{"as_of":"2026-08-10T19:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ca4f58c1b8c71adf3bea90c1efe24e6a82ebb21a37959f88eff7bc90fdd0c333","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:27:03.166011Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2505.15476/citation-record","integrity":"/paper/2505.15476/integrity","json":"/paper/2505.15476/citation-record.json","paper":"/paper/2505.15476"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.742004Z","title":"Face detection identification and tracking by prdit algorithm using image database for crime investigation,","venue":null,"work_id":"76270dca-90af-4deb-9aea-fbd1858db155","year":2012},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:00.674960Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:7d23db8f0d22b64c926b8388cca4cc9d69e0eb669773a9fdfb7e147f05fd9274","observation_id":"2dc5f433-7e31-4035-9a4b-f23ca29c38e0","resolution":{"observed_at":"2026-08-07T15:27:03.745900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.730554Z","title":"Use-inspired basic research on individual differences in face identification: Implications for criminal investigation and security,","venue":null,"work_id":"d2567ca2-0ecf-4d67-99f5-8c198c1b4cb4","year":2018},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:00.816000Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:2bb528bea6e1c23349697e18bc656298d3199ad501932f6d4ac14829a81807c0","observation_id":"6ad53b8b-6204-47c0-ba8c-75620f80f222","resolution":{"observed_at":"2026-08-07T15:27:03.734828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.719565Z","title":"Face recognition system for financial identity theft protection,","venue":null,"work_id":"06196ef9-a317-492c-8a5c-65f426511bfa","year":2020},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:00.969239Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:35636eeb8b4772697a694221353e5f0c4236738a96948ba7f36f94e5c1e04cd9","observation_id":"b207c573-c058-45b2-9f27-c8b45479e21e","resolution":{"observed_at":"2026-08-07T15:27:03.723435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.707395Z","title":"Real time face recognition system (rtfrs),","venue":null,"work_id":"61e8ae28-1e63-4dae-a4bd-ebe2d365132f","year":2016},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:00.980092Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:86eb44d7702abfcbfee207d500c6b1fc985c5e5d19c94204a5a1a7575560f113","observation_id":"d3aff1a2-d4bb-430b-9d43-5d397c5ab051","resolution":{"observed_at":"2026-08-07T15:27:03.711724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:00.985003Z","title":"Eigenfaces for recognition,","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:00.985003Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:6ca1579392ae4b1abe7db161e78324e92b5a8636fc40a3065e222d818f43d64c","observation_id":"f2c2fd47-a642-4af1-b42e-44832aa0ff1a","resolution":{"observed_at":"2026-08-07T15:27:00.985003Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.688208Z","title":"Distance measures for pca-based face recognition,","venue":null,"work_id":"5baba2b3-6e82-44cb-9214-62f4a8e235f8","year":2004},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:00.988137Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:981652752325b9c8fd13243969e0ed628cebf88ee087008dd1a5ddc9ccac1811","observation_id":"9e841141-6ead-4089-9f6f-6fd4372a9ae4","resolution":{"observed_at":"2026-08-07T15:27:03.691937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.675418Z","title":"Face recognition in the edge cloud,","venue":null,"work_id":"73d169fa-5c43-48de-8a51-bec033b155e6","year":2017},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.030501Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:3828b130daef1c35a7af083413405b78ebf71e448f5528982c41054d1be9683a","observation_id":"d400ba35-9f7a-47ca-b2ae-fea65248f0be","resolution":{"observed_at":"2026-08-07T15:27:03.680262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.662300Z","title":"Face recognition system (frs) on cloud computing for user authentication,","venue":null,"work_id":"5fba8473-3063-46a8-9fb3-bdb7092042e8","year":2013},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.110020Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:30d0d7d4ff9fdcb2ba426023b019d7f6aeb0b525a5f0639e47a622b31848a857","observation_id":"85d4d25d-576e-4f5c-a336-d6c84fb09756","resolution":{"observed_at":"2026-08-07T15:27:03.667011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.649741Z","title":"Human