{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:UUJSYGMKGQ2XMTZ33T5PB5WHOP","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":"5e54a97fc1c6856c15f00c79bf0372d8fc3ae17a6fa59f490a24fb64163bed85","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-15T15:00:43Z","title_canon_sha256":"2791709576f0d50673292bd74dacf333be3664d9b59e8fcd1cbb1f30e4ed355e"},"schema_version":"1.0","source":{"id":"2010.07810","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.07810","created_at":"2026-07-05T01:43:21Z"},{"alias_kind":"arxiv_version","alias_value":"2010.07810v1","created_at":"2026-07-05T01:43:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.07810","created_at":"2026-07-05T01:43:21Z"},{"alias_kind":"pith_short_12","alias_value":"UUJSYGMKGQ2X","created_at":"2026-07-05T01:43:21Z"},{"alias_kind":"pith_short_16","alias_value":"UUJSYGMKGQ2XMTZ3","created_at":"2026-07-05T01:43:21Z"},{"alias_kind":"pith_short_8","alias_value":"UUJSYGMK","created_at":"2026-07-05T01:43:21Z"}],"graph_snapshots":[{"event_id":"sha256:b808aaa34fbe1165fb199e24de053691eae49f672da409e939bb959630efbe36","target":"graph","created_at":"2026-07-05T01:43:21Z","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/2010.07810/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data augmentation has emerged as a powerful technique for improving the performance of deep neural networks and led to state-of-the-art results in computer vision. However, state-of-the-art data augmentation strongly distorts training images, leading to a disparity between examples seen during training and inference. In this work, we explore a recently proposed training paradigm in order to correct for this disparity: using an auxiliary BatchNorm for the potentially out-of-distribution, strongly augmented images. Our experiments then focus on how to define the BatchNorm parameters that are use","authors_text":"Amil Merchant, Barret Zoph, Ekin Dogus Cubuk","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-15T15:00:43Z","title":"Does Data Augmentation Benefit from Split BatchNorms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.07810","kind":"arxiv","version":1},"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:c11e099a1bd38a74d44532d2d21afc04bd933c438f28756c166c5a1c58b628c9","target":"record","created_at":"2026-07-05T01:43:21Z","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":"5e54a97fc1c6856c15f00c79bf0372d8fc3ae17a6fa59f490a24fb64163bed85","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-15T15:00:43Z","title_canon_sha256":"2791709576f0d50673292bd74dacf333be3664d9b59e8fcd1cbb1f30e4ed355e"},"schema_version":"1.0","source":{"id":"2010.07810","kind":"arxiv","version":1}},"canonical_sha256":"a5132c198a3435764f3bdcfaf0f6c773ecbbb1ab4f4961200d5b923d4bde9588","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5132c198a3435764f3bdcfaf0f6c773ecbbb1ab4f4961200d5b923d4bde9588","first_computed_at":"2026-07-05T01:43:21.033664Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:43:21.033664Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N/+BHSUypjcYgmjXpD0sZSkz07AAZ9IfSrLd7IDeu06fx2N4YMbJU6Gw4aPtI4M3E2fQewE/+run7dYvDxRMCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:43:21.034026Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.07810","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c11e099a1bd38a74d44532d2d21afc04bd933c438f28756c166c5a1c58b628c9","sha256:b808aaa34fbe1165fb199e24de053691eae49f672da409e939bb959630efbe36"],"state_sha256":"9503ffc4086ce86c8012353d63d5e0693d18df1bd9ea22ff115b02fcb2d4b42a"}