{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:33MY7FXPXCWGSI6ZYTUGQAMDM6","short_pith_number":"pith:33MY7FXP","canonical_record":{"source":{"id":"2303.01465","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-02T18:27:48Z","cross_cats_sorted":[],"title_canon_sha256":"2233a2febe5434fa448509ad8c767cd3862b38d51133c27faf52e099c5ef18eb","abstract_canon_sha256":"3cf05440646f2d08bd3aec88151dde9f2f29dfbd9709e54df425295b468979e7"},"schema_version":"1.0"},"canonical_sha256":"ded98f96efb8ac6923d9c4e8680183679f273887d20fae7b6d19bc2597114f56","source":{"kind":"arxiv","id":"2303.01465","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.01465","created_at":"2026-07-05T05:47:31Z"},{"alias_kind":"arxiv_version","alias_value":"2303.01465v1","created_at":"2026-07-05T05:47:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.01465","created_at":"2026-07-05T05:47:31Z"},{"alias_kind":"pith_short_12","alias_value":"33MY7FXPXCWG","created_at":"2026-07-05T05:47:31Z"},{"alias_kind":"pith_short_16","alias_value":"33MY7FXPXCWGSI6Z","created_at":"2026-07-05T05:47:31Z"},{"alias_kind":"pith_short_8","alias_value":"33MY7FXP","created_at":"2026-07-05T05:47:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:33MY7FXPXCWGSI6ZYTUGQAMDM6","target":"record","payload":{"canonical_record":{"source":{"id":"2303.01465","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-02T18:27:48Z","cross_cats_sorted":[],"title_canon_sha256":"2233a2febe5434fa448509ad8c767cd3862b38d51133c27faf52e099c5ef18eb","abstract_canon_sha256":"3cf05440646f2d08bd3aec88151dde9f2f29dfbd9709e54df425295b468979e7"},"schema_version":"1.0"},"canonical_sha256":"ded98f96efb8ac6923d9c4e8680183679f273887d20fae7b6d19bc2597114f56","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:47:31.246795Z","signature_b64":"QwblJPauVmHQI72ZAvmcuE+wFiHbtN2M57mWOWkwnpD2HMLdUvZ5bFWzNJOBmRQZB4LqiLAwuK69z3pA9aTaCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ded98f96efb8ac6923d9c4e8680183679f273887d20fae7b6d19bc2597114f56","last_reissued_at":"2026-07-05T05:47:31.246309Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:47:31.246309Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.01465","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":"2026-07-05T05:47:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jKIB9YNIbYPa6dvzRX/P7LiDQvBTF+EOUBM/0AFSTHCUF/w5kJqkLzrOolJahYf5aatEXhTeX6yLDMDXomwtCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T13:02:59.615790Z"},"content_sha256":"83e48c433e03a2bf92bb7a8e634ec2fd871abec21f296d83233e229c72869b9a","schema_version":"1.0","event_id":"sha256:83e48c433e03a2bf92bb7a8e634ec2fd871abec21f296d83233e229c72869b9a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:33MY7FXPXCWGSI6ZYTUGQAMDM6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MoSFPAD: An end-to-end Ensemble of MobileNet and Support Vector Classifier for Fingerprint Presentation Attack Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anuj Rai, Pradeep Patidar, Prakhar Rai, Somnath Dey","submitted_at":"2023-03-02T18:27:48Z","abstract_excerpt":"Automatic fingerprint recognition systems are the most extensively used systems for person authentication although they are vulnerable to Presentation attacks. Artificial artifacts created with the help of various materials are used to deceive these systems causing a threat to the security of fingerprint-based applications. This paper proposes a novel end-to-end model to detect fingerprint Presentation attacks. The proposed model incorporates MobileNet as a feature extractor and a Support Vector Classifier as a classifier to detect presentation attacks in cross-material and cross-sensor paradi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.01465","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/2303.01465/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":"2026-07-05T05:47:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u3iWInM48BPTsqoZYCO1RVOfzpvPTLi5bnk8fIZQLCpKUh7Z7XPobplGORm5Bj5gCeUKkES/hnQTZxHdmOnyCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T13:02:59.616169Z"},"content_sha256":"b1239488983c3d2033437f103c4eace09891b73ea1c8b5c4184542a710182e6c","schema_version":"1.0","event_id":"sha256:b1239488983c3d2033437f103c4eace09891b73ea1c8b5c4184542a710182e6c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/33MY7FXPXCWGSI6ZYTUGQAMDM6/bundle.json","state_url":"https://pith