{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:DWDA36CJRLEOVFUUK4RYWS6A4H","short_pith_number":"pith:DWDA36CJ","schema_version":"1.0","canonical_sha256":"1d860df8498ac8ea969457238b4bc0e1fc21f867a26d1018ac2bd4c98189b378","source":{"kind":"arxiv","id":"1602.06489","version":1},"attestation_state":"computed","paper":{"title":"Distributed Private Online Learning for Social Big Data Computing over Data Center Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SI"],"primary_cat":"cs.DC","authors_text":"Chencheng Li, Kaigui Bian, Pan Zhou, Susanto Rahardja, Tao Jiang, Yingxue Zhou","submitted_at":"2016-02-21T02:32:25Z","abstract_excerpt":"With the rapid growth of Internet technologies, cloud computing and social networks have become ubiquitous. An increasing number of people participate in social networks and massive online social data are obtained. In order to exploit knowledge from copious amounts of data obtained and predict social behavior of users, we urge to realize data mining in social networks. Almost all online websites use cloud services to effectively process the large scale of social data, which are gathered from distributed data centers. These data are so large-scale, high-dimension and widely distributed that we "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1602.06489","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2016-02-21T02:32:25Z","cross_cats_sorted":["cs.LG","cs.SI"],"title_canon_sha256":"65fdda979163a1c35549fb4e380ba61b06cc3b01d4a8e5eaf9820876d6df9dfb","abstract_canon_sha256":"f19e4a6a287ce168d8dda1973f96dd7b56c14a58016de9900203ad379085b499"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:20:13.828513Z","signature_b64":"xseGGsRBdw4VREj0ok0QoSEez4PP9gNZWAjSo5PoTVuh6vuJSfbX0+AiU2m4YzZ3zWVQl+1xxEnFzmBYPxqBBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d860df8498ac8ea969457238b4bc0e1fc21f867a26d1018ac2bd4c98189b378","last_reissued_at":"2026-05-18T01:20:13.827881Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:20:13.827881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Distributed Private Online Learning for Social Big Data Computing over Data Center Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SI"],"primary_cat":"cs.DC","authors_text":"Chencheng Li, Kaigui Bian, Pan Zhou, Susanto Rahardja, Tao Jiang, Yingxue Zhou","submitted_at":"2016-02-21T02:32:25Z","abstract_excerpt":"With the rapid growth of Internet technologies, cloud computing and social networks have become ubiquitous. An increasing number of people participate in social networks and massive online social data are obtained. In order to exploit knowledge from copious amounts of data obtained and predict social behavior of users, we urge to realize data mining in social networks. Almost all online websites use cloud services to effectively process the large scale of social data, which are gathered from distributed data centers. These data are so large-scale, high-dimension and widely distributed that we "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.06489","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1602.06489","created_at":"2026-05-18T01:20:13.827982+00:00"},{"alias_kind":"arxiv_version","alias_value":"1602.06489v1","created_at":"2026-05-18T01:20:13.827982+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.06489","created_at":"2026-05-18T01:20:13.827982+00:00"},{"alias_kind":"pith_short_12","alias_value":"DWDA36CJRLEO","created_at":"2026-05-18T12:30:12.583610+00:00"},{"alias_kind":"pith_short_16","alias_value":"DWDA36CJRLEOVFUU","created_at":"2026-05-18T12:30:12.583610+00:00"},{"alias_kind":"pith_short_8","alias_value":"DWDA36CJ","created_at":"2026-05-18T12:30:12.583610+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DWDA36CJRLEOVFUUK4RYWS6A4H","json":"https://pith.science/pith/DWDA36CJRLEOVFUUK4RYWS6A4H.json","graph_json":"https://pith.science/api/pith-number/DWDA36CJRLEOVFUUK4RYWS6A4H/graph.json","events_json":"https://pith.science/api/pith-number/DWDA36CJRLEOVFUUK4RYWS6A4H/events.json","paper":"https://pith.science/paper/DWDA36CJ"},"agent_actions":{"view_html":"https://pith.science/pith/DWDA36CJRLEOVFUUK4RYWS6A4H","download_json":"https://pith.science/pith/DWDA36CJRLEOVFUUK4RYWS6A4H.json","view_paper":"https://pith.science/paper/DWDA36CJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1602.06489&json=true","fetch_graph":"https://pith.science/api/pith-number/DWDA36CJRLEOVFUUK4RYWS6A4H/graph.json","fetch_events":"https://pith.science/api/pith-number/DWDA36CJRLEOVFUUK4RYWS6A4H/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DWDA36CJRLEOVFUUK4RYWS6A4H/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DWDA36CJRLEOVFUUK4RYWS6A4H/action/storage_attestation","attest_author":"https://pith.science/pith/DWDA36CJRLEOVFUUK4RYWS6A4H/action/author_attestation","sign_citation":"https://pith.science/pith/DWDA36CJRLEOVFUUK4RYWS6A4H/action/citation_signature","submit_replication":"https://pith.science/pith/DWDA36CJRLEOVFUUK4RYWS6A4H/action/replication_record"}},"created_at":"2026-05-18T01:20:13.827982+00:00","updated_at":"2026-05-18T01:20:13.827982+00:00"}