{"as_of":"2026-08-13T14:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5eea80ed5ad47dc617b5e297b7b7613b04499c6086b3c3f7e89e976f412f93d2","coverage":[{"denominator":87,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":87,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:17:14.817289Z","state":"measured"},{"denominator":87,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":87,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2411.18531/citation-record","integrity":"/paper/2411.18531/integrity","json":"/paper/2411.18531/citation-record.json","paper":"/paper/2411.18531"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:17:14.468091Z","title":"Statistic maximal leakage,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.468091Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:0cb85b8f46aa4835ce612a07f566022f5bb6407f7551c55f5227a3fd08f2d2d3","observation_id":"a05cbd0d-1f28-4c02-9169-bc48744432ce","resolution":{"observed_at":"2026-08-12T11:17:14.468091Z","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":"2026-08-12T11:17:14.473004Z","title":"A source coding problem for sources with additional outputs to keep secret from the receiver or wiretappers (corresp.),","venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.473004Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:6e10041575ead6384d087d60fae82c00f45d9aa7420db07dcf5ba782558c3f1b","observation_id":"a5fbdadb-1107-4c36-8d6c-47aa111f86ee","resolution":{"observed_at":"2026-08-12T11:17:14.473004Z","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":"2026-08-12T11:17:14.477424Z","title":"On the foundations of quantitative information flow,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.477424Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:ee36755a03cc810e929b3d210d1a2a1fb90730bb7530bb3e2a58411a4c0d9dcc","observation_id":"a2ca6d48-a90d-4de3-a8b1-2ecd07e52060","resolution":{"observed_at":"2026-08-12T11:17:14.477424Z","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":"2026-08-12T11:17:14.481430Z","title":"Measuring information leakage using generalized gain functions,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.481430Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:69287e38339010ed19a7cd4c4b7fdc7e817ccbf3b96c4e9eb78632604ba7a327","observation_id":"1a078d4c-6346-443c-8bd8-f1ad0cfd0c6f","resolution":{"observed_at":"2026-08-12T11:17:14.481430Z","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":"2026-08-12T11:17:14.485812Z","title":"Privacy with estimation guarantees,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.485812Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:848493044231977f0bdd624cd9daacf7beec0b9c34ed2a746148e8e3bbfc5f1d","observation_id":"ca83afd8-541e-45f1-9d7e-26fe764f497f","resolution":{"observed_at":"2026-08-12T11:17:14.485812Z","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":"2026-08-12T11:17:14.490150Z","title":"From the information bottleneck to the privacy funnel,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.490150Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:b1e0d6a4caa84b8fc67daefca0e79da7f621b1498e405f5685e1898dea7c1a52","observation_id":"d24536ad-1c7d-4d20-9612-8a7a6bcd03be","resolution":{"observed_at":"2026-08-12T11:17:14.490150Z","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":"2026-08-12T11:17:14.494135Z","title":"Bounds for privacy-utility trade-off with non-zero leakage,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.494135Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:616ce04c68c567010367e70b49bd72289577a7a2c10aa01b71d784bf5b946afb","observation_id":"a9b50936-8fb0-47a1-98a1-5bb31c82fbba","resolution":{"observed_at":"2026-08-12T11:17:14.494135Z","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":"2026-08-12T11:17:15.829660Z","title":"Quantitative notions of leakage for one-try attacks,","venue":null,"work_id":"c08d0d59-bc54-4e19-92a8-d9b371d37d94","year":2009},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.497639Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:43bae7dedb42bd14c88d3ff4c612ca77a60a0456bd18c4baa3df2113d939b847","observation_id":"f47aca5a-5942-4528-a62a-470dcde29e6b","resolution":{"observed_at":"2026-08-12T11:17:15.833518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.818349Z","title":"An operational approach to information leakage,","venue":null,"work_id":"6f6d9cfa-c128-43fb-999b-fa54589f8a6b","year":2019},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.501639Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:0e5a227e1f6da465ff0391b783f5754923d968061c6d5b97569783b46c4a7dd0","observation_id":"ef8f299f-b9ec-47de-bceb-1c996ae94c21","resolution":{"observed_at":"2026-08-12T11:17:15.822110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.807928Z","title":"Principal inertia components and applications,","venue":null,"work_id":"69e5561b-42fc-41a4-b7c8-3b8242ad8608","year":2017},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.505653Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:94aa5546556fce509fb00d42d178251f46b6edd2c903307cddd8ce0a4c5284d2","observation_id":"d30a0cf7-6084-42ea-8d7a-131dbc7b576d","resolution":{"observed_at":"2026-08-12T11:17:15.811629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.797136Z","title":"Secrecy by design with applications to privacy and compression,","venue":null,"work_id":"82ff3d6e-e701-4a16-a710-2b992ece2e7a","year":2020},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.509263Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:de2b19aa98ed8f180bbad8f087a5fa99f44f4219774b30b24eb0f5b8eef62578","observation_id":"cf8240d9-1eb2-4928-b3ca-1c6a4ab3d600","resolution":{"observed_at":"2026-08-12T11:17:15.801001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.786048Z","title":"On