face recognition using eigenface in cloud computing environment,","venue":null,"work_id":"1226e674-14cb-45c4-a7c6-544acccdab4f","year":2018},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.205670Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:09dc76afd17a2e193f918f0340fe03aff6273ac77cfc77cde6d9000c12ae616c","observation_id":"fff1d905-7c7d-4463-81d0-37a9f8f1dcff","resolution":{"observed_at":"2026-08-07T15:27:03.653614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.638139Z","title":"Toward a privacy- preserving face recognition system: A survey of leakages and solutions,","venue":null,"work_id":"0faa80bf-c29a-42ba-9592-098f7211fd16","year":2024},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.299089Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:f2e82097d359add08d5dbc2078111a3d22adfa375a0bef5a61b1bfe1c0edc29b","observation_id":"a9c11c42-7915-4133-88d2-43e072a49615","resolution":{"observed_at":"2026-08-07T15:27:03.642364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.627658Z","title":"Celebgate: Two methodological approaches to the 2014 celebrity photo hacks,","venue":null,"work_id":"f5b1593b-6a11-40bb-9b43-e9a1a3188df5","year":2014},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.361984Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:07b7212f898cb2c219cafcada1720d339e2ef3dde60ef0d7ef71d312ff6fd6a7","observation_id":"44e2a55d-b832-42c1-88c3-6672c9236ab3","resolution":{"observed_at":"2026-08-07T15:27:03.631235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.615763Z","title":null,"venue":null,"work_id":"fa7b19c1-a1dd-433c-b57f-f019fdd6c289","year":2015},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.442606Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:0ff0a4ace7302fca6249194fddd519fcf9e9641561f6cb4ad2a1753280f82181","observation_id":"19045893-59be-4a2e-9326-d2eb20e434d2","resolution":{"observed_at":"2026-08-07T15:27:03.620010Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.602964Z","title":"Leaky images: Targeted privacy attacks in the web,","venue":null,"work_id":"3078f9a4-f596-45c4-9a0d-4ed295ae8805","year":2019},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.517326Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:bdf74cd976446d027f0e94b6923cda36891ad0cd12ed7ddba9cb1eee6bdab1dc","observation_id":"a4bcf554-4387-454a-a62b-1993114b107d","resolution":{"observed_at":"2026-08-07T15:27:03.607532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:01.523156Z","title":"Homomorphic encryption,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.523156Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:b72875c0ce94ed891e27258bb91cc3d048e08869755c9ed2f3a254a33a475809","observation_id":"f0d111ab-856c-41bd-bf51-8c1f93ecfd87","resolution":{"observed_at":"2026-08-07T15:27:01.523156Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.582917Z","title":"Secret-sharing schemes: A survey,","venue":null,"work_id":"d6579cd5-f5cb-4b23-aead-4bd07647fd55","year":2011},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.526115Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:c373e5a04e475528f43d24cd7e00750f9eeba030cc22cc2dbe1797b37c928500","observation_id":"25e037bc-2fc1-49b2-99cc-66aaec798341","resolution":{"observed_at":"2026-08-07T15:27:03.587010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:01.529455Z","title":"A comprehensive survey on local differential privacy,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.529455Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:ee590c008360b84d13f279117a1f27e84192b253ac1883f82b4b3f2ff66f9fb5","observation_id":"033b08f7-b329-4d96-9ace-f60b16fbfab1","resolution":{"observed_at":"2026-08-07T15:27:01.529455Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.562617Z","title":"Towards efficient privacy-preserving image feature extraction in cloud computing,","venue":null,"work_id":"5af897c4-8387-4f89-ae20-ea2195363024","year":2014},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.543544Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:1d6c73b4cab87e70d832eceac2e1cd0ca027c2195be92008175037f0087f20e2","observation_id":"959b0141-416b-4286-9a12-d14670f3ef56","resolution":{"observed_at":"2026-08-07T15:27:03.566790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.550103Z","title":"Towards