{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:W7L7WIHMOZOEP3P5YFBULBTE5R","short_pith_number":"pith:W7L7WIHM","schema_version":"1.0","canonical_sha256":"b7d7fb20ec765c47edfdc143458664ec7a9f7fbedd2bedaea1f3022a5b9b9e39","source":{"kind":"arxiv","id":"1411.6148","version":1},"attestation_state":"computed","paper":{"title":"Bayesian Mechanism Design with Efficiency, Privacy, and Approximate Truthfulness","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GT","authors_text":"Edward Lui, Samantha Leung","submitted_at":"2014-11-22T17:36:26Z","abstract_excerpt":"Recently, there has been a number of papers relating mechanism design and privacy (e.g., see \\cite{MT07,Xia11,CCKMV11,NST12,NOS12,HK12}). All of these papers consider a worst-case setting where there is no probabilistic information about the players' types. In this paper, we investigate mechanism design and privacy in the \\emph{Bayesian} setting, where the players' types are drawn from some common distribution. We adapt the notion of \\emph{differential privacy} to the Bayesian mechanism design setting, obtaining \\emph{Bayesian differential privacy}. We also define a robust notion of approximat"},"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":"1411.6148","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2014-11-22T17:36:26Z","cross_cats_sorted":[],"title_canon_sha256":"db1ae68c59111c029eaa747ed80454b8ae9cdb6be8b04a5da566bac79d35c336","abstract_canon_sha256":"11e18db3b1fe8968c3ac647146498c92b31d5232641d635b7e5a52d3887ddb8c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:33:00.611159Z","signature_b64":"3KoPVyJhMNNyyPsLzwdSL1iF/P1/pGeOu7GanOsKUCEpRYMc1w4NH3OPgCpLyTzTAtXHUViNyjb4O1+WsJFXAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b7d7fb20ec765c47edfdc143458664ec7a9f7fbedd2bedaea1f3022a5b9b9e39","last_reissued_at":"2026-05-18T02:33:00.610816Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:33:00.610816Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bayesian Mechanism Design with Efficiency, Privacy, and Approximate Truthfulness","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GT","authors_text":"Edward Lui, Samantha Leung","submitted_at":"2014-11-22T17:36:26Z","abstract_excerpt":"Recently, there has been a number of papers relating mechanism design and privacy (e.g., see \\cite{MT07,Xia11,CCKMV11,NST12,NOS12,HK12}). All of these papers consider a worst-case setting where there is no probabilistic information about the players' types. In this paper, we investigate mechanism design and privacy in the \\emph{Bayesian} setting, where the players' types are drawn from some common distribution. We adapt the notion of \\emph{differential privacy} to the Bayesian mechanism design setting, obtaining \\emph{Bayesian differential privacy}. We also define a robust notion of approximat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.6148","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":"1411.6148","created_at":"2026-05-18T02:33:00.610875+00:00"},{"alias_kind":"arxiv_version","alias_value":"1411.6148v1","created_at":"2026-05-18T02:33:00.610875+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.6148","created_at":"2026-05-18T02:33:00.610875+00:00"},{"alias_kind":"pith_short_12","alias_value":"W7L7WIHMOZOE","created_at":"2026-05-18T12:28:54.890064+00:00"},{"alias_kind":"pith_short_16","alias_value":"W7L7WIHMOZOEP3P5","created_at":"2026-05-18T12:28:54.890064+00:00"},{"alias_kind":"pith_short_8","alias_value":"W7L7WIHM","created_at":"2026-05-18T12:28:54.890064+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/W7L7WIHMOZOEP3P5YFBULBTE5R","json":"https://pith.science/pith/W7L7WIHMOZOEP3P5YFBULBTE5R.json","graph_json":"https://pith.science/api/pith-number/W7L7WIHMOZOEP3P5YFBULBTE5R/graph.json","events_json":"https://pith.science/api/pith-number/W7L7WIHMOZOEP3P5YFBULBTE5R/events.json","paper":"https://pith.science/paper/W7L7WIHM"},"agent_actions":{"view_html":"https://pith.science/pith/W7L7WIHMOZOEP3P5YFBULBTE5R","download_json":"https://pith.science/pith/W7L7WIHMOZOEP3P5YFBULBTE5R.json","view_paper":"https://pith.science/paper/W7L7WIHM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1411.6148&json=true","fetch_graph":"https://pith.science/api/pith-number/W7L7WIHMOZOEP3P5YFBULBTE5R/graph.json","fetch_events":"https://pith.science/api/pith-number/W7L7WIHMOZOEP3P5YFBULBTE5R/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/W7L7WIHMOZOEP3P5YFBULBTE5R/action/timestamp_anchor","attest_storage":"https://pith.science/pith/W7L7WIHMOZOEP3P5YFBULBTE5R/action/storage_attestation","attest_author":"https://pith.science/pith/W7L7WIHMOZOEP3P5YFBULBTE5R/action/author_attestation","sign_citation":"https://pith.science/pith/W7L7WIHMOZOEP3P5YFBULBTE5R/action/citation_signature","submit_replication":"https://pith.science/pith/W7L7WIHMOZOEP3P5YFBULBTE5R/action/replication_record"}},"created_at":"2026-05-18T02:33:00.610875+00:00","updated_at":"2026-05-18T02:33:00.610875+00:00"}