{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:OQPO4DZED2DLULRGBUETNVZR7V","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":"774c5cd06d8620a0720bb1270e5d783edfaac03fef05243065cf71b6651a6f09","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-12-25T04:46:15Z","title_canon_sha256":"85bc28502bf8760ac0b649e3c2d10cbe058a30138628f0f1b51e30db50487cab"},"schema_version":"1.0","source":{"id":"1812.10027","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.10027","created_at":"2026-05-17T23:52:15Z"},{"alias_kind":"arxiv_version","alias_value":"1812.10027v1","created_at":"2026-05-17T23:52:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.10027","created_at":"2026-05-17T23:52:15Z"},{"alias_kind":"pith_short_12","alias_value":"OQPO4DZED2DL","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OQPO4DZED2DLULRG","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OQPO4DZE","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:c48f0c80c05e3717e044d1f177e0b1a7da4ce7518a0fc89545643eb2b5b6589a","target":"graph","created_at":"2026-05-17T23:52:15Z","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":"Recent years have witnessed a rapid growth of deep-network based services and applications. A practical and critical problem thus has emerged: how to effectively deploy the deep neural network models such that they can be executed efficiently. Conventional cloud-based approaches usually run the deep models in data center servers, causing large latency because a significant amount of data has to be transferred from the edge of network to the data center. In this paper, we propose JALAD, a joint accuracy- and latency-aware execution framework, which decouples a deep neural network so that a part","authors_text":"Chenghao Hu, Hongshan Li, Jingyan Jiang, Wenwu Zhu, Yonggang Wen, Zhi Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-12-25T04:46:15Z","title":"JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.10027","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":"sha256:2fd195a9c1d2b6c193bb23a64f11868a5e0e3822e1e81fcfe04e06b356e48d3b","target":"record","created_at":"2026-05-17T23:52:15Z","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":"774c5cd06d8620a0720bb1270e5d783edfaac03fef05243065cf71b6651a6f09","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-12-25T04:46:15Z","title_canon_sha256":"85bc28502bf8760ac0b649e3c2d10cbe058a30138628f0f1b51e30db50487cab"},"schema_version":"1.0","source":{"id":"1812.10027","kind":"arxiv","version":1}},"canonical_sha256":"741eee0f241e86ba2e260d0936d731fd5be40b368c20f66cd6de7cc32256dc8b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"741eee0f241e86ba2e260d0936d731fd5be40b368c20f66cd6de7cc32256dc8b","first_computed_at":"2026-05-17T23:52:15.048627Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:52:15.048627Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t1QLaQMrzV4s8lQDPQVwAFf40sadkErfWA7gnabYtY1GJjgoIZmXIv6KujGEQzNEubuEfsM2g0StT5VSZnpmBw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:52:15.049365Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.10027","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2fd195a9c1d2b6c193bb23a64f11868a5e0e3822e1e81fcfe04e06b356e48d3b","sha256:c48f0c80c05e3717e044d1f177e0b1a7da4ce7518a0fc89545643eb2b5b6589a"],"state_sha256":"0a76a38f3945a8e3da02dc6f20ada1991e2ce72dde0e8e3b389a3c3394ac71b9"}