{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:CD7T3RECLUTDU3DXUPLUGP4J43","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":"9257b75cae7c35a0904444d1bdaee325d95fc9d977ff280d1429b8b7c8a35522","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-07-09T02:29:53Z","title_canon_sha256":"a6ea81681e581d1a4c9a2183128592e1f2235c64bc2e7a9b4c6747c4d0dd02f4"},"schema_version":"1.0","source":{"id":"1607.02559","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.02559","created_at":"2026-05-18T01:11:16Z"},{"alias_kind":"arxiv_version","alias_value":"1607.02559v1","created_at":"2026-05-18T01:11:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.02559","created_at":"2026-05-18T01:11:16Z"},{"alias_kind":"pith_short_12","alias_value":"CD7T3RECLUTD","created_at":"2026-05-18T12:30:09Z"},{"alias_kind":"pith_short_16","alias_value":"CD7T3RECLUTDU3DX","created_at":"2026-05-18T12:30:09Z"},{"alias_kind":"pith_short_8","alias_value":"CD7T3REC","created_at":"2026-05-18T12:30:09Z"}],"graph_snapshots":[{"event_id":"sha256:95d5d3ed94e4ec024c794e71ab297917f2c556f2deab13fff5822851d21b5d48","target":"graph","created_at":"2026-05-18T01:11:16Z","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":"Manifold structure learning is often used to exploit geometric information among data in semi-supervised feature learning algorithms. In this paper, we find that local discriminative information is also of importance for semi-supervised feature learning. We propose a method that utilizes both the manifold structure of data and local discriminant information. Specifically, we define a local clique for each data point. The k-Nearest Neighbors (kNN) is used to determine the structural information within each clique. We then employ a variant of Fisher criterion model to each clique for local discr","authors_text":"Feiping Nie, Lina Yao, Quan Z. Sheng, Sen Wang, Xiaojun Chang, Xue Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-07-09T02:29:53Z","title":"Uncovering Locally Discriminative Structure for Feature Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.02559","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":"sha256:9ca60ccefa073f39199326b54313b53360324f073b4929099bd1a701ab6d93c1","target":"record","created_at":"2026-05-18T01:11:16Z","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":"9257b75cae7c35a0904444d1bdaee325d95fc9d977ff280d1429b8b7c8a35522","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-07-09T02:29:53Z","title_canon_sha256":"a6ea81681e581d1a4c9a2183128592e1f2235c64bc2e7a9b4c6747c4d0dd02f4"},"schema_version":"1.0","source":{"id":"1607.02559","kind":"arxiv","version":1}},"canonical_sha256":"10ff3dc4825d263a6c77a3d7433f89e6ff3ba62a78b3fe164d302813dcfd7279","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10ff3dc4825d263a6c77a3d7433f89e6ff3ba62a78b3fe164d302813dcfd7279","first_computed_at":"2026-05-18T01:11:16.822236Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:11:16.822236Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vNIP0ak/HjPeTiQx1TR45UHna6DAAk9scEddvIaUU/1WIEPuiIykcvzGSR+lFI2BECgbkuwYNzKgu+cXwffVCw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:11:16.822902Z","signed_message":"canonical_sha256_bytes"},"source_id":"1607.02559","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ca60ccefa073f39199326b54313b53360324f073b4929099bd1a701ab6d93c1","sha256:95d5d3ed94e4ec024c794e71ab297917f2c556f2deab13fff5822851d21b5d48"],"state_sha256":"fd9014b0fbcc561b55079aea293ef5cb44e119dc46e88e82ee3c635feb8d521f"}