{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:EYMFHGAXGVGOMM7EJJ2JGN4NCP","short_pith_number":"pith:EYMFHGAX","canonical_record":{"source":{"id":"1112.0059","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2011-12-01T01:19:08Z","cross_cats_sorted":[],"title_canon_sha256":"2b7a6246480a7039b97aa9c90a8007bed8d6d5174c46bb3cc694510940849b5f","abstract_canon_sha256":"021e09065d3e0b93a6c6862b27d7cf16ba96f1d06c989f1ec75682feb7b79138"},"schema_version":"1.0"},"canonical_sha256":"2618539817354ce633e44a7493378d13f8e5aa6baf773109d80f20d79bcd3376","source":{"kind":"arxiv","id":"1112.0059","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1112.0059","created_at":"2026-05-18T04:07:17Z"},{"alias_kind":"arxiv_version","alias_value":"1112.0059v1","created_at":"2026-05-18T04:07:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1112.0059","created_at":"2026-05-18T04:07:17Z"},{"alias_kind":"pith_short_12","alias_value":"EYMFHGAXGVGO","created_at":"2026-05-18T12:26:28Z"},{"alias_kind":"pith_short_16","alias_value":"EYMFHGAXGVGOMM7E","created_at":"2026-05-18T12:26:28Z"},{"alias_kind":"pith_short_8","alias_value":"EYMFHGAX","created_at":"2026-05-18T12:26:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:EYMFHGAXGVGOMM7EJJ2JGN4NCP","target":"record","payload":{"canonical_record":{"source":{"id":"1112.0059","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2011-12-01T01:19:08Z","cross_cats_sorted":[],"title_canon_sha256":"2b7a6246480a7039b97aa9c90a8007bed8d6d5174c46bb3cc694510940849b5f","abstract_canon_sha256":"021e09065d3e0b93a6c6862b27d7cf16ba96f1d06c989f1ec75682feb7b79138"},"schema_version":"1.0"},"canonical_sha256":"2618539817354ce633e44a7493378d13f8e5aa6baf773109d80f20d79bcd3376","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:07:17.073177Z","signature_b64":"Wjiaq7lpRG+tweH4ZbVCNVYXvn66EbVP8p1zWL0+bx+OOEuU+MO43I2bbtrG90UbplzYp3mhLar3cu2p+lQoCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2618539817354ce633e44a7493378d13f8e5aa6baf773109d80f20d79bcd3376","last_reissued_at":"2026-05-18T04:07:17.072585Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:07:17.072585Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1112.0059","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":"2026-05-18T04:07:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k/dPgAhKxKvCUfZOY0eDUGnkRfGsvLLW1fnzOrHrwUVMBkqXf0Qfyje2v2cJhg8NlPYuY3OMh782DnfOCjE/Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T16:17:53.401031Z"},"content_sha256":"b9ee0368ecbb5e05a9a95c894cf5c3d3d9064c10d0ba81d868b4ed6cfdcee1e7","schema_version":"1.0","event_id":"sha256:b9ee0368ecbb5e05a9a95c894cf5c3d3d9064c10d0ba81d868b4ed6cfdcee1e7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:EYMFHGAXGVGOMM7EJJ2JGN4NCP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Local Naive Bayes Nearest Neighbor for Image Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"David G. Lowe, Sancho McCann","submitted_at":"2011-12-01T01:19:08Z","abstract_excerpt":"We present Local Naive Bayes Nearest Neighbor, an improvement to the NBNN image classification algorithm that increases classification accuracy and improves its ability to scale to large numbers of object classes. The key observation is that only the classes represented in the local neighborhood of a descriptor contribute significantly and reliably to their posterior probability estimates. Instead of maintaining a separate search structure for each class, we merge all of the reference data together into one search structure, allowing quick identification of a descriptor's local neighborhood. W"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1112.0059","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":"2026-05-18T04:07:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N3nFZ0rlWYLdz01QWjbMnrK9X+FgkTkI3FncBDTEsfuQQPIO+VivHIzy42D/WFbTr8mfIa3OjZAZyhrfFCapCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T16:17:53.401400Z"},"content_sha256":"34ba96f0abbbe23e2a6a5c2bba9f445daa0202442ec04765bc1046d1e7efd6ef","schema_version":"1.0","event_id":"sha256:34ba96f0abbbe23e2a6a5c2bba9f445daa0202442ec04765bc1046d1e7efd6ef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EYMFHGAXGVGOMM7EJJ2JGN4NCP/bundle.json","state_url":"https://pith.science/