{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:7EVKBRTC3A4KPMVP343ZWSJRII","short_pith_number":"pith:7EVKBRTC","canonical_record":{"source":{"id":"1602.01063","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-02-02T19:56:07Z","cross_cats_sorted":[],"title_canon_sha256":"8d522011e95c0af6627113fb25bab1af7420468d5efbea174c4552585d828d9b","abstract_canon_sha256":"c1c33ab701995eaf115c0e2719b67916481b36d88ac8ab8d822336294e3412d3"},"schema_version":"1.0"},"canonical_sha256":"f92aa0c662d838a7b2afdf379b49314230da46a623e67914e9c585dc872475f2","source":{"kind":"arxiv","id":"1602.01063","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.01063","created_at":"2026-07-05T01:14:20Z"},{"alias_kind":"arxiv_version","alias_value":"1602.01063v4","created_at":"2026-07-05T01:14:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.01063","created_at":"2026-07-05T01:14:20Z"},{"alias_kind":"pith_short_12","alias_value":"7EVKBRTC3A4K","created_at":"2026-07-05T01:14:20Z"},{"alias_kind":"pith_short_16","alias_value":"7EVKBRTC3A4KPMVP","created_at":"2026-07-05T01:14:20Z"},{"alias_kind":"pith_short_8","alias_value":"7EVKBRTC","created_at":"2026-07-05T01:14:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:7EVKBRTC3A4KPMVP343ZWSJRII","target":"record","payload":{"canonical_record":{"source":{"id":"1602.01063","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-02-02T19:56:07Z","cross_cats_sorted":[],"title_canon_sha256":"8d522011e95c0af6627113fb25bab1af7420468d5efbea174c4552585d828d9b","abstract_canon_sha256":"c1c33ab701995eaf115c0e2719b67916481b36d88ac8ab8d822336294e3412d3"},"schema_version":"1.0"},"canonical_sha256":"f92aa0c662d838a7b2afdf379b49314230da46a623e67914e9c585dc872475f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:14:20.533165Z","signature_b64":"+sO7FB+4/CfsgJAfyjV9mRFhci+8TkNNjqc1iwYVO1gSPC7QrzV1Gt7sl6MPNBKQBulpvQk2KEsbUY/YSlV1Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f92aa0c662d838a7b2afdf379b49314230da46a623e67914e9c585dc872475f2","last_reissued_at":"2026-07-05T01:14:20.532519Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:14:20.532519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.01063","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:14:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1YKuZnon/4EzKE3kmv2asDs79LTGP/21qGsgZYFNGshd1YFDHw6yLhfRE0x33Rrap1ltfkXY5S+aB61ZLbPhBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T04:10:33.674649Z"},"content_sha256":"97adde5d260a41259c366740c61d7c59ffc93a39c862387812c12ea30d56b15c","schema_version":"1.0","event_id":"sha256:97adde5d260a41259c366740c61d7c59ffc93a39c862387812c12ea30d56b15c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:7EVKBRTC3A4KPMVP343ZWSJRII","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Comparative Study of Differentially Private Data Synthesis Methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Claire McKay Bowen, Fang Liu","submitted_at":"2016-02-02T19:56:07Z","abstract_excerpt":"When sharing data among researchers or releasing data for public use, there is a risk of exposing sensitive information of individuals in the data set. Data synthesis (DS) is a statistical disclosure limitation technique for releasing synthetic data sets with pseudo individual records. Traditional DS techniques often rely on strong assumptions of a data intruder's behaviors and background knowledge to assess disclosure risk. Differential privacy (DP) formulates a theoretical approach for a strong and robust privacy guarantee in data release without having to model intruders' behaviors. Efforts"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.01063","kind":"arxiv","version":4},"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/1602.01063/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:14:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xvz12wdHNkCyC+u6dJjcL9YQH0qkAUPVWSeLVSM83tRQu6+RV1l8M5jUKHOOvMg08I3fs5mtlahKFyvanDxpCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T04:10:33.675021Z"},"content_sha256":"4df08f1fd95adb6e571d7c848c003379007d1f9758f5660786ec0197e6a578d2","schema_version":"1.0","event_id":"sha256:4df08f1fd95adb6e571d7c848c003379007d1f9758f5660786ec0197e6a578d2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7EVKBRTC3A4KPMVP343ZWSJRII/bundle.json","state_url":"https://pith.science/pith/7