{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:I5TYQ75ZCO6QK6B6ROKQENOGVZ","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":"ab61243f8d9e835e156b9a2d3a301917300e0b6658842a042605d263531ebaa7","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-05-21T21:22:16Z","title_canon_sha256":"33c772bee00a4132a41394e236aba2f0b013865896852fde065fc29349074134"},"schema_version":"1.0","source":{"id":"2407.00031","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.00031","created_at":"2026-07-05T08:46:26Z"},{"alias_kind":"arxiv_version","alias_value":"2407.00031v2","created_at":"2026-07-05T08:46:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.00031","created_at":"2026-07-05T08:46:26Z"},{"alias_kind":"pith_short_12","alias_value":"I5TYQ75ZCO6Q","created_at":"2026-07-05T08:46:26Z"},{"alias_kind":"pith_short_16","alias_value":"I5TYQ75ZCO6QK6B6","created_at":"2026-07-05T08:46:26Z"},{"alias_kind":"pith_short_8","alias_value":"I5TYQ75Z","created_at":"2026-07-05T08:46:26Z"}],"graph_snapshots":[{"event_id":"sha256:236a34ed6b776226df107be9d6a4a802d2a87ccfd796f0b6b0a62f2304174c0b","target":"graph","created_at":"2026-07-05T08:46:26Z","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/2407.00031/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Several open-source systems, such as Flower and NVIDIA FLARE, have been developed in recent years while focusing on different aspects of federated learning (FL). Flower is dedicated to implementing a cohesive approach to FL, analytics, and evaluation. Over time, Flower has cultivated extensive strategies and algorithms tailored for FL application development, fostering a vibrant FL community in research and industry. Conversely, FLARE has prioritized the creation of an enterprise-ready, resilient runtime environment explicitly designed for FL applications in production environments. In this pa","authors_text":"Andrew Feng, Chester Chen, Daguang Xu, Daniel J. Beutel, Heng Pan, Holger R. Roth, Isaac (Te-Chung) Yang, Javier Fernandez Marques, Nicholas D. Lane, Sean Yang, Yan Cheng, Yuan-Ting Hsieh, Yuhong Wen, Zhihong Zhang, Ziyue Xu","cross_cats":["cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-05-21T21:22:16Z","title":"Supercharging Federated Learning with Flower and NVIDIA FLARE"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.00031","kind":"arxiv","version":2},"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":"sha256:281dc33874db2fa73e5ef023760c8f83dcae18a3aba691086fbfe2212f3df084","target":"record","created_at":"2026-07-05T08:46:26Z","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":"ab61243f8d9e835e156b9a2d3a301917300e0b6658842a042605d263531ebaa7","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-05-21T21:22:16Z","title_canon_sha256":"33c772bee00a4132a41394e236aba2f0b013865896852fde065fc29349074134"},"schema_version":"1.0","source":{"id":"2407.00031","kind":"arxiv","version":2}},"canonical_sha256":"4767887fb913bd05783e8b950235c6ae443e666ea877f954680005be7239722e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4767887fb913bd05783e8b950235c6ae443e666ea877f954680005be7239722e","first_computed_at":"2026-07-05T08:46:26.747904Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:46:26.747904Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z+3JHFgdDw3fGKkcm59XPBXdMIW+97YnLnXeTZsAOYyfTfgYZVQwLRrIiREek5SmgbVVC2L43Aox7p7hTMTLCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:46:26.748359Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.00031","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:281dc33874db2fa73e5ef023760c8f83dcae18a3aba691086fbfe2212f3df084","sha256:236a34ed6b776226df107be9d6a4a802d2a87ccfd796f0b6b0a62f2304174c0b"],"state_sha256":"66534bdfb2110cf4de6ec2df1cba7ccc42582789317d62d3f799210127e6d67f"}