{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:UEFRLSCD56NYU2M2CSTVCEJJIA","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":"be22665945587882af1bfdceca49a116ed45becf89249f1197e70dc006207029","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-03-01T06:11:04Z","title_canon_sha256":"fcc476e0b546b45484d37331193797d864545c97d21f2794a754407400fdda2e"},"schema_version":"1.0","source":{"id":"2003.00415","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.00415","created_at":"2026-07-05T00:44:46Z"},{"alias_kind":"arxiv_version","alias_value":"2003.00415v1","created_at":"2026-07-05T00:44:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.00415","created_at":"2026-07-05T00:44:46Z"},{"alias_kind":"pith_short_12","alias_value":"UEFRLSCD56NY","created_at":"2026-07-05T00:44:46Z"},{"alias_kind":"pith_short_16","alias_value":"UEFRLSCD56NYU2M2","created_at":"2026-07-05T00:44:46Z"},{"alias_kind":"pith_short_8","alias_value":"UEFRLSCD","created_at":"2026-07-05T00:44:46Z"}],"graph_snapshots":[{"event_id":"sha256:56f9cffe3018079c4bf1f41e66133317a00ade5a8bc48f9617704123387d68cd","target":"graph","created_at":"2026-07-05T00:44:46Z","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/2003.00415/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"k-nearest neighbour (kNN) is one of the most prominent, simple and basic algorithm used in machine learning and data mining. However, kNN has limited prediction ability, i.e., kNN cannot predict any instance correctly if it does not belong to any of the predefined classes in the training data set. The purpose of this paper is to suggest an Advanced kNN (A-kNN) algorithm that will be able to classify an instance as unknown, after verifying that it does not belong to any of the predefined classes. Performance of kNN and A-kNN is compared on three different data sets namely iris plant data set, B","authors_text":"Muaaz Zakria, Muhammad Asim","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-03-01T06:11:04Z","title":"Advanced kNN: A Mature Machine Learning Series"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.00415","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:e07855b19e9e0277d2976344ee4720566675c032a9102e2bbbdd06f57ceed272","target":"record","created_at":"2026-07-05T00:44:46Z","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":"be22665945587882af1bfdceca49a116ed45becf89249f1197e70dc006207029","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-03-01T06:11:04Z","title_canon_sha256":"fcc476e0b546b45484d37331193797d864545c97d21f2794a754407400fdda2e"},"schema_version":"1.0","source":{"id":"2003.00415","kind":"arxiv","version":1}},"canonical_sha256":"a10b15c843ef9b8a699a14a7511129402ca9c36ee6c7934377951bd0ebdb9367","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a10b15c843ef9b8a699a14a7511129402ca9c36ee6c7934377951bd0ebdb9367","first_computed_at":"2026-07-05T00:44:46.894050Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:44:46.894050Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"12lzEOnOKYJNPUqGeSStNKHwyQrBiJEGFSz+axfTlqJ3FBWvdpNbS11mCAzvTdzqKXMvgY4KdDLJ3ruREIhZAA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:44:46.894436Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.00415","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e07855b19e9e0277d2976344ee4720566675c032a9102e2bbbdd06f57ceed272","sha256:56f9cffe3018079c4bf1f41e66133317a00ade5a8bc48f9617704123387d68cd"],"state_sha256":"1bfbfc2d949f34829b782c14a2dea8a887d8e97d04013a30750d46940b4e84c7"}