{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:T65DPFU2YTZL3LQMF3NT5K2FVL","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":"8f9d84902273133691024e63aa333bd0a373cf52868944144c38b099cfde3a92","cross_cats_sorted":["cs.CV","cs.DC","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-07T17:00:47Z","title_canon_sha256":"0b07d194f1d1f803da12f939c0cc97bc0a42b82177794e7ed58ef61593007256"},"schema_version":"1.0","source":{"id":"2508.05568","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.05568","created_at":"2026-07-05T11:50:40Z"},{"alias_kind":"arxiv_version","alias_value":"2508.05568v2","created_at":"2026-07-05T11:50:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.05568","created_at":"2026-07-05T11:50:40Z"},{"alias_kind":"pith_short_12","alias_value":"T65DPFU2YTZL","created_at":"2026-07-05T11:50:40Z"},{"alias_kind":"pith_short_16","alias_value":"T65DPFU2YTZL3LQM","created_at":"2026-07-05T11:50:40Z"},{"alias_kind":"pith_short_8","alias_value":"T65DPFU2","created_at":"2026-07-05T11:50:40Z"}],"graph_snapshots":[{"event_id":"sha256:8bfacf27733e52f47f622c0e77eeba3568284d6208c217c986732afbc622afe9","target":"graph","created_at":"2026-07-05T11:50:40Z","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/2508.05568/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vertical Federated Learning (VFL) enables collaborative learning by integrating disjoint feature subsets from multiple clients/parties. However, VFL typically faces two key challenges: i) the requirement for perfectly aligned data samples across all clients (missing features are not allowed); ii) the requirement for joint collaborative inference/prediction involving all clients (it does not support locally independent inference on a single client). To address these challenges, we propose X-VFL, a new VFL framework designed to deal with the non-aligned data samples with (partially) missing feat","authors_text":"Qinghua Yao, XiangRui Xu, Zhize Li","cross_cats":["cs.CV","cs.DC","math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-07T17:00:47Z","title":"X-VFL: A New Vertical Federated Learning Framework with Cross Completion and Decision Subspace Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.05568","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:b072cac68d5198b3ddcb3deff27315685b0d94644da3f673d9f7215d659d5cb3","target":"record","created_at":"2026-07-05T11:50:40Z","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":"8f9d84902273133691024e63aa333bd0a373cf52868944144c38b099cfde3a92","cross_cats_sorted":["cs.CV","cs.DC","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-07T17:00:47Z","title_canon_sha256":"0b07d194f1d1f803da12f939c0cc97bc0a42b82177794e7ed58ef61593007256"},"schema_version":"1.0","source":{"id":"2508.05568","kind":"arxiv","version":2}},"canonical_sha256":"9fba37969ac4f2bdae0c2edb3eab45aac71c3feb558ab858b458148e866064d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9fba37969ac4f2bdae0c2edb3eab45aac71c3feb558ab858b458148e866064d9","first_computed_at":"2026-07-05T11:50:40.573199Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:50:40.573199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Txv7mi1tNlHP2oZZEuleIMmpEZyf7hsGjqqzzLNkSAmgx7HnSnHLyM/vXBPf7pJIbtCIqVr78JEOdFHMKDKdBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:50:40.573627Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.05568","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b072cac68d5198b3ddcb3deff27315685b0d94644da3f673d9f7215d659d5cb3","sha256:8bfacf27733e52f47f622c0e77eeba3568284d6208c217c986732afbc622afe9"],"state_sha256":"f977a8dcd11c7194ad0b339db9a8eb75d34f95efc8ebd51d992335dc01d1a005"}