{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:2NZ7PMLTMZI72TVTQ4LTEN6EK5","short_pith_number":"pith:2NZ7PMLT","canonical_record":{"source":{"id":"1405.0362","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-05-02T09:00:01Z","cross_cats_sorted":["stat.ME"],"title_canon_sha256":"549b5be7c33c1137857a7a773efb2149a0c5848bc0b0a8a9ad83ee61fb4f8a1c","abstract_canon_sha256":"80ef37911bebd04e972a606d4608a928dc9f9a3efcc306b5a75ff3506f1fd387"},"schema_version":"1.0"},"canonical_sha256":"d373f7b1736651fd4eb387173237c457538bcdc5ec929495b89aef29f0a4dbbc","source":{"kind":"arxiv","id":"1405.0362","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1405.0362","created_at":"2026-05-18T01:09:38Z"},{"alias_kind":"arxiv_version","alias_value":"1405.0362v2","created_at":"2026-05-18T01:09:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1405.0362","created_at":"2026-05-18T01:09:38Z"},{"alias_kind":"pith_short_12","alias_value":"2NZ7PMLTMZI7","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_16","alias_value":"2NZ7PMLTMZI72TVT","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_8","alias_value":"2NZ7PMLT","created_at":"2026-05-18T12:28:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:2NZ7PMLTMZI72TVTQ4LTEN6EK5","target":"record","payload":{"canonical_record":{"source":{"id":"1405.0362","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-05-02T09:00:01Z","cross_cats_sorted":["stat.ME"],"title_canon_sha256":"549b5be7c33c1137857a7a773efb2149a0c5848bc0b0a8a9ad83ee61fb4f8a1c","abstract_canon_sha256":"80ef37911bebd04e972a606d4608a928dc9f9a3efcc306b5a75ff3506f1fd387"},"schema_version":"1.0"},"canonical_sha256":"d373f7b1736651fd4eb387173237c457538bcdc5ec929495b89aef29f0a4dbbc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:09:38.177475Z","signature_b64":"iyNbBQF5fnVFN3YL8NPrZlixny+G/T5WOKRDBnBOP8ozkgZ+drrB1Rswa3M0I4zpx8Iwe7l0rQid8cZGNGRzBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d373f7b1736651fd4eb387173237c457538bcdc5ec929495b89aef29f0a4dbbc","last_reissued_at":"2026-05-18T01:09:38.177021Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:09:38.177021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1405.0362","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:09:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+2YJzgjrbcyssyx1ptmAa/KBWmBrjzZYnd5h2kifeNCLy5Z9xhr4/oDpAfgdu7gbv4VXpRjiPyNXo2SqabWYAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T02:18:08.290736Z"},"content_sha256":"33f9b062cf18c63818eb5472a5daa9d211770f91139c5cd0ddc4c144268e8d61","schema_version":"1.0","event_id":"sha256:33f9b062cf18c63818eb5472a5daa9d211770f91139c5cd0ddc4c144268e8d61"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:2NZ7PMLTMZI72TVTQ4LTEN6EK5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An efficient algorithm for T-estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ME"],"primary_cat":"stat.CO","authors_text":"Nelo Magalh\\~aes, Yves Rozenholc","submitted_at":"2014-05-02T09:00:01Z","abstract_excerpt":"We introduce an efficient and exact algorithm, together with a faster but approximate version, which implements with a sub-quadratic complexity the hold-out derived from T-estimation. We study empirically the performance of this hold-out in the context of density estimation considering well-known competitors (hold-out derived from least-squares or Kullback-Leibler divergence, model selection procedures, etc.) and classical problems including histogram or bandwidth selection. Our algorithms are integrated in a companion R-package called {\\it Density.T.HoldOut} available on the CRAN: {\\url{http:"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.0362","kind":"arxiv","version":2},"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":"2026-05-18T01:09:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nWAOt/O8sd9oYb5NaJatdXrKdqlQuxqrhVzbdGJhiL6mZGWeJny8NwLrLWXPdFbsFzQSG2ykwCeQslftLVvKAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T02:18:08.291074Z"},"content_sha256":"2e8b30d8cda8a42d9e8e38cae9e83b789bba8d711c6a629e3eaa5b4523464be3","schema_version":"1.0","event_id":"sha256:2e8b30d8cda8a42d9e8e38cae9e83b789bba8d711c6a629e3eaa5b4523464be3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2NZ7PMLTMZI72TVTQ4LTEN6EK5/bundle.json","state_url":"https://pith.