{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:4KPW4E5GW43SPWYRT7CVL4R3F2","short_pith_number":"pith:4KPW4E5G","canonical_record":{"source":{"id":"1709.00054","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2017-08-31T19:42:10Z","cross_cats_sorted":[],"title_canon_sha256":"46ed9e7940f24971072e3aeccfa5b770d3dcff11a0a18f78fb7cb263076f811f","abstract_canon_sha256":"a47aa47574b739f72af41923bdef02f4112a05dfa34c7d1521cece17bb0433cb"},"schema_version":"1.0"},"canonical_sha256":"e29f6e13a6b73727db119fc555f23b2ebb982f7a94acb756fa9137eacd544136","source":{"kind":"arxiv","id":"1709.00054","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.00054","created_at":"2026-05-18T00:03:00Z"},{"alias_kind":"arxiv_version","alias_value":"1709.00054v3","created_at":"2026-05-18T00:03:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.00054","created_at":"2026-05-18T00:03:00Z"},{"alias_kind":"pith_short_12","alias_value":"4KPW4E5GW43S","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4KPW4E5GW43SPWYR","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4KPW4E5G","created_at":"2026-05-18T12:31:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:4KPW4E5GW43SPWYRT7CVL4R3F2","target":"record","payload":{"canonical_record":{"source":{"id":"1709.00054","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2017-08-31T19:42:10Z","cross_cats_sorted":[],"title_canon_sha256":"46ed9e7940f24971072e3aeccfa5b770d3dcff11a0a18f78fb7cb263076f811f","abstract_canon_sha256":"a47aa47574b739f72af41923bdef02f4112a05dfa34c7d1521cece17bb0433cb"},"schema_version":"1.0"},"canonical_sha256":"e29f6e13a6b73727db119fc555f23b2ebb982f7a94acb756fa9137eacd544136","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:00.285486Z","signature_b64":"qrP2WCu1SOwv6ukurK94em9mu/jf7ELh2jGT4UQRah6MxUjWepWJD6Xpvrlj2ojms9MLHRPWG8Ll7dXBgECLCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e29f6e13a6b73727db119fc555f23b2ebb982f7a94acb756fa9137eacd544136","last_reissued_at":"2026-05-18T00:03:00.284878Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:00.284878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.00054","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:03:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YNYooimwkc6XdI5hmC5rNNE8cp+H37tWMq2W5pQYVIahPsnNHsfLhEIsBVmf9G/0bXJfn6DwKC34VDHkaKsrBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T09:47:02.410374Z"},"content_sha256":"3d3f67161e8b66c3ebc285ca70c19647149a126d3fa3ee9a62435f9f87c56180","schema_version":"1.0","event_id":"sha256:3d3f67161e8b66c3ebc285ca70c19647149a126d3fa3ee9a62435f9f87c56180"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:4KPW4E5GW43SPWYRT7CVL4R3F2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Changchang Liu, Prateek Mittal, Thee Chanyaswad","submitted_at":"2017-08-31T19:42:10Z","abstract_excerpt":"A key challenge facing the design of differential privacy in the non-interactive setting is to maintain the utility of the released data. To overcome this challenge, we utilize the Diaconis-Freedman-Meckes (DFM) effect, which states that most projections of high-dimensional data are nearly Gaussian. Hence, we propose the RON-Gauss model that leverages the novel combination of dimensionality reduction via random orthonormal (RON) projection and the Gaussian generative model for synthesizing differentially-private data. We analyze how RON-Gauss benefits from the DFM effect, and present multiple "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.00054","kind":"arxiv","version":3},"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":"2026-05-18T00:03:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X8Hry9jT+nK5e3F0lpaLcSQt2ecMt2EnQNVgF+3286qcblm6wXbNbwAF+vS6iNM0nTdNNmwri9ZhaINDWB7iBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T09:47:02.410821Z"},"content_sha256":"70a97324fda4ea04ecf8858609c3de224ffa880747a8b58b15c358c0280d4980","schema_version":"1.0","event_id":"sha256:70a97324fda4ea04ecf8858609c3de224ffa880747a8b58b15c358c0280d4980"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4KPW4E5GW43SPWYRT7CVL4R3F2/bundle.json","state_url":"https://pith.science/pith/4KPW4E5GW43SPWYRT7CVL4R3F2