{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:VLS46CCD5HTOMM44HVISD43V5N","short_pith_number":"pith:VLS46CCD","canonical_record":{"source":{"id":"1804.10337","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-27T04:26:03Z","cross_cats_sorted":[],"title_canon_sha256":"2aaf2cc53c0a263ec55dbe626e5a0ab2a29f810faa91544afa13d8cb6637d3e6","abstract_canon_sha256":"eb414b2d48679f8e3336406bb950ff98ab4e3deb0471e73257aaf986d47b2a86"},"schema_version":"1.0"},"canonical_sha256":"aae5cf0843e9e6e6339c3d5121f375eb40b1ad6d654e405d16396fb29a406e6c","source":{"kind":"arxiv","id":"1804.10337","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.10337","created_at":"2026-05-18T00:17:21Z"},{"alias_kind":"arxiv_version","alias_value":"1804.10337v1","created_at":"2026-05-18T00:17:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.10337","created_at":"2026-05-18T00:17:21Z"},{"alias_kind":"pith_short_12","alias_value":"VLS46CCD5HTO","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"VLS46CCD5HTOMM44","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"VLS46CCD","created_at":"2026-05-18T12:32:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:VLS46CCD5HTOMM44HVISD43V5N","target":"record","payload":{"canonical_record":{"source":{"id":"1804.10337","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-27T04:26:03Z","cross_cats_sorted":[],"title_canon_sha256":"2aaf2cc53c0a263ec55dbe626e5a0ab2a29f810faa91544afa13d8cb6637d3e6","abstract_canon_sha256":"eb414b2d48679f8e3336406bb950ff98ab4e3deb0471e73257aaf986d47b2a86"},"schema_version":"1.0"},"canonical_sha256":"aae5cf0843e9e6e6339c3d5121f375eb40b1ad6d654e405d16396fb29a406e6c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:17:21.049449Z","signature_b64":"HwFknza/zHseab7ry1dO7/QMOQc0vrpUP17Sm6xhidOSRqaEbjjIPqleDWyS9a5R0KG9WkVqCsLrAnMMpF3SBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aae5cf0843e9e6e6339c3d5121f375eb40b1ad6d654e405d16396fb29a406e6c","last_reissued_at":"2026-05-18T00:17:21.048827Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:17:21.048827Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.10337","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":"2026-05-18T00:17:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ab/R2YyIOA3ne/GbmdEyVq5B58GB+upvI/cfCjhpD7bZ7dM40ZakKVX0XoTk31I+POlETMNzP4AkZ2yf+dKJDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T22:54:19.200993Z"},"content_sha256":"6111bfe82c4396c1555e446017ec9408a55db906a00eecc10bd4d4d5727792c9","schema_version":"1.0","event_id":"sha256:6111bfe82c4396c1555e446017ec9408a55db906a00eecc10bd4d4d5727792c9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:VLS46CCD5HTOMM44HVISD43V5N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Latent Fingerprint Recognition: Role of Texture Template","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":"2018-04-27T04:26:03Z","abstract_excerpt":"We propose a texture template approach, consisting of a set of virtual minutiae, to improve the overall latent fingerprint recognition accuracy. To compensate for the lack of sufficient number of minutiae in poor quality latent prints, we generate a set of virtual minutiae. However, due to a large number of these regularly placed virtual minutiae, texture based template matching has a large computational requirement compared to matching true minutiae templates. To improve both the accuracy and efficiency of the texture template matching, we investigate: i) both original and enhanced fingerprin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.10337","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":"2026-05-18T00:17:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FCvixPw3deEgdKBVc399I6fFQfn5wY7BKBjjhw5ZaW8le3WyMQhIR6rFZaZuoz8zo65MZ4dcDUSggpA9qwPKDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T22:54:19.201674Z"},"content_sha256":"61b79cca8366e47681cff0c404e0051fcf756cdfca160e6a11bece7525c29647","schema_version":"1.0","event_id":"sha256:61b79cca8366e47681cff0c404e0051fcf756cdfca160e6a11bece7525c29647"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VLS46CCD5HTOMM44HVISD43V5N/bundle.json","state_url":"https://pith.science/pith/VLS46CCD5