{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:T67CXE5OY27UJG5B4IPLMBDD5A","short_pith_number":"pith:T67CXE5O","canonical_record":{"source":{"id":"1809.03428","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-10T16:09:58Z","cross_cats_sorted":["cs.AI","cs.DC","stat.ML"],"title_canon_sha256":"b26ac4f2f298bbcc2adf12b75912089acb035cf49660c50e08fe0411acb92b8a","abstract_canon_sha256":"caf582f39bbb30840b4934d4ed6a45a4dcb9b816b38f5297b2290963190c29e1"},"schema_version":"1.0"},"canonical_sha256":"9fbe2b93aec6bf449ba1e21eb60463e80f8c26ffbcaaf0fa75f010fe87a0749f","source":{"kind":"arxiv","id":"1809.03428","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.03428","created_at":"2026-05-17T23:56:52Z"},{"alias_kind":"arxiv_version","alias_value":"1809.03428v3","created_at":"2026-05-17T23:56:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.03428","created_at":"2026-05-17T23:56:52Z"},{"alias_kind":"pith_short_12","alias_value":"T67CXE5OY27U","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"T67CXE5OY27UJG5B","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"T67CXE5O","created_at":"2026-05-18T12:32:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:T67CXE5OY27UJG5B4IPLMBDD5A","target":"record","payload":{"canonical_record":{"source":{"id":"1809.03428","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-10T16:09:58Z","cross_cats_sorted":["cs.AI","cs.DC","stat.ML"],"title_canon_sha256":"b26ac4f2f298bbcc2adf12b75912089acb035cf49660c50e08fe0411acb92b8a","abstract_canon_sha256":"caf582f39bbb30840b4934d4ed6a45a4dcb9b816b38f5297b2290963190c29e1"},"schema_version":"1.0"},"canonical_sha256":"9fbe2b93aec6bf449ba1e21eb60463e80f8c26ffbcaaf0fa75f010fe87a0749f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:52.965066Z","signature_b64":"pPQT3dU1pJ/os7l/KIMBOwk5npd+amzeUWvM+pZddJJu2DroKerKZ2y18Y9Atjh+11tObvIXBe6JWb/rlM7mAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9fbe2b93aec6bf449ba1e21eb60463e80f8c26ffbcaaf0fa75f010fe87a0749f","last_reissued_at":"2026-05-17T23:56:52.964586Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:52.964586Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.03428","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:56:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c6xfHs9eeDeeSMqzm4+n0A+rRdPLNP/o3NRbXvHcEXCN66+apqkcSF0sj9Y6AvrL9pUXUxBi5dgWD9ED+PgtDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T13:19:11.505162Z"},"content_sha256":"36d28ec3365697ce6cfe4441ebd348c0a8639cae2cec9f224fe415e461a5520f","schema_version":"1.0","event_id":"sha256:36d28ec3365697ce6cfe4441ebd348c0a8639cae2cec9f224fe415e461a5520f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:T67CXE5OY27UJG5B4IPLMBDD5A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.DC","stat.ML"],"primary_cat":"cs.LG","authors_text":"Bokai Cao, Jianguo Zhang, Ji Wang, Philip S. Yu, Weidong Bao, Xiaomin Zhu","submitted_at":"2018-09-10T16:09:58Z","abstract_excerpt":"The increasing demand for on-device deep learning services calls for a highly efficient manner to deploy deep neural networks (DNNs) on mobile devices with limited capacity. The cloud-based solution is a promising approach to enabling deep learning applications on mobile devices where the large portions of a DNN are offloaded to the cloud. However, revealing data to the cloud leads to potential privacy risk. To benefit from the cloud data center without the privacy risk, we design, evaluate, and implement a cloud-based framework ARDEN which partitions the DNN across mobile devices and cloud da"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.03428","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-17T23:56:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K3UN00VEcZ3r7mH7HhSn5G3ZFZlULOnIPUj8X/6OGBq9cLdoC/JvA7p7iuQFJXxXeP4+7SXVjwfF9UUKBKksCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T13:19:11.506009Z"},"content_sha256":"1ed40561077da2c7ba8967a38744c480965372f6f9af8d82bc1dde994264eb27","schema_version":"1.0","event_id":"sha256:1ed40561077da2c7ba8967a38744c480965372f6f9af8d82bc1dde994264eb27"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T67CXE5OY27UJG5B4IPLMBDD5A/bundle.json","state_url":"https://pith.science/pith/T67CXE5OY27UJG5B4IPLMBDD5A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