{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ETESCPQA4YRN4LDO3CAS3MS5C2","short_pith_number":"pith:ETESCPQA","canonical_record":{"source":{"id":"2308.09072","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-17T16:01:02Z","cross_cats_sorted":[],"title_canon_sha256":"4f07d72bc1c9f1cf0114d62b33feb2e55fa64724619cff1fe043116411f40a78","abstract_canon_sha256":"e1b5bac9c9e02481f22f438e273b6a5b6ab384e6c8a1e6db65244bf7254dcda3"},"schema_version":"1.0"},"canonical_sha256":"24c9213e00e622de2c6ed8812db25d16a7cc83da09f35e9969f1e4209a995918","source":{"kind":"arxiv","id":"2308.09072","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.09072","created_at":"2026-07-05T06:42:27Z"},{"alias_kind":"arxiv_version","alias_value":"2308.09072v1","created_at":"2026-07-05T06:42:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.09072","created_at":"2026-07-05T06:42:27Z"},{"alias_kind":"pith_short_12","alias_value":"ETESCPQA4YRN","created_at":"2026-07-05T06:42:27Z"},{"alias_kind":"pith_short_16","alias_value":"ETESCPQA4YRN4LDO","created_at":"2026-07-05T06:42:27Z"},{"alias_kind":"pith_short_8","alias_value":"ETESCPQA","created_at":"2026-07-05T06:42:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ETESCPQA4YRN4LDO3CAS3MS5C2","target":"record","payload":{"canonical_record":{"source":{"id":"2308.09072","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-17T16:01:02Z","cross_cats_sorted":[],"title_canon_sha256":"4f07d72bc1c9f1cf0114d62b33feb2e55fa64724619cff1fe043116411f40a78","abstract_canon_sha256":"e1b5bac9c9e02481f22f438e273b6a5b6ab384e6c8a1e6db65244bf7254dcda3"},"schema_version":"1.0"},"canonical_sha256":"24c9213e00e622de2c6ed8812db25d16a7cc83da09f35e9969f1e4209a995918","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:42:27.197975Z","signature_b64":"x0l3Ms7uoeLqjddEjIw45Lsz9qkJfic0Fs8dL5BM5DOW+1oo52ofpAYAbU3yZpEfNWrps1j4JsjWxIdnaRMGDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"24c9213e00e622de2c6ed8812db25d16a7cc83da09f35e9969f1e4209a995918","last_reissued_at":"2026-07-05T06:42:27.197482Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:42:27.197482Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.09072","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":"2026-07-05T06:42:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JnCz9V/ccxkgbwEvUB4Hz2Rnl6pDxK+THgj5Dlghvzqiyl4ySGxs/nRo6+LnusTovcDB3w9oQ2WBzYNack7fCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T13:46:23.547350Z"},"content_sha256":"a13387f3410cdf3e49ffc01dce249c9464534033ccfc788b3304cc5e308447d6","schema_version":"1.0","event_id":"sha256:a13387f3410cdf3e49ffc01dce249c9464534033ccfc788b3304cc5e308447d6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ETESCPQA4YRN4LDO3CAS3MS5C2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Joint Power Control and Data Size Selection for Over-the-Air Computation Aided Federated Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Hai Jiang, Han Hu, Ning Zhang, Rongfei Fan, Shiyuan Zuo, Xuming An","submitted_at":"2023-08-17T16:01:02Z","abstract_excerpt":"Federated learning (FL) has emerged as an appealing machine learning approach to deal with massive raw data generated at multiple mobile devices, {which needs to aggregate the training model parameter of every mobile device at one base station (BS) iteratively}. For parameter aggregating in FL, over-the-air computation is a spectrum-efficient solution, which allows all mobile devices to transmit their parameter-mapped signals concurrently to a BS. Due to heterogeneous channel fading and noise, there exists difference between the BS's received signal and its desired signal, measured as the mean"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.09072","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/2308.09072/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":"2026-07-05T06:42:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w8P2zc2dAYGNwInfE4tA1rhhni5Q+0gnJ7pBN74wfxKOKg9u2J5qMMPHjmeTPnxjLhmNZYm/MSNszOVvMXR3Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T13:46:23.547728Z"},"content_sha256":"0f56aea0310e3fe36ccaa1bf3b0f30f4bc3cf84f66c16c3ef8dafa3ed47326de","schema_version":"1.0","event_id":"sha256:0f56aea0310e3fe36ccaa1bf3b0f30f4bc3cf84f66c16c3ef8dafa3ed47326de"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ETESCPQA4YRN4LDO3CAS3MS5C2/bundle.json","state_url":"https