{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:SUFFCFQKSVVOVIKW76ZCW6VD4A","short_pith_number":"pith:SUFFCFQK","canonical_record":{"source":{"id":"2008.06170","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2020-08-14T02:32:36Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ac31c2b4176a3b032c4a7b6be5a7b91e4eb99000664ab701c1b7813dfe5de1aa","abstract_canon_sha256":"28865cdf65f6536a62055cada176b75fc1e4c182bbcd6a203dd24870c4b853fb"},"schema_version":"1.0"},"canonical_sha256":"950a51160a956aeaa156ffb22b7aa3e02c60476df218c1c67062c26e9db1f87e","source":{"kind":"arxiv","id":"2008.06170","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.06170","created_at":"2026-07-05T01:27:06Z"},{"alias_kind":"arxiv_version","alias_value":"2008.06170v1","created_at":"2026-07-05T01:27:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.06170","created_at":"2026-07-05T01:27:06Z"},{"alias_kind":"pith_short_12","alias_value":"SUFFCFQKSVVO","created_at":"2026-07-05T01:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"SUFFCFQKSVVOVIKW","created_at":"2026-07-05T01:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"SUFFCFQK","created_at":"2026-07-05T01:27:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:SUFFCFQKSVVOVIKW76ZCW6VD4A","target":"record","payload":{"canonical_record":{"source":{"id":"2008.06170","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2020-08-14T02:32:36Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ac31c2b4176a3b032c4a7b6be5a7b91e4eb99000664ab701c1b7813dfe5de1aa","abstract_canon_sha256":"28865cdf65f6536a62055cada176b75fc1e4c182bbcd6a203dd24870c4b853fb"},"schema_version":"1.0"},"canonical_sha256":"950a51160a956aeaa156ffb22b7aa3e02c60476df218c1c67062c26e9db1f87e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:27:06.284709Z","signature_b64":"Y38qxSlBvn5ZZfSuNT/SKBsf1Ef/01vq1JK2ZGByFjGCnivTdZj45rD6Lejy/e0f/AwHMmci96cV8sMsYmsTDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"950a51160a956aeaa156ffb22b7aa3e02c60476df218c1c67062c26e9db1f87e","last_reissued_at":"2026-07-05T01:27:06.284198Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:27:06.284198Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.06170","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":"2026-07-05T01:27:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+IYLH8a+8eWcqIKiHzxpM73q/mnBNl4aJkchTx+fFeD/FxjXcBrEltxZK5Y/3sMXSS+veiNSV8ElZ1ebwGKhDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T15:37:31.712178Z"},"content_sha256":"60bc29172a7f7c9fc43f3ae6919c66d5f8ae6cab652f82a544ff1c3570072e5f","schema_version":"1.0","event_id":"sha256:60bc29172a7f7c9fc43f3ae6919c66d5f8ae6cab652f82a544ff1c3570072e5f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:SUFFCFQKSVVOVIKW76ZCW6VD4A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Privacy Preserving Vertical Federated Learning for Tree-based Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CR","authors_text":"Beng Chin Ooi, Gang Chen, Shaofeng Cai, Xiaokui Xiao, Yuncheng Wu","submitted_at":"2020-08-14T02:32:36Z","abstract_excerpt":"Federated learning (FL) is an emerging paradigm that enables multiple organizations to jointly train a model without revealing their private data to each other. This paper studies {\\it vertical} federated learning, which tackles the scenarios where (i) collaborating organizations own data of the same set of users but with disjoint features, and (ii) only one organization holds the labels. We propose Pivot, a novel solution for privacy preserving vertical decision tree training and prediction, ensuring that no intermediate information is disclosed other than those the clients have agreed to rel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.06170","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2008.06170/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":"2026-07-05T01:27:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"euJFvWzkrOBbw7T0SadaSzv6DmFUJAH+s3q9swUBjNxpHpPzQ52XmOSeh2GLlqrkXeL8+2+b2mVFMlq8FfxWBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T15:37:31.714108Z"},"content_sha256":"37cbae085b8268739faa01aa7153d77a04405b0c857910f28b5511f0176438e4","schema_version":"1.0","event_id":"sha256:37cbae085b8268739faa01aa7153d77a04405b0c857910f28b5511f0176438e4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SUFFCFQKSVVOVIKW76ZCW6VD4A/bundle.json","state_url":"https