{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:CFEXDO7IEIL2XJJPGTYJHJRBOK","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":"837c4ba8004307a8e87ec373728a2fc869c5f383737b093b9d698fa07be512da","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-05T10:11:53Z","title_canon_sha256":"0bce908d12e64ffea810c13f1a90dfdb1bbbbf0e7b528aab33248c2ce4cb5248"},"schema_version":"1.0","source":{"id":"1801.01687","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.01687","created_at":"2026-05-18T00:26:41Z"},{"alias_kind":"arxiv_version","alias_value":"1801.01687v1","created_at":"2026-05-18T00:26:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.01687","created_at":"2026-05-18T00:26:41Z"},{"alias_kind":"pith_short_12","alias_value":"CFEXDO7IEIL2","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"CFEXDO7IEIL2XJJP","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"CFEXDO7I","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:580d6bd672fabd9ba6c0e1613c460b4c2218b07e803a52de688d1c8c2371aa8c","target":"graph","created_at":"2026-05-18T00:26:41Z","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":"Massive classification, a classification task defined over a vast number of classes (hundreds of thousands or even millions), has become an essential part of many real-world systems, such as face recognition. Existing methods, including the deep networks that achieved remarkable success in recent years, were mostly devised for problems with a moderate number of classes. They would meet with substantial difficulties, e.g. excessive memory demand and computational cost, when applied to massive problems. We present a new method to tackle this problem. This method can efficiently and accurately id","authors_text":"Dahua Lin, Junjie Yan, Lei Yang, Xingcheng Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-05T10:11:53Z","title":"Accelerated Training for Massive Classification via Dynamic Class Selection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.01687","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":"sha256:9358ff03c50b414909ce42bbde4f47ae23481d289177a873639e27f0a505922f","target":"record","created_at":"2026-05-18T00:26:41Z","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":"837c4ba8004307a8e87ec373728a2fc869c5f383737b093b9d698fa07be512da","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-05T10:11:53Z","title_canon_sha256":"0bce908d12e64ffea810c13f1a90dfdb1bbbbf0e7b528aab33248c2ce4cb5248"},"schema_version":"1.0","source":{"id":"1801.01687","kind":"arxiv","version":1}},"canonical_sha256":"114971bbe82217aba52f34f093a62172848241ab5513c620f70a83941d506608","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"114971bbe82217aba52f34f093a62172848241ab5513c620f70a83941d506608","first_computed_at":"2026-05-18T00:26:41.385596Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:26:41.385596Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cXmuGtI8wzRk61kw/GKWW6lX2C83eGvZGfJtedEon6S3I3Vrr05yJGLfRfEUiTI1AmP8F7VQ3RGP8NigMXUuBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:26:41.386135Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.01687","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9358ff03c50b414909ce42bbde4f47ae23481d289177a873639e27f0a505922f","sha256:580d6bd672fabd9ba6c0e1613c460b4c2218b07e803a52de688d1c8c2371aa8c"],"state_sha256":"b9dc5f542da8c4df93142bde249d2092a60418eeb58fc7453b1c9df1221c3967"}