{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:JPVF7KZ2J3I5J5IPKD5FEC574X","short_pith_number":"pith:JPVF7KZ2","canonical_record":{"source":{"id":"1301.3575","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-01-16T03:52:09Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"7fdf2ca03c69bccd727926680007a9db26b46ab18513bf528575dde0951a0619","abstract_canon_sha256":"35a8c3381f949914fd4ee9b74a43ad65a61126fbafd7eceaf0377d110f8cdd28"},"schema_version":"1.0"},"canonical_sha256":"4bea5fab3a4ed1d4f50f50fa520bbfe5f755a58c40023e1e91696f31a68f5239","source":{"kind":"arxiv","id":"1301.3575","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1301.3575","created_at":"2026-05-18T03:36:17Z"},{"alias_kind":"arxiv_version","alias_value":"1301.3575v1","created_at":"2026-05-18T03:36:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1301.3575","created_at":"2026-05-18T03:36:17Z"},{"alias_kind":"pith_short_12","alias_value":"JPVF7KZ2J3I5","created_at":"2026-05-18T12:27:49Z"},{"alias_kind":"pith_short_16","alias_value":"JPVF7KZ2J3I5J5IP","created_at":"2026-05-18T12:27:49Z"},{"alias_kind":"pith_short_8","alias_value":"JPVF7KZ2","created_at":"2026-05-18T12:27:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:JPVF7KZ2J3I5J5IPKD5FEC574X","target":"record","payload":{"canonical_record":{"source":{"id":"1301.3575","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-01-16T03:52:09Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"7fdf2ca03c69bccd727926680007a9db26b46ab18513bf528575dde0951a0619","abstract_canon_sha256":"35a8c3381f949914fd4ee9b74a43ad65a61126fbafd7eceaf0377d110f8cdd28"},"schema_version":"1.0"},"canonical_sha256":"4bea5fab3a4ed1d4f50f50fa520bbfe5f755a58c40023e1e91696f31a68f5239","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:36:17.426094Z","signature_b64":"70nY0m0xXNgFqIqgxGqwEDuLh/J/3jErBv+xbXejtI3LTVtP8OzX/HQYTjK3/M8pMhBn9NuebFztcPEbH938Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4bea5fab3a4ed1d4f50f50fa520bbfe5f755a58c40023e1e91696f31a68f5239","last_reissued_at":"2026-05-18T03:36:17.425612Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:36:17.425612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1301.3575","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:36:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E8zbclcy/XnujT+MiQCd7YCoOaCy3uP6qupy6T9ldb1USjiJr/QI+TpkMYEvAUNQdjYHCmJj9+LRDYFDsut6Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T06:55:54.043422Z"},"content_sha256":"86c6c4bf6d074d11fcb1c165a2b475cb0fabc23f094497f245a900259c392a54","schema_version":"1.0","event_id":"sha256:86c6c4bf6d074d11fcb1c165a2b475cb0fabc23f094497f245a900259c392a54"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:JPVF7KZ2J3I5J5IPKD5FEC574X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Kernelized Locality-Sensitive Hashing for Semi-Supervised Agglomerative Clustering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"Boyi Xie, Shuheng Zheng","submitted_at":"2013-01-16T03:52:09Z","abstract_excerpt":"Large scale agglomerative clustering is hindered by computational burdens. We propose a novel scheme where exact inter-instance distance calculation is replaced by the Hamming distance between Kernelized Locality-Sensitive Hashing (KLSH) hashed values. This results in a method that drastically decreases computation time. Additionally, we take advantage of certain labeled data points via distance metric learning to achieve a competitive precision and recall comparing to K-Means but in much less computation time."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1301.3575","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:36:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w/ZMvx/et9Y8N9IyxCDRusn3Uh2c6bgTOspeFU+B2PvAkrdGUWIM0NSSM+8kSy6dp2azzEVYTtPwrdrnvPccBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T06:55:54.044300Z"},"content_sha256":"e15334118a6802179a4eb37a6c9525af0c7f2ed0e49424885b3518786348b982","schema_version":"1.0","event_id":"sha256:e15334118a6802179a4eb37a6c9525af0c7f2ed0e49424885b3518786348b982"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JPVF7KZ2J3I5J5IPKD5FEC574X/bundle.json","state_url":"https://pith.science/pith/JPVF7KZ2J3I5J5IPKD5FEC574X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JPVF7KZ2J3I5J5IPKD5FEC574X/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-09T06:55:54Z","links":{"resolver":"https://pith.science/pith/JPVF7KZ2J3I5J5IPKD5FEC574X","bundle":"https://pith.science/pith/JPVF7KZ2J3I5J5IPKD5FEC574X/bundle.json","state":"https://pith.science/pith/JPVF7KZ2J3I5J5IPKD5FEC574X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JPVF7KZ2J3I5J5IPKD5FEC574X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:JPVF7KZ2J3I5J5IPKD5FEC574X","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":"35a8c3381f949914fd4ee9b74a43ad65a61126fbafd7eceaf0377d110f8cdd28","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-01-16T03:52:09Z","title_canon_sha256":"7fdf2ca03c69bccd727926680007a9db26b46ab18513bf528575dde0951a0619"},"schema_version":"1.0","source":{"id":"1301.3575","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1301.3575","created_at":"2026-05-18T03:36:17Z"},{"alias_kind":"arxiv_version","alias_value":"1301.3575v1","created_at":"2026-05-18T03:36:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1301.3575","created_at":"2026-05-18T03:36:17Z"},{"alias_kind":"pith_short_12","alias_value":"JPVF7KZ2J3I5","created_at":"2026-05-18T12:27:49Z"},{"alias_kind":"pith_short_16","alias_value":"JPVF7KZ2J3I5J5IP","created_at":"2026-05-18T12:27:49Z"},{"alias_kind":"pith_short_8","alias_value":"JPVF7KZ2","created_at":"2026-05-18T12:27:49Z"}],"graph_snapshots":[{"event_id":"sha256:e15334118a6802179a4eb37a6c9525af0c7f2ed0e49424885b3518786348b982","target":"graph","created_at":"2026-05-18T03:36:17Z","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":"Large scale agglomerative clustering is hindered by computational burdens. We propose a novel scheme where exact inter-instance distance calculation is replaced by the Hamming distance between Kernelized Locality-Sensitive Hashing (KLSH) hashed values. This results in a method that drastically decreases computation time. Additionally, we take advantage of certain labeled data points via distance metric learning to achieve a competitive precision and recall comparing to K-Means but in much less computation time.","authors_text":"Boyi Xie, Shuheng Zheng","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-01-16T03:52:09Z","title":"Kernelized Locality-Sensitive Hashing for Semi-Supervised Agglomerative Clustering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1301.3575","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":"sha256:86c6c4bf6d074d11fcb1c165a2b475cb0fabc23f094497f245a900259c392a54","target":"record","created_at":"2026-05-18T03:36:17Z","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":"35a8c3381f949914fd4ee9b74a43ad65a61126fbafd7eceaf0377d110f8cdd28","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-01-16T03:52:09Z","title_canon_sha256":"7fdf2ca03c69bccd727926680007a9db26b46ab18513bf528575dde0951a0619"},"schema_version":"1.0","source":{"id":"1301.3575","kind":"arxiv","version":1}},"canonical_sha256":"4bea5fab3a4ed1d4f50f50fa520bbfe5f755a58c40023e1e91696f31a68f5239","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4bea5fab3a4ed1d4f50f50fa520bbfe5f755a58c40023e1e91696f31a68f5239","first_computed_at":"2026-05-18T03:36:17.425612Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:36:17.425612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"70nY0m0xXNgFqIqgxGqwEDuLh/J/3jErBv+xbXejtI3LTVtP8OzX/HQYTjK3/M8pMhBn9NuebFztcPEbH938Bg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:36:17.426094Z","signed_message":"canonical_sha256_bytes"},"source_id":"1301.3575","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:86c6c4bf6d074d11fcb1c165a2b475cb0fabc23f094497f245a900259c392a54","sha256:e15334118a6802179a4eb37a6c9525af0c7f2ed0e49424885b3518786348b982"],"state_sha256":"cc1a46deaed99ea44868b67fec007155d2622111835d1e0fa4dc918f1a68a18c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/7vT3YirS78449N8NXrAdlaCIRSID+zL7I4z8/qQFk8wi7D3XPHVOhA31nFb4WC/sDNzWX5gJB55+Rqv4nD5CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T06:55:54.048215Z","bundle_sha256":"4966698bcaebc6a738c22bc661b40c1ccf08c9a1a0a2790831fafbb8bb9bafd0"}}