://pith.science/pith/SUFFCFQKSVVOVIKW76ZCW6VD4A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SUFFCFQKSVVOVIKW76ZCW6VD4A/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":"2026-08-14T15:37:31Z","links":{"resolver":"https://pith.science/pith/SUFFCFQKSVVOVIKW76ZCW6VD4A","bundle":"https://pith.science/pith/SUFFCFQKSVVOVIKW76ZCW6VD4A/bundle.json","state":"https://pith.science/pith/SUFFCFQKSVVOVIKW76ZCW6VD4A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SUFFCFQKSVVOVIKW76ZCW6VD4A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:SUFFCFQKSVVOVIKW76ZCW6VD4A","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":"28865cdf65f6536a62055cada176b75fc1e4c182bbcd6a203dd24870c4b853fb","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2020-08-14T02:32:36Z","title_canon_sha256":"ac31c2b4176a3b032c4a7b6be5a7b91e4eb99000664ab701c1b7813dfe5de1aa"},"schema_version":"1.0","source":{"id":"2008.06170","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.06170","created_at":"2026-07-05T01:27:06Z"},{"alias_kind":"arxiv_version","alias_value":"2008.06170v1","created_at":"2026-07-05T01:27:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.06170","created_at":"2026-07-05T01:27:06Z"},{"alias_kind":"pith_short_12","alias_value":"SUFFCFQKSVVO","created_at":"2026-07-05T01:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"SUFFCFQKSVVOVIKW","created_at":"2026-07-05T01:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"SUFFCFQK","created_at":"2026-07-05T01:27:06Z"}],"graph_snapshots":[{"event_id":"sha256:37cbae085b8268739faa01aa7153d77a04405b0c857910f28b5511f0176438e4","target":"graph","created_at":"2026-07-05T01:27:06Z","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/2008.06170/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated learning (FL) is an emerging paradigm that enables multiple organizations to jointly train a model without revealing their private data to each other. This paper studies {\\it vertical} federated learning, which tackles the scenarios where (i) collaborating organizations own data of the same set of users but with disjoint features, and (ii) only one organization holds the labels. We propose Pivot, a novel solution for privacy preserving vertical decision tree training and prediction, ensuring that no intermediate information is disclosed other than those the clients have agreed to rel","authors_text":"Beng Chin Ooi, Gang Chen, Shaofeng Cai, Xiaokui Xiao, Yuncheng Wu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2020-08-14T02:32:36Z","title":"Privacy Preserving Vertical Federated Learning for Tree-based Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.06170","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":"sha256:60bc29172a7f7c9fc43f3ae6919c66d5f8ae6cab652f82a544ff1c3570072e5f","target":"record","created_at":"2026-07-05T01:27:06Z","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":"28865cdf65f6536a62055cada176b75fc1e4c182bbcd6a203dd24870c4b853fb","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2020-08-14T02:32:36Z","title_canon_sha256":"ac31c2b4176a3b032c4a7b6be5a7b91e4eb99000664ab701c1b7813dfe5de1aa"},"schema_version":"1.0","source":{"id":"2008.06170","kind":"arxiv","version":1}},"canonical_sha256":"950a51160a956aeaa156ffb22b7aa3e02c60476df218c1c67062c26e9db1f87e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"950a51160a956aeaa156ffb22b7aa3e02c60476df218c1c67062c26e9db1f87e","first_computed_at":"2026-07-05T01:27:06.284198Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:27:06.284198Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y38qxSlBvn5ZZfSuNT/SKBsf1Ef/01vq1JK2ZGByFjGCnivTdZj45rD6Lejy/e0f/AwHMmci96cV8sMsYmsTDg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:27:06.284709Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.06170","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:60bc29172a7f7c9fc43f3ae6919c66d5f8ae6cab652f82a544ff1c3570072e5f","sha256:37cbae085b8268739faa01aa7153d77a04405b0c857910f28b5511f0176438e4"],"state_sha256":"a8a720cc8e793e0a3e6f55ca002f5eab6341acb56ffcee4c7904eb497a859340"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XF/5hvY+C478Nhk1UMsR0RwHPtCPeIuAzMKMLJ4bOZXhWiiWV1Aq5qjkMiTrCdUaezsnP10foGXmaRWbx1VtBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T15:37:31.725138Z","bundle_sha256":"5261996a3743156d057f7d44be6aa2bef4dda3b58ea7ef72415c9814ac740f36"}}