{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:PC73KPLCUM7OLEODBDAMRSEANR","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":"e7bec03a150d9cc53184c44949da75d7f62f424bbe35fb97232c799c78292f8c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2021-10-18T01:02:26Z","title_canon_sha256":"4ab8722a2b66e215fa649026e5da936944a3649bdb3ce015123089dbb17251fa"},"schema_version":"1.0","source":{"id":"2110.08959","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.08959","created_at":"2026-07-05T03:24:31Z"},{"alias_kind":"arxiv_version","alias_value":"2110.08959v2","created_at":"2026-07-05T03:24:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.08959","created_at":"2026-07-05T03:24:31Z"},{"alias_kind":"pith_short_12","alias_value":"PC73KPLCUM7O","created_at":"2026-07-05T03:24:31Z"},{"alias_kind":"pith_short_16","alias_value":"PC73KPLCUM7OLEOD","created_at":"2026-07-05T03:24:31Z"},{"alias_kind":"pith_short_8","alias_value":"PC73KPLC","created_at":"2026-07-05T03:24:31Z"}],"graph_snapshots":[{"event_id":"sha256:703bd15d28e392e96c622bf5197da63a2e66d26d9931a02f48187a3277f77845","target":"graph","created_at":"2026-07-05T03:24:31Z","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/2110.08959/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Distance-based outlier detection is widely adopted in many fields, e.g., data mining and machine learning, because it is unsupervised, can be employed in a generic metric space, and does not have any assumptions of data distributions. Data mining and machine learning applications face a challenge of dealing with large datasets, which requires efficient distance-based outlier detection algorithms. Due to the popularization of computational environments with large memory, it is possible to build a main-memory index and detect outliers based on it, which is a promising solution for fast distance-","authors_text":"Daichi Amagata, Makoto Onizuka, Takahiro Hara","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2021-10-18T01:02:26Z","title":"Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.08959","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":"sha256:078384b91422d595957075ae5f2a88b6c3404f9ae8bc5fd1c9a43e15e2f625f2","target":"record","created_at":"2026-07-05T03:24:31Z","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":"e7bec03a150d9cc53184c44949da75d7f62f424bbe35fb97232c799c78292f8c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2021-10-18T01:02:26Z","title_canon_sha256":"4ab8722a2b66e215fa649026e5da936944a3649bdb3ce015123089dbb17251fa"},"schema_version":"1.0","source":{"id":"2110.08959","kind":"arxiv","version":2}},"canonical_sha256":"78bfb53d62a33ee591c308c0c8c8806c779a6a274be374be6eda473597ddc6b3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"78bfb53d62a33ee591c308c0c8c8806c779a6a274be374be6eda473597ddc6b3","first_computed_at":"2026-07-05T03:24:31.938210Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:24:31.938210Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v4P1US2SyRcpUgsyeh8Gr/08kuDhLDu7m2KHAm6ag4k2F84JKjQ1elxU7FSQV14EIiZv53hTmHl4LYlL/W9DBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:24:31.938711Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.08959","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:078384b91422d595957075ae5f2a88b6c3404f9ae8bc5fd1c9a43e15e2f625f2","sha256:703bd15d28e392e96c622bf5197da63a2e66d26d9931a02f48187a3277f77845"],"state_sha256":"a62b3099128184851f7fe0d0059abb240014625bc6b8c9034f56039935ac5e09"}