{"as_of":"2026-08-16T06:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:beaaa3a4ce54415fd9d014d6a4e867126a4fb93854a8fb1df9dce174a680c132","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:26:48.531826Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.07915/citation-record","integrity":"/paper/1908.07915/integrity","json":"/paper/1908.07915/citation-record.json","paper":"/paper/1908.07915"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:26:48.968315Z","title":"Encryption- free framework of privacy-preserving image recognition for photo-based information services,","venue":null,"work_id":"eb1b7338-2b30-4192-a666-12123775576b","year":2019},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.406966Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:f5aec0a8c64278891e42d466e1de4c3a10b3b169c1b0542e669dc6e8e2b98aab","observation_id":"9d038132-54ca-46a4-a46c-8fcc72e97789","resolution":{"observed_at":"2026-08-14T12:26:48.972783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.955259Z","title":"P3: Toward privacy- preserving photo sharing.,","venue":null,"work_id":"e286803e-b98d-42cf-8f36-405147bd08a8","year":2013},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.412590Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:88c628410f9fe30facd3b36ee4517ee2966378ec9083935860fc1a481b18713c","observation_id":"65047f35-fc48-4e58-b6b4-cdd18bb0b705","resolution":{"observed_at":"2026-08-14T12:26:48.960241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.942873Z","title":"Survey on securing data storage in the cloud,","venue":null,"work_id":"8e74db76-ddf9-45df-ac77-586ce36bcbfe","year":2014},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.418527Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:f082d56b386bacd02050a466b33e5f71615a177bd945c3142e68a8a1e22cd191","observation_id":"df93e29a-074c-4466-b34b-b167b02e5748","resolution":{"observed_at":"2026-08-14T12:26:48.947330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.930913Z","title":"Private computing with gar- bled circuits [applications corner],","venue":null,"work_id":"48112d43-ceef-4bc3-9fd7-1b1725192b6e","year":2013},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.424176Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:f5bfdad7010e5d38263b01e114a17c09a7a97fd2c1d9516df81954e8fa127cac","observation_id":"cb0bf6f2-9eff-45ff-92be-9957a3d1ee21","resolution":{"observed_at":"2026-08-14T12:26:48.935332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.918299Z","title":"Privacy protec- tion in biometric-based recognition systems: A marriage between cryptography and signal processing,","venue":null,"work_id":"37f59f03-3b10-4bc0-9e36-33ea3e6ba013","year":2015},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.428889Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:9db0d36843b99778d292a5f203f9fc21d523354a206c62d29117108688a24e7a","observation_id":"645ef2db-2999-401c-b721-6d154196b139","resolution":{"observed_at":"2026-08-14T12:26:48.922786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.903841Z","title":"Encrypted sig- nal processing for privacy protection: Conveying the utility of homomorphic encryption and multiparty computation,","venue":null,"work_id":"3f1b81f3-505e-4617-947c-0b4735d2f50b","year":2013},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.434162Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:a803a92fd2cd5124b7dc1c185ff62fdd5a0363a5542abe2c4893ac0abc113bd4","observation_id":"12072759-d8e1-430d-8e0b-18c49b08cc34","resolution":{"observed_at":"2026-08-14T12:26:48.908966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.891176Z","title":"One-time key based phase scrambling for phaseonly correlation between visually protected im- ages,","venue":null,"work_id":"0720e513-13e8-4754-be11-0ed4b2fccad7","year":2010},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.439558Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:aa4d00db8903adb75ce86497175de78629c88826a313b4dd7f95b64555bca220","observation_id":"04eca1d2-e95c-4b55-89ed-54a98ca171f5","resolution":{"observed_at":"2026-08-14T12:26:48.895798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.879332Z","title":"On the security of block scrambling-based etc systems against jigsaw puzzle solver attacks,","venue":null,"work_id":"b88dbd1d-bc68-46b1-89ca-ac43a4a0e6fc","year":2017},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.443856Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:9b601d0bbeb55ff851d1c4d35f8d9161784e6a2968428b85cb3d5506c5b6d675","observation_id":"4bacf980-4a51-4575-9bfd-fc6750083f61","resolution":{"observed_at":"2026-08-14T12:26:48.883454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.864859Z","title":"Designing an efficient image encryption-then-compression system vi- apredictionerrorclusteringandrandompermutation,","venue":null,"work_id":"dfd41db8-57f3-4499-9b7e-847d758e8c56","year":2014},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.449058Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:d76ba2e8a5f23e9893ce588a7f9182a49cc0e37a7e6da4d0976525c0f012de69","observation_id":"2463f04f-f7b5-4b93-a749-6525996af21d","resolution":{"observed_at":"2026-08-14T12:26:48.869688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.852650Z","title":"2015 