{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OH6IDQYPLM5QFLCGH3TX6VBFO4","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":"87354d29985e4e6dde71827cc84752cafaf4e4334acac1e74836f59b3f5c3ab9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-17T06:28:43Z","title_canon_sha256":"24e35ca68b551a0d96253de4f2b5a68084072d35faf62632070e3c533246f872"},"schema_version":"1.0","source":{"id":"2501.17874","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.17874","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"arxiv_version","alias_value":"2501.17874v1","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.17874","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"pith_short_12","alias_value":"OH6IDQYPLM5Q","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"pith_short_16","alias_value":"OH6IDQYPLM5QFLCG","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"pith_short_8","alias_value":"OH6IDQYP","created_at":"2026-07-05T10:07:03Z"}],"graph_snapshots":[{"event_id":"sha256:e0cdc1e069940ee2d1545d7c2c320de08424447fd5a5289f02f628bc3431c189","target":"graph","created_at":"2026-07-05T10:07:03Z","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/2501.17874/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Wireless devices are expected to provide a wide range of AI services in 6G networks. The increasing computing capabilities of wireless devices and the surge of wireless data motivate the use of privacy-preserving federated learning (FL). In contrast to centralized learning that requires sending large amounts of raw data during uplink transmission, only local model parameters are uploaded in FL. Meanwhile, over-the-air (OtA) computation is considered as a communication-efficient solution for fast FL model aggregation by exploiting the superposition properties of wireless multi-access channels. ","authors_text":"Carlo Fischione, Chen Chen, Emil Bj\\\"ornson","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-17T06:28:43Z","title":"Multi-Task Over-the-Air Federated Learning in Cell-Free Massive MIMO Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.17874","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":"sha256:2af783312dbc0bf9cb24e04bf1bdb99e174f06fcdaf3e4572b9b4d493f85b22b","target":"record","created_at":"2026-07-05T10:07:03Z","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":"87354d29985e4e6dde71827cc84752cafaf4e4334acac1e74836f59b3f5c3ab9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-17T06:28:43Z","title_canon_sha256":"24e35ca68b551a0d96253de4f2b5a68084072d35faf62632070e3c533246f872"},"schema_version":"1.0","source":{"id":"2501.17874","kind":"arxiv","version":1}},"canonical_sha256":"71fc81c30f5b3b02ac463ee77f5425770c6e549652404661597a7358f95cefa3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71fc81c30f5b3b02ac463ee77f5425770c6e549652404661597a7358f95cefa3","first_computed_at":"2026-07-05T10:07:03.239155Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:07:03.239155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oEBqhNaIAGKW/7mXOIk/pjkGhOtNiUDl+PtWpCuo9Scvx2IAvPTER+1GaTGvnWDNxI4/uaKo1w/VFRp94cDLBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:07:03.239697Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.17874","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2af783312dbc0bf9cb24e04bf1bdb99e174f06fcdaf3e4572b9b4d493f85b22b","sha256:e0cdc1e069940ee2d1545d7c2c320de08424447fd5a5289f02f628bc3431c189"],"state_sha256":"872abe617a409489123b3a927f41dce0a71946987fa07917a86655c435ea5912"}