{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:W37FBVHHM2JZRYDSAVJDZNS2XE","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":"99ab94fcf1433439875f7c36c182cdd86ad3590db356953f13a7a3ea8a7d7ea1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DS","submitted_at":"2026-06-01T18:18:29Z","title_canon_sha256":"5ea62146080e6c52614b3d72a13e1761836923a80e5a7c7403499d7a65e18dc8"},"schema_version":"1.0","source":{"id":"2606.02752","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.02752","created_at":"2026-06-03T00:05:08Z"},{"alias_kind":"arxiv_version","alias_value":"2606.02752v1","created_at":"2026-06-03T00:05:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.02752","created_at":"2026-06-03T00:05:08Z"},{"alias_kind":"pith_short_12","alias_value":"W37FBVHHM2JZ","created_at":"2026-06-03T00:05:08Z"},{"alias_kind":"pith_short_16","alias_value":"W37FBVHHM2JZRYDS","created_at":"2026-06-03T00:05:08Z"},{"alias_kind":"pith_short_8","alias_value":"W37FBVHH","created_at":"2026-06-03T00:05:08Z"}],"graph_snapshots":[{"event_id":"sha256:9eb7ab2df587838cf8b45694152e1b29f45e9c9c9282af26927262c9334550d8","target":"graph","created_at":"2026-06-03T00:05:08Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.02752/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The k-Nearest Neighbors (kNN) algorithm has long been widely used in Machine Learning (ML) applications. However, the main concern when using it is the computational cost required for neighborhood search, which can make it unfeasible for large-scale applications. Optimization algorithms, such as the K-d tree, become an option in such scenarios. Under data streams, it can be challenging to maintain the properties of the K-d tree, as it requires inserting and deleting nodes on the fly. These operations can make maintaining the tree's balance and invariants difficult. Additionally, traditional K-","authors_text":"Eduardo V. L. Barboza, Rafael M. O. Cruz, Robert Sabourin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DS","submitted_at":"2026-06-01T18:18:29Z","title":"Online K-d tree for approximate neighborhood search in data streams"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.02752","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":"sha256:6c652abd8d30d74e93c8be85dc1c65873776cf27836c022fb30c291a59fbf403","target":"record","created_at":"2026-06-03T00:05:08Z","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":"99ab94fcf1433439875f7c36c182cdd86ad3590db356953f13a7a3ea8a7d7ea1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DS","submitted_at":"2026-06-01T18:18:29Z","title_canon_sha256":"5ea62146080e6c52614b3d72a13e1761836923a80e5a7c7403499d7a65e18dc8"},"schema_version":"1.0","source":{"id":"2606.02752","kind":"arxiv","version":1}},"canonical_sha256":"b6fe50d4e7669398e07205523cb65ab91f207d173d4cc5aaa2709fea0df81653","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b6fe50d4e7669398e07205523cb65ab91f207d173d4cc5aaa2709fea0df81653","first_computed_at":"2026-06-03T00:05:08.942871Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-03T00:05:08.942871Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UA0ZT1bqqlFdTYR02lV3kPGUUdon/ubfF1ln8QHSjmwvZhHJC1F5jQh7yODSo0RCDoFZ2y6mxYSzrZaKGjRcAg==","signature_status":"signed_v1","signed_at":"2026-06-03T00:05:08.943267Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.02752","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c652abd8d30d74e93c8be85dc1c65873776cf27836c022fb30c291a59fbf403","sha256:9eb7ab2df587838cf8b45694152e1b29f45e9c9c9282af26927262c9334550d8"],"state_sha256":"1b891d471d1c476c43e341d041ca5cf89a45618f856d046004f8d2a21bd8f4c3"}