the privacy-utility trade-off with and without direct access to the private data,","venue":null,"work_id":"30f5839d-115f-49d4-99ba-6197c2bb7a84","year":2023},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.513393Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:ce12240e074edb111236c76733fd11dc7ea06108717990f383f5a6dbf9ab0069","observation_id":"8aa4cece-df0b-409c-bb20-c64636f062c6","resolution":{"observed_at":"2026-08-12T11:17:15.789895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.774644Z","title":"An efficient difference-of-convex solver for privacy funnel,","venue":null,"work_id":"8fee5491-1156-4533-a8ae-ac412929c343","year":2024},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.517310Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:e9a2a69b72f2367ca0a7ba95f9db3a8f63684e519d7fb707d5be88e1d631b154","observation_id":"18be7e6c-3c77-42ea-9739-29041fa0a582","resolution":{"observed_at":"2026-08-12T11:17:15.778926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.762512Z","title":"A compression perspective on secrecy measures,","venue":null,"work_id":"6cfd462f-8e85-4826-8c3d-3851220981ca","year":2021},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.521031Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:9d5408028e00e31490b7d30fb7dcfc4403263c95361873bd3cbc85ceec9d4e99","observation_id":"a90d8ca8-6b0e-4ea5-9dd0-d0b7b8657483","resolution":{"observed_at":"2026-08-12T11:17:15.767535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.749927Z","title":"Cache-aided private variable-length coding with zero and non-zero leakage,","venue":null,"work_id":"9c1161cb-9953-4bc8-b70b-8805cd72d40c","year":2023},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.524800Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:416440acf160a26a4adac8fdb05bd45361de74bd61c18dabc5c6d055bc9821d5","observation_id":"c7b2df6b-3e2d-4fd9-b688-a045d16bf41f","resolution":{"observed_at":"2026-08-12T11:17:15.754645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.737881Z","title":"Private variable-length coding with non-zero leakage,","venue":null,"work_id":"db3cfe83-ce00-4e89-a0b0-2e9117c2b618","year":2023},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.528460Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:3b7e6753a189bc2eb83aee555b4b5761fa88e2ced392e34505bdc2537a30b1fe","observation_id":"90c65eb5-688b-4818-9b92-ad292f6183e3","resolution":{"observed_at":"2026-08-12T11:17:15.742474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.02014","last_updated":"2023-10-27T21:33:06Z","snapshot_observed_at":"2026-08-13T12:32:38.843767Z","submitted_at":"2023-03-03T15:29:19Z","title":"Summary Statistic Privacy in Data Sharing","version":2},"cited_work":{"arxiv_id":"2303.02014","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.02014","snapshot_observed_at":"2026-08-12T11:17:14.924871Z","title":"Summary Statistic Privacy in Data Sharing","venue":"cs.CR","work_id":"fd571ed7-c9d0-47f3-90c3-e649479aa9b5","year":2023},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.532162Z"},"links":{"cited_paper":"/paper/2303.02014","citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:700cad2eaa3e764573955ba852e90736dfba0f8f642dc6cee2bcfa93c475d5cb","observation_id":"92bd9dda-97f0-483f-8f63-698619c83746","resolution":{"observed_at":"2026-08-12T11:17:14.929287Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.725728Z","title":"Consequences of model misspecification for maximum likelihood estimation with missing data,","venue":null,"work_id":"69ad747a-3822-4be6-988f-5387477d7194","year":2019},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.536572Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:c6a1e28106f6f65bceac1f665f276a2246509c85f584c0338f44053898933def","observation_id":"b7a09f10-390c-436b-ac43-70b3f751c34a","resolution":{"observed_at":"2026-08-12T11:17:15.729905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.712908Z","title":"Some comments on misspecification of priors in bayesian modelling of measurement error problems,","venue":null,"work_id":"18d266b1-32af-4bfa-819e-12aea4229ab6","year":1997},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.540287Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:53e0ad29f1bebcbe0473edb5f5e65aa18b97ff275960983a9b9143048cc29c10","observation_id":"144a8d6d-68b1-4eac-a681-e0f7263e7e09","resolution":{"observed_at":"2026-08-12T11:17:15.716948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.701559Z","title":"Misspecification in infinite-dimensional bayesian statistics,","venue":null,"work_id":"24a92a58-dc4b-4994-8ba7-b4149162898e","year":2006},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.543965Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:edb0f6efed29b4df8cf27a91ed0b1843bb0cdf652981b9abe591c9e30a0cbb73","observation_id":"1a62993b-a99e-4db6-9e1a-8e652fa86ae9","resolution":{"observed_at":"2026-08-12T11:17:15.705675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.687957Z","title":"Calibrating noise to sensitivity in private data analysis,","venue":null,"work_id":"dd378fdb-da46-4686-8cb8-25a055d2e093","year":2006},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.547568Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:97ab91a3680c4fbf33851260efcd7384537cc75e8e5d6f1886c9d3e64a490c2b","observation_id":"6f06a8dc-fead-4416-8723-dff1d36e1857","resolution":{"observed_at":"2026-08-12T11:17:15.692472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.674553Z","title":"Deep learning with differential