{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:7R4PF6RWRIUJQYVOBWFR5SMPFC","short_pith_number":"pith:7R4PF6RW","canonical_record":{"source":{"id":"1203.3453","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2012-03-15T19:45:04Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"1f4fe77506f535d2399a91915e78b25286ded1fdf3452110e62842c3a7925803","abstract_canon_sha256":"5cc4513375e4b7a022afa598421c444ea0cbcf7ae6eab4995a6b25eabde2820e"},"schema_version":"1.0"},"canonical_sha256":"fc78f2fa368a289862ae0d8b1ec98f28a78ab12d0b0a383af32c20b7a1e4e542","source":{"kind":"arxiv","id":"1203.3453","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.3453","created_at":"2026-05-18T02:21:17Z"},{"alias_kind":"arxiv_version","alias_value":"1203.3453v5","created_at":"2026-05-18T02:21:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.3453","created_at":"2026-05-18T02:21:17Z"},{"alias_kind":"pith_short_12","alias_value":"7R4PF6RWRIUJ","created_at":"2026-05-18T12:26:58Z"},{"alias_kind":"pith_short_16","alias_value":"7R4PF6RWRIUJQYVO","created_at":"2026-05-18T12:26:58Z"},{"alias_kind":"pith_short_8","alias_value":"7R4PF6RW","created_at":"2026-05-18T12:26:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:7R4PF6RWRIUJQYVOBWFR5SMPFC","target":"record","payload":{"canonical_record":{"source":{"id":"1203.3453","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2012-03-15T19:45:04Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"1f4fe77506f535d2399a91915e78b25286ded1fdf3452110e62842c3a7925803","abstract_canon_sha256":"5cc4513375e4b7a022afa598421c444ea0cbcf7ae6eab4995a6b25eabde2820e"},"schema_version":"1.0"},"canonical_sha256":"fc78f2fa368a289862ae0d8b1ec98f28a78ab12d0b0a383af32c20b7a1e4e542","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:21:17.043505Z","signature_b64":"5UTA7u22mq4pzQPAsBEOWQ7YFYoQwxtSE/aTWlDnnzStT5quUaajsgMTZS0C8cd25umi67F4WrT5JuH8LGSOBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fc78f2fa368a289862ae0d8b1ec98f28a78ab12d0b0a383af32c20b7a1e4e542","last_reissued_at":"2026-05-18T02:21:17.042974Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:21:17.042974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1203.3453","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:21:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bmyl06q6H45+H2P1eYXo/KvhgWi59we+C7FpmW4QSiU+y587rafbUvRvznXfGnywPrZFmxbDeLEl0t82Ra/RAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T15:45:43.448078Z"},"content_sha256":"94945a39d4ebfe57b5fb05127cdd6f596c07688377d20c92c2f1c068ec26ba57","schema_version":"1.0","event_id":"sha256:94945a39d4ebfe57b5fb05127cdd6f596c07688377d20c92c2f1c068ec26ba57"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:7R4PF6RWRIUJQYVOBWFR5SMPFC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Calibrating Data to Sensitivity in Private Data Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"cs.CR","authors_text":"Davide Proserpio, Frank McSherry, Sharon Goldberg","submitted_at":"2012-03-15T19:45:04Z","abstract_excerpt":"We present an approach to differentially private computation in which one does not scale up the magnitude of noise for challenging queries, but rather scales down the contributions of challenging records. While scaling down all records uniformly is equivalent to scaling up the noise magnitude, we show that scaling records non-uniformly can result in substantially higher accuracy by bypassing the worst-case requirements of differential privacy for the noise magnitudes. This paper details the data analysis platform wPINQ, which generalizes the Privacy Integrated Query (PINQ) to weighted datasets"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.3453","kind":"arxiv","version":5},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:21:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jI8cykUdUXYbGufkiZroeCI1I2siCORZj59h0AD03MjdSMQI05Cf0jw90EB11m+Vu6oKoqKQG/if0jPQoKvqAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T15:45:43.448451Z"},"content_sha256":"c5b1d44e275ea0d04e89586fe93e703897648d461c5fcb06819a4830eb6c3e05","schema_version":"1.0","event_id":"sha256:c5b1d44e275ea0d04e89586fe93e703897648d461c5fcb06819a4830eb6c3e05"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7R4PF6RWRIUJQYVOBWFR5SMPFC/bundle.json","state_url":"https://pith