{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:EVKRSELFGO5DKTQHHO3BJOAZA5","short_pith_number":"pith:EVKRSELF","canonical_record":{"source":{"id":"1805.11477","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-05-26T13:42:04Z","cross_cats_sorted":[],"title_canon_sha256":"e0efa711d0c0993f827aa1663dfd88d25b12caa75a6aadb750c4418c151da97c","abstract_canon_sha256":"10b429acd6f2e188fc9e6bf7393316cdc63d8b6c6260ab0a18d3a2a366df4562"},"schema_version":"1.0"},"canonical_sha256":"255519116533ba354e073bb614b8190776f7ba5a4fb05335ac01b328593c1fe0","source":{"kind":"arxiv","id":"1805.11477","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.11477","created_at":"2026-05-18T00:14:42Z"},{"alias_kind":"arxiv_version","alias_value":"1805.11477v1","created_at":"2026-05-18T00:14:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.11477","created_at":"2026-05-18T00:14:42Z"},{"alias_kind":"pith_short_12","alias_value":"EVKRSELFGO5D","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EVKRSELFGO5DKTQH","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EVKRSELF","created_at":"2026-05-18T12:32:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:EVKRSELFGO5DKTQHHO3BJOAZA5","target":"record","payload":{"canonical_record":{"source":{"id":"1805.11477","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-05-26T13:42:04Z","cross_cats_sorted":[],"title_canon_sha256":"e0efa711d0c0993f827aa1663dfd88d25b12caa75a6aadb750c4418c151da97c","abstract_canon_sha256":"10b429acd6f2e188fc9e6bf7393316cdc63d8b6c6260ab0a18d3a2a366df4562"},"schema_version":"1.0"},"canonical_sha256":"255519116533ba354e073bb614b8190776f7ba5a4fb05335ac01b328593c1fe0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:42.398429Z","signature_b64":"B5ICRIHi75yN+DBsNROOjG21/foyL4IUfNmWfGZCX/FNHXVoHICS9NvQTJx3Ap90w0vUgF4zjYq6w/768uS4Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"255519116533ba354e073bb614b8190776f7ba5a4fb05335ac01b328593c1fe0","last_reissued_at":"2026-05-18T00:14:42.397745Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:42.397745Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.11477","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":"2026-05-18T00:14:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JWZjR0OBwwSzO7fSGyznxdaCs+m2mJUmh/97iU0Q4+oW10l6N/D7cAq/Bhl8vU4VItm6L+zlf+HZ61VU1i/zAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T06:35:02.516507Z"},"content_sha256":"3ebbe41f08e5904442f48364c100fc61a5969dceb509d9355f8445b1f226dbda","schema_version":"1.0","event_id":"sha256:3ebbe41f08e5904442f48364c100fc61a5969dceb509d9355f8445b1f226dbda"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:EVKRSELFGO5DKTQHHO3BJOAZA5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large-Scale Learning from Data Streams with Apache SAMOA","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Albert Bifet, Gianmarco De Francisci Morales, Nicolas Kourtellis","submitted_at":"2018-05-26T13:42:04Z","abstract_excerpt":"Apache SAMOA (Scalable Advanced Massive Online Analysis) is an open-source platform for mining big data streams. Big data is defined as datasets whose size is beyond the ability of typical software tools to capture, store, manage, and analyze, due to the time and memory complexity. Apache SAMOA provides a collection of distributed streaming algorithms for the most common data mining and machine learning tasks such as classification, clustering, and regression, as well as programming abstractions to develop new algorithms. It features a pluggable architecture that allows it to run on several di"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.11477","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":"2026-05-18T00:14:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tzINT4+d780EzpLyvgEGio4NTtgN9q+0/xeHtrK9FQAjxSiBh4k4WfR2Dx4PTAIFGXjDqhYs/cbm5vbC6KFkBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T06:35:02.517214Z"},"content_sha256":"57066cde7c07c75ef7b4d96b52f828ba61171ba15d077254c83caf301e29d331","schema_version":"1.0","event_id":"sha256:57066cde7c07c75ef7b4d96b52f828ba61171ba15d077254c83caf301e29d331"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EVKRSELFGO5DKTQHHO3BJOAZA5/bundle.json","state_url":"https://