{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:5NGMNAFRND7VAGSKPL3MQLHNGX","short_pith_number":"pith:5NGMNAFR","canonical_record":{"source":{"id":"1912.07195","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-16T05:09:52Z","cross_cats_sorted":[],"title_canon_sha256":"244c7d89494bf5994177572f46d64e4fdff8c202b3201c095ca65f60007b5e67","abstract_canon_sha256":"87ab95b5a5d8eb2b8ac0dacb312772afda39e0639dcc7e390718dd5b72dcacfe"},"schema_version":"1.0"},"canonical_sha256":"eb4cc680b168ff501a4a7af6c82ced35f619d598bdce4eb67c8b9f73058bb6e2","source":{"kind":"arxiv","id":"1912.07195","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.07195","created_at":"2026-07-05T01:09:56Z"},{"alias_kind":"arxiv_version","alias_value":"1912.07195v3","created_at":"2026-07-05T01:09:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.07195","created_at":"2026-07-05T01:09:56Z"},{"alias_kind":"pith_short_12","alias_value":"5NGMNAFRND7V","created_at":"2026-07-05T01:09:56Z"},{"alias_kind":"pith_short_16","alias_value":"5NGMNAFRND7VAGSK","created_at":"2026-07-05T01:09:56Z"},{"alias_kind":"pith_short_8","alias_value":"5NGMNAFR","created_at":"2026-07-05T01:09:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:5NGMNAFRND7VAGSKPL3MQLHNGX","target":"record","payload":{"canonical_record":{"source":{"id":"1912.07195","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-16T05:09:52Z","cross_cats_sorted":[],"title_canon_sha256":"244c7d89494bf5994177572f46d64e4fdff8c202b3201c095ca65f60007b5e67","abstract_canon_sha256":"87ab95b5a5d8eb2b8ac0dacb312772afda39e0639dcc7e390718dd5b72dcacfe"},"schema_version":"1.0"},"canonical_sha256":"eb4cc680b168ff501a4a7af6c82ced35f619d598bdce4eb67c8b9f73058bb6e2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:09:56.997127Z","signature_b64":"awLEwXCweEIUtbCeDfN9LYxCUqMZ3N60n7aHK/SofAmmAZJjjxp/uBjmCRDK5h49s7MdmQ7thjLW56DUaIxhDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eb4cc680b168ff501a4a7af6c82ced35f619d598bdce4eb67c8b9f73058bb6e2","last_reissued_at":"2026-07-05T01:09:56.996701Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:09:56.996701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1912.07195","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:09:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AHDEzrC20/b1UFVQyDNrtxUMOMXY+EmS8k0ZwWtxmXqqjYTzc7csbt+iIyYnx46V6IVJd25kQs70DsIKJFNaDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T12:47:56.720932Z"},"content_sha256":"54cfe0ed5ff9597c10f771da1fd1f99566a4db052264bf7de5a51e8467c8e696","schema_version":"1.0","event_id":"sha256:54cfe0ed5ff9597c10f771da1fd1f99566a4db052264bf7de5a51e8467c8e696"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:5NGMNAFRND7VAGSKPL3MQLHNGX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fingerprint Synthesis: Search with 100 Million Prints","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anil K. Jain, Joshua J. Engelsma, Vishesh Mistry","submitted_at":"2019-12-16T05:09:52Z","abstract_excerpt":"Evaluation of large-scale fingerprint search algorithms has been limited due to lack of publicly available datasets. To address this problem, we utilize a Generative Adversarial Network (GAN) to synthesize a fingerprint dataset consisting of 100 million fingerprint images. In contrast to existing fingerprint synthesis algorithms, we incorporate an identity loss which guides the generator to synthesize fingerprints corresponding to more distinct identities. The characteristics of our synthesized fingerprints are shown to be more similar to real fingerprints than existing methods via eight diffe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.07195","kind":"arxiv","version":3},"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/1912.07195/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":"2026-07-05T01:09:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pXOyjWBCIGkLhD+YaKGkqiTnwnf8LRSYWPSQ8SCKKctsg327QAMGcZKFkCirJBLq5HN32YX0q3SqWxUysEuXAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T12:47:56.721322Z"},"content_sha256":"6d986a59367834638d6e2c7fc83b9880b761596a58852580ffd10774749ba619","schema_version":"1.0","event_id":"sha256:6d986a59367834638d6e2c7fc83b9880b761596a58852580ffd10774749ba619"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5NGMNAFRND7VAGSKPL3MQLHNGX/bundle.json","state_url":"https://pith.science