{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:WP6BQISHDUGJOPQQCKTOTSFXPJ","short_pith_number":"pith:WP6BQISH","canonical_record":{"source":{"id":"1207.6096","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2012-07-25T19:31:18Z","cross_cats_sorted":[],"title_canon_sha256":"1dcdc868735c270fea5032e4a87c91695d90d66eb1032cb6a77febad79543fab","abstract_canon_sha256":"aff9488959c6a782a63fff11f933075ceeb482f4f2c134ad8a35d719566c4ff8"},"schema_version":"1.0"},"canonical_sha256":"b3fc1822471d0c973e1012a6e9c8b77a5d1cee2923b55bda2dc4db1f13cf9c29","source":{"kind":"arxiv","id":"1207.6096","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1207.6096","created_at":"2026-05-18T03:50:09Z"},{"alias_kind":"arxiv_version","alias_value":"1207.6096v1","created_at":"2026-05-18T03:50:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1207.6096","created_at":"2026-05-18T03:50:09Z"},{"alias_kind":"pith_short_12","alias_value":"WP6BQISHDUGJ","created_at":"2026-05-18T12:27:25Z"},{"alias_kind":"pith_short_16","alias_value":"WP6BQISHDUGJOPQQ","created_at":"2026-05-18T12:27:25Z"},{"alias_kind":"pith_short_8","alias_value":"WP6BQISH","created_at":"2026-05-18T12:27:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:WP6BQISHDUGJOPQQCKTOTSFXPJ","target":"record","payload":{"canonical_record":{"source":{"id":"1207.6096","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2012-07-25T19:31:18Z","cross_cats_sorted":[],"title_canon_sha256":"1dcdc868735c270fea5032e4a87c91695d90d66eb1032cb6a77febad79543fab","abstract_canon_sha256":"aff9488959c6a782a63fff11f933075ceeb482f4f2c134ad8a35d719566c4ff8"},"schema_version":"1.0"},"canonical_sha256":"b3fc1822471d0c973e1012a6e9c8b77a5d1cee2923b55bda2dc4db1f13cf9c29","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:50:09.517630Z","signature_b64":"mU/7l9XVb5KCl5vIPBobkMtS16jr43Ijt0z60DyaWW8XCfeK63Bui0PUY9yDUQRUFrCqiimjGrVtsxFlKy6XDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3fc1822471d0c973e1012a6e9c8b77a5d1cee2923b55bda2dc4db1f13cf9c29","last_reissued_at":"2026-05-18T03:50:09.516778Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:50:09.516778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1207.6096","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:50:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v986DMYyleUMhXm7g9E902VbC6ETBPJ5Paaoh/wEcTFFUqHGKgK8dh7yAJV102Z+HBilJhGCzdpNJgKUx92mAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T20:43:40.865004Z"},"content_sha256":"788b7813be547ffc4f9d8f67f9de257f6e41d20f3a9da3238c2479e98d414599","schema_version":"1.0","event_id":"sha256:788b7813be547ffc4f9d8f67f9de257f6e41d20f3a9da3238c2479e98d414599"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:WP6BQISHDUGJOPQQCKTOTSFXPJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Accurate and Efficient Private Release of Datacubes and Contingency Tables","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Cecilia M. Procopiuc, Divesh Srivastava, Graham Cormode, Grigory Yaroslavtsev","submitted_at":"2012-07-25T19:31:18Z","abstract_excerpt":"A central problem in releasing aggregate information about sensitive data is to do so accurately while providing a privacy guarantee on the output. Recent work focuses on the class of linear queries, which include basic counting queries, data cubes, and contingency tables. The goal is to maximize the utility of their output, while giving a rigorous privacy guarantee. Most results follow a common template: pick a \"strategy\" set of linear queries to apply to the data, then use the noisy answers to these queries to reconstruct the queries of interest. This entails either picking a strategy set th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1207.6096","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:50:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hWTIwZf7xrLLQRcqi/044VBuchpdlOqlB4ksBdD4dV+YNTx07ogw5p5mwcmsnPuU2uxH3qWs7PK1MLhleXa3Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T20:43:40.865750Z"},"content_sha256":"943baf10db4f273e0f3642daf143d82f5721f5c981c4a3ea2edcfa4098af757e","schema_version":"1.0","event_id":"sha256:943baf10db4f273e0f3642daf143d82f5721f5c981c4a3ea2edcfa4098af757e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WP6BQISHDUGJOPQQCKTOTSFXPJ/bundle.json","state_url":"https://pith.science/pith/WP6BQISHDUGJOPQQCKTOTSFXPJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WP6BQISHDUGJOPQQCKTOTSFXPJ/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":"2026-05-27T20:43:40Z","links":{"resolver":"https://pith.science/pith/WP6BQISHDUGJOPQQCKTOTSFXPJ","bundle":"https://pith.science/pith/WP6BQISHDUGJOPQQCKTOTSFXPJ/bundle.json","state":"https://pith.science/pith/WP6BQISHDUGJOPQQCKTOTSFXPJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WP6BQISHDUGJOPQQCKTOTSFXPJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:WP6BQISHDUGJOPQQCKTOTSFXPJ","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":"aff9488959c6a782a63fff11f933075ceeb482f4f2c134ad8a35d719566c4ff8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2012-07-25T19:31:18Z","title_canon_sha256":"1dcdc868735c270fea5032e4a87c91695d90d66eb1032cb6a77febad79543fab"},"schema_version":"1.0","source":{"id":"1207.6096","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1207.6096","created_at":"2026-05-18T03:50:09Z"},{"alias_kind":"arxiv_version","alias_value":"1207.6096v1","created_at":"2026-05-18T03:50:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1207.6096","created_at":"2026-05-18T03:50:09Z"},{"alias_kind":"pith_short_12","alias_value":"WP6BQISHDUGJ","created_at":"2026-05-18T12:27:25Z"},{"alias_kind":"pith_short_16","alias_value":"WP6BQISHDUGJOPQQ","created_at":"2026-05-18T12:27:25Z"},{"alias_kind":"pith_short_8","alias_value":"WP6BQISH","created_at":"2026-05-18T12:27:25Z"}],"graph_snapshots":[{"event_id":"sha256:943baf10db4f273e0f3642daf143d82f5721f5c981c4a3ea2edcfa4098af757e","target":"graph","created_at":"2026-05-18T03:50:09Z","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":"A central problem in releasing aggregate information about sensitive data is to do so accurately while providing a privacy guarantee on the output. Recent work focuses on the class of linear queries, which include basic counting queries, data cubes, and contingency tables. The goal is to maximize the utility of their output, while giving a rigorous privacy guarantee. Most results follow a common template: pick a \"strategy\" set of linear queries to apply to the data, then use the noisy answers to these queries to reconstruct the queries of interest. This entails either picking a strategy set th","authors_text":"Cecilia M. Procopiuc, Divesh Srivastava, Graham Cormode, Grigory Yaroslavtsev","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2012-07-25T19:31:18Z","title":"Accurate and Efficient Private Release of Datacubes and Contingency Tables"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1207.6096","kind":"arxiv","version":1},"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":"sha256:788b7813be547ffc4f9d8f67f9de257f6e41d20f3a9da3238c2479e98d414599","target":"record","created_at":"2026-05-18T03:50:09Z","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":"aff9488959c6a782a63fff11f933075ceeb482f4f2c134ad8a35d719566c4ff8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2012-07-25T19:31:18Z","title_canon_sha256":"1dcdc868735c270fea5032e4a87c91695d90d66eb1032cb6a77febad79543fab"},"schema_version":"1.0","source":{"id":"1207.6096","kind":"arxiv","version":1}},"canonical_sha256":"b3fc1822471d0c973e1012a6e9c8b77a5d1cee2923b55bda2dc4db1f13cf9c29","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3fc1822471d0c973e1012a6e9c8b77a5d1cee2923b55bda2dc4db1f13cf9c29","first_computed_at":"2026-05-18T03:50:09.516778Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:50:09.516778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mU/7l9XVb5KCl5vIPBobkMtS16jr43Ijt0z60DyaWW8XCfeK63Bui0PUY9yDUQRUFrCqiimjGrVtsxFlKy6XDg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:50:09.517630Z","signed_message":"canonical_sha256_bytes"},"source_id":"1207.6096","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:788b7813be547ffc4f9d8f67f9de257f6e41d20f3a9da3238c2479e98d414599","sha256:943baf10db4f273e0f3642daf143d82f5721f5c981c4a3ea2edcfa4098af757e"],"state_sha256":"b8fdbe7074a881b47cc46da10b64c6a175b8474b8dee7c6e26e360a828506822"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eT9bp0Rwq/2uK3+DIN/BtEK0MnSAnS4KoSsOjhB5AJyn7jXt7e9jYEBytKrDPm8EToS663tlbtwwME/Wu6QaDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T20:43:40.869473Z","bundle_sha256":"2ff65a7021ede90b596ba041aeb2fe49bcdd31b763b5ef3e92c5cfbcf7968aa9"}}