{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:V5RIZGUYTOLFPMZZGAY7MLJTHG","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":"f9b4009abc7b0c3e20917a0908523a4f96e683b7ec2dd34a9643b244aa67d61c","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-14T14:03:47Z","title_canon_sha256":"b1b9f3163be72fe4d00637fa6ada8302429cccbca0a2c8554b18251b10b5857d"},"schema_version":"1.0","source":{"id":"1808.04699","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.04699","created_at":"2026-05-18T00:08:11Z"},{"alias_kind":"arxiv_version","alias_value":"1808.04699v1","created_at":"2026-05-18T00:08:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.04699","created_at":"2026-05-18T00:08:11Z"},{"alias_kind":"pith_short_12","alias_value":"V5RIZGUYTOLF","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"V5RIZGUYTOLFPMZZ","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"V5RIZGUY","created_at":"2026-05-18T12:32:59Z"}],"graph_snapshots":[{"event_id":"sha256:606bf40391d5d88162353c9df3a42ef9c9d84e3b05d8ebca7ff4486b4baca4db","target":"graph","created_at":"2026-05-18T00:08:11Z","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":"Current major approaches to visual recognition follow an end-to-end formulation that classifies an input image into one of the pre-determined set of semantic categories. Parametric softmax classifiers are a common choice for such a closed world with fixed categories, especially when big labeled data is available during training. However, this becomes problematic for open-set scenarios where new categories are encountered with very few examples for learning a generalizable parametric classifier. We adopt a non-parametric approach for visual recognition by optimizing feature embeddings instead o","authors_text":"Alexei A. Efros, Stella X. Yu, Zhirong Wu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-14T14:03:47Z","title":"Improving Generalization via Scalable Neighborhood Component Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.04699","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:f594070973f3544f43bb2fb41d6b3e5c643926cda12a6073448a41df6c2e8032","target":"record","created_at":"2026-05-18T00:08:11Z","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":"f9b4009abc7b0c3e20917a0908523a4f96e683b7ec2dd34a9643b244aa67d61c","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-14T14:03:47Z","title_canon_sha256":"b1b9f3163be72fe4d00637fa6ada8302429cccbca0a2c8554b18251b10b5857d"},"schema_version":"1.0","source":{"id":"1808.04699","kind":"arxiv","version":1}},"canonical_sha256":"af628c9a989b9657b3393031f62d3339939bda122902b5b8b38a3665767b1e0a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"af628c9a989b9657b3393031f62d3339939bda122902b5b8b38a3665767b1e0a","first_computed_at":"2026-05-18T00:08:11.883551Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:08:11.883551Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CO57XcQ1cFJ795klCCe3HD5sy7PbcQdEo2IQMdZzQ8UtHgsHn3yPtViJmv9wiQFWrmiLKif3mXjwCrIRbsXKDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:08:11.884084Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.04699","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f594070973f3544f43bb2fb41d6b3e5c643926cda12a6073448a41df6c2e8032","sha256:606bf40391d5d88162353c9df3a42ef9c9d84e3b05d8ebca7ff4486b4baca4db"],"state_sha256":"1b1f307ed113392823a50ee4b4f404a91939ce0bf3ab6612980cbdc598a9fd4c"}