{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:Y6WUVJ5URHAY4CL4MAUEHLLBR7","short_pith_number":"pith:Y6WUVJ5U","canonical_record":{"source":{"id":"1801.05926","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-01-18T03:48:27Z","cross_cats_sorted":["cs.CR","math.IT"],"title_canon_sha256":"764c861755653ab7a0177b0311547fff55abed921a7b70a563fddd731553de97","abstract_canon_sha256":"cc2b65ab62ff49b719877eea9267258cf44ab66150315e21b7db8c281f851644"},"schema_version":"1.0"},"canonical_sha256":"c7ad4aa7b489c18e097c602843ad618fcf44c3ce2389aaec50ddb2dfddecdef5","source":{"kind":"arxiv","id":"1801.05926","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.05926","created_at":"2026-05-18T00:16:19Z"},{"alias_kind":"arxiv_version","alias_value":"1801.05926v2","created_at":"2026-05-18T00:16:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.05926","created_at":"2026-05-18T00:16:19Z"},{"alias_kind":"pith_short_12","alias_value":"Y6WUVJ5URHAY","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"Y6WUVJ5URHAY4CL4","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"Y6WUVJ5U","created_at":"2026-05-18T12:33:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:Y6WUVJ5URHAY4CL4MAUEHLLBR7","target":"record","payload":{"canonical_record":{"source":{"id":"1801.05926","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-01-18T03:48:27Z","cross_cats_sorted":["cs.CR","math.IT"],"title_canon_sha256":"764c861755653ab7a0177b0311547fff55abed921a7b70a563fddd731553de97","abstract_canon_sha256":"cc2b65ab62ff49b719877eea9267258cf44ab66150315e21b7db8c281f851644"},"schema_version":"1.0"},"canonical_sha256":"c7ad4aa7b489c18e097c602843ad618fcf44c3ce2389aaec50ddb2dfddecdef5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:16:19.246952Z","signature_b64":"MGiZ7Pb9k+0LC7sL9pQkPL3HFRCOBJDkLR1GLX5jO2k9Utywr96pfqql98hSWqhQhaCRjfj9bnYc2K+9H7d4Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c7ad4aa7b489c18e097c602843ad618fcf44c3ce2389aaec50ddb2dfddecdef5","last_reissued_at":"2026-05-18T00:16:19.246418Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:16:19.246418Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1801.05926","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:16:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d47cT7EsFA3JmCptLj4gW/5V8H5LXmA5s5ci9n9iY3C3TmUesIf/rvXj44fy72GF0/xlMpLbFh0YtqEXOeZZAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T12:38:18.203961Z"},"content_sha256":"ac8a0ad0094b630e8a45d50d0bc0ef1fe4b37e915db549d932665fabbfb838db","schema_version":"1.0","event_id":"sha256:ac8a0ad0094b630e8a45d50d0bc0ef1fe4b37e915db549d932665fabbfb838db"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:Y6WUVJ5URHAY4CL4MAUEHLLBR7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Utility Cost of Robust Privacy Guarantees","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","math.IT"],"primary_cat":"cs.IT","authors_text":"Flavio P. Calmon, Hao Wang, Lalitha Sankar, Mario Diaz","submitted_at":"2018-01-18T03:48:27Z","abstract_excerpt":"Consider a data publishing setting for a data set with public and private features. The objective of the publisher is to maximize the amount of information about the public features in a revealed data set, while keeping the information leaked about the private features bounded. The goal of this paper is to analyze the performance of privacy mechanisms that are constructed to match the distribution learned from the data set. Two distinct scenarios are considered: (i) mechanisms are designed to provide a privacy guarantee for the learned distribution; and (ii) mechanisms are designed to provide "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.05926","kind":"arxiv","version":2},"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":"2026-05-18T00:16:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QZn2RnHthwEoK9pXydu43Yk/h75p21TwHj9Cvl5v7pLN6hlp88lRpo1kFdgPzZy03S6re8HE+AhqZsSaHuAHBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T12:38:18.204516Z"},"content_sha256":"77a183663bc6a4830288c31ef3392513f5d04daca0086f344ab025d5e04a0be5","schema_version":"1.0","event_id":"sha256:77a183663bc6a4830288c31ef3392513f5d04daca0086f344ab025d5e04a0be5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y6WUVJ5URHAY4CL4MAUEHLLBR7/bundle.json","state_url":"https://pith.science