efficient privacy-preserving face recognition in the cloud,","venue":null,"work_id":"7948b82c-c5a2-491c-9048-813044356f2b","year":2019},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.616603Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:2d7471e531217dd5ff423df9b58d622f7f40ed7275ca7788766e9c1f44d4e041","observation_id":"2727b7d4-bcfc-40f0-8a36-7322b544e9a2","resolution":{"observed_at":"2026-08-07T15:27:03.554518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.538061Z","title":"Privacy-preserving face recognition,","venue":null,"work_id":"84f54aea-f9ee-4eb9-96ba-dceacca85fe1","year":2009},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.688248Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:67dcc10ba485ad1e1f2e49531a3d20b919c11e5ccb6b5e6336d4e1e8d0bf6dd7","observation_id":"48715407-64f9-4dd6-82cc-2062773c2c35","resolution":{"observed_at":"2026-08-07T15:27:03.542347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.525871Z","title":"Efficient privacy- preserving face recognition,","venue":null,"work_id":"af13cf12-e308-4421-83e0-0fc8e07c2e35","year":2009},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.765840Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:4f3f9acd17b57a8f85e33f591442a94e8d8d2fa20a363394f11b612229e0090b","observation_id":"68516417-510a-47a7-a327-3d77e5e9675a","resolution":{"observed_at":"2026-08-07T15:27:03.529772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.513874Z","title":"Privface: Fast privacy- preserving face authentication with revocable and reusable biometric credentials,","venue":null,"work_id":"f0c3675a-0295-4ae7-b9f5-ea7b4d8e27d6","year":2021},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.825692Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:cea97632db5fee8dfd8aacd1af6963b8d5bc7a3f814a4870c433dfb6035b0484","observation_id":"2fc6f0fd-a080-49fe-8b65-29709160ab73","resolution":{"observed_at":"2026-08-07T15:27:03.518201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.499996Z","title":"Efficient privacy-preserving biometric identification,","venue":null,"work_id":"0dffdd1e-0415-4f0a-9e5f-91048df51db3","year":2011},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.891750Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:a2b3a4b4b7be7f28008e2fae177ef9a70b76492b6edb463eb1f15424ee32d536","observation_id":"b43883e5-3f0b-44b1-99df-a6da81bdbc39","resolution":{"observed_at":"2026-08-07T15:27:03.505134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.486742Z","title":"Privacy-preserving face recogni- tion with outsourced computation,","venue":null,"work_id":"22c695ad-c7fa-420b-afd6-fcbb3d46aa2c","year":2016},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:01.953475Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:e85c8ba72994dda74bd46920617e2aec1a501c835f7bc13612519dd0293d0bd2","observation_id":"df7019fa-959b-499b-b88c-887fbe1ba726","resolution":{"observed_at":"2026-08-07T15:27:03.491890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.473101Z","title":"On the application of homomorphic encryption to face identification,","venue":null,"work_id":"14dafe95-35d3-49a9-99a9-8f1cea6b1384","year":2019},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.018661Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:79b903d4191aa170f272a38230c5d136540b00b5b7d86ca8b85f3589848535aa","observation_id":"f5519d2d-26cc-4b2a-b903-9311914c4a12","resolution":{"observed_at":"2026-08-07T15:27:03.478187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.461024Z","title":"Secure outsourced computation of iris matching,","venue":null,"work_id":"22b77ed4-4ec2-4b90-a39e-00c1c8c8dbd8","year":2012},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.059138Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:c1a5f47b80e93e39401e6ea15c3df28c8c8abc3a7888253f5afdaf3b13ba6817","observation_id":"622cc867-35bd-479b-88d2-3a9ca2b13137","resolution":{"observed_at":"2026-08-07T15:27:03.464642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.448154Z","title":"Privacy preserving face recognition utilizing differential