privacy,","venue":null,"work_id":"19cb0de1-53f1-47e4-a29c-fdb20c3b9045","year":2016},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.551022Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:199dcdf1156f1ae60fa2f6539d0577c441c9bbf98dcf4231ba301d9704bacf62","observation_id":"d3882961-908f-4d4d-8457-86e02e5999dc","resolution":{"observed_at":"2026-08-12T11:17:15.678529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.662662Z","title":"Attribute privacy: Framework and mechanisms,","venue":null,"work_id":"6b022cc1-ac94-49b1-be85-0e1495040a8e","year":2022},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.554636Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:16e75a808b34ab2e10ac47b4465e0fccd0c709205755cd8b4d27dde465f46b0d","observation_id":"a5a9c394-355e-4c08-a65c-8a9cd3886b93","resolution":{"observed_at":"2026-08-12T11:17:15.666885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.652487Z","title":"Local obfuscation mechanisms for hiding probability distributions,","venue":null,"work_id":"bdecb111-b4e4-49f4-a7d5-1461c3d05d08","year":2019},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.558165Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:eb440f7c1e4ce24cc818aa091ae90c18ed1bd4f34035e16422e5521aa6c19995","observation_id":"721e20f0-3fc2-4cbb-b9b9-641f573c3b10","resolution":{"observed_at":"2026-08-12T11:17:15.656003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.06024","last_updated":"2022-07-05T13:54:26Z","snapshot_observed_at":"2026-08-11T03:54:56.643408Z","submitted_at":"2021-09-13T14:54:39Z","title":"Formalizing and Estimating Distribution Inference Risks","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.06024","snapshot_observed_at":"2026-08-12T11:17:14.561784Z","title":"Formalizing and estimating distribution inference risks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.561784Z"},"links":{"cited_paper":"/paper/2109.06024","citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:5f1b014a8aa69eb6e59047711aaa2aa8564d695ab5d0079e042b6adad03a340a","observation_id":"f74b0d37-7dcf-409e-a7ca-d24675f021f3","resolution":{"observed_at":"2026-08-12T11:17:14.561784Z","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":"2026-08-12T11:17:15.641874Z","title":"Guarding multiple secrets: Enhanced summary statistic privacy for data sharing,","venue":null,"work_id":"a06a473f-f0ce-4471-8d8b-832705fcdb05","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.566611Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:e3ddda5fba0c1c91f78603c81d53ef63d1d37ba2700772665065e03abd0fd90f","observation_id":"4225f649-880e-4871-9e54-f5d1b003c430","resolution":{"observed_at":"2026-08-12T11:17:15.645850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.631376Z","title":"Pointwise maximal leakage,","venue":null,"work_id":"88ffce15-7d6e-4ed3-9af6-bb661f1be9a0","year":2022},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.571140Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:249cbbdf98a7176c5929f0ce14466ebd13eb8c207fe4920c81898fab870c9f36","observation_id":"1170558d-a97d-4aad-ac7f-fe44fbb56fd8","resolution":{"observed_at":"2026-08-12T11:17:15.634924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.620247Z","title":"Development and analysis of deterministic privacy-preserving policies using non-stochastic information theory,","venue":null,"work_id":"fbc88684-7e89-4cee-b60d-f08760a9acb0","year":2019},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.574852Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:d5a03eed0b6b824bfe2e9a9918b120f8cf6db0068058522946a28065a0c77fc6","observation_id":"3206edd3-48a2-48ef-8528-07edfa3ee684","resolution":{"observed_at":"2026-08-12T11:17:15.624280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.609444Z","title":"Chaudhuri and R","venue":null,"work_id":"254c500d-1990-4008-bec0-8074a00fff2f","year":2020},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.578412Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:2fa53a340d32cfaa0663506046cd30dac24e50a99d974072031fb4053df1e4b4","observation_id":"914f5da9-b2ee-4a62-8ec0-46b90523a3f5","resolution":{"observed_at":"2026-08-12T11:17:15.613108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.598302Z","title":"Extremal mechanisms for local differential privacy,","venue":null,"work_id":"10b0860f-fe42-4115-8831-9d209b4c2d4b","year":2016},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.582597Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:64153291becf098807a3e6f00560f290dcf9e30f77b3f6a9d03c8f218aaab925","observation_id":"a1e28533-d2df-42e6-9839-b0dc4c80620e","resolution":{"observed_at":"2026-08-12T11:17:15.602246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.587934Z","title":"Using randomized response for differential privacy preserving data collection","venue":null,"work_id":"895d0ec6-b3a8-44b3-997b-fc7204f0839e","year":2016},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.586194Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:2073a359e6714b2853dbdaab7a04718dfa83803b9219b917e5599697833edb25","observation_id":"233e50c0-3cc3-49c1-acfc-dbb2ff0343df","resolution":{"observed_at":"2026-08-12T11:17:15.591636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.576018Z","title":"Tunable measures for information leakage and applications to privacy-utility tradeoffs,","venue":null,"work_id":"a87e60b4-95c7-43ae-98b6-7ce2dd810d95","year":2019},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.590629Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:4b7187e06fb59c7772569d49bc109c2771f4c6bec64898e590b1612fa99cbb38","observation_id":"8f160364-b419-4cd0-bc5d-fef7627dbfca","resolution":{"observed_at":"2026-08-12T11:17:15.580559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.564113Z","title":"(α, β)-leakage: A unified privacy leakage