{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:GWZLT2IGX6E5YOX2BFK5PXRJMW","short_pith_number":"pith:GWZLT2IG","canonical_record":{"source":{"id":"1704.01925","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-06T16:47:16Z","cross_cats_sorted":[],"title_canon_sha256":"070eec412f2dffd3a2685707f9104450b5a8880438f4cbe0ad9b9db33ec67a96","abstract_canon_sha256":"c7653b0e3a255c3093a7af16116fa809ec76005d377d01a6698e768c56ba8d2f"},"schema_version":"1.0"},"canonical_sha256":"35b2b9e906bf89dc3afa0955d7de29658b50c6936e8663bbc421fd4b45cbf1a9","source":{"kind":"arxiv","id":"1704.01925","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.01925","created_at":"2026-05-18T00:46:54Z"},{"alias_kind":"arxiv_version","alias_value":"1704.01925v1","created_at":"2026-05-18T00:46:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.01925","created_at":"2026-05-18T00:46:54Z"},{"alias_kind":"pith_short_12","alias_value":"GWZLT2IGX6E5","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"GWZLT2IGX6E5YOX2","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"GWZLT2IG","created_at":"2026-05-18T12:31:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:GWZLT2IGX6E5YOX2BFK5PXRJMW","target":"record","payload":{"canonical_record":{"source":{"id":"1704.01925","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-06T16:47:16Z","cross_cats_sorted":[],"title_canon_sha256":"070eec412f2dffd3a2685707f9104450b5a8880438f4cbe0ad9b9db33ec67a96","abstract_canon_sha256":"c7653b0e3a255c3093a7af16116fa809ec76005d377d01a6698e768c56ba8d2f"},"schema_version":"1.0"},"canonical_sha256":"35b2b9e906bf89dc3afa0955d7de29658b50c6936e8663bbc421fd4b45cbf1a9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:54.028953Z","signature_b64":"eIUp2Lb2v3a+VkCD1tNtKU5AlBxmH4ACcmqQBdXppIZW8K+3P0ZIADQEJr+fatrg5C+FtMxMEHWZiQzqbs0wBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"35b2b9e906bf89dc3afa0955d7de29658b50c6936e8663bbc421fd4b45cbf1a9","last_reissued_at":"2026-05-18T00:46:54.028450Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:54.028450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.01925","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":"2026-05-18T00:46:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j/MuekUrZxZfjVxHCfUV1RHL/faXCaN5YmGbw31lhdtqnCRrJOieHUi5lFbOwx5hCnb+bzAoTrLMF4mGjOkrAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T02:33:18.385868Z"},"content_sha256":"fd6d931fb266244a37061079b01999c5626b04a1931426a2c9aaa7cfecde31d3","schema_version":"1.0","event_id":"sha256:fd6d931fb266244a37061079b01999c5626b04a1931426a2c9aaa7cfecde31d3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:GWZLT2IGX6E5YOX2BFK5PXRJMW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automated Latent Fingerprint Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anil K. Jain, Kai Cao","submitted_at":"2017-04-06T16:47:16Z","abstract_excerpt":"Latent fingerprints are one of the most important and widely used evidence in law enforcement and forensic agencies worldwide. Yet, NIST evaluations show that the performance of state-of-the-art latent recognition systems is far from satisfactory. An automated latent fingerprint recognition system with high accuracy is essential to compare latents found at crime scenes to a large collection of reference prints to generate a candidate list of possible mates. In this paper, we propose an automated latent fingerprint recognition algorithm that utilizes Convolutional Neural Networks (ConvNets) for"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.01925","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":"2026-05-18T00:46:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sqjygBHaaahQDCoEm0Tlk4AeAnrIud1VT3Qt9qyT70jsT4K6GY1JuAE1Et6fiDvH0UsepVwCxHbAFh1pn/iFDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T02:33:18.386260Z"},"content_sha256":"990f8a2b852fe38ed72fb04d1712c407478540d1fea03e73a452e8d894709c3e","schema_version":"1.0","event_id":"sha256:990f8a2b852fe38ed72fb04d1712c407478540d1fea03e73a452e8d894709c3e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GWZLT2IGX6E5YOX2BFK5PXRJMW/bundle.json","state_url":