{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:D74W6D45UFR46GGWHZM4B2L53I","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":"3046875b641cba924ab9095cf349a2db4fc0f0e0829b3694c2ae2bbf7cf8a208","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-21T13:02:35Z","title_canon_sha256":"d9065a367959ef763de49427361332f790694756a426589e30e60aff286a3f56"},"schema_version":"1.0","source":{"id":"1906.09108","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09108","created_at":"2026-07-05T00:21:07Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09108v3","created_at":"2026-07-05T00:21:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09108","created_at":"2026-07-05T00:21:07Z"},{"alias_kind":"pith_short_12","alias_value":"D74W6D45UFR4","created_at":"2026-07-05T00:21:07Z"},{"alias_kind":"pith_short_16","alias_value":"D74W6D45UFR46GGW","created_at":"2026-07-05T00:21:07Z"},{"alias_kind":"pith_short_8","alias_value":"D74W6D45","created_at":"2026-07-05T00:21:07Z"}],"graph_snapshots":[{"event_id":"sha256:21926c9c93319d62122c8a635169e814443165ba2be8371a3bf0965ea86b7383","target":"graph","created_at":"2026-07-05T00:21:07Z","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/1906.09108/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Training neural networks with back-propagation (BP) requires a sequential passing of activations and gradients, which forces the network modules to work in a synchronous fashion. This has been recognized as the lockings (i.e., the forward, backward and update lockings) inherited from the BP. In this paper, we propose a fully decoupled training scheme using delayed gradients (FDG) to break all these lockings. The FDG splits a neural network into multiple modules and trains them independently and asynchronously using different workers (e.g., GPUs). We also introduce a gradient shrinking process ","authors_text":"Huiping Zhuang, Qinglai Liu, Shuai Zhang, Yi Wang, Zhiping Lin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-21T13:02:35Z","title":"Fully Decoupled Neural Network Learning Using Delayed Gradients"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09108","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":"sha256:45d3bc4d411a1583cef1bd8f6f1c8501bcfc5eb42745f03343f696fee80d418d","target":"record","created_at":"2026-07-05T00:21:07Z","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":"3046875b641cba924ab9095cf349a2db4fc0f0e0829b3694c2ae2bbf7cf8a208","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-21T13:02:35Z","title_canon_sha256":"d9065a367959ef763de49427361332f790694756a426589e30e60aff286a3f56"},"schema_version":"1.0","source":{"id":"1906.09108","kind":"arxiv","version":3}},"canonical_sha256":"1ff96f0f9da163cf18d63e59c0e97dda132419aac404c471725ee0ba5db9fba4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1ff96f0f9da163cf18d63e59c0e97dda132419aac404c471725ee0ba5db9fba4","first_computed_at":"2026-07-05T00:21:07.066259Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:21:07.066259Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dVPMXtleAHGzLMeZiHJm9SZ8/FUYrAxZ59P/KP7MSypzu8oJDvYNCNM0HnS10Tp3ca0JkVQsdL43ITBEUvapDw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:21:07.066703Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.09108","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:45d3bc4d411a1583cef1bd8f6f1c8501bcfc5eb42745f03343f696fee80d418d","sha256:21926c9c93319d62122c8a635169e814443165ba2be8371a3bf0965ea86b7383"],"state_sha256":"1ac1273f52061ffb635d2add3f293552c1d65ce857572af1d0dcda5f8d5167f3"}