measure,","venue":null,"work_id":"c2d56569-9996-4852-83bb-16cf45188422","year":2023},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.594374Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:bd3df57cd275655fc7889b6136702e6e049d620f1c08704312dcf39c78b6aaae","observation_id":"333e67f9-45a7-4ea7-83e1-338f93727cf5","resolution":{"observed_at":"2026-08-12T11:17:15.568333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.552168Z","title":"An operational approach to information leakage via generalized gain functions,","venue":null,"work_id":"25acd23f-8dae-446a-b398-9fe216b7c986","year":2022},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.598003Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:74605c21d61c12c1c53e2e63a1fe323b4069153fb0afc10539c161da77e9d876","observation_id":"a8c3c1ad-b8f9-4951-8929-75d9628375f9","resolution":{"observed_at":"2026-08-12T11:17:15.556755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.539250Z","title":"Binary maximal leakage,","venue":null,"work_id":"d293f3b4-0af3-4186-8211-b1b7d1bee605","year":2024},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.601709Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:669b56766bd5cbb1892d536701d1bd235d26152b05bc75f7654a9f9c74cc0421","observation_id":"5a43edc9-41da-4388-8e26-5216d886e765","resolution":{"observed_at":"2026-08-12T11:17:15.543856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.526799Z","title":"Fundamental limits of perfect privacy,","venue":null,"work_id":"e322da60-f4da-4581-b6d5-691072dcbc9c","year":2015},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.605969Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:6d1e6df5ea4439989ed41c41bb7914f5dd1df31cd0086b653371f64ac0d637fa","observation_id":"461852d5-6c60-446a-973c-c2e9cce2880d","resolution":{"observed_at":"2026-08-12T11:17:15.530713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.514793Z","title":"On perfect privacy,","venue":null,"work_id":"c7ef0aaa-48b0-4690-a127-2f0aa0165d95","year":2021},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.609624Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:8231a27884e7ce884439ec4c9cbd831ddfedca6b0e1ca515cecb9e4b8f4cea2e","observation_id":"a75f8137-20b3-40ed-93fd-654334f42274","resolution":{"observed_at":"2026-08-12T11:17:15.519047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.501913Z","title":"Privic: A privacy-preserving method for incremental collection of location data,","venue":null,"work_id":"a95386ff-01a7-4986-8631-6a5a61425149","year":2022},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.613160Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:91457ac1027c9476a70a01ab4a876ebd04401bc4400fb191ae90d4504c0dc51e","observation_id":"f9643b01-011f-41e0-a7f1-011d6289a0aa","resolution":{"observed_at":"2026-08-12T11:17:15.506022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.490650Z","title":"Back to the drawing board: Revisiting the design of optimal location privacy-preserving mechanisms,","venue":null,"work_id":"127d8866-0d4b-4910-87f7-e5ad3e1a8b27","year":2017},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.616715Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:aac019f4965fd620668c9ef78b6c363ab3ec3fe09cbea409eb88bdd5fd03dd2c","observation_id":"6879a0fd-d52c-4794-bdf8-42a83193a16b","resolution":{"observed_at":"2026-08-12T11:17:15.494596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.478152Z","title":"Quantitative analysis of the leakage of confidential data,","venue":null,"work_id":"bcf75551-4fa5-436c-8733-11ec2236acb3","year":2002},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.620407Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:93ca1d18cc28ea99e592e96568a3add059d5273f2983eceb67ec1d5f52aeaaf5","observation_id":"dd721b53-7892-4166-b75a-ecabedf64d23","resolution":{"observed_at":"2026-08-12T11:17:15.482944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.466962Z","title":"A static analysis for quantifying information flow in a simple imperative language,","venue":null,"work_id":"5d5ecdec-6360-4bdf-9d49-9843659aba46","year":2007},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.624395Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:1390f99992f61696ec1e13a66008269919b2e4627b35e59ee77487a3541a7ee1","observation_id":"aa9e8bdc-8e6e-4c0a-8a3f-c30fbee9f961","resolution":{"observed_at":"2026-08-12T11:17:15.470827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.454684Z","title":"Assessing security threats of looping constructs,","venue":null,"work_id":"967a47a3-b312-4d30-90f2-8fcff6c0e5a8","year":2007},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.628279Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:4a1a34d94ce62c56456bfa0a19355f46a97cc9cc0f1e50742b1b3ea9ac6b359b","observation_id":"cbff6d99-d811-4f58-95f4-41be648c8e24","resolution":{"observed_at":"2026-08-12T11:17:15.459259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.441673Z","title":"Optimal utility-privacy trade-off with total variation distance as a privacy measure,","venue":null,"work_id":"80858a0d-d07b-49bf-9be1-5cc5500868c4","year":2019},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.631959Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:992bb4145caf66ba5ab0a435831dc3aeeae73614f318a772c49a35c2b4e4ba4d","observation_id":"e99cb980-17b4-4843-9f03-885988513932","resolution":{"observed_at":"2026-08-12T11:17:15.446084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.429347Z","title":"Additive and multiplicative notions of leakage, and their