{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:FOVFFVOXT2AXNM4LKTBMWI6N4E","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":"6f11a64744d482876558ffc63cf2759cfc5589369eb3b9ca344d8c891b38272f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-03-05T18:16:43Z","title_canon_sha256":"5fbd359fb424bf955ec9912296adb0f4316fee0fc4c399494f514e7f6ee3f3b3"},"schema_version":"1.0","source":{"id":"1803.01814","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.01814","created_at":"2026-05-17T23:54:34Z"},{"alias_kind":"arxiv_version","alias_value":"1803.01814v3","created_at":"2026-05-17T23:54:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.01814","created_at":"2026-05-17T23:54:34Z"},{"alias_kind":"pith_short_12","alias_value":"FOVFFVOXT2AX","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_16","alias_value":"FOVFFVOXT2AXNM4L","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_8","alias_value":"FOVFFVOX","created_at":"2026-05-18T12:32:25Z"}],"graph_snapshots":[{"event_id":"sha256:e6fa41809f2a1961c7edadf2f634d03225d037f8d3dba8976fdbe33ccf92783a","target":"graph","created_at":"2026-05-17T23:54:34Z","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":"Over the past few years, Batch-Normalization has been commonly used in deep networks, allowing faster training and high performance for a wide variety of applications. However, the reasons behind its merits remained unanswered, with several shortcomings that hindered its use for certain tasks. In this work, we present a novel view on the purpose and function of normalization methods and weight-decay, as tools to decouple weights' norm from the underlying optimized objective. This property highlights the connection between practices such as normalization, weight decay and learning-rate adjustme","authors_text":"Daniel Soudry, Elad Hoffer, Itay Golan, Ron Banner","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-03-05T18:16:43Z","title":"Norm matters: efficient and accurate normalization schemes in deep networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.01814","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:a8c50520befa389ff1650ae0a1a852e82642b20839b58d2a7290359e6db5ca6e","target":"record","created_at":"2026-05-17T23:54:34Z","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":"6f11a64744d482876558ffc63cf2759cfc5589369eb3b9ca344d8c891b38272f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-03-05T18:16:43Z","title_canon_sha256":"5fbd359fb424bf955ec9912296adb0f4316fee0fc4c399494f514e7f6ee3f3b3"},"schema_version":"1.0","source":{"id":"1803.01814","kind":"arxiv","version":3}},"canonical_sha256":"2baa52d5d79e8176b38b54c2cb23cde1349ff34bc888298f90ad5728c251e16c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2baa52d5d79e8176b38b54c2cb23cde1349ff34bc888298f90ad5728c251e16c","first_computed_at":"2026-05-17T23:54:34.508175Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:34.508175Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Pc6DLMTtm68OsGuF4wBXyp+kebAP9x3wQgAIebDuWxhv2W+mAkeKowInMPX9+Q9w7aD3pPDokusllYn0WLxaCA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:34.508660Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.01814","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a8c50520befa389ff1650ae0a1a852e82642b20839b58d2a7290359e6db5ca6e","sha256:e6fa41809f2a1961c7edadf2f634d03225d037f8d3dba8976fdbe33ccf92783a"],"state_sha256":"570df387b2fb82b053e760ecbb4b1d8a72c62a561ff11bf31a0671b948e44c64"}