{"as_of":"2026-08-11T13:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:957ecab094d97e14991780b4cde5480f25d1a0932ce8adb5e2befe6ec16a7a03","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T21:20:00.817229Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.25990/citation-record","integrity":"/paper/2607.25990/integrity","json":"/paper/2607.25990/citation-record.json","paper":"/paper/2607.25990"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.674919Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.674919Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:447624b79b2ad63f0fd14ce1a1c69fd0a160d99c185ea26248165b2942a578f1","observation_id":"de4118eb-fbf9-426c-a236-982925a74202","resolution":{"observed_at":"2026-07-31T21:20:00.674919Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.680422Z","title":"Borsukiewicz, F","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.680422Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:ec64dcc6f7a887bf30492ad4e0ed17c6c2def98a253a7e62f3305a3f44229994","observation_id":"bc810e73-f639-4862-8d5e-3e72b5cb367a","resolution":{"observed_at":"2026-07-31T21:20:00.680422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.684970Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.684970Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:9d5ec178f433ac0d2f935b9b5aaeea2f1102125f52fe1061ecc3d5365428292e","observation_id":"014564d3-679c-41bb-968d-d0913d2000cc","resolution":{"observed_at":"2026-07-31T21:20:00.684970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.689801Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.689801Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:22e039cf030782c743ba157db30e855111814beaff7c10e52f71ab68cb609680","observation_id":"319916d0-08ed-434b-80b2-302b0e87b82f","resolution":{"observed_at":"2026-07-31T21:20:00.689801Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.694357Z","title":"Colbois, T","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.694357Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:8dfe2099df11bdc8e13d2c345b931774488b6255dddce39e10b2b926e5722f50","observation_id":"3445cb1d-57c7-4cb4-94fe-67939513b044","resolution":{"observed_at":"2026-07-31T21:20:00.694357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.698827Z","title":"DeBruine and B","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.698827Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:84556c641ab3c46b56c969e415206ad601840cef17d12dd4c90a33d17c61ca44","observation_id":"87c65838-dad7-40b3-a87d-e54056651740","resolution":{"observed_at":"2026-07-31T21:20:00.698827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.703635Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.703635Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:40bed7dddee68533422d369b375a43e5d272e41ed25239b5a1e2abafb2f82d67","observation_id":"bdcfee81-eb7c-4c05-9271-7932fec83631","resolution":{"observed_at":"2026-07-31T21:20:00.703635Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.707775Z","title":"Independent eval- uation of biometric technology in the eu: State of play and future options, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.707775Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:175f0b1e7a586ddc7da4290f3996488a7175d8a1f6946d7c6093aab63aa892c2","observation_id":"9a90e7b6-5864-4e23-ad48-9bc0e0c0c7d7","resolution":{"observed_at":"2026-07-31T21:20:00.707775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.712128Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.712128Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:70dbc187dcddc0c8d5ac523df4c0d5f6a66bff08b32659d0773701fc5146594f","observation_id":"21bb5a21-c5c7-4db7-ab2b-1ff3206fd02c","resolution":{"observed_at":"2026-07-31T21:20:00.712128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.716433Z","title":"Commission announces launch of shared biometric matching service, May 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.716433Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:1c7d3c3fddad389dc2ab1623f6ad89b774fd9d6feb91c9ad7aca440e1c8eb2e5","observation_id":"70f7df88-4b03-4ed8-a07b-636841d4e683","resolution":{"observed_at":"2026-07-31T21:20:00.716433Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.720661Z","title":"Entry/exit system (ees), April 2 026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.720661Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:72da770048611efc488fb97f0f3b4e73d263cdb3cf75915668e0c21ae8be3291","observation_id":"9c129a39-0a2e-4115-8ae9-f634fdf7c35b","resolution":{"observed_at":"2026-07-31T21:20:00.720661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.725550Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.725550Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:64525ca97e0416bcd8f79af9c373ceda368cce0d2f7afd161739b37726c52901","observation_id":"a02de1ef-da66-44c7-b794-2da1ff83b3ac","resolution":{"observed_at":"2026-07-31T21:20:00.725550Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.729792Z","title":"Best practice technical guidelines for automated border contro l (abc) systems, August 