{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:3CVIKWVH2CD5WCM5BB2BKSTMYT","short_pith_number":"pith:3CVIKWVH","canonical_record":{"source":{"id":"1808.00035","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-31T19:20:49Z","cross_cats_sorted":[],"title_canon_sha256":"a210099aede5edaafc6b6acafc12afe6d8018e79d40ac8731db8ac31181ffdae","abstract_canon_sha256":"7c5fa21f93f1e9411f1f9781b14fb22610f6542e6ea0d41f26703e246e22d476"},"schema_version":"1.0"},"canonical_sha256":"d8aa855aa7d087db099d0874154a6cc4c7c58ba2ba21992ad32310c43167958c","source":{"kind":"arxiv","id":"1808.00035","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.00035","created_at":"2026-05-18T00:09:08Z"},{"alias_kind":"arxiv_version","alias_value":"1808.00035v1","created_at":"2026-05-18T00:09:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.00035","created_at":"2026-05-18T00:09:08Z"},{"alias_kind":"pith_short_12","alias_value":"3CVIKWVH2CD5","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"3CVIKWVH2CD5WCM5","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"3CVIKWVH","created_at":"2026-05-18T12:32:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:3CVIKWVH2CD5WCM5BB2BKSTMYT","target":"record","payload":{"canonical_record":{"source":{"id":"1808.00035","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-31T19:20:49Z","cross_cats_sorted":[],"title_canon_sha256":"a210099aede5edaafc6b6acafc12afe6d8018e79d40ac8731db8ac31181ffdae","abstract_canon_sha256":"7c5fa21f93f1e9411f1f9781b14fb22610f6542e6ea0d41f26703e246e22d476"},"schema_version":"1.0"},"canonical_sha256":"d8aa855aa7d087db099d0874154a6cc4c7c58ba2ba21992ad32310c43167958c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:09:08.957894Z","signature_b64":"FftUudkS3QKCSv0l3u3TDQcaxxdS0OaTTsZiIipHLQDVYo0Kr7mlm4SEOrfcIXdM5AnJFI9qp0yBRwso20cbDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d8aa855aa7d087db099d0874154a6cc4c7c58ba2ba21992ad32310c43167958c","last_reissued_at":"2026-05-18T00:09:08.957449Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:09:08.957449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.00035","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":"2026-05-18T00:09:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7c77fr7yBswvc3OkCS1Bn4iJSDJLORZphm3mzSADPEvv7toBWxUc82T5j3MnUGWU3C/t33Ohck3MBlvJXt2gBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T22:17:38.390084Z"},"content_sha256":"3d5dd2605ed6d3b8e8123b35d20af9991bd5e62929cea711fa731ccf28c619f7","schema_version":"1.0","event_id":"sha256:3d5dd2605ed6d3b8e8123b35d20af9991bd5e62929cea711fa731ccf28c619f7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:3CVIKWVH2CD5WCM5BB2BKSTMYT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ID Preserving Generative Adversarial Network for Partial Latent Fingerprint Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ali Dabouei, Hadi Kazemi, Jeremy Dawson, Nasser M. Nasrabadi, Seyed Mehdi Iranmanesh, Sobhan Soleymani","submitted_at":"2018-07-31T19:20:49Z","abstract_excerpt":"Performing recognition tasks using latent fingerprint samples is often challenging for automated identification systems due to poor quality, distortion, and partially missing information from the input samples. We propose a direct latent fingerprint reconstruction model based on conditional generative adversarial networks (cGANs). Two modifications are applied to the cGAN to adapt it for the task of latent fingerprint reconstruction. First, the model is forced to generate three additional maps to the ridge map to ensure that the orientation and frequency information is considered in the genera"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.00035","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":"2026-05-18T00:09:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V1aX4Ohz7/wYh7JbAOtU1T3UBOukCxfxnIgE6Te/vp95+IIJP2JRdLQhDsJbXPG18wOB622RAvuF8UAGLDwLAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T22:17:38.390442Z"},"content_sha256":"ce5392edcfcd52ef9526d7a5c61af195683a322a3224cd2ba65bde0577997567","schema_version":"1.0","event_id":"sha256:ce5392edcfcd52ef9526d7a5c61af195683a322a3224cd2ba65bde0577997567"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3CVIKWVH2CD5WCM5BB2BKSTMYT/bundle.json","state_url":"https