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4KPW4E5GW43SPWYRT7CVL4R3F2/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":"2026-05-25T09:47:02Z","links":{"resolver":"https://pith.science/pith/4KPW4E5GW43SPWYRT7CVL4R3F2","bundle":"https://pith.science/pith/4KPW4E5GW43SPWYRT7CVL4R3F2/bundle.json","state":"https://pith.science/pith/4KPW4E5GW43SPWYRT7CVL4R3F2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4KPW4E5GW43SPWYRT7CVL4R3F2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:4KPW4E5GW43SPWYRT7CVL4R3F2","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":"a47aa47574b739f72af41923bdef02f4112a05dfa34c7d1521cece17bb0433cb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2017-08-31T19:42:10Z","title_canon_sha256":"46ed9e7940f24971072e3aeccfa5b770d3dcff11a0a18f78fb7cb263076f811f"},"schema_version":"1.0","source":{"id":"1709.00054","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.00054","created_at":"2026-05-18T00:03:00Z"},{"alias_kind":"arxiv_version","alias_value":"1709.00054v3","created_at":"2026-05-18T00:03:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.00054","created_at":"2026-05-18T00:03:00Z"},{"alias_kind":"pith_short_12","alias_value":"4KPW4E5GW43S","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4KPW4E5GW43SPWYR","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4KPW4E5G","created_at":"2026-05-18T12:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:70a97324fda4ea04ecf8858609c3de224ffa880747a8b58b15c358c0280d4980","target":"graph","created_at":"2026-05-18T00:03:00Z","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 key challenge facing the design of differential privacy in the non-interactive setting is to maintain the utility of the released data. To overcome this challenge, we utilize the Diaconis-Freedman-Meckes (DFM) effect, which states that most projections of high-dimensional data are nearly Gaussian. Hence, we propose the RON-Gauss model that leverages the novel combination of dimensionality reduction via random orthonormal (RON) projection and the Gaussian generative model for synthesizing differentially-private data. We analyze how RON-Gauss benefits from the DFM effect, and present multiple ","authors_text":"Changchang Liu, Prateek Mittal, Thee Chanyaswad","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2017-08-31T19:42:10Z","title":"RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.00054","kind":"arxiv","version":3},"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":"sha256:3d3f67161e8b66c3ebc285ca70c19647149a126d3fa3ee9a62435f9f87c56180","target":"record","created_at":"2026-05-18T00:03:00Z","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":"a47aa47574b739f72af41923bdef02f4112a05dfa34c7d1521cece17bb0433cb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2017-08-31T19:42:10Z","title_canon_sha256":"46ed9e7940f24971072e3aeccfa5b770d3dcff11a0a18f78fb7cb263076f811f"},"schema_version":"1.0","source":{"id":"1709.00054","kind":"arxiv","version":3}},"canonical_sha256":"e29f6e13a6b73727db119fc555f23b2ebb982f7a94acb756fa9137eacd544136","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e29f6e13a6b73727db119fc555f23b2ebb982f7a94acb756fa9137eacd544136","first_computed_at":"2026-05-18T00:03:00.284878Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:03:00.284878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qrP2WCu1SOwv6ukurK94em9mu/jf7ELh2jGT4UQRah6MxUjWepWJD6Xpvrlj2ojms9MLHRPWG8Ll7dXBgECLCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:03:00.285486Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.00054","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3d3f67161e8b66c3ebc285ca70c19647149a126d3fa3ee9a62435f9f87c56180","sha256:70a97324fda4ea04ecf8858609c3de224ffa880747a8b58b15c358c0280d4980"],"state_sha256":"fe978cf5e0c69d7ea935a2c2cd3403bfb0dd7e91f61f120308527351084cdfb6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6CAV4DZLGPsdduSrAYxVAcMlS0SsuQBfw9fJ1NcxSPzvIiIxzhuQrcKwiw2FDwejjhCy+NJP9NIWYUREBuzJBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T09:47:02.413793Z","bundle_sha256":"2546bd1cb23dd05a50afe48efcb3dd23c7d8d540dac452ed77e81865e619123e"}}