{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:K4NMIRENXMSKELTAUF4U7SCTB4","short_pith_number":"pith:K4NMIREN","canonical_record":{"source":{"id":"1707.02702","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-10T05:50:59Z","cross_cats_sorted":["cs.CR","stat.ML"],"title_canon_sha256":"3040cb2686cef0c2db7c6689857e365d4a41a4da460633ed7c4df635b8fb91ca","abstract_canon_sha256":"2eca8db53d3487a30e1e89549fa6ba67004d23213515e8e5418670bc7953d969"},"schema_version":"1.0"},"canonical_sha256":"571ac4448dbb24a22e60a1794fc8530f369a93708e307820e083bb2fa92c5771","source":{"kind":"arxiv","id":"1707.02702","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.02702","created_at":"2026-05-18T00:40:36Z"},{"alias_kind":"arxiv_version","alias_value":"1707.02702v1","created_at":"2026-05-18T00:40:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.02702","created_at":"2026-05-18T00:40:36Z"},{"alias_kind":"pith_short_12","alias_value":"K4NMIRENXMSK","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"K4NMIRENXMSKELTA","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"K4NMIREN","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:K4NMIRENXMSKELTAUF4U7SCTB4","target":"record","payload":{"canonical_record":{"source":{"id":"1707.02702","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-10T05:50:59Z","cross_cats_sorted":["cs.CR","stat.ML"],"title_canon_sha256":"3040cb2686cef0c2db7c6689857e365d4a41a4da460633ed7c4df635b8fb91ca","abstract_canon_sha256":"2eca8db53d3487a30e1e89549fa6ba67004d23213515e8e5418670bc7953d969"},"schema_version":"1.0"},"canonical_sha256":"571ac4448dbb24a22e60a1794fc8530f369a93708e307820e083bb2fa92c5771","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:40:36.078598Z","signature_b64":"Xx0UKK1qp9HqLm/O/3R9ttX6UBCCqHfIcNN/KeW9oR/0tSgSKVDwFtGnfuznYN3f2DH2c9AKiyrCxruZlXZmCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"571ac4448dbb24a22e60a1794fc8530f369a93708e307820e083bb2fa92c5771","last_reissued_at":"2026-05-18T00:40:36.077872Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:40:36.077872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.02702","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":"2026-05-18T00:40:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IQHdZ7fQ5mwQn/dZ8a7/dvykQyTmhx5/M50Vpb+ccbZ636206EqkP78NnKU8ynDIwWpRuFNygp/OBzT7Pv0kDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T21:45:02.768964Z"},"content_sha256":"3838545d8561a08bff6a79c90d7c55687d723bd51b888cb7d4ba7ba73a995bf7","schema_version":"1.0","event_id":"sha256:3838545d8561a08bff6a79c90d7c55687d723bd51b888cb7d4ba7ba73a995bf7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:K4NMIRENXMSKELTAUF4U7SCTB4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Composition Properties of Inferential Privacy for Time-Series Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","stat.ML"],"primary_cat":"cs.LG","authors_text":"Kamalika Chaudhuri, Shuang Song","submitted_at":"2017-07-10T05:50:59Z","abstract_excerpt":"With the proliferation of mobile devices and the internet of things, developing principled solutions for privacy in time series applications has become increasingly important. While differential privacy is the gold standard for database privacy, many time series applications require a different kind of guarantee, and a number of recent works have used some form of inferential privacy to address these situations.\n  However, a major barrier to using inferential privacy in practice is its lack of graceful composition -- even if the same or related sensitive data is used in multiple releases that "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.02702","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":"2026-05-18T00:40:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BZzbHVAOHRum/Kywifr3dmNudqSaCWECE+TMT+JEoAU4y1QRfV+RL8KY0gMdWYP+IoAS1gmSVQ5aCBANrfa7AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T21:45:02.769696Z"},"content_sha256":"fcb6a96a14c682af9b21566197fc0cf4d8a961b5586a930006048dfec71abf82","schema_version":"1.0","event_id":"sha256:fcb6a96a14c682af9b21566197fc0cf4d8a961b5586a930006048dfec71abf82"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K4NMIRENXMSKELTAUF4U7SCTB4/bundle.json","state_url":"https://pith.science