pith.science/pith/EVKRSELFGO5DKTQHHO3BJOAZA5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EVKRSELFGO5DKTQHHO3BJOAZA5/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":"2026-06-07T06:35:02Z","links":{"resolver":"https://pith.science/pith/EVKRSELFGO5DKTQHHO3BJOAZA5","bundle":"https://pith.science/pith/EVKRSELFGO5DKTQHHO3BJOAZA5/bundle.json","state":"https://pith.science/pith/EVKRSELFGO5DKTQHHO3BJOAZA5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EVKRSELFGO5DKTQHHO3BJOAZA5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:EVKRSELFGO5DKTQHHO3BJOAZA5","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":"10b429acd6f2e188fc9e6bf7393316cdc63d8b6c6260ab0a18d3a2a366df4562","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-05-26T13:42:04Z","title_canon_sha256":"e0efa711d0c0993f827aa1663dfd88d25b12caa75a6aadb750c4418c151da97c"},"schema_version":"1.0","source":{"id":"1805.11477","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.11477","created_at":"2026-05-18T00:14:42Z"},{"alias_kind":"arxiv_version","alias_value":"1805.11477v1","created_at":"2026-05-18T00:14:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.11477","created_at":"2026-05-18T00:14:42Z"},{"alias_kind":"pith_short_12","alias_value":"EVKRSELFGO5D","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EVKRSELFGO5DKTQH","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EVKRSELF","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:57066cde7c07c75ef7b4d96b52f828ba61171ba15d077254c83caf301e29d331","target":"graph","created_at":"2026-05-18T00:14:42Z","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":"Apache SAMOA (Scalable Advanced Massive Online Analysis) is an open-source platform for mining big data streams. Big data is defined as datasets whose size is beyond the ability of typical software tools to capture, store, manage, and analyze, due to the time and memory complexity. Apache SAMOA provides a collection of distributed streaming algorithms for the most common data mining and machine learning tasks such as classification, clustering, and regression, as well as programming abstractions to develop new algorithms. It features a pluggable architecture that allows it to run on several di","authors_text":"Albert Bifet, Gianmarco De Francisci Morales, Nicolas Kourtellis","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-05-26T13:42:04Z","title":"Large-Scale Learning from Data Streams with Apache SAMOA"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.11477","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":"sha256:3ebbe41f08e5904442f48364c100fc61a5969dceb509d9355f8445b1f226dbda","target":"record","created_at":"2026-05-18T00:14:42Z","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":"10b429acd6f2e188fc9e6bf7393316cdc63d8b6c6260ab0a18d3a2a366df4562","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-05-26T13:42:04Z","title_canon_sha256":"e0efa711d0c0993f827aa1663dfd88d25b12caa75a6aadb750c4418c151da97c"},"schema_version":"1.0","source":{"id":"1805.11477","kind":"arxiv","version":1}},"canonical_sha256":"255519116533ba354e073bb614b8190776f7ba5a4fb05335ac01b328593c1fe0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"255519116533ba354e073bb614b8190776f7ba5a4fb05335ac01b328593c1fe0","first_computed_at":"2026-05-18T00:14:42.397745Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:42.397745Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"B5ICRIHi75yN+DBsNROOjG21/foyL4IUfNmWfGZCX/FNHXVoHICS9NvQTJx3Ap90w0vUgF4zjYq6w/768uS4Aw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:42.398429Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.11477","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ebbe41f08e5904442f48364c100fc61a5969dceb509d9355f8445b1f226dbda","sha256:57066cde7c07c75ef7b4d96b52f828ba61171ba15d077254c83caf301e29d331"],"state_sha256":"608091f9a314eb188eba8da8cfba4ebbb937f8c9ad4bf79b2d848628bf411f94"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gjg5URiozFC6tTTy5OmTVHfUVVStSedhBHQZBZwgq3W1tip5pXCKMuW9n8J1DYstpQycBH26IIUlL4sITrfPCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T06:35:02.521124Z","bundle_sha256":"315d3a23547d4ff25b684746188aa6f89c5ad00ffb803678a8bd5506c78da319"}}