{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:RYVZKJXRU3HVMMD3CSLVUXDPFJ","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":"26b787a2ddbc6c18152a1d4a3358c4db85cc7c11bebe4c9cfc038dde562e8408","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-01-13T04:20:09Z","title_canon_sha256":"5c75bf3a8f5319bd256986b9f89b63cbdbe872aa4d09754a35498aa19f5b48fb"},"schema_version":"1.0","source":{"id":"1601.03124","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1601.03124","created_at":"2026-05-18T01:22:56Z"},{"alias_kind":"arxiv_version","alias_value":"1601.03124v1","created_at":"2026-05-18T01:22:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.03124","created_at":"2026-05-18T01:22:56Z"},{"alias_kind":"pith_short_12","alias_value":"RYVZKJXRU3HV","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"RYVZKJXRU3HVMMD3","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"RYVZKJXR","created_at":"2026-05-18T12:30:41Z"}],"graph_snapshots":[{"event_id":"sha256:cfe92aa2cbd4b5bb32f4a5957282192099f12b0804da8a3e3f901ca8a0d30b8b","target":"graph","created_at":"2026-05-18T01:22:56Z","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":"Dyadic Data Prediction (DDP) is an important problem in many research areas. This paper develops a novel fully Bayesian nonparametric framework which integrates two popular and complementary approaches, discrete mixed membership modeling and continuous latent factor modeling into a unified Heterogeneous Matrix Factorization~(HeMF) model, which can predict the unobserved dyadics accurately. The HeMF can determine the number of communities automatically and exploit the latent linear structure for each bicluster efficiently. We propose a Variational Bayesian method to estimate the parameters and ","authors_text":"Fengyuan Zhu, Guangyong Chen, Pheng Ann Heng","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-01-13T04:20:09Z","title":"Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.03124","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":"sha256:462ede1787193c9e6b51fa42b2dd90383085c4e96c58783fe9918b315b23363b","target":"record","created_at":"2026-05-18T01:22:56Z","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":"26b787a2ddbc6c18152a1d4a3358c4db85cc7c11bebe4c9cfc038dde562e8408","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-01-13T04:20:09Z","title_canon_sha256":"5c75bf3a8f5319bd256986b9f89b63cbdbe872aa4d09754a35498aa19f5b48fb"},"schema_version":"1.0","source":{"id":"1601.03124","kind":"arxiv","version":1}},"canonical_sha256":"8e2b9526f1a6cf56307b14975a5c6f2a5f0e65828596ab9a927d4065f1389ba9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8e2b9526f1a6cf56307b14975a5c6f2a5f0e65828596ab9a927d4065f1389ba9","first_computed_at":"2026-05-18T01:22:56.832291Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:22:56.832291Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Sz+jYuI2IcFaFT0WLqGrbMXHjij5pr1fhj9vXQqab0RoTzFIYssRwfe1QgmFKM9vCmuNJTcuyBXRtqeVCnGeAg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:22:56.832789Z","signed_message":"canonical_sha256_bytes"},"source_id":"1601.03124","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:462ede1787193c9e6b51fa42b2dd90383085c4e96c58783fe9918b315b23363b","sha256:cfe92aa2cbd4b5bb32f4a5957282192099f12b0804da8a3e3f901ca8a0d30b8b"],"state_sha256":"c06bbb4384065431eda431edafdd2856b83d3d7c9df07f119fd161654c0852b9"}