T67CXE5OY27UJG5B4IPLMBDD5A/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":"2026-08-16T13:19:11Z","links":{"resolver":"https://pith.science/pith/T67CXE5OY27UJG5B4IPLMBDD5A","bundle":"https://pith.science/pith/T67CXE5OY27UJG5B4IPLMBDD5A/bundle.json","state":"https://pith.science/pith/T67CXE5OY27UJG5B4IPLMBDD5A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T67CXE5OY27UJG5B4IPLMBDD5A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:T67CXE5OY27UJG5B4IPLMBDD5A","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":"caf582f39bbb30840b4934d4ed6a45a4dcb9b816b38f5297b2290963190c29e1","cross_cats_sorted":["cs.AI","cs.DC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-10T16:09:58Z","title_canon_sha256":"b26ac4f2f298bbcc2adf12b75912089acb035cf49660c50e08fe0411acb92b8a"},"schema_version":"1.0","source":{"id":"1809.03428","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.03428","created_at":"2026-05-17T23:56:52Z"},{"alias_kind":"arxiv_version","alias_value":"1809.03428v3","created_at":"2026-05-17T23:56:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.03428","created_at":"2026-05-17T23:56:52Z"},{"alias_kind":"pith_short_12","alias_value":"T67CXE5OY27U","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"T67CXE5OY27UJG5B","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"T67CXE5O","created_at":"2026-05-18T12:32:53Z"}],"graph_snapshots":[{"event_id":"sha256:1ed40561077da2c7ba8967a38744c480965372f6f9af8d82bc1dde994264eb27","target":"graph","created_at":"2026-05-17T23:56:52Z","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"},"paper":{"abstract_excerpt":"The increasing demand for on-device deep learning services calls for a highly efficient manner to deploy deep neural networks (DNNs) on mobile devices with limited capacity. The cloud-based solution is a promising approach to enabling deep learning applications on mobile devices where the large portions of a DNN are offloaded to the cloud. However, revealing data to the cloud leads to potential privacy risk. To benefit from the cloud data center without the privacy risk, we design, evaluate, and implement a cloud-based framework ARDEN which partitions the DNN across mobile devices and cloud da","authors_text":"Bokai Cao, Jianguo Zhang, Ji Wang, Philip S. Yu, Weidong Bao, Xiaomin Zhu","cross_cats":["cs.AI","cs.DC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-10T16:09:58Z","title":"Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.03428","kind":"arxiv","version":3},"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":"sha256:36d28ec3365697ce6cfe4441ebd348c0a8639cae2cec9f224fe415e461a5520f","target":"record","created_at":"2026-05-17T23:56:52Z","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":"caf582f39bbb30840b4934d4ed6a45a4dcb9b816b38f5297b2290963190c29e1","cross_cats_sorted":["cs.AI","cs.DC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-10T16:09:58Z","title_canon_sha256":"b26ac4f2f298bbcc2adf12b75912089acb035cf49660c50e08fe0411acb92b8a"},"schema_version":"1.0","source":{"id":"1809.03428","kind":"arxiv","version":3}},"canonical_sha256":"9fbe2b93aec6bf449ba1e21eb60463e80f8c26ffbcaaf0fa75f010fe87a0749f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9fbe2b93aec6bf449ba1e21eb60463e80f8c26ffbcaaf0fa75f010fe87a0749f","first_computed_at":"2026-05-17T23:56:52.964586Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:52.964586Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pPQT3dU1pJ/os7l/KIMBOwk5npd+amzeUWvM+pZddJJu2DroKerKZ2y18Y9Atjh+11tObvIXBe6JWb/rlM7mAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:52.965066Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.03428","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:36d28ec3365697ce6cfe4441ebd348c0a8639cae2cec9f224fe415e461a5520f","sha256:1ed40561077da2c7ba8967a38744c480965372f6f9af8d82bc1dde994264eb27"],"state_sha256":"209591109d435caeaec3afb468c7df2132a25deedc8a24d45a55f39194e57e88"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SfteReGLIa/EcJ3WoRHmI+SmCn8f9cwyOev/BzUZvmzg1BcvXnZpMGvuiKRiyFdg4jCFYeY5FM0OGxXuIm4mDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T13:19:11.512667Z","bundle_sha256":"2e88248151910b2791f60756ff290a590179e806a858302e95674bc06cd6c66b"}}