{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:ATUZ3D6W663T66WQYITXG236C3","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":"5d2b1d5c92d17cac359a61ee7d9d186285530a19c32bebb76bc746d6fa7e8963","cross_cats_sorted":["cs.CV","cs.NE","stat.ML"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2018-12-07T09:30:18Z","title_canon_sha256":"63b3d252e96b66e0346c237f3d8f813b09f81199f77427ceb9d6db071b95e869"},"schema_version":"1.0","source":{"id":"1812.02956","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.02956","created_at":"2026-05-17T23:57:07Z"},{"alias_kind":"arxiv_version","alias_value":"1812.02956v2","created_at":"2026-05-17T23:57:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.02956","created_at":"2026-05-17T23:57:07Z"},{"alias_kind":"pith_short_12","alias_value":"ATUZ3D6W663T","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"ATUZ3D6W663T66WQ","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"ATUZ3D6W","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:b07e1d413bc61f53008a674b7672fc5481222676496e01629cd16b83b41b49fc","target":"graph","created_at":"2026-05-17T23:57:07Z","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":"Multi-label classification aims to classify instances with discrete non-exclusive labels. Most approaches on multi-label classification focus on effective adaptation or transformation of existing binary and multi-class learning approaches but fail in modelling the joint probability of labels or do not preserve generalization abilities for unseen label combinations. To address these issues we propose a new multi-label classification scheme, LNEMLC - Label Network Embedding for Multi-Label Classification, that embeds the label network and uses it to extend input space in learning and inference o","authors_text":"Nitesh Chawla, Piotr Szyma\\'nski, Tomasz Kajdanowicz","cross_cats":["cs.CV","cs.NE","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2018-12-07T09:30:18Z","title":"LNEMLC: Label Network Embeddings for Multi-Label Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.02956","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:f507b6e3131c03b2b939fe70a29970310fb7f228b0adf2402438476f1056be00","target":"record","created_at":"2026-05-17T23:57:07Z","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":"5d2b1d5c92d17cac359a61ee7d9d186285530a19c32bebb76bc746d6fa7e8963","cross_cats_sorted":["cs.CV","cs.NE","stat.ML"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2018-12-07T09:30:18Z","title_canon_sha256":"63b3d252e96b66e0346c237f3d8f813b09f81199f77427ceb9d6db071b95e869"},"schema_version":"1.0","source":{"id":"1812.02956","kind":"arxiv","version":2}},"canonical_sha256":"04e99d8fd6f7b73f7ad0c227736b7e16f3bab3fee7ddfaf7bc5de10a26b9692b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"04e99d8fd6f7b73f7ad0c227736b7e16f3bab3fee7ddfaf7bc5de10a26b9692b","first_computed_at":"2026-05-17T23:57:07.231622Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:57:07.231622Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VeIpssiYB03+8996bGSqd8u61a4FeDBXy37wOJy6RIHdT8DAWQrzUzpo1THA95HBnCHWbACxYMG4EfkXLD5iBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:57:07.232033Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.02956","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f507b6e3131c03b2b939fe70a29970310fb7f228b0adf2402438476f1056be00","sha256:b07e1d413bc61f53008a674b7672fc5481222676496e01629cd16b83b41b49fc"],"state_sha256":"311950b5208976689d95a114364665d6a2f5ae8603fc4fa4cec025af14733e0d"}