capacities,","venue":null,"work_id":"828ab717-8548-4498-9442-7dde5a434165","year":2014},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.636344Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:94feffe43a1d3a0bd6a197b9d283695f5e9c449d68bfcb9f65e5bc9abe58bdcd","observation_id":"57cd7beb-4d44-499f-90f5-5ab9903db7e3","resolution":{"observed_at":"2026-08-12T11:17:15.433433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.416925Z","title":"Privacy-aware guessing efficiency,","venue":null,"work_id":"bc6efc78-2fd2-445c-9bf3-f9ca77ae719f","year":2017},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.640145Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:480dc28e9dd10083fe65df7c5ca35ce09fee56ec2893bb231b01611b336787f4","observation_id":"b759ac92-c83a-4beb-8a87-43518436c69e","resolution":{"observed_at":"2026-08-12T11:17:15.420805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.405453Z","title":"Estimation efficiency under privacy constraints,","venue":null,"work_id":"0e96c2a0-96e7-4af2-bb80-9ef120a1e3d8","year":2018},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.644161Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:5b641adeee27159359ada1a97de724552ce9470ea5cebabde23e72a1ae5780c5","observation_id":"692f7ce2-7b53-4fc9-bd27-0e47a38f074e","resolution":{"observed_at":"2026-08-12T11:17:15.409364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.393668Z","title":"Correlated secrets in quantitative information flow,","venue":null,"work_id":"f56fd898-1ee9-4ab7-a5c5-835441d8045b","year":2016},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.647909Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:e7bada8379053d8acabbc1b61b27a448b51ca60781adf253784d9418050ab98e","observation_id":"9dbe5dc7-f3ac-4a3d-935e-b62df20c2871","resolution":{"observed_at":"2026-08-12T11:17:15.398005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13075","last_updated":"2023-05-22T14:46:43Z","snapshot_observed_at":"2026-08-13T11:37:13.623082Z","submitted_at":"2023-05-22T14:46:43Z","title":"Analyzing the Shuffle Model through the Lens of Quantitative Information Flow","version":1},"cited_work":{"arxiv_id":"2305.13075","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.13075","snapshot_observed_at":"2026-08-12T11:17:14.897705Z","title":"Analyzing the Shuffle Model through the Lens of Quantitative Information Flow","venue":"cs.CR","work_id":"c0ee7f91-cee2-42af-88a5-d34584647040","year":2023},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.651495Z"},"links":{"cited_paper":"/paper/2305.13075","citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:c4b67a1215d5e4335f889887149259dc29bb5dc46df49f7002c88134b373d8a2","observation_id":"a8ada19b-b9c9-41b4-aa74-a2819e6d7495","resolution":{"observed_at":"2026-08-12T11:17:14.902034Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.381204Z","title":"On the security-privacy tradeoff in collaborative security: A quantitative information flow game perspective,","venue":null,"work_id":"ced18f92-a7c4-463a-b659-5e8ea617f6f4","year":2019},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.655598Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:68469498dab59a0ebeca8f0307053217d75bb0955f43ba709531ba340ae02b7f","observation_id":"19795aba-fe91-40b2-9279-419575b2fb39","resolution":{"observed_at":"2026-08-12T11:17:15.385655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.369282Z","title":"A novel analysis of utility in privacy pipelines, using kronecker products and quantitative information flow,","venue":null,"work_id":"3c1bc0a0-392a-49e8-918b-80007b7fb85e","year":2023},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.659916Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:dae2e3dd05ceda2f17e2ba7fb34826f380ac4897d52e317c3dd5d8e0db154fa8","observation_id":"3fc66cce-5e94-4197-9912-14e3e3d5541e","resolution":{"observed_at":"2026-08-12T11:17:15.373286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.355924Z","title":"Coding theorems for a discrete source with a fidelity criterion,","venue":null,"work_id":"d5defc33-b1d2-4aa7-b047-8a5e0d97768d","year":1959},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.664508Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:1ca9805a3b2e03300e6b0b7522993d680b8638df953504318f287c4204a36421","observation_id":"f13cc5a4-021e-4499-bdb7-1420167b1d6d","resolution":{"observed_at":"2026-08-12T11:17:15.360802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13804","last_updated":"2024-06-12T23:41:39Z","snapshot_observed_at":"2026-08-13T00:02:01.601064Z","submitted_at":"2024-05-22T16:30:34Z","title":"Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing","version":3},"cited_work":{"arxiv_id":"2405.13804","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.13804","snapshot_observed_at":"2026-08-12T11:17:14.876775Z","title":"Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing","venue":"cs.CR","work_id":"1633353e-622b-49f8-8421-cc2d7f0e1e64","year":2024},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.668971Z"},"links":{"cited_paper":"/paper/2405.13804","citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:d139d356873692ed8b6f4ff04f77e7067c2cfa5ed9644e78a4ec1ccafd9f6eca","observation_id":"85fdbc71-69cd-40ad-a0ab-dbddfe051e45","resolution":{"observed_at":"2026-08-12T11:17:14.883191Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.343192Z","title":null,"venue":null,"work_id":"cc933dd7-b43b-4798-9d03-9831d2062d58","year":1982},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.672988Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:467d311b73979523646b696c603db785578249b92b95e1757720132cc3daff75","observation_id":"802fdb93-eb47-4902-8344-abdc4e97e632","resolution":{"observed_at":"2026-08-12T11:17:15.347204Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.330778Z","title":"Toward a mathematical foundation for information flow