{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:35L3SYVACNFNXAGR3TA2R23YFT","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":"352d70cb1556074e7773907e91ff167e650c4d2295dcd70cd9a6eaf381b98b3d","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2018-10-16T03:58:14Z","title_canon_sha256":"bd8de8a473b30762c902bf352c36e9baffe83563754cfd8fbeb2d77836820446"},"schema_version":"1.0","source":{"id":"1810.06801","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.06801","created_at":"2026-05-17T23:47:12Z"},{"alias_kind":"arxiv_version","alias_value":"1810.06801v4","created_at":"2026-05-17T23:47:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.06801","created_at":"2026-05-17T23:47:12Z"},{"alias_kind":"pith_short_12","alias_value":"35L3SYVACNFN","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"35L3SYVACNFNXAGR","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"35L3SYVA","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:6377d83d73abf416046e04ff7e183e979706c9fb014ae7320ab56b4d5119c76b","target":"graph","created_at":"2026-05-17T23:47:12Z","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":"Momentum-based acceleration of stochastic gradient descent (SGD) is widely used in deep learning. We propose the quasi-hyperbolic momentum algorithm (QHM) as an extremely simple alteration of momentum SGD, averaging a plain SGD step with a momentum step. We describe numerous connections to and identities with other algorithms, and we characterize the set of two-state optimization algorithms that QHM can recover. Finally, we propose a QH variant of Adam called QHAdam, and we empirically demonstrate that our algorithms lead to significantly improved training in a variety of settings, including a","authors_text":"Denis Yarats, Jerry Ma","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2018-10-16T03:58:14Z","title":"Quasi-hyperbolic momentum and Adam for deep learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.06801","kind":"arxiv","version":4},"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:ef48cc6d2db669c4df6d73fdeb1515392cb8c1bd314265e6019ea28b57fb7294","target":"record","created_at":"2026-05-17T23:47:12Z","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":"352d70cb1556074e7773907e91ff167e650c4d2295dcd70cd9a6eaf381b98b3d","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2018-10-16T03:58:14Z","title_canon_sha256":"bd8de8a473b30762c902bf352c36e9baffe83563754cfd8fbeb2d77836820446"},"schema_version":"1.0","source":{"id":"1810.06801","kind":"arxiv","version":4}},"canonical_sha256":"df57b962a0134adb80d1dcc1a8eb782cd55f0b0d91416580e5ef6292bd96eb6d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"df57b962a0134adb80d1dcc1a8eb782cd55f0b0d91416580e5ef6292bd96eb6d","first_computed_at":"2026-05-17T23:47:12.414093Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:12.414093Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/kVvP1zVeu382rJYwb9pRbtseNnhevpPkeWNiSla30fKLdkrqNhJr797bOzAZPAL3HGeKFTCooyrd9eQxns/Ag==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:12.414612Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.06801","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef48cc6d2db669c4df6d73fdeb1515392cb8c1bd314265e6019ea28b57fb7294","sha256:6377d83d73abf416046e04ff7e183e979706c9fb014ae7320ab56b4d5119c76b"],"state_sha256":"5cd96e83f8d6b140e1e61e19d0803cee29cb3fca57d1104508544cb2a248f720"}