{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:2DUO3OU7G2T2A2PDTCDV5LHGYQ","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":"3941ee16ec5fc618bf2c54962966bc4a12ace59f9beb257c8ac8448d8ed2d114","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-04-22T05:04:36Z","title_canon_sha256":"706b953430dccd3381bab8a7770588f6e83fb078034ebca1611c3a06d94e83af"},"schema_version":"1.0","source":{"id":"1904.09290","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.09290","created_at":"2026-05-17T23:48:07Z"},{"alias_kind":"arxiv_version","alias_value":"1904.09290v1","created_at":"2026-05-17T23:48:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.09290","created_at":"2026-05-17T23:48:07Z"},{"alias_kind":"pith_short_12","alias_value":"2DUO3OU7G2T2","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"2DUO3OU7G2T2A2PD","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"2DUO3OU7","created_at":"2026-05-18T12:33:07Z"}],"graph_snapshots":[{"event_id":"sha256:ca46e6c62d6aede80fa7ac27de1475be4c09084cbbf0c8cfa8cf3b8cc423d177","target":"graph","created_at":"2026-05-17T23:48:07Z","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 Anti-spoofing gains increased attentions recently in both academic and industrial fields. With the emergence of various CNN based solutions, the multi-modal(RGB, depth and IR) methods based CNN showed better performance than single modal classifiers. However, there is a need for improving the performance and reducing the complexity. Therefore, an extreme light network architecture(FeatherNet A/B) is proposed with a streaming module which fixes the weakness of Global Average Pooling and uses less parameters. Our single FeatherNet trained by depth image only, provides a higher baseline with","authors_text":"Fuhao Zou, Juan Zhao, Kai Li, Michael Fu, Nengli Dai, Peng Zhang, Skarpness Mark, Zhiwen Wu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-04-22T05:04:36Z","title":"FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.09290","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":"sha256:702ce3b481f676ee83e62d1882940ba0f1ab81272edb8e47c42ea53beb54156a","target":"record","created_at":"2026-05-17T23:48:07Z","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":"3941ee16ec5fc618bf2c54962966bc4a12ace59f9beb257c8ac8448d8ed2d114","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-04-22T05:04:36Z","title_canon_sha256":"706b953430dccd3381bab8a7770588f6e83fb078034ebca1611c3a06d94e83af"},"schema_version":"1.0","source":{"id":"1904.09290","kind":"arxiv","version":1}},"canonical_sha256":"d0e8edba9f36a7a069e398875eace6c4317c3e752a042fa2140655cee09dd389","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d0e8edba9f36a7a069e398875eace6c4317c3e752a042fa2140655cee09dd389","first_computed_at":"2026-05-17T23:48:07.452077Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:07.452077Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"njoAgHf8mCUlzy7NHqAw+TtGPzlR5gLPp5BHmS80ZADxCWx+xxqd1Ez+4OXdIC7B3o2po4UOz/A3fpzFy7mlCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:07.452525Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.09290","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:702ce3b481f676ee83e62d1882940ba0f1ab81272edb8e47c42ea53beb54156a","sha256:ca46e6c62d6aede80fa7ac27de1475be4c09084cbbf0c8cfa8cf3b8cc423d177"],"state_sha256":"2fe6ccde65de8fa311f318c0f9e8f0d3f4c746576b92affd25d564d1dc9bd19b"}