HTOMM44HVISD43V5N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VLS46CCD5HTOMM44HVISD43V5N/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":"2026-05-23T22:54:19Z","links":{"resolver":"https://pith.science/pith/VLS46CCD5HTOMM44HVISD43V5N","bundle":"https://pith.science/pith/VLS46CCD5HTOMM44HVISD43V5N/bundle.json","state":"https://pith.science/pith/VLS46CCD5HTOMM44HVISD43V5N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VLS46CCD5HTOMM44HVISD43V5N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:VLS46CCD5HTOMM44HVISD43V5N","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":"eb414b2d48679f8e3336406bb950ff98ab4e3deb0471e73257aaf986d47b2a86","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-27T04:26:03Z","title_canon_sha256":"2aaf2cc53c0a263ec55dbe626e5a0ab2a29f810faa91544afa13d8cb6637d3e6"},"schema_version":"1.0","source":{"id":"1804.10337","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.10337","created_at":"2026-05-18T00:17:21Z"},{"alias_kind":"arxiv_version","alias_value":"1804.10337v1","created_at":"2026-05-18T00:17:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.10337","created_at":"2026-05-18T00:17:21Z"},{"alias_kind":"pith_short_12","alias_value":"VLS46CCD5HTO","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"VLS46CCD5HTOMM44","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"VLS46CCD","created_at":"2026-05-18T12:32:59Z"}],"graph_snapshots":[{"event_id":"sha256:61b79cca8366e47681cff0c404e0051fcf756cdfca160e6a11bece7525c29647","target":"graph","created_at":"2026-05-18T00:17:21Z","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"},"paper":{"abstract_excerpt":"We propose a texture template approach, consisting of a set of virtual minutiae, to improve the overall latent fingerprint recognition accuracy. To compensate for the lack of sufficient number of minutiae in poor quality latent prints, we generate a set of virtual minutiae. However, due to a large number of these regularly placed virtual minutiae, texture based template matching has a large computational requirement compared to matching true minutiae templates. To improve both the accuracy and efficiency of the texture template matching, we investigate: i) both original and enhanced fingerprin","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":"2018-04-27T04:26:03Z","title":"Latent Fingerprint Recognition: Role of Texture Template"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.10337","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":"sha256:6111bfe82c4396c1555e446017ec9408a55db906a00eecc10bd4d4d5727792c9","target":"record","created_at":"2026-05-18T00:17:21Z","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":"eb414b2d48679f8e3336406bb950ff98ab4e3deb0471e73257aaf986d47b2a86","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-27T04:26:03Z","title_canon_sha256":"2aaf2cc53c0a263ec55dbe626e5a0ab2a29f810faa91544afa13d8cb6637d3e6"},"schema_version":"1.0","source":{"id":"1804.10337","kind":"arxiv","version":1}},"canonical_sha256":"aae5cf0843e9e6e6339c3d5121f375eb40b1ad6d654e405d16396fb29a406e6c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aae5cf0843e9e6e6339c3d5121f375eb40b1ad6d654e405d16396fb29a406e6c","first_computed_at":"2026-05-18T00:17:21.048827Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:17:21.048827Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HwFknza/zHseab7ry1dO7/QMOQc0vrpUP17Sm6xhidOSRqaEbjjIPqleDWyS9a5R0KG9WkVqCsLrAnMMpF3SBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:17:21.049449Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.10337","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6111bfe82c4396c1555e446017ec9408a55db906a00eecc10bd4d4d5727792c9","sha256:61b79cca8366e47681cff0c404e0051fcf756cdfca160e6a11bece7525c29647"],"state_sha256":"6630a1bde4221ac28726fad00eabd90c6a4bad69a4ac09ea4e043ed1862a9a18"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2OHPf/WIjdY0nvHzvNVHEp6KJfNjw+C6T6RrVMiICb//x4mm1AfK8UO2eufNGU/dAfifffOHfHp0swEnUURxAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-23T22:54:19.205236Z","bundle_sha256":"ce1557ee7520f23df6b2d4607ad4740cae9177469fc558b281095dc0a056de85"}}