{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZWVRHOMOKG6BF77XWXYE6ORAWB","short_pith_number":"pith:ZWVRHOMO","canonical_record":{"source":{"id":"2408.14298","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-08-26T14:28:51Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0455de0bfec0c9e80193be42e0ad13ec9c67a5e55c479fc9dcafc08beea45270","abstract_canon_sha256":"7e3e0a3daafb439e9476edbbf9eceac6c0aef0b583433683d175926d37a3b052"},"schema_version":"1.0"},"canonical_sha256":"cdab13b98e51bc12fff7b5f04f3a20b07f0c4322936c6c6018444d0f405837eb","source":{"kind":"arxiv","id":"2408.14298","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.14298","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"arxiv_version","alias_value":"2408.14298v1","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.14298","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"pith_short_12","alias_value":"ZWVRHOMOKG6B","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"pith_short_16","alias_value":"ZWVRHOMOKG6BF77X","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"pith_short_8","alias_value":"ZWVRHOMO","created_at":"2026-07-05T08:59:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZWVRHOMOKG6BF77XWXYE6ORAWB","target":"record","payload":{"canonical_record":{"source":{"id":"2408.14298","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-08-26T14:28:51Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0455de0bfec0c9e80193be42e0ad13ec9c67a5e55c479fc9dcafc08beea45270","abstract_canon_sha256":"7e3e0a3daafb439e9476edbbf9eceac6c0aef0b583433683d175926d37a3b052"},"schema_version":"1.0"},"canonical_sha256":"cdab13b98e51bc12fff7b5f04f3a20b07f0c4322936c6c6018444d0f405837eb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:59:54.313212Z","signature_b64":"oKELoUtoPDvFpY+KiRx2QOnWf+6Pn6ETueEZqFk9Er28hYSS13elwzI0nKrJ1YQSCHGY7+VDkAkvtTLY/C/eAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cdab13b98e51bc12fff7b5f04f3a20b07f0c4322936c6c6018444d0f405837eb","last_reissued_at":"2026-07-05T08:59:54.312749Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:59:54.312749Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.14298","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":"2026-07-05T08:59:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YyEDyE5xyNGW/Z4DSWjV6yduTf65XHdJ3ibIVvziDvO+sTMVU6Y+4aAM+nNhMMGK4CBQeFhN55KKjwwFZRNzCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T13:27:35.912076Z"},"content_sha256":"e4effca6589022bca6075be4cea659bdf9637e12011b81cd3e4dad974275cce2","schema_version":"1.0","event_id":"sha256:e4effca6589022bca6075be4cea659bdf9637e12011b81cd3e4dad974275cce2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZWVRHOMOKG6BF77XWXYE6ORAWB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.DC","authors_text":"Jianxin Wang, Jun Li, Kang Wei, Shi Jin, Shunfeng Chu, Wen Chen, Yiyang Ni","submitted_at":"2024-08-26T14:28:51Z","abstract_excerpt":"As an emerging technology, digital twin (DT) can provide real-time status and dynamic topology mapping for Internet of Things (IoT) devices. However, DT and its implementation within industrial IoT networks necessitates substantial, distributed data support, which often leads to ``data silos'' and raises privacy concerns. To address these issues, we develop a dynamic resource scheduling algorithm tailored for the asynchronous federated learning (FL)-based lightweight DT empowered IoT network. Specifically, our approach aims to minimize a multi-objective function that encompasses both energy co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.14298","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/2408.14298/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":"2026-07-05T08:59:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mwoILAtc5ai1ZoWphX1KWojgExbPmeJMN4PlNAXpBexPcTToC4WMTdqcZp/qtIJT5fhM3SyqRAVNYuPOMA/OAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T13:27:35.912794Z"},"content_sha256":"4ca7d6de11a45ea2702af64a3d600fb783fa53ed0b7a6afd5482a8ce3eb1097f","schema_version":"1.0","event_id":"sha256:4ca7d6de11a45ea2702af64a3d600fb783fa53ed0b7a6afd5482a8ce3eb1097f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZWVRHOMOKG6BF77XWXYE6ORAWB/bundle.json","state_url":"https://pith.science/pith