{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:MI6RAZRPCAQD24MW5E6INY4BL6","short_pith_number":"pith:MI6RAZRP","canonical_record":{"source":{"id":"1810.09733","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-23T09:12:34Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"8ae790f649c18a2b0faaa5a20a73203e9e13e21a474e63684cbf03b51a48b603","abstract_canon_sha256":"9782c6ddc5a6b53f398df456437378634b64b1f18cf865a4770233e28f5d8c71"},"schema_version":"1.0"},"canonical_sha256":"623d10662f10203d7196e93c86e3815f8e931db782717282feddacb6b8e6ee0f","source":{"kind":"arxiv","id":"1810.09733","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.09733","created_at":"2026-05-17T23:51:05Z"},{"alias_kind":"arxiv_version","alias_value":"1810.09733v3","created_at":"2026-05-17T23:51:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.09733","created_at":"2026-05-17T23:51:05Z"},{"alias_kind":"pith_short_12","alias_value":"MI6RAZRPCAQD","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"MI6RAZRPCAQD24MW","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"MI6RAZRP","created_at":"2026-05-18T12:32:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:MI6RAZRPCAQD24MW5E6INY4BL6","target":"record","payload":{"canonical_record":{"source":{"id":"1810.09733","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-23T09:12:34Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"8ae790f649c18a2b0faaa5a20a73203e9e13e21a474e63684cbf03b51a48b603","abstract_canon_sha256":"9782c6ddc5a6b53f398df456437378634b64b1f18cf865a4770233e28f5d8c71"},"schema_version":"1.0"},"canonical_sha256":"623d10662f10203d7196e93c86e3815f8e931db782717282feddacb6b8e6ee0f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:05.393745Z","signature_b64":"iEn8rTM9PPIIR39Si7DA9bE16O0nr4vWDSvdHVppkV7/dWidFoe3NPcnPhnFEYLqnUi2BvyDULFES0ACxwD4DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"623d10662f10203d7196e93c86e3815f8e931db782717282feddacb6b8e6ee0f","last_reissued_at":"2026-05-17T23:51:05.393051Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:05.393051Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.09733","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:51:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C42UKx2D2G+YbZMM++5vnNR0IBB4RqUvyukOOlYnPxT/HKyolzWwSe+jB1SZnD1ubrChzyp2JGus1dHwSn3JCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T20:31:41.733784Z"},"content_sha256":"112c52abdbefd97db4e297de4ea004b7e7ad216ddcb18a17cb2dd44cc4db1c88","schema_version":"1.0","event_id":"sha256:112c52abdbefd97db4e297de4ea004b7e7ad216ddcb18a17cb2dd44cc4db1c88"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:MI6RAZRPCAQD24MW5E6INY4BL6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OCAPIS: R package for Ordinal Classification And Preprocessing In Scala","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Francisco Herrera, M. Cristina Heredia-G\\'omez, Pedro Antonio Guti\\'errez, Salvador Garc\\'ia","submitted_at":"2018-10-23T09:12:34Z","abstract_excerpt":"Ordinal Data are those where a natural order exist between the labels. The classification and pre-processing of this type of data is attracting more and more interest in the area of machine learning, due to its presence in many common problems. Traditionally, ordinal classification problems have been approached as nominal problems. However, that implies not taking into account their natural order constraints. In this paper, an innovative R package named ocapis (Ordinal Classification and Preprocessing In Scala) is introduced. Implemented mainly in Scala and available through Github, this libra"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.09733","kind":"arxiv","version":3},"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":"2026-05-17T23:51:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S4A+WPFhd6JQ3y2PQntHaG8iIDAGc/ADiiAK8zjrXpWBvX3f6ztVX81914Mv+naDp+8pO82n/fO8MrUkKvVQAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T20:31:41.734179Z"},"content_sha256":"1ec3d86b5ee9e91091a540faf7cc2c77fe3f60ec07a298ba492d1ef20ee65d63","schema_version":"1.0","event_id":"sha256:1ec3d86b5ee9e91091a540faf7cc2c77fe3f60ec07a298ba492d1ef20ee65d63"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MI6RAZRPCAQD24MW5E6INY4BL6/bundle.json","state_url