{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:MDKUTJZPUFMFPTA6IF6LXXOOVS","short_pith_number":"pith:MDKUTJZP","canonical_record":{"source":{"id":"1203.5716","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-03-26T16:25:35Z","cross_cats_sorted":[],"title_canon_sha256":"421055b7267a4708f5d5c0c2f2344b9eeba3296f87b84813675544b5c5b82ee2","abstract_canon_sha256":"852d9509ed76f9180ad1ce4162fa34c5bf9f49b10285ac26d3bfcce19500c596"},"schema_version":"1.0"},"canonical_sha256":"60d549a72fa15857cc1e417cbbddceac8ab08f4441c1292fffef41e7c7d0f4b6","source":{"kind":"arxiv","id":"1203.5716","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.5716","created_at":"2026-05-18T02:21:16Z"},{"alias_kind":"arxiv_version","alias_value":"1203.5716v2","created_at":"2026-05-18T02:21:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.5716","created_at":"2026-05-18T02:21:16Z"},{"alias_kind":"pith_short_12","alias_value":"MDKUTJZPUFMF","created_at":"2026-05-18T12:27:14Z"},{"alias_kind":"pith_short_16","alias_value":"MDKUTJZPUFMFPTA6","created_at":"2026-05-18T12:27:14Z"},{"alias_kind":"pith_short_8","alias_value":"MDKUTJZP","created_at":"2026-05-18T12:27:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:MDKUTJZPUFMFPTA6IF6LXXOOVS","target":"record","payload":{"canonical_record":{"source":{"id":"1203.5716","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-03-26T16:25:35Z","cross_cats_sorted":[],"title_canon_sha256":"421055b7267a4708f5d5c0c2f2344b9eeba3296f87b84813675544b5c5b82ee2","abstract_canon_sha256":"852d9509ed76f9180ad1ce4162fa34c5bf9f49b10285ac26d3bfcce19500c596"},"schema_version":"1.0"},"canonical_sha256":"60d549a72fa15857cc1e417cbbddceac8ab08f4441c1292fffef41e7c7d0f4b6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:21:16.845344Z","signature_b64":"UreLocwWIkre1B2qk7D4TrhLbh3OT79vuhMUn6DII47pIoxBzm8hntqWEXtCESzOEQ6eiIHMv4G5fQ5pgU1TCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60d549a72fa15857cc1e417cbbddceac8ab08f4441c1292fffef41e7c7d0f4b6","last_reissued_at":"2026-05-18T02:21:16.844713Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:21:16.844713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1203.5716","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":"2026-05-18T02:21:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z69aCcZqkSv8fxQpJpFOP7CYH+BnDfpVHa5DC48TqA85l5AZQQJnoq5sxABHI3ty+acSCqfofo80Q/1kdJ5cAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T22:19:57.434900Z"},"content_sha256":"0d900d8952fdfa8b353ca04f65dd6fdc80d9b8f61dab3fc0a8cf767476dbf913","schema_version":"1.0","event_id":"sha256:0d900d8952fdfa8b353ca04f65dd6fdc80d9b8f61dab3fc0a8cf767476dbf913"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:MDKUTJZPUFMFPTA6IF6LXXOOVS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Credal Classification based on AODE and compression coefficients","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Alessandro Antonucci, Giorgio Corani","submitted_at":"2012-03-26T16:25:35Z","abstract_excerpt":"Bayesian model averaging (BMA) is an approach to average over alternative models; yet, it usually gets excessively concentrated around the single most probable model, therefore achieving only sub-optimal classification performance. The compression-based approach (Boulle, 2007) overcomes this problem, averaging over the different models by applying a logarithmic smoothing over the models' posterior probabilities. This approach has shown excellent performances when applied to ensembles of naive Bayes classifiers. AODE is another ensemble of models with high performance (Webb, 2005), based on a c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.5716","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":"2026-05-18T02:21:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YP0nIeQ1LtDVkP7w637zqEuWNPER5aUATbF0KGUvFJ+9nv4PReX5100FO2j5TxctZc2ffQnobvwYEi+4MQ/zDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T22:19:57.435247Z"},"content_sha256":"5e9ba0a43cf5ed9f27a3c632e5d50a80603872ec735443df8690ac570fe94ad6","schema_version":"1.0","event_id":"sha256:5e9ba0a43cf5ed9f27a3c632e5d50a80603872ec735443df8690ac570fe94ad6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MDKUTJZPUFMFPTA6IF6LXXOOVS/bundle.json","state_url":"https://pith.science/