{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:UAVTCC6M2DFGH3PGVOQUYBA4LR","short_pith_number":"pith:UAVTCC6M","canonical_record":{"source":{"id":"2303.08581","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-13T20:21:51Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"5bb88f6cd65a38c24f1a9d887e589e1a8e80a07ba3e45c00e6aa4a536994d2a3","abstract_canon_sha256":"cde955fd16eaf7b99b54af676a1b84fd52c863a483f6f26cb577b91e1ba38db4"},"schema_version":"1.0"},"canonical_sha256":"a02b310bccd0ca63ede6aba14c041c5c41df1cdfcefba2a00d04ee55ef0cbedc","source":{"kind":"arxiv","id":"2303.08581","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.08581","created_at":"2026-07-05T05:51:34Z"},{"alias_kind":"arxiv_version","alias_value":"2303.08581v1","created_at":"2026-07-05T05:51:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.08581","created_at":"2026-07-05T05:51:34Z"},{"alias_kind":"pith_short_12","alias_value":"UAVTCC6M2DFG","created_at":"2026-07-05T05:51:34Z"},{"alias_kind":"pith_short_16","alias_value":"UAVTCC6M2DFGH3PG","created_at":"2026-07-05T05:51:34Z"},{"alias_kind":"pith_short_8","alias_value":"UAVTCC6M","created_at":"2026-07-05T05:51:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:UAVTCC6M2DFGH3PGVOQUYBA4LR","target":"record","payload":{"canonical_record":{"source":{"id":"2303.08581","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-13T20:21:51Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"5bb88f6cd65a38c24f1a9d887e589e1a8e80a07ba3e45c00e6aa4a536994d2a3","abstract_canon_sha256":"cde955fd16eaf7b99b54af676a1b84fd52c863a483f6f26cb577b91e1ba38db4"},"schema_version":"1.0"},"canonical_sha256":"a02b310bccd0ca63ede6aba14c041c5c41df1cdfcefba2a00d04ee55ef0cbedc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:51:34.818178Z","signature_b64":"xHmkCdiL0o8Hr6mcbQl64GTYaXQLTbaOnzMvxbgav3c2zCoNfp9gchgP9x5ukBLmsFAR04m+qvtVxGOEPm53DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a02b310bccd0ca63ede6aba14c041c5c41df1cdfcefba2a00d04ee55ef0cbedc","last_reissued_at":"2026-07-05T05:51:34.817852Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:51:34.817852Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.08581","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":"2026-07-05T05:51:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rY1VCbctCKrRP6dUWI5KIudECKSj4nDMylYAuQ2lyPA/mosT1WJjWdLdK/Z/q1MiPIYeUBAdUa8IV1v3/DB5CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T10:08:52.004250Z"},"content_sha256":"572c5e769d90edba9daad741b93f0d3056486663153404c4d101ef5224eb3d4e","schema_version":"1.0","event_id":"sha256:572c5e769d90edba9daad741b93f0d3056486663153404c4d101ef5224eb3d4e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:UAVTCC6M2DFGH3PGVOQUYBA4LR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Model Extraction Attacks on Split Federated Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Adnan Siraj Rakin, Chaitali Chakrabarti, Deliang Fan, Jingtao Li, Li Yang, Xing Chen, Zhezhi He","submitted_at":"2023-03-13T20:21:51Z","abstract_excerpt":"Federated Learning (FL) is a popular collaborative learning scheme involving multiple clients and a server. FL focuses on protecting clients' data but turns out to be highly vulnerable to Intellectual Property (IP) threats. Since FL periodically collects and distributes the model parameters, a free-rider can download the latest model and thus steal model IP. Split Federated Learning (SFL), a recent variant of FL that supports training with resource-constrained clients, splits the model into two, giving one part of the model to clients (client-side model), and the remaining part to the server ("},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.08581","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/2303.08581/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":"2026-07-05T05:51:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"inbDJStYnVbY4wYvbCiH+AYR6oE65S33vUlziqg/QUxzSVZ31SEyqQJXQKAqRRYMk53gJOBukjN6E1ktaEF8AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T10:08:52.004649Z"},"content_sha256":"e1b5e03f48e59b16347aca3ca17a145dfb35b2c9e5d157cf03010f5c53c93fe3","schema_version":"1.0","event_id":"sha256:e1b5e03f48e59b16347aca3ca17a145dfb35b2c9e5d157cf03010f5c53c93fe3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UAVTCC6M2DFGH3PGVOQUYBA4LR/bundle.json","state_url":"