{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:VE7I4GFZPM73X5LHRLZXWRKWKY","short_pith_number":"pith:VE7I4GFZ","canonical_record":{"source":{"id":"1501.04690","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-20T01:15:02Z","cross_cats_sorted":[],"title_canon_sha256":"b530d25b397f16b0661d6b99fccd07fc68dda465d94ecf26b444e8c4bf443a5f","abstract_canon_sha256":"2ecefb655b7fce7331fb91f61e774a23560bfe63a858985ab0c6974d0830b4e7"},"schema_version":"1.0"},"canonical_sha256":"a93e8e18b97b3fbbf5678af37b4556563caf83eb9ebcccb946e4b26e9946b9e2","source":{"kind":"arxiv","id":"1501.04690","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1501.04690","created_at":"2026-05-18T02:29:03Z"},{"alias_kind":"arxiv_version","alias_value":"1501.04690v1","created_at":"2026-05-18T02:29:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1501.04690","created_at":"2026-05-18T02:29:03Z"},{"alias_kind":"pith_short_12","alias_value":"VE7I4GFZPM73","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_16","alias_value":"VE7I4GFZPM73X5LH","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_8","alias_value":"VE7I4GFZ","created_at":"2026-05-18T12:29:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:VE7I4GFZPM73X5LHRLZXWRKWKY","target":"record","payload":{"canonical_record":{"source":{"id":"1501.04690","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-20T01:15:02Z","cross_cats_sorted":[],"title_canon_sha256":"b530d25b397f16b0661d6b99fccd07fc68dda465d94ecf26b444e8c4bf443a5f","abstract_canon_sha256":"2ecefb655b7fce7331fb91f61e774a23560bfe63a858985ab0c6974d0830b4e7"},"schema_version":"1.0"},"canonical_sha256":"a93e8e18b97b3fbbf5678af37b4556563caf83eb9ebcccb946e4b26e9946b9e2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:29:03.084417Z","signature_b64":"WWHvH7Vm6uS5KzXc70mQSQql/ql69ORkf8IpJ6qnqhqEtk6laWtrPZiKKLWj25NDWatwgj645CFBqXxx1rGlCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a93e8e18b97b3fbbf5678af37b4556563caf83eb9ebcccb946e4b26e9946b9e2","last_reissued_at":"2026-05-18T02:29:03.083897Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:29:03.083897Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1501.04690","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":"2026-05-18T02:29:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dUMV2wqBTNOsJUJPUuUC2Tx0fz6QV4mxzxHbto9MrWHrJ573kuQ1aREXd42AAaZk4UFZdN9fbvJ/a/kqjbmPAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T19:33:37.857990Z"},"content_sha256":"31fbb1388972ca0a3475a3e0716db565d1933821cd8280e02a80a843729f348f","schema_version":"1.0","event_id":"sha256:31fbb1388972ca0a3475a3e0716db565d1933821cd8280e02a80a843729f348f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:VE7I4GFZPM73X5LHRLZXWRKWKY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Erjin Zhou, Qi Yin, Zhimin Cao","submitted_at":"2015-01-20T01:15:02Z","abstract_excerpt":"Face recognition performance improves rapidly with the recent deep learning technique developing and underlying large training dataset accumulating. In this paper, we report our observations on how big data impacts the recognition performance. According to these observations, we build our Megvii Face Recognition System, which achieves 99.50% accuracy on the LFW benchmark, outperforming the previous state-of-the-art. Furthermore, we report the performance in a real-world security certification scenario. There still exists a clear gap between machine recognition and human performance. We summari"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1501.04690","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":"2026-05-18T02:29:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xPASC/u2Vufl1F7yWtSGUR9sC07kcLkn2UMAqFmW+fMVAkdbj5ba2BPhdtS5IMt+2gvo0m7X86enbm1cwlyRCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T19:33:37.858693Z"},"content_sha256":"217833016d1bd67b0f01d09c93ef41757abff4ecfb16c27aa32b1034c135f3dc","schema_version":"1.0","event_id":"sha256:217833016d1bd67b0f01d09c93ef41757abff4ecfb16c27aa32b1034c135f3dc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VE7I4GFZPM73X5LHRLZXWRKWKY/bundle.json","state_url":"https://pith.science/pith/VE7I4GFZPM73X5LHRLZXWRKWKY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VE7I4GFZPM73X5LHRLZXWRKWKY/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":"2026-05-25T19:33:37Z","links":{"resolver":"https://pith.science/pith/VE7I4GFZPM73X5LHRLZXWRKWKY","bundle":"https://pith.science/pith/VE7I4GFZPM73X5LHRLZXWRKWKY/bundle.json","state":"https://pith.science/pith/VE7I4GFZPM73X5LHRLZXWRKWKY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VE7I4GFZPM73X5LHRLZXWRKWKY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:VE7I4GFZPM73X5LHRLZXWRKWKY","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":"2ecefb655b7fce7331fb91f61e774a23560bfe63a858985ab0c6974d0830b4e7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-20T01:15:02Z","title_canon_sha256":"b530d25b397f16b0661d6b99fccd07fc68dda465d94ecf26b444e8c4bf443a5f"},"schema_version":"1.0","source":{"id":"1501.04690","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1501.04690","created_at":"2026-05-18T02:29:03Z"},{"alias_kind":"arxiv_version","alias_value":"1501.04690v1","created_at":"2026-05-18T02:29:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1501.04690","created_at":"2026-05-18T02:29:03Z"},{"alias_kind":"pith_short_12","alias_value":"VE7I4GFZPM73","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_16","alias_value":"VE7I4GFZPM73X5LH","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_8","alias_value":"VE7I4GFZ","created_at":"2026-05-18T12:29:44Z"}],"graph_snapshots":[{"event_id":"sha256:217833016d1bd67b0f01d09c93ef41757abff4ecfb16c27aa32b1034c135f3dc","target":"graph","created_at":"2026-05-18T02:29:03Z","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":"Face recognition performance improves rapidly with the recent deep learning technique developing and underlying large training dataset accumulating. In this paper, we report our observations on how big data impacts the recognition performance. According to these observations, we build our Megvii Face Recognition System, which achieves 99.50% accuracy on the LFW benchmark, outperforming the previous state-of-the-art. Furthermore, we report the performance in a real-world security certification scenario. There still exists a clear gap between machine recognition and human performance. We summari","authors_text":"Erjin Zhou, Qi Yin, Zhimin Cao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-20T01:15:02Z","title":"Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1501.04690","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":"sha256:31fbb1388972ca0a3475a3e0716db565d1933821cd8280e02a80a843729f348f","target":"record","created_at":"2026-05-18T02:29:03Z","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":"2ecefb655b7fce7331fb91f61e774a23560bfe63a858985ab0c6974d0830b4e7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-20T01:15:02Z","title_canon_sha256":"b530d25b397f16b0661d6b99fccd07fc68dda465d94ecf26b444e8c4bf443a5f"},"schema_version":"1.0","source":{"id":"1501.04690","kind":"arxiv","version":1}},"canonical_sha256":"a93e8e18b97b3fbbf5678af37b4556563caf83eb9ebcccb946e4b26e9946b9e2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a93e8e18b97b3fbbf5678af37b4556563caf83eb9ebcccb946e4b26e9946b9e2","first_computed_at":"2026-05-18T02:29:03.083897Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:29:03.083897Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WWHvH7Vm6uS5KzXc70mQSQql/ql69ORkf8IpJ6qnqhqEtk6laWtrPZiKKLWj25NDWatwgj645CFBqXxx1rGlCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T02:29:03.084417Z","signed_message":"canonical_sha256_bytes"},"source_id":"1501.04690","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:31fbb1388972ca0a3475a3e0716db565d1933821cd8280e02a80a843729f348f","sha256:217833016d1bd67b0f01d09c93ef41757abff4ecfb16c27aa32b1034c135f3dc"],"state_sha256":"519b40ca6c56b9a0caa0fecbd9d83d4cde4288418a5da7f207204aaaab095c28"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m1t4uFcyQm9ul385FeVV6cySP9ytPRx3+cRtFB1dizhtF/hIS7Z63dAJzvfXIUFkuI0kwA84wx3VqFgiRqzbCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T19:33:37.863347Z","bundle_sha256":"15576349675012fc865954bd03a60df7c54d528e127ec52bd29c76525ce8e059"}}