security,","venue":null,"work_id":"db882cc5-b29c-47ab-8fdb-5215715e4036","year":1992},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.676637Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:7b988badd253e246e1dc8f09ef0131781c2e0d702dfec5fb21599fdfd647c832","observation_id":"5711e48d-fa1b-4ca9-a39c-294006d0c475","resolution":{"observed_at":"2026-08-12T11:17:15.334941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.318746Z","title":"Noiseless database privacy,","venue":null,"work_id":"dcefb48b-588e-4f2f-b5b0-0932e31bde04","year":2011},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.680606Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:6406bc8bc33b9c0f7ece2f03b17b33ea6855bd91b4cffddf01c0377f36a74132","observation_id":"56a0e2d1-0246-432e-8d90-e710bbf903cd","resolution":{"observed_at":"2026-08-12T11:17:15.322918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.306343Z","title":"Noiseless privacy: Definition, guarantees, and applications,","venue":null,"work_id":"4fef2169-508d-4771-b050-5878d2c68804","year":2021},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.684353Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:09bbc2a3ae5def21dc3093fa2098b8243872d161ef4c3911ff02632f51c526bf","observation_id":"cf10eb1e-db78-4632-ab31-650ba7a269a8","resolution":{"observed_at":"2026-08-12T11:17:15.310160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.294327Z","title":"Non-stochastic private function evaluation,","venue":null,"work_id":"f5944179-0172-41fc-904c-d73263214aa9","year":2020},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.688966Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:2092af8d3fec97a9e9bffee07f5e6dd0f5d2e70be10ccfed9c8262aeb4aae616","observation_id":"bec54844-71b3-4177-a321-405316f876f5","resolution":{"observed_at":"2026-08-12T11:17:15.298386Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.281942Z","title":"A nonstochastic information theory for communication and state estimation,","venue":null,"work_id":"798915aa-11d8-4715-a3b4-b2ff8adc0a0d","year":2013},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.692725Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:eb7f5ffcfe1af95feada6abed38d4aef04241a85740723cf8e4ff353f11b6b74","observation_id":"6a5c0622-d69d-4d86-80ab-ff497541c7ad","resolution":{"observed_at":"2026-08-12T11:17:15.286140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.268633Z","title":"Dissecting distribution inference,","venue":null,"work_id":"d960f693-3122-4854-b10d-21a32365c83a","year":2023},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.696527Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:b7fbe7b39bd60e99e0a5a5a9ac64402ce4409babab74cfcf60ea47933b2ad81a","observation_id":"20a2bc67-94d3-4396-b7ba-ad199661e9bd","resolution":{"observed_at":"2026-08-12T11:17:15.273843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11908","last_updated":"2019-07-27T13:32:15Z","snapshot_observed_at":"2026-07-06T08:10:40.079646Z","submitted_at":"2019-07-27T13:32:15Z","title":"Local Differential Privacy: a tutorial","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11908","snapshot_observed_at":"2026-08-12T11:17:14.700700Z","title":"Local differential privacy: a tutorial,","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.700700Z"},"links":{"cited_paper":"/paper/1907.11908","citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:661c2f377db1dfe225068e195d153042680bd6aaf1d2d114d29f2a2043a2c740","observation_id":"ba1e7b15-4aab-4093-a1fb-290b5360f94d","resolution":{"observed_at":"2026-08-12T11:17:14.700700Z","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":"2026-08-12T11:17:15.255429Z","title":"Differential privacy: on the trade-off between utility and information leakage,","venue":null,"work_id":"b7eb17ec-1362-4331-946f-4905fff67d91","year":2011},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.704935Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:71a97be283c2e0610f3b43cbd320746f306156cb03dd8572ff93f6bf977cebe3","observation_id":"c5735f71-0567-4c4b-b997-ff78d104ccdc","resolution":{"observed_at":"2026-08-12T11:17:15.260037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.243755Z","title":"{Utility-Optimized} local differential privacy mechanisms for distribution estimation,","venue":null,"work_id":"0fb52d93-b4b6-4331-bf09-a029332c25b8","year":2019},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.708890Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:f0f8bbe4b15b5b9d02f462a39f3a4e5462cfd434deb1e4eb7d2f8339a5fbb6da","observation_id":"20d94203-b06a-4fbf-8580-33e1826a57fd","resolution":{"observed_at":"2026-08-12T11:17:15.247686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.232401Z","title":"Flows in networks,","venue":null,"work_id":"562f69dc-ac78-4308-876f-e13c1d17b295","year":2015},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.712592Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:910708b1a7b3fa0bd8c28c1c3ee38cff830458f86f2c632d81e4b8c1909c1ebb","observation_id":"cc6d671d-a1b5-4580-ab07-38bcd93b0562","resolution":{"observed_at":"2026-08-12T11:17:15.236295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.220902Z","title":null,"venue":null,"work_id":"a3309ae0-71de-418b-b962-0e3f11a7b078","year":2010},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.716298Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:db2de2f553d582411246f0e3b13e238fda08d6ed9779b18833e5a6809fc9ce1c","observation_id":"718373a0-f2ba-4266-9b10-17697d3df75c","resolution":{"observed_at":"2026-08-12T11:17:15.224768Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.208091Z","title":"Flow improvement and network flows with fixed