an encryption- then-compression system for jpeg standard,","venue":null,"work_id":"60d97212-e511-4f0d-9c7a-ea6e220a3c0c","year":2015},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.453630Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:8dbc20bd2714666c6ef9022e32b6952dae3875ff3227f953032337fb2be2fc3d","observation_id":"e7bae35a-3389-4f32-ab3a-74cffd30f408","resolution":{"observed_at":"2026-08-14T12:26:48.856626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.840978Z","title":"An encryption-then-compression system for jpeg/motion jpeg standard,","venue":null,"work_id":"dae8e565-8c7f-4665-b26e-dc9a22c59034","year":2015},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.458192Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:915116741c587afb0e1e862dd0ea7fefe70eaff8451b4da438748f98eb62dd3c","observation_id":"8018ff92-94d6-4e4f-867a-d6f6969562b3","resolution":{"observed_at":"2026-08-14T12:26:48.845366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.828983Z","title":"On the secu- rity of block scrambling-based etc systems against jigsaw puzzle solver attacks,","venue":null,"work_id":"ee0d8e87-dd8f-434e-aa41-33f65399e763","year":2017},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.462512Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:f008945fd82eca8e0849c648e71fb21e991b544a6fbe16e31271d42cf90bbf8f","observation_id":"3e075be9-fb8c-45bb-a60c-4773c543bd20","resolution":{"observed_at":"2026-08-14T12:26:48.833175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.815524Z","title":"Security evaluation for block scrambling-based etc systems against extended jig- saw puzzle solver attacks,","venue":null,"work_id":"0eb6adc7-2433-4b2f-9529-5f08a3b59b63","year":2017},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.466255Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:b9f3850d7f26860a2af23d6111acc98199da962d155b725fcb5106f4f02d20e3","observation_id":"2e7ec87e-5273-4e53-90ef-335915f00ce8","resolution":{"observed_at":"2026-08-14T12:26:48.820271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.797008Z","title":"Encryption-then-compression systems using grayscale- based image encryption for jpeg images,","venue":null,"work_id":"3d9dcebf-f6e7-4e00-b783-01d54a94255d","year":2018},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.470535Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:a4831404f539e92485d255b46dca0c1e8f9f05214e2a6971605e579775ab92ac","observation_id":"05c87e39-9eb0-4ee0-a76e-efafeaf80d33","resolution":{"observed_at":"2026-08-14T12:26:48.802140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.781879Z","title":"Grayscale-based block scrambling image encryption using ycbcr color space for encryption-then-compression systems,","venue":null,"work_id":"ce47aeba-ba41-4727-871a-e8a9cd3ee186","year":2019},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.474274Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:5fabab8ef3f7a6529f79041830a04322b80a4936910bc18a90aa1838f9ce05f5","observation_id":"aa23837c-b3ae-4729-8e40-9616606521f7","resolution":{"observed_at":"2026-08-14T12:26:48.786677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.766471Z","title":"Op- timized honest-majority mpc for malicious adversaries - breaking the 1 billion-gate per second barrier,","venue":null,"work_id":"bcef824d-7cb6-431b-bf3e-07bbd131d7b4","year":2017},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.478674Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:365dd17dc1bb6f9b22ccd5910e6d8b8a396ab870511ea16b7588cd6f18011a6d","observation_id":"9ef03fd9-e61c-468d-8dbc-87e3e6c0570d","resolution":{"observed_at":"2026-08-14T12:26:48.771691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.754434Z","title":"High-throughput semi-honest secure three-party compu- tation with an honest majority,","venue":null,"work_id":"221c8b70-5e22-4a4e-aa79-0f85bcc005ce","year":2016},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.482286Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:6b7e51469cd0b33879f6e9be95cf65aa86e54a380f6e1b79181f5092337a5505","observation_id":"87348583-3dc5-48de-8935-70e935c978a4","resolution":{"observed_at":"2026-08-14T12:26:48.758725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.741681Z","title":"Using fully homomor- phic encryption for statistical analysis of categorical, ordi- nal and numerical data,","venue":null,"work_id":"ddafd2d3-7e9a-4ddd-b8d4-7826ac48cf91","year":2016},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.487470Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:d5d8cf3e0aaa525d55e756837f729c64f34dd4852c7dc21dba461b494c57e73d","observation_id":"cd81bf4e-b82b-4fd4-b2ec-e7d01a1323b3","resolution":{"observed_at":"2026-08-14T12:26:48.746017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.728069Z","title":"Privacy-preserving logistic regression with distributed data sources via homomorphic encryption,","venue":null,"work_id":"8193a3a9-3667-4a33-88cd-2e615d0f7ad0","year":2016},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.492459Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:b1019c8b5d284baf14c1912ad0c8ddc7ff824798856dadcf11f2c2ab17543b5b","observation_id":"a6ed6cbc-02bc-4890-a8bf-552531c36a23","resolution":{"observed_at":"2026-08-14T12:26:48.732823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.714436Z","title":"A