{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:FOD57ACDKW2HFELFOYQ4RTLM7I","short_pith_number":"pith:FOD57ACD","canonical_record":{"source":{"id":"1906.10893","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-06-26T07:53:13Z","cross_cats_sorted":["cs.HC","cs.LG","cs.NI","cs.SY","eess.SY"],"title_canon_sha256":"1ad2b017ba96bb11235c4261263b45843cd6f283b6a929b36f3a3b281d9005ce","abstract_canon_sha256":"55e7c1b0373d634900d91d5e2ad94ecf82a772901a3d256d417e18d3a925af16"},"schema_version":"1.0"},"canonical_sha256":"2b87df804355b47291657621c8cd6cfa064c5a70b28830e95e71706b4192af6a","source":{"kind":"arxiv","id":"1906.10893","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.10893","created_at":"2026-07-05T02:10:57Z"},{"alias_kind":"arxiv_version","alias_value":"1906.10893v4","created_at":"2026-07-05T02:10:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.10893","created_at":"2026-07-05T02:10:57Z"},{"alias_kind":"pith_short_12","alias_value":"FOD57ACDKW2H","created_at":"2026-07-05T02:10:57Z"},{"alias_kind":"pith_short_16","alias_value":"FOD57ACDKW2HFELF","created_at":"2026-07-05T02:10:57Z"},{"alias_kind":"pith_short_8","alias_value":"FOD57ACD","created_at":"2026-07-05T02:10:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:FOD57ACDKW2HFELFOYQ4RTLM7I","target":"record","payload":{"canonical_record":{"source":{"id":"1906.10893","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-06-26T07:53:13Z","cross_cats_sorted":["cs.HC","cs.LG","cs.NI","cs.SY","eess.SY"],"title_canon_sha256":"1ad2b017ba96bb11235c4261263b45843cd6f283b6a929b36f3a3b281d9005ce","abstract_canon_sha256":"55e7c1b0373d634900d91d5e2ad94ecf82a772901a3d256d417e18d3a925af16"},"schema_version":"1.0"},"canonical_sha256":"2b87df804355b47291657621c8cd6cfa064c5a70b28830e95e71706b4192af6a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:10:57.496311Z","signature_b64":"jp4WNXS0GBVGz1R/MRx4/8tcvNy8lujluk/ClKMSxoT0AM/eJFohUHvjl+YwEqTdEpobvCCJquffQ9qr7OlFCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2b87df804355b47291657621c8cd6cfa064c5a70b28830e95e71706b4192af6a","last_reissued_at":"2026-07-05T02:10:57.495783Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:10:57.495783Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.10893","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:10:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ded2iq+e3CelnjZ41MRYsr+3P6P8CQ/MxLODGu3rhqKV4b091lJ0E6CNqRkCVZCt4y/4gjGp8+IxBaecLJzdAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T05:47:31.315209Z"},"content_sha256":"e472d7f45d9bd9536ad471304ff1e75e7b3b5028eab57b6d2c4fdf4ac9431942","schema_version":"1.0","event_id":"sha256:e472d7f45d9bd9536ad471304ff1e75e7b3b5028eab57b6d2c4fdf4ac9431942"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:FOD57ACDKW2HFELFOYQ4RTLM7I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC","cs.LG","cs.NI","cs.SY","eess.SY"],"primary_cat":"cs.CR","authors_text":"Dusit Niyato, Jun Zhao, Lingjuan Lyu, Linshan Jiang, Rui Tan, Yang Zhao, Yingbo Liu, Zengxiang Li","submitted_at":"2019-06-26T07:53:13Z","abstract_excerpt":"Home appliance manufacturers strive to obtain feedback from users to improve their products and services to build a smart home system. To help manufacturers develop a smart home system, we design a federated learning (FL) system leveraging the reputation mechanism to assist home appliance manufacturers to train a machine learning model based on customers' data. Then, manufacturers can predict customers' requirements and consumption behaviors in the future. The working flow of the system includes two stages: in the first stage, customers train the initial model provided by the manufacturer usin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.10893","kind":"arxiv","version":4},"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/1906.10893/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":"2026-07-05T02:10:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"guDOr0UpV/I96/O+sJT8GLPZwCKqmxO0cnBU9Z+zqebuJVwRPkpSNC3dOpswgEn3o/ZQtbRQo5oE/GvJOW1JCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T05:47:31.315728Z"},"content_sha256":"5e4be06be4ddc96887b7fd698bd2299c8c042af80be52964f2bbed2f6767b15d","schema_version":"1.0","event_id":"sha256:5e4be06be4ddc96887b7fd698bd2299c8c042af80be52964f2bbed2f6767b15d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FOD57ACDKW2HFELFOYQ4RTLM7I/bundle.json","state_url":"https://pith.science/pith/FOD57ACDKW2HFELFOYQ4RTLM7I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FOD57ACDKW2HFELFOYQ4RTLM7I/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":"2026-08-13T05:47:31Z","links":{"resolver":"https://pith.science/pith/FOD57ACDKW2HFELFOYQ4RTLM7I","bundle":"https://pith.science/pith/FOD57ACDKW2HFELFOYQ4RTLM7I/bundle.json","state":"https://pith.science/pith/FOD57ACDKW2HFELFOYQ4RTLM7I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FOD57ACDKW2HFELFOYQ4RTLM7I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:FOD57ACDKW2HFELFOYQ4RTLM7I","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":"55e7c1b0373d634900d91d5e2ad94ecf82a772901a3d256d417e18d3a925af16","cross_cats_sorted":["cs.HC","cs.LG","cs.NI","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-06-26T07:53:13Z","title_canon_sha256":"1ad2b017ba96bb11235c4261263b45843cd6f283b6a929b36f3a3b281d9005ce"},"schema_version":"1.0","source":{"id":"1906.10893","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.10893","created_at":"2026-07-05T02:10:57Z"},{"alias_kind":"arxiv_version","alias_value":"1906.10893v4","created_at":"2026-07-05T02:10:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.10893","created_at":"2026-07-05T02:10:57Z"},{"alias_kind":"pith_short_12","alias_value":"FOD57ACDKW2H","created_at":"2026-07-05T02:10:57Z"},{"alias_kind":"pith_short_16","alias_value":"FOD57ACDKW2HFELF","created_at":"2026-07-05T02:10:57Z"},{"alias_kind":"pith_short_8","alias_value":"FOD57ACD","created_at":"2026-07-05T02:10:57Z"}],"graph_snapshots":[{"event_id":"sha256:5e4be06be4ddc96887b7fd698bd2299c8c042af80be52964f2bbed2f6767b15d","target":"graph","created_at":"2026-07-05T02:10:57Z","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/1906.10893/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Home appliance manufacturers strive to obtain feedback from users to improve their products and services to build a smart home system. To help manufacturers develop a smart home system, we design a federated learning (FL) system leveraging the reputation mechanism to assist home appliance manufacturers to train a machine learning model based on customers' data. Then, manufacturers can predict customers' requirements and consumption behaviors in the future. The working flow of the system includes two stages: in the first stage, customers train the initial model provided by the manufacturer usin","authors_text":"Dusit Niyato, Jun Zhao, Lingjuan Lyu, Linshan Jiang, Rui Tan, Yang Zhao, Yingbo Liu, Zengxiang Li","cross_cats":["cs.HC","cs.LG","cs.NI","cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-06-26T07:53:13Z","title":"Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.10893","kind":"arxiv","version":4},"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:e472d7f45d9bd9536ad471304ff1e75e7b3b5028eab57b6d2c4fdf4ac9431942","target":"record","created_at":"2026-07-05T02:10:57Z","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":"55e7c1b0373d634900d91d5e2ad94ecf82a772901a3d256d417e18d3a925af16","cross_cats_sorted":["cs.HC","cs.LG","cs.NI","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-06-26T07:53:13Z","title_canon_sha256":"1ad2b017ba96bb11235c4261263b45843cd6f283b6a929b36f3a3b281d9005ce"},"schema_version":"1.0","source":{"id":"1906.10893","kind":"arxiv","version":4}},"canonical_sha256":"2b87df804355b47291657621c8cd6cfa064c5a70b28830e95e71706b4192af6a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2b87df804355b47291657621c8cd6cfa064c5a70b28830e95e71706b4192af6a","first_computed_at":"2026-07-05T02:10:57.495783Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:10:57.495783Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jp4WNXS0GBVGz1R/MRx4/8tcvNy8lujluk/ClKMSxoT0AM/eJFohUHvjl+YwEqTdEpobvCCJquffQ9qr7OlFCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:10:57.496311Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.10893","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e472d7f45d9bd9536ad471304ff1e75e7b3b5028eab57b6d2c4fdf4ac9431942","sha256:5e4be06be4ddc96887b7fd698bd2299c8c042af80be52964f2bbed2f6767b15d"],"state_sha256":"d9524898c9f58e6cd02bdd3fc100e71737489985dfd5f0b75f866225551727a1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TkuqBi5rOaPJOzVKfHurNivaEsRa/altZAerdeLQUu/YIXW3LW6wwSTqrk3+vn0U+Ua1HSJuG7zvk6aAqIXcCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T05:47:31.321536Z","bundle_sha256":"f538324e5fdbcc2a2960c3bab8805b3c441ceb5440eda90b2afc2cdd50311298"}}