":"https://pith.science/pith/MI6RAZRPCAQD24MW5E6INY4BL6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MI6RAZRPCAQD24MW5E6INY4BL6/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":"2026-05-29T20:31:41Z","links":{"resolver":"https://pith.science/pith/MI6RAZRPCAQD24MW5E6INY4BL6","bundle":"https://pith.science/pith/MI6RAZRPCAQD24MW5E6INY4BL6/bundle.json","state":"https://pith.science/pith/MI6RAZRPCAQD24MW5E6INY4BL6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MI6RAZRPCAQD24MW5E6INY4BL6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:MI6RAZRPCAQD24MW5E6INY4BL6","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":"9782c6ddc5a6b53f398df456437378634b64b1f18cf865a4770233e28f5d8c71","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-23T09:12:34Z","title_canon_sha256":"8ae790f649c18a2b0faaa5a20a73203e9e13e21a474e63684cbf03b51a48b603"},"schema_version":"1.0","source":{"id":"1810.09733","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.09733","created_at":"2026-05-17T23:51:05Z"},{"alias_kind":"arxiv_version","alias_value":"1810.09733v3","created_at":"2026-05-17T23:51:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.09733","created_at":"2026-05-17T23:51:05Z"},{"alias_kind":"pith_short_12","alias_value":"MI6RAZRPCAQD","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"MI6RAZRPCAQD24MW","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"MI6RAZRP","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:1ec3d86b5ee9e91091a540faf7cc2c77fe3f60ec07a298ba492d1ef20ee65d63","target":"graph","created_at":"2026-05-17T23:51:05Z","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":"Ordinal Data are those where a natural order exist between the labels. The classification and pre-processing of this type of data is attracting more and more interest in the area of machine learning, due to its presence in many common problems. Traditionally, ordinal classification problems have been approached as nominal problems. However, that implies not taking into account their natural order constraints. In this paper, an innovative R package named ocapis (Ordinal Classification and Preprocessing In Scala) is introduced. Implemented mainly in Scala and available through Github, this libra","authors_text":"Francisco Herrera, M. Cristina Heredia-G\\'omez, Pedro Antonio Guti\\'errez, Salvador Garc\\'ia","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-23T09:12:34Z","title":"OCAPIS: R package for Ordinal Classification And Preprocessing In Scala"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.09733","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":"sha256:112c52abdbefd97db4e297de4ea004b7e7ad216ddcb18a17cb2dd44cc4db1c88","target":"record","created_at":"2026-05-17T23:51:05Z","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":"9782c6ddc5a6b53f398df456437378634b64b1f18cf865a4770233e28f5d8c71","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-23T09:12:34Z","title_canon_sha256":"8ae790f649c18a2b0faaa5a20a73203e9e13e21a474e63684cbf03b51a48b603"},"schema_version":"1.0","source":{"id":"1810.09733","kind":"arxiv","version":3}},"canonical_sha256":"623d10662f10203d7196e93c86e3815f8e931db782717282feddacb6b8e6ee0f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"623d10662f10203d7196e93c86e3815f8e931db782717282feddacb6b8e6ee0f","first_computed_at":"2026-05-17T23:51:05.393051Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:51:05.393051Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iEn8rTM9PPIIR39Si7DA9bE16O0nr4vWDSvdHVppkV7/dWidFoe3NPcnPhnFEYLqnUi2BvyDULFES0ACxwD4DQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:51:05.393745Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.09733","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:112c52abdbefd97db4e297de4ea004b7e7ad216ddcb18a17cb2dd44cc4db1c88","sha256:1ec3d86b5ee9e91091a540faf7cc2c77fe3f60ec07a298ba492d1ef20ee65d63"],"state_sha256":"41a28431b5fc721ea20836304d24ac0f77407f3bf3371372a32855a342098c95"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IKw0XfRz12sYz3VK5dy9Y4tvrSmkEKXmtjrCHuTQtuJl4JC4WqHdcegs9kTcScNwC4qpNnSUU0YGPzYQAc2SCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T20:31:41.737135Z","bundle_sha256":"a266d3fe89c2300b7baf1396c5bdef7754cc28d25106f1722826750d44f3a660"}}