{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:WMSIAHI6XZL2CGVLF45P6P24AX","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":"87188790f6f106b516e1cecb5f445ee2738d668ced1ac02f7793efa42b9640ac","cross_cats_sorted":["cs.AI","cs.CL","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-06-19T22:36:33Z","title_canon_sha256":"cea59759a559d172306aa2603c22e6f9517b3f47b477227fdc31c2701384a3de"},"schema_version":"1.0","source":{"id":"1706.06197","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.06197","created_at":"2026-05-17T23:51:39Z"},{"alias_kind":"arxiv_version","alias_value":"1706.06197v5","created_at":"2026-05-17T23:51:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.06197","created_at":"2026-05-17T23:51:39Z"},{"alias_kind":"pith_short_12","alias_value":"WMSIAHI6XZL2","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WMSIAHI6XZL2CGVL","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WMSIAHI6","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:4cefddee7c90c81b0ccb23c0b23770e41e793c7b037e1a79492c8aeb42549717","target":"graph","created_at":"2026-05-17T23:51:39Z","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":"We propose a simple yet effective technique for neural network learning. The forward propagation is computed as usual. In back propagation, only a small subset of the full gradient is computed to update the model parameters. The gradient vectors are sparsified in such a way that only the top-$k$ elements (in terms of magnitude) are kept. As a result, only $k$ rows or columns (depending on the layout) of the weight matrix are modified, leading to a linear reduction ($k$ divided by the vector dimension) in the computational cost. Surprisingly, experimental results demonstrate that we can update ","authors_text":"Houfeng Wang, Shuming Ma, Xuancheng Ren, Xu Sun","cross_cats":["cs.AI","cs.CL","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-06-19T22:36:33Z","title":"meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.06197","kind":"arxiv","version":5},"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":"sha256:71fc5559a5aaa30e581bed190ba74220a152e28df640ad6d205e6a34f4574d00","target":"record","created_at":"2026-05-17T23:51:39Z","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":"87188790f6f106b516e1cecb5f445ee2738d668ced1ac02f7793efa42b9640ac","cross_cats_sorted":["cs.AI","cs.CL","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-06-19T22:36:33Z","title_canon_sha256":"cea59759a559d172306aa2603c22e6f9517b3f47b477227fdc31c2701384a3de"},"schema_version":"1.0","source":{"id":"1706.06197","kind":"arxiv","version":5}},"canonical_sha256":"b324801d1ebe57a11aab2f3aff3f5c05f59809af08d6f5f13c0cd98e88c84db5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b324801d1ebe57a11aab2f3aff3f5c05f59809af08d6f5f13c0cd98e88c84db5","first_computed_at":"2026-05-17T23:51:39.894142Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:51:39.894142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6aFXSb21CBo2vj4dxVvWNGFzwXMpIzvQt1zMuqhSJmfuVf2mApN8uPfxYRHOSC7MyH1Ptt+y9lUJNuaCwMY3Bw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:51:39.895032Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.06197","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71fc5559a5aaa30e581bed190ba74220a152e28df640ad6d205e6a34f4574d00","sha256:4cefddee7c90c81b0ccb23c0b23770e41e793c7b037e1a79492c8aeb42549717"],"state_sha256":"ac57ebb0322f23016bad2a09bd1b9af378371aad720d605896fcba7904a7fc35"}