privacy,","venue":null,"work_id":"cf2273c1-0f32-4542-86cc-f3b203af3b50","year":2020},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.064157Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:c92fbb111c0e65e642175131fb74a8a5f7f6e1e95d18946c7232fc24994dfab1","observation_id":"3bda1de3-e1fd-4d02-8452-0cb8f04ed6b4","resolution":{"observed_at":"2026-08-07T15:27:03.452647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.434939Z","title":"Faceidp: Face identification differential privacy via dictionary learning neural networks,","venue":null,"work_id":"7e8cc403-cf0c-487f-91dc-1b1e06c5aedd","year":2023},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.082084Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:a2f42942d42e506844516df21450fb238d55603d7f995559f15c4b78f18cf9c7","observation_id":"8cdfee94-5f11-463c-8f21-bc1da21ff667","resolution":{"observed_at":"2026-08-07T15:27:03.438854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.422167Z","title":"Out- sourceable two-party privacy-preserving biometric authentication,","venue":null,"work_id":"b5d206d1-8713-4684-ae35-6c97a3f3e6f1","year":2014},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.130899Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:5582b4207f13586da11429d6f4ca9992805812cd84612df0e81d451c6c3b7272","observation_id":"6c3c8a7d-2186-45d3-9aae-8f5f3e572773","resolution":{"observed_at":"2026-08-07T15:27:03.427368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.410339Z","title":"Efficient privacy-preserving face identification protocol,","venue":null,"work_id":"6312afa4-b9df-4d98-bcdd-51f9d104317e","year":2023},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.207959Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:d053dedf619052be06a82ee5369f617a4c7a70992c49737bd5d61d81082cc163","observation_id":"9918f5a9-8a15-44a2-aad6-16dbad57c8df","resolution":{"observed_at":"2026-08-07T15:27:03.414841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.397776Z","title":"Adaptive security in the threshold setting: From cryptosystems to signature schemes,","venue":null,"work_id":"0c5742d5-0ef2-4a6c-987f-dcc03f4cd04b","year":2001},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.293058Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:a9c1add95882024957a4d6457bc75301b565afc17d6dc5c22be99903dba26192","observation_id":"4cdb3dd5-83b3-4d20-a58f-9c2f699d0d4d","resolution":{"observed_at":"2026-08-07T15:27:03.402807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.386469Z","title":"Face recogni- tion: A literature review,","venue":null,"work_id":"ccf19970-8387-4ae2-beb5-fa9703ffa7cb","year":2016},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.328162Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:1f8460ad92d6a5b914661116a687c66a3c2c50db94d18d4bd4e3c64ff7e54aae","observation_id":"54c2ab98-b66a-42e9-9561-edeac75e9d6d","resolution":{"observed_at":"2026-08-07T15:27:03.390296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15406","last_updated":"2023-09-27T05:19:32Z","snapshot_observed_at":"2026-07-06T16:24:13.993802Z","submitted_at":"2023-09-27T05:19:32Z","title":"SOCI^+: An Enhanced Toolkit for Secure OutsourcedComputation on Integers","version":1},"cited_work":{"arxiv_id":"2309.15406","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.15406","snapshot_observed_at":"2026-08-07T15:27:03.231885Z","title":"SOCI^+: An Enhanced Toolkit for Secure OutsourcedComputation on Integers","venue":"cs.CR","work_id":"201a9761-c6e8-43ed-9a83-7541caa7c77f","year":2023},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.348367Z"},"links":{"cited_paper":"/paper/2309.15406","citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:5a7dcee0c1e3472083fba1acd7d3a7f8fe6df70ab8a38e04c0f4a0e04f0ab518","observation_id":"cd824925-81da-4809-bcd5-4990668184da","resolution":{"observed_at":"2026-08-07T15:27:03.236719Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:02.395716Z","title":"A deep dive into dataset imbalance and bias in face identification,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.395716Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:f4bc45a85449d59adcec14b7bf72c131a5a63854d4f09624ec406c5ca83da85c","observation_id":"9ba9adb9-4977-4f03-816d-a4ee3b0dd116","resolution":{"observed_at":"2026-08-07T15:27:02.395716Z","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":"2026-08-07T15:27:02.444411Z","title":"Facenet: A unified embed- ding for face recognition and