{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BS2LTQQCQIHQSX2RHUY2T642II","short_pith_number":"pith:BS2LTQQC","canonical_record":{"source":{"id":"1907.07270","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-16T21:40:29Z","cross_cats_sorted":[],"title_canon_sha256":"6075b6a3a0c310d84948aa0d02dd3bafb7f6aab0ad5e1ca0edcd6603412efc20","abstract_canon_sha256":"8dcb7c916cbc9d4e79af73166abef1cc573d3d62789f8cfe107bc4841b5da123"},"schema_version":"1.0"},"canonical_sha256":"0cb4b9c202820f095f513d31a9fb9a4221b7f531ff40b9f4bdcdc9ad49edc607","source":{"kind":"arxiv","id":"1907.07270","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.07270","created_at":"2026-05-17T23:40:22Z"},{"alias_kind":"arxiv_version","alias_value":"1907.07270v1","created_at":"2026-05-17T23:40:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.07270","created_at":"2026-05-17T23:40:22Z"},{"alias_kind":"pith_short_12","alias_value":"BS2LTQQCQIHQ","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BS2LTQQCQIHQSX2R","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BS2LTQQC","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BS2LTQQCQIHQSX2RHUY2T642II","target":"record","payload":{"canonical_record":{"source":{"id":"1907.07270","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-16T21:40:29Z","cross_cats_sorted":[],"title_canon_sha256":"6075b6a3a0c310d84948aa0d02dd3bafb7f6aab0ad5e1ca0edcd6603412efc20","abstract_canon_sha256":"8dcb7c916cbc9d4e79af73166abef1cc573d3d62789f8cfe107bc4841b5da123"},"schema_version":"1.0"},"canonical_sha256":"0cb4b9c202820f095f513d31a9fb9a4221b7f531ff40b9f4bdcdc9ad49edc607","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:22.855831Z","signature_b64":"6RLqhWxKgc9H840O+NBHx6b/GSMdJkb/J/NCVjYDQom8Mr5rztRClPfvpEd3qJa3capc/xq2yEoGYuNBiJJlBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0cb4b9c202820f095f513d31a9fb9a4221b7f531ff40b9f4bdcdc9ad49edc607","last_reissued_at":"2026-05-17T23:40:22.855243Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:22.855243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.07270","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":"2026-05-17T23:40:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"34nLpbELLM71nRtipDufFgDHvIxaknjpVx2gauqtd4FjFQ6LL8SCr5vqssktvBUN6Wm8xXf+k9zadP02bmJOCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T17:45:07.083195Z"},"content_sha256":"59e8c63ceb4ad75d782bde162ec9798c0f8b50b5ee638cfcda452a29f3d99f3c","schema_version":"1.0","event_id":"sha256:59e8c63ceb4ad75d782bde162ec9798c0f8b50b5ee638cfcda452a29f3d99f3c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BS2LTQQCQIHQSX2RHUY2T642II","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Style Transfer Applied to Face Liveness Detection with User-Centered Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alceu S. Britto Jr, Alessandro L. Koerich, Israel A. Laurensi R., Luciana T. Menon, Manoel Camillo O. Penna N.","submitted_at":"2019-07-16T21:40:29Z","abstract_excerpt":"This paper proposes a face anti-spoofing user-centered model (FAS-UCM). The major difficulty, in this case, is obtaining fraudulent images from all users to train the models. To overcome this problem, the proposed method is divided in three main parts: generation of new spoof images, based on style transfer and spoof image representation models; training of a Convolutional Neural Network (CNN) for liveness detection; evaluation of the live and spoof testing images for each subject. The generalization of the CNN to perform style transfer has shown promising qualitative results. Preliminary resu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.07270","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":"2026-05-17T23:40:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gwGlBympj5Un5EC57s2MQCSyxDnsDj9Xm/fudeGG5t/2ZdaC/FS9SO3/TLv6bq8mbvDcygzfvZTp8HGFTu6jDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T17:45:07.083919Z"},"content_sha256":"6658ffb895d39cef84e6e69194e40e209e07fa64f073d7862ad49d59299d6750","schema_version":"1.0","event_id":"sha256:6658ffb895d39cef84e6e69194e40e209e07fa64f073d7862ad49d59299d6750"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BS2LTQQCQIHQSX2RHUY2T642II/bundle.json","state_url":"https://pith.science/pith