{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:R5WYEP3AY4WMK5FQIIRDO2E7KC","short_pith_number":"pith:R5WYEP3A","canonical_record":{"source":{"id":"2009.07529","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-16T07:58:01Z","cross_cats_sorted":[],"title_canon_sha256":"4ec498c0f9ac52727ba2fec8beaab5c3ac4fbd6a3e34fddd3de4e9f89d39cee3","abstract_canon_sha256":"c1c0ce59f440ed0c286cbfbde4f1dc9d09d8ee9ac97be5cf7a543698a8caec25"},"schema_version":"1.0"},"canonical_sha256":"8f6d823f60c72cc574b0422237689f508dac58729affd82f3999dde7db6381b1","source":{"kind":"arxiv","id":"2009.07529","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.07529","created_at":"2026-07-05T01:38:21Z"},{"alias_kind":"arxiv_version","alias_value":"2009.07529v2","created_at":"2026-07-05T01:38:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.07529","created_at":"2026-07-05T01:38:21Z"},{"alias_kind":"pith_short_12","alias_value":"R5WYEP3AY4WM","created_at":"2026-07-05T01:38:21Z"},{"alias_kind":"pith_short_16","alias_value":"R5WYEP3AY4WMK5FQ","created_at":"2026-07-05T01:38:21Z"},{"alias_kind":"pith_short_8","alias_value":"R5WYEP3A","created_at":"2026-07-05T01:38:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:R5WYEP3AY4WMK5FQIIRDO2E7KC","target":"record","payload":{"canonical_record":{"source":{"id":"2009.07529","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-16T07:58:01Z","cross_cats_sorted":[],"title_canon_sha256":"4ec498c0f9ac52727ba2fec8beaab5c3ac4fbd6a3e34fddd3de4e9f89d39cee3","abstract_canon_sha256":"c1c0ce59f440ed0c286cbfbde4f1dc9d09d8ee9ac97be5cf7a543698a8caec25"},"schema_version":"1.0"},"canonical_sha256":"8f6d823f60c72cc574b0422237689f508dac58729affd82f3999dde7db6381b1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:38:21.143763Z","signature_b64":"XBJtymCfrxENQ1lHfbqjL76zPjtFZxCXltZEpIBm4aZ+dKCTkk3ve9V+6O2kjlsH9KgERbjmaifM1apwtSXSCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f6d823f60c72cc574b0422237689f508dac58729affd82f3999dde7db6381b1","last_reissued_at":"2026-07-05T01:38:21.143416Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:38:21.143416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.07529","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:38:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KgPdNGwxQFkRWhfV450ACx2lauQgspGofFirOi2041p1U5wQORofTu2o4YyYhJbjYNmEaaIzzGwun6Huka6UCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T21:23:37.483565Z"},"content_sha256":"4396e522dc7ace71d0c49a1b9d4556b8f619c55f967ef5e9896bf4a639cf7056","schema_version":"1.0","event_id":"sha256:4396e522dc7ace71d0c49a1b9d4556b8f619c55f967ef5e9896bf4a639cf7056"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:R5WYEP3AY4WMK5FQIIRDO2E7KC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alex Chichung Kot, Changsheng Chen, Haoliang Li, Rizhao Cai, Shiqi Wang","submitted_at":"2020-09-16T07:58:01Z","abstract_excerpt":"Inspired by the philosophy employed by human beings to determine whether a presented face example is genuine or not, i.e., to glance at the example globally first and then carefully observe the local regions to gain more discriminative information, for the face anti-spoofing problem, we propose a novel framework based on the Convolutional Neural Network (CNN) and the Recurrent Neural Network (RNN). In particular, we model the behavior of exploring face-spoofing-related information from image sub-patches by leveraging deep reinforcement learning. We further introduce a recurrent mechanism to le"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.07529","kind":"arxiv","version":2},"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/2009.07529/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":"2026-07-05T01:38:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tyMrInBewkRXaDyYc2K27W//nbNSs0rkNH7GbFSIY86n74vEe5xQftOj2K35/++1FGtj/wfg8aBjl6daaG6ZCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T21:23:37.484187Z"},"content_sha256":"6bceb628d79f6a6433f157355c644b2c279c6e2d181fe581daefe808553756b8","schema_version":"1.0","event_id":"sha256:6bceb628d79f6a6433f157355c644b2c279c6e2d181fe581daefe808553756b8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R5WYEP3AY4WMK5FQIIRDO2E7KC/bundle.json","state_url":"https://pith.science/pith/R5WYEP3AY4WMK5FQIIRDO2E7KC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R5WYEP3AY4WMK5FQIIRDO2E7KC/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":"2026-08-20T21:23:37Z","links":{"resolver":"https://pith.science/pith/R5WYEP3AY4WMK5FQIIRDO2E7KC","bundle":"https://pith.science/pith/R5WYEP3AY4WMK5FQIIRDO2E7KC/bundle.json","state":"https://pith.science/pith/R5WYEP3AY4WMK5FQIIRDO2E7KC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R5WYEP3AY4WMK5FQIIRDO2E7KC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:R5WYEP3AY4WMK5FQIIRDO2E7KC","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":"c1c0ce59f440ed0c286cbfbde4f1dc9d09d8ee9ac97be5cf7a543698a8caec25","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-16T07:58:01Z","title_canon_sha256":"4ec498c0f9ac52727ba2fec8beaab5c3ac4fbd6a3e34fddd3de4e9f89d39cee3"},"schema_version":"1.0","source":{"id":"2009.07529","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.07529","created_at":"2026-07-05T01:38:21Z"},{"alias_kind":"arxiv_version","alias_value":"2009.07529v2","created_at":"2026-07-05T01:38:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.07529","created_at":"2026-07-05T01:38:21Z"},{"alias_kind":"pith_short_12","alias_value":"R5WYEP3AY4WM","created_at":"2026-07-05T01:38:21Z"},{"alias_kind":"pith_short_16","alias_value":"R5WYEP3AY4WMK5FQ","created_at":"2026-07-05T01:38:21Z"},{"alias_kind":"pith_short_8","alias_value":"R5WYEP3A","created_at":"2026-07-05T01:38:21Z"}],"graph_snapshots":[{"event_id":"sha256:6bceb628d79f6a6433f157355c644b2c279c6e2d181fe581daefe808553756b8","target":"graph","created_at":"2026-07-05T01:38:21Z","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/2009.07529/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Inspired by the philosophy employed by human beings to determine whether a presented face example is genuine or not, i.e., to glance at the example globally first and then carefully observe the local regions to gain more discriminative information, for the face anti-spoofing problem, we propose a novel framework based on the Convolutional Neural Network (CNN) and the Recurrent Neural Network (RNN). In particular, we model the behavior of exploring face-spoofing-related information from image sub-patches by leveraging deep reinforcement learning. We further introduce a recurrent mechanism to le","authors_text":"Alex Chichung Kot, Changsheng Chen, Haoliang Li, Rizhao Cai, Shiqi Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-16T07:58:01Z","title":"DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.07529","kind":"arxiv","version":2},"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":"sha256:4396e522dc7ace71d0c49a1b9d4556b8f619c55f967ef5e9896bf4a639cf7056","target":"record","created_at":"2026-07-05T01:38:21Z","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":"c1c0ce59f440ed0c286cbfbde4f1dc9d09d8ee9ac97be5cf7a543698a8caec25","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-16T07:58:01Z","title_canon_sha256":"4ec498c0f9ac52727ba2fec8beaab5c3ac4fbd6a3e34fddd3de4e9f89d39cee3"},"schema_version":"1.0","source":{"id":"2009.07529","kind":"arxiv","version":2}},"canonical_sha256":"8f6d823f60c72cc574b0422237689f508dac58729affd82f3999dde7db6381b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f6d823f60c72cc574b0422237689f508dac58729affd82f3999dde7db6381b1","first_computed_at":"2026-07-05T01:38:21.143416Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:38:21.143416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XBJtymCfrxENQ1lHfbqjL76zPjtFZxCXltZEpIBm4aZ+dKCTkk3ve9V+6O2kjlsH9KgERbjmaifM1apwtSXSCw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:38:21.143763Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.07529","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4396e522dc7ace71d0c49a1b9d4556b8f619c55f967ef5e9896bf4a639cf7056","sha256:6bceb628d79f6a6433f157355c644b2c279c6e2d181fe581daefe808553756b8"],"state_sha256":"66c3a40e4991ea7006689d8da6b9136157735cdba71654069a5fe35d1bdc9552"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RNjFS1Qw8NBccoxD5l7t91Ag4xRikTlKnAVO9nzQQJfGcKULZlMBChbCx518GbgG1GDFz2ZoHC2PQHWIsT5qBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T21:23:37.487421Z","bundle_sha256":"1abe2ca2b7a1c7a797d08749d1c4ba58063bcf85ffd946cf43500837c32ee5b6"}}