{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:J3LAEZAANWQYC6RIKLGIA3F4DY","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":"0ada60d5dafda7eef60db193964461d0fa9c85d4d626998a75f8c73df2d21550","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-19T04:29:17Z","title_canon_sha256":"c55d56439da6c5d4e10532e0789c2b9053a02972ee4e24fb718bc4e3994d4ebf"},"schema_version":"1.0","source":{"id":"2501.10941","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.10941","created_at":"2026-07-05T10:30:30Z"},{"alias_kind":"arxiv_version","alias_value":"2501.10941v2","created_at":"2026-07-05T10:30:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.10941","created_at":"2026-07-05T10:30:30Z"},{"alias_kind":"pith_short_12","alias_value":"J3LAEZAANWQY","created_at":"2026-07-05T10:30:30Z"},{"alias_kind":"pith_short_16","alias_value":"J3LAEZAANWQYC6RI","created_at":"2026-07-05T10:30:30Z"},{"alias_kind":"pith_short_8","alias_value":"J3LAEZAA","created_at":"2026-07-05T10:30:30Z"}],"graph_snapshots":[{"event_id":"sha256:6a4cd53dd889751d38576c4dd9fd97c5e5d35cef11e79f24004a47a4ba315563","target":"graph","created_at":"2026-07-05T10:30:30Z","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/2501.10941/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High complexity in precoding design for frequency division duplex systems necessitates streamlined solutions. Guided by Synesthesia of Machines (SoM), this paper introduces a heterogeneous multi-vehicle, multi-modal sensing aided precoding scheme within a vertical federated learning (VFL) framework, which significantly minimizes pilot sequence length while optimizing the system's sum rate. We address the challenges posed by local data heterogeneity due to varying on-board sensor configurations through a meticulously designed VFL training procedure. To extract valuable channel features from mul","authors_text":"Haotian Zhang, Shijian Gao, Weibo Wen, Xiang Cheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-19T04:29:17Z","title":"Synesthesia of Machines (SoM)-Aided FDD Precoding with Sensing Heterogeneity: A Vertical Federated Learning Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.10941","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":"sha256:2c9d6604790bccfe6b7b08db69ff5c92843d45b8fa92c770c3047e44fe10798a","target":"record","created_at":"2026-07-05T10:30:30Z","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":"0ada60d5dafda7eef60db193964461d0fa9c85d4d626998a75f8c73df2d21550","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-19T04:29:17Z","title_canon_sha256":"c55d56439da6c5d4e10532e0789c2b9053a02972ee4e24fb718bc4e3994d4ebf"},"schema_version":"1.0","source":{"id":"2501.10941","kind":"arxiv","version":2}},"canonical_sha256":"4ed60264006da1817a2852cc806cbc1e3663ffce3a2c57b6682373efb86f1f50","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4ed60264006da1817a2852cc806cbc1e3663ffce3a2c57b6682373efb86f1f50","first_computed_at":"2026-07-05T10:30:30.309368Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:30:30.309368Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xpBZvHVEDqRilZo2kDxNzXxDzo//y9RFbjShGmTQBx6Cm8nZCMzBpAKTRor6Zxb3Z32m45nD4Jz5S8zOMQgwAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:30:30.310615Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.10941","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2c9d6604790bccfe6b7b08db69ff5c92843d45b8fa92c770c3047e44fe10798a","sha256:6a4cd53dd889751d38576c4dd9fd97c5e5d35cef11e79f24004a47a4ba315563"],"state_sha256":"41bdd2b5149e4b16583aa629cfb2edab254c2985cdba2447ea28e7d11583d22a"}