{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:UNSOJGGMRDXJ4IGD6GTHSEIPAB","short_pith_number":"pith:UNSOJGGM","canonical_record":{"source":{"id":"2210.14700","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2022-10-26T13:29:40Z","cross_cats_sorted":[],"title_canon_sha256":"1df01ccb1acbf32f904af646bb078ab65147452c3563ba567a58a24073d8d93f","abstract_canon_sha256":"061c542b7bf2a48e0a0c95dfe4ccd2bdc8f19df928c6591a60fc5bf226f1e6e5"},"schema_version":"1.0"},"canonical_sha256":"a364e498cc88ee9e20c3f1a679110f0075eeb9aa7be9fe69288ee43a4bb69bc2","source":{"kind":"arxiv","id":"2210.14700","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.14700","created_at":"2026-07-05T05:10:48Z"},{"alias_kind":"arxiv_version","alias_value":"2210.14700v1","created_at":"2026-07-05T05:10:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.14700","created_at":"2026-07-05T05:10:48Z"},{"alias_kind":"pith_short_12","alias_value":"UNSOJGGMRDXJ","created_at":"2026-07-05T05:10:48Z"},{"alias_kind":"pith_short_16","alias_value":"UNSOJGGMRDXJ4IGD","created_at":"2026-07-05T05:10:48Z"},{"alias_kind":"pith_short_8","alias_value":"UNSOJGGM","created_at":"2026-07-05T05:10:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:UNSOJGGMRDXJ4IGD6GTHSEIPAB","target":"record","payload":{"canonical_record":{"source":{"id":"2210.14700","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2022-10-26T13:29:40Z","cross_cats_sorted":[],"title_canon_sha256":"1df01ccb1acbf32f904af646bb078ab65147452c3563ba567a58a24073d8d93f","abstract_canon_sha256":"061c542b7bf2a48e0a0c95dfe4ccd2bdc8f19df928c6591a60fc5bf226f1e6e5"},"schema_version":"1.0"},"canonical_sha256":"a364e498cc88ee9e20c3f1a679110f0075eeb9aa7be9fe69288ee43a4bb69bc2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:10:48.690040Z","signature_b64":"jlDhgDhApXoS/P50m3VDT+frLWRAf3wBknaWTXRkvXS/Dg5hblDqvuWeNv3FMcZh59DO5I6E6qFIfGBBBHNDDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a364e498cc88ee9e20c3f1a679110f0075eeb9aa7be9fe69288ee43a4bb69bc2","last_reissued_at":"2026-07-05T05:10:48.689637Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:10:48.689637Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.14700","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":"2026-07-05T05:10:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f2CqDkfup3UxxA+o7hsrQiPocRlqs1ai7aCE2YSPlgRNOg+0Wh1j7a8eLzca1TSgACgiB9nVQRdC9AJddtJECw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T06:39:32.937188Z"},"content_sha256":"315e7c5fef3e318b7612215bb77ff8d633cc03a7bac7ea5498190b1febc06105","schema_version":"1.0","event_id":"sha256:315e7c5fef3e318b7612215bb77ff8d633cc03a7bac7ea5498190b1febc06105"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:UNSOJGGMRDXJ4IGD6GTHSEIPAB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Chuan Ma, Jun Li, Kang Wei, Long Shi, Ming Ding, Wen Chen, Xiumei Deng","submitted_at":"2022-10-26T13:29:40Z","abstract_excerpt":"Federated Learning (FL) empowers Industrial Internet of Things (IIoT) with distributed intelligence of industrial automation thanks to its capability of distributed machine learning without any raw data exchange. However, it is rather challenging for lightweight IIoT devices to perform computation-intensive local model training over large-scale deep neural networks (DNNs). Driven by this issue, we develop a communication-computation efficient FL framework for resource-limited IIoT networks that integrates DNN partition technique into the standard FL mechanism, wherein IIoT devices perform loca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.14700","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/2210.14700/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":"2026-07-05T05:10:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mKqateYwrYCfh97QSplaDA8wn7HJ0UFG1kVFKe6uVg7ds8zbjxljPMSQyN/4JIraDlL0X6NJXtsMvD53bq2JCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T06:39:32.937557Z"},"content_sha256":"8b141930f17817437cf65aa0c93ef69c3990f7ca656d1da1d9d3c0aaaa7028f6","schema_version":"1.0","event_id":"sha256:8b141930f17817437cf65aa0c93ef69c3990f7ca656d1da1d9d3c0aaaa7028f6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UNSOJGGMRDXJ4IGD6GTHSEIPAB/bundle.json","state_url":"https://pith.science/pith/UNSOJGGMRDXJ4IGD6GTHSEIPAB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UNSOJGGMRDXJ4IGD6GTHSEIPAB/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":"2026-08-22T06:39:32Z","links":{"resolver":"https://pith.science/pith/UNSOJGGMRDXJ4IGD6GTHSEIPAB","bundle":"https://pith.science/pith/UNSOJGGMRDXJ4IGD6GTHSEIPAB/bundle.json","state":"https://pith.science/pith/UNSOJGGMRDXJ4IGD6GTHSEIPAB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UNSOJGGMRDXJ4IGD6GTHSEIPAB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:UNSOJGGMRDXJ4IGD6GTHSEIPAB","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":"061c542b7bf2a48e0a0c95dfe4ccd2bdc8f19df928c6591a60fc5bf226f1e6e5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2022-10-26T13:29:40Z","title_canon_sha256":"1df01ccb1acbf32f904af646bb078ab65147452c3563ba567a58a24073d8d93f"},"schema_version":"1.0","source":{"id":"2210.14700","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.14700","created_at":"2026-07-05T05:10:48Z"},{"alias_kind":"arxiv_version","alias_value":"2210.14700v1","created_at":"2026-07-05T05:10:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.14700","created_at":"2026-07-05T05:10:48Z"},{"alias_kind":"pith_short_12","alias_value":"UNSOJGGMRDXJ","created_at":"2026-07-05T05:10:48Z"},{"alias_kind":"pith_short_16","alias_value":"UNSOJGGMRDXJ4IGD","created_at":"2026-07-05T05:10:48Z"},{"alias_kind":"pith_short_8","alias_value":"UNSOJGGM","created_at":"2026-07-05T05:10:48Z"}],"graph_snapshots":[{"event_id":"sha256:8b141930f17817437cf65aa0c93ef69c3990f7ca656d1da1d9d3c0aaaa7028f6","target":"graph","created_at":"2026-07-05T05:10:48Z","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/2210.14700/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Learning (FL) empowers Industrial Internet of Things (IIoT) with distributed intelligence of industrial automation thanks to its capability of distributed machine learning without any raw data exchange. However, it is rather challenging for lightweight IIoT devices to perform computation-intensive local model training over large-scale deep neural networks (DNNs). Driven by this issue, we develop a communication-computation efficient FL framework for resource-limited IIoT networks that integrates DNN partition technique into the standard FL mechanism, wherein IIoT devices perform loca","authors_text":"Chuan Ma, Jun Li, Kang Wei, Long Shi, Ming Ding, Wen Chen, Xiumei Deng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2022-10-26T13:29:40Z","title":"Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.14700","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":"sha256:315e7c5fef3e318b7612215bb77ff8d633cc03a7bac7ea5498190b1febc06105","target":"record","created_at":"2026-07-05T05:10:48Z","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":"061c542b7bf2a48e0a0c95dfe4ccd2bdc8f19df928c6591a60fc5bf226f1e6e5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2022-10-26T13:29:40Z","title_canon_sha256":"1df01ccb1acbf32f904af646bb078ab65147452c3563ba567a58a24073d8d93f"},"schema_version":"1.0","source":{"id":"2210.14700","kind":"arxiv","version":1}},"canonical_sha256":"a364e498cc88ee9e20c3f1a679110f0075eeb9aa7be9fe69288ee43a4bb69bc2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a364e498cc88ee9e20c3f1a679110f0075eeb9aa7be9fe69288ee43a4bb69bc2","first_computed_at":"2026-07-05T05:10:48.689637Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:10:48.689637Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jlDhgDhApXoS/P50m3VDT+frLWRAf3wBknaWTXRkvXS/Dg5hblDqvuWeNv3FMcZh59DO5I6E6qFIfGBBBHNDDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:10:48.690040Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.14700","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:315e7c5fef3e318b7612215bb77ff8d633cc03a7bac7ea5498190b1febc06105","sha256:8b141930f17817437cf65aa0c93ef69c3990f7ca656d1da1d9d3c0aaaa7028f6"],"state_sha256":"f601f5b621f5cf28b99c4d27797d15b61cd6466f36b497ce34d6c3f107d5aae9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1ZRTZRMQOgitXdhDfO2Gwlmvq9SHF1DBrv1Urr5fgO3QSfPLghkcRs478cz+d2GUo3ihge5U2nqf0+6+siW8BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T06:39:32.940320Z","bundle_sha256":"b465ffbe510b88243312456757b97dca75cdfb028e37e687f6e143856dd7cd20"}}