/pith/K4NMIRENXMSKELTAUF4U7SCTB4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K4NMIRENXMSKELTAUF4U7SCTB4/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":"2026-08-13T21:45:02Z","links":{"resolver":"https://pith.science/pith/K4NMIRENXMSKELTAUF4U7SCTB4","bundle":"https://pith.science/pith/K4NMIRENXMSKELTAUF4U7SCTB4/bundle.json","state":"https://pith.science/pith/K4NMIRENXMSKELTAUF4U7SCTB4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K4NMIRENXMSKELTAUF4U7SCTB4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:K4NMIRENXMSKELTAUF4U7SCTB4","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":"2eca8db53d3487a30e1e89549fa6ba67004d23213515e8e5418670bc7953d969","cross_cats_sorted":["cs.CR","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-10T05:50:59Z","title_canon_sha256":"3040cb2686cef0c2db7c6689857e365d4a41a4da460633ed7c4df635b8fb91ca"},"schema_version":"1.0","source":{"id":"1707.02702","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.02702","created_at":"2026-05-18T00:40:36Z"},{"alias_kind":"arxiv_version","alias_value":"1707.02702v1","created_at":"2026-05-18T00:40:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.02702","created_at":"2026-05-18T00:40:36Z"},{"alias_kind":"pith_short_12","alias_value":"K4NMIRENXMSK","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"K4NMIRENXMSKELTA","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"K4NMIREN","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:fcb6a96a14c682af9b21566197fc0cf4d8a961b5586a930006048dfec71abf82","target":"graph","created_at":"2026-05-18T00:40:36Z","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":"With the proliferation of mobile devices and the internet of things, developing principled solutions for privacy in time series applications has become increasingly important. While differential privacy is the gold standard for database privacy, many time series applications require a different kind of guarantee, and a number of recent works have used some form of inferential privacy to address these situations.\n  However, a major barrier to using inferential privacy in practice is its lack of graceful composition -- even if the same or related sensitive data is used in multiple releases that ","authors_text":"Kamalika Chaudhuri, Shuang Song","cross_cats":["cs.CR","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-10T05:50:59Z","title":"Composition Properties of Inferential Privacy for Time-Series Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.02702","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":"sha256:3838545d8561a08bff6a79c90d7c55687d723bd51b888cb7d4ba7ba73a995bf7","target":"record","created_at":"2026-05-18T00:40:36Z","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":"2eca8db53d3487a30e1e89549fa6ba67004d23213515e8e5418670bc7953d969","cross_cats_sorted":["cs.CR","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-10T05:50:59Z","title_canon_sha256":"3040cb2686cef0c2db7c6689857e365d4a41a4da460633ed7c4df635b8fb91ca"},"schema_version":"1.0","source":{"id":"1707.02702","kind":"arxiv","version":1}},"canonical_sha256":"571ac4448dbb24a22e60a1794fc8530f369a93708e307820e083bb2fa92c5771","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"571ac4448dbb24a22e60a1794fc8530f369a93708e307820e083bb2fa92c5771","first_computed_at":"2026-05-18T00:40:36.077872Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:40:36.077872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Xx0UKK1qp9HqLm/O/3R9ttX6UBCCqHfIcNN/KeW9oR/0tSgSKVDwFtGnfuznYN3f2DH2c9AKiyrCxruZlXZmCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:40:36.078598Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.02702","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3838545d8561a08bff6a79c90d7c55687d723bd51b888cb7d4ba7ba73a995bf7","sha256:fcb6a96a14c682af9b21566197fc0cf4d8a961b5586a930006048dfec71abf82"],"state_sha256":"019439520fd31cfeedb8286d1e58483df4ac8385fe61e36614e49eef7fd60a7e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"feks67caxeSc7X34rdEzUNaMCfYCgsNpq54yqOEACbSBUB/vdzZ4suq/z1VZ+DXykq5/MrlthAoRr+OzwCagAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T21:45:02.789387Z","bundle_sha256":"cf54b1e862ee06142a7d233a19d8057974d24a06900ef2357322fea0567e3373"}}