{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4QAI3KCNNH2KZTZNOIRFX3ZIEU","short_pith_number":"pith:4QAI3KCN","canonical_record":{"source":{"id":"2507.09546","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2025-07-13T09:14:17Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0055dd75a95afa58fb017093f2c50d2910e4570be142bd97ae62e7743dc95b47","abstract_canon_sha256":"5c1a84b0d7b72e51799debfdd03441d7a56e86c2715b9d255cbc1722a89743a5"},"schema_version":"1.0"},"canonical_sha256":"e4008da84d69f4accf2d72225bef28252a6a6619b9a2c7b5dddff84240a36b81","source":{"kind":"arxiv","id":"2507.09546","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.09546","created_at":"2026-07-05T11:36:11Z"},{"alias_kind":"arxiv_version","alias_value":"2507.09546v1","created_at":"2026-07-05T11:36:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.09546","created_at":"2026-07-05T11:36:11Z"},{"alias_kind":"pith_short_12","alias_value":"4QAI3KCNNH2K","created_at":"2026-07-05T11:36:11Z"},{"alias_kind":"pith_short_16","alias_value":"4QAI3KCNNH2KZTZN","created_at":"2026-07-05T11:36:11Z"},{"alias_kind":"pith_short_8","alias_value":"4QAI3KCN","created_at":"2026-07-05T11:36:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4QAI3KCNNH2KZTZNOIRFX3ZIEU","target":"record","payload":{"canonical_record":{"source":{"id":"2507.09546","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2025-07-13T09:14:17Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0055dd75a95afa58fb017093f2c50d2910e4570be142bd97ae62e7743dc95b47","abstract_canon_sha256":"5c1a84b0d7b72e51799debfdd03441d7a56e86c2715b9d255cbc1722a89743a5"},"schema_version":"1.0"},"canonical_sha256":"e4008da84d69f4accf2d72225bef28252a6a6619b9a2c7b5dddff84240a36b81","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:36:11.071776Z","signature_b64":"EftsoPjidG+gKMQTeyvk3r8pEg23z2K8b1+0odxruUsMyYgrJ/Q0XUZAnwWSC51UnsE0mHblaLyJLU7Na7CjCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e4008da84d69f4accf2d72225bef28252a6a6619b9a2c7b5dddff84240a36b81","last_reissued_at":"2026-07-05T11:36:11.071343Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:36:11.071343Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.09546","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":"2026-07-05T11:36:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j5p4eoYBdrFp4FDY41BkwX1NeV/t5hUJQ97c0wdMxyW9O+G9q82UPtM2H0eHNIu6TKSIwxldzdmIN75VLzznAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:55:11.137646Z"},"content_sha256":"12e4b227c45ff01157447c959f430dc468a6f9bcdd185b44d8e5a9fd0612aca5","schema_version":"1.0","event_id":"sha256:12e4b227c45ff01157447c959f430dc468a6f9bcdd185b44d8e5a9fd0612aca5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4QAI3KCNNH2KZTZNOIRFX3ZIEU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Lightweight Federated Learning over Wireless Edge Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.DC","authors_text":"Chunxiao Jiang, Dusit Niyato, Jingjing Wang, Jun Du, Xiangwang Hou, Yong Ren","submitted_at":"2025-07-13T09:14:17Z","abstract_excerpt":"With the exponential growth of smart devices connected to wireless networks, data production is increasing rapidly, requiring machine learning (ML) techniques to unlock its value. However, the centralized ML paradigm raises concerns over communication overhead and privacy. Federated learning (FL) offers an alternative at the network edge, but practical deployment in wireless networks remains challenging. This paper proposes a lightweight FL (LTFL) framework integrating wireless transmission power control, model pruning, and gradient quantization. We derive a closed-form expression of the FL co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.09546","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/2507.09546/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":"2026-07-05T11:36:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BO/VPSrPIR3VtbJuKeSiR7zXURu2IP799ATx9gOROI9xBWtRZ9BkAQDaJjTTzVdr6tQHVQKojJnPS2L5Vm4BAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:55:11.138529Z"},"content_sha256":"8dbcda32a5636d202535390b893ffb22cb5288fee6cde7ba1551609afff58acc","schema_version":"1.0","event_id":"sha256:8dbcda32a5636d202535390b893ffb22cb5288fee6cde7ba1551609afff58acc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4QAI3KCNNH2KZTZNOIRFX3ZIEU/bundle.json","state_url":"https://