{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:LERMWPXXKJIIUP2Y6RFWV7A2CB","short_pith_number":"pith:LERMWPXX","canonical_record":{"source":{"id":"1611.04905","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-15T16:02:58Z","cross_cats_sorted":[],"title_canon_sha256":"de45c83bfd74d92e31c667bfafd6cac4a9f7618368dc6b3849d839bc7ed30e4a","abstract_canon_sha256":"dc1368761f64e1c87f6c8f0a7cec6c2f2e4e6664df0e9aee9b0f7cad0fb65d67"},"schema_version":"1.0"},"canonical_sha256":"5922cb3ef752508a3f58f44b6afc1a105d9cc521367e03468a972e8a5b1f82f8","source":{"kind":"arxiv","id":"1611.04905","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.04905","created_at":"2026-05-18T00:58:49Z"},{"alias_kind":"arxiv_version","alias_value":"1611.04905v1","created_at":"2026-05-18T00:58:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.04905","created_at":"2026-05-18T00:58:49Z"},{"alias_kind":"pith_short_12","alias_value":"LERMWPXXKJII","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_16","alias_value":"LERMWPXXKJIIUP2Y","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_8","alias_value":"LERMWPXX","created_at":"2026-05-18T12:30:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:LERMWPXXKJIIUP2Y6RFWV7A2CB","target":"record","payload":{"canonical_record":{"source":{"id":"1611.04905","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-15T16:02:58Z","cross_cats_sorted":[],"title_canon_sha256":"de45c83bfd74d92e31c667bfafd6cac4a9f7618368dc6b3849d839bc7ed30e4a","abstract_canon_sha256":"dc1368761f64e1c87f6c8f0a7cec6c2f2e4e6664df0e9aee9b0f7cad0fb65d67"},"schema_version":"1.0"},"canonical_sha256":"5922cb3ef752508a3f58f44b6afc1a105d9cc521367e03468a972e8a5b1f82f8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:49.550880Z","signature_b64":"mHf/JeBANuBnscA6tGK19lWhqyE0SZJInW68QjEE50yh5+n6BcdFbcHtplk//QFP5AmNnznJvqR7zLufL8EuAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5922cb3ef752508a3f58f44b6afc1a105d9cc521367e03468a972e8a5b1f82f8","last_reissued_at":"2026-05-18T00:58:49.550412Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:49.550412Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1611.04905","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":"2026-05-18T00:58:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5cBXmdmxuGm3IRD9tpBDSfSQ9dAC+KfwX5OxMCTSB0q0c9vnuypQFaLfpRIwEMYSq+0Z+KKbJzNkt/Zz0465Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T08:04:21.368234Z"},"content_sha256":"7f4c16a02d1f0d97fdbc760b6ad86da9b3ec6664bd5fd99dd8314f46f7de208e","schema_version":"1.0","event_id":"sha256:7f4c16a02d1f0d97fdbc760b6ad86da9b3ec6664bd5fd99dd8314f46f7de208e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:LERMWPXXKJIIUP2Y6RFWV7A2CB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CIFAR-10: KNN-based Ensemble of Classifiers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hager Rady, Mohamed Moustafa, Ola S. Ali, Yehya Abouelnaga","submitted_at":"2016-11-15T16:02:58Z","abstract_excerpt":"In this paper, we study the performance of different classifiers on the CIFAR-10 dataset, and build an ensemble of classifiers to reach a better performance. We show that, on CIFAR-10, K-Nearest Neighbors (KNN) and Convolutional Neural Network (CNN), on some classes, are mutually exclusive, thus yield in higher accuracy when combined. We reduce KNN overfitting using Principal Component Analysis (PCA), and ensemble it with a CNN to increase its accuracy. Our approach improves our best CNN model from 93.33% to 94.03%."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.04905","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":"2026-05-18T00:58:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FiQ6ijfOS1SS9wbgOUgv7ITYlmit03ngIYXcEMs9xTGTfyI9BQx7kGyEqW6oPmzHtoy9G8rVeVeWLqkZeMwWAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T08:04:21.368756Z"},"content_sha256":"873af86042c614873c32b94d0f6dfc9e5dddd5b837631d9464895f5a31f0082d","schema_version":"1.0","event_id":"sha256:873af86042c614873c32b94d0f6dfc9e5dddd5b837631d9464895f5a31f0082d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LERMWPXXKJIIUP2Y6RFWV7A2CB/bundle.json","state_url":"https://pith.science