survey on biometric cryptosys- tems and cancelable biometrics,","venue":null,"work_id":"e6aa138c-6e50-487b-97a8-1186580fea46","year":2011},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.496862Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:2fef3f675b63ec8f868c62ad0a76072081ae6182cd428861c1d9808b9f96df2f","observation_id":"eee30acd-a7c1-4cfb-886e-81cb114ca858","resolution":{"observed_at":"2026-08-14T12:26:48.718498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.701065Z","title":"Biometric template protec- tion: Bridging the performance gap between theory and practice,","venue":null,"work_id":"a6485b3b-2365-47b4-b48f-03826c1c3d80","year":2015},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.501177Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:459b5d595315660554db431a96ceb8e513841d82a2f850d7aa80774483c435c3","observation_id":"f64576c8-ef89-4780-9184-3c5178999d2c","resolution":{"observed_at":"2026-08-14T12:26:48.705917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.685836Z","title":"Standardization of biometric template protec- tion,","venue":null,"work_id":"30a98e8a-9464-44fd-8669-9f90f38bcc60","year":2014},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.505693Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:0c86f47e252fe9e7d6a7c01ba529b26a43d9af586c2ab5f3e24774bec026d1bc","observation_id":"65a6f210-42ab-4874-bbf4-05270fdc8edb","resolution":{"observed_at":"2026-08-14T12:26:48.690005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.667729Z","title":"Robust face recognition via sparse representation,","venue":null,"work_id":"6407fdaf-5610-4ac2-bda3-365ca9cbf452","year":2009},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.509809Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:4b27ec2658e8bbe2bcf84325eb9b1e1e97fd1d905242d4b591e8b69037c905d3","observation_id":"1e9eee88-1553-4729-ad62-8764f67c4eed","resolution":{"observed_at":"2026-08-14T12:26:48.676077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.652186Z","title":"Unitary transform-based template protection and its properties,","venue":null,"work_id":"d2dcd68a-be3c-44b8-92ae-9ced18dc3af2","year":2015},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.513880Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:2bb556d9707c8f890812aa208907e8a16c4262001b93579f329195759a81b284","observation_id":"44c567b8-710a-4feb-a96f-c996746e60de","resolution":{"observed_at":"2026-08-14T12:26:48.657292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.638517Z","title":"Unitary transform-based template protection and its application to l2-norm minimization problems,","venue":null,"work_id":"9f8e8f2c-d936-4b38-9b0f-f115485aeeff","year":2016},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.518151Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:01fe86580a98446d72797848621ff57c25c228e510072fef185b20ffc2c3d3f6","observation_id":"614e7290-cfff-473c-9288-88279dea3914","resolution":{"observed_at":"2026-08-14T12:26:48.642796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.613200Z","title":"From few to many: Illumination cone models for face recognition under variable lighting and pose,","venue":null,"work_id":"845d7762-a3b8-46de-9e6f-6318ae7ec4fb","year":2001},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.522253Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:b1a000a10c77096aab87b279e31182036fbcb4baa6d23bf4ffc9ebce4fff30dd","observation_id":"eb356b03-5893-48a1-a32d-3d5633e6237f","resolution":{"observed_at":"2026-08-14T12:26:48.628985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.588794Z","title":"Classes of kernels for machine learning: A statistics perspective,","venue":null,"work_id":"a01e8224-21a1-4ae3-ab60-cff7a3bf3788","year":2002},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.527561Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:79e4dd5af7c3df5695bc73c65c5092775f9df13d57584da34ce39728ebe41c0f","observation_id":"19cef091-3c3f-4543-8453-8efa8d46ce45","resolution":{"observed_at":"2026-08-14T12:26:48.599663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:48.569587Z","title":"From 2006 to 2007, he was a visiting scientist at Stanford University","venue":null,"work_id":"9a0670d3-b3e0-41be-b129-94d591805620","year":1997},"citing_paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation","version":1},"reference_index":1997,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:48.531826Z"},"links":{"citing_paper":"/paper/1908.07915"},"observation_digest":"sha256:6d8557e49798fd7ddf60011b3c6ace237ed6b774b0174e2a5249b129a5174c70","observation_id":"b9165ba5-f84a-44e2-aac4-9a113ffa5b5f","resolution":{"observed_at":"2026-08-14T12:26:48.577699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.07915","last_updated":"2019-08-20T08:05:18Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-14T12:20:31.937418Z","submitted_at":"2019-08-20T08:05:18Z","title":"Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":28},"total_outbound_references":28},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:1908.07915."}