pith.science/pith/4QAI3KCNNH2KZTZNOIRFX3ZIEU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4QAI3KCNNH2KZTZNOIRFX3ZIEU/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":"2026-08-08T14:55:11Z","links":{"resolver":"https://pith.science/pith/4QAI3KCNNH2KZTZNOIRFX3ZIEU","bundle":"https://pith.science/pith/4QAI3KCNNH2KZTZNOIRFX3ZIEU/bundle.json","state":"https://pith.science/pith/4QAI3KCNNH2KZTZNOIRFX3ZIEU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4QAI3KCNNH2KZTZNOIRFX3ZIEU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4QAI3KCNNH2KZTZNOIRFX3ZIEU","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":"5c1a84b0d7b72e51799debfdd03441d7a56e86c2715b9d255cbc1722a89743a5","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2025-07-13T09:14:17Z","title_canon_sha256":"0055dd75a95afa58fb017093f2c50d2910e4570be142bd97ae62e7743dc95b47"},"schema_version":"1.0","source":{"id":"2507.09546","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.09546","created_at":"2026-07-05T11:36:11Z"},{"alias_kind":"arxiv_version","alias_value":"2507.09546v1","created_at":"2026-07-05T11:36:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.09546","created_at":"2026-07-05T11:36:11Z"},{"alias_kind":"pith_short_12","alias_value":"4QAI3KCNNH2K","created_at":"2026-07-05T11:36:11Z"},{"alias_kind":"pith_short_16","alias_value":"4QAI3KCNNH2KZTZN","created_at":"2026-07-05T11:36:11Z"},{"alias_kind":"pith_short_8","alias_value":"4QAI3KCN","created_at":"2026-07-05T11:36:11Z"}],"graph_snapshots":[{"event_id":"sha256:8dbcda32a5636d202535390b893ffb22cb5288fee6cde7ba1551609afff58acc","target":"graph","created_at":"2026-07-05T11:36:11Z","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/2507.09546/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the exponential growth of smart devices connected to wireless networks, data production is increasing rapidly, requiring machine learning (ML) techniques to unlock its value. However, the centralized ML paradigm raises concerns over communication overhead and privacy. Federated learning (FL) offers an alternative at the network edge, but practical deployment in wireless networks remains challenging. This paper proposes a lightweight FL (LTFL) framework integrating wireless transmission power control, model pruning, and gradient quantization. We derive a closed-form expression of the FL co","authors_text":"Chunxiao Jiang, Dusit Niyato, Jingjing Wang, Jun Du, Xiangwang Hou, Yong Ren","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2025-07-13T09:14:17Z","title":"Lightweight Federated Learning over Wireless Edge Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.09546","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":"sha256:12e4b227c45ff01157447c959f430dc468a6f9bcdd185b44d8e5a9fd0612aca5","target":"record","created_at":"2026-07-05T11:36:11Z","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":"5c1a84b0d7b72e51799debfdd03441d7a56e86c2715b9d255cbc1722a89743a5","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2025-07-13T09:14:17Z","title_canon_sha256":"0055dd75a95afa58fb017093f2c50d2910e4570be142bd97ae62e7743dc95b47"},"schema_version":"1.0","source":{"id":"2507.09546","kind":"arxiv","version":1}},"canonical_sha256":"e4008da84d69f4accf2d72225bef28252a6a6619b9a2c7b5dddff84240a36b81","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e4008da84d69f4accf2d72225bef28252a6a6619b9a2c7b5dddff84240a36b81","first_computed_at":"2026-07-05T11:36:11.071343Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:36:11.071343Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EftsoPjidG+gKMQTeyvk3r8pEg23z2K8b1+0odxruUsMyYgrJ/Q0XUZAnwWSC51UnsE0mHblaLyJLU7Na7CjCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:36:11.071776Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.09546","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:12e4b227c45ff01157447c959f430dc468a6f9bcdd185b44d8e5a9fd0612aca5","sha256:8dbcda32a5636d202535390b893ffb22cb5288fee6cde7ba1551609afff58acc"],"state_sha256":"8949b40e34b164413775a69a480cf499362aa7add22767bc2169c013ad194422"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K1v2RyMIKR4cDrByP0eG6B7rVd81s/t7hfEESVoEyO0vhWuo444lCEy2AdD+eOyFpTt6x/b3eLSUbErsycx5DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T14:55:11.144954Z","bundle_sha256":"28d55f3d6a2f26890d28a19bb99e2ee5f2a002703ef4b7de3e8622951212b4d7"}}