costs,","venue":null,"work_id":"cd42edda-357c-4ccc-9d29-91df33a690f6","year":1998},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.720139Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:9fc7aa200fde074f93bc33e3287c6dfc7789983fab73799570f2694a608125b6","observation_id":"967998cd-eafb-4913-844d-c5c9ec6979e7","resolution":{"observed_at":"2026-08-12T11:17:15.212179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:14.724993Z","title":"Boosting and differential privacy,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.724993Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:40085558a2f1792c94b7175b278992af1cc98bb1b30274afce0a91c67b27c887","observation_id":"b97673b3-a5dc-47b5-8cce-899869370b58","resolution":{"observed_at":"2026-08-12T11:17:14.724993Z","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":"2026-08-12T11:17:14.728838Z","title":"Becker and R","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.728838Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:dc99fd8e8f431d72581cc4b19ff83c6a2640681a4545737a630f0987ad28fbc7","observation_id":"1bf854ac-b649-4da7-bd08-963bcda49e33","resolution":{"observed_at":"2026-08-12T11:17:14.728838Z","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":"2026-08-12T11:17:15.189418Z","title":"Optimal mechanisms under maximal leakage,","venue":null,"work_id":"1378bed9-3dd8-4f87-bb4a-877b23292792","year":2020},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.733212Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:dc9ca0f27faef438e471e3ab41ce92d057399398cfddd683fbaf49f139b8750d","observation_id":"dd19ed72-1391-4b71-87f5-b3929282e790","resolution":{"observed_at":"2026-08-12T11:17:15.193612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.177059Z","title":"Michael r. πgarey and david s. johnson. computers and intractability. a guide to the theory of np-completeness. wh freeman and company, san francisco1979, x+ 338 pp","venue":null,"work_id":"401d8b35-982e-48d2-aeb0-57eb959e1496","year":1983},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.737344Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:8ff4e84d6720fa4ee27634e28d819b796b5949763647a1146d97c1244a247b56","observation_id":"1e56fecd-56a7-40a9-bb0e-b1288ca2474d","resolution":{"observed_at":"2026-08-12T11:17:15.181191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.165913Z","title":"Minimum cost flow problem with conflicts,","venue":null,"work_id":"baa78913-f204-49c9-9d63-f76d7d1d2fa2","year":2021},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.741045Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:74311740ec604aa826d8241b6a9052b0e3ec1955492d654bca191654a303dcbf","observation_id":"73d71066-d655-436d-a06b-04bd1211f7ec","resolution":{"observed_at":"2026-08-12T11:17:15.170144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.154675Z","title":"𝜃! 𝜃\" 𝜃# 𝜃!$ 𝜃","venue":null,"work_id":"41f844aa-13f2-4d20-9d16-ee2fb092f79c","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.746097Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:1b62d689ed0077887e554a1e6647b42b48f865ef042b98050b83cabad3ee13bd","observation_id":"54347fa7-8141-4621-9bb7-4fbe768ddaf6","resolution":{"observed_at":"2026-08-12T11:17:15.158528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.142796Z","title":"Therefore, there exists an approximation algorithm for SML calculation with approximation ratio 1 +ρ (ρ >0) and running time polynomial in |Θ| · |Θ′| and 1/ρ","venue":null,"work_id":"09eef5dc-7846-419d-90e1-d219746b8896","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.750301Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:b0833a3e66cce96329d41de78c01a99e6befef883794f872f8a15c057349d00d","observation_id":"3d251836-109b-4737-8524-f74ee8bb72da","resolution":{"observed_at":"2026-08-12T11:17:15.146735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.131878Z","title":"4, we know that Π∗ MRR,g = log τ +d∗−1 d∗−1 + s (eϵ − 1) τ +d∗−1 d∗−1 + eϵ − 1 ≥ log τ +d∗+ ˆd∗ 1 −1 d∗+ ˆd∗ 1 −1 + s (eϵ − 1) τ +d∗+ ˆd∗ 1 −1 d∗+ ˆd∗ 1 −1 + eϵ − 1","venue":null,"work_id":"7f982656-7105-4232-a799-6d216a497a38","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.754606Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:0934dc1a60d308310e0f14a3a96de3c6877fa0da001c3640655c93a79a91ba77","observation_id":"947ec0c7-5472-44d2-9e41-477d0ec3b7cd","resolution":{"observed_at":"2026-08-12T11:17:15.135590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.120672Z","title":"4, we know that Π∗ MQM,g = log l s I m","venue":null,"work_id":"54f65e5e-8451-4239-bc59-311a357c398f","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.758437Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:2566a93fff0c59113d5de2825dbb56f6aa167f656f1281c4abe21d4adbb914e1","observation_id":"e4c81bf5-fdc2-410d-84e4-90b775867000","resolution":{"observed_at":"2026-08-12T11:17:15.124299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.109358Z","title":"s I 1 + τ I−2s(d∗− ˆd∗ 0) τ I+2s(d∗+ ˆd∗ 1 −2) d∗− ˆd∗ 0 # , d ∗ − ˆd∗ 0 ≤ log I, log","venue":null,"work_id":"282c03af-3dbd-4a95-b30a-45bba29a262c","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.762705Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:a216905ae93404c01fee9eac87ac09e7aa0536c385afb9ae9b0c4ff7e737e2e6","observation_id":"a514ade4-4259-4237-bbc8-175bab0d7bbb","resolution":{"observed_at":"2026-08-12T11:17:15.113037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.096570Z","title":null,"venue":null,"work_id":"da99c676-a437-405b-830b-ec7a4115c2f7","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.766884Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:51ec287926a660ae734ab055fc45d420ef1d55f33c384507271c6c454d4238bc","observation_id":"c5f0e63c-057f-4438-85d0-aeb0432e04f6","resolution":{"observed_at":"2026-08-12T11:17:15.101055Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.082660Z","title":"Denote