{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:SN47VQEO25L72FZYJFHGZ2LG4T","short_pith_number":"pith:SN47VQEO","canonical_record":{"source":{"id":"1604.07990","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-04-27T09:28:27Z","cross_cats_sorted":["cs.DC","stat.ML"],"title_canon_sha256":"2c2d122452e435c2a4b3f5f7e22b66921b42c663a8a2f6e0a62b66a253590738","abstract_canon_sha256":"5146d814f38f72c692b6277b2b31cfd2f7eef7f2d1492a24c0ee1884eb730873"},"schema_version":"1.0"},"canonical_sha256":"9379fac08ed757fd1738494e6ce966e4d9bff0528556ce395cd71eff529faaa2","source":{"kind":"arxiv","id":"1604.07990","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.07990","created_at":"2026-05-18T00:40:46Z"},{"alias_kind":"arxiv_version","alias_value":"1604.07990v1","created_at":"2026-05-18T00:40:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.07990","created_at":"2026-05-18T00:40:46Z"},{"alias_kind":"pith_short_12","alias_value":"SN47VQEO25L7","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"SN47VQEO25L72FZY","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"SN47VQEO","created_at":"2026-05-18T12:30:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:SN47VQEO25L72FZYJFHGZ2LG4T","target":"record","payload":{"canonical_record":{"source":{"id":"1604.07990","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-04-27T09:28:27Z","cross_cats_sorted":["cs.DC","stat.ML"],"title_canon_sha256":"2c2d122452e435c2a4b3f5f7e22b66921b42c663a8a2f6e0a62b66a253590738","abstract_canon_sha256":"5146d814f38f72c692b6277b2b31cfd2f7eef7f2d1492a24c0ee1884eb730873"},"schema_version":"1.0"},"canonical_sha256":"9379fac08ed757fd1738494e6ce966e4d9bff0528556ce395cd71eff529faaa2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:40:46.796313Z","signature_b64":"s3HhLJq67UwDIyRgorrkmN5hGn40EHSxMoEpnEMB9O7skYi0PUhUNf952sOUe+L+NDJHIEWTaNxCUxUlH6HZCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9379fac08ed757fd1738494e6ce966e4d9bff0528556ce395cd71eff529faaa2","last_reissued_at":"2026-05-18T00:40:46.795672Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:40:46.795672Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1604.07990","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":"2026-05-18T00:40:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8JM2jWgToc3LcZi6KR9vLg8xfF7Zt4vYEN9cPGdi+zWSXNfA+ozWv61xqGe105dAY5wTS21iskLBAhBKRz3qAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T06:15:45.851645Z"},"content_sha256":"b9a0570b26bf34e51692d6ce7424ba5b8b8b3a80846c8e4d26d34958280f4981","schema_version":"1.0","event_id":"sha256:b9a0570b26bf34e51692d6ce7424ba5b8b8b3a80846c8e4d26d34958280f4981"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:SN47VQEO25L72FZYJFHGZ2LG4T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Probabilistic Graphical Models on Multi-Core CPUs using Java 8","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DC","stat.ML"],"primary_cat":"cs.AI","authors_text":"Ana M. Martinez, Andres R. Masegosa, Hanen Borchani","submitted_at":"2016-04-27T09:28:27Z","abstract_excerpt":"In this paper, we discuss software design issues related to the development of parallel computational intelligence algorithms on multi-core CPUs, using the new Java 8 functional programming features. In particular, we focus on probabilistic graphical models (PGMs) and present the parallelisation of a collection of algorithms that deal with inference and learning of PGMs from data. Namely, maximum likelihood estimation, importance sampling, and greedy search for solving combinatorial optimisation problems. Through these concrete examples, we tackle the problem of defining efficient data structu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.07990","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":"2026-05-18T00:40:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O5h866sMVue4TUqIVc1sIcpBuOx3hUYmU25AJkcyQ9hAa0lqSyfGmfnLhx8LvudjD7B0unchzRBGFWws6OLMCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T06:15:45.852337Z"},"content_sha256":"58dc723784e429458f57ad1c01811f14117211da8e7494130ea3b13bfb5b31f8","schema_version":"1.0","event_id":"sha256:58dc723784e429458f57ad1c01811f14117211da8e7494130ea3b13bfb5b31f8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SN47VQEO25L72FZYJFHGZ2LG4T/bundle.json","state_url":"https://