https://pith.science/pith/UAVTCC6M2DFGH3PGVOQUYBA4LR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UAVTCC6M2DFGH3PGVOQUYBA4LR/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":"2026-07-17T10:08:52Z","links":{"resolver":"https://pith.science/pith/UAVTCC6M2DFGH3PGVOQUYBA4LR","bundle":"https://pith.science/pith/UAVTCC6M2DFGH3PGVOQUYBA4LR/bundle.json","state":"https://pith.science/pith/UAVTCC6M2DFGH3PGVOQUYBA4LR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UAVTCC6M2DFGH3PGVOQUYBA4LR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UAVTCC6M2DFGH3PGVOQUYBA4LR","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":"cde955fd16eaf7b99b54af676a1b84fd52c863a483f6f26cb577b91e1ba38db4","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-13T20:21:51Z","title_canon_sha256":"5bb88f6cd65a38c24f1a9d887e589e1a8e80a07ba3e45c00e6aa4a536994d2a3"},"schema_version":"1.0","source":{"id":"2303.08581","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.08581","created_at":"2026-07-05T05:51:34Z"},{"alias_kind":"arxiv_version","alias_value":"2303.08581v1","created_at":"2026-07-05T05:51:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.08581","created_at":"2026-07-05T05:51:34Z"},{"alias_kind":"pith_short_12","alias_value":"UAVTCC6M2DFG","created_at":"2026-07-05T05:51:34Z"},{"alias_kind":"pith_short_16","alias_value":"UAVTCC6M2DFGH3PG","created_at":"2026-07-05T05:51:34Z"},{"alias_kind":"pith_short_8","alias_value":"UAVTCC6M","created_at":"2026-07-05T05:51:34Z"}],"graph_snapshots":[{"event_id":"sha256:e1b5e03f48e59b16347aca3ca17a145dfb35b2c9e5d157cf03010f5c53c93fe3","target":"graph","created_at":"2026-07-05T05:51:34Z","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/2303.08581/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Learning (FL) is a popular collaborative learning scheme involving multiple clients and a server. FL focuses on protecting clients' data but turns out to be highly vulnerable to Intellectual Property (IP) threats. Since FL periodically collects and distributes the model parameters, a free-rider can download the latest model and thus steal model IP. Split Federated Learning (SFL), a recent variant of FL that supports training with resource-constrained clients, splits the model into two, giving one part of the model to clients (client-side model), and the remaining part to the server (","authors_text":"Adnan Siraj Rakin, Chaitali Chakrabarti, Deliang Fan, Jingtao Li, Li Yang, Xing Chen, Zhezhi He","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-13T20:21:51Z","title":"Model Extraction Attacks on Split Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.08581","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":"sha256:572c5e769d90edba9daad741b93f0d3056486663153404c4d101ef5224eb3d4e","target":"record","created_at":"2026-07-05T05:51:34Z","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":"cde955fd16eaf7b99b54af676a1b84fd52c863a483f6f26cb577b91e1ba38db4","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-13T20:21:51Z","title_canon_sha256":"5bb88f6cd65a38c24f1a9d887e589e1a8e80a07ba3e45c00e6aa4a536994d2a3"},"schema_version":"1.0","source":{"id":"2303.08581","kind":"arxiv","version":1}},"canonical_sha256":"a02b310bccd0ca63ede6aba14c041c5c41df1cdfcefba2a00d04ee55ef0cbedc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a02b310bccd0ca63ede6aba14c041c5c41df1cdfcefba2a00d04ee55ef0cbedc","first_computed_at":"2026-07-05T05:51:34.817852Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:51:34.817852Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xHmkCdiL0o8Hr6mcbQl64GTYaXQLTbaOnzMvxbgav3c2zCoNfp9gchgP9x5ukBLmsFAR04m+qvtVxGOEPm53DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:51:34.818178Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.08581","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:572c5e769d90edba9daad741b93f0d3056486663153404c4d101ef5224eb3d4e","sha256:e1b5e03f48e59b16347aca3ca17a145dfb35b2c9e5d157cf03010f5c53c93fe3"],"state_sha256":"1614bf7cdcedc6bfbc0d8f7829a447f1f97f137e21da8a27ec5e815ec079ebef"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9vPkFSpZLZEqqeJW8Wff0rzUMLZ+0mYXzArULBGoqhwmEXVroaMxl/NBhdg4ZF+U5+QaxsqUR2039q76t2kQAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-17T10:08:52.007184Z","bundle_sha256":"60d4e936fa5588cc7a06db43f931a3fabcfcf74cf5c27f2d56425e16411e3cb9"}}