{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:TIRPBJN34SBCVPLSRIQLCKHZGQ","short_pith_number":"pith:TIRPBJN3","canonical_record":{"source":{"id":"1804.09691","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T17:36:06Z","cross_cats_sorted":[],"title_canon_sha256":"dfa28790e0bd7904df589636f31d9b6ad61ef1be80a1a20316bdf0a8f4504a05","abstract_canon_sha256":"841637f6efc0ea9f67e6e581ad95d5e16a026a8ed20839f7c162f979192a2366"},"schema_version":"1.0"},"canonical_sha256":"9a22f0a5bbe4822abd728a20b128f93400f929e9211d2d7fcdd90a4a533db599","source":{"kind":"arxiv","id":"1804.09691","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.09691","created_at":"2026-05-18T00:06:56Z"},{"alias_kind":"arxiv_version","alias_value":"1804.09691v6","created_at":"2026-05-18T00:06:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.09691","created_at":"2026-05-18T00:06:56Z"},{"alias_kind":"pith_short_12","alias_value":"TIRPBJN34SBC","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"TIRPBJN34SBCVPLS","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"TIRPBJN3","created_at":"2026-05-18T12:32:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:TIRPBJN34SBCVPLSRIQLCKHZGQ","target":"record","payload":{"canonical_record":{"source":{"id":"1804.09691","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T17:36:06Z","cross_cats_sorted":[],"title_canon_sha256":"dfa28790e0bd7904df589636f31d9b6ad61ef1be80a1a20316bdf0a8f4504a05","abstract_canon_sha256":"841637f6efc0ea9f67e6e581ad95d5e16a026a8ed20839f7c162f979192a2366"},"schema_version":"1.0"},"canonical_sha256":"9a22f0a5bbe4822abd728a20b128f93400f929e9211d2d7fcdd90a4a533db599","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:56.042891Z","signature_b64":"luQ8jPZqmN75LQDFTj/lhI0c7OZLwoEsMV+5dFZZEh7I8JHGFhCtbgQh3pRJsrlrOi24UtcR85iVODeWwKbVCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a22f0a5bbe4822abd728a20b128f93400f929e9211d2d7fcdd90a4a533db599","last_reissued_at":"2026-05-18T00:06:56.042284Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:56.042284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.09691","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:06:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QvTPtHcHNiC9u9OUnN87vuGOT4/3cNS2YHC1WCTlcfmOwsvqdgVTHozkZH997qk+t+H6EvbdjXBj4hERtwhJCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T15:44:43.271356Z"},"content_sha256":"41e162e950e7b74b361614d8bb5836570a0afb134fda39afb18a6e571945bc05","schema_version":"1.0","event_id":"sha256:41e162e950e7b74b361614d8bb5836570a0afb134fda39afb18a6e571945bc05"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:TIRPBJN34SBCVPLSRIQLCKHZGQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Surveillance Face Recognition Challenge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Shaogang Gong, Xiatian Zhu, Zhiyi Cheng","submitted_at":"2018-04-25T17:36:06Z","abstract_excerpt":"Face recognition (FR) is one of the most extensively investigated problems in computer vision. Significant progress in FR has been made due to the recent introduction of the larger scale FR challenges, particularly with constrained social media web images, e.g. high-resolution photos of celebrity faces taken by professional photo-journalists. However, the more challenging FR in unconstrained and low-resolution surveillance images remains largely under-studied. To facilitate more studies on developing FR models that are effective and robust for low-resolution surveillance facial images, we intr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.09691","kind":"arxiv","version":6},"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":"2026-05-18T00:06:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Twcj0V2i28C2BdU1rUPKgf7an/QEe3euimQojmSEHAcbAGpzMHXySFPI5knla58BC/ZcXAI+basz8gXG9Yl4Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T15:44:43.271719Z"},"content_sha256":"fde6b480579090c78b9e6bbfa3dda147b40cb7b191af651ed3ab4b98550d2ee7","schema_version":"1.0","event_id":"sha256:fde6b480579090c78b9e6bbfa3dda147b40cb7b191af651ed3ab4b98550d2ee7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TIRPBJN34SBCVPLSRIQLCKHZGQ/bundle.json","state_url":"https://pith