clustering,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.444411Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:271eeb0cff1033277cf24c708c782ee0dfa317db0673668ddf20d4dc81787c07","observation_id":"2840b303-f6a6-46e1-8874-66d52eaa76a9","resolution":{"observed_at":"2026-08-07T15:27:02.444411Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.362726Z","title":"A multi- algorithmic face recognition system,","venue":null,"work_id":"c1e62db9-ca4d-4fe0-83d3-ba8229f0e0bf","year":2006},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.508599Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:b2ddd71b2a88efec333a9531022e105cae10322d5b258604576e74de675cbf9b","observation_id":"38060f01-aebc-451b-bf02-3e0cde1ce547","resolution":{"observed_at":"2026-08-07T15:27:03.366454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1403.0485","last_updated":"2014-03-03T16:56:53Z","snapshot_observed_at":"2026-08-10T10:46:38.406089Z","submitted_at":"2014-03-03T16:56:53Z","title":"Face Recognition Methods & Applications","version":1},"cited_work":{"arxiv_id":"1403.0485","doi":null,"metadata_source":"pith","pith_arxiv_id":"1403.0485","snapshot_observed_at":"2026-08-07T15:27:03.210613Z","title":"Face Recognition Methods & Applications","venue":"cs.CV","work_id":"692c6a5f-5c2c-4a0d-9443-87161fdb2c72","year":2014},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.575509Z"},"links":{"cited_paper":"/paper/1403.0485","citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:6c95414f40fe7580163d7d065ad0f63a4dd003e3f01748739ba70b1ae5ce667a","observation_id":"3c9e07a4-4fea-4759-8f75-71d206fdbe5e","resolution":{"observed_at":"2026-08-07T15:27:03.217252Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.350861Z","title":"Face recognition using pca and different distance classifiers,","venue":null,"work_id":"4f0ec36a-e6a0-47ea-87a8-d1cd622242c9","year":2014},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.601885Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:509b49823bec42e866c03064438b42c6e2ccd62ea75952a6b80604585253ff99","observation_id":"ac2cb04a-7cbe-4bef-8036-c1a3c8a61be4","resolution":{"observed_at":"2026-08-07T15:27:03.354826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.340636Z","title":"Generating private recommendations efficiently using homomorphic encryption and data packing,","venue":null,"work_id":"e7c3c817-d924-49f5-b38e-b108052d5628","year":2012},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.604735Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:825af32128e27442aea28bef7e54bd37c76be2d5cfea7cc06376f5c2b946e1ca","observation_id":"8713996a-2f82-471d-8851-fd7b5da0b56b","resolution":{"observed_at":"2026-08-07T15:27:03.344572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.328607Z","title":"Secure k-nearest neighbor query over encrypted data in outsourced environments,","venue":null,"work_id":"b2564620-6122-4cd0-b7a4-e8db002a7b0e","year":2014},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.607959Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:472584fd78d2d6cba95b357e4adf65bc60b54e943d57e5e39161288a04434428","observation_id":"c1bfb82b-eb4a-4eb8-a6db-346684ebe825","resolution":{"observed_at":"2026-08-07T15:27:03.333520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:02.679282Z","title":"Secureml: A system for scalable privacy- preserving machine learning,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.679282Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:41cdcd90b8a7aada53bccf4dd146d5b038b24e3f4630aa6bff75a36fbb7a4d99","observation_id":"20e7497d-f298-4531-bd7b-72972996d248","resolution":{"observed_at":"2026-08-07T15:27:02.679282Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.311055Z","title":"SOCI: A toolkit for secure outsourced computation on integers,","venue":null,"work_id":"e1c54395-9129-4a88-8034-aa04d284a5e2","year":2022},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.740509Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:da9c2552c250c878627c7c46f593a67348b3e14860df89011bd1ffdfe6677f42","observation_id":"fb4df51f-7360-4364-9c9e-a408fa8b8cbf","resolution":{"observed_at":"2026-08-07T15:27:03.315607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.298314Z","title":"FREED: An efficient privacy-preserving solution for person