science/pith/2NZ7PMLTMZI72TVTQ4LTEN6EK5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2NZ7PMLTMZI72TVTQ4LTEN6EK5/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":"2026-06-03T02:18:08Z","links":{"resolver":"https://pith.science/pith/2NZ7PMLTMZI72TVTQ4LTEN6EK5","bundle":"https://pith.science/pith/2NZ7PMLTMZI72TVTQ4LTEN6EK5/bundle.json","state":"https://pith.science/pith/2NZ7PMLTMZI72TVTQ4LTEN6EK5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2NZ7PMLTMZI72TVTQ4LTEN6EK5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:2NZ7PMLTMZI72TVTQ4LTEN6EK5","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":"80ef37911bebd04e972a606d4608a928dc9f9a3efcc306b5a75ff3506f1fd387","cross_cats_sorted":["stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-05-02T09:00:01Z","title_canon_sha256":"549b5be7c33c1137857a7a773efb2149a0c5848bc0b0a8a9ad83ee61fb4f8a1c"},"schema_version":"1.0","source":{"id":"1405.0362","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1405.0362","created_at":"2026-05-18T01:09:38Z"},{"alias_kind":"arxiv_version","alias_value":"1405.0362v2","created_at":"2026-05-18T01:09:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1405.0362","created_at":"2026-05-18T01:09:38Z"},{"alias_kind":"pith_short_12","alias_value":"2NZ7PMLTMZI7","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_16","alias_value":"2NZ7PMLTMZI72TVT","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_8","alias_value":"2NZ7PMLT","created_at":"2026-05-18T12:28:11Z"}],"graph_snapshots":[{"event_id":"sha256:2e8b30d8cda8a42d9e8e38cae9e83b789bba8d711c6a629e3eaa5b4523464be3","target":"graph","created_at":"2026-05-18T01:09:38Z","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 introduce an efficient and exact algorithm, together with a faster but approximate version, which implements with a sub-quadratic complexity the hold-out derived from T-estimation. We study empirically the performance of this hold-out in the context of density estimation considering well-known competitors (hold-out derived from least-squares or Kullback-Leibler divergence, model selection procedures, etc.) and classical problems including histogram or bandwidth selection. Our algorithms are integrated in a companion R-package called {\\it Density.T.HoldOut} available on the CRAN: {\\url{http:","authors_text":"Nelo Magalh\\~aes, Yves Rozenholc","cross_cats":["stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-05-02T09:00:01Z","title":"An efficient algorithm for T-estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.0362","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":"sha256:33f9b062cf18c63818eb5472a5daa9d211770f91139c5cd0ddc4c144268e8d61","target":"record","created_at":"2026-05-18T01:09:38Z","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":"80ef37911bebd04e972a606d4608a928dc9f9a3efcc306b5a75ff3506f1fd387","cross_cats_sorted":["stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-05-02T09:00:01Z","title_canon_sha256":"549b5be7c33c1137857a7a773efb2149a0c5848bc0b0a8a9ad83ee61fb4f8a1c"},"schema_version":"1.0","source":{"id":"1405.0362","kind":"arxiv","version":2}},"canonical_sha256":"d373f7b1736651fd4eb387173237c457538bcdc5ec929495b89aef29f0a4dbbc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d373f7b1736651fd4eb387173237c457538bcdc5ec929495b89aef29f0a4dbbc","first_computed_at":"2026-05-18T01:09:38.177021Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:09:38.177021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iyNbBQF5fnVFN3YL8NPrZlixny+G/T5WOKRDBnBOP8ozkgZ+drrB1Rswa3M0I4zpx8Iwe7l0rQid8cZGNGRzBA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:09:38.177475Z","signed_message":"canonical_sha256_bytes"},"source_id":"1405.0362","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:33f9b062cf18c63818eb5472a5daa9d211770f91139c5cd0ddc4c144268e8d61","sha256:2e8b30d8cda8a42d9e8e38cae9e83b789bba8d711c6a629e3eaa5b4523464be3"],"state_sha256":"44cd3303945932adc0d745418b8004d2158eb5e81d670aeead941dcf81c80757"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x9ZQzhG11CU2b+2ArvuIBxuAfuryHxfR6cbb2xOUTyN8sfyiUDVdZoR117q4j3KnQnCW1B7nbE9GNW3aKhgvDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T02:18:08.293041Z","bundle_sha256":"d0059f65a5c176a7fb9f3e322406f801e5081f6972999cc7e7d60322725c6221"}}