{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:COM654S67GTNK6J2W2N6IETYY4","short_pith_number":"pith:COM654S6","canonical_record":{"source":{"id":"2107.11721","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-25T03:50:47Z","cross_cats_sorted":[],"title_canon_sha256":"f28474f95be19c31a4d7310eb43db6a2b3c848f860c33f0c5e85e1917b8d46fa","abstract_canon_sha256":"a1d2774417bd342b89e58d77a65f357b56011d2f9bde16df70d34f204b8ab438"},"schema_version":"1.0"},"canonical_sha256":"1399eef25ef9a6d5793ab69be41278c718a5e8732d981a33d6295ef98346f79a","source":{"kind":"arxiv","id":"2107.11721","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.11721","created_at":"2026-07-05T03:00:36Z"},{"alias_kind":"arxiv_version","alias_value":"2107.11721v1","created_at":"2026-07-05T03:00:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.11721","created_at":"2026-07-05T03:00:36Z"},{"alias_kind":"pith_short_12","alias_value":"COM654S67GTN","created_at":"2026-07-05T03:00:36Z"},{"alias_kind":"pith_short_16","alias_value":"COM654S67GTNK6J2","created_at":"2026-07-05T03:00:36Z"},{"alias_kind":"pith_short_8","alias_value":"COM654S6","created_at":"2026-07-05T03:00:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:COM654S67GTNK6J2W2N6IETYY4","target":"record","payload":{"canonical_record":{"source":{"id":"2107.11721","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-25T03:50:47Z","cross_cats_sorted":[],"title_canon_sha256":"f28474f95be19c31a4d7310eb43db6a2b3c848f860c33f0c5e85e1917b8d46fa","abstract_canon_sha256":"a1d2774417bd342b89e58d77a65f357b56011d2f9bde16df70d34f204b8ab438"},"schema_version":"1.0"},"canonical_sha256":"1399eef25ef9a6d5793ab69be41278c718a5e8732d981a33d6295ef98346f79a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:00:36.679776Z","signature_b64":"JS2a3488bHq1sxPyu9awxethNJ+e4nH/WFJoq4OHmmxMv4yvMiMQSkMkvkudjpJ2NR8AVr1slM6krLu56w9iBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1399eef25ef9a6d5793ab69be41278c718a5e8732d981a33d6295ef98346f79a","last_reissued_at":"2026-07-05T03:00:36.679365Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:00:36.679365Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.11721","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":"2026-07-05T03:00:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OSVbM+c3jKQ27GZUvRqWwcDt+m2R405zmdb6f7zoFHTP6OQy17T/04QmDP7qJ0QanbCYhJtjygowY28tuN5pBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T13:10:23.296136Z"},"content_sha256":"4733fe622cba72453f6d66fb614bc8582b62aafc490e880091848509ca8ecaf0","schema_version":"1.0","event_id":"sha256:4733fe622cba72453f6d66fb614bc8582b62aafc490e880091848509ca8ecaf0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:COM654S67GTNK6J2W2N6IETYY4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenxu Zhao, Feng Zhou, Qiang Meng, Xiaobo Wang, Xiaqing Xu, Yang Qian, Yunxiao Qin, Zezheng Wang, Zhen Lei","submitted_at":"2021-07-25T03:50:47Z","abstract_excerpt":"Despite the great success achieved by deep learning methods in face recognition, severe performance drops are observed for large pose variations in unconstrained environments (e.g., in cases of surveillance and photo-tagging). To address it, current methods either deploy pose-specific models or frontalize faces by additional modules. Still, they ignore the fact that identity information should be consistent across poses and are not realizing the data imbalance between frontal and profile face images during training. In this paper, we propose an efficient PoseFace framework which utilizes the f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.11721","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2107.11721/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T03:00:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vj/WL50u4hM2w5PKE+wctll63V4NOQXxJlbIgleXnWomQO/VI2aWj83C/hNgP9L8hHeeZ09N/4+5aD0ufnPyCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T13:10:23.296530Z"},"content_sha256":"1b9a62408a7ebb8ae075f87555a2e57d3aa7cb6ac34d639af5e57c190666973b","schema_version":"1.0","event_id":"sha256:1b9a62408a7ebb8ae075f87555a2e57d3aa7cb6ac34d639af5e57c190666973b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/COM654S67GTNK6J2W2N6IETYY4/bundle.json","state_url":"https://pith.science/pith/COM654S67GTNK6J2W