/ZWVRHOMOKG6BF77XWXYE6ORAWB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZWVRHOMOKG6BF77XWXYE6ORAWB/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":"2026-08-22T13:27:35Z","links":{"resolver":"https://pith.science/pith/ZWVRHOMOKG6BF77XWXYE6ORAWB","bundle":"https://pith.science/pith/ZWVRHOMOKG6BF77XWXYE6ORAWB/bundle.json","state":"https://pith.science/pith/ZWVRHOMOKG6BF77XWXYE6ORAWB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZWVRHOMOKG6BF77XWXYE6ORAWB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZWVRHOMOKG6BF77XWXYE6ORAWB","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":"7e3e0a3daafb439e9476edbbf9eceac6c0aef0b583433683d175926d37a3b052","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-08-26T14:28:51Z","title_canon_sha256":"0455de0bfec0c9e80193be42e0ad13ec9c67a5e55c479fc9dcafc08beea45270"},"schema_version":"1.0","source":{"id":"2408.14298","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.14298","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"arxiv_version","alias_value":"2408.14298v1","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.14298","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"pith_short_12","alias_value":"ZWVRHOMOKG6B","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"pith_short_16","alias_value":"ZWVRHOMOKG6BF77X","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"pith_short_8","alias_value":"ZWVRHOMO","created_at":"2026-07-05T08:59:54Z"}],"graph_snapshots":[{"event_id":"sha256:4ca7d6de11a45ea2702af64a3d600fb783fa53ed0b7a6afd5482a8ce3eb1097f","target":"graph","created_at":"2026-07-05T08:59:54Z","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/2408.14298/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As an emerging technology, digital twin (DT) can provide real-time status and dynamic topology mapping for Internet of Things (IoT) devices. However, DT and its implementation within industrial IoT networks necessitates substantial, distributed data support, which often leads to ``data silos'' and raises privacy concerns. To address these issues, we develop a dynamic resource scheduling algorithm tailored for the asynchronous federated learning (FL)-based lightweight DT empowered IoT network. Specifically, our approach aims to minimize a multi-objective function that encompasses both energy co","authors_text":"Jianxin Wang, Jun Li, Kang Wei, Shi Jin, Shunfeng Chu, Wen Chen, Yiyang Ni","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-08-26T14:28:51Z","title":"Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.14298","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:e4effca6589022bca6075be4cea659bdf9637e12011b81cd3e4dad974275cce2","target":"record","created_at":"2026-07-05T08:59:54Z","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":"7e3e0a3daafb439e9476edbbf9eceac6c0aef0b583433683d175926d37a3b052","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-08-26T14:28:51Z","title_canon_sha256":"0455de0bfec0c9e80193be42e0ad13ec9c67a5e55c479fc9dcafc08beea45270"},"schema_version":"1.0","source":{"id":"2408.14298","kind":"arxiv","version":1}},"canonical_sha256":"cdab13b98e51bc12fff7b5f04f3a20b07f0c4322936c6c6018444d0f405837eb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cdab13b98e51bc12fff7b5f04f3a20b07f0c4322936c6c6018444d0f405837eb","first_computed_at":"2026-07-05T08:59:54.312749Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:59:54.312749Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oKELoUtoPDvFpY+KiRx2QOnWf+6Pn6ETueEZqFk9Er28hYSS13elwzI0nKrJ1YQSCHGY7+VDkAkvtTLY/C/eAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:59:54.313212Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.14298","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e4effca6589022bca6075be4cea659bdf9637e12011b81cd3e4dad974275cce2","sha256:4ca7d6de11a45ea2702af64a3d600fb783fa53ed0b7a6afd5482a8ce3eb1097f"],"state_sha256":"49ae3eb001b4f5f3f2f3d5b67e900fd8e6bfa3373e019ff1bde8bd6cb501110e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PbzcQtMIYgv3Vpwb12drmsOjpI9Yw0hXKdOGAQgvCA2ZF72r1/EG/XSmWxfRNAqkL6si/JZ44SDxZ8VvBWesBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T13:27:35.916755Z","bundle_sha256":"ae05613ff8b631d2d68bb5edfd1abc4c5eafe4c33397b80fa755fd6573411783"}}