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.729792Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:09dbcfc4aa0854d59217e7c62d4f94af6d879085db4b624af6744e58c8f11dcb","observation_id":"107bf4e4-918a-4951-93b1-3e8b1a0a1eec","resolution":{"observed_at":"2026-07-31T21:20:00.729792Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.733823Z","title":"Tech- nical guide for border checks on entry/exit system (ees) re- lated equipment, June 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.733823Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:036c40edd5d8ad534d6fae68d4108115b3f7d56920cb6f03e127c2cb6102bedc","observation_id":"a8b8e30b-5d50-485c-abb5-208fb9716a67","resolution":{"observed_at":"2026-07-31T21:20:00.733823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.737933Z","title":"George, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.737933Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:c64d9f1aed885d2a288888b4aa03e50c51e5eca890c7e0fe6ab10c7a6f7cba7d","observation_id":"1dfe7c63-e53c-48f2-badf-932431ce5afe","resolution":{"observed_at":"2026-07-31T21:20:00.737933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10079","last_updated":"2023-05-17T09:26:10Z","snapshot_observed_at":"2026-08-11T01:32:57.496018Z","submitted_at":"2023-05-17T09:26:10Z","title":"Face Recognition Using Synthetic Face Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10079","snapshot_observed_at":"2026-07-31T21:20:00.742047Z","title":"Granoviter, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.742047Z"},"links":{"cited_paper":"/paper/2305.10079","citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:c83e59ab898cdfd9d62f7ee9e59d09033dc18d4eb38cd71346495ea548ec211f","observation_id":"52fb9a4c-8f74-48a2-a967-f1829ac865a8","resolution":{"observed_at":"2026-07-31T21:20:00.742047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.746659Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.746659Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:59533ea899e71fa34d769fcb828f6e48c6c6ca958b8e71cf3ecdd4b59802aaef","observation_id":"f478c493-436f-4b32-b7e9-068bd9dc3ca1","resolution":{"observed_at":"2026-07-31T21:20:00.746659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.07530","last_updated":"2025-07-16T14:20:45Z","snapshot_observed_at":"2026-08-07T15:47:52.912328Z","submitted_at":"2025-05-12T13:12:33Z","title":"FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live Images","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.07530","snapshot_observed_at":"2026-07-31T21:20:00.750834Z","title":"Ismayilov, D","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.750834Z"},"links":{"cited_paper":"/paper/2505.07530","citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:a02cb50288408473852f9e6cddeec0734090160da96d14f203ec48deaf5a7070","observation_id":"557f4bd1-d8cb-4549-aff0-5fbc99d238b0","resolution":{"observed_at":"2026-07-31T21:20:00.750834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.755244Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.755244Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:42271d30a12817f510ab20531fc78b56b14ad23bd0075b21349e4b03c3a123d8","observation_id":"0317a339-6293-40e1-a12f-9107adfe35c0","resolution":{"observed_at":"2026-07-31T21:20:00.755244Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.759246Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.759246Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:4016f2a2b16472b366f2e6fb45fac0d92670bfeff036ff36ca79c3dcd9b24360","observation_id":"f4e27763-ed17-4b53-b87e-f68e7261febc","resolution":{"observed_at":"2026-07-31T21:20:00.759246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.763144Z","title":"Liu et al","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.763144Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:f5c893becac7405d17f7c9fe9579a566c3a715de75e6e04c16a021e279fbd4b9","observation_id":"1cccdd2a-80cf-4526-8fa4-0e2fdc529b8a","resolution":{"observed_at":"2026-07-31T21:20:00.763144Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.767041Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.767041Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:784468b53044a3bff48a396a84a6ee806be52199880dbf659bff03238d12d0d8","observation_id":"6ba6fad7-2384-409b-8111-fbf1adf17229","resolution":{"observed_at":"2026-07-31T21:20:00.767041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.771062Z","title":"Neubert, A","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.771062Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:cac0f42a8ae3a3656728c66cba78a690d9caa2354826bed4d2a63caad18cb374","observation_id":"8c36861a-975f-4272-93e0-628306994e90","resolution":{"observed_at":"2026-07-31T21:20:00.771062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.06655","last_updated":"2020-08-01T13:12:07Z","snapshot_observed_at":"2026-08-11T08:24:04.206440Z","submitted_at":"2018-04-18T11:20:32Z","title":"Deep Face Recognition: A