUF7WNVUGPPRKHHCQT2XB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D67RTAUF7WNVUGPPRKHHCQT2XB/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-22T17:48:44Z","links":{"resolver":"https://pith.science/pith/D67RTAUF7WNVUGPPRKHHCQT2XB","bundle":"https://pith.science/pith/D67RTAUF7WNVUGPPRKHHCQT2XB/bundle.json","state":"https://pith.science/pith/D67RTAUF7WNVUGPPRKHHCQT2XB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D67RTAUF7WNVUGPPRKHHCQT2XB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:D67RTAUF7WNVUGPPRKHHCQT2XB","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":"bd8c81efd74d43e1230303df4f6be7167b444762586200de623ae2ded0a46f95","cross_cats_sorted":["cs.LG","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2011-11-06T13:34:10Z","title_canon_sha256":"c550c2ed9d25af196ba7bffabb2290426fd986ab9d88b354d64244509fe8b3aa"},"schema_version":"1.0","source":{"id":"1111.1418","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1111.1418","created_at":"2026-05-18T04:09:26Z"},{"alias_kind":"arxiv_version","alias_value":"1111.1418v1","created_at":"2026-05-18T04:09:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1111.1418","created_at":"2026-05-18T04:09:26Z"},{"alias_kind":"pith_short_12","alias_value":"D67RTAUF7WNV","created_at":"2026-05-18T12:26:26Z"},{"alias_kind":"pith_short_16","alias_value":"D67RTAUF7WNVUGPP","created_at":"2026-05-18T12:26:26Z"},{"alias_kind":"pith_short_8","alias_value":"D67RTAUF","created_at":"2026-05-18T12:26:26Z"}],"graph_snapshots":[{"event_id":"sha256:3c2167933e41df2f0fb03a8696edfd058c3c8bbf7de70973e14e276938aeeee3","target":"graph","created_at":"2026-05-18T04:09:26Z","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"},"paper":{"abstract_excerpt":"We investigate and extend the conformal prediction method due to Vovk,Gammerman and Shafer (2005) to construct nonparametric prediction regions. These regions have guaranteed distribution free, finite sample coverage, without any assumptions on the distribution or the bandwidth. Explicit convergence rates of the loss function are established for such regions under standard regularity conditions. Approximations for simplifying implementation and data driven bandwidth selection methods are also discussed. The theoretical properties of our method are demonstrated through simulations.","authors_text":"James Robins, Jing Lei, Larry Wasserman","cross_cats":["cs.LG","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2011-11-06T13:34:10Z","title":"Efficient Nonparametric Conformal Prediction Regions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1111.1418","kind":"arxiv","version":1},"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:cf65458ea24d5497658d842dca6eba969aca07babd2d6b1a4b47e3ee3e76849a","target":"record","created_at":"2026-05-18T04:09:26Z","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":"bd8c81efd74d43e1230303df4f6be7167b444762586200de623ae2ded0a46f95","cross_cats_sorted":["cs.LG","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2011-11-06T13:34:10Z","title_canon_sha256":"c550c2ed9d25af196ba7bffabb2290426fd986ab9d88b354d64244509fe8b3aa"},"schema_version":"1.0","source":{"id":"1111.1418","kind":"arxiv","version":1}},"canonical_sha256":"1fbf198285fd9b5a19ef8a8e71427ab86d86671a0c03a433de8da08f46ccaa8d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1fbf198285fd9b5a19ef8a8e71427ab86d86671a0c03a433de8da08f46ccaa8d","first_computed_at":"2026-05-18T04:09:26.192583Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:09:26.192583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ug0iIHddUsWs9qFrKqFuyIFZ3DwezH5twgJRUja+3D37dmFSrnavBx7O0IVFgSQamirmk7TPvapw1ozIHn8bBA==","signature_status":"signed_v1","signed_at":"2026-05-18T04:09:26.193173Z","signed_message":"canonical_sha256_bytes"},"source_id":"1111.1418","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf65458ea24d5497658d842dca6eba969aca07babd2d6b1a4b47e3ee3e76849a","sha256:3c2167933e41df2f0fb03a8696edfd058c3c8bbf7de70973e14e276938aeeee3"],"state_sha256":"3771e770ba509f19821946b62446358d6f60c62eaa2ad943a25ba801f4fa64e8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mCm0KOZRWNqhH+5eQNfaoHQ6Gcs1kPLoUGMleF5iehq9eU7D2nyOdIanawHv28ZTqQIgPCHZDcyJOUTHmDR0CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-22T17:48:44.169641Z","bundle_sha256":"a8177da0edc781544a62caf35b5fa085a5d88dbf06714424f82c317eb48d4d59"}}