pith/MDKUTJZPUFMFPTA6IF6LXXOOVS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MDKUTJZPUFMFPTA6IF6LXXOOVS/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":"2026-06-01T22:19:57Z","links":{"resolver":"https://pith.science/pith/MDKUTJZPUFMFPTA6IF6LXXOOVS","bundle":"https://pith.science/pith/MDKUTJZPUFMFPTA6IF6LXXOOVS/bundle.json","state":"https://pith.science/pith/MDKUTJZPUFMFPTA6IF6LXXOOVS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MDKUTJZPUFMFPTA6IF6LXXOOVS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:MDKUTJZPUFMFPTA6IF6LXXOOVS","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":"852d9509ed76f9180ad1ce4162fa34c5bf9f49b10285ac26d3bfcce19500c596","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-03-26T16:25:35Z","title_canon_sha256":"421055b7267a4708f5d5c0c2f2344b9eeba3296f87b84813675544b5c5b82ee2"},"schema_version":"1.0","source":{"id":"1203.5716","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.5716","created_at":"2026-05-18T02:21:16Z"},{"alias_kind":"arxiv_version","alias_value":"1203.5716v2","created_at":"2026-05-18T02:21:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.5716","created_at":"2026-05-18T02:21:16Z"},{"alias_kind":"pith_short_12","alias_value":"MDKUTJZPUFMF","created_at":"2026-05-18T12:27:14Z"},{"alias_kind":"pith_short_16","alias_value":"MDKUTJZPUFMFPTA6","created_at":"2026-05-18T12:27:14Z"},{"alias_kind":"pith_short_8","alias_value":"MDKUTJZP","created_at":"2026-05-18T12:27:14Z"}],"graph_snapshots":[{"event_id":"sha256:5e9ba0a43cf5ed9f27a3c632e5d50a80603872ec735443df8690ac570fe94ad6","target":"graph","created_at":"2026-05-18T02:21:16Z","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":"Bayesian model averaging (BMA) is an approach to average over alternative models; yet, it usually gets excessively concentrated around the single most probable model, therefore achieving only sub-optimal classification performance. The compression-based approach (Boulle, 2007) overcomes this problem, averaging over the different models by applying a logarithmic smoothing over the models' posterior probabilities. This approach has shown excellent performances when applied to ensembles of naive Bayes classifiers. AODE is another ensemble of models with high performance (Webb, 2005), based on a c","authors_text":"Alessandro Antonucci, Giorgio Corani","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-03-26T16:25:35Z","title":"Credal Classification based on AODE and compression coefficients"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.5716","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":"sha256:0d900d8952fdfa8b353ca04f65dd6fdc80d9b8f61dab3fc0a8cf767476dbf913","target":"record","created_at":"2026-05-18T02:21:16Z","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":"852d9509ed76f9180ad1ce4162fa34c5bf9f49b10285ac26d3bfcce19500c596","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-03-26T16:25:35Z","title_canon_sha256":"421055b7267a4708f5d5c0c2f2344b9eeba3296f87b84813675544b5c5b82ee2"},"schema_version":"1.0","source":{"id":"1203.5716","kind":"arxiv","version":2}},"canonical_sha256":"60d549a72fa15857cc1e417cbbddceac8ab08f4441c1292fffef41e7c7d0f4b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60d549a72fa15857cc1e417cbbddceac8ab08f4441c1292fffef41e7c7d0f4b6","first_computed_at":"2026-05-18T02:21:16.844713Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:21:16.844713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UreLocwWIkre1B2qk7D4TrhLbh3OT79vuhMUn6DII47pIoxBzm8hntqWEXtCESzOEQ6eiIHMv4G5fQ5pgU1TCw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:21:16.845344Z","signed_message":"canonical_sha256_bytes"},"source_id":"1203.5716","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0d900d8952fdfa8b353ca04f65dd6fdc80d9b8f61dab3fc0a8cf767476dbf913","sha256:5e9ba0a43cf5ed9f27a3c632e5d50a80603872ec735443df8690ac570fe94ad6"],"state_sha256":"8e741e28abbf720d3e5596a78efa819e08cefbbfac63ce5c07787cfc8f08dd6c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/QSbKQBY/XRgzM1y+croRjwE5nNB1rLL13or+QrAyZEXBQYz1WvDahJ48WkYhojRtkZ6d50+K5pnpWmYJhgKCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T22:19:57.437224Z","bundle_sha256":"9567a88323a36ecc46600b958943327eed63e18d1201a4186a48cdc668697f2c"}}