/pith/Y6WUVJ5URHAY4CL4MAUEHLLBR7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y6WUVJ5URHAY4CL4MAUEHLLBR7/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":"2026-06-03T12:38:18Z","links":{"resolver":"https://pith.science/pith/Y6WUVJ5URHAY4CL4MAUEHLLBR7","bundle":"https://pith.science/pith/Y6WUVJ5URHAY4CL4MAUEHLLBR7/bundle.json","state":"https://pith.science/pith/Y6WUVJ5URHAY4CL4MAUEHLLBR7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y6WUVJ5URHAY4CL4MAUEHLLBR7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:Y6WUVJ5URHAY4CL4MAUEHLLBR7","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":"cc2b65ab62ff49b719877eea9267258cf44ab66150315e21b7db8c281f851644","cross_cats_sorted":["cs.CR","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-01-18T03:48:27Z","title_canon_sha256":"764c861755653ab7a0177b0311547fff55abed921a7b70a563fddd731553de97"},"schema_version":"1.0","source":{"id":"1801.05926","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.05926","created_at":"2026-05-18T00:16:19Z"},{"alias_kind":"arxiv_version","alias_value":"1801.05926v2","created_at":"2026-05-18T00:16:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.05926","created_at":"2026-05-18T00:16:19Z"},{"alias_kind":"pith_short_12","alias_value":"Y6WUVJ5URHAY","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"Y6WUVJ5URHAY4CL4","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"Y6WUVJ5U","created_at":"2026-05-18T12:33:04Z"}],"graph_snapshots":[{"event_id":"sha256:77a183663bc6a4830288c31ef3392513f5d04daca0086f344ab025d5e04a0be5","target":"graph","created_at":"2026-05-18T00:16:19Z","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":"Consider a data publishing setting for a data set with public and private features. The objective of the publisher is to maximize the amount of information about the public features in a revealed data set, while keeping the information leaked about the private features bounded. The goal of this paper is to analyze the performance of privacy mechanisms that are constructed to match the distribution learned from the data set. Two distinct scenarios are considered: (i) mechanisms are designed to provide a privacy guarantee for the learned distribution; and (ii) mechanisms are designed to provide ","authors_text":"Flavio P. Calmon, Hao Wang, Lalitha Sankar, Mario Diaz","cross_cats":["cs.CR","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-01-18T03:48:27Z","title":"The Utility Cost of Robust Privacy Guarantees"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.05926","kind":"arxiv","version":2},"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:ac8a0ad0094b630e8a45d50d0bc0ef1fe4b37e915db549d932665fabbfb838db","target":"record","created_at":"2026-05-18T00:16:19Z","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":"cc2b65ab62ff49b719877eea9267258cf44ab66150315e21b7db8c281f851644","cross_cats_sorted":["cs.CR","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-01-18T03:48:27Z","title_canon_sha256":"764c861755653ab7a0177b0311547fff55abed921a7b70a563fddd731553de97"},"schema_version":"1.0","source":{"id":"1801.05926","kind":"arxiv","version":2}},"canonical_sha256":"c7ad4aa7b489c18e097c602843ad618fcf44c3ce2389aaec50ddb2dfddecdef5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c7ad4aa7b489c18e097c602843ad618fcf44c3ce2389aaec50ddb2dfddecdef5","first_computed_at":"2026-05-18T00:16:19.246418Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:16:19.246418Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MGiZ7Pb9k+0LC7sL9pQkPL3HFRCOBJDkLR1GLX5jO2k9Utywr96pfqql98hSWqhQhaCRjfj9bnYc2K+9H7d4Bg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:16:19.246952Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.05926","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac8a0ad0094b630e8a45d50d0bc0ef1fe4b37e915db549d932665fabbfb838db","sha256:77a183663bc6a4830288c31ef3392513f5d04daca0086f344ab025d5e04a0be5"],"state_sha256":"cedec72be4b1552698c148ef3d589f36a0ed53ae7854dd15466f5ffe502dd6e4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"imINhS0u2kwZkdCcblLKCeDTxBV6bx2sJMye8e5K1Re65FCdRHJopxBC8CO1/arV6qD/shL+inxHpPguCSnCBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T12:38:18.207170Z","bundle_sha256":"0b1baa266ccc74a488c976c7cacc3779a5e55e159c58ea929eba292203d72989"}}