re-identification,","venue":null,"work_id":"b524b1c3-7e7c-4d53-bc06-e58e14a6d69a","year":2022},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.808687Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:2404eee4e83c402bf460c9fb5b92971cbf358865716b80f35b5751e50c908c5c","observation_id":"f7ee32c5-35a5-440d-a4b5-f7a9af9b7d41","resolution":{"observed_at":"2026-08-07T15:27:03.302761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.287355Z","title":"Privacy-preserving outsourced calculation on floating point numbers,","venue":null,"work_id":"b4209d6a-4f76-4ba6-b34d-e683408dfbf6","year":2016},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.852112Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:e1e98987d6198af85a65de2f729d3834092a4334e209682dd973179ae2ddceae","observation_id":"d1e3a2aa-9d6f-4ab0-81fc-9247ed1adcce","resolution":{"observed_at":"2026-08-07T15:27:03.291608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:02.892770Z","title":"Katz and Y","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.892770Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:3958d60c603889f8db07e08a009ad1d4e0df5c78b2fc432719045b0c59db0332","observation_id":"e7e8ab21-fa7f-49d5-9444-144f41628a60","resolution":{"observed_at":"2026-08-07T15:27:02.892770Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.268673Z","title":"Iso/iec 24745: 2011. information technology-security techniques-biometric information pro- tection,","venue":null,"work_id":"81fcfe72-dac7-4d8f-8c00-fbef84e70810","year":2011},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.933717Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:273a3c7fa6adb0df497baee51b283fb0352a3e50d02f8e85cc832ed6f57e7091","observation_id":"56920329-a740-409e-92b0-6bf81d61450c","resolution":{"observed_at":"2026-08-07T15:27:03.273280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:02.996202Z","title":"Labeled faces in the wild: A database forstudying face recognition in unconstrained environments,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:02.996202Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:af7731d9f835d3690ed337913e732e384b166a1642520e91bb5b4e80992f65bb","observation_id":"a738ef26-2d63-4afe-b492-67281c52a556","resolution":{"observed_at":"2026-08-07T15:27:02.996202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1411.7923","last_updated":"2014-11-28T16:05:18Z","snapshot_observed_at":"2026-07-06T04:02:01.303133Z","submitted_at":"2014-11-28T16:05:18Z","title":"Learning Face Representation from Scratch","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1411.7923","snapshot_observed_at":"2026-08-07T15:27:03.083872Z","title":"Learning face representation from scratch,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:03.083872Z"},"links":{"cited_paper":"/paper/1411.7923","citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:08c8b625b5b71de5b9e6aaeddcd64921a97be48dae4a98c0c14e0265f5052ccc","observation_id":"d938d2b1-4c4f-4cb9-89e4-a494dfe14ebb","resolution":{"observed_at":"2026-08-07T15:27:03.083872Z","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":"2026-08-07T15:27:03.157204Z","title":"(leveled) fully ho- momorphic encryption without bootstrapping,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:03.157204Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:89b82598ecfea04b968ff81bce8c5c1b56ed90bcccecb80a3c0df813ea09d66c","observation_id":"f6b83cc3-8e15-43a9-ba33-343dbd472b5c","resolution":{"observed_at":"2026-08-07T15:27:03.157204Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:03.244337Z","title":"Algorithms in helib,","venue":null,"work_id":"1d71c7e4-5f0a-4c21-8921-d4fcf54fa69c","year":2014},"citing_paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:03.166011Z"},"links":{"citing_paper":"/paper/2505.15476"},"observation_digest":"sha256:27133e0072b0929cefad767219883f04cb5d63c918e8d9ec0036c7c1e0d2270e","observation_id":"c41ea299-6f0c-439d-b318-ab9e5e042c28","resolution":{"observed_at":"2026-08-07T15:27:03.248670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.15476","last_updated":"2025-05-21T12:50:25Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T15:14:45.109008Z","submitted_at":"2025-05-21T12:50:25Z","title":"Pura: An Efficient Privacy-Preserving Solution for Face Recognition"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":2,"verified_fuzzy":36},"total_outbound_references":49},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2505.15476."}