pith/EYMFHGAXGVGOMM7EJJ2JGN4NCP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EYMFHGAXGVGOMM7EJJ2JGN4NCP/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":"2026-06-02T16:17:53Z","links":{"resolver":"https://pith.science/pith/EYMFHGAXGVGOMM7EJJ2JGN4NCP","bundle":"https://pith.science/pith/EYMFHGAXGVGOMM7EJJ2JGN4NCP/bundle.json","state":"https://pith.science/pith/EYMFHGAXGVGOMM7EJJ2JGN4NCP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EYMFHGAXGVGOMM7EJJ2JGN4NCP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:EYMFHGAXGVGOMM7EJJ2JGN4NCP","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":"021e09065d3e0b93a6c6862b27d7cf16ba96f1d06c989f1ec75682feb7b79138","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2011-12-01T01:19:08Z","title_canon_sha256":"2b7a6246480a7039b97aa9c90a8007bed8d6d5174c46bb3cc694510940849b5f"},"schema_version":"1.0","source":{"id":"1112.0059","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1112.0059","created_at":"2026-05-18T04:07:17Z"},{"alias_kind":"arxiv_version","alias_value":"1112.0059v1","created_at":"2026-05-18T04:07:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1112.0059","created_at":"2026-05-18T04:07:17Z"},{"alias_kind":"pith_short_12","alias_value":"EYMFHGAXGVGO","created_at":"2026-05-18T12:26:28Z"},{"alias_kind":"pith_short_16","alias_value":"EYMFHGAXGVGOMM7E","created_at":"2026-05-18T12:26:28Z"},{"alias_kind":"pith_short_8","alias_value":"EYMFHGAX","created_at":"2026-05-18T12:26:28Z"}],"graph_snapshots":[{"event_id":"sha256:34ba96f0abbbe23e2a6a5c2bba9f445daa0202442ec04765bc1046d1e7efd6ef","target":"graph","created_at":"2026-05-18T04:07:17Z","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":"We present Local Naive Bayes Nearest Neighbor, an improvement to the NBNN image classification algorithm that increases classification accuracy and improves its ability to scale to large numbers of object classes. The key observation is that only the classes represented in the local neighborhood of a descriptor contribute significantly and reliably to their posterior probability estimates. Instead of maintaining a separate search structure for each class, we merge all of the reference data together into one search structure, allowing quick identification of a descriptor's local neighborhood. W","authors_text":"David G. Lowe, Sancho McCann","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2011-12-01T01:19:08Z","title":"Local Naive Bayes Nearest Neighbor for Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1112.0059","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:b9ee0368ecbb5e05a9a95c894cf5c3d3d9064c10d0ba81d868b4ed6cfdcee1e7","target":"record","created_at":"2026-05-18T04:07:17Z","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":"021e09065d3e0b93a6c6862b27d7cf16ba96f1d06c989f1ec75682feb7b79138","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2011-12-01T01:19:08Z","title_canon_sha256":"2b7a6246480a7039b97aa9c90a8007bed8d6d5174c46bb3cc694510940849b5f"},"schema_version":"1.0","source":{"id":"1112.0059","kind":"arxiv","version":1}},"canonical_sha256":"2618539817354ce633e44a7493378d13f8e5aa6baf773109d80f20d79bcd3376","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2618539817354ce633e44a7493378d13f8e5aa6baf773109d80f20d79bcd3376","first_computed_at":"2026-05-18T04:07:17.072585Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:07:17.072585Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Wjiaq7lpRG+tweH4ZbVCNVYXvn66EbVP8p1zWL0+bx+OOEuU+MO43I2bbtrG90UbplzYp3mhLar3cu2p+lQoCg==","signature_status":"signed_v1","signed_at":"2026-05-18T04:07:17.073177Z","signed_message":"canonical_sha256_bytes"},"source_id":"1112.0059","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b9ee0368ecbb5e05a9a95c894cf5c3d3d9064c10d0ba81d868b4ed6cfdcee1e7","sha256:34ba96f0abbbe23e2a6a5c2bba9f445daa0202442ec04765bc1046d1e7efd6ef"],"state_sha256":"edc400f3e0f687547250656b671c39cd7848fcea009b0ff55ffbe292864c1da8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MJpFFRy6np5TQwO9E2Bh+GJ0QpoSC8yzYogSKiIw7jU9WtuLlwg31q+AW1FkANbcJ7Y96VhoBchAJ+VKniUqDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T16:17:53.403438Z","bundle_sha256":"493d4e31025eda421c3e8d6a9f89543d2f33ec8e2caf14b1475b823bb587d9b5"}}