{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:3VKIK2YG7AFZKNVEKNM5LN3PRF","short_pith_number":"pith:3VKIK2YG","canonical_record":{"source":{"id":"2508.08278","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-01T03:07:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"13b7f8f409d6161a3dfc2e5448d84391e627b8039a9307d2781bbabcd17db54a","abstract_canon_sha256":"444852f1f9ae6a38fb949c8d9301c3e5eccef584d01069850b07fa7d02dd68cf"},"schema_version":"1.0"},"canonical_sha256":"dd54856b06f80b9536a45359d5b76f8961a9514d58bb57ed5255dbc974e8998a","source":{"kind":"arxiv","id":"2508.08278","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.08278","created_at":"2026-07-05T11:52:25Z"},{"alias_kind":"arxiv_version","alias_value":"2508.08278v1","created_at":"2026-07-05T11:52:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.08278","created_at":"2026-07-05T11:52:25Z"},{"alias_kind":"pith_short_12","alias_value":"3VKIK2YG7AFZ","created_at":"2026-07-05T11:52:25Z"},{"alias_kind":"pith_short_16","alias_value":"3VKIK2YG7AFZKNVE","created_at":"2026-07-05T11:52:25Z"},{"alias_kind":"pith_short_8","alias_value":"3VKIK2YG","created_at":"2026-07-05T11:52:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:3VKIK2YG7AFZKNVEKNM5LN3PRF","target":"record","payload":{"canonical_record":{"source":{"id":"2508.08278","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-01T03:07:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"13b7f8f409d6161a3dfc2e5448d84391e627b8039a9307d2781bbabcd17db54a","abstract_canon_sha256":"444852f1f9ae6a38fb949c8d9301c3e5eccef584d01069850b07fa7d02dd68cf"},"schema_version":"1.0"},"canonical_sha256":"dd54856b06f80b9536a45359d5b76f8961a9514d58bb57ed5255dbc974e8998a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:52:25.226096Z","signature_b64":"jymaEeWlx/J6gYB6Ihh8oM20/4YgNHDN2aEt7W9aSt39esbD8ffnDaGuDxt7zeuO+pOBR65f+pHzh6mAs4lZCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd54856b06f80b9536a45359d5b76f8961a9514d58bb57ed5255dbc974e8998a","last_reissued_at":"2026-07-05T11:52:25.225615Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:52:25.225615Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.08278","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":"2026-07-05T11:52:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8yEvnk8nFiO5pCNICN5NnraErOM0+tx2jQHeIm+RKsi+retuvXnNS//eBhP+0j/3shyZBCuZzdRdm9S4/P5xBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:36:39.913278Z"},"content_sha256":"df483bae74e0bb2c093397b7d58bc6456a9cd5d54aa002186e96843beeb8a0c1","schema_version":"1.0","event_id":"sha256:df483bae74e0bb2c093397b7d58bc6456a9cd5d54aa002186e96843beeb8a0c1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:3VKIK2YG7AFZKNVEKNM5LN3PRF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Jiong Jin, Libing Wu, Shiping Chen, Tiehua Zhang, Yuze Liu, Zhishu Shen","submitted_at":"2025-08-01T03:07:32Z","abstract_excerpt":"Federated learning (FL) has emerged as a promising paradigm within edge computing (EC) systems, enabling numerous edge devices to collaboratively train artificial intelligence (AI) models while maintaining data privacy. To overcome the communication bottlenecks associated with centralized parameter servers, decentralized federated learning (DFL), which leverages peer-to-peer (P2P) communication, has been extensively explored in the research community. Although researchers design a variety of DFL approach to ensure model convergence, its iterative learning process inevitably incurs considerable"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.08278","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/2508.08278/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":"2026-07-05T11:52:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GrXR67f0aM84ZOnIgRyVSHZVslLvLTZMma9SlTYCXMoNMUWhEo1amrIJFsSvgbsfGjUJXhiWpw7hs91FzQaGAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:36:39.913681Z"},"content_sha256":"bebe5450ef1d7f36c67d79b3ddebac2b850b9c811a6e2a509c69ed7746bd9bba","schema_version":"1.0","event_id":"sha256:bebe5450ef1d7f36c67d79b3ddebac2b850b9c811a6e2a509c69ed7746bd9bba"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3VKIK2YG7AFZKNVEKNM5LN3PRF/bundle.json","state_url":"https://pith.science/pith/3VKIK2YG7AFZKNVEKNM5LN3PRF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3VKIK2YG7AFZKNVEKNM5LN3PRF/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":"2026-07-07T12:36:39Z","links":{"resolver":"https://pith.science/pith/3VKIK2YG7AFZKNVEKNM5LN3PRF","bundle":"https://pith.science/pith/3VKIK2YG7AFZKNVEKNM5LN3PRF/bundle.json","state":"https://pith.science/pith/3VKIK2YG7AFZKNVEKNM5LN3PRF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3VKIK2YG7AFZKNVEKNM5LN3PRF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3VKIK2YG7AFZKNVEKNM5LN3PRF","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":"444852f1f9ae6a38fb949c8d9301c3e5eccef584d01069850b07fa7d02dd68cf","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-01T03:07:32Z","title_canon_sha256":"13b7f8f409d6161a3dfc2e5448d84391e627b8039a9307d2781bbabcd17db54a"},"schema_version":"1.0","source":{"id":"2508.08278","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.08278","created_at":"2026-07-05T11:52:25Z"},{"alias_kind":"arxiv_version","alias_value":"2508.08278v1","created_at":"2026-07-05T11:52:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.08278","created_at":"2026-07-05T11:52:25Z"},{"alias_kind":"pith_short_12","alias_value":"3VKIK2YG7AFZ","created_at":"2026-07-05T11:52:25Z"},{"alias_kind":"pith_short_16","alias_value":"3VKIK2YG7AFZKNVE","created_at":"2026-07-05T11:52:25Z"},{"alias_kind":"pith_short_8","alias_value":"3VKIK2YG","created_at":"2026-07-05T11:52:25Z"}],"graph_snapshots":[{"event_id":"sha256:bebe5450ef1d7f36c67d79b3ddebac2b850b9c811a6e2a509c69ed7746bd9bba","target":"graph","created_at":"2026-07-05T11:52:25Z","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/2508.08278/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated learning (FL) has emerged as a promising paradigm within edge computing (EC) systems, enabling numerous edge devices to collaboratively train artificial intelligence (AI) models while maintaining data privacy. To overcome the communication bottlenecks associated with centralized parameter servers, decentralized federated learning (DFL), which leverages peer-to-peer (P2P) communication, has been extensively explored in the research community. Although researchers design a variety of DFL approach to ensure model convergence, its iterative learning process inevitably incurs considerable","authors_text":"Jiong Jin, Libing Wu, Shiping Chen, Tiehua Zhang, Yuze Liu, Zhishu Shen","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-01T03:07:32Z","title":"Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.08278","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:df483bae74e0bb2c093397b7d58bc6456a9cd5d54aa002186e96843beeb8a0c1","target":"record","created_at":"2026-07-05T11:52:25Z","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":"444852f1f9ae6a38fb949c8d9301c3e5eccef584d01069850b07fa7d02dd68cf","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-01T03:07:32Z","title_canon_sha256":"13b7f8f409d6161a3dfc2e5448d84391e627b8039a9307d2781bbabcd17db54a"},"schema_version":"1.0","source":{"id":"2508.08278","kind":"arxiv","version":1}},"canonical_sha256":"dd54856b06f80b9536a45359d5b76f8961a9514d58bb57ed5255dbc974e8998a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd54856b06f80b9536a45359d5b76f8961a9514d58bb57ed5255dbc974e8998a","first_computed_at":"2026-07-05T11:52:25.225615Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:52:25.225615Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jymaEeWlx/J6gYB6Ihh8oM20/4YgNHDN2aEt7W9aSt39esbD8ffnDaGuDxt7zeuO+pOBR65f+pHzh6mAs4lZCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:52:25.226096Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.08278","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df483bae74e0bb2c093397b7d58bc6456a9cd5d54aa002186e96843beeb8a0c1","sha256:bebe5450ef1d7f36c67d79b3ddebac2b850b9c811a6e2a509c69ed7746bd9bba"],"state_sha256":"9a3a5185316501ea3b214f58aac6c7ceef934db775a91202f7163ac28fff6add"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1xFzK6gwcfvFquYY7qg2qDWS3v2FWgPEMisHCgvzAwvz0cJPhFEpTJaBju3bPnDVJtdB2Bdlp/GK9Gr+TRwOAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T12:36:39.915656Z","bundle_sha256":"d74e7f40cfdce5437d7e9e6d730f244a25bcc03112f92375d29c4a44a1825e60"}}