{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:4OWPS2WYVK5ACTA4743BYG7VBS","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":"3f0fa469c844434ebaa70ec2bd3fa814602869e0b3574362397d5f0cb6bb3341","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-03T00:36:23Z","title_canon_sha256":"db98c43696b0473e4e2c80494cc95def2302ef90c2ecb9858a674512e60772bb"},"schema_version":"1.0","source":{"id":"1901.00563","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.00563","created_at":"2026-05-17T23:57:02Z"},{"alias_kind":"arxiv_version","alias_value":"1901.00563v1","created_at":"2026-05-17T23:57:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.00563","created_at":"2026-05-17T23:57:02Z"},{"alias_kind":"pith_short_12","alias_value":"4OWPS2WYVK5A","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"4OWPS2WYVK5ACTA4","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"4OWPS2WY","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:147dfe2d655828a44d24063237193a300dd6bfaf29d032d1c76efc5e002561ec","target":"graph","created_at":"2026-05-17T23:57:02Z","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":"This paper proposes a novel discriminative regression method, called adaptive locality preserving regression (ALPR) for classification. In particular, ALPR aims to learn a more flexible and discriminative projection that not only preserves the intrinsic structure of data, but also possesses the properties of feature selection and interpretability. To this end, we introduce a target learning technique to adaptively learn a more discriminative and flexible target matrix rather than the pre-defined strict zero-one label matrix for regression. Then a locality preserving constraint regularized by t","authors_text":"Jie Wen, Lunke Fei, Runze Chen, Zheng Zhang, Zhihui Lai, Zuofeng Zhong","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-03T00:36:23Z","title":"Adaptive Locality Preserving Regression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.00563","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":"sha256:431557a6761c6410f1467ba1505cbea02363edcca7781de2fc326881d4bc73c2","target":"record","created_at":"2026-05-17T23:57:02Z","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":"3f0fa469c844434ebaa70ec2bd3fa814602869e0b3574362397d5f0cb6bb3341","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-03T00:36:23Z","title_canon_sha256":"db98c43696b0473e4e2c80494cc95def2302ef90c2ecb9858a674512e60772bb"},"schema_version":"1.0","source":{"id":"1901.00563","kind":"arxiv","version":1}},"canonical_sha256":"e3acf96ad8aaba014c1cff361c1bf50cbe9cbc3c28dc2a9f03a603a56102e1b0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e3acf96ad8aaba014c1cff361c1bf50cbe9cbc3c28dc2a9f03a603a56102e1b0","first_computed_at":"2026-05-17T23:57:02.149930Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:57:02.149930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pDS1PwdAJMQneoGs/y1NOgD8sRfz+f7IZfckodR71tCuHmYOPbdRkctqzyX9qzVxNKRgS+euGkMwqy1oZFAYDQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:57:02.150633Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.00563","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:431557a6761c6410f1467ba1505cbea02363edcca7781de2fc326881d4bc73c2","sha256:147dfe2d655828a44d24063237193a300dd6bfaf29d032d1c76efc5e002561ec"],"state_sha256":"426389294e4597ad9636497df87506e9e13c0106d15dc6bedb9f3f67b021af2e"}