/pith/LERMWPXXKJIIUP2Y6RFWV7A2CB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LERMWPXXKJIIUP2Y6RFWV7A2CB/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":"2026-05-27T08:04:21Z","links":{"resolver":"https://pith.science/pith/LERMWPXXKJIIUP2Y6RFWV7A2CB","bundle":"https://pith.science/pith/LERMWPXXKJIIUP2Y6RFWV7A2CB/bundle.json","state":"https://pith.science/pith/LERMWPXXKJIIUP2Y6RFWV7A2CB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LERMWPXXKJIIUP2Y6RFWV7A2CB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:LERMWPXXKJIIUP2Y6RFWV7A2CB","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":"dc1368761f64e1c87f6c8f0a7cec6c2f2e4e6664df0e9aee9b0f7cad0fb65d67","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-15T16:02:58Z","title_canon_sha256":"de45c83bfd74d92e31c667bfafd6cac4a9f7618368dc6b3849d839bc7ed30e4a"},"schema_version":"1.0","source":{"id":"1611.04905","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.04905","created_at":"2026-05-18T00:58:49Z"},{"alias_kind":"arxiv_version","alias_value":"1611.04905v1","created_at":"2026-05-18T00:58:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.04905","created_at":"2026-05-18T00:58:49Z"},{"alias_kind":"pith_short_12","alias_value":"LERMWPXXKJII","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_16","alias_value":"LERMWPXXKJIIUP2Y","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_8","alias_value":"LERMWPXX","created_at":"2026-05-18T12:30:29Z"}],"graph_snapshots":[{"event_id":"sha256:873af86042c614873c32b94d0f6dfc9e5dddd5b837631d9464895f5a31f0082d","target":"graph","created_at":"2026-05-18T00:58:49Z","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":"In this paper, we study the performance of different classifiers on the CIFAR-10 dataset, and build an ensemble of classifiers to reach a better performance. We show that, on CIFAR-10, K-Nearest Neighbors (KNN) and Convolutional Neural Network (CNN), on some classes, are mutually exclusive, thus yield in higher accuracy when combined. We reduce KNN overfitting using Principal Component Analysis (PCA), and ensemble it with a CNN to increase its accuracy. Our approach improves our best CNN model from 93.33% to 94.03%.","authors_text":"Hager Rady, Mohamed Moustafa, Ola S. Ali, Yehya Abouelnaga","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-15T16:02:58Z","title":"CIFAR-10: KNN-based Ensemble of Classifiers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.04905","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":"sha256:7f4c16a02d1f0d97fdbc760b6ad86da9b3ec6664bd5fd99dd8314f46f7de208e","target":"record","created_at":"2026-05-18T00:58:49Z","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":"dc1368761f64e1c87f6c8f0a7cec6c2f2e4e6664df0e9aee9b0f7cad0fb65d67","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-15T16:02:58Z","title_canon_sha256":"de45c83bfd74d92e31c667bfafd6cac4a9f7618368dc6b3849d839bc7ed30e4a"},"schema_version":"1.0","source":{"id":"1611.04905","kind":"arxiv","version":1}},"canonical_sha256":"5922cb3ef752508a3f58f44b6afc1a105d9cc521367e03468a972e8a5b1f82f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5922cb3ef752508a3f58f44b6afc1a105d9cc521367e03468a972e8a5b1f82f8","first_computed_at":"2026-05-18T00:58:49.550412Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:58:49.550412Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mHf/JeBANuBnscA6tGK19lWhqyE0SZJInW68QjEE50yh5+n6BcdFbcHtplk//QFP5AmNnznJvqR7zLufL8EuAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:58:49.550880Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.04905","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f4c16a02d1f0d97fdbc760b6ad86da9b3ec6664bd5fd99dd8314f46f7de208e","sha256:873af86042c614873c32b94d0f6dfc9e5dddd5b837631d9464895f5a31f0082d"],"state_sha256":"370f18e96b355f3e18fc24fffdfa68e428d127bd0536d2746ed1b6a20661e28b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I5BTkGo2mFGUPBaZvjZF2ERIMpVoLZg0xICMn+zLWkQwBAQFgD1l9ejpAgBOzUBPCpyWCjqAwlBkjUtWsfXMCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T08:04:21.372010Z","bundle_sha256":"187ebf6c6182855e29664f6517b02b822ff53a717a34856f3615c4f058beef5e"}}