{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:HJB75QBAZMJ5WNVFVEGEY4PCMZ","short_pith_number":"pith:HJB75QBA","canonical_record":{"source":{"id":"2310.04015","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-06T04:52:46Z","cross_cats_sorted":["math.ST","stat.ML","stat.TH"],"title_canon_sha256":"27b2339b4fc08af685b191263e7380c8996becfd3385c59873f8c00e63b3e5cb","abstract_canon_sha256":"679f84c5a2483e6857fa6bbfbba4ca37a6a30d1b7fbbd053e0ca383b982dc08d"},"schema_version":"1.0"},"canonical_sha256":"3a43fec020cb13db36a5a90c4c71e266454598327a83ba00d3df62f97c2a686f","source":{"kind":"arxiv","id":"2310.04015","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.04015","created_at":"2026-07-05T07:08:12Z"},{"alias_kind":"arxiv_version","alias_value":"2310.04015v3","created_at":"2026-07-05T07:08:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.04015","created_at":"2026-07-05T07:08:12Z"},{"alias_kind":"pith_short_12","alias_value":"HJB75QBAZMJ5","created_at":"2026-07-05T07:08:12Z"},{"alias_kind":"pith_short_16","alias_value":"HJB75QBAZMJ5WNVF","created_at":"2026-07-05T07:08:12Z"},{"alias_kind":"pith_short_8","alias_value":"HJB75QBA","created_at":"2026-07-05T07:08:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:HJB75QBAZMJ5WNVFVEGEY4PCMZ","target":"record","payload":{"canonical_record":{"source":{"id":"2310.04015","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-06T04:52:46Z","cross_cats_sorted":["math.ST","stat.ML","stat.TH"],"title_canon_sha256":"27b2339b4fc08af685b191263e7380c8996becfd3385c59873f8c00e63b3e5cb","abstract_canon_sha256":"679f84c5a2483e6857fa6bbfbba4ca37a6a30d1b7fbbd053e0ca383b982dc08d"},"schema_version":"1.0"},"canonical_sha256":"3a43fec020cb13db36a5a90c4c71e266454598327a83ba00d3df62f97c2a686f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:08:12.894584Z","signature_b64":"r+ilNv3qWphkrhLzkj6UjNQ++HvEDGnlzfl6mWnXg1yYgnSX3LtxPCgEtszzfQP+0g+X2DpZNgDN6Op5A5P1DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3a43fec020cb13db36a5a90c4c71e266454598327a83ba00d3df62f97c2a686f","last_reissued_at":"2026-07-05T07:08:12.893928Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:08:12.893928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.04015","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":"2026-07-05T07:08:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P7etg5E+YGH4tS4JLN0QdU4PAr09a+VjInv/xQWHws8VmJvSK91I2gOIW5scdQ85yA6sCxeDGxct/NtOkk2kBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:52:47.501115Z"},"content_sha256":"8d54bcb27a1c3ebc652d62f6f965568ee9c4cd4d847d0ff635c6687df9bcfdde","schema_version":"1.0","event_id":"sha256:8d54bcb27a1c3ebc652d62f6f965568ee9c4cd4d847d0ff635c6687df9bcfdde"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:HJB75QBAZMJ5WNVFVEGEY4PCMZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.ST","stat.ML","stat.TH"],"primary_cat":"cs.LG","authors_text":"Adel Javanmard, Vahab Mirrokni","submitted_at":"2023-10-06T04:52:46Z","abstract_excerpt":"While personalized recommendations systems have become increasingly popular, ensuring user data protection remains a top concern in the development of these learning systems. A common approach to enhancing privacy involves training models using anonymous data rather than individual data. In this paper, we explore a natural technique called \\emph{look-alike clustering}, which involves replacing sensitive features of individuals with the cluster's average values. We provide a precise analysis of how training models using anonymous cluster centers affects their generalization capabilities. We foc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.04015","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2310.04015/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":"2026-07-05T07:08:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eSggfW2vOH92d9o//SGLY6EcvpRXAM40lUkk3S+QnTAOOFdYTpXawQKYIMuFYybKQntUpBwrdzIOzDjDoYjaBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:52:47.501495Z"},"content_sha256":"3ce69d4a18e3be26081f12701589490efb70f98eb78781ac9c040c33757fc0fe","schema_version":"1.0","event_id":"sha256:3ce69d4a18e3be26081f12701589490efb70f98eb78781ac9c040c33757fc0fe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HJB75QBAZMJ5WNVFVEGEY4PCMZ/bundle.json","state_url":"https://pith.science/pith/HJB75QBAZMJ5WNVFVEGEY4PCMZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HJB75QBAZMJ5WNVFVEGEY4PCMZ/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":"2026-07-07T15:52:47Z","links":{"resolver":"https://pith.science/pith/HJB75QBAZMJ5WNVFVEGEY4PCMZ","bundle":"https://pith.science/pith/HJB75QBAZMJ5WNVFVEGEY4PCMZ/bundle.json","state":"https://pith.science/pith/HJB75QBAZMJ5WNVFVEGEY4PCMZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HJB75QBAZMJ5WNVFVEGEY4PCMZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HJB75QBAZMJ5WNVFVEGEY4PCMZ","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":"679f84c5a2483e6857fa6bbfbba4ca37a6a30d1b7fbbd053e0ca383b982dc08d","cross_cats_sorted":["math.ST","stat.ML","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-06T04:52:46Z","title_canon_sha256":"27b2339b4fc08af685b191263e7380c8996becfd3385c59873f8c00e63b3e5cb"},"schema_version":"1.0","source":{"id":"2310.04015","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.04015","created_at":"2026-07-05T07:08:12Z"},{"alias_kind":"arxiv_version","alias_value":"2310.04015v3","created_at":"2026-07-05T07:08:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.04015","created_at":"2026-07-05T07:08:12Z"},{"alias_kind":"pith_short_12","alias_value":"HJB75QBAZMJ5","created_at":"2026-07-05T07:08:12Z"},{"alias_kind":"pith_short_16","alias_value":"HJB75QBAZMJ5WNVF","created_at":"2026-07-05T07:08:12Z"},{"alias_kind":"pith_short_8","alias_value":"HJB75QBA","created_at":"2026-07-05T07:08:12Z"}],"graph_snapshots":[{"event_id":"sha256:3ce69d4a18e3be26081f12701589490efb70f98eb78781ac9c040c33757fc0fe","target":"graph","created_at":"2026-07-05T07:08:12Z","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/2310.04015/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While personalized recommendations systems have become increasingly popular, ensuring user data protection remains a top concern in the development of these learning systems. A common approach to enhancing privacy involves training models using anonymous data rather than individual data. In this paper, we explore a natural technique called \\emph{look-alike clustering}, which involves replacing sensitive features of individuals with the cluster's average values. We provide a precise analysis of how training models using anonymous cluster centers affects their generalization capabilities. We foc","authors_text":"Adel Javanmard, Vahab Mirrokni","cross_cats":["math.ST","stat.ML","stat.TH"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-06T04:52:46Z","title":"Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.04015","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":"sha256:8d54bcb27a1c3ebc652d62f6f965568ee9c4cd4d847d0ff635c6687df9bcfdde","target":"record","created_at":"2026-07-05T07:08:12Z","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":"679f84c5a2483e6857fa6bbfbba4ca37a6a30d1b7fbbd053e0ca383b982dc08d","cross_cats_sorted":["math.ST","stat.ML","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-06T04:52:46Z","title_canon_sha256":"27b2339b4fc08af685b191263e7380c8996becfd3385c59873f8c00e63b3e5cb"},"schema_version":"1.0","source":{"id":"2310.04015","kind":"arxiv","version":3}},"canonical_sha256":"3a43fec020cb13db36a5a90c4c71e266454598327a83ba00d3df62f97c2a686f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a43fec020cb13db36a5a90c4c71e266454598327a83ba00d3df62f97c2a686f","first_computed_at":"2026-07-05T07:08:12.893928Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:08:12.893928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r+ilNv3qWphkrhLzkj6UjNQ++HvEDGnlzfl6mWnXg1yYgnSX3LtxPCgEtszzfQP+0g+X2DpZNgDN6Op5A5P1DA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:08:12.894584Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.04015","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d54bcb27a1c3ebc652d62f6f965568ee9c4cd4d847d0ff635c6687df9bcfdde","sha256:3ce69d4a18e3be26081f12701589490efb70f98eb78781ac9c040c33757fc0fe"],"state_sha256":"c5049ae913acb9a9f69a5e9c2ab54c47bcc58a6680e230c45addbeac680fe96d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xQiq1E/z2wNtMJbYRhP+V9Wf+IVFPVgMvx2LnvR8QmeHA6o3TsSWmRlIVOZvkNehhKOYj7wIjR7iXkWCpMppDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:52:47.503539Z","bundle_sha256":"ec0379c0e0329770fdb393e22e2495fb8d5d46af239015dc16e37b72d404df8c"}}