pith.science/pith/SN47VQEO25L72FZYJFHGZ2LG4T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SN47VQEO25L72FZYJFHGZ2LG4T/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":"2026-05-26T06:15:45Z","links":{"resolver":"https://pith.science/pith/SN47VQEO25L72FZYJFHGZ2LG4T","bundle":"https://pith.science/pith/SN47VQEO25L72FZYJFHGZ2LG4T/bundle.json","state":"https://pith.science/pith/SN47VQEO25L72FZYJFHGZ2LG4T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SN47VQEO25L72FZYJFHGZ2LG4T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:SN47VQEO25L72FZYJFHGZ2LG4T","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":"5146d814f38f72c692b6277b2b31cfd2f7eef7f2d1492a24c0ee1884eb730873","cross_cats_sorted":["cs.DC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-04-27T09:28:27Z","title_canon_sha256":"2c2d122452e435c2a4b3f5f7e22b66921b42c663a8a2f6e0a62b66a253590738"},"schema_version":"1.0","source":{"id":"1604.07990","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.07990","created_at":"2026-05-18T00:40:46Z"},{"alias_kind":"arxiv_version","alias_value":"1604.07990v1","created_at":"2026-05-18T00:40:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.07990","created_at":"2026-05-18T00:40:46Z"},{"alias_kind":"pith_short_12","alias_value":"SN47VQEO25L7","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"SN47VQEO25L72FZY","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"SN47VQEO","created_at":"2026-05-18T12:30:44Z"}],"graph_snapshots":[{"event_id":"sha256:58dc723784e429458f57ad1c01811f14117211da8e7494130ea3b13bfb5b31f8","target":"graph","created_at":"2026-05-18T00:40:46Z","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":"In this paper, we discuss software design issues related to the development of parallel computational intelligence algorithms on multi-core CPUs, using the new Java 8 functional programming features. In particular, we focus on probabilistic graphical models (PGMs) and present the parallelisation of a collection of algorithms that deal with inference and learning of PGMs from data. Namely, maximum likelihood estimation, importance sampling, and greedy search for solving combinatorial optimisation problems. Through these concrete examples, we tackle the problem of defining efficient data structu","authors_text":"Ana M. Martinez, Andres R. Masegosa, Hanen Borchani","cross_cats":["cs.DC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-04-27T09:28:27Z","title":"Probabilistic Graphical Models on Multi-Core CPUs using Java 8"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.07990","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:b9a0570b26bf34e51692d6ce7424ba5b8b8b3a80846c8e4d26d34958280f4981","target":"record","created_at":"2026-05-18T00:40:46Z","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":"5146d814f38f72c692b6277b2b31cfd2f7eef7f2d1492a24c0ee1884eb730873","cross_cats_sorted":["cs.DC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-04-27T09:28:27Z","title_canon_sha256":"2c2d122452e435c2a4b3f5f7e22b66921b42c663a8a2f6e0a62b66a253590738"},"schema_version":"1.0","source":{"id":"1604.07990","kind":"arxiv","version":1}},"canonical_sha256":"9379fac08ed757fd1738494e6ce966e4d9bff0528556ce395cd71eff529faaa2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9379fac08ed757fd1738494e6ce966e4d9bff0528556ce395cd71eff529faaa2","first_computed_at":"2026-05-18T00:40:46.795672Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:40:46.795672Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s3HhLJq67UwDIyRgorrkmN5hGn40EHSxMoEpnEMB9O7skYi0PUhUNf952sOUe+L+NDJHIEWTaNxCUxUlH6HZCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:40:46.796313Z","signed_message":"canonical_sha256_bytes"},"source_id":"1604.07990","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b9a0570b26bf34e51692d6ce7424ba5b8b8b3a80846c8e4d26d34958280f4981","sha256:58dc723784e429458f57ad1c01811f14117211da8e7494130ea3b13bfb5b31f8"],"state_sha256":"f3cad81f4738be27f49b9e7c0a2d80516cd1faf7cfc4232272a7c76391560f61"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3x9fPNCltSzkqvoGO15RDOvAoYBpwhCrlyO39vrD5TRj4O2abYjV+tJui2HuOrz3BjkfU9fpZ8kJU0YosjjgBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T06:15:45.856201Z","bundle_sha256":"0349ca6866963b6cb0ded1e5d989633270f09ab7d261e27d29a8d93d686a4804"}}