://pith.science/pith/ETESCPQA4YRN4LDO3CAS3MS5C2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ETESCPQA4YRN4LDO3CAS3MS5C2/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":"2026-07-10T13:46:23Z","links":{"resolver":"https://pith.science/pith/ETESCPQA4YRN4LDO3CAS3MS5C2","bundle":"https://pith.science/pith/ETESCPQA4YRN4LDO3CAS3MS5C2/bundle.json","state":"https://pith.science/pith/ETESCPQA4YRN4LDO3CAS3MS5C2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ETESCPQA4YRN4LDO3CAS3MS5C2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ETESCPQA4YRN4LDO3CAS3MS5C2","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":"e1b5bac9c9e02481f22f438e273b6a5b6ab384e6c8a1e6db65244bf7254dcda3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-17T16:01:02Z","title_canon_sha256":"4f07d72bc1c9f1cf0114d62b33feb2e55fa64724619cff1fe043116411f40a78"},"schema_version":"1.0","source":{"id":"2308.09072","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.09072","created_at":"2026-07-05T06:42:27Z"},{"alias_kind":"arxiv_version","alias_value":"2308.09072v1","created_at":"2026-07-05T06:42:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.09072","created_at":"2026-07-05T06:42:27Z"},{"alias_kind":"pith_short_12","alias_value":"ETESCPQA4YRN","created_at":"2026-07-05T06:42:27Z"},{"alias_kind":"pith_short_16","alias_value":"ETESCPQA4YRN4LDO","created_at":"2026-07-05T06:42:27Z"},{"alias_kind":"pith_short_8","alias_value":"ETESCPQA","created_at":"2026-07-05T06:42:27Z"}],"graph_snapshots":[{"event_id":"sha256:0f56aea0310e3fe36ccaa1bf3b0f30f4bc3cf84f66c16c3ef8dafa3ed47326de","target":"graph","created_at":"2026-07-05T06:42:27Z","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/2308.09072/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated learning (FL) has emerged as an appealing machine learning approach to deal with massive raw data generated at multiple mobile devices, {which needs to aggregate the training model parameter of every mobile device at one base station (BS) iteratively}. For parameter aggregating in FL, over-the-air computation is a spectrum-efficient solution, which allows all mobile devices to transmit their parameter-mapped signals concurrently to a BS. Due to heterogeneous channel fading and noise, there exists difference between the BS's received signal and its desired signal, measured as the mean","authors_text":"Hai Jiang, Han Hu, Ning Zhang, Rongfei Fan, Shiyuan Zuo, Xuming An","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-17T16:01:02Z","title":"Joint Power Control and Data Size Selection for Over-the-Air Computation Aided Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.09072","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:a13387f3410cdf3e49ffc01dce249c9464534033ccfc788b3304cc5e308447d6","target":"record","created_at":"2026-07-05T06:42:27Z","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":"e1b5bac9c9e02481f22f438e273b6a5b6ab384e6c8a1e6db65244bf7254dcda3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-17T16:01:02Z","title_canon_sha256":"4f07d72bc1c9f1cf0114d62b33feb2e55fa64724619cff1fe043116411f40a78"},"schema_version":"1.0","source":{"id":"2308.09072","kind":"arxiv","version":1}},"canonical_sha256":"24c9213e00e622de2c6ed8812db25d16a7cc83da09f35e9969f1e4209a995918","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24c9213e00e622de2c6ed8812db25d16a7cc83da09f35e9969f1e4209a995918","first_computed_at":"2026-07-05T06:42:27.197482Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:42:27.197482Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x0l3Ms7uoeLqjddEjIw45Lsz9qkJfic0Fs8dL5BM5DOW+1oo52ofpAYAbU3yZpEfNWrps1j4JsjWxIdnaRMGDg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:42:27.197975Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.09072","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a13387f3410cdf3e49ffc01dce249c9464534033ccfc788b3304cc5e308447d6","sha256:0f56aea0310e3fe36ccaa1bf3b0f30f4bc3cf84f66c16c3ef8dafa3ed47326de"],"state_sha256":"0a1bf94242c337ff1d3d085a1eb26d46aa84380d8317be495c80b94d8b7e799b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rCbrTpcnm8JYq2LB6Nb0roYtEJVD1QqpE2IBTra+i+9+33CW6wPXiWD6vdgKk/taSA4YD7mfz5omjalt/BzoAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T13:46:23.549611Z","bundle_sha256":"7a6cccc5fa3469752ac65a538581a7641008230e737b2e150a30f05114bd7d25"}}