{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:TWAVZDLIUI6SGGXYDVZ3SFS3IM","short_pith_number":"pith:TWAVZDLI","schema_version":"1.0","canonical_sha256":"9d815c8d68a23d231af81d73b9165b431e14c214ab46f4586b832fbfa7cafd1f","source":{"kind":"arxiv","id":"1808.02271","version":1},"attestation_state":"computed","paper":{"title":"Privacy-aware Minimum Error Probability Estimation: An Entropy Constrained Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Ehsan Nekouei, Henrik Sandberg, Karl H. Johansson, Mikael Skoglund","submitted_at":"2018-08-07T09:14:21Z","abstract_excerpt":"This paper studies the design of an optimal privacyaware estimator of a public random variable based on noisy measurements which contain private information. The public random variable carries non-private information, however, its estimate will be correlated with the private information due to the estimation process. It is assumed that the estimate of the public random variable is revealed to an untrusted party. The objective is to design an estimator for the public random variable such that the leakage of the private information, via the estimation process, is kept below a certain level. The "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1808.02271","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2018-08-07T09:14:21Z","cross_cats_sorted":[],"title_canon_sha256":"f269f3e0505ec76aba16d60e7e15cd308f4952082ba4b50e8de85d7a97cfda64","abstract_canon_sha256":"bcdae481efc0dbc58284200069f97f642763caf7eb292608dde108e649ad5eef"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:08:47.037429Z","signature_b64":"Gb2SKRNWMim5wJ45RfJWDld/e6SCO8fhhVqgoJRRgXEL+nuNnIGaHq3+ICjprWEWpTuAKKNIv14TkWhAP9WdCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9d815c8d68a23d231af81d73b9165b431e14c214ab46f4586b832fbfa7cafd1f","last_reissued_at":"2026-05-18T00:08:47.036829Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:08:47.036829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Privacy-aware Minimum Error Probability Estimation: An Entropy Constrained Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Ehsan Nekouei, Henrik Sandberg, Karl H. Johansson, Mikael Skoglund","submitted_at":"2018-08-07T09:14:21Z","abstract_excerpt":"This paper studies the design of an optimal privacyaware estimator of a public random variable based on noisy measurements which contain private information. The public random variable carries non-private information, however, its estimate will be correlated with the private information due to the estimation process. It is assumed that the estimate of the public random variable is revealed to an untrusted party. The objective is to design an estimator for the public random variable such that the leakage of the private information, via the estimation process, is kept below a certain level. The "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.02271","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1808.02271","created_at":"2026-05-18T00:08:47.036915+00:00"},{"alias_kind":"arxiv_version","alias_value":"1808.02271v1","created_at":"2026-05-18T00:08:47.036915+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.02271","created_at":"2026-05-18T00:08:47.036915+00:00"},{"alias_kind":"pith_short_12","alias_value":"TWAVZDLIUI6S","created_at":"2026-05-18T12:32:56.356000+00:00"},{"alias_kind":"pith_short_16","alias_value":"TWAVZDLIUI6SGGXY","created_at":"2026-05-18T12:32:56.356000+00:00"},{"alias_kind":"pith_short_8","alias_value":"TWAVZDLI","created_at":"2026-05-18T12:32:56.356000+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TWAVZDLIUI6SGGXYDVZ3SFS3IM","json":"https://pith.science/pith/TWAVZDLIUI6SGGXYDVZ3SFS3IM.json","graph_json":"https://pith.science/api/pith-number/TWAVZDLIUI6SGGXYDVZ3SFS3IM/graph.json","events_json":"https://pith.science/api/pith-number/TWAVZDLIUI6SGGXYDVZ3SFS3IM/events.json","paper":"https://pith.science/paper/TWAVZDLI"},"agent_actions":{"view_html":"https://pith.science/pith/TWAVZDLIUI6SGGXYDVZ3SFS3IM","download_json":"https://pith.science/pith/TWAVZDLIUI6SGGXYDVZ3SFS3IM.json","view_paper":"https://pith.science/paper/TWAVZDLI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1808.02271&json=true","fetch_graph":"https://pith.science/api/pith-number/TWAVZDLIUI6SGGXYDVZ3SFS3IM/graph.json","fetch_events":"https://pith.science/api/pith-number/TWAVZDLIUI6SGGXYDVZ3SFS3IM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TWAVZDLIUI6SGGXYDVZ3SFS3IM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TWAVZDLIUI6SGGXYDVZ3SFS3IM/action/storage_attestation","attest_author":"https://pith.science/pith/TWAVZDLIUI6SGGXYDVZ3SFS3IM/action/author_attestation","sign_citation":"https://pith.science/pith/TWAVZDLIUI6SGGXYDVZ3SFS3IM/action/citation_signature","submit_replication":"https://pith.science/pith/TWAVZDLIUI6SGGXYDVZ3SFS3IM/action/replication_record"}},"created_at":"2026-05-18T00:08:47.036915+00:00","updated_at":"2026-05-18T00:08:47.036915+00:00"}