.science/pith/33MY7FXPXCWGSI6ZYTUGQAMDM6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/33MY7FXPXCWGSI6ZYTUGQAMDM6/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":"2026-07-13T13:02:59Z","links":{"resolver":"https://pith.science/pith/33MY7FXPXCWGSI6ZYTUGQAMDM6","bundle":"https://pith.science/pith/33MY7FXPXCWGSI6ZYTUGQAMDM6/bundle.json","state":"https://pith.science/pith/33MY7FXPXCWGSI6ZYTUGQAMDM6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/33MY7FXPXCWGSI6ZYTUGQAMDM6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:33MY7FXPXCWGSI6ZYTUGQAMDM6","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":"3cf05440646f2d08bd3aec88151dde9f2f29dfbd9709e54df425295b468979e7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-02T18:27:48Z","title_canon_sha256":"2233a2febe5434fa448509ad8c767cd3862b38d51133c27faf52e099c5ef18eb"},"schema_version":"1.0","source":{"id":"2303.01465","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.01465","created_at":"2026-07-05T05:47:31Z"},{"alias_kind":"arxiv_version","alias_value":"2303.01465v1","created_at":"2026-07-05T05:47:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.01465","created_at":"2026-07-05T05:47:31Z"},{"alias_kind":"pith_short_12","alias_value":"33MY7FXPXCWG","created_at":"2026-07-05T05:47:31Z"},{"alias_kind":"pith_short_16","alias_value":"33MY7FXPXCWGSI6Z","created_at":"2026-07-05T05:47:31Z"},{"alias_kind":"pith_short_8","alias_value":"33MY7FXP","created_at":"2026-07-05T05:47:31Z"}],"graph_snapshots":[{"event_id":"sha256:b1239488983c3d2033437f103c4eace09891b73ea1c8b5c4184542a710182e6c","target":"graph","created_at":"2026-07-05T05:47:31Z","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/2303.01465/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic fingerprint recognition systems are the most extensively used systems for person authentication although they are vulnerable to Presentation attacks. Artificial artifacts created with the help of various materials are used to deceive these systems causing a threat to the security of fingerprint-based applications. This paper proposes a novel end-to-end model to detect fingerprint Presentation attacks. The proposed model incorporates MobileNet as a feature extractor and a Support Vector Classifier as a classifier to detect presentation attacks in cross-material and cross-sensor paradi","authors_text":"Anuj Rai, Pradeep Patidar, Prakhar Rai, Somnath Dey","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-02T18:27:48Z","title":"MoSFPAD: An end-to-end Ensemble of MobileNet and Support Vector Classifier for Fingerprint Presentation Attack Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.01465","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":"sha256:83e48c433e03a2bf92bb7a8e634ec2fd871abec21f296d83233e229c72869b9a","target":"record","created_at":"2026-07-05T05:47:31Z","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":"3cf05440646f2d08bd3aec88151dde9f2f29dfbd9709e54df425295b468979e7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-02T18:27:48Z","title_canon_sha256":"2233a2febe5434fa448509ad8c767cd3862b38d51133c27faf52e099c5ef18eb"},"schema_version":"1.0","source":{"id":"2303.01465","kind":"arxiv","version":1}},"canonical_sha256":"ded98f96efb8ac6923d9c4e8680183679f273887d20fae7b6d19bc2597114f56","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ded98f96efb8ac6923d9c4e8680183679f273887d20fae7b6d19bc2597114f56","first_computed_at":"2026-07-05T05:47:31.246309Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:47:31.246309Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QwblJPauVmHQI72ZAvmcuE+wFiHbtN2M57mWOWkwnpD2HMLdUvZ5bFWzNJOBmRQZB4LqiLAwuK69z3pA9aTaCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:47:31.246795Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.01465","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:83e48c433e03a2bf92bb7a8e634ec2fd871abec21f296d83233e229c72869b9a","sha256:b1239488983c3d2033437f103c4eace09891b73ea1c8b5c4184542a710182e6c"],"state_sha256":"8d3135d8e7ab537e34bb417ea2d40b3249add2a4525e61d9831b67c42b48eede"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xdx5PhOb+zHGdwWC8mzpvsRCFcGhlX218n4qzIclfpkY7IQRhD6D0WbHmuwqnZkCC7Q0oLq69hNbDh+M76NaDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T13:02:59.618286Z","bundle_sha256":"7cbc57a28480473f4bdd10cd46cac0985b02f1e7611f1a8bc9f1bc9a4f1143bf"}}