/pith/5NGMNAFRND7VAGSKPL3MQLHNGX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5NGMNAFRND7VAGSKPL3MQLHNGX/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":"2026-08-06T12:47:56Z","links":{"resolver":"https://pith.science/pith/5NGMNAFRND7VAGSKPL3MQLHNGX","bundle":"https://pith.science/pith/5NGMNAFRND7VAGSKPL3MQLHNGX/bundle.json","state":"https://pith.science/pith/5NGMNAFRND7VAGSKPL3MQLHNGX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5NGMNAFRND7VAGSKPL3MQLHNGX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:5NGMNAFRND7VAGSKPL3MQLHNGX","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":"87ab95b5a5d8eb2b8ac0dacb312772afda39e0639dcc7e390718dd5b72dcacfe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-16T05:09:52Z","title_canon_sha256":"244c7d89494bf5994177572f46d64e4fdff8c202b3201c095ca65f60007b5e67"},"schema_version":"1.0","source":{"id":"1912.07195","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.07195","created_at":"2026-07-05T01:09:56Z"},{"alias_kind":"arxiv_version","alias_value":"1912.07195v3","created_at":"2026-07-05T01:09:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.07195","created_at":"2026-07-05T01:09:56Z"},{"alias_kind":"pith_short_12","alias_value":"5NGMNAFRND7V","created_at":"2026-07-05T01:09:56Z"},{"alias_kind":"pith_short_16","alias_value":"5NGMNAFRND7VAGSK","created_at":"2026-07-05T01:09:56Z"},{"alias_kind":"pith_short_8","alias_value":"5NGMNAFR","created_at":"2026-07-05T01:09:56Z"}],"graph_snapshots":[{"event_id":"sha256:6d986a59367834638d6e2c7fc83b9880b761596a58852580ffd10774749ba619","target":"graph","created_at":"2026-07-05T01:09:56Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1912.07195/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Evaluation of large-scale fingerprint search algorithms has been limited due to lack of publicly available datasets. To address this problem, we utilize a Generative Adversarial Network (GAN) to synthesize a fingerprint dataset consisting of 100 million fingerprint images. In contrast to existing fingerprint synthesis algorithms, we incorporate an identity loss which guides the generator to synthesize fingerprints corresponding to more distinct identities. The characteristics of our synthesized fingerprints are shown to be more similar to real fingerprints than existing methods via eight diffe","authors_text":"Anil K. Jain, Joshua J. Engelsma, Vishesh Mistry","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-16T05:09:52Z","title":"Fingerprint Synthesis: Search with 100 Million Prints"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.07195","kind":"arxiv","version":3},"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":"sha256:54cfe0ed5ff9597c10f771da1fd1f99566a4db052264bf7de5a51e8467c8e696","target":"record","created_at":"2026-07-05T01:09:56Z","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":"87ab95b5a5d8eb2b8ac0dacb312772afda39e0639dcc7e390718dd5b72dcacfe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-16T05:09:52Z","title_canon_sha256":"244c7d89494bf5994177572f46d64e4fdff8c202b3201c095ca65f60007b5e67"},"schema_version":"1.0","source":{"id":"1912.07195","kind":"arxiv","version":3}},"canonical_sha256":"eb4cc680b168ff501a4a7af6c82ced35f619d598bdce4eb67c8b9f73058bb6e2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb4cc680b168ff501a4a7af6c82ced35f619d598bdce4eb67c8b9f73058bb6e2","first_computed_at":"2026-07-05T01:09:56.996701Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:09:56.996701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"awLEwXCweEIUtbCeDfN9LYxCUqMZ3N60n7aHK/SofAmmAZJjjxp/uBjmCRDK5h49s7MdmQ7thjLW56DUaIxhDA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:09:56.997127Z","signed_message":"canonical_sha256_bytes"},"source_id":"1912.07195","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:54cfe0ed5ff9597c10f771da1fd1f99566a4db052264bf7de5a51e8467c8e696","sha256:6d986a59367834638d6e2c7fc83b9880b761596a58852580ffd10774749ba619"],"state_sha256":"9dd1bacc2120b400d44bfa4a0a12766e29e6bba947243f2abb3a35c14418ea0a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OKoiKa+VHFpwQFuO3YLH3lftYSp+MbGrVHlqFJph/LIxJke2KdSoX4aUpt4rL4dSmlK6cjlW9jsmft5QTbpTAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T12:47:56.725118Z","bundle_sha256":"7114b117ec7a5543c562d83c96355758147b127c25bad755ba009162d3890da8"}}