://pith.science/pith/3CVIKWVH2CD5WCM5BB2BKSTMYT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3CVIKWVH2CD5WCM5BB2BKSTMYT/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":"2026-06-02T22:17:38Z","links":{"resolver":"https://pith.science/pith/3CVIKWVH2CD5WCM5BB2BKSTMYT","bundle":"https://pith.science/pith/3CVIKWVH2CD5WCM5BB2BKSTMYT/bundle.json","state":"https://pith.science/pith/3CVIKWVH2CD5WCM5BB2BKSTMYT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3CVIKWVH2CD5WCM5BB2BKSTMYT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:3CVIKWVH2CD5WCM5BB2BKSTMYT","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":"7c5fa21f93f1e9411f1f9781b14fb22610f6542e6ea0d41f26703e246e22d476","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-31T19:20:49Z","title_canon_sha256":"a210099aede5edaafc6b6acafc12afe6d8018e79d40ac8731db8ac31181ffdae"},"schema_version":"1.0","source":{"id":"1808.00035","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.00035","created_at":"2026-05-18T00:09:08Z"},{"alias_kind":"arxiv_version","alias_value":"1808.00035v1","created_at":"2026-05-18T00:09:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.00035","created_at":"2026-05-18T00:09:08Z"},{"alias_kind":"pith_short_12","alias_value":"3CVIKWVH2CD5","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"3CVIKWVH2CD5WCM5","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"3CVIKWVH","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:ce5392edcfcd52ef9526d7a5c61af195683a322a3224cd2ba65bde0577997567","target":"graph","created_at":"2026-05-18T00:09:08Z","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":"Performing recognition tasks using latent fingerprint samples is often challenging for automated identification systems due to poor quality, distortion, and partially missing information from the input samples. We propose a direct latent fingerprint reconstruction model based on conditional generative adversarial networks (cGANs). Two modifications are applied to the cGAN to adapt it for the task of latent fingerprint reconstruction. First, the model is forced to generate three additional maps to the ridge map to ensure that the orientation and frequency information is considered in the genera","authors_text":"Ali Dabouei, Hadi Kazemi, Jeremy Dawson, Nasser M. Nasrabadi, Seyed Mehdi Iranmanesh, Sobhan Soleymani","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-31T19:20:49Z","title":"ID Preserving Generative Adversarial Network for Partial Latent Fingerprint Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.00035","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":"sha256:3d5dd2605ed6d3b8e8123b35d20af9991bd5e62929cea711fa731ccf28c619f7","target":"record","created_at":"2026-05-18T00:09:08Z","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":"7c5fa21f93f1e9411f1f9781b14fb22610f6542e6ea0d41f26703e246e22d476","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-31T19:20:49Z","title_canon_sha256":"a210099aede5edaafc6b6acafc12afe6d8018e79d40ac8731db8ac31181ffdae"},"schema_version":"1.0","source":{"id":"1808.00035","kind":"arxiv","version":1}},"canonical_sha256":"d8aa855aa7d087db099d0874154a6cc4c7c58ba2ba21992ad32310c43167958c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d8aa855aa7d087db099d0874154a6cc4c7c58ba2ba21992ad32310c43167958c","first_computed_at":"2026-05-18T00:09:08.957449Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:09:08.957449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FftUudkS3QKCSv0l3u3TDQcaxxdS0OaTTsZiIipHLQDVYo0Kr7mlm4SEOrfcIXdM5AnJFI9qp0yBRwso20cbDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:09:08.957894Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.00035","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3d5dd2605ed6d3b8e8123b35d20af9991bd5e62929cea711fa731ccf28c619f7","sha256:ce5392edcfcd52ef9526d7a5c61af195683a322a3224cd2ba65bde0577997567"],"state_sha256":"7698760665b0bf7785932c4db5c79899d6a354c1c1e162639dc0a741a94a9061"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZMAscSWFX8zds4tHIeddmIM8mgknBX5h/Gi/HMVICoQJqP3qNE1w65d8wQdWsr0fy1CJGm/aLC24Z6sWGABXAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T22:17:38.392414Z","bundle_sha256":"b50e1f6f4e29121cfdea65f4d86c9a3772e6bf2b6ba2c17bf9b8a5a1a44211eb"}}