.science/pith/7R4PF6RWRIUJQYVOBWFR5SMPFC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7R4PF6RWRIUJQYVOBWFR5SMPFC/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-05T15:45:43Z","links":{"resolver":"https://pith.science/pith/7R4PF6RWRIUJQYVOBWFR5SMPFC","bundle":"https://pith.science/pith/7R4PF6RWRIUJQYVOBWFR5SMPFC/bundle.json","state":"https://pith.science/pith/7R4PF6RWRIUJQYVOBWFR5SMPFC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7R4PF6RWRIUJQYVOBWFR5SMPFC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:7R4PF6RWRIUJQYVOBWFR5SMPFC","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"5cc4513375e4b7a022afa598421c444ea0cbcf7ae6eab4995a6b25eabde2820e","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2012-03-15T19:45:04Z","title_canon_sha256":"1f4fe77506f535d2399a91915e78b25286ded1fdf3452110e62842c3a7925803"},"schema_version":"1.0","source":{"id":"1203.3453","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.3453","created_at":"2026-05-18T02:21:17Z"},{"alias_kind":"arxiv_version","alias_value":"1203.3453v5","created_at":"2026-05-18T02:21:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.3453","created_at":"2026-05-18T02:21:17Z"},{"alias_kind":"pith_short_12","alias_value":"7R4PF6RWRIUJ","created_at":"2026-05-18T12:26:58Z"},{"alias_kind":"pith_short_16","alias_value":"7R4PF6RWRIUJQYVO","created_at":"2026-05-18T12:26:58Z"},{"alias_kind":"pith_short_8","alias_value":"7R4PF6RW","created_at":"2026-05-18T12:26:58Z"}],"graph_snapshots":[{"event_id":"sha256:c5b1d44e275ea0d04e89586fe93e703897648d461c5fcb06819a4830eb6c3e05","target":"graph","created_at":"2026-05-18T02:21:17Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"We present an approach to differentially private computation in which one does not scale up the magnitude of noise for challenging queries, but rather scales down the contributions of challenging records. While scaling down all records uniformly is equivalent to scaling up the noise magnitude, we show that scaling records non-uniformly can result in substantially higher accuracy by bypassing the worst-case requirements of differential privacy for the noise magnitudes. This paper details the data analysis platform wPINQ, which generalizes the Privacy Integrated Query (PINQ) to weighted datasets","authors_text":"Davide Proserpio, Frank McSherry, Sharon Goldberg","cross_cats":["cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2012-03-15T19:45:04Z","title":"Calibrating Data to Sensitivity in Private Data Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.3453","kind":"arxiv","version":5},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:94945a39d4ebfe57b5fb05127cdd6f596c07688377d20c92c2f1c068ec26ba57","target":"record","created_at":"2026-05-18T02:21:17Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"5cc4513375e4b7a022afa598421c444ea0cbcf7ae6eab4995a6b25eabde2820e","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2012-03-15T19:45:04Z","title_canon_sha256":"1f4fe77506f535d2399a91915e78b25286ded1fdf3452110e62842c3a7925803"},"schema_version":"1.0","source":{"id":"1203.3453","kind":"arxiv","version":5}},"canonical_sha256":"fc78f2fa368a289862ae0d8b1ec98f28a78ab12d0b0a383af32c20b7a1e4e542","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc78f2fa368a289862ae0d8b1ec98f28a78ab12d0b0a383af32c20b7a1e4e542","first_computed_at":"2026-05-18T02:21:17.042974Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:21:17.042974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5UTA7u22mq4pzQPAsBEOWQ7YFYoQwxtSE/aTWlDnnzStT5quUaajsgMTZS0C8cd25umi67F4WrT5JuH8LGSOBg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:21:17.043505Z","signed_message":"canonical_sha256_bytes"},"source_id":"1203.3453","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:94945a39d4ebfe57b5fb05127cdd6f596c07688377d20c92c2f1c068ec26ba57","sha256:c5b1d44e275ea0d04e89586fe93e703897648d461c5fcb06819a4830eb6c3e05"],"state_sha256":"16bb26b4e6efa3a84d33296084adcacfcd9e787f7e0d560b9a624bb52a912edf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9fV5YZikNL+vbYzjVh0F8zglOhHtE4HQgIuQJX+RjL/5V4aZvxMd1OqGhTD4UdIwlFd6GOuAwFnj+3Ym/jldCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T15:45:43.450861Z","bundle_sha256":"b04c23fa3b66aebaa816b62e871f1148e3630a721fea9b2c5a0c4e1b57e22db6"}}