{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:4UT2CLU7TVK3DC4QIX5DPPSH7G","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":"9771ee8d6d8c8abb0ed5bd5b8b4af2b1afdeab37782cb339d4524192604f3f59","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-28T05:55:57Z","title_canon_sha256":"03b1c9ad440e593d845493cf278d8a96ff51364e6b0239ff0541e0b72e60fce7"},"schema_version":"1.0","source":{"id":"1806.10779","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.10779","created_at":"2026-05-17T23:47:53Z"},{"alias_kind":"arxiv_version","alias_value":"1806.10779v5","created_at":"2026-05-17T23:47:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.10779","created_at":"2026-05-17T23:47:53Z"},{"alias_kind":"pith_short_12","alias_value":"4UT2CLU7TVK3","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"4UT2CLU7TVK3DC4Q","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"4UT2CLU7","created_at":"2026-05-18T12:32:05Z"}],"graph_snapshots":[{"event_id":"sha256:757e05d6442c517585a6520fb890e4e2523e9017234cee7fe0d1affca5257958","target":"graph","created_at":"2026-05-17T23:47:53Z","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 address a learning-to-normalize problem by proposing Switchable Normalization (SN), which learns to select different normalizers for different normalization layers of a deep neural network. SN employs three distinct scopes to compute statistics (means and variances) including a channel, a layer, and a minibatch. SN switches between them by learning their importance weights in an end-to-end manner. It has several good properties. First, it adapts to various network architectures and tasks (see Fig.1). Second, it is robust to a wide range of batch sizes, maintaining high performance even when","authors_text":"Jiamin Ren, Jingyu Li, Ping Luo, Ruimao Zhang, Zhanglin Peng","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-28T05:55:57Z","title":"Differentiable Learning-to-Normalize via Switchable Normalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.10779","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:ddcc24cd5c257601fa9495398a44c5f4df5b72987c10494c8da198fd9790285d","target":"record","created_at":"2026-05-17T23:47:53Z","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":"9771ee8d6d8c8abb0ed5bd5b8b4af2b1afdeab37782cb339d4524192604f3f59","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-28T05:55:57Z","title_canon_sha256":"03b1c9ad440e593d845493cf278d8a96ff51364e6b0239ff0541e0b72e60fce7"},"schema_version":"1.0","source":{"id":"1806.10779","kind":"arxiv","version":5}},"canonical_sha256":"e527a12e9f9d55b18b9045fa37be47f997250dd0aa64df0c3e5c7e4606b1c17e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e527a12e9f9d55b18b9045fa37be47f997250dd0aa64df0c3e5c7e4606b1c17e","first_computed_at":"2026-05-17T23:47:53.905828Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:53.905828Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YFqafFuUqo5WwnSzeuqggxN2QRK8i3Ls3q5zM0rV62AZmcEj9vkzJjbRErxSVhzycfcRUNIbM5HgUdvNSMVfBw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:53.906323Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.10779","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ddcc24cd5c257601fa9495398a44c5f4df5b72987c10494c8da198fd9790285d","sha256:757e05d6442c517585a6520fb890e4e2523e9017234cee7fe0d1affca5257958"],"state_sha256":"c32d12f5cf46a440fe53e4a258742f6185925ebf6c2db5e2ad125ebaec5e0625"}