/BS2LTQQCQIHQSX2RHUY2T642II/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BS2LTQQCQIHQSX2RHUY2T642II/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":"2026-05-25T17:45:07Z","links":{"resolver":"https://pith.science/pith/BS2LTQQCQIHQSX2RHUY2T642II","bundle":"https://pith.science/pith/BS2LTQQCQIHQSX2RHUY2T642II/bundle.json","state":"https://pith.science/pith/BS2LTQQCQIHQSX2RHUY2T642II/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BS2LTQQCQIHQSX2RHUY2T642II/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BS2LTQQCQIHQSX2RHUY2T642II","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":"8dcb7c916cbc9d4e79af73166abef1cc573d3d62789f8cfe107bc4841b5da123","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-16T21:40:29Z","title_canon_sha256":"6075b6a3a0c310d84948aa0d02dd3bafb7f6aab0ad5e1ca0edcd6603412efc20"},"schema_version":"1.0","source":{"id":"1907.07270","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.07270","created_at":"2026-05-17T23:40:22Z"},{"alias_kind":"arxiv_version","alias_value":"1907.07270v1","created_at":"2026-05-17T23:40:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.07270","created_at":"2026-05-17T23:40:22Z"},{"alias_kind":"pith_short_12","alias_value":"BS2LTQQCQIHQ","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BS2LTQQCQIHQSX2R","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BS2LTQQC","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:6658ffb895d39cef84e6e69194e40e209e07fa64f073d7862ad49d59299d6750","target":"graph","created_at":"2026-05-17T23:40:22Z","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":"This paper proposes a face anti-spoofing user-centered model (FAS-UCM). The major difficulty, in this case, is obtaining fraudulent images from all users to train the models. To overcome this problem, the proposed method is divided in three main parts: generation of new spoof images, based on style transfer and spoof image representation models; training of a Convolutional Neural Network (CNN) for liveness detection; evaluation of the live and spoof testing images for each subject. The generalization of the CNN to perform style transfer has shown promising qualitative results. Preliminary resu","authors_text":"Alceu S. Britto Jr, Alessandro L. Koerich, Israel A. Laurensi R., Luciana T. Menon, Manoel Camillo O. Penna N.","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-16T21:40:29Z","title":"Style Transfer Applied to Face Liveness Detection with User-Centered Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.07270","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":"sha256:59e8c63ceb4ad75d782bde162ec9798c0f8b50b5ee638cfcda452a29f3d99f3c","target":"record","created_at":"2026-05-17T23:40:22Z","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":"8dcb7c916cbc9d4e79af73166abef1cc573d3d62789f8cfe107bc4841b5da123","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-16T21:40:29Z","title_canon_sha256":"6075b6a3a0c310d84948aa0d02dd3bafb7f6aab0ad5e1ca0edcd6603412efc20"},"schema_version":"1.0","source":{"id":"1907.07270","kind":"arxiv","version":1}},"canonical_sha256":"0cb4b9c202820f095f513d31a9fb9a4221b7f531ff40b9f4bdcdc9ad49edc607","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0cb4b9c202820f095f513d31a9fb9a4221b7f531ff40b9f4bdcdc9ad49edc607","first_computed_at":"2026-05-17T23:40:22.855243Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:40:22.855243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6RLqhWxKgc9H840O+NBHx6b/GSMdJkb/J/NCVjYDQom8Mr5rztRClPfvpEd3qJa3capc/xq2yEoGYuNBiJJlBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:40:22.855831Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.07270","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:59e8c63ceb4ad75d782bde162ec9798c0f8b50b5ee638cfcda452a29f3d99f3c","sha256:6658ffb895d39cef84e6e69194e40e209e07fa64f073d7862ad49d59299d6750"],"state_sha256":"c50f401a348845da16b0faec46f68c93c8a5d9bf70cf96eb131bf70969a94619"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AdHMhMGljRMfkbkdF4p8wHYF3ikdZfUARPblzDnm4p0rsWtXtRJrUyKAd9H6+hDKjkcDhSrM776QPShltu5xCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T17:45:07.087499Z","bundle_sha256":"e90ea3636f5408b95078e547810cfcd072d4474d10f55712977a9ca5b9cdbaee"}}