{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:G5ES4IPB7YAJBLX66LKTAHYQI4","short_pith_number":"pith:G5ES4IPB","schema_version":"1.0","canonical_sha256":"37492e21e1fe0090aefef2d5301f104728dbbc304f4754f3c509a5bd1c86a6b7","source":{"kind":"arxiv","id":"2206.07220","version":1},"attestation_state":"computed","paper":{"title":"Towards Verifiable Differentially-Private Polling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Gonzalo Munilla Garrido, Johannes Sedlmeir, Matthias Babel","submitted_at":"2022-06-15T00:26:59Z","abstract_excerpt":"Analyses that fulfill differential privacy provide plausible deniability to individuals while allowing analysts to extract insights from data. However, beyond an often acceptable accuracy tradeoff, these statistical disclosure techniques generally inhibit the verifiability of the provided information, as one cannot check the correctness of the participants' truthful information, the differentially private mechanism, or the unbiased random number generation. While related work has already discussed this opportunity, an efficient implementation with a precise bound on errors and corresponding pr"},"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":"2206.07220","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2022-06-15T00:26:59Z","cross_cats_sorted":[],"title_canon_sha256":"295441131379d06ecf0a1f5b30de41a7251416562bed4033d172f02be9d33dc7","abstract_canon_sha256":"60151844155501dec0342235d57e5d037856042351e175d6db2e10f12121ed04"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:32:02.403583Z","signature_b64":"EBeq1r7J0cHdUAtqGvwHXI4Lesixm6NhBIBch9a7QvaxE56C1ZdCOITDvjIqBj/oa7xCW4I4/9psffyNlqqGBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37492e21e1fe0090aefef2d5301f104728dbbc304f4754f3c509a5bd1c86a6b7","last_reissued_at":"2026-07-05T04:32:02.403148Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:32:02.403148Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards Verifiable Differentially-Private Polling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Gonzalo Munilla Garrido, Johannes Sedlmeir, Matthias Babel","submitted_at":"2022-06-15T00:26:59Z","abstract_excerpt":"Analyses that fulfill differential privacy provide plausible deniability to individuals while allowing analysts to extract insights from data. However, beyond an often acceptable accuracy tradeoff, these statistical disclosure techniques generally inhibit the verifiability of the provided information, as one cannot check the correctness of the participants' truthful information, the differentially private mechanism, or the unbiased random number generation. While related work has already discussed this opportunity, an efficient implementation with a precise bound on errors and corresponding pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.07220","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/2206.07220/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":"2206.07220","created_at":"2026-07-05T04:32:02.403205+00:00"},{"alias_kind":"arxiv_version","alias_value":"2206.07220v1","created_at":"2026-07-05T04:32:02.403205+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.07220","created_at":"2026-07-05T04:32:02.403205+00:00"},{"alias_kind":"pith_short_12","alias_value":"G5ES4IPB7YAJ","created_at":"2026-07-05T04:32:02.403205+00:00"},{"alias_kind":"pith_short_16","alias_value":"G5ES4IPB7YAJBLX6","created_at":"2026-07-05T04:32:02.403205+00:00"},{"alias_kind":"pith_short_8","alias_value":"G5ES4IPB","created_at":"2026-07-05T04:32:02.403205+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/G5ES4IPB7YAJBLX66LKTAHYQI4","json":"https://pith.science/pith/G5ES4IPB7YAJBLX66LKTAHYQI4.json","graph_json":"https://pith.science/api/pith-number/G5ES4IPB7YAJBLX66LKTAHYQI4/graph.json","events_json":"https://pith.science/api/pith-number/G5ES4IPB7YAJBLX66LKTAHYQI4/events.json","paper":"https://pith.science/paper/G5ES4IPB"},"agent_actions":{"view_html":"https://pith.science/pith/G5ES4IPB7YAJBLX66LKTAHYQI4","download_json":"https://pith.science/pith/G5ES4IPB7YAJBLX66LKTAHYQI4.json","view_paper":"https://pith.science/paper/G5ES4IPB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2206.07220&json=true","fetch_graph":"https://pith.science/api/pith-number/G5ES4IPB7YAJBLX66LKTAHYQI4/graph.json","fetch_events":"https://pith.science/api/pith-number/G5ES4IPB7YAJBLX66LKTAHYQI4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/G5ES4IPB7YAJBLX66LKTAHYQI4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/G5ES4IPB7YAJBLX66LKTAHYQI4/action/storage_attestation","attest_author":"https://pith.science/pith/G5ES4IPB7YAJBLX66LKTAHYQI4/action/author_attestation","sign_citation":"https://pith.science/pith/G5ES4IPB7YAJBLX66LKTAHYQI4/action/citation_signature","submit_replication":"https://pith.science/pith/G5ES4IPB7YAJBLX66LKTAHYQI4/action/replication_record"}},"created_at":"2026-07-05T04:32:02.403205+00:00","updated_at":"2026-07-05T04:32:02.403205+00:00"}