{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:MZ5JXU4NTRPGMOLTJAO3GLYYMN","short_pith_number":"pith:MZ5JXU4N","schema_version":"1.0","canonical_sha256":"667a9bd38d9c5e663973481db32f186341572395b495bdb686c1c4c9931af663","source":{"kind":"arxiv","id":"2202.03388","version":1},"attestation_state":"computed","paper":{"title":"Distributed Differentially Private Ranking Aggregation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Baobao Song, Gang Li, Qiujun Lan, Yang Li","submitted_at":"2022-02-07T18:20:21Z","abstract_excerpt":"Ranking aggregation is commonly adopted in cooperative decision-making to assist in combining multiple rankings into a single representative. To protect the actual ranking of each individual, some privacy-preserving strategies, such as differential privacy, are often used. This, however, does not consider the scenario where the curator, who collects all rankings from individuals, is untrustworthy. This paper proposed a mechanism to solve the above situation using the distribute differential privacy framework. The proposed mechanism collects locally differential private rankings from individual"},"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":"2202.03388","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2022-02-07T18:20:21Z","cross_cats_sorted":[],"title_canon_sha256":"dcd30001caaf70708eb1784977621e49a49442a7a759655c6e7ce9ad89e488ef","abstract_canon_sha256":"b4e4f1366e2f1287cb764569ecbc4ce56399cd139b8bc7f9f6c7a96e54c7906d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:54:38.408432Z","signature_b64":"5owZNcM1I3FEDS1sI8oyQ/1+nEREJgz1R3hZwZH+AkWaQYkl43/m3Nj3lhwcN0kConIa0poNcKUNEa6W/ceLCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"667a9bd38d9c5e663973481db32f186341572395b495bdb686c1c4c9931af663","last_reissued_at":"2026-07-05T03:54:38.408088Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:54:38.408088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Distributed Differentially Private Ranking Aggregation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Baobao Song, Gang Li, Qiujun Lan, Yang Li","submitted_at":"2022-02-07T18:20:21Z","abstract_excerpt":"Ranking aggregation is commonly adopted in cooperative decision-making to assist in combining multiple rankings into a single representative. To protect the actual ranking of each individual, some privacy-preserving strategies, such as differential privacy, are often used. This, however, does not consider the scenario where the curator, who collects all rankings from individuals, is untrustworthy. This paper proposed a mechanism to solve the above situation using the distribute differential privacy framework. The proposed mechanism collects locally differential private rankings from individual"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.03388","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2202.03388/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2202.03388","created_at":"2026-07-05T03:54:38.408140+00:00"},{"alias_kind":"arxiv_version","alias_value":"2202.03388v1","created_at":"2026-07-05T03:54:38.408140+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.03388","created_at":"2026-07-05T03:54:38.408140+00:00"},{"alias_kind":"pith_short_12","alias_value":"MZ5JXU4NTRPG","created_at":"2026-07-05T03:54:38.408140+00:00"},{"alias_kind":"pith_short_16","alias_value":"MZ5JXU4NTRPGMOLT","created_at":"2026-07-05T03:54:38.408140+00:00"},{"alias_kind":"pith_short_8","alias_value":"MZ5JXU4N","created_at":"2026-07-05T03:54:38.408140+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2507.09388","citing_title":"Optimal Differentially Private Ranking from Pairwise Comparisons","ref_index":47,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/MZ5JXU4NTRPGMOLTJAO3GLYYMN","json":"https://pith.science/pith/MZ5JXU4NTRPGMOLTJAO3GLYYMN.json","graph_json":"https://pith.science/api/pith-number/MZ5JXU4NTRPGMOLTJAO3GLYYMN/graph.json","events_json":"https://pith.science/api/pith-number/MZ5JXU4NTRPGMOLTJAO3GLYYMN/events.json","paper":"https://pith.science/paper/MZ5JXU4N"},"agent_actions":{"view_html":"https://pith.science/pith/MZ5JXU4NTRPGMOLTJAO3GLYYMN","download_json":"https://pith.science/pith/MZ5JXU4NTRPGMOLTJAO3GLYYMN.json","view_paper":"https://pith.science/paper/MZ5JXU4N","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2202.03388&json=true","fetch_graph":"https://pith.science/api/pith-number/MZ5JXU4NTRPGMOLTJAO3GLYYMN/graph.json","fetch_events":"https://pith.science/api/pith-number/MZ5JXU4NTRPGMOLTJAO3GLYYMN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MZ5JXU4NTRPGMOLTJAO3GLYYMN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MZ5JXU4NTRPGMOLTJAO3GLYYMN/action/storage_attestation","attest_author":"https://pith.science/pith/MZ5JXU4NTRPGMOLTJAO3GLYYMN/action/author_attestation","sign_citation":"https://pith.science/pith/MZ5JXU4NTRPGMOLTJAO3GLYYMN/action/citation_signature","submit_replication":"https://pith.science/pith/MZ5JXU4NTRPGMOLTJAO3GLYYMN/action/replication_record"}},"created_at":"2026-07-05T03:54:38.408140+00:00","updated_at":"2026-07-05T03:54:38.408140+00:00"}