.science/pith/TIRPBJN34SBCVPLSRIQLCKHZGQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TIRPBJN34SBCVPLSRIQLCKHZGQ/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":"2026-05-30T15:44:43Z","links":{"resolver":"https://pith.science/pith/TIRPBJN34SBCVPLSRIQLCKHZGQ","bundle":"https://pith.science/pith/TIRPBJN34SBCVPLSRIQLCKHZGQ/bundle.json","state":"https://pith.science/pith/TIRPBJN34SBCVPLSRIQLCKHZGQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TIRPBJN34SBCVPLSRIQLCKHZGQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:TIRPBJN34SBCVPLSRIQLCKHZGQ","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":"841637f6efc0ea9f67e6e581ad95d5e16a026a8ed20839f7c162f979192a2366","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T17:36:06Z","title_canon_sha256":"dfa28790e0bd7904df589636f31d9b6ad61ef1be80a1a20316bdf0a8f4504a05"},"schema_version":"1.0","source":{"id":"1804.09691","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.09691","created_at":"2026-05-18T00:06:56Z"},{"alias_kind":"arxiv_version","alias_value":"1804.09691v6","created_at":"2026-05-18T00:06:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.09691","created_at":"2026-05-18T00:06:56Z"},{"alias_kind":"pith_short_12","alias_value":"TIRPBJN34SBC","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"TIRPBJN34SBCVPLS","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"TIRPBJN3","created_at":"2026-05-18T12:32:53Z"}],"graph_snapshots":[{"event_id":"sha256:fde6b480579090c78b9e6bbfa3dda147b40cb7b191af651ed3ab4b98550d2ee7","target":"graph","created_at":"2026-05-18T00:06:56Z","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 (FR) is one of the most extensively investigated problems in computer vision. Significant progress in FR has been made due to the recent introduction of the larger scale FR challenges, particularly with constrained social media web images, e.g. high-resolution photos of celebrity faces taken by professional photo-journalists. However, the more challenging FR in unconstrained and low-resolution surveillance images remains largely under-studied. To facilitate more studies on developing FR models that are effective and robust for low-resolution surveillance facial images, we intr","authors_text":"Shaogang Gong, Xiatian Zhu, Zhiyi Cheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T17:36:06Z","title":"Surveillance Face Recognition Challenge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.09691","kind":"arxiv","version":6},"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":"sha256:41e162e950e7b74b361614d8bb5836570a0afb134fda39afb18a6e571945bc05","target":"record","created_at":"2026-05-18T00:06:56Z","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":"841637f6efc0ea9f67e6e581ad95d5e16a026a8ed20839f7c162f979192a2366","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T17:36:06Z","title_canon_sha256":"dfa28790e0bd7904df589636f31d9b6ad61ef1be80a1a20316bdf0a8f4504a05"},"schema_version":"1.0","source":{"id":"1804.09691","kind":"arxiv","version":6}},"canonical_sha256":"9a22f0a5bbe4822abd728a20b128f93400f929e9211d2d7fcdd90a4a533db599","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a22f0a5bbe4822abd728a20b128f93400f929e9211d2d7fcdd90a4a533db599","first_computed_at":"2026-05-18T00:06:56.042284Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:56.042284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"luQ8jPZqmN75LQDFTj/lhI0c7OZLwoEsMV+5dFZZEh7I8JHGFhCtbgQh3pRJsrlrOi24UtcR85iVODeWwKbVCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:56.042891Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.09691","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41e162e950e7b74b361614d8bb5836570a0afb134fda39afb18a6e571945bc05","sha256:fde6b480579090c78b9e6bbfa3dda147b40cb7b191af651ed3ab4b98550d2ee7"],"state_sha256":"aa5614768561aeb27da0b279f45c4ffd2421b1603c89140d44aa464899a4b63f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6YdEthK8S7FLqY0QLmEq8DdNe1Glac9tNCgxrr+WJhxkEFqh8B35h65WMIgE9U11IkeZlS6akZVBtHSMAp9IAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T15:44:43.274342Z","bundle_sha256":"98ed20d5fa66e7f5ddb2543706b30da3420af763022fee8df997a205d881693b"}}