Survey","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.06655","snapshot_observed_at":"2026-07-31T21:20:00.775052Z","title":"Nguyen, C","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.775052Z"},"links":{"cited_paper":"/paper/1804.06655","citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:217b3982d08f74b4509283e1af29b14919f5b156e5eff043dda306a8a12c54d8","observation_id":"1feedc14-ac6c-4937-b109-f0825d75fed0","resolution":{"observed_at":"2026-07-31T21:20:00.775052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.779462Z","title":"Color feret database","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.779462Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:97a430844b86fbf5bd6d87bb7bf99b4f1493b2624efd133428ed6d0107f29c30","observation_id":"772d9d2b-3d05-4418-9c1d-afa289bdd474","resolution":{"observed_at":"2026-07-31T21:20:00.779462Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.783589Z","title":"Face recognition technology (feret) program","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.783589Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:01bf9b33bf331409a168f1b9d681dc52075208326be9aeb868d8c64e79b06c87","observation_id":"c6d2ecb8-7c5c-4ffc-90f5-98ae7114539f","resolution":{"observed_at":"2026-07-31T21:20:00.783589Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.787591Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.787591Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:236c75713b0ebd981696b84762c193c0706379895952fac6bb61b79e1f83f42e","observation_id":"224b39da-343c-4324-868b-35c0e890c53d","resolution":{"observed_at":"2026-07-31T21:20:00.787591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.791943Z","title":"Schroff, D","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.791943Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:678a7a5b217ac5787cf87a96f51481dd4956af744ba46c78c2a4e23f6c5991b8","observation_id":"28a1da09-7abd-40f4-95b1-9cd097e55286","resolution":{"observed_at":"2026-07-31T21:20:00.791943Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.795969Z","title":"Sengupta, J","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.795969Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:46b206c3e68593564f29e28d50721a8d1146e227153a3ac0d6e6fe66ad508235","observation_id":"1dea6126-7b87-472b-b79e-c1e49f47f1c8","resolution":{"observed_at":"2026-07-31T21:20:00.795969Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.800089Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.800089Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:9146db7559ebb54d3877980987f27adc0ee2a7c856fdfd6965d51e451415db85","observation_id":"ab997281-4374-4814-b72f-853ba3899820","resolution":{"observed_at":"2026-07-31T21:20:00.800089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1502.00873","last_updated":"2015-02-03T14:28:55Z","snapshot_observed_at":"2026-07-06T04:08:03.954942Z","submitted_at":"2015-02-03T14:28:55Z","title":"DeepID3: Face Recognition with Very Deep Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1502.00873","snapshot_observed_at":"2026-07-31T21:20:00.804241Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.804241Z"},"links":{"cited_paper":"/paper/1502.00873","citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:02ae74b4e24f85c1afff31157b252209691f62b302ec1ac0e580bcca711ac097","observation_id":"c4eaa7dd-1b05-4565-a22c-c97f7ec798a9","resolution":{"observed_at":"2026-07-31T21:20:00.804241Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.808636Z","title":"Wu and K","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.808636Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:d01ce00a281e3adac90ea35e4a6b3783071d0f37a9d58856fa3e23cd71179a9c","observation_id":"c173db08-2652-460f-8d63-c74430999e82","resolution":{"observed_at":"2026-07-31T21:20:00.808636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06235","last_updated":"2025-04-17T12:12:38Z","snapshot_observed_at":"2026-08-01T16:48:44.405355Z","submitted_at":"2024-12-09T06:21:11Z","title":"VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06235","snapshot_observed_at":"2026-07-31T21:20:00.812767Z","title":"Yeung, T","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.812767Z"},"links":{"cited_paper":"/paper/2412.06235","citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:b8834439cffacb2e5c01f3236093daef05996090325ef9b2756fd3efa4425af5","observation_id":"f1944a54-a7be-4064-96d2-0f796956f718","resolution":{"observed_at":"2026-07-31T21:20:00.812767Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T21:20:00.817229Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-31T21:20:00.817229Z"},"links":{"citing_paper":"/paper/2607.25990"},"observation_digest":"sha256:c3abbece626936db9be8b97e76ccb4a3762afcd81c0ab2c8437e2ba21d9e7caa","observation_id":"b8a9b64e-97f1-4da7-80bf-442947326480","resolution":{"observed_at":"2026-07-31T21:20:00.817229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.25990","last_updated":"2026-07-27T09:14:35Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T01:20:25.200044Z","submitted_at":"2026-07-27T09:14:35Z","title":"On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":34,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":34},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.25990."}