EVKBRTC3A4KPMVP343ZWSJRII/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7EVKBRTC3A4KPMVP343ZWSJRII/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":"2026-07-13T04:10:33Z","links":{"resolver":"https://pith.science/pith/7EVKBRTC3A4KPMVP343ZWSJRII","bundle":"https://pith.science/pith/7EVKBRTC3A4KPMVP343ZWSJRII/bundle.json","state":"https://pith.science/pith/7EVKBRTC3A4KPMVP343ZWSJRII/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7EVKBRTC3A4KPMVP343ZWSJRII/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:7EVKBRTC3A4KPMVP343ZWSJRII","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":"c1c33ab701995eaf115c0e2719b67916481b36d88ac8ab8d822336294e3412d3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-02-02T19:56:07Z","title_canon_sha256":"8d522011e95c0af6627113fb25bab1af7420468d5efbea174c4552585d828d9b"},"schema_version":"1.0","source":{"id":"1602.01063","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.01063","created_at":"2026-07-05T01:14:20Z"},{"alias_kind":"arxiv_version","alias_value":"1602.01063v4","created_at":"2026-07-05T01:14:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.01063","created_at":"2026-07-05T01:14:20Z"},{"alias_kind":"pith_short_12","alias_value":"7EVKBRTC3A4K","created_at":"2026-07-05T01:14:20Z"},{"alias_kind":"pith_short_16","alias_value":"7EVKBRTC3A4KPMVP","created_at":"2026-07-05T01:14:20Z"},{"alias_kind":"pith_short_8","alias_value":"7EVKBRTC","created_at":"2026-07-05T01:14:20Z"}],"graph_snapshots":[{"event_id":"sha256:4df08f1fd95adb6e571d7c848c003379007d1f9758f5660786ec0197e6a578d2","target":"graph","created_at":"2026-07-05T01:14:20Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1602.01063/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"When sharing data among researchers or releasing data for public use, there is a risk of exposing sensitive information of individuals in the data set. Data synthesis (DS) is a statistical disclosure limitation technique for releasing synthetic data sets with pseudo individual records. Traditional DS techniques often rely on strong assumptions of a data intruder's behaviors and background knowledge to assess disclosure risk. Differential privacy (DP) formulates a theoretical approach for a strong and robust privacy guarantee in data release without having to model intruders' behaviors. Efforts","authors_text":"Claire McKay Bowen, Fang Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-02-02T19:56:07Z","title":"Comparative Study of Differentially Private Data Synthesis Methods"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.01063","kind":"arxiv","version":4},"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":"sha256:97adde5d260a41259c366740c61d7c59ffc93a39c862387812c12ea30d56b15c","target":"record","created_at":"2026-07-05T01:14:20Z","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":"c1c33ab701995eaf115c0e2719b67916481b36d88ac8ab8d822336294e3412d3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-02-02T19:56:07Z","title_canon_sha256":"8d522011e95c0af6627113fb25bab1af7420468d5efbea174c4552585d828d9b"},"schema_version":"1.0","source":{"id":"1602.01063","kind":"arxiv","version":4}},"canonical_sha256":"f92aa0c662d838a7b2afdf379b49314230da46a623e67914e9c585dc872475f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f92aa0c662d838a7b2afdf379b49314230da46a623e67914e9c585dc872475f2","first_computed_at":"2026-07-05T01:14:20.532519Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:14:20.532519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+sO7FB+4/CfsgJAfyjV9mRFhci+8TkNNjqc1iwYVO1gSPC7QrzV1Gt7sl6MPNBKQBulpvQk2KEsbUY/YSlV1Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:14:20.533165Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.01063","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:97adde5d260a41259c366740c61d7c59ffc93a39c862387812c12ea30d56b15c","sha256:4df08f1fd95adb6e571d7c848c003379007d1f9758f5660786ec0197e6a578d2"],"state_sha256":"22de16796427126537c1e01320425bdae6f38ba0297f8f73115d0994643996a1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2vpSP6iQXjPn3RLUFUpi4gFO3zYHtHNF4vSNBnaFpRr6RD7iS4hIYGM/aoJLN2SGwfFooxAQzkaDN2W6i401BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T04:10:33.677414Z","bundle_sha256":"a7cfc9e711a6a226143424b9da14459ab5fa4ee17100e07da077d1a3c60ae174"}}