ζ ≜ j d∗− ˆd∗ 0 s k","venue":null,"work_id":"beca8500-e6b9-4b95-931c-698225b338c9","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.770868Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:00cb64791bad8ab3188d48711276ac48da5c1797da61644f6db761b8bb811a11","observation_id":"e8d69e2e-aa6c-4281-8213-c801a273b881","resolution":{"observed_at":"2026-08-12T11:17:15.087945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.068779Z","title":null,"venue":null,"work_id":"67cef8ef-f34e-4913-aef8-17eab4f08ee6","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.774455Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:9af8b16be8da66100f632dc155dc13463ba07047a661fc506cf0359c0b5a669a","observation_id":"690b5d01-101a-4516-ad30-79547ef5c3ae","resolution":{"observed_at":"2026-08-12T11:17:15.073373Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.053465Z","title":"When log I < d∗ − ˆd∗ 0 < I, we can easily get that ΠMQM,g ≥ log   j s I k  1 + τ I− 2s · log I τ I+ 2s d∗ + ˆd∗ 1 − 2   log I  ","venue":null,"work_id":"520f7475-63af-47de-a3e4-576996322905","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.778991Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:9acf400759390e6163640fc4faa88784626482dcbe8299f6286550ce7088efa4","observation_id":"fbd37554-e589-4f48-b253-c7ed0ee662e0","resolution":{"observed_at":"2026-08-12T11:17:15.059026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.039093Z","title":"Denote ζ ≜ j d∗− ˆd∗ 0 I k","venue":null,"work_id":"67078408-cbdd-4466-97c6-aebb1ec60afa","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.783659Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:070e94755241c2645895d8b0c19d336041cab6ad0f82bbd2b418736c3909d465","observation_id":"280af0f0-8114-49a8-83c4-c60dd90109cb","resolution":{"observed_at":"2026-08-12T11:17:15.044557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.024401Z","title":null,"venue":null,"work_id":"af8e69b1-e7c6-4916-95c3-c438453e86fa","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.788183Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:ac09da574324a50661cc4bc3cc54aebd2751519b30ee5291d1fc00ed5129a4e6","observation_id":"99564706-a8f4-4bce-92d2-39e154fb2019","resolution":{"observed_at":"2026-08-12T11:17:15.029077Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:15.005715Z","title":null,"venue":null,"work_id":"45d89531-59ff-416a-9ab6-cc901ce2504a","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.792234Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:ed9411cae0dd1b6b45826d00ba10f60d2db6a6803bf2e79604b6c96d967f9121","observation_id":"578e57d1-028b-4120-a716-e4492ff23217","resolution":{"observed_at":"2026-08-12T11:17:15.011610Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:14.991573Z","title":"4, we can bound the distortion of Quantization Mechanism as 1 2 + ˆd∗ 0 + ˆd∗ 1 I 2 − τ 2τ ˆd∗ 0 + ˆd∗ 1 − 1 ≤ ∆MQM ≤ 1 2 + d∗ + ˆd∗ 1 I 2 − τ 2τ d∗ + ˆd∗ 1 − 1","venue":null,"work_id":"e38cedf7-d8cb-40a2-8c01-b1a29d14b1d8","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.796676Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:cb0d87fce70a4418994af6d5a255e32d1b9b82bc432c651d753d4453ca374022","observation_id":"a331f91f-805b-487b-98a8-e97fa2cadcaf","resolution":{"observed_at":"2026-08-12T11:17:14.995619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:14.978366Z","title":null,"venue":null,"work_id":"268f079a-65a2-4cca-ada2-d9d38a4ec9c0","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.801287Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:6a2656da2bdcef3e4f0eb487cc3f1047eb5572411046fed31f417c70c06a9f0e","observation_id":"137679a0-56ed-4b97-908e-a3fca3b45ce6","resolution":{"observed_at":"2026-08-12T11:17:14.983290Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:14.951888Z","title":"We analyze the connections between those privacy measures in Prop","venue":null,"work_id":"107215d6-1198-4937-9abb-c81a90a548c2","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.809349Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:d37a1d5946a5bb74110541a19199f82c69ca46024064559f71c40d9fef311896","observation_id":"cf51c7ee-46d6-41c8-bcd9-e7840d0e36ae","resolution":{"observed_at":"2026-08-12T11:17:14.956197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:14.965455Z","title":null,"venue":null,"work_id":"bd793998-6ef7-49ce-aabc-3effa8c2e439","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.813528Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:164b406d27ec9d537f636d27cf2d955a68d08e5a935b5882180c96194cb596e7","observation_id":"8b2d2d2b-23d5-4e3b-bca1-455a2f7b4926","resolution":{"observed_at":"2026-08-12T11:17:14.969628Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:17:14.937723Z","title":"(10) From Prop","venue":null,"work_id":"d98050c2-4931-4cd4-bae1-58573e3670f6","year":null},"citing_paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-12T11:17:14.817289Z"},"links":{"citing_paper":"/paper/2411.18531"},"observation_digest":"sha256:05fecb35a9843bf7b7c05fe28fe24d4e6389924a428613bccba630d8929b50f4","observation_id":"327f8c02-40a1-4711-ac20-6a4f78f81f03","resolution":{"observed_at":"2026-08-12T11:17:14.942682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.18531","last_updated":"2024-11-27T17:24:17Z","latest_version":1,"primary_category":"cs.IT","snapshot_observed_at":"2026-08-12T11:04:31.155385Z","submitted_at":"2024-11-27T17:24:17Z","title":"Statistic Maximal Leakage"},"reference_resolution":{"displayed":87,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":17,"verified_exact":3,"verified_fuzzy":65},"total_outbound_references":87},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2411.18531."}