{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:VSMYLXHRINVHRRKRCWYZN2KZCP","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":"51bba6fbdff1e70a821bc53eb69abc35951b621437509a76508384e41637e568","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-04-30T17:25:45Z","title_canon_sha256":"6f8eeddc32c1ee6030278f39373d65024f501bb2ea96c6043f5dae8d150e7d8f"},"schema_version":"1.0","source":{"id":"1705.00347","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.00347","created_at":"2026-05-17T23:54:26Z"},{"alias_kind":"arxiv_version","alias_value":"1705.00347v2","created_at":"2026-05-17T23:54:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.00347","created_at":"2026-05-17T23:54:26Z"},{"alias_kind":"pith_short_12","alias_value":"VSMYLXHRINVH","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_16","alias_value":"VSMYLXHRINVHRRKR","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_8","alias_value":"VSMYLXHR","created_at":"2026-05-18T12:31:49Z"}],"graph_snapshots":[{"event_id":"sha256:4c1934fd8ca9284253a2ce2a6244e883aca691119fceb7af92d5058e688737a1","target":"graph","created_at":"2026-05-17T23:54:26Z","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":"Twin Support Vector Machines (TWSVMs) have emerged an efficient alternative to Support Vector Machines (SVM) for learning from imbalanced datasets. The TWSVM learns two non-parallel classifying hyperplanes by solving a couple of smaller sized problems. However, it is unsuitable for large datasets, as it involves matrix operations. In this paper, we discuss a Twin Neural Network (Twin NN) architecture for learning from large unbalanced datasets. The Twin NN also learns an optimal feature map, allowing for better discrimination between classes. We also present an extension of this network archit","authors_text":"Himanshu Pant, Jayadeva, Mayank Sharma, Sumit Soman","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-04-30T17:25:45Z","title":"Scalable Twin Neural Networks for Classification of Unbalanced Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.00347","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:fa5b6ef333e6a44e8f84cd5745b1e5139a53da9d58cd53cd4ca837cd4d0fdb06","target":"record","created_at":"2026-05-17T23:54:26Z","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":"51bba6fbdff1e70a821bc53eb69abc35951b621437509a76508384e41637e568","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-04-30T17:25:45Z","title_canon_sha256":"6f8eeddc32c1ee6030278f39373d65024f501bb2ea96c6043f5dae8d150e7d8f"},"schema_version":"1.0","source":{"id":"1705.00347","kind":"arxiv","version":2}},"canonical_sha256":"ac9985dcf1436a78c55115b196e95913e8e590dfbe8510da31ac95035f33fbe6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac9985dcf1436a78c55115b196e95913e8e590dfbe8510da31ac95035f33fbe6","first_computed_at":"2026-05-17T23:54:26.809670Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:26.809670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FvIWkOFrP9EDqRa1lDaFDBD/4GZ9ZStG9/FeoUUqk4OVC6ps9BkJ9HNBnqGN2ptfs2IcD3OHWGjRYg2sV5Q/Dg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:26.810151Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.00347","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fa5b6ef333e6a44e8f84cd5745b1e5139a53da9d58cd53cd4ca837cd4d0fdb06","sha256:4c1934fd8ca9284253a2ce2a6244e883aca691119fceb7af92d5058e688737a1"],"state_sha256":"af0805e87682f5679128351cc6679fddd9d80d8fc803e883b97d73b60f9effcb"}