{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QMNXBWCPCUSZKDEZAEXISR5NRF","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":"d555224923362def6dbc5c89eca5ba2adad9a2b4116d69d54d5a3ca6ca0fc1de","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-05-31T10:20:07Z","title_canon_sha256":"9a6138799d2c5a85a7bbaaecb99a90b2eedcafdb79d8090a00d8b33ede30048e"},"schema_version":"1.0","source":{"id":"2206.00006","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.00006","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"arxiv_version","alias_value":"2206.00006v2","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.00006","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"pith_short_12","alias_value":"QMNXBWCPCUSZ","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"pith_short_16","alias_value":"QMNXBWCPCUSZKDEZ","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"pith_short_8","alias_value":"QMNXBWCP","created_at":"2026-07-05T05:12:44Z"}],"graph_snapshots":[{"event_id":"sha256:5099b965e8c44e90b73874290a8e0dfbfa8cb46887c5dd94ff320f2ca9d75ede","target":"graph","created_at":"2026-07-05T05:12:44Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2206.00006/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Bipartite graphs are powerful data structures to model interactions between two types of nodes, which have been used in a variety of applications, such as recommender systems, information retrieval, and drug discovery. A fundamental challenge for bipartite graphs is how to learn informative node embeddings. Despite the success of recent self-supervised learning methods on bipartite graphs, their objectives are discriminating instance-wise positive and negative node pairs, which could contain cluster-level errors. In this paper, we introduce a novel co-cluster infomax (COIN) framework, which ca","authors_text":"Baoyu Jing, Hanghang Tong, Yada Zhu, Yuchen Yan","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-05-31T10:20:07Z","title":"COIN: Co-Cluster Infomax for Bipartite Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.00006","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":"sha256:47eb65cec936dddb237cc70a7ade1ac0bce69525b0572022938e7d297abdfdb1","target":"record","created_at":"2026-07-05T05:12:44Z","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":"d555224923362def6dbc5c89eca5ba2adad9a2b4116d69d54d5a3ca6ca0fc1de","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-05-31T10:20:07Z","title_canon_sha256":"9a6138799d2c5a85a7bbaaecb99a90b2eedcafdb79d8090a00d8b33ede30048e"},"schema_version":"1.0","source":{"id":"2206.00006","kind":"arxiv","version":2}},"canonical_sha256":"831b70d84f1525950c99012e8947ad8949b7c7d60ccbdcda1ceb6fdaacef7fcd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"831b70d84f1525950c99012e8947ad8949b7c7d60ccbdcda1ceb6fdaacef7fcd","first_computed_at":"2026-07-05T05:12:44.397137Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:12:44.397137Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/2ajScZHMQxr7drgO9/6Ok3HNzCXKzvBTVDWnZtd2WUWDtcIMaY03hAQQJtFy8UL3WKmTv7UuDOD5Dv8k+I8BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:12:44.397568Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.00006","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47eb65cec936dddb237cc70a7ade1ac0bce69525b0572022938e7d297abdfdb1","sha256:5099b965e8c44e90b73874290a8e0dfbfa8cb46887c5dd94ff320f2ca9d75ede"],"state_sha256":"a95217aa57ee784c6b99fdc6d820078ccccb6eaec356ef1bf06f0a9e4c8c3b5c"}