2N6IETYY4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/COM654S67GTNK6J2W2N6IETYY4/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":"2026-07-05T13:10:23Z","links":{"resolver":"https://pith.science/pith/COM654S67GTNK6J2W2N6IETYY4","bundle":"https://pith.science/pith/COM654S67GTNK6J2W2N6IETYY4/bundle.json","state":"https://pith.science/pith/COM654S67GTNK6J2W2N6IETYY4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/COM654S67GTNK6J2W2N6IETYY4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:COM654S67GTNK6J2W2N6IETYY4","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":"a1d2774417bd342b89e58d77a65f357b56011d2f9bde16df70d34f204b8ab438","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-25T03:50:47Z","title_canon_sha256":"f28474f95be19c31a4d7310eb43db6a2b3c848f860c33f0c5e85e1917b8d46fa"},"schema_version":"1.0","source":{"id":"2107.11721","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.11721","created_at":"2026-07-05T03:00:36Z"},{"alias_kind":"arxiv_version","alias_value":"2107.11721v1","created_at":"2026-07-05T03:00:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.11721","created_at":"2026-07-05T03:00:36Z"},{"alias_kind":"pith_short_12","alias_value":"COM654S67GTN","created_at":"2026-07-05T03:00:36Z"},{"alias_kind":"pith_short_16","alias_value":"COM654S67GTNK6J2","created_at":"2026-07-05T03:00:36Z"},{"alias_kind":"pith_short_8","alias_value":"COM654S6","created_at":"2026-07-05T03:00:36Z"}],"graph_snapshots":[{"event_id":"sha256:1b9a62408a7ebb8ae075f87555a2e57d3aa7cb6ac34d639af5e57c190666973b","target":"graph","created_at":"2026-07-05T03:00:36Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2107.11721/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the great success achieved by deep learning methods in face recognition, severe performance drops are observed for large pose variations in unconstrained environments (e.g., in cases of surveillance and photo-tagging). To address it, current methods either deploy pose-specific models or frontalize faces by additional modules. Still, they ignore the fact that identity information should be consistent across poses and are not realizing the data imbalance between frontal and profile face images during training. In this paper, we propose an efficient PoseFace framework which utilizes the f","authors_text":"Chenxu Zhao, Feng Zhou, Qiang Meng, Xiaobo Wang, Xiaqing Xu, Yang Qian, Yunxiao Qin, Zezheng Wang, Zhen Lei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-25T03:50:47Z","title":"PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.11721","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":"sha256:4733fe622cba72453f6d66fb614bc8582b62aafc490e880091848509ca8ecaf0","target":"record","created_at":"2026-07-05T03:00:36Z","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":"a1d2774417bd342b89e58d77a65f357b56011d2f9bde16df70d34f204b8ab438","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-25T03:50:47Z","title_canon_sha256":"f28474f95be19c31a4d7310eb43db6a2b3c848f860c33f0c5e85e1917b8d46fa"},"schema_version":"1.0","source":{"id":"2107.11721","kind":"arxiv","version":1}},"canonical_sha256":"1399eef25ef9a6d5793ab69be41278c718a5e8732d981a33d6295ef98346f79a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1399eef25ef9a6d5793ab69be41278c718a5e8732d981a33d6295ef98346f79a","first_computed_at":"2026-07-05T03:00:36.679365Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:00:36.679365Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JS2a3488bHq1sxPyu9awxethNJ+e4nH/WFJoq4OHmmxMv4yvMiMQSkMkvkudjpJ2NR8AVr1slM6krLu56w9iBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:00:36.679776Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.11721","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4733fe622cba72453f6d66fb614bc8582b62aafc490e880091848509ca8ecaf0","sha256:1b9a62408a7ebb8ae075f87555a2e57d3aa7cb6ac34d639af5e57c190666973b"],"state_sha256":"6f86992bc09322488db28464f97c360ef8b9f2a1b1942585898b80379ac0327e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ULfUnPtGVrjFNZB8ncUMINp70ZUsBuBtNec9pZOVfG190cP5OE7Kip4UHQxsGi3IjNM11lHB69zblQPHsrP8Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T13:10:23.298760Z","bundle_sha256":"449020412a3194877603a4161082bcf9cd0d81ecb0586c8a241b533c16bc076c"}}