"https://pith.science/pith/GWZLT2IGX6E5YOX2BFK5PXRJMW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GWZLT2IGX6E5YOX2BFK5PXRJMW/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":"2026-05-25T02:33:18Z","links":{"resolver":"https://pith.science/pith/GWZLT2IGX6E5YOX2BFK5PXRJMW","bundle":"https://pith.science/pith/GWZLT2IGX6E5YOX2BFK5PXRJMW/bundle.json","state":"https://pith.science/pith/GWZLT2IGX6E5YOX2BFK5PXRJMW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GWZLT2IGX6E5YOX2BFK5PXRJMW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:GWZLT2IGX6E5YOX2BFK5PXRJMW","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":"c7653b0e3a255c3093a7af16116fa809ec76005d377d01a6698e768c56ba8d2f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-06T16:47:16Z","title_canon_sha256":"070eec412f2dffd3a2685707f9104450b5a8880438f4cbe0ad9b9db33ec67a96"},"schema_version":"1.0","source":{"id":"1704.01925","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.01925","created_at":"2026-05-18T00:46:54Z"},{"alias_kind":"arxiv_version","alias_value":"1704.01925v1","created_at":"2026-05-18T00:46:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.01925","created_at":"2026-05-18T00:46:54Z"},{"alias_kind":"pith_short_12","alias_value":"GWZLT2IGX6E5","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"GWZLT2IGX6E5YOX2","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"GWZLT2IG","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:990f8a2b852fe38ed72fb04d1712c407478540d1fea03e73a452e8d894709c3e","target":"graph","created_at":"2026-05-18T00:46:54Z","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":"Latent fingerprints are one of the most important and widely used evidence in law enforcement and forensic agencies worldwide. Yet, NIST evaluations show that the performance of state-of-the-art latent recognition systems is far from satisfactory. An automated latent fingerprint recognition system with high accuracy is essential to compare latents found at crime scenes to a large collection of reference prints to generate a candidate list of possible mates. In this paper, we propose an automated latent fingerprint recognition algorithm that utilizes Convolutional Neural Networks (ConvNets) for","authors_text":"Anil K. Jain, Kai Cao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-06T16:47:16Z","title":"Automated Latent Fingerprint Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.01925","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:fd6d931fb266244a37061079b01999c5626b04a1931426a2c9aaa7cfecde31d3","target":"record","created_at":"2026-05-18T00:46:54Z","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":"c7653b0e3a255c3093a7af16116fa809ec76005d377d01a6698e768c56ba8d2f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-06T16:47:16Z","title_canon_sha256":"070eec412f2dffd3a2685707f9104450b5a8880438f4cbe0ad9b9db33ec67a96"},"schema_version":"1.0","source":{"id":"1704.01925","kind":"arxiv","version":1}},"canonical_sha256":"35b2b9e906bf89dc3afa0955d7de29658b50c6936e8663bbc421fd4b45cbf1a9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35b2b9e906bf89dc3afa0955d7de29658b50c6936e8663bbc421fd4b45cbf1a9","first_computed_at":"2026-05-18T00:46:54.028450Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:46:54.028450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eIUp2Lb2v3a+VkCD1tNtKU5AlBxmH4ACcmqQBdXppIZW8K+3P0ZIADQEJr+fatrg5C+FtMxMEHWZiQzqbs0wBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:46:54.028953Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.01925","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd6d931fb266244a37061079b01999c5626b04a1931426a2c9aaa7cfecde31d3","sha256:990f8a2b852fe38ed72fb04d1712c407478540d1fea03e73a452e8d894709c3e"],"state_sha256":"a433fe8a787d32a414a528a8c139b2b5d2c35a466b3a8fd0e9ee4f8311b2ed88"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qv2JO3Z/CxClyl2YeC0hcXL6Pxa2jU2jjmTTlage4UoAwqStEVLG/4X4NVVEea9CYcVuVauYqVs55GVwPn7DDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T02:33:18.388632Z","bundle_sha256":"a95d049663961dd36a264abd8943c008ffb12bc2f2f42615c2d96dab2f6e4071"}}